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Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
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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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Schizophrenia is a complex mental health disorder that can manifest with various positive symptoms, including thought, movement, and behavior disorders. These symptoms significantly disrupt cognitive and motor functions, leading to profound effects on an individual's ability to engage with the world.
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Schizophrenia, a term introduced by Swiss psychiatrist Eugen Bleuler in 1911, describes a severe psychological disorder marked by profound disruptions in attention, thought processes, language, emotion, and interpersonal relationships. The core feature of schizophrenia is psychosis — a state characterized by a fundamental detachment from reality. This disconnection manifests through distorted logic, impaired perception, and atypical behavior, severely affecting the lives of those...
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Multilayer network instability underlying persistent auditory verbal hallucinations in schizophrenia.

Jinguang Li1, Jingqi He2, Honghong Ren3

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Summary
This summary is machine-generated.

Dynamic brain network changes, particularly reduced switching in the default mode network, are linked to auditory verbal hallucinations (AVHs) in schizophrenia (SCZ). These alterations may contribute to AVH persistence.

Keywords:
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Area of Science:

  • Neuroscience
  • Psychiatry
  • Brain Imaging

Background:

  • Auditory verbal hallucinations (AVHs) in schizophrenia (SCZ) are associated with brain network abnormalities.
  • Previous resting-state fMRI studies often assume network stability, limiting understanding of dynamic changes in AVHs.

Purpose of the Study:

  • To investigate dynamic brain network alterations in SCZ patients with and without persistent AVHs.
  • To explore the relationship between network switching dynamics and AVH severity.

Main Methods:

  • Analysis of resting-state fMRI data from 60 SCZ patients with persistent AVHs (p-AVHs), 39 SCZ patients without AVHs (n-AVHs), and 59 healthy controls (HCs).
  • Utilized graph theory and multilayer modularity to construct and analyze time-varying brain network modular structures.
  • Compared global, subnetwork, and nodal network switching rates across groups and correlated them with AVH severity.

Main Results:

  • Schizophrenia groups exhibited higher subcortical network switching rates than HCs, with increased thalamic node switching in both patient groups.
  • The p-AVH group demonstrated lower switching rates in the default mode network (DMN) and superior frontal gyrus nodes compared to HC and n-AVH groups.
  • A negative correlation was observed between DMN switching rates and AVH severity in the p-AVH group.

Conclusions:

  • Dynamic alterations in brain networks, specifically reduced switching in the DMN and frontal regions, may play a role in the development and persistence of AVHs in SCZ.
  • These findings highlight the importance of considering network dynamics in understanding and potentially treating AVHs.