New Approaches and Neuro-Technology for Treatment, Diagnosis and Symptom Monitoring of Neurological Diseases
A Special Issue of Biomedicines (ISSN 2227-9059) belonging to the section "Neurobiology and Clinical Neuroscience".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 658
Editors
Interests: neuropsychology; cognition; multiple sclerosis; parkinson's disease
Interests: multiple sclerosis; demyelinating diseases; neurophysiology; evoked potentials; neuromodulation; non invasive brain stimulation; optical coherence tomography
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Special Issue Information
Dear Colleagues,
Neurological diseases of various etiologies like multiple sclerosis, Parkinson’s disease, Alzheimer’s disease, epilepsy, stroke, and neuromuscular diseases share fundamental clinical care challenges: the need for earlier diagnosis, more effective and personalized treatments, and reliable long-term monitoring tools.
On the therapeutic side, disease-modifying therapies continue to advance across conditions, and both invasive and non-invasive neuromodulation approaches (e.g., deep brain stimulation, transcranial magnetic/electrical stimulation) show growing promise both as stand-alone and adjunct interventions. Concurrently, digital technologies, such as wearable sensors, AI-assisted neuroimaging, digital cognitive and motor assessments, and patient-reported outcomes, are transforming how we diagnose and monitor neurological disease, with the potential to replace conventional clinical trial endpoints.
This Special Issue invites submissions on novel treatment strategies, as well as biomarkers and digital tools that advance the diagnosis, monitoring, or clinical trial methodology across the spectrum of neurological diseases. Reviews are accepted, although original research studies are particularly encouraged.
Sincerely,
Dr. Michelangelo Dini
Dr. Letizia Leocani
Guest Editors
Manuscript Submission Information
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Keywords
- neurological diseases
- neuroinflammation
- neurodegeneration
- stroke
- treatment
- neuromodulation
- digital biomarkers
- artificial intelligence
- wearables
- sensors
- eHealth
- telemedicine
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