The power of spectral density analysis for mapping endogenous BOLD signal fluctuations

Eugene P Duff; Leigh A Johnston; Jinhu Xiong; Peter T Fox; Iven Mareels; Gary F Egan

doi:10.1002/hbm.20601

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The power of spectral density analysis for mapping endogenous BOLD signal fluctuations

Journal article

Open access

Peer reviewed

The power of spectral density analysis for mapping endogenous BOLD signal fluctuations

Eugene P Duff, Leigh A Johnston, Jinhu Xiong, Peter T Fox, Iven Mareels and Gary F Egan

Human brain mapping, Vol.29(7), pp.778-790

07/2008

DOI: 10.1002/hbm.20601

PMCID: PMC5441229

PMID: 18454458

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https://doi.org/10.1002/hbm.20601View

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Abstract

FMRI has revealed the presence of correlated low-frequency cerebro-vascular oscillations within functional brain systems, which are thought to reflect an intrinsic feature of large-scale neural activity. The spatial correlations shown by these fluctuations has been their identifying feature, distinguishing them from fluctuations associated with other processes. Major analysis methods characterize these correlations, identifying networks and their interactions with various factors. However, other analysis approaches are required to fully characterize the regional signal dynamics contributing to these correlations between regions. In this study we show that analysis of the power spectral density (PSD) of regional signals can identify changes in oscillatory dynamics across conditions, and is able to characterize the nature and spatial extent of signal changes underlying changes in measures of connectivity. We analyzed spectral density changes in sessions consisting of both resting-state scans and scans recording 2 min blocks of continuous unilateral finger tapping and rest. We assessed the relationship of PSD and connectivity measures by additionally tracking correlations between selected motor regions. Spectral density gradually increased in gray and white matter during the experiment. Finger tapping produced widespread decreases in low-frequency spectral density. This change was symmetric across the cortex, and extended beyond both the lateralized task-related signal increases, and the established "resting-state" motor network. Correlations between motor regions also reduced with task performance. In conclusion, analysis of PSD is a sensitive method for detecting and characterizing BOLD signal oscillations that can enhance the analysis of network connectivity.

Magnetic Resonance Imaging

Humans

Middle Aged

Adolescent

Brain Mapping

Adult

Female

Male

Image Processing, Computer-Assisted - methods

Brain - physiology

Nerve Net - physiology

Details

Title: Subtitle: The power of spectral density analysis for mapping endogenous BOLD signal fluctuations
Creators: Eugene P Duff - Howard Florey Institute, Centre for Neuroscience, University of Melbourne, Victoria, Australia. eduff@pcomm.hfi.unimelb.edu.au
Leigh A Johnston
Jinhu Xiong
Peter T Fox
Iven Mareels
Gary F Egan
Resource Type: Journal article
Publication Details: Human brain mapping, Vol.29(7), pp.778-790
DOI: 10.1002/hbm.20601
PMID: 18454458
PMCID: PMC5441229
NLM abbreviation: Hum Brain Mapp
ISSN: 1065-9471
eISSN: 1097-0193
Grant note: R01 NS046082 / NINDS NIH HHS
Language: English
Date published: 07/2008
Academic Unit: Roy J. Carver Department of Biomedical Engineering
Record Identifier: 9984083886702771

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