[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
[HTML][HTML] Recent progress on Tourette syndrome
K Ueda, KJ Black - Faculty Reviews, 2021 - ncbi.nlm.nih.gov
Tic disorders and Tourette syndrome are the most common movement disorders in children
and are characterized by movements or vocalizations. Clinically, Tourette syndrome is …
and are characterized by movements or vocalizations. Clinically, Tourette syndrome is …
Predicting the symptom severity in autism spectrum disorder based on EEG metrics
Autism spectrum disorder (ASD) is associated with the impaired integrating and segregating
of related information that is expanded within the large-scale brain network. The varying …
of related information that is expanded within the large-scale brain network. The varying …
Emerging therapies and recent advances for Tourette syndrome
CY Chou, J Agin-Liebes, SH Kuo - Heliyon, 2023 - cell.com
Tourette syndrome is the most prevalent hyperkinetic movement disorder in children and
can be highly disabling. While the pathomechanism of Tourette syndrome remains largely …
can be highly disabling. While the pathomechanism of Tourette syndrome remains largely …
Recognition of autism spectrum disorder in children based on electroencephalogram network topology
Although our knowledge of autism spectrum disorder (ASD) has been deepened, the
accurate diagnosis of ASD from normal individuals is still left behind. In this study, we …
accurate diagnosis of ASD from normal individuals is still left behind. In this study, we …
Electroencephalographic network topologies predict antidepressant responses in patients with major depressive disorder
Y Peng, Y Huang, B Chen, M He… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Medication therapy seems to be an effective treatment for major depressive disorder (MDD).
However, although the efficacies of various medicines are equal or similar on average, they …
However, although the efficacies of various medicines are equal or similar on average, they …
Recognition of general anesthesia-induced loss of consciousness based on the spatial pattern of the brain networks
Objective. Unconsciousness is a key feature related to general anesthesia (GA) but is
difficult to be evaluated accurately by anesthesiologists clinically. Approach. To tracking the …
difficult to be evaluated accurately by anesthesiologists clinically. Approach. To tracking the …
Exploring the temporal patterns of dynamic information flow during attention network test (ANT)
K Duan, S **e, X Zhang, X **e, Y Cui, R Liu, J Xu - Brain Sciences, 2023 - mdpi.com
The attentional processes are conceptualized as a system of anatomical brain areas
involving three specialized networks of alerting, orienting and executive control, each of …
involving three specialized networks of alerting, orienting and executive control, each of …
Alterations in the topological organization of the default-mode network in Tourette syndrome
Y Yang, H Yang, C Yu, F Ni, T Yu, R Luo - BMC neurology, 2023 - Springer
Background The exact pathophysiology of TS is still elusive. Previous studies have identified
default mode networks (DMN) abnormalities in patients with TS. However, these literatures …
default mode networks (DMN) abnormalities in patients with TS. However, these literatures …
Time–frequency–space transformer EEG decoding for spinal cord injury
F Xu, M Liu, X Chen, Y Yan, J Zhao, Y Liu… - Cognitive …, 2024 - Springer
Transformer neural networks based on multi-head self-attention are effective in several
fields. To capture brain activity on electroencephalographic (EEG) signals and construct an …
fields. To capture brain activity on electroencephalographic (EEG) signals and construct an …