Dataset of human medial temporal lobe neurons, scalp and intracranial EEG during a verbal working memory task.
Ece BoranTommaso FedeleAdrian SteinerPeter HilfikerLennart Henning StieglitzThomas GrunwaldJohannes SarntheinPublished in: Scientific data (2020)
We present an electrophysiological dataset recorded from nine subjects during a verbal working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for the localization of epileptic seizures. Subjects performed a modified Sternberg task in which the encoding of memory items, maintenance, and recall were temporally separated. The dataset includes simultaneously recorded scalp EEG with the 10-20 system, intracranial EEG (iEEG) recorded with depth electrodes, waveforms and spike times of neurons recorded in the medial temporal lobe, and localization information on the depth electrodes. Subject characteristics and information on each trial (set size, match/mismatch, correct/incorrect, response, and response time) are given. For technical validation of data, we provide spike sorting quality metrics and the spectra of iEEG and scalp EEG signals. This dataset enables the investigation of working memory by providing simultaneous scalp EEG and iEEG recordings, which can be used for connectivity analysis, along with hard-to-obtain neuronal recordings from humans.
Keyphrases
- working memory
- transcranial direct current stimulation
- attention deficit hyperactivity disorder
- patients undergoing
- resting state
- spinal cord
- endothelial cells
- functional connectivity
- optical coherence tomography
- randomized controlled trial
- optic nerve
- multiple sclerosis
- social media
- brain injury
- quality improvement
- gold nanoparticles
- machine learning
- electronic health record
- spinal cord injury
- big data