ArticleFrontiers in neuroscience2022
Reliability and Validity of Power Spectrum Slope (PSS): A Metric for Measuring Resting-State Functional Magnetic Resonance Imaging Activity of Single Voxels.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 4 citations in OpenAlex.
- Power Spectral Slope as a Novel Brain Functional Marker for Major Depressive Disorder.Biological psychiatry global open science · 2026Article
- A mega-analysis of low frequency resting-state measures in mood and psychosis-spectrum disorders.medRxiv : the preprint server for health sciences · 2025Article
- Test-Retest Reliability of EEG Aperiodic Components in Resting and Mental Task States.Brain topography · 2024Article
- A voxel-level resting-state fMRI study on patients with alcohol use disorders based on a power spectrum slope analysis method.Frontiers in neuroscience · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
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Abstract
Methods that capture the features of single voxels of resting-state fMRI (RS-fMRI) could precisely localize the abnormal spontaneous activity and hence guide precise brain stimulation. As one of these metrics, the amplitude of low-frequency fluctuation (ALFF) has been used in numerous studies, however, it is frequency-dependent and the division of frequency bands is still controversial. Based on the well-accepted power law of time series, this study proposed an approach, namely, power spectrum slope (PSS), to characterize the RS-fMRI time series of single voxels. Two metrics, i.e., linear coefficient b and power-law slope b' were used and compared with ALFF. The reliability and validity of the PSS approach were evaluated on public RS-fMRI datasets (
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