Transient Spectral Peak Analysis Reveals Distinct Temporal Activation Profiles for Different Functional Brain Networks

Robyn L. Miller, Vince D. Calhoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Employing functional magnetic resonance imaging (fMRI) data from a large schizophrenia study, we use wavelets and frequency-specific spectral thresholding to transform each of the functional network timecourses (TCs) produced by group independent component analysis (GICA) into sparse multivariate spectral timeseries that consist only of zeros except at time-frequency points where power exceeds the 95th percentile for that frequency, i.e. masked to retain only frequency-specific extremal spectral events. From this characterization of network timeseries in terms of transient spectral peaks, we identify new distinctions between the temporal behavior of different functional networks and domains, new anomalies of meso-scale brain activation in schizophrenia patients and relationships between transient muti-network spectral extrema and time-varying network connectivity that have not been reported previously.

Original languageEnglish (US)
Title of host publication2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-111
Number of pages4
ISBN (Electronic)9781728157450
DOIs
StatePublished - Mar 2020
Externally publishedYes
Event2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Santa Fe, United States
Duration: Mar 29 2020Mar 31 2020

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2020-March

Conference

Conference2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020
CountryUnited States
CitySanta Fe
Period3/29/203/31/20

Keywords

  • fMRI
  • frequency domain
  • functional brain networks
  • network connectivity
  • wavelet analysis

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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  • Cite this

    Miller, R. L., & Calhoun, V. D. (2020). Transient Spectral Peak Analysis Reveals Distinct Temporal Activation Profiles for Different Functional Brain Networks. In 2020 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2020 - Proceedings (pp. 108-111). [9094609] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2020-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSIAI49293.2020.9094609