Results 41 to 50 of about 63,144 (227)

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +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

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

Visual learning induces changes in resting-state fMRI multivariate pattern of information [PDF]

, 2015
When measured with functional magnetic resonance imaging (fMRI) in the resting state (R-fMRI), spontaneous activity is correlated between brain regions that are anatomically and functionally related. Learning and/or task performance can induce modulation
Baldassarre, Antonello, Corbetta, Maurizio, Gratta, Cosimo Del, Guidotti, Roberto, Romani, Gian Luca   +4 more
core   +2 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

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

Thalamo-cortical network activity between migraine attacks. Insights from MRI-based microstructural and functional resting-state network correlation analysis [PDF]

, 2016
BACKGROUND: Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in ...
Colonnese, Claudio, Coppola, Gianluca, DI LORENZO, Cherubino, Di Lorenzo, Giorgio, DI RENZO, Antonio, Lepre, Chiara, Parisi, Vincenzo, Pierelli, Francesco, Scapeccia, Marco, Schoenen, Jean, Serrao, Mariano, Tinelli, Emanuele   +11 more
core   +1 more source

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

Information flow between resting state networks [PDF]

, 2015
The resting brain dynamics self-organizes into a finite number of correlated patterns known as resting state networks (RSNs). It is well known that techniques like independent component analysis can separate the brain activity at rest to provide such ...
Alberto Cabrera, Asier Erramuzpe, Beatriz Mateos, Daniele Marinazzo, Ernesto J. Sanz-Arigita, Ibai Diez, Iñaki Escudero, Jesus M. Cortes Diaz, null null, Sebastiano Stramaglia   +9 more
core   +4 more sources

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

Arthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox, Saeed Farooq, Helen Twohig, Ian C. Scott   +3 more
wiley   +1 more source