In this study, we proposed a novel set of bispectrum in constructing both frequency power and complexity spectrum. The uniform phase empirical mode decomposition (UPEMD) was implemented to obtain nonlinear extraction while guaranteeing explicit …
The concept of the brain-computer interface (BCI) has become one of the popular research topics of recent times because it allows people to express their thoughts and control different applications and devices without actual movement. The …
Sex differences in the brain have been widely reported and may hold the key to elucidating sex differences in many medical conditions and drug response. However, the molecular correlates of these sex differences in structural and functional brain …
Authors:
Cheng-li Zhao, Wenjie Hou, Yanbing Jia, Barbara J. Sahakian, Qiang Luo, the DIRECT Consortium
In this paper, we develop a new cortex-pallidum model to study the origin mechanism of Parkinson's oscillations in the cortex. In contrast to many previous models, the globus pallidus internal (GPi) and externa (GPe) both exert direct inhibitory …
Electroencephalography (EEG) evaluation is an important step in the clinical diagnosis of brain death during the standard clinical procedure. The processing of the brain-death EEG signals acquisition always carried out in the Intensive Care Unit …
Visual joint attention, the ability to track gaze and recognize intent, plays a key role in the development of social and language skills in health humans, which is performed abnormally hard in autism spectrum disorder (ASD). The traditional …
Authors:
Jianling Tan, Yichao Zhan, Yi Tang, Weixin Bao, Yin Tian
Theta–gamma coupling (TGC) is a neurophysiological process that supports working memory. Working memory is associated with other clinical and biological features. The extent to which TGC is associated with these other features and whether it …
Authors:
Rachel A. Patterson, Heather Brooks, Mina Mirjalili, Neda Rashidi-Ranjbar, Reza Zomorrodi, Daniel M. Blumberger, Corinne E. Fischer, Alastair J. Flint, Ariel Graff-Guerrero, Nathan Herrmann, James L. Kennedy, Sanjeev Kumar, Krista L. Lanctôt, Linda Mah, Benoit H. Mulsant, Bruce G. Pollock, Aristotle N. Voineskos, Wei Wang, Tarek K. Rajji, the PACt-MD Study Group
The processing of speech information from various sensory modalities is crucial for human communication. Both left posterior superior temporal gyrus (pSTG) and motor cortex importantly involve in the multisensory speech perception. However, the …
Authors:
Ting Zou, Liyuan Li, Xinju Huang, Chijun Deng, Xuyang Wang, Qing Gao, Huafu Chen, Rong Li
Growing electroencephalogram (EEG) studies have linked the abnormities of functional brain networks with disorders of consciousness (DOC). However, due to network data’s high-dimensional and non-Euclidean properties, it is difficult to exploit the …
The dynamics of integer-order Cohen-Grossberg neural networks with time delays has lately drawn tremendous attention. It reveals that fractional calculus plays a crucial role on influencing the dynamical behaviors of neural networks (NNs). This …
To analyze brain connectivity dynamics during listening to music and estimate the potential impact on task performance. Fifteen participants (13 males and 2 females) participated in this study based on their interest in Indian classical music.
Mental subtraction, involving numerical processing and operation, requires a complex interplay among several brain regions. Diverse studies have utilized scalp electroencephalograph, electrocorticogram, or functional magnetic resonance imaging to …
Authors:
Na Clara Pan, Chengtian Zhao, Jialin Du, Qilin Zhou, Cuiping Xu, Chunyan Liu, Tao Yu, Dan Zhang, Yuping Wang
EEG is the most common test for diagnosing a seizure, where it presents information about the electrical activity of the brain. Automatic Seizure detection is one of the challenging tasks due to limitations of conventional methods with regard to …
A brain-computer interface (BCI) is an advanced communication system, which aims to establish direct communication between the brain and the external world. Electroencephalogram (EEG) has become the most commonly adopted neurophysiological signal …
The human brain can effectively perform Facial Expression Recognition (FER) with a few samples by utilizing its cognitive ability. However, unlike the human brain, even the well-trained deep neural network is data-dependent and lacks cognitive …
Authors:
Dongjun Liu, Jin Cui, Zeyu Pan, Hangkui Zhang, Jianting Cao, Wanzeng Kong
EEG neurofeedback using frontal alpha asymmetry (FAA) has been widely used for emotion regulation, but its effectiveness is controversial. Studies indicated that individual differences in neurofeedback training can be traced to neuroanatomical and …
Authors:
Linling Li, Yutong Li, Zhaoxun Li, Gan Huang, Zhen Liang, Li Zhang, Feng Wan, Manjun Shen, Xue Han, Zhiguo Zhang
The brain structure–function relationship is crucial to how the human brain works under normal or diseased conditions. Exploring such a relationship is challenging when using the 3-dimensional magnetic resonance imaging (MRI) functional dataset …
Authors:
Xiaoyu Zhao, Kewei Chen, Hailing Wang, Yufei Gao, Xiangmin Ji, Yanping Li
It is emphasized in the Self-regulated learning (SRL) framework that self-monitoring of learning state is vital for students to keep effective in studying. However, it’s still challenging to get an accurate and timely understanding of their …
Authors:
Haiqing Yu, Minpeng Xu, Xiaolin Xiao, Fangzhou Xu, Dong Ming
Tensor analysis of electroencephalogram (EEG) can extract the activity information and the potential interaction between different brain regions. However, EEG data varies between subjects, and the existing tensor decomposition algorithms cannot …
Authors:
Yunyuan Gao, Congrui Zhang, Jincheng Huang, Ming Meng