Infection-related images reduce cortical edge metastability: a specification-curve analysis of a block-design fMRI study

Cues of infection evoke disgust, attentional capture, withdrawal and shifts in social orientation, a set of responses attributed to the behavioral immune system. Responses this varied have to be coordinated, as the effects of inflammation are, so they should be visible in whole-cortex coupling. We predicted that infection-related images hold cortical dynamics in a narrower repertoire, reducing cortical edge metastability, the temporal variability of mean cofluctuation across parcel pairs. In two fMRI runs, 44 adults viewed alternating 18-s blocks of infection-related and neutral images; the primary test was specified before we looked at the data. That test gave Cohen's d = -0.31 (permutation p = .042), and 263 of 480 specifications were significant, all negative (joint p < .001). With global signal regression, the synchrony-based reduction survived removal of the stimulus-locked response, detrending, and motion, white-matter and cerebrospinal-fluid regression (d = -0.47), recurred in the second run (d = -0.44), and was smaller on strictly alternating blocks (d = -0.36). Without global signal regression, the pre-specified effect did not survive white-matter and cerebrospinal-fluid regression. Individual-difference predictions were not supported, and participants' contrasts did not replicate across runs. Infection-related images reduce the variability of residual global cofluctuation at the group level; whether this is specific to pathogen cues remains open.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-01
DOI
https://doi.org/10.64898/2026.10.27.762178
Primary Topic
Functional Brain Connectivity Studies
Type
preprint

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preprint

Infection-related images reduce cortical edge metastability: a specification-curve analysis of a block-design fMRI study

Gustavo Deco, Motoaki Sugiura, Elvira Garcia Guzman, Tomas Berjaga-Buisan et al.
bioRxiv (Cold Spring Harbor Laboratory)
Functional Brain Connectivity Studies
preprint

Infection-related images reduce cortical edge metastability: a specification-curve analysis of a block-design fMRI study

Gustavo Deco, Motoaki Sugiura, Elvira Garcia Guzman, Tomas Berjaga-Buisan, CHOI JEYOON
preprint en

Abstract

Cues of infection evoke disgust, attentional capture, withdrawal and shifts in social orientation, a set of responses attributed to the behavioral immune system. Responses this varied have to be coordinated, as the effects of inflammation are, so they should be visible in whole-cortex coupling. We predicted that infection-related images hold cortical dynamics in a narrower repertoire, reducing cortical edge metastability, the temporal variability of mean cofluctuation across parcel pairs. In two fMRI runs, 44 adults viewed alternating 18-s blocks of infection-related and neutral images; the primary test was specified before we looked at the data. That test gave Cohen's d = -0.31 (permutation p = .042), and 263 of 480 specifications were significant, all negative (joint p < .001). With global signal regression, the synchrony-based reduction survived removal of the stimulus-locked response, detrending, and motion, white-matter and cerebrospinal-fluid regression (d = -0.47), recurred in the second run (d = -0.44), and was smaller on strictly alternating blocks (d = -0.36). Without global signal regression, the pre-specified effect did not survive white-matter and cerebrospinal-fluid regression. Individual-difference predictions were not supported, and participants' contrasts did not replicate across runs. Infection-related images reduce the variability of residual global cofluctuation at the group level; whether this is specific to pathogen cues remains open.

bioRxiv (Cold Spring Harbor Laboratory)
Universitat Pompeu Fabra (ES), Tohoku University (JP)
HORIZON EUROPE Framework Programme, Japan Science and Technology Agency, Agència de Gestió d'Ajuts Universitaris i de Recerca, European Regional Development Fund, Agencia Estatal de Investigación
Good health and well-being
Functional Brain Connectivity Studies
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