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Record W2164324830 · doi:10.1016/j.jalz.2014.05.503

P1‐263: ABERRANT FUNCTIONAL CONNECTIVITY OF THE THALAMUS IN A ONE‐YEAR FOLLOW‐UP STUDY OF MILD COGNITIVE IMPAIRMENT

2014· article· en· W2164324830 on OpenAlexaboutno aff
Bo Zhou, Xi Zhang, Yane Guo, Pan Wang, Yanchang Shang

Bibliographic record

VenueAlzheimer s & Dementia · 2014
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThalamusNeuropsychologyResting state fMRIDefault mode networkFunctional connectivityPsychologyMontreal Cognitive AssessmentFunctional magnetic resonance imagingCognitionNeuroscienceCognitive impairmentAudiologyMedicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Most mild cognitive impairment (MCI) patients shared the same pathophysiology and similar symptoms with Alzheimer's disease (AD). Hence, it is great important to fully understand the clinical and pathophysiological changes in the MCI stage for the earlier diagnosis of AD. However, there were only few studies aiming at the longitudinal alteration of functional connectivity in MCI till now. The thalamus occupies the central position of human brain and was also considered to be central to the cortical functions. Moreover, the thalamus has been repeatedly found to be involved in some important resting-state networks, such as the default mode network, which is closely related to episodic memory. Increasing evidences have confirmed the significant volume loss and disrupted connectivity pattern of the thalamus in AD/MCI subjects. The present study is to investigate alteration of thalamic functional connectivity in patients with MCI during a one year follow-up. Neuropsychological tests and thalamic functional connectivity based on resting state functional magnetic resonance imaging (fMRI) were evaluated in 13 MCI subjects (age 74.5±8.7years, gender 8M/5F) both at the baseline and one year later. After mean 13 ± 2.2 months, one MCI subject converted to mild AD. The Montreal cognitive assessment (MoCA) score decreased significantly over the period (23.7±2.5 versus 21.7±4.7, p = 0.04), while the mini-mental state examination (MMSE) score decreased numerically in the follow-up (27.3±1.8 versus 25.8±3.4, p =0.10). Compared to the baseline, the MCI patients demonstrated decreased functional connectivity between the left thalamus and left inferior parietal cortex (IPC), left putamen and right cerebellar posterior lobe one year later. Decreased functional connectivity was also detected between the right thalamus and left putamen in the follow-up MCI. We suggest that the MoCA can be used as an effective tool in longitudinal studies of MCI. The impaired functional connection between the thalamus and various brain regions which are involved with higher cognition functions may be associated with the progression of illness in the MCI subjects. These results provided new evidence for the longitudinal alteration of the functional abnormality in the MCI. The brain regions exhibiting significant differences in functional connectivity of the bilateral thalamus in MCI patients. The color bar represents the strength of functional connectivity (p<0.01, cluster size >30 voxels). The individually longitudinal comparisons in the identified brain regions which showed altered functional connectivity in follow-up in the MCI patients. A represents the regions showed altered functional connectivity with the left thalamus. B represents the regions showed altered functional connectivity with the right thalamus. P value represents the significant between the baseline and the follow-up by using pair two-sample t-test.

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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.069
GPT teacher head0.272
Teacher spread0.203 · 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
Published2014
Admission routes1
Has abstractyes

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