BOLD frequency power indexes working memory performance
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Balsters JH, Robertson IH, & Calhoun VD, BOLD frequency power indexes working memory performance, Frontiers in Human Neuroscience, 7, 2013, 207 - 215Download Item:
Abstract:
Electrophysiology studies routinely investigate the relationship between neural oscillations
and task performance. However, the sluggish nature of the BOLD response means that
few researchers have investigated the spectral properties of the BOLD signal in a similar
manner. For the first time we have applied group ICA to fMRI data collected during a stan-
dard working memory task (delayed match-to-sample) and using a multivariate analysis, we
investigate the relationship between working memory performance (accuracy and reaction
time) and BOLD spectral power within functional networks. Our results indicate that BOLD
spectral power within specific networks (visual, temporal-parietal, posterior default-mode
network, salience network, basal ganglia) correlated with task accuracy. Multivariate analy-
ses show that the relationship between task accuracy and BOLD spectral power is stronger
than the relationship between BOLD spectral power and other variables (age, gender, head
movement, and neuropsychological measures). A traditional General Linear Model (GLM)
analysis found no significant group differences, or regions that covaried in signal intensity
with task accuracy, suggesting that BOLD spectral power holds unique information that
is lost in a standard GLM approach. We suggest that the combination of ICA and BOLD
spectral power is a useful novel index of cognitive performance that may be more sensitive
to brain-behavior relationships than traditional approaches
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Author: ROBERTSON, IAN; BALSTERS, JOSHUA
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Frontiers in Human Neuroscience7
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Ageing , NeuroscienceDOI:
http://dx.doi.org/10.3389/fnhum.2013.00207Metadata
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