Special Section on the BRAIN Initiative

Combined two-photon imaging, electrophysiological, and anatomical investigation of the human neocortex in vitro

[+] Author Affiliations
Bálint Péter Kerekes, István Ulbert

Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, H-1083 Budapest, Práter utca 50/a, Hungary

Research Centre for Natural Sciences, Hungarian Academy of Sciences, Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary

Kinga Tóth

Research Centre for Natural Sciences, Hungarian Academy of Sciences, Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary

Attila Kaszás, Balázs Chiovini, Zoltán Szadai, Dénes Pálfi, Balázs Rózsa

Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, H-1083 Budapest, Práter utca 50/a, Hungary

Two-Photon Imaging Center, Hungarian Academy of Sciences, Institute of Experimental Medicine, Budapest, Hungary

Gergely Szalay, Klaudia Spitzer

Two-Photon Imaging Center, Hungarian Academy of Sciences, Institute of Experimental Medicine, Budapest, Hungary

Attila Bagó

National Institute of Clinical Neuroscience, Department of Neurooncology, Budapest, Hungary

Lucia Wittner

Research Centre for Natural Sciences, Hungarian Academy of Sciences, Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary

National Institute of Clinical Neuroscience, Department of Neurooncology, Budapest, Hungary

Neurophoton. 1(1), 011013 (Sep 11, 2014). doi:10.1117/1.NPh.1.1.011013
History: Received March 18, 2014; Revised August 19, 2014; Accepted August 20, 2014
Text Size: A A A

Open Access Open Access

Abstract.  Spontaneous synchronous population activity (SPA) can be detected by electrophysiological methods in cortical slices of epileptic patients, maintained in a physiological medium in vitro. In order to gain additional spatial information about the network mechanisms involved in the SPA generation, we combined electrophysiological studies with two-photon imaging. Neocortical slices prepared from postoperative tissue of epileptic and tumor patients were maintained in a dual perfusion chamber in a physiological incubation medium. SPA was recorded with a 24-channel extracellular linear microelectrode covering all neocortical layers. After identifying the electrophysiologically active regions of the slice, bolus loading of neuronal and glial markers was applied on the tissue. SPA-related Ca2+ transients were detected in a large population of neighboring neurons with two-photon microscopy, simultaneous with extracellular SPA and intracellular whole-cell patch-clamp recordings. The intracellularly recorded cells were filled for subsequent anatomy. The cells were reconstructed in three dimensions and examined with light- and transmission electron microscopy. Combining high spatial resolution two-photon Ca2+ imaging techniques and high temporal resolution extra- and intracellular electrophysiology with cellular anatomy may permit a deeper understanding of the structural and functional properties of the human neocortex.

Figures in this Article

Epilepsy is a common neurological disorder in humans and it is known to be related to hyperactivity of neuronal circuits. Pharmacological therapy is efficient in the majority of the epilepsies, but a significant percentage of the patients are resistant to medication.1 In well circumscribed cases of pharmacologically resistant epilepsies, the seizure focus can be identified and the pathological neocortical tissue is neurosurgically removed. Healthy neocortical tissue is also routinely removed due to surgical technical reasons from patients with tumor but without epilepsy, when the pathological mass is localized in the subcortical areas. Comparing the morphology and activity of epileptic and nonepileptic human brain tissues offers an excellent possibility to investigate the normal and impaired neuronal mechanisms at the network, single cell, and subcellular levels.

Spontaneous synchronous population activity (SPA) can be observed in vitro during an extracellular electrophysiological recording of local field potentials (LFPs) in epileptic human neocortical slice preparations in a physiological bathing medium (our data).24 These synchronous population bursts consist of rhythmically recurring extracellular LFP deflections associated with high frequency oscillations and an increased neuronal firing.2 Both glutamatergic excitatory and GABAergic inhibitory signaling are involved, with pyramidal cells show either depolarizing or hyperpolarizing and even mixed responses during SPA.2

Ca2+ imaging of neurons is widely used to monitor cellular activity in animal slice preparations (for review see 5); however, we have only limited knowledge of Ca2+ concentration changes in human neurons. Calcium imaging of human neurons was investigated in cells differentiated from induced pluripotent stem cell lines,6 and in cultured neurons of the enteric nervous system.7 Furthermore, a recent study shows spontaneous Ca2+ elevations in human neocortical and hippocampal astrocytes,8 but nothing is known about the intracellular Ca2+ properties of neurons derived from native human tissue of the central nervous system.

While a two-photon Ca2+ imaging technique has high spatial resolution (<1μm), it can cover only a relatively small area of interest (with a high numeric aperture objective typically up to maximum of 1×1mm). On the other hand, multiple channel extracellular electrophysiology can cover large cortical areas (3 to 4 mm) at the expense of its low spatial resolution (100 to 150μm). The activity of neurons restricted to one or two cortical layers (<1mm) can be monitored with two-photon imaging, whereas multiple channel extracellular electrophysiology is needed to record the activity of neurons through the entire depth (3 to 4 mm) of the human neocortex. The temporal resolution of the two techniques is also different: electrophysiological changes reflecting neuronal activity are considerably faster (<1ms) than changes in intracellular Ca2+ (usually >100ms, but can be <100μs when using temporal super resolution microscopy9). Combining these two methods has several advantages. First, it helps us to gain more information on the role of different neurons in the emergence of population activity. Recording with the aid of the a linear multielectrode gives information about the fast electrophysiological properties of SPA, detected in all neocortical layers, whereas Ca2+ imaging reveals the activity of a relatively large group of neighboring neurons (tens of bolus loaded cells), and their contribution to the generation of SPA. In addition, two-photon microscopy can detect inactive neurons which are unnoticed in extracellular electrophysiological recordings. Second, the simultaneous use of Ca2+ imaging and whole-cell patch-clamp recording helps us to correlate electrophysiological activity and Ca2+ signals in human neurons. One can simultaneously observe and manipulate the membrane potential fluctuations of neurons with intracellular patch-clamp recordings and relate to changes in their Ca2+ concentrations. Completing these measurements with the detection of extracellular activity, we can relate electrophysiological and Ca2+ signals of neurons active during SPA. In addition to Ca2+ imaging, two-photon uncaging can be used to investigate the neuronal input-output functions and postsynaptic signal integration. Cell filling and anatomical reconstruction at the light and electron microscopic level may add important morphological information about the subcellular, cellular properties of neurons that respond or are silent during human neocortical SPA.

Here, we report for the first time the two-photon Ca2+ imaging of human neocortical neurons. We show a method combining multiple channel extracellular electrophysiology, simultaneous intracellular recording, and two-photon Ca2+ imaging and uncaging supplemented by fine scale morphological analysis. We also describe the methodological difficulties we faced during our experiments. We discuss that this complex method is suitable to reveal subcellular, cellular, and network properties of human neocortical neurons engaged in spontaneous population activity.

Patients

In the present study—investigating human neocortical tissue slices—we included three patients with therapy resistant focal epilepsy (Pts 4, 5, 7, age: 26 to 52 years) and three patients with brain tumor but without epilepsy (Pts 1, 2, 6, age: 64 to 78 years). Additionally, there was one patient who had tumor associated epilepsy (Pt 3, age: 71 years). Tissue samples were derived from the temporal (Pts 2, 4, 5, 6, 7), parietal (Pt 1), and frontal (Pt 3) lobes. The seizure focus was identified by multimodal studies including video-electroencephalography monitoring and magnetic resonance imaging. Brain tumor was diagnosed by computed tomography and/or magnetic resonance imaging. The patients had subcortical tumors. We examined the neocortex above the tumor, which needed to be removed for surgical technical reasons. Patients underwent their surgery in the National Institute of Clinical Neuroscience in Budapest, Hungary. All patients gave written consent approved by the Regional and Institutional Committee of Science and Research Ethics of Scientific Council of Health (ETT TUKEB 20680-4/2012/EKU) in accordance with the Declaration of Helsinki.

Neocortical samples were obtained from a total of 21 patients (n=11 epileptic patients, age range: 19 to 71 years, mean±standard deviation (SD): 43±17years and n=10 tumor patients, age range: 50 to 76 years, mean±SD: 64±8years). We could not achieve satisfactory recordings in several cases (n=7 epileptic and n=7 tumor patients), therefore, these patients were excluded from the data analysis. We always followed our standardized protocol (see below) but the tissue quality was unacceptable in these latter cases. Criteria for acceptable tissue quality were the following (1) cellular and/or population activity on the local field potential gradient (LFPg) or LFP recordings, (2) at least 25% of the cells looked healthy on the picture acquired with the transmission infrared mode of the two-photon microscope.

Tissue Preparation

Tissue was transported from the operating room to the laboratory in an ice cold solution containing (in mM) 248 D-sucrose, 26 NaHCO3, 1 KCl, 1 CaCl2, 10 MgCl2, 10 D-glucose, and 1 phenol red, equilibrated with 5% CO2 in 95% O2. Neocortical slices of 500-μm thickness were cut with a vibratome (Leica 1000 S). They were transferred into a dual superfusion chamber mounted on a two-photon microscope. In this type of chamber, artificial cerebrospinal fluid (ACSF) is allowed to flow both above and below the slice, resulting in a good oxygen supply, and in more well maintained network oscillations.1012 Slices were perfused with a warm (36°C) ACSF containing (in mM) 124 NaCl, 26 NaHCO3, 3.5 KCl, 1 MgCl2, 1 CaCl2, and 10 D-glucose, equilibrated with 5% CO2 in 95% O2. The high flow rate of the bathing medium was used to maintain the optimal oxygenation level of the tissue.1013

Bolus loading of 1.75 mM Oregon Green 488 BAPTA-1 AM (OGB-1-AM), 350μM sulforhodamine 101 (SR-101), and 20% Pluronic F-127 in dimethyl sulfoxide was applied on the tissue (Invitrogen, Carlsbad, California) to visualize neurons and glial cells, respectively.9,14,15 Bolus loading was usually performed in a depth of about 120 to 130μm from the surface.

Electrophysiology Recordings

Intracellular patch-clamp recordings were made with glass electrodes (5 to 9) filled with (in mM) 125 potassium gluconate, 20 KCl, 10 Hepes, 10 di-Tris-salt phosphocreatine, 0.3 Na-GTP, 4 Mg-ATP, 10 NaCl, 0.008 biocytin, and were completed with 0.06 Oregon green BAPTA-1 (OGB-1), and 0.1 Alexa594 (Invitrogen), in a depth of 30 to 100μm from the surface of the slice. Electrophysiological recordings were made using a MultiClamp 700B Amplifier (Axon Instruments, Foster City, California). Data acquisition was performed by using pClamp8 (Axon Instruments) and a custom made program written in MATLAB (The MathWorks, Natick, Massachusetts). Cells were held at 65mV in current clamp recordings.

The extracellular LFPg was recorded with a linear multielectrode array (24 channels, distance between contacts: 150μm,1619 using a custom made voltage gradient amplifier (passband 0.01 Hz to 10 kHz). Signals were digitized with a 32-channel, 16-bit resolution analog-to-digital converter (National Instruments, Austin, Texas) at a 20 kHz sampling rate, using home written routines for LabView7 (National Instruments). The linear multielectrode was placed on the surface of the neocortical slice, perpendicularly to the pial surface. This way, the whole extent of the examined region was covered by the array so that extracellular recordings were made from each neocortical layer.

LFP signals were recorded with an additional glass patch-clamp electrode filled with ACSF on the sites where the largest SPA was detected with the linear multielectrode, usually at a depth of 150μm from the surface of the slice. The LFP, LFPg, and whole-cell current clamp recordings were simultaneously registered with Ca2+ imaging (Fig. 1).

Graphic Jump LocationF1 :

Combined two-photon and electrophysiological recording of human neocortical neuronal populations. (a) Schematic drawing of the experimental design. Laminar recordings revealed the location of synchronous population activity (SPA) in human neocortical slices (brain slice). Simultaneous two-photon Ca2+ imaging, extracellular and intracellular recordings were made. Subsequently, intracellularly filled cells were anatomically analyzed using light- and electron microscopy, as well as reconstructed in three dimensions. (b) Laminar recordings were made in the human neocortex in vitro. The 24-channel linear multielectrode array was placed perpendicularly to the pial surface and covered the whole width of the neocortex, permitting recordings from each layer. LFPg recordings from 8 channels are shown in this figure. SPA (marked with black triangles) emerged in layers I-III in the neocortex of patient 1. (c) Two-photon image of a human neuronal population loaded with OGB-1-AM Ca2+ dye for population imaging. A pyramidal neuron was patch-clamped and filled with cell impermeable OGB-1 (60μM) and Alexa594 (100μM) through the recording pipette. The cell was recorded with a loose patch technique (see also d and e). Neuronal somata were scanned with constant speed along the white and colored lines while intermediate sections were jumped over within 100μs using a spline interpolated path (multiple line scanning method). Red and green photomultiplier (PMT) channel data are overlaid. (d) Simultaneous LFP, Ca2+ signal (Ca2+), and loose patch-clamp recording during three successive spontaneous SPA events (black triangles). Ca2+ transients show the responses of eight neurons from the 18 recorded as shown in (c). Different colors of the Ca2+ signals represent different cells (middle traces). Note that three cells were responding to SPAs, but the other cells did not show increased Ca2+ levels. The intracellularly recorded cell (IC) shown in (c) was burst firing during SPA (bottom), which is also reflected in a simultaneous increase in the intracellular Ca2+ level (green line). Note the trial-to-trial variability in relative Ca2+ responses between neurons. (e) LFP signal of a spontaneous SPA event (black triangle) on an enlarged view with the corresponding Ca2+ responses (middle) recorded from the neuronal population shown in (c). Bottom, simultaneously recorded loose-patch signal (IC) from the neuron in (c). Note the large Ca2+ signal during the somatic AP burst associated to the SPA event (green line in the middle).

Multiphoton Imaging

Two-photon imaging was performed using a laser scanning system Femto2D-uncage (Femtonics, Budapest, Hungary). The imaging laser wavelength was set to 830 nm and to 840 nm in the uncaging experiments (Mai Tai HP Deep See, SpectraPhysics, Santa Clara, California or Chameleon, Coherent, Santa Clara, California). The excitation was delivered to the sample, and the fluorescence signal was collected using an XLUMPlanFI20×/1.0 lens (Olympus, Tokyo, Japan, 20×, NA 1.0) and then separated using dichroic mirrors (700dcxru, Chroma Technology, Bellows Falls, Vermont) before the two channel detector unit which was sitting on the objective arm. For more technical details about the two-photon imaging system see Refs. 9, 11, and 12. To minimize photodamage, the laser intensity was always kept at the minimum required to attain a sufficient signal-to-noise ratio.13,20 Free line scans were placed following the curvature of long dendritic segments to monitor the backpropagating action potentials (AP) and uncaging induced Ca2+ signals.13 To measure population activity, neuronal somata were scanned with constant speed using lines which slightly extended the somata to decrease scanning-induced noise artifacts, while intermediate sections were jumped over within 100μs using a spline interpolated path (multiple line scanning method).21 As all unnecessary background areas were avoided in this way, the method provided an increased signal-to-noise ratio and a higher measurement speed. The scanning time of about 6 ms allowed us to analyze the spatiotemporal properties of Ca2+ compartments along long dendritic segments. Neuronal cell bodies were usually scanned at a depth of 80 to 150μm from the surface of the acute slices.

For single cell recordings, we used additional OGB-1 (green) and Alexa594 (red) in the patch pipette for three reasons. First, the amount of OGB-1-AM taken by the cells is usually enough to only mark the cell bodies. Therefore, additional, cell impermeable OGB-1 was injected through the patch pipette which was diffused into the dendrites within 20 to 30 min. This allowed us to perform dendritic Ca2+ recordings. Second, the fluorescent mode of the two-photon microscope was used to reach the bolus loaded cells located in deeper regions of the slice. Then whole-cell recordings of some selected neurons were realized by shadow patching using the red signal of Alexa594. Third, in some cases, we increased the signal-to-noise ratio of our recordings by subtracting the red channel signal from the green channel signal. Intracellular recording started at 20 to 30 min after break-in with the patch pipette. At the end of each experiment, z-stack images of the area of interest were taken. To monitor recording conditions and the potential photodamage, we repetitively measured Ca2+ responses induced by a burst of five AP (200 to 400 pA, 5 ms, at 35 Hz).

We used a Femto2D microscope in a combination with Axon amplifiers (see above). Both the microscope and the electrophysiological equipment were shielded; therefore, no electric artifact was observed during scanning. We used an external shutter to switch on and off the laser which generated a small artifact at the beginning and at the end of the imaging and lines’ scanning. These artifacts could be easily recognized and were removed from the recordings.

Multiphoton Glutamate Uncaging

In uncaging experiments, the bath solution was exchanged with ACSF containing 4-methoxy-7-nitroindolinyl (MNI)-caged L-glutamate trifuoroacetate (MNI-glutamate TFA; 2.5 mM; Femtonics, Budapest, Hungary). Fast photolysis of the caged glutamate was performed with ultrafast, pulsed lasers at 720 nm. Laser intensity was controlled with an electro-optical modulator in the Femto2D-uncage microscope. A motorized beam stabilization unit provided 100-nm radial and 300-nm axial precision in the overlapping of the imaging and uncaging point spread functions. The overlap was monitored by the transmitted infrared detector. Chromatic aberration was compensated for at the focal plane. Free line scanning of the dendritic segments was interleaved with uncaging periods when galvano mirrors jumped to the preselected locations (within 60 to 80μs jump time) and then returned to the scanning trajectory. The distance of uncaging locations from the activated dendritic segments was also monitored by measuring the fluorescence artifact and keeping it below a given critical value (2000 analog-to-digital converter unit at 90% photomultiplier saturation) during photostimulations. The uncaging evoked artifact was relatively small due to the strong infrared filtering before detectors and we also used the motion artifact correction program module of the Femto2D microscope to minimize dendritic excitation during uncaging. With the use of this program module, we were able to correct for the sample drift during measurements as well as to keep the relative distance between dendrite and uncaging locations. Therefore, the overlap between uncaging locations and the dendritic segment was minimal, which decreased the fluorescent artifact during uncaging. For more technical details about uncaging techniques see Refs. 12 and 13.

Data Analysis

LFPg data analysis was performed with Neuroscan Edit 4.5 program (Compumedics Neuroscan, Charlotte, North Carolina), and LFP and patch-clamp recordings were analyzed using the pClamp 8 program. Home written programs for MATLAB were used to analyze the data of two-photon imaging. The LFP signal was bandpass filtered between 1 and 30 Hz to determine the peak of the SPA. The peak of the SPA was set as time zero for further event related analyses.

During intracellular Ca2+ signal detection, the baseline was set for each cell at 120 to 80 ms before the peak of each SPA. The Ca2+ transient was considered to be significantly increased when it passed two times the standard deviation (SD) of the baseline interval. For each cell during each SPA event, we determined whether or not its Ca2+ signal passed this significance level.

Cell Morphology

Biocytin was passively diffused into the cell through the patch pipette during intracellular recording. After recording, slices were maintained for at least 30 min in the recording chamber, and then fixed overnight in 4% paraformaldehyde with 15% picric acid in 0.1 M phosphate buffer (PB, pH 7.4) at 4°C. The slices were resectioned (Leica 1200 S, Wetzlar, Germany) at 60μm and freeze-thawed above liquid N2 in 0.1 M PB containing 30% sucrose. Endogenous peroxidase activity was blocked by 1% H2O2 in Tris-buffered saline for 10 min. Cells containing biocytin were revealed with the avidin-biotinylated horseradish complex reaction (Vector, 1.5 h, 1:250) using 3,3′-diaminobenzidine-tetrahydrochloride (Sigma, St. Louis, Missouri, 0.05 M in Tris-buffer, pH 7.6) as the chromogen. Sections were osmicated (20 min, 0.5% OsO4), dehydrated in ethanol, and mounted in Durcupan (ACM; Fluka, Buchs, Switzerland).

One biocytin-filled neuron was chosen to be digitally reconstructed in three dimensions using the NeuroLucida system (MicroBrightField Inc., Williston, Vermont). A shrinkage correction factor of 1.33 was used in the x and y-dimensions.22 Shrinkage in the z-dimension was measured in 10 randomly chosen points in the section containing the cell body and was averaged. A shrinkage correction factor of 1.41 was applied in the z-dimension.

Electron Microscopy

After light microscopic examination (and three-dimensional reconstruction of the chosen filled cell), areas of interest were re-embedded and sectioned for electron microscopy with a Leica ultramicrotome (Leica EM UT7). Ultrathin (60nm) serial sections were collected on Formvar-coated single slot grids, stained with lead citrate, and examined with a Hitachi 7100 (Hitachi, Tokyo, Japan) transmission electron microscope.

Recording the Spontaneous Network Activity by Simultaneous Ca2+ Imaging and Field-Potential Measurements

The LFPg was recorded in 22 human neocortical slices (9 slices from 3 tumor patients, and 13 slices from 4 epileptic patients) using the 24-channel laminar multielectrode. SPA was detected in 10 slices (4 slices from tumor patients, 6 slices from epileptic patients) by using the following procedure. The multielectrode was placed on the surface of the slice perpendicular to the pial surface, allowing electrophysiological recordings from all neocortical layers. The slices were mapped to localize the areas generating SPA by recording every 300 to 400 μm from one end of the slice to the other end [Figs. 1(a) and 1(b)].

After mapping the neocortical slices with the laminar multielectrode, regions where SPA could be detected with LFPg recording were chosen for further two-photon Ca2+ imaging and intracellular patch-clamp recordings. Bolus loading was performed on the sites where SPA had the largest LFPg amplitude, and additional extracellular LFP signals were recorded with a glass patch pipette filled with ACSF at the site of the bolus loaded cells. This way we could effectively record the SPA generation associated Ca2+ signals with two-photon imaging in human neuronal populations. The multielectrode array measured neuronal activity in the entire width of the examined neocortical region near the site of the bolus loading. We simultaneously recorded the LFP signal of the SPAs and the Ca2+ signals of the loaded neurons in 6 slices. In the remaining 4 slices, SPA could not be detected after bolus loading. In the slices with detectable SPA, a frame scan was taken after bolus loading, then cells were selected for fast measurement [Fig. 1(c)] and were measured using the multiple line scanning method.13 The advantage of this method is that it increases the product of the measurement speed and signal collection efficiency23 resulting in a high measurement speed and increased signal-to-noise ratio [Figs. 1(c)1(e)]. We simultaneously recorded the LFP signal of the SPAs and the somatic Ca2+ signal of 31 neurons in 2 slices from tumor patients and 55 neurons in 4 slices from epileptic patients (Table 1).

Table Grahic Jump Location
Table 1Examination of cellular activity during synchronous population activity (SPA) with two-photon Ca2+ imaging in epileptic and nonepileptic tissue.

A relative increase in Ca2+ signal from the baseline larger than 2× SD of the baseline was taken as a significant Ca2+ response. The baseline was measured from 120 to 80ms before the peak of every SPA event. Based on their response rate, we divided neurons into four subcategories. Beside silent cells, the neurons showing at least one significant Ca2+ response were taken as responding cells. We defined occasionally responding cells as cells which showed significant Ca2+ signals during <20% of the SPA events. Nonreliably responding cells were defined with their 20% to 40% response rate during the SPA events, whereas reliably responding cells showed Ca2+ responses to >40% of the SPA events. With this method, we identified 22 silent cells (68%), 4 occasionally cells (13%), 1 nonreliably cell (3%), and 5 reliably responding (16%) cells in the tumor tissue. The distribution of the responding cells was considerably different in epileptic tissue: we found 19 silent cells (35%), 20 occasionally cells (36%), 11 nonreliably cells (20%), and 5 reliably (9%) responding cells (Table 1).

Intracellular Recordings

Based on the Ca2+ responses of the cells within the region of interest, we chose nonreliably or reliably responding neurons for further intracellular recording. Whole-cell (n=7 neurons) or loose patch-clamp (n=2 neurons) recordings were made to reveal the electrophysiological activity of the given cell. We performed simultaneous LFP, somatic membrane potential, and Ca2+ recordings. The Ca2+ responses of the patched neurons and also the neighboring cells were detected [Figs. 1(c)1(e)]. Based on the morphology revealed by the fluorescent dyes, electrophysiological recording was made from 3 pyramidal cells and 6 interneurons. The firing pattern and intrinsic electrophysiological properties of these neurons showed high similarities to those described in earlier studies (for review see 24).

We examined the somatic and dendritic Ca2+ responses of both interneurons [n=4, Figs. 2(a)2(e)] and pyramidal cells [n=3, Figs. 3(g)1(i)], together with their somatic electrophysiological activity. Both the somatic [Figs. 1(d), 1(e), 3(a), and 3(b)] and the dendritic [Figs. 2(b) and 3(i)] Ca2+ signals of human neurons were comparable to those found in animal tissue (for review see 5). As has been described in animal models,25,26 positive correlation between the number of the somatic AP and the amplitude of the dendritic Ca2+ signal was observed [Figs. 2(b) and 3(i)]. Briefly, bursts of AP generated in pyramidal cells (n=2 cells) and multiple AP detected in interneurons (n=2 cells) resulted in larger dendritic Ca2+ increase than single AP. Only single AP but no bursts or multiple AP were recorded in the remaining one pyramidal cell and two interneurons. A detailed future study is needed to exactly correlate somatic electrophysiological recording with the somatic and dendritic Ca2+ signals of both human pyramidal cells and interneurons.

Graphic Jump LocationF2 :

Two-photon measurements of human interneurons. (a) Top, maximum intensity z-projection image of a human aspiny neocortical interneuron with a dendritic segment selected for free line scanning (white dashed line). Only the red PMT channel data are shown. Bottom, Ca2+ response measured along the white dashed line plotted as a function of distance along the dendrite and time. Responses were spatially normalized to the background fluorescence level. (b) Top, spatial integral of the dendritic Ca2+ response shown in (a). Bottom, simultaneously recorded somatic membrane potential. Dashed gray lines mark the initiation and termination of short temporal intervals with high AP number and dotted lines mark single APs. Note the synchronous increase in average dendritic Ca2+ response during the periods with multiple APs. (c) Light microscopy image of the interneuron shown in (a). The cell was filled with biocytin and was processed for anatomy following the two-photon experiment. (d) Top, maximum intensity z-projection image of a different human neocortical interneuron. Only the red channel data are shown. Middle, dendritic segment with the uncaging locations (white spots). Blue line indicates the scanning path of free line scanning. Bottom, Ca2+ response, recorded along the blue line in the middle, was normalized to the background fluorescence level and plotted as a function of dendritic distance and time. Ca2+ response was evoked by two-photon glutamate uncaging in the white points. Uncaging time is indicated by black arrowhead. (e) Top, spatial average of five Ca2+ responses detected in the dendritic segment shown in (d). Bottom, simultaneously recorded somatic membrane potential. Note that both the uncaging evoked EPSP (black arrowhead) and the somatic current injection induced AP were associated with an increase in dendritic Ca2+ level, but uncaging evoked a much larger response.

Graphic Jump LocationF3 :

Two-photon measurements of human pyramidal cells. (a) Top, maximum intensity z-projection of a neuronal population from a human neocortical slice loaded with OGB-1-AM and SR-101. White lines and numbers indicate regions of interest selected for multiple line scanning, and cover nine neurons. Red and green PMT channel data are overlaid. Bottom, corresponding representative Ca2+ response recorded along the white lines in top panel is plotted as a function of distance along line and time after normalization for the background fluorescence intensity. Ca2+ signal of 9 cells out of the 13 recorded are indicated with numbers and brackets. (b) Top, spatial average of Ca2+ response for cell #6 shown in (a). Bottom, Ca2+ response for cell #6 as in (a), but data were recorded with a higher spatial discretization and were rotated by 90 deg before plotting. (c) Maximum intensity z-projection image of a population of human neurons loaded with OGB-1-AM dye. The neuron corresponding to region #6 [same as in (a) and (b)] was loaded through the recording pipette with the cell impermeable green Ca2+ dye, OGB-1, the red Alexa594 and biocytin before whole-cell recording. Red and green PMT channel data are overlaid. White lines and numbers indicate the same regions of interest as in (a). (d) Light micrograph of the cell #6 shown in (c), processed for anatomy. The axon initial segment is marked with arrow. (e) The dendritic (blue) and axonal (pink) arbor of the pyramidal cell #6 in (c) was reconstructed in three dimensions. (f) The electron microscopic investigation of the same cell (#6) showed large empty spaces (vacuoles) in the cell body. The neighboring neuron [identified in (a) as #9] is a healthy pyramidal cell without large somatic vacuoles. (g) Maximum intensity z-projection image of a different human neocortical pyramidal cell, red channel data. (h) Enlarged view of the dendritic segment shown in the white box in (d). Blue line indicates free line scan. (i) Top, spatial average of dendritic Ca2+ response recorded along the blue line in (h). Middle, simultaneously recorded somatic membrane potential responses. Bottom, enlarged view of AP bursts. The amplitude of the dendritic Ca2+ signal correlated well with the number of somatic APs. Note that the rising and decay phase of the pyramidal cell dendritic Ca2+ signal is steeper than that of the interneuron shown in Fig. 2.

Measurement of input-output functions of cortical pyramidal cells and interneurons is important to understand dendritic integration and neuronal computation.12,13,2730 As human neurons have more complex dendritic branching compared to animals (see the dendritic length of our reconstructed pyramidal cell and 31), we expect a more complex human dendritic arithmetic. Two-photon uncaging is widely used to investigate the neuronal input–output functions and postsynaptic signal integration. Similar to experiments performed in rodents,12,13 we were able to induce large postsynaptic membrane potential and dendritic Ca2+ responses with spatially and temporally clustered input patterns which activated short dendritic segments [Figs. 2(d) and 2(e)].

Anatomy

Intracellularly recorded cells were filled with biocytin (n=6) and were processed for anatomy. The successfully filled neurons showed the morphology of either pyramidal cells (n=2) or interneurons (n=2). The pyramidal cells displayed a long and thick apical dendrite and numerous thin basal dendrites (Fig. 3), while the interneurons appeared as small multipolar cells with shorter smooth dendrites (Fig. 2). The whole dendritic and axonal arbor of one well-filled neocortical layer III pyramidal cell was chosen to be reconstructed in three dimensions [from Pt 7, Fig. 3(e)]. Out of the four filled cells, this was the only neuron having an apparently complete (and well filled) dendritic arbor, as well as filled axons. Two other cells were not completely filled, i.e., they possessed pale dendritic segments and had no filled axons. The cell body of one neuron was close to the surface of the slice (within 50μm) and part of its dendritic tree was cut during slice preparation.

The apical dendrite of the reconstructed cell was 4310-μm long, the sum of the length of its basal dendrites was 13,478μm, and the length of all the axonal segments was 3875-μm. It far exceeds the dendritic length of pyramidal cells in monkey temporal cortex, even though they were labeled in vivo.32 Pyramidal cells of the rodent neocortex also possess considerably shorter dendritic lengths.3336

Electron Microscopy

We examined the filled and reconstructed pyramidal cell at the electron microscopic level. Large vacuoles were found in the cell body and the dendrites of the cell [Fig. 3(f)], while outside these areas mitochondria and other organelles such as endoplasmic reticulum seemed to be intact. We found numerous axon terminals forming either asymmetrical (presumably excitatory) or symmetrical (presumably inhibitory) synapses on the dendrites of the filled cell. We could not find synapses innervating the cell body of this pyramidal cell, but we observed several symmetrical synapses terminating on its axon initial segment. The axon terminals of the filled cell formed asymmetrical synapses with nonstained dendrites and spines.

We hypothesized that the presence of vacuoles is the result of our methodological procedure. First, applying OGB-AM and SR-101 for bolus loading may change the structure of the neurons. Second, the long time (several hours) spent in the recording chamber might also affect the survival of the cells. And third, the patch-clamp procedure (mechanical damage caused by the pipette, as well as the intracellular use of a high concentration of the fluorophores Alexa594 and OGB-1) might also trigger changes in cellular ultrastructure. To test these hypotheses, we made further electron microscopic examinations. First, we examined 62 nonfilled cells (45 neurons and 17 glial cells) in the vicinity of the biocytin-filled cell. Based on the low-magnification frame scan taken during the two-photon experiment, these cells were located within the region of bolus loading. We could not see large vacuoles in any of the bolus loaded cells. Next, we checked 61 cells (43 neurons and 18 glial cells) in the same slice in a region, where bolus loading was not performed. Both blocks were re-embedded from neocortical layer 3 of the same slice, with a distance of 5mm between them. None of the nonloaded cells displayed similar vacuoles in their somata. We made further experiments to test the hypothesis that several hours of in vitro conditions might induce the formation of somatic vacuoles. We re-embedded one block from Pt 4 from a slice which spent 6 h in the recording chamber and another block from the same tissue sample (from the same part of the gyrus) which was fixed immediately after the cutting procedure. We examined 35 neurons and 22 glial cells from the recorded tissue slice and 43 neurons and 25 glial cells from the immediately fixed tissue sample. Large vacuoles were not observed in these cells. In summary, large vacuoles were seen only in the intracellularly recorded and filled cell, pointing toward the hypothesis that our combined patch-clamp recording and two-photon Ca2+ imaging induced the formation of the somatic vacuoles.

Two-photon Ca2+ imaging is widely used to reveal subthreshold and suprathreshold neuronal activity in rodent neocortical and hippocampal slice preparations.5 Somatic, dendritic, and axonal Ca2+ signals were also correlated with somatic electrophysiological and LFP recordings in these animal models,11,37 but very little is known about the intracellular Ca2+ signaling of single human neurons and neuronal populations. The aim of the present technical report is to demonstrate that these fundamental measurements can be achieved in human neurons following similar methodological procedures to those used in animals. Furthermore, we wished to show that combining different electrophysiological and optical methods in human neocortical slice preparations can give valuable information about the cellular and network properties of cortical synchronization processes.

Recording in human brain tissue is very valuable in order to gain information about the characteristics of human neurons and relate it to animal models. The present study is the first to show that the Ca2+ dynamics of human neurons are comparable to those found in animals. We demonstrate that the use of appropriate methodological procedures provides high quality data about the somatic and dendritic Ca2+ signals of individual neurons and populations of human neocortical cells. During our experiments, we noticed the high variability of tissue quality, even though we followed our standardized protocol. Several reasons might account for this phenomenon, which is not usually reported in studies using animals. The age of the patients varied from young adults to elderly (19 to 78 years), while research groups working on animal models usually use young animals of the same age group. Furthermore, we cannot exclude the possibility that differences in the pathology and in surgery conditions of our patients might also account for the considerable variance of tissue quality. We concluded that valuable electrophysiological, two-photon Ca2+ imaging, and anatomical results could be obtained if the tissue quality was acceptable. Here, we have adopted and used an improved version of a dual superfusion chamber,10,11 which provided excellent tissue oxygenation to maintain network activity and allowed simultaneous imaging and two-photon uncaging experiments during population activity. The high signal-to-noise ratio obtained in our measurements has not only been enhanced by the high numerical aperture of the water-immersion objectives, but also by the use of our multiple line scanning method.

The techniques used in our study are complementary in several ways: two-photon Ca2+ imaging records the activity of large populations of neighboring neurons although at a low temporal scale, whereas multiple channel electrophysiology records the activity of a few cells distributed along the entire width of the cortex and at a high temporal scale. This allows us to examine larger and more complex neuronal populations than any of the mentioned techniques alone. One of the main advantages of our combined method is that it allows simultaneous optical and electrophysiological examination of human neurons and neuronal assemblies with high spatial and temporal resolutions. Subsequent anatomy is a useful tool to reveal differences in the fine structure of the human cortex related to the pathology of the patient, or to the capability of SPA generation. Anatomical examination of intracellularly filled human neurons could reveal possible differences between cells participating versus not participating in the generation of SPA, and between cells located in regions where SPA is present versus regions outside of SPA, as well as between cells derived from epileptic versus tumor patients.

Our study reported a technical difficulty associated with the Ca2+ imaging of living cells. Although our intracellularly labeled cells looked healthy in the light microscope (Fig. 3), we observed large autophagic vacuoles in the somatodendritic compartment of the examined neurons at the electron microscopic level (see also supplementary material of 38). The intracellular recording technique per se was not related to the presence of vacuoles, whether it was performed with sharp electrodes (e.g., see Refs. 39 and 40) or by the patch-clamp technique (for example see Refs. 41 and 42). Our electron microscopic studies also suggest that this phenomenon is attributed to photodamage. Oxygen radicals generated during illumination and photobleaching of intracellular fluorophores43,44 induce ultrastructural changes in the cell, such as inactivation of proteins43,45,46 and formation of autophagic vacuoles.47 This phenomenon is exploited in a developing powerful technique called chromophore-assisted laser inactivation, which is used as a potent cell biology technique and as a therapeutic tool in cancer research (for review see 46). At the same time, Ca2+ imaging caused photodamage has never been directly addressed in neuronal tissue. We tried to minimize photodamage by using line scans and by keeping the laser intensity at the minimum required to attain a sufficient signal-to-noise ratio. We could not see changes in the physiology of the neurons during recordings or signs of cell degeneration at the light microscope, but photodamage became evident when examined with electron microscopy. We hypothesize that the presence of autophagic vacuoles was in correlation with the use of high concentrations of intracellular fluorophores and laser illumination. High spatial resolution fluorescent image stacks were taken from the intracellularly labeled cell at the end of the experiment, raising the additional possibility that—at least part of—the vacuoles might have been formed after the electrophysiological and optical recordings. The physiological and pathological roles of autophagy have been widely studied,48 but no data are available about the effects of autophagic vacuoles on neuronal electrophysiology and survival. In summary, our results suggest that photodamage induced autophagic vacuoles do not considerably alter neuronal electrophysiology over a short term. Future detailed studies are needed to reveal the long-term effects of autophagy on cellular and network activity in the neocortex.

We performed simultaneous correlated somatic whole-cell, LFP and intracellular Ca2+ measurements during conditions when the network of human neurons showed synchronous discharges. Electrophysiological recordings of synchronous population events in the human neocortex were already performed in vitro describing the responses of single neurons.2 Our multimodal approach allows us to record the simultaneous activity of large neuronal populations together with the intracellular response of selected single neurons. In addition, Ca2+ imaging of neuronal populations revealed the relatively high percentage of silent cells (35% of the cells in epileptic and 67% in tumor tissue) which were unnoticeable in electrophysiological recordings. We demonstrated that higher proportions of neurons participate in the generation of SPA in slices from epileptic (65% of the cells) than from tumor (32% of the cells) patients (Table 1). The ratio of cells responding to >20% of the SPA events is also higher in epileptic tissue (29% versus 19% in epileptic versus tumor tissue), even if the proportion of reliably responding cells was lower in epileptic tissue. This suggests that, in the human epileptic neocortex, more neurons are contributing to network synchrony, although with a lower precision. This network phenomenon is similar to the cellular properties observed in epileptic rats,49 where an enhanced synaptic activity and a lower spike-timing reliability have been shown to induce synchronies related to epilepsy (fast ripples).

The epilepsies are a serious health problem affecting a large percentage of human populations during their lifetime. Our multimodal and multiscale approach could help to clarify the abnormalities in cellular and network properties that underlie this pathology, providing both a better understanding of the disease and, eventually, contributing to better therapeutic approaches to the treatment of neocortical epilepsies. Future therapeutic strategies that consider data from human neural tissue will better facilitate the development of new, more efficient drugs or other treatments that prevent epileptic seizures and/or alleviate epilepsy caused damage. The detailed analysis of human epileptic tissue is required to promote pharmaceutical research, but is also crucial for the development of new, more realistic animal models. Animal models are necessary to better understand the mechanisms, causes, and consequences of epilepsy. However, results derived from animal models must be compared to and contrasted with human data if they are to provide valuable information about human disease.

Hungarian-French Grant TÉT_10-1-2011-0389, GOP-1.1.1-08/1-2008-0085, Swiss-Hungarian Grant SH/7/2/8, KTIA (KMR_12-1-2012-0214), Hungarian Grant OTKA PD91151, Bolyai Research Fellowship (to L.W.), KTIA_NAP_13 and TÁMOP 4.2.1.B11/2/KMR2011-0002. TÁMOP 4.2.4.A/1-11-1-2012-0001 Nemzeti Kiválóság Program, FP7-ICT-2011-C 323945 (3x3D imaging). B.R. is founder of Femtonics Ltd. (Budapest, Hungary) and is a member of its scientific board.

Morrell  M. J., “Epilepsy: diagnosis and treatment in the 21st century,” CNS Spectr.. 6, (9 ), 749  (2001). 0030-6045 
Kohling  R. et al., “Spontaneous sharp waves in human neocortical slices excised from epileptic patients,” Brain. 121, (6 ), 1073 –1087 (1998). 0006-8950 CrossRef
Schwartzkroin  P. A., Knowles  W. D., “Intracellular study of human epileptic cortex: in vitro maintenance of epileptiform activity?,” Science. 223, (4637 ), 709 –712 (1984). 0036-8075 CrossRef
Roopun  A. K. et al., “A nonsynaptic mechanism underlying interictal discharges in human epileptic neocortex,” Proc. Natl. Acad. Sci. U. S. A.. 107, (1 ), 338 –343 (2010). 0027-8424 CrossRef
Grienberger  C., Konnerth  A., “Imaging calcium in neurons,” Neuron. 73, (5 ), 862 –885 (2012). 0896-6273 CrossRef
Belinsky  G. S. et al., “Patch-clamp recordings and calcium imaging followed by single-cell PCR reveal the developmental profile of 13 genes in iPSC-derived human neurons,” Stem Cell Res.. 12, (1 ), 101 –118 (2014). 1873-5061 CrossRef
Boesmans  W. et al., “Imaging neuron-glia interactions in the enteric nervous system,” Front. Cell. Neurosci.. 7, , 183  (2013). 1662-5102 CrossRef
Navarrete  M. et al., “Astrocyte calcium signal and gliotransmission in human brain tissue,” Cereb. Cortex. 23, (5 ), 1240 –1246 (2013). 1047-3211 CrossRef
Katona  G. et al., “Fast two-photon in vivo imaging with three-dimensional random-access scanning in large tissue volumes,” Nat. Methods. 9, (2 ), 201 –208 (2012). 1548-7091 CrossRef
Hájos  N. et al., “Maintaining network activity in submerged hippocampal slices: importance of oxygen supply,” Eur. J. Neurosci.. 29, (2 ), 319 –327 (2009). 0953-816X CrossRef
Chiovini  B. et al., “Enhanced dendritic action potential backpropagation in parvalbumin-positive basket cells during sharp wave activity,” Neurochem. Res.. 35, (12 ), 2086 –2095 (2010). 0364-3190 CrossRef
Chiovini  B. et al., “Dendritic spikes induce ripples in parvalbumin interneurons during hippocampal sharp waves,” Neuron. 82, (4 ), 908 –924 (2014). 0896-6273 CrossRef
Katona  G. et al., “Roller coaster scanning reveals spontaneous triggering of dendritic spikes in CA1 interneurons,” Proc. Natl. Acad. Sci. U. S. A.. 108, (5 ), 2148 –2153 (2011). 0027-8424 CrossRef
Kerr  J. N., Greenberg  D., Helmchen  F., “Imaging input and output of neocortical networks in vivo,” Proc. Natl. Acad. Sci. U. S. A.. 102, (39 ), 14063 –14068 (2005). 0027-8424 CrossRef
Nimmerjahn  A. et al., “Sulforhodamine 101 as a specific marker of astroglia in the neocortex in vivo,” Nat. Methods. 1, (1 ), 31 –37 (2004). 1548-7091 CrossRef
Fabó  D. et al., “Properties of in vivo interictal spike generation in the human subiculum,” Brain. 131, (2 ), 485 –499 (2008). 0006-8950 CrossRef
Ulbert  I. et al., “Multiple microelectrode-recording system for human intracortical applications,” J. Neurosci. Methods. 106, (1 ), 69 –79 (2001). 0165-0270 CrossRef
Ulbert  I. et al., “In vivo laminar electrophysiology co-registered with histology in the hippocampus of patients with temporal lobe epilepsy,” Exp. Neurol.. 187, (2 ), 310 –318 (2004). 0014-4886 CrossRef
Wittner  L. et al., “The epileptic human hippocampal cornu ammonis 2 region generates spontaneous interictal-like activity in vitro,” Brain. 132, (11 ), 3032 –3046 (2009). 0006-8950 CrossRef
Rózsa  B. et al., “Distance-dependent scaling of calcium transients evoked by backpropagating spikes and synaptic activity in dendrites of hippocampal interneurons,” J. Neurosci.. 24, (3 ), 661 –670 (2004). 0270-6474 CrossRef
Lőrincz  A. et al., “Differential distribution of NCX1 contributes to spine–dendrite compartmentalization in CA1 pyramidal cells,” Proc. Natl. Acad. Sci. U. S. A.. 104, (3 ), 1033 –1038 (2007). 0027-8424 CrossRef
Wittner  L. et al., “Three-dimensional reconstruction of the axon arbor of a CA3 pyramidal cell recorded and filled in vivo,” Brain Struct. Funct.. 212, (1 ), 75 –83 (2007). 1863-2653 CrossRef
Rózsa  B. et al., “Random access three-dimensional two-photon microscopy,” Appl. Opt.. 46, (10 ), 1860 –1865 (2007). 0003-6935 CrossRef
Avoli  M. et al., “Cellular and molecular mechanisms of epilepsy in the human brain,” Prog. Neurobiol.. 77, (3 ), 166 –200 (2005). 0301-0082 CrossRef
Rochefort  N. L. et al., “Sparsification of neuronal activity in the visual cortex at eye-opening,” Proc. Natl. Acad. Sci. U. S. A.. 106, (35 ), 15049 –15054 (2009). 0027-8424 CrossRef
Lutcke  H. et al., “Optical recording of neuronal activity with a genetically-encoded calcium indicator in anesthetized and freely moving mice,” Front. Neural Circuits. 4, , 9  (2010). 1662-5110 CrossRef
Vervaeke  K. et al., “Gap junctions compensate for sublinear dendritic integration in an inhibitory network,” Science. 335, (6076 ), 1624 –1628 (2012). 0036-8075 CrossRef
Losonczy  A., Magee  J. C., “Integrative properties of radial oblique dendrites in hippocampal CA1 pyramidal neurons,” Neuron. 50, (2 ), 291 –307 (2006). 0896-6273 CrossRef
Larkum  M. E. et al., “Synaptic integration in tuft dendrites of layer 5 pyramidal neurons: a new unifying principle,” Science. 325, (5941 ), 756 –760 (2009). 0036-8075 CrossRef
Abrahamsson  T. et al., “Thin dendrites of cerebellar interneurons confer sublinear synaptic integration and a gradient of short-term plasticity,” Neuron. 73, (6 ), 1159 –1172 (2012). 0896-6273 CrossRef
Elston  G. N. et al., “Specializations of the granular prefrontal cortex of primates: implications for cognitive processing,” Anat. Rec. Part A. 288, (1 ), 26 –35 (2006). 1552-4884 CrossRef
Duan  H. et al., “Quantitative analysis of the dendritic morphology of corticocortical projection neurons in the macaque monkey association cortex,” Neuroscience. 114, (2 ), 349 –359 (2002). 0306-4522 CrossRef
Marx  M., Feldmeyer  D., “Morphology and physiology of excitatory neurons in layer 6b of the somatosensory rat barrel cortex,” Cereb. Cortex. 23, (12 ), 2803 –2817 (2013). 1047-3211 CrossRef
Wong  T. P. et al., “Loss of presynaptic and postsynaptic structures is accompanied by compensatory increase in action potential-dependent synaptic input to layer V neocortical pyramidal neurons in aged rats,” J. Neurosci.. 20, (22 ), 8596 –8606 (2000). 0270-6474 
Ascoli  G. A., Donohue  D. E., Halavi  M., “NeuroMorpho.Org: a central resource for neuronal morphologies,” J. Neurosci.. 27, (35 ), 9247 –9251 (2007).
van Aerde  K. I., Feldmeyer  D., “Morphological and physiological characterization of pyramidal neuron subtypes in rat medial prefrontal cortex,” Cereb. Cortex. (2013). 1047-3211 CrossRef
Koester  H. J., Sakmann  B., “Calcium dynamics associated with action potentials in single nerve terminals of pyramidal cells in layer 2/3 of the young rat neocortex,” J. Physiol.. 529, (3 ), 625 –646 (2000). 0022-3751 CrossRef
Holderith  N. et al., “Release probability of hippocampal glutamatergic terminals scales with the size of the active zone,” Nat. Neurosci.. 15, (7 ), 988 –997 (2012). 1097-6256 CrossRef
Tamás  G., Buhl  E. H., Somogyi  P., “Massive autaptic self-innervation of GABAergic neurons in cat visual cortex,” J. Neurosci.. 17, (16 ), 6352 –6364 (1997). 0270-6474 
Miles  R. et al., “Differences between somatic and dendritic inhibition in the hippocampus,” Neuron. 16, (4 ), 815 –823 (1996). 0896-6273 CrossRef
Bíró  A. A., Holderith  N. B., Nusser  Z., “Release probability-dependent scaling of the postsynaptic responses at single hippocampal GABAergic synapses,” J. Neurosci.. 26, (48 ), 12487 –12496 (2006). 0270-6474 CrossRef
Gulyás  A. I. et al., “Parvalbumin-containing fast-spiking basket cells generate the field potential oscillations induced by cholinergic receptor activation in the hippocampus,” J. Neurosci.. 30, (45 ), 15134 –15145 (2010). 0270-6474 CrossRef
Jay  D. G., “Selective destruction of protein function by chromophore-assisted laser inactivation,” Proc. Natl. Acad. Sci. U. S. A.. 85, (15 ), 5454 –5458 (1988). 0027-8424 CrossRef
Grabenbauer  M. et al., “Correlative microscopy and electron tomography of GFP through photooxidation,” Nat. Methods. 2, (11 ), 857 –862 (2005). 1548-7091 CrossRef
Wang  F. S., Jay  D. G., “Chromophore-assisted laser inactivation (CALI): probing protein function in situ with a high degree of spatial and temporal resolution,” Trends Cell Biol.. 6, (11 ), 442 –445 (1996). 0962-8924 CrossRef
Jacobson  K. et al., “Chromophore-assisted laser inactivation in cell biology,” Trends Cell Biol.. 18, (9 ), 443 –450 (2008). 0962-8924 CrossRef
Reiners  J. J.  Jr. et al., “Assessing autophagy in the context of photodynamic therapy,” Autophagy. 6, (1 ), 7 –18 (2010). 1554-8627 CrossRef
Marino  G., Lopez-Otin  C., “Autophagy: molecular mechanisms, physiological functions and relevance in human pathology,” Cell. Mol. Life Sci.. 61, (12 ), 1439 –1454 (2004). 1420-9071 CrossRef
Foffani  G. et al., “Reduced spike-timing reliability correlates with the emergence of fast ripples in the rat epileptic hippocampus,” Neuron. 55, (6 ), 930 –941 (2007). 0896-6273 CrossRef

Biographies of the authors are not available.

© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Citation

Bálint Péter Kerekes ; Kinga Tóth ; Attila Kaszás ; Balázs Chiovini ; Zoltán Szadai, et al.
"Combined two-photon imaging, electrophysiological, and anatomical investigation of the human neocortex in vitro", Neurophoton. 1(1), 011013 (Sep 11, 2014). ; http://dx.doi.org/10.1117/1.NPh.1.1.011013


Figures

Graphic Jump LocationF1 :

Combined two-photon and electrophysiological recording of human neocortical neuronal populations. (a) Schematic drawing of the experimental design. Laminar recordings revealed the location of synchronous population activity (SPA) in human neocortical slices (brain slice). Simultaneous two-photon Ca2+ imaging, extracellular and intracellular recordings were made. Subsequently, intracellularly filled cells were anatomically analyzed using light- and electron microscopy, as well as reconstructed in three dimensions. (b) Laminar recordings were made in the human neocortex in vitro. The 24-channel linear multielectrode array was placed perpendicularly to the pial surface and covered the whole width of the neocortex, permitting recordings from each layer. LFPg recordings from 8 channels are shown in this figure. SPA (marked with black triangles) emerged in layers I-III in the neocortex of patient 1. (c) Two-photon image of a human neuronal population loaded with OGB-1-AM Ca2+ dye for population imaging. A pyramidal neuron was patch-clamped and filled with cell impermeable OGB-1 (60μM) and Alexa594 (100μM) through the recording pipette. The cell was recorded with a loose patch technique (see also d and e). Neuronal somata were scanned with constant speed along the white and colored lines while intermediate sections were jumped over within 100μs using a spline interpolated path (multiple line scanning method). Red and green photomultiplier (PMT) channel data are overlaid. (d) Simultaneous LFP, Ca2+ signal (Ca2+), and loose patch-clamp recording during three successive spontaneous SPA events (black triangles). Ca2+ transients show the responses of eight neurons from the 18 recorded as shown in (c). Different colors of the Ca2+ signals represent different cells (middle traces). Note that three cells were responding to SPAs, but the other cells did not show increased Ca2+ levels. The intracellularly recorded cell (IC) shown in (c) was burst firing during SPA (bottom), which is also reflected in a simultaneous increase in the intracellular Ca2+ level (green line). Note the trial-to-trial variability in relative Ca2+ responses between neurons. (e) LFP signal of a spontaneous SPA event (black triangle) on an enlarged view with the corresponding Ca2+ responses (middle) recorded from the neuronal population shown in (c). Bottom, simultaneously recorded loose-patch signal (IC) from the neuron in (c). Note the large Ca2+ signal during the somatic AP burst associated to the SPA event (green line in the middle).

Graphic Jump LocationF2 :

Two-photon measurements of human interneurons. (a) Top, maximum intensity z-projection image of a human aspiny neocortical interneuron with a dendritic segment selected for free line scanning (white dashed line). Only the red PMT channel data are shown. Bottom, Ca2+ response measured along the white dashed line plotted as a function of distance along the dendrite and time. Responses were spatially normalized to the background fluorescence level. (b) Top, spatial integral of the dendritic Ca2+ response shown in (a). Bottom, simultaneously recorded somatic membrane potential. Dashed gray lines mark the initiation and termination of short temporal intervals with high AP number and dotted lines mark single APs. Note the synchronous increase in average dendritic Ca2+ response during the periods with multiple APs. (c) Light microscopy image of the interneuron shown in (a). The cell was filled with biocytin and was processed for anatomy following the two-photon experiment. (d) Top, maximum intensity z-projection image of a different human neocortical interneuron. Only the red channel data are shown. Middle, dendritic segment with the uncaging locations (white spots). Blue line indicates the scanning path of free line scanning. Bottom, Ca2+ response, recorded along the blue line in the middle, was normalized to the background fluorescence level and plotted as a function of dendritic distance and time. Ca2+ response was evoked by two-photon glutamate uncaging in the white points. Uncaging time is indicated by black arrowhead. (e) Top, spatial average of five Ca2+ responses detected in the dendritic segment shown in (d). Bottom, simultaneously recorded somatic membrane potential. Note that both the uncaging evoked EPSP (black arrowhead) and the somatic current injection induced AP were associated with an increase in dendritic Ca2+ level, but uncaging evoked a much larger response.

Graphic Jump LocationF3 :

Two-photon measurements of human pyramidal cells. (a) Top, maximum intensity z-projection of a neuronal population from a human neocortical slice loaded with OGB-1-AM and SR-101. White lines and numbers indicate regions of interest selected for multiple line scanning, and cover nine neurons. Red and green PMT channel data are overlaid. Bottom, corresponding representative Ca2+ response recorded along the white lines in top panel is plotted as a function of distance along line and time after normalization for the background fluorescence intensity. Ca2+ signal of 9 cells out of the 13 recorded are indicated with numbers and brackets. (b) Top, spatial average of Ca2+ response for cell #6 shown in (a). Bottom, Ca2+ response for cell #6 as in (a), but data were recorded with a higher spatial discretization and were rotated by 90 deg before plotting. (c) Maximum intensity z-projection image of a population of human neurons loaded with OGB-1-AM dye. The neuron corresponding to region #6 [same as in (a) and (b)] was loaded through the recording pipette with the cell impermeable green Ca2+ dye, OGB-1, the red Alexa594 and biocytin before whole-cell recording. Red and green PMT channel data are overlaid. White lines and numbers indicate the same regions of interest as in (a). (d) Light micrograph of the cell #6 shown in (c), processed for anatomy. The axon initial segment is marked with arrow. (e) The dendritic (blue) and axonal (pink) arbor of the pyramidal cell #6 in (c) was reconstructed in three dimensions. (f) The electron microscopic investigation of the same cell (#6) showed large empty spaces (vacuoles) in the cell body. The neighboring neuron [identified in (a) as #9] is a healthy pyramidal cell without large somatic vacuoles. (g) Maximum intensity z-projection image of a different human neocortical pyramidal cell, red channel data. (h) Enlarged view of the dendritic segment shown in the white box in (d). Blue line indicates free line scan. (i) Top, spatial average of dendritic Ca2+ response recorded along the blue line in (h). Middle, simultaneously recorded somatic membrane potential responses. Bottom, enlarged view of AP bursts. The amplitude of the dendritic Ca2+ signal correlated well with the number of somatic APs. Note that the rising and decay phase of the pyramidal cell dendritic Ca2+ signal is steeper than that of the interneuron shown in Fig. 2.

Tables

Table Grahic Jump Location
Table 1Examination of cellular activity during synchronous population activity (SPA) with two-photon Ca2+ imaging in epileptic and nonepileptic tissue.

References

Morrell  M. J., “Epilepsy: diagnosis and treatment in the 21st century,” CNS Spectr.. 6, (9 ), 749  (2001). 0030-6045 
Kohling  R. et al., “Spontaneous sharp waves in human neocortical slices excised from epileptic patients,” Brain. 121, (6 ), 1073 –1087 (1998). 0006-8950 CrossRef
Schwartzkroin  P. A., Knowles  W. D., “Intracellular study of human epileptic cortex: in vitro maintenance of epileptiform activity?,” Science. 223, (4637 ), 709 –712 (1984). 0036-8075 CrossRef
Roopun  A. K. et al., “A nonsynaptic mechanism underlying interictal discharges in human epileptic neocortex,” Proc. Natl. Acad. Sci. U. S. A.. 107, (1 ), 338 –343 (2010). 0027-8424 CrossRef
Grienberger  C., Konnerth  A., “Imaging calcium in neurons,” Neuron. 73, (5 ), 862 –885 (2012). 0896-6273 CrossRef
Belinsky  G. S. et al., “Patch-clamp recordings and calcium imaging followed by single-cell PCR reveal the developmental profile of 13 genes in iPSC-derived human neurons,” Stem Cell Res.. 12, (1 ), 101 –118 (2014). 1873-5061 CrossRef
Boesmans  W. et al., “Imaging neuron-glia interactions in the enteric nervous system,” Front. Cell. Neurosci.. 7, , 183  (2013). 1662-5102 CrossRef
Navarrete  M. et al., “Astrocyte calcium signal and gliotransmission in human brain tissue,” Cereb. Cortex. 23, (5 ), 1240 –1246 (2013). 1047-3211 CrossRef
Katona  G. et al., “Fast two-photon in vivo imaging with three-dimensional random-access scanning in large tissue volumes,” Nat. Methods. 9, (2 ), 201 –208 (2012). 1548-7091 CrossRef
Hájos  N. et al., “Maintaining network activity in submerged hippocampal slices: importance of oxygen supply,” Eur. J. Neurosci.. 29, (2 ), 319 –327 (2009). 0953-816X CrossRef
Chiovini  B. et al., “Enhanced dendritic action potential backpropagation in parvalbumin-positive basket cells during sharp wave activity,” Neurochem. Res.. 35, (12 ), 2086 –2095 (2010). 0364-3190 CrossRef
Chiovini  B. et al., “Dendritic spikes induce ripples in parvalbumin interneurons during hippocampal sharp waves,” Neuron. 82, (4 ), 908 –924 (2014). 0896-6273 CrossRef
Katona  G. et al., “Roller coaster scanning reveals spontaneous triggering of dendritic spikes in CA1 interneurons,” Proc. Natl. Acad. Sci. U. S. A.. 108, (5 ), 2148 –2153 (2011). 0027-8424 CrossRef
Kerr  J. N., Greenberg  D., Helmchen  F., “Imaging input and output of neocortical networks in vivo,” Proc. Natl. Acad. Sci. U. S. A.. 102, (39 ), 14063 –14068 (2005). 0027-8424 CrossRef
Nimmerjahn  A. et al., “Sulforhodamine 101 as a specific marker of astroglia in the neocortex in vivo,” Nat. Methods. 1, (1 ), 31 –37 (2004). 1548-7091 CrossRef
Fabó  D. et al., “Properties of in vivo interictal spike generation in the human subiculum,” Brain. 131, (2 ), 485 –499 (2008). 0006-8950 CrossRef
Ulbert  I. et al., “Multiple microelectrode-recording system for human intracortical applications,” J. Neurosci. Methods. 106, (1 ), 69 –79 (2001). 0165-0270 CrossRef
Ulbert  I. et al., “In vivo laminar electrophysiology co-registered with histology in the hippocampus of patients with temporal lobe epilepsy,” Exp. Neurol.. 187, (2 ), 310 –318 (2004). 0014-4886 CrossRef
Wittner  L. et al., “The epileptic human hippocampal cornu ammonis 2 region generates spontaneous interictal-like activity in vitro,” Brain. 132, (11 ), 3032 –3046 (2009). 0006-8950 CrossRef
Rózsa  B. et al., “Distance-dependent scaling of calcium transients evoked by backpropagating spikes and synaptic activity in dendrites of hippocampal interneurons,” J. Neurosci.. 24, (3 ), 661 –670 (2004). 0270-6474 CrossRef
Lőrincz  A. et al., “Differential distribution of NCX1 contributes to spine–dendrite compartmentalization in CA1 pyramidal cells,” Proc. Natl. Acad. Sci. U. S. A.. 104, (3 ), 1033 –1038 (2007). 0027-8424 CrossRef
Wittner  L. et al., “Three-dimensional reconstruction of the axon arbor of a CA3 pyramidal cell recorded and filled in vivo,” Brain Struct. Funct.. 212, (1 ), 75 –83 (2007). 1863-2653 CrossRef
Rózsa  B. et al., “Random access three-dimensional two-photon microscopy,” Appl. Opt.. 46, (10 ), 1860 –1865 (2007). 0003-6935 CrossRef
Avoli  M. et al., “Cellular and molecular mechanisms of epilepsy in the human brain,” Prog. Neurobiol.. 77, (3 ), 166 –200 (2005). 0301-0082 CrossRef
Rochefort  N. L. et al., “Sparsification of neuronal activity in the visual cortex at eye-opening,” Proc. Natl. Acad. Sci. U. S. A.. 106, (35 ), 15049 –15054 (2009). 0027-8424 CrossRef
Lutcke  H. et al., “Optical recording of neuronal activity with a genetically-encoded calcium indicator in anesthetized and freely moving mice,” Front. Neural Circuits. 4, , 9  (2010). 1662-5110 CrossRef
Vervaeke  K. et al., “Gap junctions compensate for sublinear dendritic integration in an inhibitory network,” Science. 335, (6076 ), 1624 –1628 (2012). 0036-8075 CrossRef
Losonczy  A., Magee  J. C., “Integrative properties of radial oblique dendrites in hippocampal CA1 pyramidal neurons,” Neuron. 50, (2 ), 291 –307 (2006). 0896-6273 CrossRef
Larkum  M. E. et al., “Synaptic integration in tuft dendrites of layer 5 pyramidal neurons: a new unifying principle,” Science. 325, (5941 ), 756 –760 (2009). 0036-8075 CrossRef
Abrahamsson  T. et al., “Thin dendrites of cerebellar interneurons confer sublinear synaptic integration and a gradient of short-term plasticity,” Neuron. 73, (6 ), 1159 –1172 (2012). 0896-6273 CrossRef
Elston  G. N. et al., “Specializations of the granular prefrontal cortex of primates: implications for cognitive processing,” Anat. Rec. Part A. 288, (1 ), 26 –35 (2006). 1552-4884 CrossRef
Duan  H. et al., “Quantitative analysis of the dendritic morphology of corticocortical projection neurons in the macaque monkey association cortex,” Neuroscience. 114, (2 ), 349 –359 (2002). 0306-4522 CrossRef
Marx  M., Feldmeyer  D., “Morphology and physiology of excitatory neurons in layer 6b of the somatosensory rat barrel cortex,” Cereb. Cortex. 23, (12 ), 2803 –2817 (2013). 1047-3211 CrossRef
Wong  T. P. et al., “Loss of presynaptic and postsynaptic structures is accompanied by compensatory increase in action potential-dependent synaptic input to layer V neocortical pyramidal neurons in aged rats,” J. Neurosci.. 20, (22 ), 8596 –8606 (2000). 0270-6474 
Ascoli  G. A., Donohue  D. E., Halavi  M., “NeuroMorpho.Org: a central resource for neuronal morphologies,” J. Neurosci.. 27, (35 ), 9247 –9251 (2007).
van Aerde  K. I., Feldmeyer  D., “Morphological and physiological characterization of pyramidal neuron subtypes in rat medial prefrontal cortex,” Cereb. Cortex. (2013). 1047-3211 CrossRef
Koester  H. J., Sakmann  B., “Calcium dynamics associated with action potentials in single nerve terminals of pyramidal cells in layer 2/3 of the young rat neocortex,” J. Physiol.. 529, (3 ), 625 –646 (2000). 0022-3751 CrossRef
Holderith  N. et al., “Release probability of hippocampal glutamatergic terminals scales with the size of the active zone,” Nat. Neurosci.. 15, (7 ), 988 –997 (2012). 1097-6256 CrossRef
Tamás  G., Buhl  E. H., Somogyi  P., “Massive autaptic self-innervation of GABAergic neurons in cat visual cortex,” J. Neurosci.. 17, (16 ), 6352 –6364 (1997). 0270-6474 
Miles  R. et al., “Differences between somatic and dendritic inhibition in the hippocampus,” Neuron. 16, (4 ), 815 –823 (1996). 0896-6273 CrossRef
Bíró  A. A., Holderith  N. B., Nusser  Z., “Release probability-dependent scaling of the postsynaptic responses at single hippocampal GABAergic synapses,” J. Neurosci.. 26, (48 ), 12487 –12496 (2006). 0270-6474 CrossRef
Gulyás  A. I. et al., “Parvalbumin-containing fast-spiking basket cells generate the field potential oscillations induced by cholinergic receptor activation in the hippocampus,” J. Neurosci.. 30, (45 ), 15134 –15145 (2010). 0270-6474 CrossRef
Jay  D. G., “Selective destruction of protein function by chromophore-assisted laser inactivation,” Proc. Natl. Acad. Sci. U. S. A.. 85, (15 ), 5454 –5458 (1988). 0027-8424 CrossRef
Grabenbauer  M. et al., “Correlative microscopy and electron tomography of GFP through photooxidation,” Nat. Methods. 2, (11 ), 857 –862 (2005). 1548-7091 CrossRef
Wang  F. S., Jay  D. G., “Chromophore-assisted laser inactivation (CALI): probing protein function in situ with a high degree of spatial and temporal resolution,” Trends Cell Biol.. 6, (11 ), 442 –445 (1996). 0962-8924 CrossRef
Jacobson  K. et al., “Chromophore-assisted laser inactivation in cell biology,” Trends Cell Biol.. 18, (9 ), 443 –450 (2008). 0962-8924 CrossRef
Reiners  J. J.  Jr. et al., “Assessing autophagy in the context of photodynamic therapy,” Autophagy. 6, (1 ), 7 –18 (2010). 1554-8627 CrossRef
Marino  G., Lopez-Otin  C., “Autophagy: molecular mechanisms, physiological functions and relevance in human pathology,” Cell. Mol. Life Sci.. 61, (12 ), 1439 –1454 (2004). 1420-9071 CrossRef
Foffani  G. et al., “Reduced spike-timing reliability correlates with the emergence of fast ripples in the rat epileptic hippocampus,” Neuron. 55, (6 ), 930 –941 (2007). 0896-6273 CrossRef

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.