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Updated: Jan 24, 2026

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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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Diminished spatial dynamics and maladaptive spatial complexity link resting brain network disruption to cognition in
Biorxiv : the Preprint Server for Biology
|January 23, 2026
Summary
Schizophrenia patients exhibit disorganized brain networks with reduced spatial complexity and adaptability. This dynamic spatial network complexity and connectivity (dSNCC) deficit is linked to cognitive impairments and offers a potential biomarker for brain disorders.
Area of Science:
- Neuroscience
- Complex Systems Science
- Cognitive Neuroscience
Background:
- Resting-state fMRI studies highlight dynamic brain networks.
- Existing methods often focus on temporal connectivity, not spatial dynamics.
- Understanding voxel-level spatial complexity and its temporal changes is crucial.
Purpose of the Study:
- To introduce dynamic spatial network complexity and connectivity (dSNCC) for analyzing brain network dynamics.
- To investigate spatial complexity and flexibility in brain networks.
- To examine dSNCC in healthy controls and schizophrenia patients and its association with cognitive function.
Main Methods:
- Utilized dynamic independent component analysis (ICA) and fractal dimension (FrD).
- Measured spatial complexity (FrD), dynamic flexibility, and fractal dimension coupling (FrDC).
- Analyzed data from 508 subjects (315 healthy controls, 193 schizophrenia patients).
Main Results:
- Schizophrenia patients showed higher mean FrD, indicating disorganized network structure.
- Patients exhibited significantly reduced dynamic flexibility, with networks appearing less adaptable.
- dSNCC measures correlated with cognitive impairments in processing speed, visual, and verbal learning.
- Aberrant fractal dimension coupling (FrDC) was observed in schizophrenia patients.
Conclusions:
- dSNCC is a powerful tool for characterizing brain network dynamics.
- Reduced dynamic flexibility in spatial complexity may be a mechanism for maladaptation in schizophrenia.
- dSNCC offers a novel, quantifiable biomarker framework for brain disorders like schizophrenia, Alzheimer's, and autism.
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