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Record W2165951527 · doi:10.1016/j.jalz.2013.05.1508

P4–118: Neuroanatomical specificity of psychosis, delusions and hallucinations in Alzheimer's disease

2013· article· en· W2165951527 on OpenAlexaff
Stéphane Poulin, Simon Ducharme, Bradford Dickerson

Bibliographic record

VenueAlzheimer s & Dementia · 2013
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPsychosisDelusionPsychologyNeuroimagingDementiaPsychiatryDiseaseAlzheimer's diseaseSchizophrenia (object-oriented programming)CognitionClinical psychologyMedicinePathology

Abstract

fetched live from OpenAlex

Psychotic symptoms have a major impact on Alzheimer's disease (AD) and have been associated with faster cognitive decline, caregiver burden and institutionalization. Thus far neuroimaging studies (total number of studies=19) of the neural basis of psychotic symptoms in AD have produced inconsistent results. This inconsistency may in part be explained by differences in the symptoms being studied-while some studies have investigated psychosis as a single entity, others have focused on delusions or hallucinations in isolation. In previous studies, 3 different types of contrast have been employed: 1) psychosis vs no psychosis - PnP 2) delusions vs no delusions - DnD 3) hallucinations vs no hallucinations - HnH. The objective of the present study was to test whether the independent variable definition might explain results heterogeneity. More specifically the objective was to verify whether these different contrasts (PnP, DnD, HnH) produce different cortical correlates of psychosis in a large sample of mild AD. Subjects were all mild AD from the Alzheimer's Disease Neuroimaging Initiative. Delusions and hallucinations were assessed at study entry with the Neuropsychiatric Inventory - caregiver version. Psychosis was defined as the presence of delusions and/or hallucinations. The neuropsychiatric status of control subjects was verified at the 12-month follow-up visit to validate the absence of psychosis, delusions and hallucinations. Using advanced morphometric techniques, three sets of statistical surface maps were generated, one for each of the possible contrast (PnP, DnD, HnH) and compared. The different contrasts were associated with different patterns of cortical atrophy. Delusions were associated with a large area of atrophy of the anterior portion of the left dorsolateral prefrontal cortex. Psychosis was associated with similar although smaller areas of atrophy. Hallucinations were associated with right ventromedial/anterior cingulate and left anterior cingulate atrophy, but with relative preservation of areas of bilateral parietal and occipital cortices. In this study, psychosis, delusions and hallucinations in subjects with mild AD were associated with different patterns of cortical atrophy. This study suggests that a more specific characterization of psychosis may be critical to identify its underlying neuronal circuits.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.312
Teacher spread0.284 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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