Spatially Independent Components Derived from High-Density Diffuse Optical Tomography Data Show Differential Activity during Overt Motor Observation and Imitation

Sung Min Park, Tessa G. George, Chloe M. Sobolewski, Sophia R. McMorrow, Dalin Yang, Mary B. Nebel, Bahar Tunçgenç, René Vidal, Natasha Marrus, Stewart H. Mostofsky, Adam T. Eggebrecht

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High-density diffuse optical tomography data was collected to assess neural activity during motor imitation. Independent component analysis revealed components exhibiting differential activity during observation and imitation. Changes in task-relatedness in components correlate with behavioral measures.

Original languageEnglish
Title of host publicationFrontiers in Optics
Subtitle of host publicationProceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
PublisherOptical Society of America
ISBN (Electronic)9781957171296
DOIs
StatePublished - 2023
EventFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 - Tacoma, United States
Duration: Oct 9 2023Oct 12 2023

Publication series

NameFrontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

Conference

ConferenceFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Country/TerritoryUnited States
CityTacoma
Period10/9/2310/12/23

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