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Record W4408120914 · doi:10.21037/qims-24-1212

White matter integrity of default mode network after a 3-month aerobic dance program in patients with amnestic mild cognitive impairment: a secondary analysis of a randomized clinical trial

2025· article· en· W4408120914 on OpenAlexaboutno aff
Han Wu, Yi Zhu, Xi Yang, Jiahuan Li, Fei Meng, Ming Qi, Hongyuan Ding, Shui Tian, Tong Wang

Bibliographic record

VenueQuantitative Imaging in Medicine and Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialDefault mode networkCognitive impairmentJigsawMedicineCognitionWhite matterDanceHyperintensityPhysical therapyPhysical medicine and rehabilitationPsychologyPsychiatryInternal medicineMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Background: Exercise is an effective non-pharmacological strategy to enhance cognitive function in individuals with mild cognitive impairment (MCI). Our previous studies confirmed that aerobic dance can increase the amplitude of low-frequency fluctuations (LFF) in bilateral fronto-temporal, entorhinal, anterior cingulate, and para-hippocampal cortices. However, its effects on structural connections remain unclear. The present study comprised a secondary analysis of a randomized clinical trial and aimed to examine the impact of a 3-month aerobic dance program on white matter integrity of default mode network (DMN) in older adults with amnestic MCI, as assessed by magnetic resonance imaging (MRI). Methods: A total of 112 patients with memory decline were recruited, 38 of whom completed cognitive assessments and magnetic resonance scans and were randomized to the exercise group (n=19) or the control group (n=19). The exercise group received 3 months of aerobic dance and health education, whereas the control group only received health education. All participants underwent cognitive assessments and MRI scans at baseline and after the 3-month intervention. A series of neuropsychological assessments, including Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Wechsler Memory Scale-Revised Logical Memory (WMS-RLM), Trail Making Test Part A&B (TMT-A&B), Symbol Digit Modalities Test (SDMT), and Forward and Backward Digit Span Task (DST) Chinese version, were used to assess the participants' global cognitive function, memory function, and executive function. Structural connections of the hippocampus-hub temporal network were analyzed using the network-based statistic. Results: Finally, 16 participants in each group were included in the statistics and analysis. There was no statistical difference in cognitive functions at 3 months in the control group compared with those at baseline. However, the cognitive functions of the exercise group improved significantly after 3 months of aerobic dance, including MMSE (P=0.006), MoCA (P=0.009), WMS-RLM (P=0.005), TMT-A (P=0.007), and DST (P=0.025). Moreover, the exercise group had significantly improved WMS-RLM (P=0.003) compared to the control group after 3 months of intervention. In addition, they showed significant increases in structural connections within the DMN, including the structural connection between hippocampus and para-hippocampus, hippocampus and fusiform gyrus, hippocampus and middle temporal gyrus, and precuneus and middle temporal gyrus. The structural connection between DMN and supplementary motor area was also significantly increased in the exercise group, correlating positively with MMSE (R=0.31, P=0.04) and negatively with TMT-A (R=-0.40, P=0.011), respectively. Conclusions: A 3-month aerobic dance program may enhance the structural connections in the hippocampus-hub temporal network and improve episodic memory and global cognition in older adults with amnestic MCI.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.103
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.395
Teacher spread0.366 · 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 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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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