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Related Concept Videos

Role of Cerebellum and Prefrontal Cortex in Memory01:14

Role of Cerebellum and Prefrontal Cortex in Memory

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The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
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Negative and Cognitive Symptoms of Schizophrenia01:30

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Negative symptoms of schizophrenia indicate a reduction or absence of typical behaviors and emotional responses found in healthy individuals, while positive symptoms reflect an excess or distortion of normal functioning.
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Negative symptoms of schizophrenia manifest as deficits in normal emotional and behavioral functioning, profoundly impacting daily life. Individuals with schizophrenia often display a flat affect, characterized by a near-total absence of emotional expression,...
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Related Experiment Video

Updated: Apr 22, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Cerebellar dysconnectivity in schizophrenia spectrum: task-based functional connectivity analysis and cognitive

Diana S M Rosales-Gurmendi1, Sadam Hussain1,2, Eduardo de Avila-Armenta1

  • 1School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico.

Frontiers in Psychiatry
|April 20, 2026
PubMed
Summary

Schizophrenia involves brain network changes, particularly in the cerebellum, impacting cognition. These cerebellar connectivity alterations track illness state, not just genetic risk, revealing distinct patient subtypes.

Keywords:
cerebellumcognitive subtypesfunctional connectivityschizophreniaworking memory

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • Schizophrenia is a complex brain disorder characterized by network dysconnectivity.
  • The precise links between neural alterations, cognitive deficits, and genetic predisposition in schizophrenia are not fully understood.

Purpose of the Study:

  • To investigate brain network alterations in schizophrenia using functional MRI (fMRI).
  • To examine the relationship between neural connectivity, cognitive performance, and genetic risk.
  • To identify distinct patient subtypes based on clinical and cognitive profiles.

Main Methods:

  • Multiscale graph-theoretic analysis of task-based fMRI during working memory tasks (N-back).
  • Examination of schizophrenia patients (SCZ), unaffected siblings (SCZ-SIB), healthy controls (CON), and control siblings (CON-SIB).
  • Unsupervised clustering to identify data-driven patient subtypes.

Main Results:

  • Reduced cerebellum-sensorimotor and cerebellum-cingulo-opercular connectivity differentiated SCZ from CON.
  • Dysconnectivity patterns were associated with clinical state (SCZ vs. SCZ-SIB) rather than familial risk (SCZ-SIB vs. CON-SIB).
  • Three subtypes emerged: preserved verbal abilities, marked cognitive impairment, and working memory sparing, with cerebellar hypoconnectivity aligning with these profiles.

Conclusions:

  • Cerebellar dysconnectivity in schizophrenia is detectable under moderate cognitive load and correlates with clinical status.
  • These findings highlight cerebellar circuit alterations and their role in schizophrenia heterogeneity.
  • The study advances circuit-based understanding of schizophrenia by linking neural, cognitive, and clinical features.