Discover datasets

This dataset contains processed intracranial EEG (iEEG) recordings from frontal (LMFG, RMFG) and temporal (LMTG, RMTG) brain regions of 13 epilepsy patients performing a load-3 object working memory task. Data were collected to investigate neural mechanisms underlying working memory maintenance using intracranial electrophysiology. The dataset includes trial-level recordings after artifact rejection, along with behavioral performance data indicating task accuracy.

Participants

13

Citations

1

Size

286 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG (iEEG) recordings collected from patients undergoing clinical evaluation, used to investigate the spatial volatility of neural activity across brain regions. The data are shared to support research into cortical dynamics and epilepsy-related networks, and were collected under ethical approval from Wayne State University and Tohoku University institutional review boards.

Participants

166

Size

11.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 24 participants across two related studies (2019 and 2021) investigating phoneme discrimination during concurrent transcranial magnetic stimulation (TMS) of motor and speech-related cortical regions. Participants listened to speech sounds—including single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords)—and responded via button press, enabling exploration of articulation and coarticulation effects on neural speech decoding. The dataset supports research into cortical mechanisms underlying speech perception and motor cortex involvement in phoneme processing.

Participants

24

Channels

61 (10-10)

Citations

6

Size

83.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, and ground reaction force recordings collected from older adults walking over uneven terrain at varying speeds. Each participant completed multiple walking trials under different conditions as well as a seated rest trial, with digitized electrode locations provided. The dataset supports research into the neural and biomechanical mechanisms underlying balance and gait control during complex locomotion in aging populations.

Participants

71

Channels

120 (other)

Citations

1

Size

130 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings from 7 participants who underwent closed-loop stimulation targeting theta oscillations in hippocampal networks. The data support an investigation into how closed-loop control of theta rhythms modulates human hippocampal network connectivity, encompassing pre- and post-stimulation evoked potentials, resting-state periods, and stimulation epochs (closed-loop and control). Electrode locations are provided in MNI152 2009c asymmetrical template space.

Participants

7

Size

9.63 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous EEG, fMRI, and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention gradual-onset continuous performance task (gradCPT), along with resting-state, checkerboard, and imagery task data. The dataset supports multimodal investigation of sustained attention and its neural correlates using combined electrophysiological, hemodynamic, and structural connectivity measures.

Participants

28

Channels

63

Citations

1

Size

680 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset provides complementary EEG recordings, obtained under photic stimulation with eyes open, from a cohort of individuals with Alzheimer's disease, frontotemporal dementia, and healthy controls previously described in a related open-eyes-closed EEG dataset. Recordings were collected at incremental photic stimulation frequencies (5-30 Hz) at the 2nd Department of Neurology, AHEPA University Hospital, Thessaloniki, Greece, using a 19-channel clinical EEG system. The dataset includes both raw and preprocessed (denoised) EEG data, intended to support research on neurodegenerative disease biomarkers and cognitive decline.

Participants

88

Channels

19 (10-20)

Citations

37

Size

2.11 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises multi-subject, multi-modal neuroimaging recordings (structural MRI, MEG, and EEG) collected during a median nerve stimulation paradigm. Participants received electrical stimuli to the right wrist median nerve and responded by lifting their left index finger as quickly as possible. The dataset supports investigation of somatosensory and motor cortical responses using combined MEG/EEG/MRI methodology.

Participants

5

Size

3.07 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous EEG and fMRI recordings from 3 participants performing an inner speech task across 2 sessions each. Participants covertly produced 8 words presented in randomized order, each repeated 40 times, while EEG (64-channel, 5000 Hz) and fMRI (TR=2s) data were acquired concurrently. The dataset is intended to support research into the neural correlates of inner speech using multimodal neuroimaging.

Participants

3

Channels

64

Citations

1

Size

15.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 127 young adults (18-30 years) collected to investigate links between childhood and adulthood socioeconomic status (SES) and cognitive electrophysiology. EEG tasks were derived from the ERP CORE resource and adapted to capture neural activity related to perception, cognition, and action. The dataset also includes retrospective and current SES indicators, and an ADHD symptoms checklist, enabling investigation of relationships between socioeconomic diversity, ADHD symptoms, and neural activity.

Participants

127

Channels

27

Citations

10

Size

10.6 GB

Version

v1.0.0

Updated

Aug 19, 2026