MétaCan
Menu
Back to cohort
Record W6889087906 · doi:10.25384/sage.c.6420385.v1

Hippocampal Connectivity With the Default Mode Network Is Linked to Hippocampal Volume in the Clinical High Risk for Psychosis Syndrome and Healthy Individuals

2023· other· en· W6889087906 on OpenAlexaff

Bibliographic record

VenueSage Journals Data · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHippocampal formationDefault mode networkFunctional connectivityTemporal lobePsychosisHippocampusSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

Reduced hippocampal volume is an established brain morphological feature of psychiatric conditions. Hippocampal volume is associated with brain connectivity in humans and nonhuman animals, and altered connectivity is associated with risk for psychiatric illness. Associations between hippocampal volume and connectivity are poorly characterized in humans, especially in phases of psychiatric illness that precede disease onset. This study examined associations between hippocampal volume and hippocampal functional connectivity during rest in 141 healthy control participants and 248 individuals at risk for psychosis. Significant inverse associations between hippocampal volume and hippocampal functional connectivity with the inferior parietal lobe (IPL) and thalamus were observed. Select associations between hippocampal functional connectivity and hippocampal volume were moderated by diagnostic group. Significant moderation results shifted from implicating the IPL to the temporal pole after we excluded participants on antipsychotic medication. Considered together, these findings imply that hippocampal functional connectivity with the temporoparietal junction, within a specialized subsystem of the default mode network, is sensitive to hippocampal volume.

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)0.025
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0050.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.088
GPT teacher head0.395
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueSage Journals DataFrench-language works237,207