Special Issue – Transformative Technologies in Neuroengineering: From Diagnostics to Therapeutics

Special Issue – Transformative Technologies in Neuroengineering: From Diagnostics to Therapeutics

About the special issue

This special issue focuses on the transformative impact of cutting-edge technologies in the fields of biomedical engineering and neuroscience, particularly within Neuroengineering. As interdisciplinary research advances, new tools and methodologies are emerging to address the complexities of the brain and nervous system, offering unprecedented opportunities for diagnostics, therapeutics, and patient care. This issue aims to bring together original research and reviews covering recent innovations and applications of technology to improve our understanding, detection, and treatment of neurological disorders.

Scope

With rapid technological advancements in neuroengineering, this issue brings together contributions that address both fundamental and applied aspects of neuroscience. Key themes include neuroimaging, brain-computer interfaces (BCIs), neuroprosthetics, artificial intelligence, neurogenomics, and neurostimulation therapies. Each theme highlights a different aspect of how technology is revolutionizing neuroscience—from diagnosis to rehabilitation and patient care. Key areas of interest include but are not limited to:

Neuroimaging and Brain-Computer Interfaces (BCIs): Neuroimaging techniques such as MRI, fMRI, and EEG are central to understanding brain structures and activities. Combined with BCIs, these methods enable new diagnostic avenues, assistive technologies, and even control systems that improve patient interactions with their environment, especially for individuals with limited mobility.
Neuroprosthetics and Neural Engineering:
Neuroprosthetic devices are now being developed to restore functions in individuals with motor impairments or neurological conditions. This theme delves into the latest advancements in artificial limbs, neural implants, and sensory aids that respond to neural signals, allowing for enhanced or even restored sensory-motor functions.
Neurogenomics and Molecular Diagnostics:
Precision diagnostics is increasingly dependent on molecular and genomic insights. This section addresses the use of biomarkers and genomic analysis to identify neurological diseases at early stages, opening doors to personalized treatments based on a patient’s genetic makeup and molecular profile.
Artificial Intelligence in Neuroscience:
AI and machine learning are transforming neuroscience research and clinical practice, offering predictive diagnostics, insights into neuroinformatics, and personalized treatment models. By analyzing complex data from imaging, molecular, and behavioral studies, AI-based tools are accelerating discoveries and enabling early and accurate diagnoses.
Neurostimulation and Neurofeedback:
Emerging neurostimulation therapies, such as transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS), are proving effective for conditions like depression, chronic pain, and Parkinson’s disease. Neurofeedback techniques, meanwhile, enable patients to gain control over certain brain functions, creating possibilities for treating anxiety, PTSD, and other mental health issues.
Rehabilitation and Assistive Technologies:
Robotics, virtual reality (VR), augmented reality (AR), and exoskeletons are driving new advancements in neurorehabilitation. These technologies enable tailored rehabilitation programs that assist individuals in regaining motor and cognitive functions after injuries, improving both physical and psychological outcomes.
Advanced Neuroimaging Techniques
Innovations in MRI, fMRI, PET, and EEG for brain mapping.
Real-time brain monitoring and visualization technologies.
Integration of neuroimaging with other diagnostic tools.
Brain-Computer Interfaces (BCIs)
Emerging applications of BCIs in healthcare and assistive devices.
Non-invasive vs. invasive BCI technologies.
Cognitive and motor rehabilitation using BCIs.
Neuroprosthetics and Neural Implants
Design and development of neuroprosthetic devices.
Bio-compatible and adaptive materials for neural implants.
Neuroprosthetics for sensory restoration (hearing, sight, touch).
Neurogenomics and Molecular Diagnostics
Biomarkers and genetic markers for early neurological disease detection.
Precision medicine approaches in neurogenomics.
Genetic and epigenetic therapies for neurological disorders.
Artificial Intelligence and Machine Learning in Neuroscience
AI-driven neuroinformatics and data analysis in brain research.
Machine learning for neurological disease prediction and progression.
Applications of deep learning in neuroimaging and diagnostics.
Neurostimulation Techniques
Advances in transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS).
Electrode design and optimization in neurostimulation therapies.
Applications of neurostimulation in mental health and chronic pain management.
Neurofeedback and Biofeedback Systems
Neurofeedback for managing conditions like PTSD, ADHD, and anxiety.
Technological advancements in real-time biofeedback systems.
Clinical efficacy and patient outcomes in neurofeedback therapies.
Rehabilitation Robotics and Assistive Technologies
Robotic exoskeletons and their use in neurorehabilitation.
Virtual reality (VR) and augmented reality (AR) for cognitive and motor recovery.
Personalized rehabilitation programs using adaptive robotics.
Wearable Neurotechnology
Development of wearable devices for continuous neurological monitoring.
Neurotechnologies for assessing cognitive and emotional states.
Applications of wearables in early diagnosis and chronic condition management.
Neuroethics and Regulatory Considerations
Ethical considerations in neuroengineering research and application.
Guidelines for the use of invasive neural devices in clinical settings.
Privacy and data security issues in AI-based neuroscience tools.
Biomaterial Innovations for Neuroengineering
Biocompatible materials for neural prosthetics and implants.
Nanotechnology and biomaterial integration in neural repair.
Materials for drug delivery and tissue regeneration in the brain.
Computational Neuroscience and Brain Simulation
Computational models of neural networks and brain functions.
Applications of brain simulations in understanding cognitive processes.
Brain simulation tools for drug discovery and neurotherapeutics testing.
Telemedicine and Remote Neurotherapy
Development of remote diagnostic tools for neurological health.
Applications of telemedicine in neurorehabilitation and follow-up care.
Potential of AI-driven remote monitoring systems in neurology.
Emerging Pharmacological and Gene Therapy Techniques in Neuroengineering
Drug delivery systems targeting the brain for neurodegenerative diseases.
CRISPR and gene-editing techniques for neural repair.
Stem cell therapies for neurological regeneration and repair.

Manuscript Submission Information

Manuscripts should be submitted online or via email. Research articles, review articles, as well as short communications, are invited. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. All manuscripts undergo a double-blind peer review. A guide for authors and other relevant information for the submission of manuscripts are available on the Instructions for Authors page.

Submitted manuscripts should be well formatted as per the guidelines of the journal, please read the instructions for the authors before submission.

Note: Please note that if the article is for a special issue; it should be mentioned in the comments section while submitting the article online.

Guest Editors

Dr. Shubham Mahajan
Amity School of Engineering
and Technology (ASET),
Amity University, Gurugram, Panchgaon, Haryana, India.
Email: mahajanshubham2232579
@gmail.com