Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_0012) - Open Research Data - MOST Wiedzy

Twoje konto

zaloguj

Wyszukiwarka

Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_0012)

Opis

Data comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four memory and cognitive tasks lasting approx. 1 hour. Gaze tracking on the task computer screen as well as pupilometry was also recorded together with behavioral performance. The recordings were collected from a minimum of one daily session (run) during a two-week long hospital stay for the seizure monitoring with at least one task from the battery completed. Each dataset comes from one patient and includes metadata about anatomical coordinates of every electrode contact, labels for each electrode contact channel, and timing of events in each task.  All data are stored in BIDS (Brain Imaging Data Structure) format for efficient signal processing supported by the International Neuroinformatics Coordinating Facility), and were collected at Mayo Clinic (USA) or at the Wroclaw Medical University (Poland). These unique datasets arerelevant for anyone interested in neurology, neuroscience and neurophysiology of human memory and cognition.

For more information visit the website of our Brain and Mind Electrophysiology laboratory (brainmindlab.com).
 
Ilustracja publikacji

Plik z danymi badawczymi

ieeg.zip
51.0 GB, S3 ETag 36980bfd8ce1ee1a59a68f731d9a3fa7-102, pobrań: 117
Hash pliku liczony jest ze wzoru
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

Przykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5
pobierz plik ieeg.zip

Informacje szczegółowe o pliku

Licencja:
Creative Commons: by 4.0 otwiera się w nowej karcie
CC BY
Uznanie autorstwa
Embargo na plik:
2021-08-11
Oprogramowanie:
pymef - Tools for navigating through the dataset. Installation: pip install pybids

Informacje szczegółowe

Rok publikacji:
2021
Data zatwierdzenia:
2021-05-19
Język danych badawczych:
angielski
Dyscypliny:
  • nauki medyczne (Dziedzina nauk medycznych i nauk o zdrowiu)
  • inżynieria biomedyczna (Dziedzina nauk inżynieryjno-technicznych)
DOI:
Identyfikator DOI 10.34808/1f05-ec69 otwiera się w nowej karcie
Finansowanie:
Ethical papers:
IRB 10390.007 (Mayo Clinic), KB 564/2019 (Medical University of Wroclaw)
Weryfikacja:
Politechnika Gdańska

Słowa kluczowe

Powiązane zasoby

Cytuj jako

Autorzy

wyświetlono 225 razy