Basis profile curve identification to understand electrical stimulation effects in human brain networks

Kai J. Miller, Klaus Robert Müller, Dora Hermes

Research output: Contribution to journalArticlepeer-review

Abstract

Brain networks can be explored by delivering brief pulses of electrical current in one area while measuring voltage responses in other areas. We propose a convergent paradigm to study brain dynamics, focusing on a single brain site to observe the average effect of stimulating each of many other brain sites. Viewed in this manner, visually-apparent motifs in the temporal response shape emerge from adjacent stimulation sites. This work constructs and illustrates a data-driven approach to determine characteristic spatiotemporal structure in these response shapes, summarized by a set of unique “basis profile curves” (BPCs). Each BPC may be mapped back to underlying anatomy in a natural way, quantifying projection strength from each stimulation site using simple metrics. Our technique is demonstrated for an array of implanted brain surface electrodes in a human patient. This framework enables straightforward interpretation of single-pulse brain stimulation data, and can be applied generically to explore the diverse milieu of interactions that comprise the connectome.

Original languageEnglish (US)
Article numbere1008710
JournalPLoS computational biology
Volume17
Issue number9
DOIs
StatePublished - Sep 2021

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'Basis profile curve identification to understand electrical stimulation effects in human brain networks'. Together they form a unique fingerprint.

Cite this