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Record W2936608848 · doi:10.1093/schbul/sbz021.236

O8.4. CORTICAL DOPAMINE RELEASE IN RESPONSE TO A COGNITIVE CHALLENGE: PRELIMINARY RESULTS IN FIRST EPISODE PSYCHOSIS AND CLINICAL HIGH RISK

2019· article· en· W2936608848 on OpenAlexaff
Abanti Tagore, Naren P. Rao, Christin Schifani, Huai‐Hsuan Tseng, Pablo Rusjan, Romina Mizrahi

Bibliographic record

VenueSchizophrenia Bulletin · 2019
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsWisconsin Card Sorting TestPsychosisPrefrontal cortexPsychologySchizophrenia (object-oriented programming)Executive functionsCognitionPsychiatryNeuropsychologyClinical psychologyNeuroscienceMedicine

Abstract

fetched live from OpenAlex

Evidence from several lines of research suggest decreased dopamine (DA) release in the prefrontal cortex (PFC) as the neural correlate of cognitive deficits in schizophrenia (SCZ). Impaired executive functions, such as attention and working memory, are key features of the disease and are strong predictors of later functional status. However, there are currently no in-vivo studies examining cortical DA function in response to a cognitive task in putative prodromal stages of SCZ, despite the large amount of evidence pointing to the cortical hypodopaminergia hypothesis. We aim to investigate differences in cognitive task-induced cortical DA function indexed as DA release at the first episode psychosis (FEP) stage of the illness and then further in the clinical high risk (CHR) for psychosis stage using PET imaging with [11C]-FLB-457 radiotracer. In the first previously published study, we examined DA release between healthy controls (HC) and FEP patients and in the second study between HC and CHR participants. Study 1: 13 HC and 13 FEP, recruited from the Center for Addiction and Mental Health (CAMH). Study 2: 14 CHR and 15 HC and 14 CHR, recruited from the Focus on Youth Psychosis Prevention clinic at CAMH. HC participants for both studies were recruited from the community and had no current or past DSM-IV Axis I diagnosis and no family history of psychotic disorders. All FEP and CHR had no concurrent axis I disorder. The Repeatable Battery for the Assessment of Neuropsychological Status and Wisconsin Card Sorting Task (WCST) was administered to assess executive functions such as attention and working memory. Each participant underwent a 90-minute dual PET scan procedure using a high-resolution PET-CT during which they performed 6 trials of the Sensory Motor Control Task and the WCST. The main measure of interest is the difference in cortical DA release between groups, assessed by quantifying the displacement of the [11C]-FLB-457 radiotracer (ΔBPND) between the two scans in the anterior cingulate cortex (ACC) and dorsolateral prefrontal cortex (DLPFC) between groups in each study. Each participant also completed an MRI scan for anatomical delineation. Study 1: Significant differences in the cognitive task induced ΔBPND in ACC (HC=4.40 ± 6.00; FEP=-11.48 ± 15.08; t=3.52; p=0.003) and a trend level difference in ΔBPND in DLPFC (HC=-0.58 ± 8.45; FEP=-7.79± 11.28; t= 1.84; p=0.079). Study 2: No significant differences in the cognitive task induced ΔBPND in ACC (HC=4.33 ± 15.65; CHR=-2.10 ± 14.21; t=3.92; p=0.698) or DLPFC (HC=-2.47± 9.88; CHR=0.77± 14.27; t=0.71; p=0.486). Data from these studies provide for the first time, in-vivo evidence for impaired task induced DA release in the ACC and DLPFC in patients at FEP. The present results provide support for the cortical hypodopaminergia hypothesis of cognitive symptoms in SCZ. Further, because these DA abnormalities are not present in CHR phase, perhaps they develop once further down the illness progression. These findings can be used in identifying biological risk factors of SCZ and aid in developing preventative treatment measures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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