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Record W1870643104 · doi:10.1139/jpn.0741

Corpus callosum abnormalities in women with borderline personality disorder and comorbid attention-deficit hyperactivity disorder

2007· article· en· W1870643104 on OpenAlexvenueno aff
Nicolas Rüsch, Eileen Lüders, Klaus Lieb, Roland Zahn, Dieter Ebert, Paul M. Thompson, Arthur W. Toga, Ludger Tebartz van Elst

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2007
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCorpus callosumBorderline personality disorderPsychologyAttention deficit hyperactivity disorderMagnetic resonance imagingAudiologyNeurosciencePsychiatryMedicineRadiology

Abstract

fetched live from OpenAlex

OBJECTIVE: Decreased brain volumes in prefrontal, limbic and parietal areas have been found in women with borderline personality disorder (BPD). Recent models suggest impaired structural and functional connectivity in this condition. To investigate this, we studied the thickness of the corpus callosum, the largest connecting fibre bundle in the human brain. METHODS: We acquired magnetic resonance imaging scans from 20 healthy women and 20 women with BPD and comorbid attention-deficit hyperactivity disorder. A novel computational mesh-based method was applied to measure callosal thickness at high spatial resolution. RESULTS: Women with BPD had a thinner isthmus of the corpus callosum, compared with healthy women. In the patient group, a history of childhood sexual abuse was associated with a thinner posterior body of the corpus callosum. CONCLUSION: Interhemispheric structural connectivity involving parietal and temporal areas may be impaired in women with BPD and comorbid attention-deficit hyperactivity disorder.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.024
GPT teacher head0.321
Teacher spread0.297 · 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

Citations47
Published2007
Admission routes1
Has abstractyes

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