Results 71 to 80 of about 271,169 (372)

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-
Niko Huotari, Niko Huotari, Lauri Raitamaa, Lauri Raitamaa, Heta Helakari, Heta Helakari, Janne Kananen, Janne Kananen, Ville Raatikainen, Ville Raatikainen, Aleksi Rasila, Aleksi Rasila, Timo Tuovinen, Timo Tuovinen, Jussi Kantola, Jussi Kantola, Viola Borchardt, Viola Borchardt, Vesa J. Kiviniemi, Vesa J. Kiviniemi, Vesa O. Korhonen, Vesa O. Korhonen   +21 more
openaire   +4 more sources

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy

NeuroImage: Clinical, 2015
Anti-epileptic drugs (AEDs) have a global effect on the neurophysiology of the brain which is most likely reflected in functional brain activity recorded with EEG and fMRI.
Kees Hermans, Pauly Ossenblok, Petra van Houdt, Liesbeth Geerts, Rudolf Verdaasdonk, Paul Boon, Albert Colon, Jan C. de Munck   +7 more
doaj   +1 more source

Disambiguating the role of blood flow and global signal with partial information decomposition [PDF]

, 2019
Global signal (GS) is an ubiquitous construct in resting state functional magnetic resonance imaging (rs-fMRI), associated to nuisance, but containing by definition most of the neuronal signal.
Calhoun, Vince D., Colenbier, Nigel, Marinazzo, Daniele, Poldrack, Russell A., Uddin, Lucina Q., Van de Steen, Frederik   +5 more
core   +2 more sources

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Clinical applications of resting state functional connectivity

Frontiers in Systems Neuroscience, 2010
During resting conditions the brain remains functionally and metabolically active. One manifestation of this activity that has become an important research tool is spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of fMRI.
Michael D Fox, Michael Greicius
doaj   +1 more source

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture [PDF]

Front. Neuroinform., 2017
Machine learning techniques have become increasingly popular in the field of resting state fMRI (functional magnetic resonance imaging) network based classification.
R. Meszlényi, Krisztián Búza, Z. Vidnyánszky   +2 more
semanticscholar   +1 more source

Estimating effective connectivity in linear brain network models

, 2017
Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring from measure data, chiefly functional Magnetic Resonance Imaging (fMRI ...
Bertoldo, Alessandra, Chiuso, Alessandro, Prando, Giulia, Zorzi, Mattia   +3 more
core   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

Advanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu, the CHIMGEN Consortium   +51 more
wiley   +1 more source

Examining resting-state functional connectivity in first-episode schizophrenia with 7T fMRI and MEG

NeuroImage: Clinical, 2019
Schizophrenia is often characterized by dysconnections in the brain, which can be estimated via functional connectivity analyses. Commonly measured using resting-state functional magnetic resonance imaging (fMRI) in order to characterize the intrinsic or
Kristin K. Lottman, Timothy J. Gawne, Nina V. Kraguljac, Jeffrey F. Killen, Meredith A. Reid, Adrienne C. Lahti   +5 more
doaj   +1 more source