Abstract TP457: Brain Functional Alterations in Patients With Leukoaraiosis Associated Mild Cognitive Impairment
Bibliographic record
Abstract
Background and aims: Recent studies demonstrated that a signal change of functional magnetic resonance imaging (fMRI) in certain brain areas during the resting state is a significant marker in patients with mild cognitive impairment (MCI). However, the research of resting-state fMRI (rs-fMRI) on leukoaraiosis (LA) associated MCI is scarce. The aim of this study was to investigate differences of the rs-fMRI default network between patients with LA-associated MCI and normal subjects, and provide functional imaging evidence of LA-associated MCI during early stages of the disease. Method: All subjects were outpatients or thier residents of the Department of Neurology of the Beijing Tiantan Hospital. They were divided into MCI group and control group according to their cognitive function assessing by the Hamilton Depression Scale, Clinical Dementia Rating (CDR), Mini Mental State Exam and Montreal Cognitive Assessment. Demographic information was recorded. Brain MRI characteristics were assessed using the Fazekas scale. The independent components of fMRI data were analyzed by fMRI tool box. The experimental data and confounding factors were analyzed by General Liner Model. Results: A total of 31 right-handed patients with LA-associated MCI and 27 right-handed healthy control subjects were included. The active areas participating in the resting state for LA-associated MCI group were mostly consistent with those of the control group. Compared with controls, the LA-associated MCI patients exhibited significantly lower blood oxygen level-dependent (BOLD) signals in the left anterior cingulate cortex (P=0.021) and right parahippocampal gyrus (P=0.032). Whereas higher BOLD signals during the resting state in LA-associated MCI patients were observed in the left caudate nucleus (P=0.015), right frontal lobe (P=0.004), superior temporal gyrus and inferior parietal gyrus (P=0.001), No significant difference was shown in the posterior cingulate cortex and precuneus (P=0.138). Conclusion: Our findings demonstrated that the discriminating functional activation in specific brain areas could be identified in patients with LA-associated MCI, which might be used as an useful neuroimaging evidence for the early recognition of these patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".