MétaCan
Menu
Back to cohort

Clinical and neuroimaging characterization of posterior cortical atrophy

2015· article· en· W3031902479 on OpenAlexaboutno aff
Zhihong Shi, Li Cai, Shuai Liu, Ying Wang, Tong Han, Shilin Liu, Yuying Zhou, Xiaodan Wang, Xinping Wang, Shuo Gao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicBrain Tumor Detection and Classification
Canadian institutionsnot available
Fundersnot available
KeywordsPosterior cortical atrophyAtrophyPrecuneusPsychologyPosterior cingulateTemporal lobeCortex (anatomy)MedicineDementiaPathologyNeuroscienceCognition

Abstract

fetched live from OpenAlex

Objective To investigate the clinical and image characteristics in patients with posterior cortical atrophy (PCA). Methods Totally 5 patients with PCA and 6 patients with typical Alzheimer's disease (tAD) were selected in this study. Cognitive function was measured by the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MCA) and Clinical Dementia Rating (CDR). Brain magnetic resonance imaging was conducted to evaluate the ventricular enlargement, and posterior atrophy and medial temporal lobe atrophy. 18F- Fluorodeoxyglucose (FDG) and 11C-Pittsburg Compound B (PiB) PET cerebral imaging were performed. The above indictors were compared between PCA and AD patients. Results The most common symptoms at onset were visual space impairment, visual agnosia, apraxia, disorientation, agrapha, and acalculia in PCA patients. PCA subjects had marked impairment in visuospatial tasks, writing and calculation on neuropsychological testing. Posterior cortical atrophy were greater in PCA patients than in tAD patients (P L) in PCA, but more diffused cortical decreased in typical AD. Occipical cortex(BA18, 19, 37) was the most obvious rCMRGlu decreasing place in PCA relative to tAD. The voxel-based automatic quantitative analysis showed that the mean PIB standardized uptake value ratio (SUVR) was higher in the inferior parietal lobe, lateral temporal cortex, middle frontal gyrus, medial prefrontal cortex, posterior cingulate cortex and precuneus, occipital lobe, supplementary motor area, and striatum in PCA and typical AD patients as compared with controls (1.6-2.6 vs. 1.1-1.2, P 0.05). Conclusions PCA has visual spatial impairment, apraxia, parietal cortex atrophy and hypometabolism in right temporo-parieto-occipital region as the main characteristics, and amyloid deposition in cortex in PCA patients is similar to that in typical AD patients. Key words: Atrophy; Cerebral cortex; Alzheimer disease; Positron-emission tomography; Pittsburgh compound B; Fluorodeoxyglucose F18

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.153

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.097
GPT teacher head0.330
Teacher spread0.233 · 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 designBench or experimental
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicBrain Tumor Detection and ClassificationFrench-language works237,207