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Registration of challenging pre-clinical brain images
Publication date: 30 May 2013 Source:Journal of Neuroscience Methods, Volume 216, Issue 1 Author(s): William R. Crum , Michel Modo , Anthony C. Vernon , Gareth J. Barker , Steven C.R. Williams The size and complexity of brain imaging studies in pre-clinical populations are increasing, and automated image analysis pipelines are urgently required. Pre-clinical populations can be subjected to controlled interventions (e.g., targeted lesions), which significantly change the appearance of the brain obtained by imaging. Existing systems for registration (the systematic alignment of scans into a consistent anatomical coordinate...
Source: Journal of Neuroscience Methods - November 8, 2014 Category: Neuroscience 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

P 68 Novel control concepts and motor re-learning strategy in neurorehabilitation – practically-oriented approach
Persons suffering from functional impairment, due to cerebral palsy, stroke, or Parkinson ’s, often have not reached their full potential for recovery which often is a reason for injures and loss of life due to fall. Motor skill learning and retention of motor skills can be enhanced if a patient assumes control over practice conditions, e.g. timing of exercise instructions and feedback . In our study, we follow a novel conceptual framework (Despotova and Kiriazov, 2015) for optimal control learning of goal-directed motion tasks, like reaching, standing up and walking.
Source: Clinical Neurophysiology - September 8, 2017 Category: Neuroscience Authors: D. Despotova, P. Kiriazov Tags: Poster Source Type: research

Dietary Energy Restriction Ameliorates Cognitive Impairment in a Mouse Model of Traumatic Brain Injury
AbstractTraumatic brain injury (TBI) is one of the most common causes of neurological damage in young people. It was previously reported that dietary restriction, by either intermittent fasting (IF) or daily caloric restriction (CR), could protect neurons against dysfunction and degeneration in animal models of stroke and Parkinson ’s disease. Recently, several studies have shown that the protein Sirtuin 1 (SIRT1) plays a significant role in the induced neuroprotection following dietary restriction. In the present study, we found a significant reduction of SIRT1 levels in the cortex and hippocampus in a mouse model of mi...
Source: Journal of Molecular Neuroscience - February 8, 2019 Category: Neuroscience Source Type: research

Collectivism Is Associated With Greater Neurocognitive Fluency in Older Adults
This study aimed to evaluate the impact of self-construal on neurocognitive functions in older adults. A total of 86 community-dwelling older adults 60 years and older were assessed with three common self-report measures of self-construal along individualism and collectivism (IC). A cognitive battery was administered to assess verbal and non-verbal fluency abilities. Latent profile analysis (LPA) was used to categorize individuals according to IC, and one-way analyses of covariance (ANCOVA), including relevant covariates (e.g., ethnicity, gender, linguistic abilities), were used to compare neurocognitive functions between ...
Source: Frontiers in Human Neuroscience - April 10, 2019 Category: Neuroscience Source Type: research

Sensory Re-weighting for Postural Control in Parkinson ’s Disease
In this study, we focused primarily on the change of sensory weighting parameters when sensory conditions change. We also tested the additional hypothesis that levodopa medication would improve sensory weighting for postural control. Materials and Methods Subjects The Institutional Review Board at Oregon Health and Science University (OHSU) approved the protocol for this experiment, and all subjects gave informed consent prior to participating. Eight subjects with PD (three female) and eight healthy, age-matched controls (two female) were recruited from the Balance Disorders Laboratory database and the Parkinson’...
Source: Frontiers in Human Neuroscience - April 16, 2019 Category: Neuroscience Source Type: research

Consensus Paper: Novel Directions and Next Steps of Non-invasive Brain Stimulation of the Cerebellum in Health and Disease
Cerebellum. 2021 Nov 23. doi: 10.1007/s12311-021-01344-6. Online ahead of print.ABSTRACTThe cerebellum is involved in multiple closed-loops circuitry which connect the cerebellar modules with the motor cortex, prefrontal, temporal, and parietal cortical areas, and contribute to motor control, cognitive processes, emotional processing, and behavior. Among them, the cerebello-thalamo-cortical pathway represents the anatomical substratum of cerebellum-motor cortex inhibition (CBI). However, the cerebellum is also connected with basal ganglia by disynaptic pathways, and cerebellar involvement in disorders commonly associated w...
Source: Cerebellum - November 23, 2021 Category: Neuroscience Authors: Mario Manto Georgios P D Argyropoulos Tommaso Bocci Pablo A Celnik Louise A Corben Matteo Guidetti Giacomo Koch Alberto Priori John C Rothwell Anna Sadnicka Danny Spampinato Yoshikazu Ugawa Maximilian J Wessel Roberta Ferrucci Source Type: research

Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises
Health professionals often prescribe patients to perform specific exercises for rehabilitation of several diseases (e.g., stroke, Parkinson, backpain). When patients perform those exercises in the absence of an expert (e.g., physicians/therapists), they cannot assess the correctness of the performance. Automatic assessment of physical rehabilitation exercises aims to assign a quality score given an RGBD video of the body movement as input. Recent deep learning approaches address this problem by extracting CNN features from co-ordinate grids of skeleton data (body-joints) obtained from videos. However, they could not extrac...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 25, 2022 Category: Neuroscience Source Type: research