Distinguishing rhythmic from non-rhythmic brain activity during rest in healthy neurocognitive aging

NeuroImage
Jeremy B CaplanRoger A Dixon

Abstract

Rhythmic brain activity at low frequencies (<12Hz) during rest are thought to increase in neurodegenerative disease, but findings in healthy neurocognitive aging are mixed. Here we address two reasons conventional spectral analyses may have led to inconsistent results. First, spectral-power measures are compared to a baseline condition; when resting activity is the signal of interest, it is unclear what the baseline should be. Second, conventional methods do not clearly differentiate power due to rhythmic versus non-rhythmic activity. The Better OSCillation detection method (BOSC; Caplan et al., 2001; Whitten et al., 2011) avoids these problems by using the signal's own spectral characteristics as a reference to detect elevations in power lasting a few cycles. We recorded electroencephalographic (EEG) signal during rest, alternating eyes open and closed, in healthy younger (18-25 years) and older (60-74 years) participants. Topographic plots suggested the conventional and BOSC analyses measured different sources of activity, particularly at frequencies, like delta (1-4Hz), at which rhythms are sporadic; topographies were more similar in the 8-12Hz alpha band. There was little theta-band activity meeting the BOSC method's criter...Continue Reading

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Citations

Jan 17, 2019·The Clinical Neuropsychologist·Bryce P MulliganSidney J Segalowitz
Nov 25, 2020·Nature Neuroscience·Thomas DonoghueBradley Voytek
Jan 3, 2021·Psychiatry Research·Joyce BaptistYile Su
Jul 17, 2021·The European Journal of Neuroscience·Thomas DonoghueBradley Voytek

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