Advanced near‐infrared light approaches for neuroimaging and neuromodulation

H Yin, W Jiang, Y Liu, D Zhang, F Wu, Y Zhang, C Li… - …, 2023 - Wiley Online Library
Almost all physiological processes of animals are controlled by the brain, including
language, cognitive, memory, learning, emotion and so forth. Minor brain dysfunction usually …

A revisit of the amygdala theory of autism: Twenty years after

S Wang, X Li - Neuropsychologia, 2023 - Elsevier
The human amygdala has long been implicated to play a key role in autism spectrum
disorder (ASD). Yet it remains unclear to what extent the amygdala accounts for the social …

Brain network transformer

X Kan, W Dai, H Cui, Z Zhang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Human brains are commonly modeled as networks of Regions of Interest (ROIs) and their
connections for the understanding of brain functions and mental disorders. Recently …

The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder

EN Pitsik, VA Maximenko, SA Kurkin, AP Sergeev… - Chaos, Solitons & …, 2023 - Elsevier
Deep learning approaches are state-of-the-art computational tools employed at analyzing
big data in fundamental and applied science. Recently, they gained popularity in …

Cortical structural and functional coupling during development and implications for attention deficit hyperactivity disorder

SM Soman, N Vijayakumar, P Thomson, G Ball… - Translational …, 2023 - nature.com
Functional connectivity is scaffolded by the structural connections of the brain. Disruptions of
either structural or functional connectivity can lead to deficits in cognitive functions and …

Seizure detection with reduced electroencephalogram channels: research trends and outlook

C Maher, Y Yang, ND Truong… - Royal Society …, 2023 - royalsocietypublishing.org
Epilepsy is a prevalent condition characterized by recurrent, unpredictable seizures.
Monitoring with surface electroencephalography (EEG) is the gold standard for diagnosing …

Characteristics of brain glucose metabolism and metabolic connectivity in noise-induced hearing loss

S Shin, HY Nam - Scientific Reports, 2023 - nature.com
The purpose of this study was to evaluate the differences in cerebral glucose metabolism
and metabolic connectivity between noise-induced hearing loss (NIHL) subjects and normal …

Effects of visual-electrotactile stimulation feedback on brain functional connectivity during motor imagery practice

C Phunruangsakao, D Achanccaray… - Scientific Reports, 2023 - nature.com
The use of neurofeedback is an important aspect of effective motor rehabilitation as it offers
real-time sensory information to promote neuroplasticity. However, there is still limited …

GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition

Z Wan, W Cheng, M Li, R Zhu, W Duan - Frontiers in Neuroscience, 2023 - frontiersin.org
Background Steady state visually evoked potentials (SSVEPs) based early glaucoma
diagnosis requires effective data processing (eg, deep learning) to provide accurate …

Structural and functional connectivity in hydrocephalus: a scoping review

I Peña Pino, E Fellows, RA McGovern, CC Chen… - Neurosurgical …, 2024 - Springer
Optimizing the treatment of hydrocephalus remains a major challenge in adult and pediatric
neurosurgery. Currently, clinical treatment relies heavily on anatomic imaging of ventricular …