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Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease.
CONCLUSIONS: The authors have developed a CAD system with all its ingredients being optimized for a better detection of WMHs of all size, which shows performance close to an independent reader. PMID: 27908171 [PubMed - in process]
Source: Medical Physics - November 30, 2016 Category: Physics Authors: Ghafoorian M, Karssemeijer N, van Uden IW, de Leeuw FE, Heskes T, Marchiori E, Platel B Tags: Med Phys Source Type: research

Brain Cells Of 'Villainous Character' Might Explain Diseases Like Parkinson's
This reporting is brought to you by HuffPost’s health and science platform, The Scope. Like us on Facebook and Twitter and tell us your story: scopestories@huffingtonpost.com.  -- This feed and its contents are the property of The Huffington Post, and use is subject to our terms. It may be used for personal consumption, but may not be distributed on a website.
Source: Healthy Living - The Huffington Post - January 25, 2017 Category: Consumer Health News Source Type: news

CNS Summit 2016 Abstracts of Poster Presentations
Conclusion: Subjects with acutely exacerbated schizophrenia who were eligible for discharge from the inpatient setting and who completed the study demonstrated high rates of adherence using the mobile AI application. Subjects were able to easily use the technology. Use of the platform did not appear to increase the dropout rate. This study demonstrates the feasibility of using AI platforms to ensure high adherence, provide reliable adherence data, and rapidly detect nonadherence in CNS trials. Disclosures/funding: Adam Hanina and Laura Shafner are employees of AiCure, New York, New York, and consultants to Takeda. Xinxin D...
Source: Innovations in Clinical Neuroscience - February 1, 2017 Category: Neuroscience Authors: ICN Online Editor Tags: Assessment Tools biomarkers Cognition Current Issue Devices Drug Development Evaluations Genetics Medical Issues Neurology Patient Assessment Proceedings Psychiatry Psychopharmacology Scales Supplements Technology Trial M Source Type: research

Music-based interventions in neurological rehabilitation
Publication date: Available online 26 June 2017 Source:The Lancet Neurology Author(s): Aleksi J Sihvonen, Teppo Särkämö, Vera Leo, Mari Tervaniemi, Eckart Altenmüller, Seppo Soinila During the past ten years, an increasing number of controlled studies have assessed the potential rehabilitative effects of music-based interventions, such as music listening, singing, or playing an instrument, in several neurological diseases. Although the number of studies and extent of available evidence is greatest in stroke and dementia, there is also evidence for the effects of music-based interventions on supporting cognition, motor...
Source: The Lancet Neurology - June 28, 2017 Category: Neurology Source Type: research

miR-149 reduces while let-7 elevates ASIC1a expression in vitro.
Authors: Jiang YQ, Zha XM Abstract Acid-sensing ion channel 1a (ASIC1a) is the key subunit that determines acid-activated currents in neurons. ASIC1a is important for neural plasticity, learning, and for multiple neurological diseases, including stroke, multiple sclerosis, and traumatic injuries. These findings underline the importance for better defining mechanisms that regulate ASIC1a expression. During the past decade, microRNA has emerged as one important group of regulatory molecules in controlling protein expression. However, little is known about whether microRNA regulates ASIC1a. Here, we assessed several m...
Source: International Journal of Physiology, Pathophysiology and Pharmacology - December 7, 2017 Category: Physiology Tags: Int J Physiol Pathophysiol Pharmacol Source Type: research

Machine learning studies on major brain diseases: 5-year trends of 2014 –2018
AbstractIn the recent 5  years (2014–2018), there has been growing interest in the use of machine learning (ML) techniques to explore image diagnosis and prognosis of therapeutic lesion changes within the area of neuroradiology. However, to date, the majority of research trend and current status have not been clearly il luminated in the neuroradiology field. More than 1000 papers have been published during the past 5 years on subject classification and prediction focused on multiple brain disorders. We provide a survey of 209 papers in this field with a focus on top ten active areas of research; i.e., Alzheimer’ s di...
Source: Japanese Journal of Radiology - November 29, 2018 Category: Radiology Source Type: research

Medical News Today: What causes left sided facial numbness?
Possible causes of left sided facial numbness include stroke, multiple sclerosis, and Bell ’s palsy. Learn more about left sided facial numbness here.
Source: Health News from Medical News Today - October 2, 2019 Category: Consumer Health News Tags: Neurology / Neuroscience Source Type: news

Diverse Applications of Artificial Intelligence in Neuroradiology
Recent advances in artificial intelligence (AI) and deep learning (DL) hold promise to augment neuroimaging diagnosis for patients with brain tumors and stroke. Here, the authors review the diverse landscape of emerging neuroimaging applications of AI, including workflow optimization, lesion segmentation, and precision education. Given the many modalities used in diagnosing neurologic diseases, AI may be deployed to integrate across modalities (MR imaging, computed tomography, PET, electroencephalography, clinical and laboratory findings), facilitate crosstalk among specialists, and potentially improve diagnosis in patient...
Source: Neuroimaging Clinics - September 16, 2020 Category: Radiology Authors: Michael Tran Duong, Andreas M. Rauschecker, Suyash Mohan Source Type: research

Efficacy of non-invasive brain stimulation on cognitive functioning in brain disorders: a meta-analysis.
CONCLUSIONS: Our results revealed that both TMS and tDCS elicit a small trans-diagnostic effect on working memory, tDCS also improved attention/vigilance across diagnoses. Effects on the other domains were not significant. Observed ES were small, yet even slight cognitive improvements may facilitate daily functioning. While NIBS can be a well-tolerated treatment, its effects appear domain specific and should be applied only for realistic indications (i.e. to induce a small improvement in working memory or attention). PMID: 33070785 [PubMed - as supplied by publisher]
Source: Psychological Medicine - October 19, 2020 Category: Psychiatry Authors: Begemann MJ, Brand BA, Ćurčić-Blake B, Aleman A, Sommer IE Tags: Psychol Med Source Type: research

At the Heart of Neurological Dimensionality: Cross-Nosological and Multimodal Cardiac Interoceptive Deficits
Conclusions Our result suggests a diffuse pattern of interoceptive alterations across neurological conditions, highlighting their potential role as dimensional, transdiagnostic markers.
Source: Psychosomatic Medicine - November 1, 2020 Category: Psychiatry & Psychology Tags: ORIGINAL ARTICLES Source Type: research

New Analyses Suggest Favorable Results for STELARA ® (ustekinumab) When Used as a First-Line Therapy for Bio-Naïve Patients with Moderately to Severely Active Crohn’s Disease and Ulcerative Colitis
SPRING HOUSE, PENNSYLVANIA, October 25, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced data from two new analyses of STELARA® (ustekinumab) for the treatment of adults with moderately to severely active Crohn’s disease (CD) and ulcerative colitis (UC).1,2 In a modelled analysisa focused on treatment sequencing using data from randomized controlled trials, network meta-analysis and literature, results showed patient time spent in clinical remission or response was highest when STELARA was used as a first-line advanced therapy for bio-naïve patients with moderately to severely acti...
Source: Johnson and Johnson - October 25, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

Analysing the effect of robotic gait on lower extremity muscles and classification by using deep learning
In this study, EMG signals in GMA, GME, ILP, BF, VM, MG, TA muscles were recorded simultaneously with a different electrode placement during robotic gait for the first time in literature and then a location that prevents a phase shift was presented. The classification performance has also been increased by removing 26 different attribute parameters like time, frequency and statistics from the signals instead of gait studies with a maximum of 12-16 traits extraction. The extracted features were classified with the approaches Multilayer Perceptron Neural Networks (MLP), Support Vector Machines (SVM), K-Nearest Neighbourhood ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - December 7, 2021 Category: Biomedical Engineering Authors: İsmail Çalıkuşu Esma Uzunhisarc ıklı U ğur Fidan Mehmet Bahad ır Çetinkaya Source Type: research

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