Evidence map›Paper›PMID 41256393›Full record

ArticlebioRxiv : the preprint server for biology2025

Functional Inertia Index of Memory-Retaining Brain Dynamics: A Measure of Large-Scale Brain Adaptability.

Sir-Lord Wiafe, Vince D Calhoun

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sir-Lord WiafeTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.ORCID 0009-0002-8583-7987
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.ORCID 0000-0001-9058-0747

Funding

Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivityR01MH123610 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2021 to 2025
$3.1M
NIMH NIH HHS R01 MH123610
6 · The paper itself

Abstract

Adaptive cognition relies on brain activity that is both flexible and resilient to noise, a property we term functional inertia. Conventional dynamic fMRI metrics treat networks as memoryless and cannot capture the persistence that makes some states fleeting and others entrenched. We introduce the functional inertia index (FII), the first index to quantify temporal momentum by measuring the force required to deviate from a brain's long-running trajectory. Applied to resting-state fMRI from a multisite schizophrenia cohort, FII revealed distinct recurrent states, with prolonged residence in a high-inertia plateau predicting greater symptom severity. This effect was mediated by whole-brain FII, which also showed a positive relationship with cognition in patients but a negative relationship in controls, revealing a dissociation between adaptive and maladaptive rigidity. At the regional level, FII unifies two long-standing observations in schizophrenia: excessive rigidity in associative hubs and pathological volatility in sensory pathways, situating both within a single inertial framework and offering a candidate dynamic biomarker.

Indexed as

dynamic time warpingfMRIFunctional Inertia Index (FII)neural adaptabilitySchizophrenia

Identifiers

PMID41256393
PMCPMC12621831

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.