Shi-2024-utility-10.1093/braincomms/fcae165
Year: 2026
Type: dataset
Abstract: A derivative BIDS-iEEG dataset of functional-connectivity networks computed from interictal intracranial EEG of 148 epilepsy patients at HUP and MUSC. Networks cover two re-referencing schemes (common average and bipolar) crossed with 24 connectivity measures, including correlation, coherence, phase-locking value and relative entropy across frequency bands. It accompanies a study of how re-referencing and connectivity choice affect the utility of iEEG networks. It contains no time series; raw recordings are hosted on iEEG.org.
Source: UC San Diego
Authors: Haoer Shi, Akash Pattnaik, Erin Conrad
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7221593875