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Stress, Dopamine and the Development of Schizophrenia

2024· article· en· W4390504273 on OpenAlexaff
Q. Zhang

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2024
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsDopamineDopamine hypothesis of schizophreniaSchizophrenia (object-oriented programming)NeurosciencePsychologyDopaminergicPsychosisHypoactivityStressorPsychiatry

Abstract

fetched live from OpenAlex

Dopaminergic dysregulation and dysfunction have long been seen as the key factors of the onset of psychosis. The dopamine hypothesis postulates hyperactivity of subcortical dopamine release and hypoactivity of cortical dopamine transmission in schizophrenia, indicating the relationship between irregular dopamine activity and the development of positive and negative symptoms of schizophrenia. Meanwhile, psychological stressors affect the brain in multiple ways, including changing the structure of neurons and causing malfunction of the dopamine system. These changes are also critical in causing psychotic experiences. Despite there are abundant studies and findings investigating either the relationship between dopamine and schizophrenia, or the relationship between schizophrenia and stress, few of them have put these three concepts together in discussion. This paper aims at investigating how abnormal dopamine functions, stress and schizophrenia are related to each other, which helps generate a deeper and clearer understanding of the disease from a broader view. The relationship between inappropriate dopamine release and the pathophysiology of schizophrenia is discussed, particularly talks about the dopamine transmission in striatal and cortical regions of the brain, it proceeds into an investigation of the association between stress and schizophrenia from both physiological and sociological scopes, and then summarizes the current ways of treating schizophrenia provided along with the future prospect in developing treatments for this disorder.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.340
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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