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Altered resting state functional connectivity in early course schizophrenia
Aastha Sharma1, Arvind Kumar2, Sadhana Singh3
1Medical Training Initiative (MTI) Training Fellow, Mental Health Hospital Liaison Team, Central and North West London NHS Foundation trust, Milton Keynes, United Kingdom.
Early schizophrenia patients show reduced brain connectivity in key networks. This functional hypoconnectivity in networks like the fronto-parietal and default mode may be crucial for understanding schizophrenia.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Schizophrenia pathophysiology is linked to impaired brain connectivity.
- Previous functional connectivity studies yield inconsistent findings.
- Early-course schizophrenia presents a unique window for investigation.
Purpose of the Study:
- To investigate functional connectivity differences in early-course schizophrenia.
- To compare brain network connectivity between patients and healthy controls.
- To identify potential neuroimaging biomarkers for schizophrenia.
Main Methods:
- Resting-state functional magnetic resonance imaging (rsfMRI) was used.
- A homogenous sample of 34 early schizophrenia patients and 19 healthy controls participated.
- Data analysis employed FSL software (FMRIB's Software Library).
Main Results:
- Schizophrenia patients exhibited significantly decreased functional connectivity.
- Hypoconnectivity was observed in the left fronto-parietal, visual, motor, default mode, and auditory networks.
- These findings suggest widespread functional network alterations in early schizophrenia.
Conclusions:
- Early schizophrenia is characterized by significant functional hypoconnectivity across multiple brain networks.
- Observed hypoconnectivity may be associated with schizophrenia features beyond those studied.
- Functional connectivity warrants further investigation as a potential biomarker across diverse schizophrenia phenotypes.
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