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Record W1595671597 · doi:10.3233/jad-140312

Psychosis in Frontotemporal Dementia

2014· review· en· W1595671597 on OpenAlexaff
Shunichiro Shinagawa, Shinichiro Nakajima, Eric Plitman, Ariel Graff‐Guerrero, Masaru Mimura, Kazuhiko Nakayama, Bruce L. Miller

Bibliographic record

VenueJournal of Alzheimer s Disease · 2014
Typereview
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Institute on Aging
KeywordsPsychosisFrontotemporal dementiaC9orf72Schizophrenia (object-oriented programming)PsychiatryPsychologyDementiaClinical psychologyMedicineDiseasePathology

Abstract

fetched live from OpenAlex

Frontotemporal dementia (FTD) is a neurodegenerative disorder, associated with a progressive decline in behavior caused by focal degeneration of the frontal lobes. Psychosis was an underestimated symptom of FTD, however, recent genetic research has revealed a high prevalence of psychosis in certain genetic groups. The primary objective of this work is to review the literature on psychosis in FTD and to propose directions for future research, with reference to findings on psychosis in schizophrenia. A search was performed using PubMed, MEDLINE, and EMBASE. Search terms included "frontotemporal dementia", "psychosis", "schizophreni*", "psychotic symptoms", "hallucinations", and "delusions", and it identified 122 articles. Results revealed: 1) prevalence is approximately 10%, 2) TDP-43 type B and FUS pathologies might have relatively high frequency of psychosis, 3) psychosis in FTD is higher with genetic mutations of C9ORF72 and GRN, 4) imaging researches did not achieve conclusive results, and 5) no treatment for psychosis in FTD is currently available. A limitation of this systematic review is that it includes a small number of studies specifically examining psychosis in FTD. It is suggested that a possible overlap exists between FTD and schizophrenia. This potential overlap indicates a vulnerability to psychosis due to brain systems and pathways shared by these disorders.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.101
GPT teacher head0.413
Teacher spread0.312 · 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.

Study designOther design
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

Citations78
Published2014
Admission routes1
Has abstractyes

Explore more

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