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Record W2423712451 · doi:10.18632/oncotarget.10091

White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study

2016· article· en· W2423712451 on OpenAlex
Xuanyu Li, Zhenchao Tang, Yu Sun, Jie Tian, Zhenyu Liu, Ying Han

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDiffusion MRIWhite matterFractional anisotropyMedicineBeijingCognitive declineNeurologyMontreal Cognitive AssessmentChinaCognitive impairmentDiseaseInternal medicineDementiaPsychiatryMagnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex

// Xuan-yu Li 1, * , Zhen-chao Tang 3, * , Yu Sun 1 , Jie Tian 2 , Zhen-yu Liu 2 , Ying Han 1, 4 1 Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, 100053, China 2 Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China 3 School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Shandong Province, 264209, China 4 Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China * These authors contributed equally to this work and should be considered co-first authors Correspondence to: Ying Han, email: 13621011941@163.com Zhen-yu Liu, email: zhenyu.liu@ia.ac.cn Keywords: subjective cognitive decline, diffusion tensor imaging, preclinical Alzheimer’s disease, white matter, tract-based spatial statistics Received: November 09, 2015     Accepted: May 17, 2016     Published: June 15, 2016 ABSTRACT Subjective cognitive decline (SCD) may be an at-risk stage of Alzheimer’s disease (AD) occurring prior to amnestic mild cognitive impairment (aMCI). To examine white matter (WM) defects in SCD, diffusion images from 27 SCD (age=65.3±8.0), 35 aMCI (age=69.2±8.6) and 25 AD patients (age=68.3±9.4) and 37 normal controls (NC) (age=65.1±6.8) were compared using Tract-Based Spatial Statistics (TBSS). WM impairments common to the three patient groups were extracted, and fractional anisotropy (FA) values were averaged in each group. As compared to NC subjects, SCD patients displayed widespread WM alterations represented by decreased FA (p<0.05), increased mean diffusivity (MD; p<0.05), and increased radial diffusivity (RD; p<0.05). In addition, localized WM alterations showed increased axial diffusivity (AxD; p<0.05) similar to what was observed in aMCI and AD patients (p<0.05). In the shared WM impairment tracts, SCD patients had FA values between the NC group and the other two patient groups. In the NC and SCD groups, the AVLT-delayed recall score correlated with higher AxD (r=-0.333, p=0.045), MD (r=-0.351, p=0.03) and RD (r=-0.353, p=0.025). In both the aMCI and AD groups the diffusion parameters were highly correlated with cognitive scores. Our study suggests that SCD patients present with widespread WM changes, which may contribute to the early memory decline they experience.

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.

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 score0.021
Threshold uncertainty score0.350

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 head0.030
GPT teacher head0.348
Teacher spread0.318 · 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