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Aberrant Cortical Morphological Networks in First-Episode Schizophrenia
Fengmei Fan1, Suhui Jin2, Yating Lv3
1Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China.
Individualized brain networks are disrupted in first-episode schizophrenia (FES). Altered morphological similarities in these networks correlate with symptoms and distinguish patients from controls, offering insights into schizophrenia
Area of Science:
- Neuroimaging
- Neuroscience
- Psychiatry
Background:
- Population-based studies show altered morphological covariance networks in schizophrenia.
- Individualized brain network approaches are a recent development.
Purpose of the Study:
- To investigate disruptions in individualized morphological brain networks in first-episode schizophrenia (FES).
- To determine if these disruptions correlate with clinical symptoms and cognitive function.
- To assess the diagnostic potential of these network alterations.
Main Methods:
- Constructed single-subject morphological brain networks for 203 FES patients and 131 controls.
- Utilized regional cortical thickness, fractal dimension, gyrification index, and sulcal depth.
- Employed the Human Connectome Project Multi-Modal Parcellation atlas for 360 cortical regions.
Main Results:
- FES patients showed reduced morphological similarity across network types, with increases in fractal dimension and sulcal depth networks.
- Altered similarities were prominent in cingulo-opercular and default mode networks.
- Network alterations correlated with clinical symptoms and cognitive deficits, outperforming local morphology in distinguishing patients.
- Graph analysis revealed intact global organization but altered nodal centrality in FES patients.
Conclusions:
- First-episode schizophrenia is associated with distinct disruptions in single-subject cortical morphological networks.
- These findings provide new insights into the neurobiological mechanisms of schizophrenia.
- Individualized network analysis offers a promising avenue for understanding schizophrenia pathophysiology.
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