Affective brain–computer interfaces (abcis): A tutorial

D Wu, BL Lu, B Hu, Z Zeng - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
A brain–computer interface (BCI) enables a user to communicate directly with a computer
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …

Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior

X Jiang, T Zhang, S Zhang, KM Kendrick… - …, 2021 - academic.oup.com
Folding of the cerebral cortex is a prominent characteristic of mammalian brains. Alterations
or deficits in cortical folding are strongly correlated with abnormal brain function, cognition …

Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age

G Li, L Wang, F Shi, AE Lyall, W Lin… - Journal of …, 2014 - Soc Neuroscience
Human cortical folding is believed to correlate with cognitive functions. This likely correlation
may have something to do with why abnormalities of cortical folding have been found in …

Predicting brain structural network using functional connectivity

L Zhang, L Wang, D Zhu… - Medical image …, 2022 - Elsevier
Uncovering the non-trivial brain structure–function relationship is fundamentally important
for revealing organizational principles of human brain. However, it is challenging to infer a …

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease

B Jie, M Liu, D Shen - Medical image analysis, 2018 - Elsevier
Functional connectivity networks (FCNs) using resting-state functional magnetic resonance
imaging (rs-fMRI) have been applied to the analysis and diagnosis of brain disease, such as …

Sparse representation of whole-brain fMRI signals for identification of functional networks

J Lv, X Jiang, X Li, D Zhu, H Chen, T Zhang… - Medical image …, 2015 - Elsevier
There have been several recent studies that used sparse representation for fMRI signal
analysis and activation detection based on the assumption that each voxel's fMRI signal is …

Representing and retrieving video shots in human-centric brain imaging space

J Han, X Ji, X Hu, D Zhu, K Li, X Jiang… - … on Image Processing, 2013 - ieeexplore.ieee.org
Meaningful representation and effective retrieval of video shots in a large-scale database
has been a profound challenge for the image/video processing and computer vision …

Fusing DTI and fMRI data: a survey of methods and applications

D Zhu, T Zhang, X Jiang, X Hu, H Chen, N Yang, J Lv… - NeuroImage, 2014 - Elsevier
The relationship between brain structure and function has been one of the centers of
research in neuroimaging for decades. In recent years, diffusion tensor imaging (DTI) and …

Inflammation and decreased functional connectivity in a widely-distributed network in depression: centralized effects in the ventral medial prefrontal cortex

L Yin, X Xu, G Chen, ND Mehta, E Haroon… - Brain, behavior, and …, 2019 - Elsevier
Major depressive disorder is a heterogeneous disease involving widespread disruptions in
functional brain networks, the neurobiological mechanisms of which are poorly understood …

Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients

X Li, D Zhu, X Jiang, C Jin, X Zhang, L Guo… - Human brain …, 2014 - Wiley Online Library
Functional connectomes (FCs) have been recently shown to be powerful in characterizing
brain conditions. However, many previous studies assumed temporal stationarity of FCs …