Monotonicity in graph theoretic summaries of fMRI data acquired during human learning

This modest co-observance of monotonicity in behavior and fMRI-based connectomics re-emphasizes what has long been suspected: the relationship between overt measures of behavioral competence and the co-acquired imaging signals is complex. This may be because psychological events (whether in the healthy brain, or in clinical populations like schizophrenia) emerge not from local activity in circumscribed brain regions, but rather from widely distributed activity across the brain. While well-defined mathematical concepts like monotonicity can anchor attempts to co-observe properties of change in overt behavior, and underlying brain signals, we suggest that the search for such relationships will remain a challenge.

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Publication Details

Journal
Frontiers in Human Neuroscience
Published
2025-09-22
DOI
https://doi.org/10.3389/fnhum.2025.1595331
Citations
2
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
4.96

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article

Monotonicity in graph theoretic summaries of fMRI data acquired during human learning

Vaibhav A. Diwadkar, Dalal Khatib, Clifford Abel, Alireza Amirsadri et al.
2 citations
Frontiers in Human Neuroscience
Cognitive Computing and Networks
4.96
article

Monotonicity in graph theoretic summaries of fMRI data acquired during human learning

Vaibhav A. Diwadkar, Dalal Khatib, Clifford Abel, Alireza Amirsadri, John J. Kopchick, Usha Rajan, Caroline Zajac‐Benitez, Jeffrey A. Stanley, Patricia L. Thomas, Luay Haddad, Deepak Bhatt
article en
2 citations

Abstract

This modest co-observance of monotonicity in behavior and fMRI-based connectomics re-emphasizes what has long been suspected: the relationship between overt measures of behavioral competence and the co-acquired imaging signals is complex. This may be because psychological events (whether in the healthy brain, or in clinical populations like schizophrenia) emerge not from local activity in circumscribed brain regions, but rather from widely distributed activity across the brain. While well-defined mathematical concepts like monotonicity can anchor attempts to co-observe properties of change in overt behavior, and underlying brain signals, we suggest that the search for such relationships will remain a challenge.

Frontiers in Human NeuroscienceVol. 19
National Institutes of Health (US), Wayne State University (US), National Institutes of Health Clinical Center (US)
DMC Foundation
Openalex Percentile: Top 5%
Cognitive Computing and Networks
4.96
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