4.7 Article

Local and distant responses to single pulse electrical stimulation reflect different forms of connectivity

期刊

NEUROIMAGE
卷 237, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2021.118094

关键词

Direct electrical stimulation; Connectivity; Diffusion tensor imaging; sEEG; Intracranial

资金

  1. NINDS [K24-NS08856801A1]
  2. Tiny Blue Dot Foundation
  3. United States Department of Energy Computational Sciences Graduate Fellowship [DE-FG0297ER25308]
  4. U.S. Army Research Office and Defense Advanced Research Projects Agency (DARPA) [W911NF-14-2-0045]

向作者/读者索取更多资源

Measuring connectivity in the human brain involves various approaches using both noninvasive and invasive recording modalities, including external probing stimuli. This study found that different connectivity measures, including those derived from active stimulation-based probing, measure different, complementary aspects of regional interrelationships in the brain.
Measuring connectivity in the human brain involves innumerable approaches using both noninvasive (fMRI, EEG) and invasive (intracranial EEG or iEEG) recording modalities, including the use of external probing stimuli, such as direct electrical stimulation. To examine how different measures of connectivity correlate with one another, we compared 'passive' measures of connectivity during resting state conditions to the more 'active' probing measures of connectivity with single pulse electrical stimulation (SPES). We measured the network engagement and spread of the cortico-cortico evoked potential (CCEP) induced by SPES at 53 out of 104 total sites across the brain, including cortical and subcortical regions, in patients with intractable epilepsy (N = 11) who were undergoing intracranial recordings as a part of their clinical care for identifying seizure onset zones. We compared the CCEP network to functional, effective, and structural measures of connectivity during a resting state in each patient. Functional and effective connectivity measures included correlation or Granger causality measures applied to stereoEEG (sEEGs) recordings. Structural connectivity was derived from diffusion tensor imaging (DTI) acquired before intracranial electrode implant and monitoring (N = 8). The CCEP network was most similar to the resting state voltage correlation network in channels near to the stimulation location. In contrast, the distant CCEP network was most similar to the DTI network. Other connectivity measures were not as similar to the CCEP network. These results demonstrate that different connectivity measures, including those derived from active stimulation-based probing, measure different, complementary aspects of regional interrelationships in the brain.

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