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Record W2955900703 · doi:10.1016/j.nicl.2019.101924

Reduced brainstem functional connectivity in patients with peripheral autonomic failure

2019· article· en· W2955900703 on OpenAlexafffund
Jacquie Baker, Kurt Kimpinski

Bibliographic record

VenueNeuroImage Clinical · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsLondon Health Sciences CentreWestern University
FundersCanada First Research Excellence FundHealth Research Board
KeywordsBrainstemNeuroscienceCerebellumPutamenMedicinePosterior cingulateInsulaPure autonomic failureAnterior cingulate cortexInternal medicineCardiologyPsychologyOrthostatic vital signsCortex (anatomy)Blood pressureCognition

Abstract

fetched live from OpenAlex

-value:4.25) (p-FDR < 0.005). During Valsalva, controls showed significantly more connectivity between the brainstem and both the left anterior (cerebellum 4/5) and bilateral posterior cerebellum (cerebellar 9 and left cerebellar 6). Other cerebellar regions included brainstem-to-vermis. Other brainstem-to-cortical and subcortical regions included: bilateral putamen, posterior cingulate cortex (PCC), amygdala and medial prefrontal cortex. There was a significant negative correlation between the brainstem-cerebellar connectivity and severity of autonomic dysfunction (p < .01). During recovery phase of the Valsalva, controls had greater brainstem connectivity to the left thalamus (T-value:4.17); PCC (T-value:3.32); right putamen (T-value:3.28); right paracingulate gyrus (T-value:3.25) and left posterior cerebellum (C9) (T-value:3.21) (p-FDR < 0.05). The effect sizes for each brainstem connectivity during Valsalva and recovery ranged from moderate to strong. Patients with autonomic failure show reduced coupling between the brainstem and regions of the central autonomic network, including the cerebellum, insula, thalamus and cingulate cortices. Connectivity was associated with autonomic impairment. These findings may suggest impaired brainstem connectivity in patients with autonomic failure.

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 score0.010
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.265
Teacher spread0.248 · 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

Citations8
Published2019
Admission routes2
Has abstractyes

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