Advances in neuroimaging techniques have significantly enhanced our understanding of brain structure and function, allowing for more precise diagnoses and better treatment strategies for neurological disorders. Cutting-edge technologies like functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) enable researchers to observe real-time brain activity and neural connectivity. These techniques have opened new avenues for studying cognitive processes, brain plasticity, and the effects of neurological diseases like Alzheimer's, epilepsy, and schizophrenia. Additionally, developments in high-resolution imaging and brain mapping have improved our ability to detect early biomarkers of neurodegenerative diseases, facilitating earlier interventions. The integration of advanced neuroimaging with machine learning algorithms is further improving diagnostic accuracy and personalizing treatment options.
Title : Scalp acupuncture with functional electrical stimulation for the treatment children with autism spectrum disorder
Zhenhuan Liu, Guangzhou University of Chinese Medicine, China
Title : Music therapy combined with acupuncture therapy for children with autism spectrum disorder
Zhenhuan Liu, Guangzhou University of Chinese Medicine, China
Title : Diquat exposure induces brainstem demyelination and encephalopathy via upregulating the mitochondrial calcium uniporter
Weixia Duan, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, China
Title : Transcranial direct current stimulation (TDCS) for chronic migraine: a randomized clinical trial with 20 patients.
Milton C R Medeiros, Hospital Santa Casa de Arapongas, Brazil
Title : A computational approach to evaluate the impact of chemical pathways on brain activity on a broad scale.
Rahul Hajare, Sandip University, India
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Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation