ArticleFrontiers in aging neuroscience2021
The Predictive Value of Dynamic Intrinsic Local Metrics in Transient Ischemic Attack.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Machine learning in the diagnosis and prognosis of transient ischaemic attack: a systematic review.BMC neurology · 2026Pooled it
- Systematic Review and Meta-Analyses of Word Production Abilities in Dysfunction of the Basal Ganglia: Stroke, Small Vessel Disease, Parkinson's Disease, and Huntington's Disease.Neuropsychology review · 2024Pooled it
- HDAC3 Epigenetic Suppression by Electroacupuncture Restores AMPA Receptor Function and Synaptic Plasticity in Alzheimer's Disease Models.Neuromolecular medicine · 2025Article
- Percentage Amplitude of Fluctuation Alterations in Multiple Frequency Bands in Patients With Transient Ischemic Attack: A Resting-State fMRI Study.Neural plasticity · 2025Article
- Altered static and dynamic spontaneous brain activity in patients with dysthyroid optic neuropathy: a resting-state fMRI study.Frontiers in neuroscience · 2024Article
- Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes.Frontiers in aging neuroscience · 2023Article
- Traditional Chinese Manual Therapy (Tuina) reshape the function of default mode network in patients with lumbar disc herniation.Frontiers in neuroscience · 2023Article
- Disrupted dynamic amplitude of low-frequency fluctuations in patients with active thyroid-associated ophthalmopathy.Frontiers in cell and developmental biology · 2023Article
- Machine learning analysis reveals aberrant dynamic changes in amplitude of low-frequency fluctuations among patients with retinal detachment.Frontiers in neuroscience · 2023Article
- Dynamic regional homogeneity alterations and cognitive impairment in patients with moderate and severe obstructive sleep apnea.Frontiers in neuroscience · 2022Article
- Altered Effective Connectivity of the Primary Motor Cortex in Transient Ischemic Attack.Neural plasticity · 2022Article
- The White Matter Functional Abnormalities in Patients with Transient Ischemic Attack: A Reinforcement Learning Approach.Neural plasticity · 2022Article
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTransient ischemic attack (TIA) is known as "small stroke." However, the diagnosis of TIA is currently difficult due to the transient symptoms. Therefore, objective and reliable biomarkers are urgently needed in clinical practice.
objectiveThe purpose of this study was to investigate whether dynamic alterations in resting-state local metrics could differentiate patients with TIA from healthy controls (HCs) using the support-vector machine (SVM) classification method.
methodsBy analyzing resting-state functional MRI (rs-fMRI) data from 48 patients with and 41 demographically matched HCs, we compared the group differences in three dynamic local metrics: dynamic amplitude of low-frequency fluctuation (d-ALFF), dynamic fractional amplitude of low-frequency fluctuation (d-fALFF), and dynamic regional homogeneity (d-ReHo). Furthermore, we selected the observed alterations in three dynamic local metrics as classification features to distinguish patients with TIA from HCs through SVM classifier.
resultsWe found that TIA was associated with disruptions in dynamic local intrinsic brain activities. Compared with HCs, the patients with TIA exhibited increased d-fALFF, d-fALFF, and d-ReHo in vermis, right calcarine, right middle temporal gyrus, opercular part of right inferior frontal gyrus, left calcarine, left occipital, and left temporal and cerebellum. These alternations in the dynamic local metrics exhibited an accuracy of 80.90%, sensitivity of 77.08%, specificity of 85.37%, precision of 86.05%, and area under curve of 0.8501 for distinguishing the patients from HCs.
conclusionOur findings may provide important evidence for understanding the neuropathology underlying TIA and strong support for the hypothesis that these local metrics have potential value in clinical diagnosis.
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