A systematic review on hybrid EEG/fNIRS in brain-computer interface

Z Liu, J Shore, M Wang, F Yuan, A Buss… - … Signal Processing and …, 2021 - Elsevier
As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

[HTML][HTML] Physiological electric field: a potential construction regulator of human brain organoids

X Yu, X Meng, Z Pei, G Wang, R Liu, M Qi… - International Journal of …, 2022 - mdpi.com
Brain organoids can reproduce the regional three-dimensional (3D) tissue structure of
human brains, following the in vivo developmental trajectory at the cellular level; therefore …

[HTML][HTML] An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data

P Ke, D Xiong, J Li, Z Pan, J Zhou, S Li, J Song… - Scientific reports, 2021 - nature.com
Finding effective and objective biomarkers to inform the diagnosis of schizophrenia is of
great importance yet remains challenging. Relatively little work has been conducted on multi …

[HTML][HTML] Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability

F Galkin, K Kochetov, M Keller, A Zhavoronkov… - Aging (Albany …, 2022 - ncbi.nlm.nih.gov
In this article, we present a deep learning model of human psychology that can predict one's
current age and future well-being. We used the model to demonstrate that one's baseline …

[HTML][HTML] Alzheimer's disease is an inherent, natural part of human brain aging: An integrated perspective

I Ferrer - Free Neuropathology, 2022 - ncbi.nlm.nih.gov
Alzheimer disease is one of the most challenging demons in our society due to its very high
prevalence and its clinical manifestations which cause deterioration of cognition …

[HTML][HTML] Numerosity categorization by parity in an insect and simple neural network

SR Howard, J Greentree, A Avarguès-Weber… - Frontiers in Ecology …, 2022 - frontiersin.org
A frequent question as technology improves and becomes increasingly complex, is how we
enable technological solutions and models inspired by biological systems. Creating …

[HTML][HTML] Altered resting-state electroencephalography microstates in idiopathic generalized epilepsy: a prospective case-control study

YB Jiang, MY Zhu, Y Hu, K Wang - Frontiers in Neurology, 2021 - frontiersin.org
Objective: Idiopathic generalized epilepsy (IGE) involves aberrant organization and
functioning of large-scale brain networks. This study aims to investigate whether the resting …

Interpreting resting heart rate variability in complex populations: the role of autonomic reflexes and comorbidities

PM Kwon, S Lawrence, BR Mueller, JF Thayer… - Clinical Autonomic …, 2022 - Springer
Purpose Resting heart rate variability (HRV) is an important biomarker linking mental health
to cardiovascular outcomes. However, resting HRV is also impaired in autonomic …

Task-specific sensory coding strategies are matched to detection and discrimination performance

KM Allen, G Marsat - Journal of Experimental Biology, 2018 - journals.biologists.com
The acquisition of sensory information is limited by the neural encoding method used,
constraining perceptual abilities. The most relevant aspects of stimuli may change as …

[HTML][HTML] Visual cognition of birds and its underlying neural mechanism: a review

X Niu, Z Jiang, Y Peng, S Huang, Z Wang, L Shi - Avian Research, 2022 - Elsevier
Birds have acute vision and many remarkable visual cognition abilities, due to their unique
living environment. The underlying neural mechanisms have also attracted interests of …