Commentary on Ooi et al. 2025: What the BWAS debate reveals about brains, data, and dynamics

Ooi et al.’s (2025) demonstration that longer fMRI scans improve BWAS reliability offers a welcome, empirically grounded response to the methodological concerns raised by Marek et al. (2022). This commentary celebrates this solution while arguing that it improves measurement precision without resolving conceptual limitations. BWAS assumes functional connectivity is a stable trait, but accumulating evidence suggests that brain function is inherently dynamic, characterized by metastable states and context-dependent transitions. Longer scans improve measurement within states but do not capture the essential transitions between them. The field needs both rigorous measurement and designs that treat the brain as a dynamical system, characterizing state spaces and trajectories rather than static averages. This synthesis offers a path where statistical rigour and mechanistic understanding reinforce rather than oppose each other.

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Publication Details

Journal
Aperture Neuro
Published
2026-05-13
DOI
https://doi.org/10.52294/001c.157518
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Commentary on Ooi et al. 2025: What the BWAS debate reveals about brains, data, and dynamics

Anthony R. McIntosh
Aperture Neuro
Functional Brain Connectivity Studies
article

Commentary on Ooi et al. 2025: What the BWAS debate reveals about brains, data, and dynamics

Anthony R. McIntosh
article en

Abstract

Ooi et al.’s (2025) demonstration that longer fMRI scans improve BWAS reliability offers a welcome, empirically grounded response to the methodological concerns raised by Marek et al. (2022). This commentary celebrates this solution while arguing that it improves measurement precision without resolving conceptual limitations. BWAS assumes functional connectivity is a stable trait, but accumulating evidence suggests that brain function is inherently dynamic, characterized by metastable states and context-dependent transitions. Longer scans improve measurement within states but do not capture the essential transitions between them. The field needs both rigorous measurement and designs that treat the brain as a dynamical system, characterizing state spaces and trajectories rather than static averages. This synthesis offers a path where statistical rigour and mechanistic understanding reinforce rather than oppose each other.

Aperture NeuroVol. 6
Simon Fraser University (CA)
Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 5%
Functional Brain Connectivity Studies
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Commentary on Ooi et al. 2025: What the BWAS debate reveals about brains, data, and dynamics — Anthony R. McIntosh · Aperture Neuro (2026) | TGRS Research Map | TGRS