The most common feedback displays in the fMRI environment are visual, e.g., in which participants try to increase or decrease the level of a thermometer. However, haptic feedback is increasingly valued in computer interaction tasks, particularly for real-time fMRI feedback. fMRI-neurofeedback is a clinical intervention that has not yet taken advantage of this trend. Here we describe a low-cost, user-friendly, MR-compatible system that can provide graded haptic vibrotactile stimulation in an initial application to fMRI neurofeedback. We also present a feasibility demonstration showing that we could successfully set up the system and obtain data in the context of a neurofeedback paradigm. We conclude that vibrotactile stimulation using this low-cost system is a viable method of feedback presentation, and encourage neurofeedback researchers to incorporate this type of feedback into their studies.
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http://dx.doi.org/10.3390/brainsci10110790 | DOI Listing |
Biomed Phys Eng Express
January 2025
Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA, United States of America.
This study aimed to develop and evaluate an efficient method to automatically segment T1- and T2-weighted brain magnetic resonance imaging (MRI) images. We specifically compared the segmentation performance of individual convolutional neural network (CNN) models against an ensemble approach to advance the accuracy of MRI-guided radiotherapy (RT) planning..
View Article and Find Full Text PDFProc IEEE Int Conf Acoust Speech Signal Process
April 2024
Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
Physics-driven deep learning (PD-DL) techniques have recently emerged as a powerful means for improved computational imaging, including in MRI applications. These methods use the physics information by incorporating the known forward model for data fidelity, while performing regularization using neural networks. There has been substantial progress in the training of PD-DL reconstruction methods, ranging from simple supervised learning to more practical self-supervised learning and generative models that allow training without reference data.
View Article and Find Full Text PDFiScience
January 2025
Department of Thoracic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Currently, the primary imaging methods used in clinical diagnosis are X-ray, computed tomography (CT), ultrasound, magnetic resonance imaging (MRI), PET-CT, etc. The sensitivity and accuracy of these imaging methods bring many difficulties in clinical diagnosis; at the same time, CT, X-ray, PET-CT, etc. can cause radiation to the human body; some invasive operations of the gold standard bring much pain to the patients.
View Article and Find Full Text PDFEur Stroke J
January 2025
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Accurate diagnosis of cerebral amyloid angiopathy (CAA) in surviving patients is indispensable for making treatment decisions and conducting clinical trials. We aimed to evaluate the diagnostic value and clinical utility of the simplified Edinburgh computed tomography (CT) criteria for CAA-related hemorrhage in Chinese patients.
Methods: We analyzed 212 patients with lobar hemorrhage who underwent brain CT and magnetic resonance imaging (MRI) from a multicentre cohort.
Magn Reson Imaging
January 2025
Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No.37 Guo Xue Alley, Chengdu, Sichuan 610041, China. Electronic address:
Microstructural parameters are essential in tumor research, aiding in the understanding tumor pathogenesis, grading, and therapeutic efficacy. The imaging microstructural parameters using limited spectrally edited diffusion (IMPULSED) model is the most widely used MR cell size imaging technique, demonstrating success in measuring microstructural parameters of solid tumors in vivo. However, its clinical application is limited by the longer scan times required for both pulsed gradient spin-echo (PGSE) and multiple oscillating gradient spin-echo (OGSE) acquisitions across a range of b-values, which can be burdensome for patients and disrupt clinical workflows.
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