Logo image
Back
Intracranial Electrophysiology of the Human Default Network
Journal article   Open access   Peer reviewed

Intracranial Electrophysiology of the Human Default Network

Kieran C.R. Fox, Brett L. Foster, Aaron Kucyi, Amy L. Daitch and Josef Parvizi
Trends in cognitive sciences, v 22(4), pp 307-324
01 Apr 2018
DOI: https://doi.org/10.1016/j.tics.2018.02.002
PMID: 29525387
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1016/j.tics.2018.02.002View
Published, Version of Record (VoR) Open

Abstract

default network ECoG electrocorticography iEEG intracranial electroencephalography
The human default network (DN) plays a critical role in internally directed cognition, behavior, and neuropsychiatric disease. Despite much progress with functional neuroimaging, persistent questions still linger concerning the electrophysiological underpinnings, fast temporal dynamics, and causal importance of the DN. Here, we review how direct intracranial recording and stimulation of the DN provides a unique combination of high spatiotemporal resolution and causal information that speaks directly to many of these outstanding questions. Our synthesis highlights the electrophysiological basis of activation, suppression, and connectivity of the DN, each key areas of debate in the literature. Integrating these unique electrophysiological data with extant neuroimaging findings will help lay the foundation for a mechanistic account of DN function in human behavior and cognition. Understanding of the default network (DN) is rapidly progressing from a relatively coarse picture toward more detailed models, in which network nodes contain functionally heterogeneous neuronal populations with distinctive intra- and internetwork connectivity. Intracranial electroencephalography (iEEG) is providing unique data about the precise temporal profiles of neuronal populations throughout the DN, and their functional role(s) in the network’s deactivations, activations, intrinsic activity, and interactions with other brain networks. IEEG is also providing critical corroborative data elucidating the electrophysiological foundations of signals observed with neuroimaging. IEEG methods are being used not only to passively record but also to causally probe and perturb the DN’s functioning and interactions with other networks. Intracranial methods are being developed as electroceutical interventions for neuropsychiatric disorders implicating the DN.

Metrics

10 Record Views
78 citations in Web of Science
77 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Behavioral Sciences
Neurosciences
Psychology, Experimental
Logo image