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Negative and Cognitive Symptoms of Schizophrenia

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Developing a Rat Model for Bipolar Disorder
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Modeling Negative Symptom Domain Neurobiology: Protocol for an Observational, Transdiagnostic, Translational Study.

Dan Cătălin Oprea1, Ilinca Untu1, Diana-Sabina Vieru2

  • 1Grigore T. Popa University of Medicine and Pharmacy, Iași, Romania.

JMIR Research Protocols
|May 18, 2026
PubMed
Summary

This study investigates negative symptoms (NS) like avolition across various mental disorders, seeking shared biological mechanisms. Findings aim to identify biomarkers for improved treatments for conditions such as schizophrenia and depression.

Keywords:
anhedoniaautismavolitionbipolar disorderdementiamajor depressive disordernegative symptomsschizophrenia

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Published on: September 8, 2021

Area of Science:

  • Neuroscience
  • Psychiatry
  • Genetics

Background:

  • Negative symptoms (NS), including anhedonia and avolition, significantly impair functional outcomes in psychiatric disorders.
  • Current treatments inadequately address NS, highlighting a critical need for research into their underlying neurobiology.
  • Understanding the shared biological architecture versus distinct pathways of NS is a significant research gap.

Purpose of the Study:

  • To characterize NS across a transdiagnostic sample, focusing on avolition's biological correlates, neurocognitive, and electrophysiological profiles.
  • To determine if NS exhibit consistent centrality across disorders or if patterns vary by diagnosis.
  • To disentangle shared versus disorder-specific mechanisms by linking symptom profiles to neurobiological markers.

Main Methods:

  • Observational, single-center study involving 300 participants across schizophrenia, bipolar disorder, unipolar depression, autism, and dementia.
  • Comprehensive assessments include clinical scales, neurocognitive tests (e.g., Temporal Experience of Pleasure Scale), resting-state EEG, and polygenic risk scores.
  • Network analysis for symptom centrality and structural equation modeling to integrate network, neurophysiological, and genetic data.

Main Results:

  • Participant recruitment is ongoing, with 286 enrolled by March 2026.
  • Data quality control and preliminary analyses are conducted concurrently with data collection.
  • Final analyses and results dissemination are planned post-recruitment.

Conclusions:

  • The study will offer insights into NS characterization and mechanisms across psychiatric disorders.
  • Findings may identify biological and electrophysiological markers for NS, particularly avolition.
  • Results could inform novel therapeutic strategies and assessment tools for serious mental illnesses.