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Record W2534167574 · doi:10.1016/j.jalz.2016.06.122

IC‐P‐093: Deformation Based Morphometry Study of Retired CFL Football Players

2016· article· en· W2534167574 on OpenAlexaffabout
Mahsa Dadar, Karen Misquitta, Apameh Tarazi, Ahmed Ebraheem, Namita Multani, Mozhgan Khodadadi, Ruma Goswami, Richard Wennberg, Charles H. Tator, Robin Green, Brenda Colella, Karen D. Davis, David J. Mikulis, D. Louis Collins, Maria Carmela Tartaglia

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsUniversity of TorontoOccupational Cancer Research CentreMontreal Neurological Institute and HospitalUniversity Health NetworkMcGill University
Fundersnot available
KeywordsCohortFootballPopulationNuclear medicineAmerican footballMagnetic resonance imagingMedicinePsychologyInternal medicineCartographyRadiologyGeography

Abstract

fetched live from OpenAlex

Repeated concussions in former athletes of contact sports have been associated with cognitive deficits and abnormalities on MRI. We aimed to study structural changes associated with aging in a cohort of retired professional football players in comparison with a non-athlete population. T1-weighted MRI scans of 38 retired Canadian Football League (ex-CFL) players and 21 age-matched healthy controls were pre-processed using our standard pipeline: image intensity non-uniformity correction, intensity range normalization, and stereotaxic registration. The images were then non-linearly warped to an average template brain of 152 healthy young individuals (MNI-ICBM-152). Deformation Based Morphometry (DBM) was performed using MNI MINC tools. Voxel-wise deformation maps were then correlated with age and corrected for multiple comparisons using False Discovery Rate (FDR), thresholded at 0.05. The results show significant correlations between volume change and aging in ex-CFL subjects; i.e. enlargement in ventricular regions (r=0.67,p<0.002) and shrinkage in subcortical areas in the left and right hippocampi (r=-0.66,p<0.002; r=-0.68,p<0.002 respectively) as well as the left and right thalami (r=-0.66,p<0.002; r=-0.68,p<0.002 respectively). A weaker but similar relationship was observed in the control group, possibly due to a smaller population size (see Table 1). Figures 1.a,c show correlation coefficients overlaid on ICBM template for ventricular regions for the ex-CFL and control groups. Figure 1.b shows the significant FDR corrected p-value map for the ex-CFL cohort. Figures 2.a-c show similar images for subcortical regions. The color-coded bars in Figures 1.a-c and 2.a-c represent correlation coefficients values: warm colors correspond to regions of enlargement with age i.e. ventricles; cold colors correspond to areas negatively correlated with age i.e. hippocampi and thalami. Figure 2.b shows the significant regions after FDR correction in the ex-CFL. Table 1 shows correlation coefficients and FDR corrected p-values for the two groups for areas indicated by arrows. The uncorrected p-values for the control group did not survive FDR correction. Our results revealed extensive changes associated with age in the ex-CFL population. The changes predominantly involved volume decreases in the hippocampi and thalami, and volume increases in the ventricles. DBM may be a sensitive measure for detecting focal brain atrophy in patients that have suffered multiple concussions. Correlation coefficient for the ex-CFL group Significant FDR corrected p values for the ex-CFL group Correlation coefficient for the control group Correlation coefficient for the ex-CFL group Significant FDR corrected p values for the ex-CFL group Correlation coefficient for the control group

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.442

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 head0.019
GPT teacher head0.235
Teacher spread0.216 · 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 designOther design
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

Citations1
Published2016
Admission routes2
Has abstractyes

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