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Related Concept Videos

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Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
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Schizophrenia is a neurodevelopmental disorder whose origins are rooted in complex genetic components. Despite our burgeoning understanding, the pathophysiology of this disorder remains incompletely deciphered.
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate

Shahira J Baajour1, Asadur Chowdury1, Patricia Thomas1

  • 1Department of Psychiatry and Behavioral Neuroscience, Wayne State University School of Medicine, Detroit, Michigan, USA.

Human Brain Mapping
|May 22, 2020
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Summary

Schizophrenia (SCZ) disrupts brain network directionality during associative learning. This study reveals specific, altered directional functional connectivity (dFC) patterns in SCZ patients compared to healthy controls (HC) during encoding and retrieval tasks.

Keywords:
associative learningcortical-hippocampal networksfMRIlearning dynamicsmultivariate autoregressive modelsschizophrenia

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychiatry

Background:

  • Normative brain function relies on directional network interactions, particularly in associative learning.
  • Schizophrenia (SCZ) is associated with altered learning dynamics, but task-evoked directional functional connectivity (dFC) during learning remains understudied.

Purpose of the Study:

  • To investigate dysfunctional directional interactions in brain networks during associative learning in individuals with schizophrenia (SCZ) compared to healthy controls (HC).
  • To characterize alterations in dFC during different learning stages (Early vs. Late) and conditions (Encoding vs. Retrieval).

Main Methods:

  • Utilized a nonlinear learning paradigm with alternating Encoding and Retrieval conditions.
  • Modeled evoked fMRI time series data using multivariate autoregressive (MVAR) models to assess dFC between brain network nodes.
  • Compared dFC measures between SCZ and HC groups, exploring effects of neuroleptic dosage.

Main Results:

  • SCZ patients exhibited reduced dFC within a frontal-hippocampal-fusiform network during Early Encoding.
  • During Late Encoding, SCZ showed reduced dFC linked to pathways toward the dorsolateral prefrontal cortex (dlPFC).
  • During Early Retrieval, SCZ displayed increased dFC involving the dorsal anterior cingulate cortex. During Late Retrieval, SCZ showed altered dFC with the dlPFC (increased towards, decreased from).

Conclusions:

  • Task-evoked dysconnections in schizophrenia extend to directional functional connectivity, offering novel insights into the disorder.
  • Disordered network directionality during associative learning is a key feature in schizophrenia and warrants further investigation using computational psychiatric approaches.