About this Research Topic
In the rapidly evolving field of neuroimaging, the convergence of engineering advancements and medical expertise is reshaping our approach to understanding and treating neurological disorders. This Research Topic calls for pioneering research that introduces innovative imaging techniques and technologies designed to enhance diagnosis, treatment, and patient outcomes. From advanced imaging to AI-driven analysis, we seek studies that not only push the boundaries of what is possible but also directly address the clinical needs of conditions such as ALS, Autism, Alzheimer’s, Brain Tumors, and many others.
This Research Topic, "Innovative imaging in neurological disorders: bridging engineering and medicine," seeks to highlight groundbreaking advancements in brain imaging technologies and their application to the diagnosis, treatment, and understanding of neurological disorders. We aim to foster interdisciplinary collaboration between engineering, medical, and computational sciences to drive innovations in imaging techniques that can significantly improve patient outcomes.
The Research Topic will explore emerging technologies such as advanced MRI, fMRI, PET, CT, DTI, and multimodal imaging approaches, as well as AI-driven diagnostic tools, machine learning models for image analysis, and novel imaging biomarkers. We are particularly interested in studies that integrate engineering breakthroughs with clinical practice to address complex neurological conditions such as:
· Alzheimer’s Disease
· Amyotrophic Lateral Sclerosis (ALS)
· Autism
· ADHD
· Schizophrenia
· Stroke
· Brain Tumors
· Multiple Sclerosis
· Parkinson’s Disease
· Epilepsy and Seizures
· Dyslexia
· Dementia
· Cerebral Aneurysm
We encourage submissions that explore:
· Innovative imaging modalities for early diagnosis and treatment monitoring.
· AI and machine learning applications in brain image analysis.
· Hybrid imaging techniques combining various modalities to enhance resolution and accuracy.
· Novel biomarkers for neurological disease progression and therapeutic response.
· Comparative studies showcasing the clinical impact of new imaging technologies.
By merging engineering advancements with medical insights, this Research Topic aims to propel the next wave of innovations in neuroimaging, offering new perspectives on diagnosing and managing neurological disorders.
This Research Topic, "Innovative imaging in neurological disorders: bridging engineering and medicine," seeks to highlight groundbreaking advancements in brain imaging technologies and their application to the diagnosis, treatment, and understanding of neurological disorders. We aim to foster interdisciplinary collaboration between engineering, medical, and computational sciences to drive innovations in imaging techniques that can significantly improve patient outcomes.
The Research Topic will explore emerging technologies such as advanced MRI, fMRI, PET, CT, DTI, and multimodal imaging approaches, as well as AI-driven diagnostic tools, machine learning models for image analysis, and novel imaging biomarkers. We are particularly interested in studies that integrate engineering breakthroughs with clinical practice to address complex neurological conditions such as:
· Alzheimer’s Disease
· Amyotrophic Lateral Sclerosis (ALS)
· Autism
· ADHD
· Schizophrenia
· Stroke
· Brain Tumors
· Multiple Sclerosis
· Parkinson’s Disease
· Epilepsy and Seizures
· Dyslexia
· Dementia
· Cerebral Aneurysm
We encourage submissions that explore:
· Innovative imaging modalities for early diagnosis and treatment monitoring.
· AI and machine learning applications in brain image analysis.
· Hybrid imaging techniques combining various modalities to enhance resolution and accuracy.
· Novel biomarkers for neurological disease progression and therapeutic response.
· Comparative studies showcasing the clinical impact of new imaging technologies.
By merging engineering advancements with medical insights, this Research Topic aims to propel the next wave of innovations in neuroimaging, offering new perspectives on diagnosing and managing neurological disorders.
Keywords: neurological disorders, brain imaging technologies, neuroimaging, multimodal neuroimaging, MRI, fMRI, PET, CT, DTI, machine learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
