Dataset Information

Subject-specific maximum entropy model of resting state fMRI shows diagnostically distinct patterns of energy state distributions.

ABSTRACT:

Objective

Existing neuroimaging studies of psychotic and mood disorders have reported regional brain activation differences (first-order properties) and alterations in functional connectivity based on pairwise correlations in activation (second-order properties). This study used a generalized Ising model, also called a pairwise maximum entropy model (MEM), to integrate first- and second-order properties to provide a comprehensive picture of BOLD patterns and a system-wide summary measure called energy. This study examines the usefulness of individual level MEMs, attempts to identify image-derived counterparts of the model, and explores potential applications to psychiatry.

Method

MEMs are fit to resting state fMRI data of each individual of a sample of 132 participants consisting of schizophrenia/schizoaffective disorder, bipolar disorder, and major depression, and a demographically matched 132 participants without these diagnoses from the UK Biobank to examine the default mode network (DMN).

Results

The model explained observed brain state occurrence probabilities well across all participants, and model parameters were highly correlated to image-derived parameters for all groups. Within clinical groups, schizophrenia/schizoaffective disorder and bipolar disorder patients showed significant differences in averaged energy distribution compared to controls for all sub-systems of the DMN except for depression, where differences in the energy distributions were only detected in the DMN of the regions from the right hemisphere.

Conclusions

Subject-specific Ising modeling may offer an improved measure of biological functional correlates relative to traditional approaches. The observation of distinct patterns of energy distribution among the three clinical groups compared to controls suggests relative diagnostic specificity and potential for clinical translation.

SUBMITTER: Theis N

PROVIDER: S-EPMC10849576 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Publications

Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling study.

Theis Nicholas N Bahuguna Jyotika J Rubin Jonathan E JE Cape Joshua J Iyengar Satish S Prasad Konasale M KM

bioRxiv : the preprint server for biology 20240610

<h4>Objective</h4>Existing neuroimaging studies of psychotic and mood disorders have reported brain activation differences (first-order properties) and altered pairwise correlation-based functional connectivity (second-order properties). However, both approaches have certain limitations that can be overcome by integrating them in a pairwise maximum entropy model (MEM) that better represents a comprehensive picture of fMRI signal patterns and provides a system-wide summary measure called energy. ...[more]

PMID: 38328170

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