Brain mapping is a set of neuroscience approaches based on mapping (biological) values or features onto spatial representations of the (human or non-human) brain to produce maps. Targeting has already been done using brain mapping techniques. Human brain mapping is an experimental discipline that uses a combination of experimental psychology, human neuroscience, and noninvasive neuroimaging to establish structure-function correspondences in the brain. Given the individual heterogeneity among patients, these approaches are now confined to gaining a clearer characterization of a patient's structural anatomy and generating better atlases (see below) to identify specified parts of the brain. The emergence of a rich and diverse literature on the functional organization of the human brain has catapulted neuroimaging into the scientific mainstream. Because of this rapid expansion, there is a pressing need to efficiently gather and integrate the body of knowledge in this sector.
Title : Highlights of the adverse effects of popular 'Whole body vibration' machines on the central and peripheral nervous systems
Ken Ware, NeuroPhysics Therapy Institute, Australia
Title : Novel signaling mechanisms and therapeutic options for diabetic vascular dementia
Yong Xiao Wang, Albany Medical College, United States
Title : Turning research into action - Cogs Club
Jaqueline Tuppen, Cogs Club, United Kingdom
Title : Personalized and precision medicine (PPM) As a unique healthcare model to be set up to secure the human healthcare, wellness and biosafety through the view of public health
Sergey Suchkov, Moscow State University of Food Industry (MGUPP), Russian Federation
Title : Antibody-proteases as the upgraded translational tools of the next-step generation in personalized and precision neurology practice to monitor multiple sclerosis at clinical and subclinical stages
Sergey Suchkov, Moscow State University of Food Industry (MGUPP), Russian Federation
Title : Biomarkers enable pre-early diagnosis, guide targeted therapy and monitor the active ty and therapeutic responses across the diseases. Among the best-validated predictive biomarkers are autoimmunity-related ones to predict and prognosticate risks of the chronification, complications and thus disabling. The latter is so much valuable and important s
Sergey Suchkov, Moscow State University of Food Industry (MGUPP), Russian Federation