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Regional homogeneity of primary insomnia with cognitive impairment: a blood oxygenation level dependent functional MRI study

2016· article· en· W3032640926 on OpenAlexaboutno aff
Xin Wei, Chuanming Li, Zhenhua Zhou

Bibliographic record

VenueZhonghua fangshexian yixue zazhi · 2016
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsParahippocampal gyrusMedicineMontreal Cognitive AssessmentPrimary InsomniaAudiologyVoxelNeuropsychologySuperior temporal gyrusCognitionTemporal lobePsychiatryInternal medicineFunctional magnetic resonance imagingCognitive impairmentSleep disorderRadiology

Abstract

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Objective To investigate the regional homogeneity (ReHo) changes of primary insomnia (PI) with cognitive impairment using resting-state fMRI. Methods Twenty-one patients with primary insomnia and cognitive impairment and 25 healthy volunteers matched with age, gender and education level were collected from Southwest Hospital of China from November 2014 to June 2015. Pittsburgh sleep quality index (PSQI), Montreal Cognitive Assessment (MoCA), Mini-mental State Examination (MMSE), Activity of Daily Living Scale (ADL), Hamilton depression scale (HAMD), and Hamilton Anxiety Scale (HAMA) were conducted to evaluate the sleep and cognitive conditions of all subjects. Independent sample t-test was performed to evaluate the significant difference of neuropsychology scores of two groups. ReHo of rs-fMRI were evaluated and compared between two groups using independent sample T-test, meanwhile, the partial correlation analysis was conducted in ReHo values of different brain regions and neuropsychology scores (age, gender and education level were regarded as covariates). Results Compared with normal controls, patients with primary insomnia and cognitive impairment showed significant higher PSQI score and lower MoCA and MMSE scores(P<0.05). The patient group also showed significant increased ReHo in the left medial temporal gyrus(54 voxels, t=3.14), left inferior temporal gyrus(76 voxels, t=4.80), right inferior temporal gyrus(84 voxels, t=4.30) and left parahippocampal gyrus(301 voxels, t=4.44) (P<0.05) and decreased ReHo in the left superior temporal lobe(79 voxels, t=-3.38), right fusiform gyrus(50 voxels, t=-3.17), right superior temporal gyrus(283 voxels, t=-5.34), right inferior frontal gyrus(56 voxels, t=-3.98), right anterior cingulate(233 voxels, t=-3.91), left parietal lobe angular gyrus(67 voxels, t=-3.27) and superior parietal lobule(65 voxels, t=-3.45) (P<0.05). The partial correlation analysis showed positive correlations between the ReHo values and PSQI scores of the left parahippocampal gyrus (R=0.771, P<0.01), negative correlations between the ReHo values and PSQI scores of the right anterior cingulate gyrus (R=-0.649, P<0.01) and positive correlations between the ReHo values and MoCA scores of the right anterior cingulate gyrus(R=0.555, P<0.05). Conclusions Patients with primary insomnia and cognitive impairment have ReHo alterations in various brain regions. The decreasing ReHo in the right anterior cingulate gyrus can reflect the level of sleep disorder and cognitive impairment, and increasing ReHo in the left parahippocampal gyrus can reflect the compensation of sleep disorders of PI. Key words: Sleep initiation and maintenance disorders; Magnetic resonance imaging; Cognition disorders

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 score0.004
Threshold uncertainty score0.008

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)0.0010.000

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 head0.031
GPT teacher head0.259
Teacher spread0.228 · 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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Citations1
Published2016
Admission routes1
Has abstractyes

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