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Record W4380884247 · doi:10.1002/alz.068969

68969: Comparative Study Of Neuropsychology、MRI and <sup>18</sup>F‐FDG PET in Patients with Alzheimer’s Disease and Semantic Dementia

2023· article· en· W4380884247 on OpenAlexaboutno aff
Cong Ding, Jianwen Chen, Yu Zhan, Li Zhao, Chunbo Dong

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaBoston Naming TestSemantic dementiaMontreal Cognitive AssessmentMedicineMini–Mental State ExaminationClinical Dementia RatingNeuropsychologyAtrophyInternal medicineTemporal lobePsychologyDiseasePsychiatryCognitionFrontotemporal dementiaEpilepsy

Abstract

fetched live from OpenAlex

Abstract Background Confusion between Alzheimer’s disease (AD) and semantic dementia (SD) in early diagnosis is common, and most previous studies have been based on clinical diagnoses without a pathological diagnosis by biomarkers. Method 15 patients 18F‐AV 45 PET (+) with AD and 9 patients 18F‐AV 45 PET (‐) with SD enrolled. All patients underwent the following examinations: (1) Neuropsychological tests, including Mini‐Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), Boston Nomenclature Test (BNT), and Neuropsychiatric Scale table (NPI). (2) 3.0 head MRI examination, the imaging results were evaluated by MTA‐Scale, Koedam scale, and Kipps scale. (3) 18F‐FDG PET examination, PET images were quantitatively analyzed by Neuro Q software. Result ADL score increased in both groups, and the ADL score in the AD group was higher than that in the SD group (P = 0.035). BNT score decreased in both groups, but the BNT score in the SD group was lower than that in the AD group (P = 0.013). There were differences between the two groups in several psycho‐behavioral symptoms; delusions symptoms in the AD group were more prominent than those in the SD group (P = 0.009), and euphoria and disinhibition symptoms in the SD group were more pronounced than AD group (P = 0.015 and 0.015, respectively). The MRI atrophy rating scale showed that the left hippocampus, left frontal lobe, left anterior, and posterior temporal lobe atrophy in the SD group was more severe than that of the AD group (P = 0.018, 0.018, 0.022, and 0.044, respectively). Compared with the two groups of patients, the brain regions with significantly decreased metabolism in the AD group included the right inferior parietal lobule, right posterior cingulate gyrus, and left posterior cingulate gyrus (P = 0.037, 0.014, and 0.037, respectively); the brain regions with significantly decreased metabolism were left inferior frontal gyrus, left medial anterior temporal lobe, right medial anterior temporal lobe, left inferior lateral temporal lobe and left caudate nucleus (P = 0.017, 0.003, 0.037, 0.003, and 0.017, respectively). Conclusion Neuropsychology, brain structure, and brain metabolism aid in AD and SD differential diagnosis.

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)0.001
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.042
GPT teacher head0.334
Teacher spread0.292 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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