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Record W2801319423 · doi:10.4236/ojpsych.2018.82014

Normalizing the Neural Correlates of Binge-Eating Disorder with Lisdexamfetamine: A Case Report and Literature Review

2018· article· en· W2801319423 on OpenAlexaff
Leyla R. Brucar, Amna Hyder, C. Laird Birmingham

Bibliographic record

VenueOpen Journal of Psychiatry · 2018
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyBinge eatingAddictionBinge-eating disorderNeural correlates of consciousnessNeurosciencePsychiatryEating disordersBulimia nervosaCognition

Abstract

fetched live from OpenAlex

The brain regions associated with binge-eating disorder (BED) and those targeted by Lisdexamfetamine (LDX) overlap. The present paper reviews the psychobehavioural and neuropharmacological mechanisms at play in BED and compulsive eating behaviours, along with the mechanisms of action LDX is thought to play. We present one case of chronic BED and highlight the EEG scans pre- and post-LDX treatment. The normalization of the patient’s electroencephalogy (EEG) activity associated with BED after LDX supports theorized mechanisms of LDX action, further explaining its efficacy in treatment. A significant decrease in theta band power was observed in the patient after treatment with LDX. Specifically, this decrease was modulated by changes in the F8 electrode corresponding to the orbitofrontal cortex (OFC)—An area associated with deficits in inhibitory function, seen in addictions and BED. A better understanding of the psychobehavioural and neuropharmacological mechanisms involved in BED and LDX treatment has the potential to significantly enhance our knowledge of the underlying pathogenesis, potential prevention, and optimal treatment options for patients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.015
GPT teacher head0.328
Teacher spread0.314 · 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.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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