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Record W2128224240 · doi:10.1016/j.jalz.2011.05.134

IC‐P‐068: Declines in entorhinal cortex structural connectivity in amnestic mild cognitive impairment

2011· article· en· W2128224240 on OpenAlexaff
Jared Rowley, Dorothée Schoemaker, Sara Mohades, Vladimir Fonov, Ona Wu, Alain Dagher, Amir Shmuel, Serge Gauthier, Pedro Rosa‐Neto

Bibliographic record

VenueAlzheimer s & Dementia · 2011
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsMcGill Genome CentreMcGill UniversityCentre for Research on Brain Language and Music
Fundersnot available
KeywordsEntorhinal cortexVoxelProbabilistic logicArtificial intelligencePattern recognition (psychology)White matterHippocampusNuclear medicineComputer sciencePsychologyNeuroscienceMedicineMagnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex

Amnestic mild cognitive impairment (aMCI) is defined by objective memory deficits in non-demented individuals. Nearly 80% of these cases are carriers of Alzheimer's pathology. Since the entorhinal cortex (EC) is first affected by AD pathology, the integrity of white matter (WM) connections between the EC and the hippocampus is of interest. In this study, we intend to evaluate EC structural connectivity using probabilistic fiber tracking in order to expand on traditional diffusion measurements such as fractional anisotropy (FA). T1 (Siemens 3T; ADNI protocol), and diffusion (99 directions, b = 1000; 10 b = 0) images were sequentially acquired. FA maps were generated using FSL-FDT. EC-to-brain probabilistic connectivity maps were generated using an in-house pipeline based on FSL-FDT. In brief, (1) at each voxel, a probability distribution of fiber direction was generated; (2) single voxel level probabilistic maps were generated for every voxel of the seed region; (3) a regional probabilistic map is computed via max function of the single voxel level maps; (4) regional maps were resampled to the MNI152 space nonlinearly and blurred. Voxel-based Wilcoxon group statistics were obtained by comparing controls to individuals with aMCI. 19 aMCI and 15 age-gender matched controls completed the protocol. Figure A-C shows average EC probabilistic maps obtained in controls. These maps reproduced the well-known EC connectivity from gold-standard anatomical studies. T-statistical group differences of FA (hot-color) and Wilcoxon group difference of EC probabilistic fiber tracking method (spectral-color) are depicted in figures D-H. The left EC seed region reveal a cluster in the left inferior longitudinal fascicle (D,E). The right EC seed region revealed a statistical cluster in the angular bundle (G,H). FA group differences were prominent in the inferior longitudinal fascicle but did not overlap with the EC group differences.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.105
GPT teacher head0.363
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2011
Admission routes1
Has abstractyes

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