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Record W2609830048 · doi:10.1093/sleepj/zsx050.731

0732 NIGHTMARE DISTRESS IS NEGATIVELY CORRELATED WITH REGIONAL CEREBRAL BLOOD FLOW IN FRONTAL AREAS DURING AN IAPS PICTURE-VIEWING TASK

2017· article· en· W2609830048 on OpenAlexafffundabout
Louis‐Philippe Marquis, Sarah-Hélène Julien, Cloé Blanchette‐Carrière, Andrée‐Ann Baril, Michèle Desjardins, Michelle Carr, Tyna Paquette, Jean‐Paul Soucy, Jacques Montplaisir, Toré Nielsen

Bibliographic record

VenueSLEEP · 2017
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsMontreal Neurological Institute and HospitalUniversité de MontréalHôpital du Sacré-Cœur de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyPrefrontal cortexCerebral blood flowNightmareAmygdalaAnterior cingulate cortexInsulaPosterior cingulateNeuroscienceAudiologyInternal medicineMedicineCortex (anatomy)PsychiatryCognition

Abstract

fetched live from OpenAlex

Research has shown that nightmare-related distress (NMD) may better explain the association between nightmares (NM) and psychopathology than NM frequency, but its neurophysiological correlates remain unknown. As part of a brain imaging project exploring the neural correlates of NM in frequent NM sufferers, we investigated if NMD is related to activity in regions hypothesized to be involved in NM production (Nielsen & Levin, 2007). We predicted NMD would correlate with reduced activity (i.e. regional cerebral blood flow) in bilateral prefrontal areas known to down-regulate fear processes governed by the amygdala, i.e., anterior cingulate and medial prefrontal cortices. We also expected NMD to be correlated with reduced activity in the hippocampus and increased activity in the amygdala. We used high resolution 99m-Tc-ECD SPECT imaging to assess regional cerebral blood flow (rCBF) in 21 frequent NM sufferers (NM: 24.9 ± 4.5 yrs (18 W)) during the viewing of negative pictures from the International Affective Picture System (IAPS). We correlated Nightmare Distress Questionnaire (NMDQ) scores with rCBF using a significance threshold of p < .005 (uncorrected) and a cluster threshold of k > 100. Significant negative correlations were observed between NMDQ scores and rCBF in bilateral insula (t = 4.1 and 4.37), bilateral anterior cingulate cortex (t = 4.49 and 5.42), left precentral gyrus (t = 3.54), left medial prefrontal cortex (t = 4.63), and bilateral putamen (t = 4.55 and 4.37). No correlations were observed with the amygdala or hippocampus and no positive correlations were found. Findings partially support our hypothesis. Reduced rCBF in these prefrontal regions involved in affect regulation could reflect a cross-state emotion regulation deficit, which also leads to more distress during dreaming. Our results also reveal reduced activity in regions for which a regulatory role in affective response during dreaming is unclear (insula, putamen), but for which research has demonstrated anatomical and/or functional alterations in PTSD. Supported by research grants from the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Fonds de recherche Québec-Santé (FRQS).

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 score0.003
Threshold uncertainty score0.010

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 integrity0.0000.000
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 head0.033
GPT teacher head0.276
Teacher spread0.243 · 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
Published2017
Admission routes3
Has abstractyes

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