From microstates to macroscales: A critical review of maximum entropy modeling and energy landscape analysis in functional MRI.
Konasale Prasad, Ouyang Bowei, Nicholas Theis
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In 30 seconds
This systematic review evaluates maximum entropy models (MEMs) in functional MRI, highlighting their ability to analyze dynamic functional network reorganizations. The study emphasizes that MEMs provide a more accurate representation of brain states compared to traditional methods, particularly in conditions like schizophrenia, where patients exhibit altered network dynamics. MEMs reveal significant insights into cognitive dysfunction and psychopathology.
Key findings
- MEMs capture interdependent network dynamics, unlike traditional correlation-based methods.
- Patients with schizophrenia spend more time in high-energy brain states linked to cognitive dysfunction.
- MEMs show superior correspondence to structural connectivity compared to traditional analysis methods.
Why it matters
Understanding the dynamic nature of brain networks through MEMs can enhance insights into psychiatric disorders, potentially leading to improved diagnostic and therapeutic strategies. This approach may help identify biologically relevant functional biomarkers.