Bin He

Brain function and dysfunction are encoded in networks within the brain that are distributed over 3-dimensional space and evolves in time. It is of great importance to image brain activation and functional connectivity which are the building blocks of neural... Read more

Bradley J. Edelman, Bryan Baxter, Bin He, University of Minnesota, USA Brain-computer interfaces (BCIs) based on sensorimotor rhythms (SMRs) have achieved successful control of real and virtual devices in up to three dimensions. SMR BCI control signals are founded on the user’s... Read more

Abbas Sohrabpour, Shuai Ye, Gregory Worrell, Wenbo Zhang, Bin He, University of Minnesota, USA Electromagnetic source imaging (ESI) techniques are very efficient in determining the foci of activity from surface electromagnetic measurements such as EEG and MEG. However, due to the... Read more

Adaptive beamformer methods have been used extensively for functional brain imaging using EEG/MEG surface recordings. However, the sensitivity of beamformers to model mismatches impedes their widespread application, in practice. In this study, we propose a state-of-the-art technique, termed robust minimum... Read more

Electrical properties (EPs), namely conductivity and permittivity, are fundamental properties of materials, describing their capability to transfer electrical current or store energy of the electrical field inside the media. In biological tissue, there is a close relationship between EPs and... Read more

Brain-computer interfacing (BCI) is a promising method for providing alternative connections between the brain and the outside world in concert with natural connections or re-establishing natural limb movement in cases where these have been potentially disrupted by disease or injury.... Read more

Objective: This paper proposes a novel method to localize origins of premature ventricular contractions (PVCs) from 12-lead electrocardiography (ECG) using convolutional neural network (CNN) and a realistic computer heart model. Methods: The proposed method consists of two CNNs (Segment CNN... Read more

Kai Yu, Abbas Sohrabpour, Bin He, University of Minnesota, USA Transcranial focused ultrasound (tFUS) has been introduced as a noninvasive neuromodulation technique with good spatial selectivity. However, there is an unanswered question of whether low-intensity tFUS (much lower than FDA’s regulations)... Read more

Low-intensity transcranial focused ultrasound (tFUS) is a non-invasive brain stimulation tool for reversibly modulating brain circuits. How the tFUS influences the human voluntary motor processing in the brain remains unclear. We applied the tFUS to modulate the movement-related cortical potential (MRCP) originating from human subjects practicing a voluntary foot tapping task. The MRCP source was reconstructed and evaluated for assessing the tFUS neuromodulatory effects on the voluntary MRCP. The effect of ultrasound pulse repetition frequency was further assessed in modulating the MRCP. This work provides the first evidence of tFUS enhancing the human endogenous motor cortical activities through excitatory modulation... Read more