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opencc-by-4.0Jun 2024View details →

Nonhuman Primate Center-Out and Random-Walk Reaching with Multichannel Motor Cortex Electrophysiology

General Description A rhesus macaque was implanted with a 96-channel microelectrode array (Blackrock Neurotech, Inc.) in the arm area of primary motor cortex (M1). The monkey performed each reaching task with the arm contralateral to the array. We collected broadband data from each electrode at 30 kHz using a 128-channel acquisition system (Cerebus, Blackrock Neurotech, Inc.). To extract spikes, we high pass filtered the broadband data (1st order causal filter, 300 Hz cutoff) and thresholded it using a threshold manually set for each channel (average threshold = 5.2 standard deviations above mean waveform potential). To extract LFPs, we first bandpass filtered the broadband data from 0.3-500 Hz (1st order causal filter), then resampled the signal at 2 kHz, and finally notch filtered it at harmonics of 60 Hz for powerline noise removal.  The first task we analyzed was an eight-target center-out reaching task. On each trial, the monkey began by holding at the center of a 10 cm-radius circle of targets for 0.5-0.6 s. Then, one of eight 2 cm square targets spaced at 45° intervals around the circle was illuminated. The monkey had to reach the outer target within 1.5 s and hold for a random time between 0.2-0.4s to obtain a liquid reward. The second task was a random target reaching task. On each trial, the monkey had to acquire a series of 6 randomly positioned targets appearing one-at-a-time, holding each for 0.1 s, to obtain the reward. The targets spanned the majority of the 20-by-20 pixel workspace.  Possible Uses These data may be used for testing new BCI decoders or otherwise investigating the motor cortical electrophysiological signals (spikes, local field potentials) during reaching. Variable Names Inside each .mat file is a structure, traditionally called ‘bdf’, or in some cases, ‘out_struct’.  We delineate important fields below:  <ul> <li> bdf.units contains spike timestamps  </li> <ul> <li> bdf.units.id is a two-element vector [channel, unit] </li> <li> bdf.units.ts is an array of spike timestamps for each unit  </li> <li> A note on resorting:  The bdf.units structure has elements for every sorted unit, plus one element per channel for the unsorted waveforms. In the above example, that amounts to 198 elements. Generally, all these elements will have a unit ID array and some timestamps. However, the waveform data for all recorded spike waveforms in a channel will be found in only one element for that channel (the 255 unit).  To illustrate, here is the bdf.units information about channel 16 in the file used to make the above structure map. </li> </ul> </ul> <div> <table> <tbody> <tr> <td> id  </td> <td> ts  </td> <td> tsAll  </td> <td> wv  </td> </tr> <tr> <td> [16,0]  </td> <td> 38x1 double  </td> <td> []  </td> <td> []  </td> </tr> <tr> <td> [16,1]  </td> <td> 3438x1 double  </td> <td> []  </td> <td> []  </td> </tr> <tr> <td> [16,255]  </td> <td> 4199x1 double  </td> <td> 7675x1 double  </td> <td> 48x7675 double  </td> </tr> </tbody> </table> </div> <ul> <li> There are two sorted units 0 and 1, and a 255 element for unsorted waveforms.  Notes:  </li> <ul> <li> tsAll and wv are only filled out for unit 255 of channel 16.   </li> <li> The tsAll field, as its name implies, contains all timestamps recorded on that channel, including those for units 0 and 1, and the unsorted waveforms. A sanity check is that 38+3438+4199 = 7675. </li> <li> The wv field contains the waveforms corresponding to tsAll. Here, there are 48 points per waveform. </li> <li> In general, tsAll will accompany the highest numbered unit. </li> </ul> </ul> <ul> <li> bdf.analog.data contains the local field potential (LFP) data </li> <li> bdf.analog.ts contains the timestamps for the LFP data as well as the kinematic data  </li> <li> bdf.pos contains manipulandum position  </li> <li> bdf.vel contains manipulandum velocity  </li> <li> bdf.acc contains manipulandum acceleration </li> <li> bdf.words contains information about how the run occurred, such as times of trial onset, whether the trial was a success or failure, etc  </li> <ul> <li> For center-out data  </li> <ul> <li> The bdf.words field can be processed by running the function: tt = co_trial_table(bdf);  </li> <li> The numeric array tt will then have Nx10 columns, where each row is a trial and each column gives the following information (this is replicated in the documentation of the function file):  </li> <ul> <li> 1: Start time  </li> <li> 2: Bump direction      -- -1 for none  </li> <li> 3: Bump phase           -- H (hold), D (delay), or M (movement)  </li> <li> 4: Bump time  </li> <li> 5: Target                      -- -1 for none (e.g., a neutral bump)  </li> <li> 6: OT on time  </li> <li> 7: Go cue  </li> <li> 8: Movement start time  </li> <li> 9: Trial End time  </li> <li> 10: Trial result             -- R (reward), A (aborted), I (incomplete), or N (no-result)  </li> </ul> </ul> <li> For random-walk data  </li> <ul> <li> In RW hand-control data, 1 trial consisted of N distinct movements, where N was usually 6 or 8.  In other words, N targets were presented successively, and all required to be hit, prior to delivery of a reward.  For each target presentation, there is a time-stamp in the field bdf.words.  There is also a time-stamp for the event of the cursor first entering the target.  This information is presented in two columns, where the first column is the timestamp and the second column is an event code, which indicates: </li> <ul> <li> 18: trial-start event flag  </li> <li> 49: target presentation  </li> <li> 160: cursor enters target  </li> <li> 32: success  </li> <li> 33/35: failure </li> </ul> </ul> </ul> </ul>

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Medium spiny neuron electrophysiological properties across male rats and female rats in different estrous cycle phases in the nucleus accumbens core: Excitatory synaptic input, action potential, and intrinsic properties

This dataset presents electrophysiological properties from whole-cell patch clamped nucleus accumbens core medium spiny neurons from male rats and female rats recorded in different estrous cycle phases. Excitatory synaptic input, action potential, and intrinsic properties are presented in an analyzed format, as well as the original electrophysiological recordings of each neuron. These data were originally presented across two different papers (Proaño et al., 2018, 2020) and further analyzed in an additional paper (Long et al., 2024), all of which are cited below. These data were key for establishing that nucleus accumbens neuron electrical function changed across the estrous cycle in response to its associated hormones, programming a phase-dependent sex difference in adulthood. This finding provided a new framework for understanding how biological sex and hormone cyclicity regulate the neurons implicated in motivated behaviors and related functions and disorders.

opencc-zeroJun 2024View details →

opencc-by-4.0Jun 2024View details →

Electrophysiology 3D tissues

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2018View details →

Dataset from "Cueing distraction: Electrophysiological evidence for anticipatory active suppression of distractor location"

Dataset from the following publication: Heuer, A., & Schubö, A. (2019). Cueing distraction: Electrophysiological evidence for anticipatory active suppression of distractor location. Psychological Research. doi: 10.1007/s00426-019-01211-4.

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Data from: Electrophysiological correlates of semantic dissimilarity reflect the comprehension of natural, narrative speech

People routinely hear and understand speech at rates of 120–200 words per minute [1, 2]. Thus, speech comprehension must involve rapid, online neural mechanisms that process words' meanings in an approximately time-locked fashion. However, in the context of continuous speech, electrophysiological evidence for such time-locked processing has been lacking. Whilst valuable insights into the semantic processing of speech have been provided by the "N400 component" of the event-related potential [3-6], this literature has been dominated by paradigms using incongruous words within specially constructed sentences, and may not accurately reflect natural, narrative speech comprehension. Building on the discovery that cortical activity "tracks" the dynamics of running speech [7-9], and psycholinguistic work both demonstrating [10-12] and modeling [13-15] how context rapidly impacts on word processing, we describe a new approach for deriving an electrophysiological correlate of natural speech comprehension. We used a computational model [16] to quantify the meaning carried by each word based on how semantically dissimilar it was to its preceding context and then regressed this quantity against electroencephalographic (EEG) data recorded from subjects as they listened to narrative speech. This produced a prominent negativity at a time-lag of 200–600 ms on centro-parietal EEG channels, characteristics common to the N400. Applying this approach to EEG datasets involving time-reversed speech, cocktail party attention and audiovisual speech-in-noise demonstrated that this response was very sensitive to whether or not subjects understood the speech they heard. These findings demonstrate that, when successfully comprehending natural speech, the human brain responds to the contextual semantic content of each word in a relatively time-locked fashion.

opencc-zeroDec 2017View details →

opencc-by-4.0Aug 2021View details →

data for "Electrophysiological evidence for higher-level chromatic mechanisms in humans"

Dataset for the paper "Electrophysiological evidence for higher-level chromatic mechanisms in humans" in Journal of Vision. Citation: Chen, J., & Gegenfurtner, K. R. (2021). Electrophysiological evidence for higher-level chromatic mechanisms in humans. Journal of Vision, 21(8):12, 1–14, https://doi.org/10.1167/jov.21.8.12.

opencc-by-sa-4.0Apr 2023View details →

High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors

Data to reproduce figures in submitted manuscript "High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors" https://www.biorxiv.org/content/10.1101/2022.11.18.516669v1

opencc-by-4.0Jun 2023View details →

Dataset for Dynamic expectations: Behavioral and electrophysiological evidence of sub-second updates in reward predictions

This is the dataset for the paper entitled "Dynamic expectations: Behavioral and electrophysiological evidence of sub-second updates in reward predictions" by Marciano et al.

Fig. 4 in An electrophysiological characterization of naturally occurring tobacco alkaloids and their action on human α4β2 and α7 nicotinic acetylcholine receptors

Fig. 4. Concentration–response curves were obtained by using the whole-cell mode of the patch-clamp technique at a holding potential of −70 mV from CHO cells stably expressing human α4β2 (continuous black lines) or human α7 (dotted grey lines) nAChRs. The lines represent the fits to the Hill equation for nicotine (1) (circles symbols), anabasine (12) (triangles symbols), nornicotine (7) (squared symbols), and S-anatabine (16) (diamonds symbols). The fit parameters are presented (Table 1). The averaged normalized current response is plotted as a function of the maximal current to ACh (ImaxACh). Two backgrounds highlight the concentration range of the tobacco alkaloids levels measured in human plasma (grey background with diagonal lines) and in human cerebrospinal fluid (grey background with horizontal lines). Data are presented as mean ± SD.

Fig. 3 in An electrophysiological characterization of naturally occurring tobacco alkaloids and their action on human α4β2 and α7 nicotinic acetylcholine receptors

Fig. 3. Sequential applications of brief ACh pulses are plotted as a function of time for three ACh concentrations. (a) EC20 = 0.4 μM (circles), EC50 = 1.2 μM (squares), EC90 = 11.1 μM (triangles) for human α4β2 receptors. (b) EC20 = 33.3 μM (circles), EC60 = 300 μM (squares), EC90 = 900 μM (triangles) for human α7 receptors. Experiments were performed by using the whole-cell mode of the patch-clamp technique at a holding potential of −70 mV in CHO cells stably expressing the human α4β2 and α7 nAChRs. EC, effective concentration. Data are presented as mean ± SD.

Fig. 2 in An electrophysiological characterization of naturally occurring tobacco alkaloids and their action on human α4β2 and α7 nicotinic acetylcholine receptors

Fig. 2. Representative traces of currents elicited by using the agonist mode (a and c) and PAM mode (b and d) in the whole-cell mode of the patch-clamp technique at a holding potential of −70 mV in CHO cells stably expressing human α4β2 (a and b) and human α7 (c and d) nAChRs. Agonist mode (a, c): 0.3% DMSO (left); 33.3 μM of the tobacco alkaloid anabasine (middle); 33.3 and 900 μM ACh for α4β2 and α7, respectively (right). PAM mode (b, d): 0.4 and 100 μM ACh for α4β2 and α7, respectively (left); co-application of 33.3 μM of the tobacco alkaloid trans-anatalline (middle); 0.4 or 100 μM ACh for α4β2 and α7, respectively (right). Thick dotted lines represent the pre-application period of the alkaloid (≥2 min). Thin dotted lines represent zero current.; PAM, positive allosteric modulator.

Fig. 1 in An electrophysiological characterization of naturally occurring tobacco alkaloids and their action on human α4β2 and α7 nicotinic acetylcholine receptors

Fig. 1. Representative traces of currents elicited in response to increasing concentrations of ACh. Currents were measured in agonist mode by using the whole-cell mode of the patch-clamp technique at a holding potential of −70 mV in CHO cells stably expressing human α4β2 (a) and human α7 (b) nAChRs. The half-maximal effective concentrations determined by using the Hill equation were 1.02 ± 1.0 μM (a) and 142 ± 16 μM (b) (n = 5–11 cells). Bars indicate (in μM): 0.1 (1), 0.4 (2), 1.2 (3), 3.7 (4), 11.1 (5), 33.3 (6), 100 (7), 300 (8), 900 (9), and 2700 (10). Dotted lines represent zero current.

opennotspecifiedSep 2021View details →

Fig. 3 in Electrophysiological responses of Philaenus spumarius and Neophilaenus campestris females to plant volatiles

Fig. 3. Results of dual choice Y-tube olfactometer bioassays performed with P. spumarius females to (1R)-(+)-camphor, sabinene, (S)-()-limonene, ()-α-pinene and (+)-α-pinene. N, number of replicates, NC number of individuals that didn't respond.

opennotspecifiedSep 2021View details →

Fig. 1 in Electrophysiological responses of Philaenus spumarius and Neophilaenus campestris females to plant volatiles

Fig. 1. Projection to Latent Structures Discriminant Analysis (PLS-DA) of volatile compounds identified in different plant species. The score plot visualizes the structure of the samples according to the first two PLS components, with explained variance in brackets.

opennotspecifiedSep 2021View details →

Fig. 2 in Electrophysiological responses of Philaenus spumarius and Neophilaenus campestris females to plant volatiles

Fig. 2. (a) Representative GC-EAD traces of female P. spumarius, to VOCs of C. creticus, n = 15. Electrophysiologically-active compounds are numbered: 1) β-pinene, 2) limonene, 3) cis-sabinene hydrate, 4) isoborneol, 5) δ-elemene, 6) β-selinene, top, GC trace (FID); bottom, antennal signal (EAD). (b) Total ion chromatogram of a C. creticus sample. The most abundant peaks have been annotated.

opencc-by-4.0Oct 2023View details →

Dataset for Article: Numerical investigation of a graphene-on-semiconductor device for optical monitoring of cell electrophysiology

Matlab scripts used in the preparation of data and figures for the publication "Numerical investigation of a graphene-on-semiconductor device for optical monitoring of cell electrophysiology" in iScience

closedIPD-NOFeb 2026View details →

Electrophysiology of Fetal Arrhythmia

ClinicalTrials.gov study NCT03047161. IPD Sharing: NO. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →

Expanding the Biomarkers in Familial Amyloid Neuropathy: MRI and Motor Unit Estimation by Electrophysiological Study

ClinicalTrials.gov study NCT03588468. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Clinical and Electrophysiological Predictors of Arrhythmic Recurrence in Patients With Paroxysmal AF Undergoing First Ablation Procedure of AF by Pulmonary Vein Isolation

ClinicalTrials.gov study NCT06085014. IPD Sharing: Not stated. Countries: 1. Publications: 7.