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Magnetic resonance imaging~(MRI) have played a crucial role in brain disease diagnosis, with which a range of computer-aided artificial intelligence methods have been proposed. However, the early explorations usually focus on the limited…

Computer Vision and Pattern Recognition · Computer Science 2023-09-14 Jiayu Lei , Lisong Dai , Haoyun Jiang , Chaoyi Wu , Xiaoman Zhang , Yao Zhang , Jiangchao Yao , Weidi Xie , Yanyong Zhang , Yuehua Li , Ya Zhang , Yanfeng Wang

Motivation: Conventional echo planar imaging(EPI) based functional MRI(fMRI) uses the BOLD contrast to map activity changes in human brains. Introducing an efficient ZTE sequence for functional brain mapping can help address limitations of…

Medical Physics · Physics 2025-10-28 Ali Caglar Ozen , Shuai Liu , Serhat Ilbey , Michael Bock , Uzay Emir , Yen-Yu Ian Shih

Transmitter arrays play a critical role in ultra high field Magnetic Resonance Imaging (MRI), especially given the advantages made possible via parallel transmission (pTx) techniques. One of the challenges in design and construction of…

Dynamical modeling of multisite human intracranial neural recordings is essential for developing neurotechnologies such as brain-computer interfaces (BCIs). Linear dynamical models are widely used for this purpose due to their…

Neurons and Cognition · Quantitative Biology 2025-12-30 Kiarash Vaziri , Lucine L. Oganesian , HyeongChan Jo , Roberto M. C. Vera , Charles Y. Liu , Brian Lee , Maryam M. Shanechi

As computing resource demands continue to escalate in the face of big data, cloud-connectivity and the internet of things, it has become imperative to develop new low-power, scalable architectures. Neuromorphic photonics, or photonic neural…

Calcium imaging allows for the parallel measurement of large neuronal populations in a spatially resolved and minimally invasive manner, and has become a gold-standard for neuronal functionality. While deep generative models have been…

Neurons and Cognition · Quantitative Biology 2025-10-02 Berta Ros , Mireia Olives-Verger , Caterina Fuses , Josep M Canals , Jordi Soriano , Jordi Abante

An unprecedented amount of existing functional Magnetic Resonance Imaging (fMRI) data provides a new opportunity to understand the relationship between functional fluctuation and human cognition/behavior using a data-driven approach. To…

Machine Learning · Computer Science 2024-09-18 Jiaqi Ding , Tingting Dan , Ziquan Wei , Hyuna Cho , Paul J. Laurienti , Won Hwa Kim , Guorong Wu

Neuroimaging has profoundly enhanced our understanding of the human brain by characterizing its structure, function, and connectivity through modalities like MRI, fMRI, EEG, and PET. These technologies have enabled major breakthroughs…

Applications · Statistics 2026-02-16 Jian Kang , Thomas Nichols , Lexin Li , Martin A. Lindquist , Hongtu Zhu

There are multiple scales of abstraction from which we can describe the same image, depending on whether we are focusing on fine-grained details or a more global attribute of the image. In brain mapping, learning to automatically parse…

Intraoperative optical imaging is a localization technique for the functional areas of the human brain cortex during neurosurgical procedures. These areas can be assessed by monitoring cerebral hemodynamics and metabolism. A robust…

Smart rings have emerged as uniquely convenient devices for continuous physiological and behavioral sensing, offering unobtrusive, constant access to metrics such as heart rate, motion, and skin temperature. Yet most commercial solutions…

Computational Engineering, Finance, and Science · Computer Science 2025-08-04 Jiankai Tang , Zhe He , Mingyu Zhang , Wei Geng , Chengchi Zhou , Weinan Shi , Yuanchun Shi , Yuntao Wang

Functional magnetic resonance imaging (fMRI) is a neuroimaging technique that records neural activations in the brain by capturing the blood oxygen level in different regions based on the task performed by a subject. Given fMRI data, the…

Computer Vision and Pattern Recognition · Computer Science 2021-09-21 Ashish Jaiswal , Ashwin Ramesh Babu , Mohammad Zaki Zadeh , Fillia Makedon , Glenn Wylie

Registration of brain MRI images requires to solve a deformation field, which is extremely difficult in aligning intricate brain tissues, e.g., subcortical nuclei, etc. Existing efforts resort to decomposing the target deformation field…

Image and Video Processing · Electrical Eng. & Systems 2022-04-27 Jinxin Lv , Zhiwei Wang , Hongkuan Shi , Haobo Zhang , Sheng Wang , Yilang Wang , Qiang Li

Neural probes are in vivo invasive devices that combine electrophysiology and optogenetics to gain insight into how the brain operates, down to the single neuron and its network activity. Their integration of stimulation sites and sensors…

An important field of research in functional neuroimaging is the discovery of integrated, distributed brain systems and networks, whose different regions need to work in unison for normal functioning. The EEG is a non-invasive technique…

The reconstruction of human visual inputs from brain activity, particularly through functional Magnetic Resonance Imaging (fMRI), holds promising avenues for unraveling the mechanisms of the human visual system. Despite the significant…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Yujian Xiong , Wenhui Zhu , Zhong-Lin Lu , Yalin Wang

Objective. Reliable, continuous neural sensing on wearable edge platforms is fundamental to long-term health monitoring; however, for electroencephalography (EEG)-based sleep monitoring, dense high-frequency processing is often…

Signal Processing · Electrical Eng. & Systems 2026-02-24 Boyu Li , Xingchun Zhu , Yonghui Wu

Understanding how the brain encodes external stimuli and how these stimuli can be decoded from the measured brain activities are long-standing and challenging questions in neuroscience. In this paper, we focus on reconstructing the complex…

Neurons and Cognition · Quantitative Biology 2022-10-05 Sikun Lin , Thomas Sprague , Ambuj K Singh

Neuronal electrical activity underlies human cognition including perception, attention, memory, language, and decision-making. Yet its direct, noninvasive measurement in the living human brain remains a fundamental challenge. Existing…

Seeing is believing, however, the underlying mechanism of how human visual perceptions are intertwined with our cognitions is still a mystery. Thanks to the recent advances in both neuroscience and artificial intelligence, we have been able…

Image and Video Processing · Electrical Eng. & Systems 2023-08-17 Yu-Ting Lan , Kan Ren , Yansen Wang , Wei-Long Zheng , Dongsheng Li , Bao-Liang Lu , Lili Qiu
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