Functional connectivity in distinct cognitive subtypes in psychosis
Kathryn E Lewandowski1, Julie M McCarthy1, Dost Öngür1
1McLean Hospital, Schizophrenia and Bipolar Disorder Program, United States of America; Harvard Medical School, Department of Psychiatry, United States of America.
Cognitive dysfunction in psychosis is linked to altered brain connectivity. This study found distinct patterns of functional connectivity differences in patients with psychosis, separating illness effects from cognitive impairment effects.
Area of Science:
- Neuroscience
- Psychiatry
- Cognitive Science
Background:
- Cognitive dysfunction is prevalent in psychotic disorders, posing challenges for neurobiological research due to significant heterogeneity.
- Understanding the neurobiology of cognitive deficits in psychosis requires differentiating between illness-related and cognitive impairment-specific changes.
Purpose of the Study:
- To identify patients with psychosis exhibiting intact versus impaired cognitive profiles.
- To investigate resting-state functional connectivity (RSFC) patterns in these patient groups and compare them to healthy controls.
- To determine if connectivity patterns are overlapping or distinct between psychosis, cognitive impairment, and healthy states.
Main Methods:
- Recruited 120 patients with affective or non-affective psychosis and 31 healthy controls.
- Administered the MATRICS Consensus Cognitive Battery, clinical, and functioning assessments.
- Utilized fMRI to measure RSFC, comparing patient subgroups (cognitively intact vs. impaired) and controls, controlling for covariates.
Main Results:
- Both cognitively intact and impaired patients with psychosis showed reduced intrinsic connectivity in frontoparietal and motor networks compared to controls.
- Patients with cognitive impairment exhibited further reductions in frontoparietal network connectivity, specifically in subnetwork A, compared to cognitively intact patients.
Conclusions:
- Leveraged cognitive heterogeneity in psychosis to distinguish contributions of cognitive dysfunction versus the psychotic illness itself on network connectivity.
- Findings suggest partially separable neural network dysconnectivity effects attributable to the presence of a psychotic disorder and neurocognitive impairment.
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