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Record W2463958355 · doi:10.1016/j.jalz.2015.06.381

P1‐182: Pattern of aberrant brain activity in patients with mild cognitive impairment and lacunar infarction: A resting‐state functional MRI study

2015· article· en· W2463958355 on OpenAlexaboutno aff
Zuzana Nedelská, Ling Ni, Renyuan Liu, Zhenyu Yin, Hui Zhao, Jakub Hort, Fei Zhou, Wenbo Wu, Xin Zhang, Ming Li, Haiping Yu, Bin Zhu, Yun Xu, Bing Zhang

Bibliographic record

VenueAlzheimer s & Dementia · 2015
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCardiologyMedicineResting state fMRIPosterior cingulateInternal medicineDementiaPrecuneusMagnetic resonance imagingAudiologyMontreal Cognitive AssessmentFunctional magnetic resonance imagingNeuroimagingPsychologyPsychiatryRadiology

Abstract

fetched live from OpenAlex

Lacunar infarctions (LI) have been associated with a cognitive decline and an increased risk of dementia. However, the specific pattern of spontaneous brain activity in patients with mild cognitive impairment (MCI) and concomintant silent lacunar infarction, remains unclear. Our objective was to assess the differences in spontaneous brain activity in MCI patients with silent LI versus those without LI using resting-state functional magnetic resonance imaging (rs-fMRI). We recruited consecutive patients from dementia clinic in Nanjing, China, who met Petersen's criteria for amnestic MCI. For comparison, we included cognitively normal subjects (CN). All underwent structural and rs-fMR imaging at 3T. Presence of LI in basal ganglia, thalami, capsulae and deep white matter was ascertained using fluid attenuation inversion recovery images and University of Edinburgh Neuroimaging Stroke Scale by two independent raters blinded to diagnoses. In total, 22 MCI patients with LI (MCI-LI), 26 MCI patients without LI (MCI-no LI) and 28 CN without LI were included. Functional volumes were post-processed using regional homogeneity (ReHo) and the amplitude of low-frequency fluctuation (ALFF) methods. Differences in ALFF and ReHo values were assessed using analysis of covariance. Between group voxel-wise comparisons using t-test were conducted, controlling for age, sex, years of education and modulated grey matter maps obtained from T1 segmentation. Differences were considered significant when p<0.05, AlphaSim corrected. ALFF and ReHo were correlated with global cognitive scores. Compared with CN, the MCI-LI patients had lower ReHo and ALFF in precuneus/cuneus (PCC), insula and medial frontal gyrus (MFG). Compared to MCI-no LI, MCI-LI patients had lower ALFF in superior-medial frontal gyrus (SFG), MFG, anterior cingulate cortex (ACC) and lower ReHo in PCC and insula. Conversely, MCI-no LI patients had greater ReHo and ALFF in the hippocampi and parahippocampal gyri, SFG, MFG, ACC, and greater ALFF in left caudate. Montreal Cognitive Assessment score correlated with ALFF in MFG (r=0.43, p=0.045) in MCI-LI patients.

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 score0.002
Threshold uncertainty score0.004

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 integrity0.0010.000
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 head0.053
GPT teacher head0.272
Teacher spread0.220 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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