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Record W2014996960 · doi:10.1159/000102160

Visuomotor Integration Is Compromised in Alzheimer’s Disease Patients Reaching for Remembered Targets

2007· article· en· W2014996960 on OpenAlexaff
William J. Tippett, Adam Krajewski, Lauren E. Sergio

Bibliographic record

VenueEuropean Neurology · 2007
Typearticle
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsHumber River Regional HospitalYork University
Fundersnot available
KeywordsPsychologyTask (project management)Affect (linguistics)Alzheimer's diseaseAudiologyPhysical medicine and rehabilitationCognitive psychologyAction (physics)DiseaseNeuroscienceCommunicationMedicine

Abstract

fetched live from OpenAlex

This study examined the ability of neurologically healthy individuals and individuals with Alzheimer's disease (AD) to successfully complete procedures involving short-term spatial visuomotor memory tasks, and tasks involving increasingly complex visuomotor transformations. Participants made sliding finger movements over a clear touch-sensitive screen on two separate spatial planes (vertical and horizontal), to visually constant and remembered target positions. Significant main effects were observed between participant groups on reaction time and movement time measures. As well, significant changes in reaction time and movement time were observed within the patient group over the different of any experimental procedures. In addition, as task increased in complexity significant increases in errors were observed in the AD group. Overall, the results reveal that AD patients show substantial declines in their ability to process and integrate visual information to produce motor responses. Therefore, we believe that this psychophysical research provides further evidence that AD, even early stages of AD, can affect anatomical regions supporting vision for action.

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)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.047
GPT teacher head0.279
Teacher spread0.232 · 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

Citations52
Published2007
Admission routes1
Has abstractyes

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