Results 71 to 80 of about 59,362 (311)

Multiscale network activity in resting state fMRI [PDF]

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
The brain is inherently multiscalar in both space and time. We argue that this multiscalar nature is reflected in the blood oxygenation level dependent (BOLD) fluctuations used to map functional connectivity. We present evidence that global fluctuations in activity, quasiperiodic spatiotemporal patterns, and aperiodic time-varying activity coexist ...
Maysam Nezafati, Wen-Ju Pan, Shella D. Keilholz, Jacob Billings, Kai Wang, Sadia Shakil, Claudia Hafeneger, Anzar Abbas   +7 more
openaire   +2 more sources

A Novel Transfer Learning‐Based Hybrid EEG‐fNIRS Brain‐Computer Interface for Intracerebral Hemorrhage Rehabilitation

Advanced Science, EarlyView.
The study has developed the first clinically validated hybrid EEG‐fNIRS brain‐computer interface fusion framework that systematically overcomes cross‐subject generalization barriers through a novel Wasserstein metric‐driven neural template selection mechanism.
Danyang Chen, Jian Shi, Bo Tao, Xingwei Zhao, Zhixian Zhao, Shengjie Li, Yeguang Xu, Tao Ding, Peng Zhang, Qing Ye, Kuiyou Chen, Zhuojin Wu, Yingxin Tang, Wei Jiang, Kai Shu, Li Huang, Zheng You, Ping Zhang, Zhouping Tang   +18 more
wiley   +1 more source

Ten Key Insights into the Use of Spinal Cord fMRI

Brain Sciences, 2018
A comprehensive review of the literature-to-date on functional magnetic resonance imaging (fMRI) of the spinal cord is presented. Spinal fMRI has been shown, over more than two decades of work, to be a reliable tool for detecting neural activity.
Jocelyn M. Powers, Gabriela Ioachim, Patrick W. Stroman   +2 more
doaj   +1 more source

Resting State fMRI-Guided Fiber Clustering [PDF]

, 2011
Fiber clustering is a prerequisite step towards tract-based analysis of white mater integrity via diffusion tensor imaging (DTI) in various clinical neuroscience applications. Many methods reported in the literature used geometric or anatomic information for fiber clustering.
Jinglei Lv, Tianming Liu, Bao Ge, Xintao Hu, Lei Guo, Junwei Han, Tuo Zhang   +6 more
openaire   +3 more sources

Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication

Advanced Science, EarlyView.
By developing a novel framework that optimizes both shape and temporal loss during decoder training, the authors successfully reconstruct human‐recognizable handwriting trajectories from intracortical neural signals for both Chinese characters and English letters, effectively resolving the temporal misalignment problem in clinical BCIs, thereby ...
Guangxiang Xu, Zebin Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Yueming Wang, Yaoyao Hao   +6 more
wiley   +1 more source

Detecting language network alterations in mild cognitive impairment using task‐based fMRI and resting‐state fMRI: A comparative study

Brain and Behavior
Objective The objective of this study was to investigate the functional changes associated with mild cognitive impairment (MCI) using independent component analysis (ICA) with the word generation task functional magnetic resonance imaging (fMRI) and ...
Kerem Kemik, Emel Ada, Berrin Çavuşoğlu, Cansu Aykaç, Derya Durusu Emek Savaş, Görsev Yener   +5 more
doaj   +1 more source

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Advanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He, Yifan Du, Ziqi Fu, Youcun Zheng, Nils Muhlert, Barbara Sahakian, Rebecca Elliott   +6 more
wiley   +1 more source

Neurovascular coupling in eye-open-eye-close task and resting state: Spectral correspondence between concurrent EEG and fMRI

NeuroImage
Neurovascular coupling serves as an essential neurophysiological mechanism in functional neuroimaging, which is generally presumed to be robust and invariant across different physiological states, encompassing both task engagement and resting state ...
Yi-Chia Kung, Chia-Wei Li, Ai-Ling Hsu, Chi-Yun Liu, Changwei W. Wu, Wei-Chou Chang, Ching-Po Lin   +6 more
doaj   +1 more source

Sampling Rate Effects on Resting State fMRI Metrics [PDF]

Frontiers in Neuroscience, 2019
Low image sampling rates used in resting state functional magnetic resonance imaging (rs-fMRI) may cause aliasing of the cardiorespiratory pulsations over the very low frequency (VLF) BOLD signal fluctuations which reflects to functional connectivity (FC). In this study, we examine the effect of sampling rate on currently used rs-fMRI FC metrics. Ultra-
Vesa Kiviniemi, Vesa Kiviniemi, Lauri Raitamaa, Lauri Raitamaa, Ville Raatikainen, Ville Raatikainen, Janne Kananen, Janne Kananen, Vesa Korhonen, Vesa Korhonen, Aleksi Rasila, Aleksi Rasila, Viola Borchardt, Viola Borchardt, Heta Helakari, Heta Helakari, Jussi Kantola, Jussi Kantola, Niko Huotari, Niko Huotari, Timo Tuovinen, Timo Tuovinen   +21 more
openaire   +4 more sources

BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks

Advanced Science, EarlyView.
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti, Gemma Fernández‐Rubio, Mathias H. Andersen, Chiara Malvaso, Francesco Carlomagno, Claudia Testa, Peter Vuust, Morten L. Kringelbach, Mattia Rosso   +8 more
wiley   +1 more source