
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 5, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 5, 2024
Language: Английский
Journal of Neuroradiology, Journal Year: 2025, Volume and Issue: 52(3), P. 101322 - 101322
Published: Jan. 31, 2025
Language: Английский
Citations
3Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 16
Published: Jan. 7, 2025
Cerebral small vessel disease (CSVD) is a common factor in age-related diseases such as stroke and dementia, about half of dementia patients worldwide are caused by CSVD. CSVD-related cognitive impairment (CSVD-CI) affects more elderly people, resulting economic losses burdens on families society. In recent years, circulating biomarkers have made breakthroughs played an increasingly important role the diagnosis, progression, prognosis CSVD-associated impairment, expected to be applied early clinical detection, treatment with cerebral disease. Through systematic review meta-analysis, this study aimed assess relationship between factors associated disease, especially possibility becoming potential for diagnosis. Articles published before November 2023 were searched four databases, PubMed, Web Science, Embase, Cochrane Library, identify all relevant studies reporting markers Twenty-nine articles out 2,911 finalized study. We meta-analyzed 2 or that jointly considered CSVD-CI summarized total 4 possible biomarkers: homocysteine (Hcy), high-sensitivity C-reactive protein (hs-CRP), lipoprotein-associated phospholipase A2 (Lp-PLA2), neurofilament light chain (NfL). The results revealed group had significantly higher levels Hcy hs-CRP than those CSVD-without group, whereas there was no statistically significant difference Lp-PLA2 NfL two groups. Therefore, Hcy, may
Language: Английский
Citations
0Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(2)
Published: Jan. 21, 2025
ABSTRACT Apathy is a common neuropsychiatric symptom following stroke, characterized by reduced goal‐directed behavior. The reward decision network (RDN), which plays crucial role in regulating behaviors, closely associated with apathy. However, the relationship between poststroke apathy (PSA) and RDN dysfunction remains unclear due to heterogeneity, confounding effect of depression individual variability lesion impacts. This study aims dissect heterogeneity PSA explore link lesion‐induced damage PSA. We prospectively recruited 207 patients acute ischemic infarction 60 demographically matched healthy controls. Participants underwent neuroimaging longitudinal assessments. To characterize we employed multivariate analysis clustering algorithms based on whole‐brain functional connectivity clinical assessments classify into different biotypes. embedded each patient's structural connectome atlas obtain white matter (WM) disconnection maps. On this basis, WM scores were calculated for brain region quantify damage. XGBoost model predict biotypes scores, comparing performance models focusing RDN‐specific versus disconnection. Additionally, explored patterns across critical regions. identified four unique trajectories neurobiological underpinnings. Biotype 4 was persistent depressive symptoms. 2 showed 3 non‐apathetic. 1 exhibited delayed‐onset models, when focused disconnection, performed significantly better predicting compared ( t (164.66) = 8.871, p < 0.001). Analysis revealed that more extensive regions, had pattern anterior cingulate cortex (61) 1.874, 0.032), orbitofrontal (53)= 1.827, 0.036). dissected demonstrated factor variability. found disconnections can lead apathy, respectively. Furthermore, our findings not only has distinct pathogenic mechanisms, but also shares substrates depression.
Language: Английский
Citations
0Alzheimer s & Dementia, Journal Year: 2025, Volume and Issue: 21(4)
Published: April 1, 2025
Abstract Cerebral small vessel disease (SVD) is recognized as a major vascular contributor to cognitive decline, ultimately leading dementia and stroke. While the pathogenesis of SVD remains unclear, emerging evidence suggests that waste clearance involving perivascular space (PVS) – also known glymphatic system dysfunction may play role. Among radiological markers, increased presence dilated PVS marker disruption. Recently developed neuroimaging methods have been proposed indirect measures brain fluid dynamics, but they currently lack formal validation. Here, we provide comprehensive overview latest advancements for assessing including function in SVD. We review mechanisms by which might contribute Finally, argue robust, multimodal, longitudinal studies are essential understanding (involving PVS) establishing diagnostic gold standard. Highlights The majority not visible on MRI, making it crucial understand how why become dilated. origin disruption be multifactorial. BBB likely affect each other, forming vicious cycle, promoting further amyloid beta accumulation. Yet their direct association humans over time studied. Comparative can aid standardization function.
Language: Английский
Citations
0Alzheimer s & Dementia, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 16, 2024
Abstract INTRODUCTION Oculomotor and gait dysfunctions are closely associated with cognition. However, oculo‐gait patterns their correlation cognition in cerebral small vessel disease (CSVD) remain unclear. METHODS Patients CSVD from a hospital‐based cohort ( n = 194) individuals presumed early community‐based 319) were included. Oculo‐gait measured using the artificial intelligence (AI) –assisted ‘EyeKnow’ eye‐tracking ‘ReadyGo’ motor evaluation systems. Multivariable linear logistic regression models employed to investigate association between parameters RESULTS Anti‐saccade accuracy, stride velocity, swing velocity significantly both patients community dwellers CSVD, could identify cognitive impairment moderate accuracy (area under curve [AUC]: hospital cohort, 0.787; 0.810) after adjusting for age education. DISCUSSION The of features (anti‐saccade velocity) may help screen CSVD. Highlights (lower anti‐saccade (CSVD). Logistic model integrating features, age, education level moderately distinguished status Artificial intelligence–assisted oculomotor measurements provide quick accurate settings.
Language: Английский
Citations
1Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 5, 2024
Language: Английский
Citations
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