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Total 200 results found since Jan 2013.

A multifaceted continuing professional development intervention to move stroke rehabilitation guidelines into professional practice: A feasibility study.
Conclusion: This study demonstrated the feasibility of assessing the impact of a CPD intervention in stroke rehabilitation uptake and informed the design of a research program aimed at increasing the use of stroke evidence-based rehabilitation interventions. PMID: 31960782 [PubMed - as supplied by publisher]
Source: Topics in Stroke Rehabilitation - January 20, 2020 Category: Neurology Authors: Luconi F, Rochette A, Grad R, Hallé MC, Chin D, Habib B, Thomas A Tags: Top Stroke Rehabil Source Type: research

Disruption of Sonic Hedgehog Signaling Accelerates Age-Related Neurogenesis Decline and Abolishes Stroke-Induced Neurogenesis and Leads to Increased Anxiety Behavior in Stroke Mice
In this study, using conditional knockout (cKO) of SHH signaling receptorSmo gene in NSCs, we show a decreased neurogenesis at both SVZ and SGZ in young-adult mice and an accelerated depletion of neurogenic cells in the process of aging suggesting that SHH signaling is critical in maintaining neurogenesis during aging. Behavior studies revealed that compromised neurogenesis inSmo cKO mice leads to increased anxiety/depression-like behaviors without affecting general locomotor function or spatial and fear-related learning. Importantly, we also show that NSCs with a  cKO of SHH signaling abolishes stroke-induced neurogenesi...
Source: Translational Stroke Research - February 11, 2022 Category: Neurology Source Type: research

Cognition and major depression after frontal and cerebellar stroke (P7.133)
CONCLUSIONS: Results in individuals with frontal lobe CVA were consistent with previous studies showing associations between cognition and depression in other neurologic disease. Disconnection and disruption in brain regions involving both emotion regulation and cognition may explain these associations. Alternatively, or simultaneously, depression may transiently impair cognitive test performance after frontal lobe stroke. Study Supported by:Disclosure: Dr. Dulay has nothing to disclose. Dr. Agbayani has nothing to disclose. Dr. Gadhia has nothing to disclose. Dr. Lai has nothing to disclose. Dr. Volpi has nothing to discl...
Source: Neurology - April 8, 2015 Category: Neurology Authors: Dulay, M., Agbayani, K., Gadhia, R., Lai, J., Volpi, J., Chiu, D., Zhang, Y. J., Britz, G. Tags: Cerebrovascular Disease and Interventional Neurology: Stroke, Depression, and Anxiety Source Type: research

Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach
AbstractDue to the reactive medical approach applied to disease management, stroke has reached an epidemic scale worldwide. In 2019, the global stroke prevalence was 101.5 million people, wherefrom 77.2 million (about 76%) suffered from ischemic stroke; 20.7 and 8.4 million suffered from intracerebral and subarachnoid haemorrhage, respectively. Globally in the year 2019 — 3.3, 2.9 and 0.4 million individuals died of ischemic stroke, intracerebral and subarachnoid haemorrhage, respectively. During the last three decades, the absolute number of cases increased substantially. The current prevalence of stroke is 110 million ...
Source: EPMA Journal - November 17, 2022 Category: International Medicine & Public Health Source Type: research

Predicting new-onset post-stroke depression from real-world data using machine learning algorithm
DiscussionMachine learning models can provide as potential predictive tools for PSD and important factors are identified to alert clinicians for early detection of depression in high-risk stroke patients.
Source: Frontiers in Psychiatry - June 19, 2023 Category: Psychiatry Source Type: research

Stroke Rehabilitation
This article reviews and summarizes the key concepts related to poststroke recovery. Recent Findings: Good data now exist by which one can predict recovery, especially motor recovery, very soon after stroke onset. Recent trials have not demonstrated a clear benefit associated with very early initiation of rehabilitative therapy after stroke in terms of improvement in poststroke outcomes. However, growing evidence suggests that shorter and more frequent sessions of therapy can be safely started in the first 24 to 48 hours after a stroke. The optimal amount or dose of therapy for stroke remains undetermined, as more intensi...
Source: CONTINUUM: Lifelong Learning in Neurology - February 1, 2017 Category: Neurology Tags: Review Articles Source Type: research

The efficacy of problem solving therapy to reduce post stroke emotional distress in younger (18-65) stroke survivors.
CONCLUSION: The between-subject results suggest that there was no significant difference between those that received problem solving therapy and a waitlist control group between baseline and post-waitlist/post-therapy. The within-subject design suggests that problem solving therapy may be beneficial for younger stroke survivors when they are given some time to learn and implement the skills into their day to day life. However, additional research with a control group is required to investigate this further. This study provides limited evidence for the provision of support groups for younger stroke survivors post stroke, ho...
Source: Disability and Rehabilitation - November 26, 2017 Category: Rehabilitation Authors: Chalmers C, Leathem J, Bennett S, McNaughton H, Mahawish K Tags: Disabil Rehabil Source Type: research

Stringent public health measures during COVID-19 across ischemic stroke care systems: the potential impact of patient perceptions on health care-seeking behaviors
AbstractDecreases in acute stroke presentations have been reported during the coronavirus disease 2019 (COVID-19) pandemic surges. A recent study by Bojti et al. (GeroScience. 2021;43:2231 –2248) sought to understand the relationship of public health mandates in Hungary as they were implemented with acute ischemic stroke admissions and interventions during two separate COVID-19 waves. We sought to perform a similar analysis of changes in ischemic stroke care at two distinct medical institutions in the USA. Two separate institutions and systems of ischemic stroke care were evaluated through a regional comprehensive stroke...
Source: AGE - April 25, 2022 Category: Geriatrics Source Type: research

Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses
Brain Behav Immun. 2023 Aug 7:S0889-1591(23)00225-8. doi: 10.1016/j.bbi.2023.08.002. Online ahead of print.ABSTRACTPost-stroke depression is common, long-lasting and associated with severe morbidity and death, but mechanisms are not well-understood. We used a broad proteomics panel and developed a machine learning algorithm to determine whether plasma protein data can predict mood in people with chronic stroke, and to identify proteins and pathways associated with mood. We used Olink to measure 1,196 plasma proteins in 85 participants aged 25 and older who were between 5 months and 9 years after ischemic stroke. Mood was a...
Source: Brain, Behavior, and Immunity - August 9, 2023 Category: Neurology Authors: Neda H Bidoki Kristy A Zera Huda Nassar Lauren L Drag Michael Mlynash Elizabeth Osborn Muhith Musabbir Da Eun K Kim Maria Paula Mendez Maarten G Lansberg Nima Aghaeepour Marion S Buckwalter Source Type: research

Body, coping and self-identity. A qualitative 5-year follow-up study of stroke.
Conclusion: Stroke survivors suffered considerable ongoing and changing difficulties in relation to disability, self-perception and to coping with a new life. This continuous process of change could be seen to drain their energy. The study shows that many survivors live a more home-centred life with fewer social relations and less active participation in their community. This can entail the risk of depression and loneliness. The study also shows, however, that adopting an optimistic approach to life can lead to continued learning about abilities and limitations, to the development of new skills and to the fashioning of a n...
Source: Disability and Rehabilitation - April 30, 2013 Category: Rehabilitation Authors: Pallesen H Tags: Disabil Rehabil Source Type: research

Sensors, Vol. 23, Pages 7946: Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
In this study, we aimed to develop a machine learning (ML) model to predict the risk of PSAMO. We retrospectively studied 1780 patients with stroke who were divided into PSAMO vs. no PSAMO groups based on results of validated depression and anxiety questionnaires. The features collected included demographic and sociological data, quality of life scores, stroke-related information, medical and medication history, and comorbidities. Recursive feature elimination was used to select features to input in parallel to eight ML algorithms to train and test the model. Bayesian optimization was used for hyperparameter tuning. Shaple...
Source: Sensors - September 17, 2023 Category: Biotechnology Authors: Chien Wei Oei Eddie Yin Kwee Ng Matthew Hok Shan Ng Ru-San Tan Yam Meng Chan Lai Gwen Chan Udyavara Rajendra Acharya Tags: Communication Source Type: research

Ischemic Stroke in Young Adults
This article reviews current knowledge on epidemiology, risk factors and causes, diagnostic considerations, management, and prognosis of ischemic stroke in young adults (those 55 years old and younger). RECENT FINDINGS The incidence of ischemic stroke in young adults has been increasing since the 1980s, which has occurred in parallel with increasing prevalence of vascular risk factors and substance abuse among the younger population. Young adults have a considerably wider range of risk factors than older patients, including age-specific factors such as pregnancy/puerperium and oral contraceptive use. Behavioral risk fac...
Source: CONTINUUM: Lifelong Learning in Neurology - April 1, 2020 Category: Neurology Tags: REVIEW ARTICLES Source Type: research

Identification of a miRNA –mRNA regulatory network for post-stroke depression: a machine-learning approach
ConclusionThe study highlighted gene signatures for PSD with three genes (SPATA2, ZNF208, and YTHDC1) and four upstream miRNAs (miR-6883-5p, miR-6873-3p, miR-4776-3p, and miR-6738-3p). These biomarkers could further our understanding of the pathogenesis of PSD.
Source: Frontiers in Neurology - July 17, 2023 Category: Neurology Source Type: research