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Record W2910571127 · doi:10.3389/fnagi.2018.00436

Relationship Between DTI Metrics and Cognitive Function in Alzheimer’s Disease

2019· article· en· W2910571127 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFrontiers in Aging Neuroscience · 2019
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsNova Scotia Health AuthorityDalhousie UniversityUniversity of ManitobaUniversity of CalgaryUniversity of Victoria
FundersCanadian Institutes of Health ResearchNational Institutes of HealthGenentechIXICOH. Lundbeck A/SServierAlberta InnovatesEisaiNorthern California Institute for Research and EducationPfizerNovartis Pharmaceuticals CorporationF. Hoffmann-La RocheUniversity of Southern CaliforniaBiogenEli Lilly and CompanyBristol-Myers SquibbUniversity of California, San DiegoBioClinicaU.S. Department of DefenseMeso Scale DiagnosticsNational Institute on AgingAlzheimer's Association
KeywordsFractional anisotropyDiffusion MRIWhite matterPsychologyExecutive dysfunctionEpisodic memoryNeuropsychologyNeuroimagingCognitionMemory impairmentNeuroscienceAudiologyMedicineMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Introduction: Alzheimer’s disease (AD) is a neurodegenerative disorder with a clinical presentation characterized by memory impairment and executive dysfunction. We previously demonstrated significant alterations in white matter microstructural metrics in AD compared to healthy older adults. We aimed to further investigate the relationship between white matter microstructure in AD and cognitive function, including memory and executive function. Methods: DTI and neuropsychological data were downloaded from the Alzheimer’s Disease Neuroimaging Initiative database for 49 individuals with AD and 48 matched healthy older adults. The relationship between whole-brain fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AxD), radial diffusivity (RD), and composite scores of memory and executive function were examined. We considered voxel-wise relationships using Tract-Based Spatial Statistics. Results: Individuals with AD had lower composite scores on tests of memory and executive function, as well as disrupted white matter integrity (low FA/high MD/AxD/RD) relative to healthy older adults in widespread regions, including the hippocampus. When the AD and healthy older adult groups were combined, we found significant relationships between DTI metrics (FA/MD/AxD/RD) and memory scores across widespread regions of the brain, including the medial temporal regions. We also found significant relationships between DTI metrics (FA/MD/AxD/RD) and executive function in widespread regions, including the frontal areas in the combined group. However, when the groups were examined separately, no significant relationships were found between DTI metrics and memory performance for either group. Further, we did not find any significant relationships between DTI metrics and executive function in the AD group, but we observed significant relationships between FA/RD, and executive function in healthy older adults. Conclusions: White matter integrity is disrupted in AD. In a mixed sample of AD and healthy older adults, associations between measures of white matter microstructure and memory and executive test performance were evident. However, no significant linear relationship between the degree of white matter disruption and level of cognitive functioning (memory and executive abilities) was found in those with AD. Future longitudinal studies of the relations between DTI metrics and cognitive function in AD are required to determine whether DTI has potential to measure progression of AD and/or treatment efficacy.

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 score0.097
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.106
GPT teacher head0.357
Teacher spread0.251 · 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