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Preservation of episodic musical memory in a pianist with Alzheimer disease

2006· article· en· W2119952926 on OpenAlex
Luis Fornazzari, Tonya Castle, Shailesh Nadkarni, M. Ambrose, Débora Marques de Miranda, Nina Apanasiewicz, Forman Phillips

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.

Bibliographic record

VenueNeurology · 2006
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychologyPerceptionDementiaTimbreCognitive psychologyEpisodic memoryCognitionMusicalDiseaseNeuroscienceMedicineVisual arts

Abstract

fetched live from OpenAlex

Creativity is distinct from other brain activities. Little is known about the neural networks of music perception and musical memory.1 However, there are reports that suggest that they may be subserved by distinct neural networks. This distinction is further explored through studying music perception in all its complexities, including pitch, timbre, rhythm, and harmony. Each of these perceptions may be differentially lateralized and further differentiated among musicians and non-musicians.2 In this clinical report we explore these distinctions in a patient with Alzheimer disease (AD). A right-handed professional pianist with a family history of AD was evaluated for possible dementia. At age 58, she began to develop memory impairment, disorientation, and difficulties in visuospatial and executive functions. A year later she presented with psychotic depression and delusional paranoid ideation. When seen at our clinic, both her Mini-Mental State Examination (MMSE) …

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score1.000

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 head0.031
GPT teacher head0.304
Teacher spread0.272 · 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