Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review

M Khodatars, A Shoeibi, D Sadeghi… - Computers in biology …, 2021 - Elsevier
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …

Exploring the frontiers of neuroimaging: a review of recent advances in understanding brain functioning and disorders

C Yen, CL Lin, MC Chiang - Life, 2023 - mdpi.com
Neuroimaging has revolutionized our understanding of brain function and has become an
essential tool for researchers studying neurological disorders. Functional magnetic …

Advances in diagnostic tools and therapeutic approaches for gliomas: A comprehensive review

G Thenuwara, J Curtin, F Tian - Sensors, 2023 - mdpi.com
Gliomas, a prevalent category of primary malignant brain tumors, pose formidable clinical
challenges due to their invasive nature and limited treatment options. The current …

Neuromodulation in 2035: the neurology future forecasting series

T Denison, MJ Morrell - Neurology, 2022 - AAN Enterprises
Neuromodulation devices are approved in the United States for the treatment of movement
disorders, epilepsy, pain, and depression, and are used off-label for other neurologic …

Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry

R Li, H Hosseini, M Saggar, SC Balters… - …, 2023 - spiedigitallibrary.org
Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique for assessing
human brain activity by noninvasively measuring the fluctuation of cerebral oxygenated-and …

Classification of working memory loads via assessing broken detailed balance of EEG-fNIRS neurovascular coupling measures

Y Gao, H Liu, F Fang, Y Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human brain breaks the detailed balance to drive a variety of cognitive functions, such as
memory. Recently, a promising classification framework of working memory loads has been …

Time in brain: how biological rhythms impact on EEG signals and on EEG-derived brain networks

K Lehnertz, T Rings, T Bröhl - Frontiers in Network Physiology, 2021 - frontiersin.org
Electroencephalography (EEG) is a widely employed tool for exploring brain dynamics and
is used extensively in various domains, ranging from clinical diagnosis via neuroscience …

Non-invasive transcranial electrical brain stimulation guided by functional near-infrared spectroscopy for targeted neuromodulation: a review

KS Hong, MNA Khan, U Ghafoor - Journal of Neural Engineering, 2022 - iopscience.iop.org
One of the primary goals in cognitive neuroscience is to understand the neural mechanisms
on which cognition is based. Researchers are trying to find how cognitive mechanisms are …

From molecule to patient rehabilitation: the impact of transcranial direct current stimulation and magnetic stimulation on stroke—a narrative review

A Badoiu, SI Mitran, B Catalin, TA Balseanu… - Neural …, 2023 - Wiley Online Library
Stroke is a major health problem worldwide, with numerous health, social, and economic
implications for survivors and their families. One simple answer to this problem would be to …

Anodal and cathodal transcranial direct current stimulations of prefrontal cortex in a rodent model of Alzheimer's disease

M Duan, Z Meng, D Yuan, Y Zhang, T Tang… - Frontiers in aging …, 2022 - frontiersin.org
Alzheimer's disease (AD) is a leading cause of dementia in the elderly, with no effective
treatment currently available. Transcranial direct current stimulation (tDCS), a non-drug and …