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Evaluation of Postural Sway in Post-stroke Patients by Dynamic Time Warping Clustering
This study instead evaluates the postural sway features of post-stroke patients using the clustering method of machine learning. First, we collected the stroke patients' multi-variable motion-capture standing-posture data and processed them into t s long data slots. Then, we clustered the t-s data slots into K cluster groups using the dynamic-time-warping partition-around-medoid (DTW-PAM) method. The DTW measures the similarity between two temporal sequences that may vary in speed, whereas PAM identifies the centroids for the DTW clustering method. Finally, we used a post-hoc test and found that the sway amplitudes of mark...
Source: Frontiers in Human Neuroscience - December 3, 2021 Category: Neuroscience Source Type: research

Posterior Fossa Syndrome After Cerebellar Stroke.
We report longitudinal clinical, neurocognitive and neuroradiological findings in a 71-year-old right-handed patient who developed PFS following a right cerebellar haemorrhage that was not surgically evacuated. During follow-up, functional neuroimaging was conducted by means of quantified Tc-99m-ECD SPECT studies. After a 10-day period of akinetic mutism, the clinical picture developed into cerebellar cognitive affective syndrome (CCAS) with reversion to a previously learnt accent, consistent with neurogenic foreign accent syndrome (FAS). No psychometric evidence for dementia was found. Quantified Tc-99m-ECD SPECT studies ...
Source: Cerebellum - April 11, 2013 Category: Neuroscience Authors: Mariën P, Verslegers L, Moens M, Dua G, Herregods P, Verhoeven J Tags: Cerebellum Source Type: research

Role of artificial intelligence and machine learning in the diagnosis of cerebrovascular disease
ConclusionThe implementation of AI and ML algorithms to supplement clinical practice has conferred a high degree of accuracy, efficiency, and expedited detection in the clinical and radiographic evaluation and management of ischemic and hemorrhagic strokes, AVMs, and aneurysms. Such algorithms have been explored for further purposes of prognostication for these conditions, with promising preliminary results. Further studies should evaluate the longitudinal implementation of such techniques into hospital networks and residency programs to supplement clinical practice, and the extent to which these techniques improve patient...
Source: Frontiers in Human Neuroscience - September 7, 2023 Category: Neuroscience Source Type: research

Recent highlights in periopeative neurological disorders, from bench to bedside
CNS Neurosci Ther. 2022 Feb 11. doi: 10.1111/cns.13771. Online ahead of print.ABSTRACTPerioperative neurological disorders are important causes of postoperative disability and even perioperative death, bringing a huge challenge to the vulnerable and increasing aging population. Perioperative neurological disorders usually contain ischemic stroke, hemorrhagic stroke, and neurocognitive disorders during the perioperative period. Although a few prevention and treatment strategies have been developed for each disorder, there is still a lack of effective treatments and the underlying mechanisms are far from well-understood. Thi...
Source: CNS Neuroscience and Therapeutics - February 11, 2022 Category: Neuroscience Authors: Yunlu Guo Peiying Li Source Type: research

Multiple beneficial effects of melanocortin MC4 receptor agonists in experimental neurodegenerative disorders: Therapeutic perspectives
Publication date: Available online 1 December 2016 Source:Progress in Neurobiology Author(s): Daniela Giuliani, Alessandra Ottani, Laura Neri, Davide Zaffe, Paolo Grieco, Jerzy Jochem, Gian Maria Cavallini, Anna Catania, Salvatore Guarini Melanocortin peptides induce neuroprotection in acute and chronic experimental neurodegenerative conditions. Melanocortins likewise counteract systemic responses to brain injuries. Furthermore, they promote neurogenesis by activating critical signaling pathways. Melanocortin-induced long-lasting improvement in synaptic activity and neurological performance, including learning and memory,...
Source: Progress in Neurobiology - December 1, 2016 Category: Neuroscience Source Type: research

Early History of Amnesia.
Authors: Langer KG Abstract Memory and forgetfulness have been viewed since antiquity from perspectives of physical, emotional, and spiritual states of well-being, and conceptualized philosophically. Numerous discussions of memory loss, or case reports, existed, but a fundamental advance in conceptualization of memory loss as a pathological clinical phenomenon originated when Sauvages classified "amnesia" as a medical disorder, in 1763. Originally, amnesia was recognized as a weakening or dissolution of memory, according to a taxonomy that ascribed known causes to the disorder. Etiologic factors included neurologic...
Source: Frontiers of Neurology and Neuroscience - June 22, 2019 Category: Neuroscience Tags: Front Neurol Neurosci Source Type: research