Biomarkers in the Clinical Diagnostic of Central Nervous System Diseases
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Neurology".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 10323
Special Issue Editor
Interests: neurodegenerative diseases; amyotrophic lateral sclerosis; multiple sclerosis; Parkinson's disease; Alzheimer's disease; Huntington's disease; multiple system atrophy; prion diseases; stroke
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Tools for the diagnosis of neurological disease used in current clinical practice, such as cognitive psychometric tests, clinical scores and morphological/structural examinations of the brain, do not always unequivocally discriminate early-stage pathological scenarios from normal aging and do not have the same accuracy as the analysis of hierarchically more complex aspects such as acquired brain connectivity by neuroimaging techniques.
The identification of sensitive instrumental markers for neurological disease is a goal of the greatest importance.
This Special Issue is a timely collection of papers that review and propose new techniques to detect and predict neurological disease (mild cognitive impairment (MCI), Alzheimer disease (AD), disorders of consciousness (DOCs)) and to evaluate the efficacy of therapies. We aim to discuss the key options for neurological diseases and state-of-the-art treatment. Moreover, there is still the urgent need to find measures to prevent neurons from injury or degeneration, and ideally to keep neuronal and glial damage under the threshold of symptom manifestation.
We will further discuss the most promising and intriguing future treatment options with a focus on methodology and neurorehabilitation strategies.
Dr. Lilla Bonanno
Guest Editor
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Keywords
- neurological diseases
- neurorehabilitation
- mathematical modeling
- EEG-HD
- fMRI
- NIRS
- VBM
- algorithm
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