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Brain imaging research on subjective responses to psychotropic drugs

2005· review· en· W2068608717 on OpenAlexaff
Lakshmi P. Voruganti, A. George Awad

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2005
Typereview
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsUniversity of TorontoMcMaster University
Fundersnot available
KeywordsNeuroimagingNeurochemicalPsychologyDopaminergicNeuroscienceDopamineSchizophrenia (object-oriented programming)PopulationFunctional imagingPsychiatryMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Neuroimaging studies on subjective responses to psychotropic drugs in humans were reviewed to examine progress in the field and identify gaps in knowledge. METHOD: An exhaustive search of computerized databases identified two categories of in vivo imaging studies: i) correlates of negative(dysphoric) subjective responses to neuroleptic use in schizophrenia, and ii) research on positive (euphoric) subjective responses, mostly from substance abuse population. RESULTS: Research has been largely confined to neurochemical imaging of dopamine in the striatal complex, confirming earlier speculations that impaired or deficient dopaminergic function is associated with dysphoric responses, and enhanced activity is associated with euphoric or pleasurable responses. Cerebral blood flow, regional metabolic rate and glucose utilization studies provided preliminary clues to the putative neuroanatomical sites. CONCLUSION: Neuroimaging techniques added credibility to the study of subjective responses; however, further studies are required to identify the underlying anatomical and neurochemical interactions in order to enhance their applied value.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.007
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0040.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.005

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 head0.136
GPT teacher head0.466
Teacher spread0.330 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2005
Admission routes1
Has abstractyes

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