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Glial activation and nociceptive neuropeptide elevation associated with the development of chronic post-traumatic headache following repetitive blast exposure.
Neurobiol Pain
December 2024
Virginia Polytechnic Institute and State University. Department of Biomedical Engineering, 325 Stranger St., Blacksburg, VA 24060, United States.
Chronic headaches and pain are prevalent in those who are exposure to blast events, yet there is a gap in fundamental data that identifies the pathological mechanism for the chronification of pain. Blast-related post-traumatic headaches (PTH) are understudied and chronic pain behaviors in preclinical models can be vital to help elucidate PTH mechanisms. The descending pain modulatory system controls pain perception and involves specific brain regions such as the cortex, thalamus, pons, and medulla.
View Article and Find Full Text PDFTranscranial direct current stimulation for patients with walking difficulties caused by cerebral small vessel disease: a randomized controlled study.
Front Aging Neurosci
January 2025
Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Introduction: Cerebral small vessel disease (CSVD) is a chronic systemic degenerative disease affecting small blood vessels in the brain, leading to cognitive impairments. Transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique that applies low electrical currents to the scalp, shows promise in treating cognitive and movement disorders. However, further clinical evaluation is required to assess the long-term effects of tDCS on neuroplasticity and gait in patients with CSVD.
View Article and Find Full Text PDFAssociation of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus.
Front Neurol
January 2025
Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Objective: To investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well as the neural network mechanisms underlying cognitive impairment in T2DM.
Methods: A total of 150 T2DM patients and 130 healthy controls (HCs) were recruited in this study. The study used voxel- and surface-based morphometric analyses to investigate morphological alterations (including gray matter volume, cortical thickness, cortical surface area, and localized gyrus index) in the brains of T2DM patients.
Abnormal neurovascular coupling exists in patients with peritoneal dialysis and hemodialysis: evidence from a multi-mode MRI study.
Clin Kidney J
January 2025
Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, China.
Background: Neurovascular coupling (NVC), as indicated by a comprehensive analysis of the amplitude of low-frequency fluctuation (ALFF) and cerebral blood flow (CBF), provides mechanistic insights into neurological disorders. Patients undergoing peritoneal dialysis (PD) and hemodialysis (HD) often face cognitive impairment, the causes of which are not fully understood.
Methods: ALFF was derived from functional magnetic resonance imaging, and CBF was quantified using arterial spin labeling in a cohort comprising 58 patients with PD, 60 patients with HD and 62 healthy controls.
The challenge of long-term stroke outcome prediction and how statistical correlates do not imply predictive value.
Brain Commun
January 2025
Department of Neurology, Inselspital, University Hospital Bern, University of Bern, 3010 Bern, Switzerland.
Personalized prediction of stroke outcome using lesion imaging markers is still too imprecise to make a breakthrough in clinical practice. We performed a combined prediction and brain mapping study on topographic and connectomic lesion imaging data to evaluate (i) the relationship between lesion-deficit associations and their predictive value and (ii) the influence of time since stroke. In patients with first-ever ischaemic stroke, we first applied high-dimensional machine learning models on lesion topographies or structural disconnection data to model stroke severity (National Institutes of Health Stroke Scale 24 h/3 months) and functional outcome (modified Rankin Scale 3 months) in cross-validation.
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