Results 41 to 50 of about 58,330 (264)

Precision connectivity in osteoarthritis pain with permutation and network analysis: a key step toward clinical application

BMC Medical Imaging
Objective This study seeks to identify brain regions with atypical neural connectivity in individuals suffering from arthritis-related chronic pain, compared to healthy controls, using resting-state functional magnetic resonance imaging (rs-fMRI ...
Belfin Robinson, Emilio G. Cediel, William Reuther, Aryan Kodali, Ellora Srabani, Olivia Leggio, Vibhor Krishna, Varina L. Boerwinkle   +7 more
doaj   +1 more source

Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia

Frontiers in Neuroscience, 2019
Machine learning classification techniques are frequently applied to structural and resting-state fMRI data to identify brain-based biomarkers for developmental disorders. However, task-related fMRI has rarely been used as a diagnostic tool.
Philippe Albouy, Philippe Albouy, Anne Caclin, Anne Caclin, Sam V. Norman-Haignere, Sam V. Norman-Haignere, Yohana Lévêque, Yohana Lévêque, Isabelle Peretz, Barbara Tillmann, Barbara Tillmann, Robert J. Zatorre, Robert J. Zatorre   +12 more
doaj   +1 more source

Spatio-temporal correlation tensors reveal functional structure in human brain. [PDF]

PLoS ONE, 2013
Resting state functional magnetic resonance imaging (fMRI) has been commonly used to measure functional connectivity between cortical regions, while diffusion tensor imaging (DTI) can be used to characterize structural connectivity of white matter tracts.
Zhaohua Ding, Allen T Newton, Ran Xu, Adam W Anderson, Victoria L Morgan, John C Gore   +5 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-
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

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 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

Resting-state fMRI in the Human Connectome Project [PDF]

NeuroImage, 2013
Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI scanner, and taking advantage of the fact that functionally related brain regions spontaneously co-activate. rfMRI is one of the two primary data modalities being acquired for
Smith SM1, Beckmann CF, Andersson J, Auerbach EJ, Bijsterbosch J, Douaud G, Duff E, Feinberg DA, Griffanti L, Harms MP, Kelly M, Laumann T, Miller KL, Moeller S, Petersen S, Power J, Salimi Khorshidi G, Snyder AZ, Vu AT, Woolrich MW, Xu J, Yacoub E, Uğurbil K, Van Essen DC, Glasser MF, DE PASQUALE, Francesco, WU Minn HCP Consortium   +26 more
openaire   +7 more sources

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 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

3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface

Advanced Materials, EarlyView.
3D printed MRI‐compatible tissue‐like neural electrodes tailored to individual gyral patterns. This honeycomb‐inspired printable gel electrode (HiPGE) employs a bioinspired architecture with soft hydrogels, engineered to match the softness of brain tissue.
Marzia Momin, Luyi Feng, Xiaoai Chen, Salahuddin Ahmed, Basma AlMahmood, Li‐Pang Huang, Jiashu Ren, Xinyi Wang, Hyunjin Lee, Samuel R. Cramer, Nanyin Zhang, Sulin Zhang, Tao Zhou   +12 more
wiley   +1 more source