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Record W4395464873 · doi:10.1002/mds.29804

White Matter Microstructural Underpinnings of Mild Behavioral Impairment in Parkinson's Disease

2024· article· en· W4395464873 on OpenAlexafffund
Oury Monchi, Gabriel David Pinilla-Monsalve, Hannes Almgren, Maryam Ghahremani, Mekale Kibreab, Nadia Maarouf, Iris Kathol, Arnaud Boré, François Rheault, Maxime Descoteaux, Zahinoor Ismail

Bibliographic record

VenueMovement Disorders · 2024
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversité de SherbrookeHotchkiss Brain InstituteSouth Health CampusInstitut Universitaire de Gériatrie de MontréalUniversité de MontréalUniversity of Calgary
FundersInstitute of Neurosciences, Mental Health and AddictionCanadian Institutes of Health ResearchUniversité de Montréal
KeywordsWhite matterParkinson's diseaseNeurosciencePsychologyCentral nervous system diseaseMedicineDiseaseMagnetic resonance imagingPathologyRadiology

Abstract

fetched live from OpenAlex

Abstract Background Patients with Parkinson's disease (PD) experience changes in behavior, personality, and cognition that can manifest even in the initial stages of the disease. Previous studies have suggested that mild behavioral impairment (MBI) should be considered an early marker of cognitive decline. However, the precise neurostructural underpinnings of MBI in early‐ to mid‐stage PD remain poorly understood. Objective The aim was to explore the changes in white matter microstructure linked to MBI and mild cognitive impairment (MCI) in early‐ to mid‐stage PD using diffusion magnetic resonance imaging (dMRI). Methods A total of 91 PD patients and 36 healthy participants were recruited and underwent anatomical MRI and dMRI, a comprehensive neuropsychological battery, and the completion of the Mild Behavioral Impairment‐Checklist. Metrics of white matter integrity included tissue fractional anisotropy (FAt) and radial diffusivity (RDt), free water (FW), and fixel‐based apparent fiber density (AFD). Results The connection between the left amygdala and the putamen was disrupted when comparing PD patients with MBI (PD‐MBI) to PD‐non‐MBI, as evidenced by increased RDt ( η 2 = 0.09, P = 0.004) and both decreased AFD ( η 2 = 0.05, P = 0.048) and FAt ( η 2 = 0.12, P = 0.014). Compared to controls, PD patients with both MBI and MCI demonstrated increased FW for the connection between the left orbitofrontal gyrus (OrG) and the hippocampus ( η 2 = 0.22, P = 0.008), augmented RDt between the right OrG and the amygdala ( η 2 = 0.14, P = 0.008), and increased RDt ( η 2 = 0.25, P = 0.028) with decreased AFD ( η 2 = 0.10, P = 0.046) between the right OrG and the caudate nucleus. Conclusion MBI is associated with abnormal microstructure of connections involving the orbitofrontal cortex, putamen, and amygdala. To our knowledge, this is the first assessment of the white matter microstructure in PD‐MBI using dMRI. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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 score0.006
Threshold uncertainty score0.998

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)0.0010.000

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 head0.011
GPT teacher head0.272
Teacher spread0.261 · 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

Citations12
Published2024
Admission routes2
Has abstractyes

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