Evidence map›Paper›PMID 37916179›Full record

ArticleFrontiers in neuroscience2023

Temporal and spectral analyses of EEG microstate reveals neural effects of transcranial photobiomodulation on the resting brain.

Nghi Cong Dung Truong, Xinlong Wang, Hanli Liu

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Nghi Cong Dung TruongDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, United States.
Xinlong WangDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, United States.
Hanli LiuDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, United States.

Funding

Novel Neuromodulation by Transcranial Infrared Brain Stimulation with ImagingRF1MH114285 · NIMH · UNIVERSITY OF TEXAS ARLINGTON · PI GONZALEZ-LIMA, FRANCISCO, LIU, HANLI · 2017 to 2017
$2.9M
Digital biomarkers for Alzheimer's Disease with compact dual-mode brain sensingR21AG079309 · NIA · UNIVERSITY OF TEXAS ARLINGTON · PI LIU, HANLI · 2022 to 2022
$388k
NIA NIH HHS R21 AG079309NIMH NIH HHS RF1 MH114285
6 · The paper itself

Abstract

Introduction: The quantification of electroencephalography (EEG) microstates is an effective method for analyzing synchronous neural firing and assessing the temporal dynamics of the resting state of the human brain. Transcranial photobiomodulation (tPBM) is a safe and effective modality to improve human cognition. However, it is unclear how prefrontal tPBM neuromodulates EEG microstates both temporally and spectrally. Methods: 64-channel EEG was recorded from 45 healthy subjects in both 8-min active and sham tPBM sessions, using a 1064-nm laser applied to the right forehead of the subjects. After EEG data preprocessing, time-domain EEG microstate analysis was performed to obtain four microstate classes for both tPBM and sham sessions throughout the pre-, during-, and post-stimulation periods, followed by extraction of the respective microstate parameters. Moreover, frequency-domain analysis was performed by combining multivariate empirical mode decomposition with the Hilbert-Huang transform. Results: Statistical analyses revealed that tPBM resulted in (1) a significant increase in the occurrence of microstates A and D and a significant decrease in the contribution of microstate C, (2) a substantial increase in the transition probabilities between microstates A and D, and (3) a substantial increase in the alpha power of microstate D. Discussion: These findings confirm the neurophysiological effects of tPBM on EEG microstates of the resting brain, particularly in class D, which represents brain activation across the frontal and parietal regions. This study helps to better understand tPBM-induced dynamic alterations in EEG microstates that may be linked to the tPBM mechanism of action for the enhancement of human cognition.

Indexed as

EEG microstateelectroencephalogram (EEG)empirical mode decompositionHilbert-Huang transformtranscranial photobiomodulation (tPBM)

Identifiers

PMID37916179
PMCPMC10616257

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.