Behavioural Brain Research, Год журнала: 2025, Номер unknown, С. 115484 - 115484
Опубликована: Фев. 1, 2025
Язык: Английский
Behavioural Brain Research, Год журнала: 2025, Номер unknown, С. 115484 - 115484
Опубликована: Фев. 1, 2025
Язык: Английский
Neurobiology of Disease, Год журнала: 2024, Номер 199, С. 106578 - 106578
Опубликована: Июнь 25, 2024
Our objective was to explore the patterns of resting-state network (RSN) connectivity alterations and investigate how influences individual-level connections on cognition varied across clinical stages without assuming a constant relationship. 108 PD patients with continuum cognitive decline (PD-NC = 46, PD-MCI 43, PDD 19) 34 healthy controls (HCs) underwent functional MRI neuropsychological tests. Independent component analysis (ICA) graph theory analyses (GTA) were employed RSN connection changes. Additionally, stage-dependent differential impact communication performance examined using sparse varying coefficient modeling. Compared HCs, dorsal attention (DAN) sensorimotor (dSMN) central networks decreased in PD-NC stage, while lateral visual (LVN) emerged as dementia. cerebellum (CBN) increased stages. GTA demonstrated nodal metrics for DAN dSMN, coupled an increase CBN. Moreover, degree centrality (DC) values dSMN exhibited decline. findings suggest that progression impairment, LVN gradually transitions into core node reduced connectivity, enhancement CBN diminishes. Furthermore, non-linear relationship between DC RSNs indicates potential tailored interventions targeting specific
Язык: Английский
Процитировано
3Neuroradiology, Год журнала: 2024, Номер 66(11), С. 1941 - 1953
Опубликована: Июль 24, 2024
Язык: Английский
Процитировано
3npj Parkinson s Disease, Год журнала: 2024, Номер 10(1)
Опубликована: Ноя. 2, 2024
Cognitive impairment (CI) is common in α-synucleinopathies, i.e., Parkinson's disease, Lewy bodies dementia, and multiple system atrophy. We summarize data from systematic reviews/meta-analyses on neuroimaging, neurophysiology, biofluid genetic diagnostic/prognostic biomarkers of CI α-synucleinopathies. Diagnostic include atrophy/functional neuroimaging brain changes, abnormal cortical amyloid tau deposition, cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers, rhythm slowing, reduced cholinergic glutamatergic increased GABAergic activity, delayed P300 latency, plasma homocysteine cystatin C decreased vitamin B12 folate, CSF/serum albumin quotient, serum neurofilament light chain. Prognostic regional atrophy, CSF Val66Met polymorphism, apolipoprotein-E ε2 ε4 alleles. Some AD/amyloid/tau may diagnose/predict but single, validated lack. Future studies should large consortia, biobanks, multi-omics approach, artificial intelligence, machine learning to better reflect the complexity
Язык: Английский
Процитировано
3Progress in Biomedical Engineering, Год журнала: 2025, Номер 7(2), С. 022001 - 022001
Опубликована: Янв. 6, 2025
Traumatic brain injuries (TBIs) pose a significant health concern among the elderly population, influenced by age-related physiological changes and prevalence of neurodegenerative diseases. Understanding biomechanical dimensions TBIs in this demographic is vital for developing effective preventive strategies optimizing clinical management. This comprehensive review explores intricate biomechanics elderly, integrating medical aging studies, experimental head tissues, numerical simulations. Research reveals that global atrophy normal occurs at annual rates -0.2% to -0.5%. In contrast, diseases such as Alzheimer's, Parkinson's, multiple sclerosis are associated with significantly higher atrophy. These variations underscore importance considering differing patterns when evaluating elderly. Experimental studies further demonstrate mechanical properties critical tissues increase vulnerability injuries. Numerical simulations provide insights into response traumatic events, aiding injury prediction strategy development tailored Biomechanical analysis essential understanding mechanisms forms basis strategies. By incorporating local age-specific impact characteristics models, researchers can create targeted interventions reduce risk vulnerable populations. Future research should focus on refining these models data better predict outcomes enhance care. Advancements field promise improve risks population.
Язык: Английский
Процитировано
0Behavioural Brain Research, Год журнала: 2025, Номер unknown, С. 115484 - 115484
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
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