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Record W1992169766 · doi:10.1177/155005941004100206

The Contribution of Neuroimaging for the Study of Cognitive Deficits in Parkinson's Disease

2010· article· en· W1992169766 on OpenAlex
Oury Monchi, Kristina Martinu, Antonio P. Strafella

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

VenueClinical EEG and Neuroscience · 2010
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of TorontoUniversité de MontréalCentre for Addiction and Mental HealthInstitut Universitaire de Gériatrie de Montréal
FundersCanadian Institutes of Health ResearchParkinson Society Canada
KeywordsNeuroimagingNeuroscienceParkinson's diseaseCognitionFunctional magnetic resonance imagingPsychologyPositron emission tomographyMagnetic resonance imagingFunctional neuroimagingDopamineDiseaseMedicinePathologyRadiology

Abstract

fetched live from OpenAlex

The last few years have seen an increase in the number of studies using functional Magnetic Resonance Imaging (fMRI) along with receptor imaging and regional cerebral blood flow Positron Emission Tomography (PET) to understand the neurobiological underpinnings of cognitive deficits in Parkinson's disease (PD). These studies have shown evidence that the nigrostriatal degeneration solely cannot account for these deficits and that involvement of other neural systems such as the mesocortical dopamine may also play an important role. In this article, we provide a review of neuroimaging results regarding the role of possible compensatory activity, L-Dopa medication, and difference in genotypes on the cognitive deficits observed in PD. Finally, some future avenues for research are proposed.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.024
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
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 head0.053
GPT teacher head0.378
Teacher spread0.325 · 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