scholarly journals Music and Brain Plasticity: How Sounds Trigger Neurogenerative Adaptations

2018 ◽  
Author(s):  
Mark Reybrouck ◽  
Peter Vuust ◽  
Elvira Brattico
Keyword(s):  
Brain Plasticity

Refining Evidence-Based Treatments for Late-Life Depression

GeroPsych ◽  
2015 ◽  
Vol 28 (2) ◽  
pp. 67-76
Author(s):  
Grace C. Niu ◽  
Patricia A. Arean
Keyword(s):  
Older Adults ◽  
Mental Illness ◽  
Brain Plasticity ◽  
Late Life ◽  
Aging Population ◽  
The United States ◽  
Future Research ◽  
Evidence Based ◽  
Late Life Depression ◽  
Evidence Based Treatments

The recent increase in the aging population, specifically in the United States, has raised concerns regarding treatment for mental illness among older adults. Late-life depression (LLD) is a complex condition that has become widespread among the aging population. Despite the availability of behavioral interventions and psychotherapies, few depressed older adults actually receive treatment. In this paper we review the research on refining treatments for LLD. We first identify evidence-based treatments (EBTs) for LLD and the problems associated with efficacy and dissemination, then review approaches to conceptualizing mental illness, specifically concepts related to brain plasticity and the Research Domain Criteria (RDoc). Finally, we introduce ENGAGE as a streamlined treatment for LLD and discuss implications for future research.

Adaptive and Maladaptive Neural Plasticity Due to Facial Nerve Palsy

2016 ◽  
Vol 224 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Carsten M. Klingner ◽  
Stefan Brodoehl ◽  
Gerd F. Volk ◽  
Orlando Guntinas-Lichius ◽  
Otto W. Witte
Keyword(s):  
Facial Nerve ◽  
Neural Plasticity ◽  
Cortical Plasticity ◽  
Brain Plasticity ◽  
Motor Nerve ◽  
Predictive Coding ◽  
Theoretical Framework ◽  
Cortical Reorganization ◽  
Nerve Lesion ◽  
Peripheral Facial Palsy

Abstract. This paper reviews adaptive and maladaptive mechanisms of cortical plasticity in patients suffering from peripheral facial palsy. As the peripheral facial nerve is a pure motor nerve, a facial nerve lesion is causing an exclusive deefferentation without deafferentation. We focus on the question of how the investigation of pure deefferentation adds to our current understanding of brain plasticity which derives from studies on learning and studies on brain lesions. The importance of efference and afference as drivers for cortical plasticity is discussed in addition to the crossmodal influence of different competitive sensory inputs. We make the attempt to integrate the experimental findings of the effects of pure deefferentation within the theoretical framework of cortical responses and predictive coding. We show that the available experimental data can be explained within this theoretical framework which also clarifies the necessity for maladaptive plasticity. Finally, we propose rehabilitation approaches for directing cortical reorganization in the appropriate direction and highlight some challenging questions that are yet unexplored in the field.

Evidences of Brain Plasticity and Motor Control Modulation after Hemodialysis Session by Helixone Membrane: BOLD-fMRI Study

2020 ◽  
Vol 19 (6) ◽  
pp. 466-477
Author(s):  
Saïd Boujraf ◽  
Rachida Belaïch ◽  
Abdelkhalek Housni ◽  
Badreeddine Alami ◽  
Tariq Skalli ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Functional Activity ◽  
Brain Plasticity ◽  
Biological Assessment ◽  
Bold Fmri ◽  
Before And After ◽  
Total Antioxidant ◽  
Inflammatory State ◽  
Functional Control ◽  
The Impact

Objective: The aim of this paper is to demonstrate the impact of hemodialysis (HD) using synthetic Helixone membrane on brain functional control reorganization and plasticity in the cortical area generated while Oxidative Stress (OS) would be the main impacting agent. Methods: Indeed, 9 chronic HD patients underwent identical brain BOLD-fMRI assessment using the motor paradigm immediately before and after the same HD sessions. To assess the oxidative stress, the same patients underwent biological-assessment, including Malondialdehyde (MDA) and Total- Antioxidant-Activity (TAOA) reported in earlier papers. Results: BOLD-fMRI maps of motor areas obtained from HD-patients before and after HD sessions revealed a significant enhancement of activation volume of the studied motor cortex after HD reflecting brain plasticity. Results were correlated with OS assessed by the measurement of MDA and TAOA; this correlation was close to 1. Conclusion: Indeed, HD enhances the inflammatory state of brain tissues reflected by the increased OS. The functional brain reaction demonstrated a functional activity reorganization to overcome the inflammatory state and OS enhanced by HD process. This functional activity reorganization reveals brain plasticity induced by OS originated by HD.

scholarly journals Fast Brain Plasticity during Word Learning in Musically-Trained Children

2017 ◽  
Vol 11 ◽  
Author(s):  
Eva Dittinger ◽  
Julie Chobert ◽  
Johannes C. Ziegler ◽  
Mireille Besson
Keyword(s):  
Word Learning ◽  
Brain Plasticity

EXPRESS: Altering the rehabilitation environment to improve stroke survivor activity (AREISSA): a Phase II trial.

2021 ◽  
pp. 174749302110069
Author(s):  
Heidi Janssen ◽  
Louise Ada ◽  
Sandy Middleton ◽  
Michael Pollack ◽  
Michael Nilsson ◽  
...  
Keyword(s):  
Adverse Events ◽  
Clinical Outcomes ◽  
Environmental Enrichment ◽  
Brain Plasticity ◽  
Social Activity ◽  
Stroke Survivor ◽  
Group Differences ◽  
Control Group ◽  
Serious Adverse Events ◽  
Clinical Trial Registration

Background: Environmental enrichment involves organisation of the environment and provision of equipment to facilitate engagement in physical, cognitive and social activity. In animals with stroke, it promotes brain plasticity and recovery. Aims: To assess the feasibility and safety of a patient-driven model of environmental enrichment incorporating access to communal and individual environmental enrichment. Methods: A non-randomised cluster trial with blinded measurement involving people with stroke (n=193) in 4 rehabilitation units was carried out. Feasibility was operationalised as activity 10 days after admission to rehabilitation and availability of environmental enrichment. Safety was measured as falls and serious adverse events. Benefit was measured as clinical outcomes at 3 months, by an assessor blinded to group. Results: The experimental group (n=91) spent 7% (95% CI -14 to 0) less time inactive, 9% (95% CI 0 to 19) more time physically, and 6% (95% CI 2 to 10) more time socially active than the control group (n=102). Communal environmental enrichment was available 100% of the time, but individual environmental enrichment was rarely within reach (24%) or sight (39%). There were no between-group differences in serious adverse events or falls at discharge or 3 months nor in clinical outcomes at 3 months. Conclusions: This patient-driven model of environmental enrichment was feasible and safe. However, the very modest increase in activity by people with stroke, and the lack of benefit in clinical outcomes 3 months after stroke do not provide justification for an efficacy trial. Clinical Trial Registration: ANZCTR 12613000796785 Words: 245

A new method to predict anomaly in brain network based on graph deep learning

2020 ◽  
Vol 31 (6) ◽  
pp. 681-689
Author(s):  
Jalal Mirakhorli ◽  
Hamidreza Amindavar ◽  
Mojgan Mirakhorli
Keyword(s):  
Deep Learning ◽  
Large Scale ◽  
Brain Plasticity ◽  
Brain Network ◽  
High Order ◽  
Brain Diseases ◽  
Simultaneous Occurrence ◽  
Generative Adversarial Network ◽  
The Brain ◽  
Brain Connections

AbstractFunctional magnetic resonance imaging a neuroimaging technique which is used in brain disorders and dysfunction studies, has been improved in recent years by mapping the topology of the brain connections, named connectopic mapping. Based on the fact that healthy and unhealthy brain regions and functions differ slightly, studying the complex topology of the functional and structural networks in the human brain is too complicated considering the growth of evaluation measures. One of the applications of irregular graph deep learning is to analyze the human cognitive functions related to the gene expression and related distributed spatial patterns. Since a variety of brain solutions can be dynamically held in the neuronal networks of the brain with different activity patterns and functional connectivity, both node-centric and graph-centric tasks are involved in this application. In this study, we used an individual generative model and high order graph analysis for the region of interest recognition areas of the brain with abnormal connection during performing certain tasks and resting-state or decompose irregular observations. Accordingly, a high order framework of Variational Graph Autoencoder with a Gaussian distributer was proposed in the paper to analyze the functional data in brain imaging studies in which Generative Adversarial Network is employed for optimizing the latent space in the process of learning strong non-rigid graphs among large scale data. Furthermore, the possible modes of correlations were distinguished in abnormal brain connections. Our goal was to find the degree of correlation between the affected regions and their simultaneous occurrence over time. We can take advantage of this to diagnose brain diseases or show the ability of the nervous system to modify brain topology at all angles and brain plasticity according to input stimuli. In this study, we particularly focused on Alzheimer’s disease.

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