This paper explores the emerging field of neuroscience in Africa, considering the unique genetic diversity, socio-cultural determinants, and health inequalities in the continent. It presents numerous brain research initiatives, such as ABDRN, AMARI, APCDR, and H3Africa, aimed at understanding genetic and environmental factors influencing brain disorders in Africa. Despite numerous challenges like the brain drain phenomenon, inadequate infrastructure, and scarce research expertise, significant progress has been achieved. The paper proposes solutions, including international collaboration, capacity-building efforts, and policies to promote neuroscience research, to enhance the understanding of brain function and address brain-related health issues within the African context.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578320 | PMC |
| http://dx.doi.org/10.3233/ADR-230062 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Neurodevelopmental Dynamics of Multilingual Experience During Childhood: A Longitudinal Behavioral, Structural, and Functional MRI Study.
Brain Sci
January 2025
Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Background/objectives: A neurobiological framework of bi- or multilingual neurocognitive development must consider the following: (i) longitudinal behavioral and neural measures; (ii) brain developmental constraints across structure and function; and (iii) the development of global multilingual competence in a homogeneous social environment. In this study, we investigated whether multilingual competence yields early changes in executive attention control mechanisms and their underlying neural structures in the frontal-striatal system, such as the dorsal anterior cingulate cortex/pre-supplemental area and the left caudate.
Methods: We employed longitudinal neuroimaging and functional connectivity methods in a small group of multilingual children over two years.
Cognitive-Behavioral Therapists' Experience on Relevance of Sleep and Sleep Disorders in Training and Clinical Practice: A Survey Study from Italy.
Brain Sci
January 2025
School of Cognitive Psychotherapy, Association of Cognitive Psychotherapy, 00185 Rome, Italy.
Background/objectives: Based on previous data reporting the status of health professionals' training about sleep clinical psychophysiology, insomnia, and its treatment in the US and Canada, this paper aims at providing a snapshot of the Italian situation, considering health professionals qualified to offer cognitive behavioral therapy (CBT). Adding information on different countries is important, as national health systems differ significantly, and distinct evidence-based pathways for change may be proposed.
Methods: Two hundred and thirteen CBT professionals (180 females; 33 males) answered a 5 min survey about their training and experience in recognizing and treating behavioral sleep disorders in their practice.
Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer's Disease Classification.
Bioengineering (Basel)
January 2025
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy.
As the leading cause of dementia worldwide, Alzheimer's Disease (AD) has prompted significant interest in developing Deep Learning (DL) approaches for its classification. However, it currently remains unclear whether these models rely on established biological indicators. This work compares a novel DL model using structural connectivity (namely, BC-GCN-SE adapted from functional connectivity tasks) with an established model using structural magnetic resonance imaging (MRI) scans (namely, ResNet18).
View Article and Find Full Text PDFNeural reshaping: the plasticity of human brain and artificial intelligence in the learning process.
Am J Neurodegener Dis
December 2024
School of Electrical Engineering, Iran University of Science and Technology Tehran, Iran.
Unlabelled: This study explores the concept of neural reshaping and the mechanisms through which both human and artificial intelligence adapt and learn.
Objectives: To investigate the parallels and distinctions between human brain plasticity and artificial neural network plasticity, with a focus on their learning processes.
Methods: A comparative analysis was conducted using literature reviews and machine learning experiments, specifically employing a multi-layer perceptron neural network to examine regression and classification problems.
A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography.
Fluids Barriers CNS
January 2025
Department of Biomedical Engineering, Air Force Medical University, Xi'an, China.
Background: Acute and critical neurological diseases are often accompanied with elevated intracranial pressure (ICP), leading to insufficient cerebral perfusion, which may cause severe secondary lesion. Existing ICP monitoring techniques often fail to effectively meet the demand for real-time noninvasive ICP monitoring and warning. This study aimed to explore the use of electrical impedance tomography (EIT) to provide real-time early warning of elevated ICP by observing cerebral perfusion.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!