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Record W3176194399 · doi:10.3389/fnins.2021.690896

Association of Cerebral Ischemia With Corneal Nerve Loss and Brain Atrophy in MCI and Dementia

2021· article· en· W3176194399 on OpenAlexaff
Georgios Ponirakis, Ahmed Elsotouhy, Hanadi Al Hamad, Surjith Vattoth, Ioannis N. Petropoulos, Adnan Khan, Hoda Gad, Fatima Al‐Khayat, Mani Chandran, Marwan Ramadan, Marwa Elorrabi, Masharig Gadelseed, Rhia Tosino, Priya V. Gawhale, Maryam Alobaidi, Shafi Khan, Pravija Manikoth, Yasmin H. M. Abdelrahim, Noushad Thodi, Hamad Almuhannadi, Salma Al‐Mohannadi, Fatema AlMarri, Murtaza Qazi, Ahmed Own, Ziyad Mahfoud, Ashfaq Shuaib, Rayaz A. Malik

Bibliographic record

VenueFrontiers in Neuroscience · 2021
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsUniversity of Alberta
FundersWeill Cornell Medicine - QatarQatar National Research FundFonds National de la Recherche LuxembourgQatar Foundation
KeywordsDementiaMedicineAtrophyIschemiaCerebral atrophyAssociation (psychology)NeurosciencePathologyPsychologyCardiologyDisease

Abstract

fetched live from OpenAlex

Introduction This study assessed the association of cerebral ischemia with neurodegeneration in mild cognitive impairment (MCI) and dementia. Methods Subjects with MCI, dementia and controls underwent assessment of cognitive function, severity of brain ischemia, MRI brain volumetry and corneal confocal microscopy. Results Of 63 subjects with MCI ( n = 44) and dementia ( n = 19), 11 had no ischemia, 32 had subcortical ischemia and 20 had both subcortical and cortical ischemia. Brain volume and corneal nerve measures were comparable between subjects with subcortical ischemia and no ischemia. However, subjects with subcortical and cortical ischemia had a lower hippocampal volume ( P < 0.01), corneal nerve fiber length ( P < 0.05) and larger ventricular volume ( P < 0.05) compared to those with subcortical ischemia and lower corneal nerve fiber density ( P < 0.05) compared to those without ischemia. Discussion Cerebral ischemia was associated with cognitive impairment, brain atrophy and corneal nerve loss in MCI and dementia.

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 score0.015
Threshold uncertainty score0.232

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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

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