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Total 286 results found since Jan 2013.

MMP‐9 in translation: from molecule to brain physiology, pathology, and therapy
This article is part of the 60th Anniversary special issue. MMP‐9, through cleavage of specific target proteins, plays a major role in synaptic plasticity and neuroinflammation, and by those virtues contributes to brain physiology and a host of neurological and psychiatric disorders. This article is part of the 60th Anniversary special issue.
Source: Journal of Neurochemistry - March 21, 2016 Category: Neuroscience Authors: Behnam Vafadari, Ahmad Salamian, Leszek Kaczmarek Tags: Bench to Bedside Source Type: research

What is the optimal task difficulty for reinforcement learning of brain self-regulation?
Neurofeedback and brain-interface technology are being increasingly applied in fields of research aiming to restore upper-limb functionality in stroke survivors. Greater gains are currently being achieved by subacute (Pichiorri et al. 2015) than by chronic patients (Ang et al. 2014). On the basis of the neurophysiological correlates of motor imagery (Kaiser et al. 2011) and motor cortex excitability (Takemi et al. 2013; Kraus et al. 2016a), such as modulation of β-power (15-30 Hz), these devices may provide an effective backdoor to the motor system (Sharma 2006; Bauer et al.
Source: Clinical Neurophysiology - June 23, 2016 Category: Neuroscience Authors: Robert Bauer, Mathias Vukelić, Alireza Gharabaghi Source Type: research

MMP ‐9 in translation: from molecule to brain physiology, pathology, and therapy
This article is part of the 60th Anniversary special issue. MMP‐9, through cleavage of specific target proteins, plays a major role in synaptic plasticity and neuroinflammation, and by those virtues contributes to brain physiology and a host of neurological and psychiatric disorders. This article is part of the 60th Anniversary special issue.
Source: Journal of Neurochemistry - March 20, 2016 Category: Neuroscience Authors: Behnam Vafadari, Ahmad Salamian, Leszek Kaczmarek Tags: Bench to Bedside Source Type: research

What is the optimal task difficulty for reinforcement learning of brain self-regulation?
Neurofeedback and brain-interface technology are being increasingly applied in fields of research aiming to restore upper-limb functionality in stroke survivors. Greater gains are currently being achieved by subacute (Pichiorri et al., 2015) than by chronic patients (Ang et al., 2014). On the basis of the neurophysiological correlates of motor imagery (Kaiser et al., 2011) and motor cortex excitability (Takemi et al., 2013; Kraus et al., 2016a), such as modulation of β-power (15–30Hz), these devices may provide an effective backdoor to the motor system (Sharma 2006; Bauer et al., 2015), particularly when the subject rec...
Source: Clinical Neurophysiology - June 23, 2016 Category: Neuroscience Authors: Robert Bauer, Mathias Vukeli ć, Alireza Gharabaghi Source Type: research

EP 121. Motor sequence learning in patients with limb apraxia – The effects of long-term training
Recent studies show that limb apraxia is often not recognized as a higher motor impairment in patients suffering from a stroke. Because it is adversely affecting every-day life and personal independence, a successful rehabilitation of apraxia is critical for personal well-being (Cappa et al., 2005; Dovern et al., 2012). Yet, evidence of an effective treatment approach with long-lasting effects and generalization to untrained actions is still missing (Binkofski and Klann, 2013; Dovern et al., 2011).
Source: Clinical Neurophysiology - August 5, 2016 Category: Neuroscience Authors: S. Reitze, M. Heister über, A. Karni, C. Gal, J. Doyon, B.R. King, J. Classen, J.- J. Rumpf, G. Buccino, J. Klann, F. Binkofski Source Type: research

EP 84. Motor control and learning strategy for efficient neurorehabilitation
Parkinson ’s, stroke, and other neurological diseases may significantly affect the control of voluntary, ballistic-like movements that normally are performed automatically and optimally as regards position accuracy, energy expenditure and movement execution time. The control functions (neural signals to mus cles) are to be re-learnt and re-optimised with respect to these performance indices. In our study, a natural approach for efficient motor learning in goal-directed motion tasks, incl. walking is proposed.
Source: Clinical Neurophysiology - August 5, 2016 Category: Neuroscience Authors: D. Despotova, P. Kiriazov Tags: ePoster Presentations – Free Topics 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

Experiencing a reaching task passively with one arm while adapting to a visuomotor rotation with the other can lead to substantial transfer of motor learning across the arms
Publication date: 18 January 2017 Source:Neuroscience Letters, Volume 638 Author(s): Shancheng Bao, Yuming Lei, Jinsung Wang The extent of transfer following visuomotor adaptation across the arms is typically limited as compared to that within the same arm. However, we have demonstrated that interlimb transfer can occur nearly completely if one arm performs reaching movements associated with a desired trajectory repeatedly and actively during an initial training session in which the other arm adapts to a novel visuomotor adaptation. Based on that finding, we argued that the absence of instances associated with specific mo...
Source: Neuroscience Letters - December 16, 2016 Category: Neuroscience Source Type: research

A machine learning approach to measure and monitor physical activity in children
Publication date: 8 March 2017 Source:Neurocomputing, Volume 228 Author(s): Paul Fergus, Abir J. Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly Mackintosh, Gareth Stratton, Nicky Ridgers, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Jenet Lunn The growing trend of obesity and overweight worldwide has reached epidemic proportions with one third of the global population now considered obese. This is having a significant medical impact on children and adults who are at risk of developing osteoarthritis, coronary heart disease and stroke, type 2 diabetes, cancers, respiratory problems, and non-alcoholic fatty liver disease...
Source: Neurocomputing - January 16, 2017 Category: Neuroscience Source Type: research

Downregulation of Iduna is associated with AIF nuclear translocation in neonatal brain after hypoxia –ischemia
Publication date: 27 March 2017 Source:Neuroscience, Volume 346 Author(s): Xiaoxia Yang, Jianhua Cheng, Yubo Gao, Juan Ding, Xinli Ni In adult stroke models, the neuroprotective protein, Iduna, inhibits poly (ADP-ribose) polymerase-1 (PARP-1)-dependent cell death by decreasing apoptosis-inducing factor (AIF) nuclear translocation. Because the PARP1-dependent pathway and Iduna, which promotes AIF degradation, contribute to hypoxic–ischemic (HI) brain damage in the immature brain, we examined the relationship between Iduna expression and AIF nuclear translocation in the cerebral cortex of postnatal day 7 rats after HI. Ni...
Source: Neuroscience - January 31, 2017 Category: Neuroscience Source Type: research

The Posterior Fossa and Foreign Accent Syndrome: Report of Two New Cases and Review of the Literature.
Abstract Foreign accent syndrome is a rare motor speech disorder that causes patients to speak their language with a non-native accent. In the neurogenic condition, the disorder develops after lesions in the language dominant hemisphere, often affecting Broca's area, the insula, the supplementary motor area and the primary motor cortex. Here, we present two new cases of FAS after posterior fossa lesions. The first case is a 44-year-old, right-handed, Dutch-speaking man who suffered motor speech disturbances and a left hemiplegia after a pontine infarction. Quantified SPECT showed a bilateral hypoperfusion in the i...
Source: Cerebellum - March 23, 2017 Category: Neuroscience Authors: Keulen S, Mariën P, van Dun K, Bastiaanse R, Manto M, Verhoeven J Tags: Cerebellum Source Type: research

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

EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation
Advances in brain–computer interface (BCI) technology have facilitated the detection of Motor Imagery (MI) from electroencephalography (EEG). First, we present three strategies of using BCI to detect MI from EEG: operant conditioning that employed a fixed model, machine learning that employed a subject-specific model computed from calibration, and adaptive strategy that continuously compute the subject-specific model. Second, we review prevailing works that employed the operant conditioning and machine learning strategies. Third, we present our past work on six stroke patients who underwent a BCI rehabilitation clin...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - April 1, 2017 Category: Neuroscience Source Type: research

Persistently Altered Metabolic Phenotype following Perinatal Excitotoxic Brain Injury
This study demonstrates that metabolic profiling is a useful approach to identify acute and tertiary effects in an excitotoxic lesion model, and generating a short list of targets with future potential in the hunt for identification, stratification, and possibly therapy.Dev Neurosci
Source: Developmental Neuroscience - May 11, 2017 Category: Neuroscience Source Type: research