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Record W2367985872 · doi:10.1016/j.eurpsy.2016.01.902

Psychopathology of the self and the altered cortical midline structures in psychiatric disorders – a marriage?

2016· article· en· W2367985872 on OpenAlexaff
Georg Northoff

Bibliographic record

VenueEuropean Psychiatry · 2016
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychopathologySchizophrenia (object-oriented programming)PsychologyDepression (economics)PsychiatryDeclarationSelfPsychosisClinical psychologyNeuroscience

Abstract

fetched live from OpenAlex

The self is central in our mental life and disturbances of the self-figure most prominently in psychopathological symptoms. The cortical midline structures (CMS) have been associated with self-related processing and its changes in schizophrenia, depression and other psychiatric disorders. However, the exact neuronal mechanisms underlying self-related processing in CMS and its changes in psychiatric disorders remain unclear. Especially the neural overlap between high resting state activity levels and self-related processing in CMS is rather puzzling. I present recent data on the rest-self overlap in healthy subjects showing that resting state activity in CMS can predict self-relatedness. The implications for psychological symptoms as in depression and schizophrenia are pointed out. Disclosure of interest The author has not supplied his declaration of competing interest.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.004
Scholarly communication0.0010.004
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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