Results 31 to 40 of about 101,028 (286)

Resting-state networks in the infant brain [PDF]

Proceedings of the National Academy of Sciences, 2007
In the absence of any overt task performance, it has been shown that spontaneous, intrinsic brain activity is expressed as systemwide, resting-state networks in the adult brain. However, the route to adult patterns of resting-state activity through neuronal development in the human brain is currently unknown.
Peter, Fransson, Beatrice, Skiöld, Sandra, Horsch, Anders, Nordell, Mats, Blennow, Hugo, Lagercrantz, Ulrika, Aden   +6 more
openaire   +2 more sources

Information Flow Between Resting-State Networks [PDF]

Brain Connectivity, 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 RSNs, but the specific pattern of interaction between RSNs is not yet fully understood. To this aim, we
Ibai Díez, Asier Erramuzpe, Iñaki Escudero, Beatriz Mateos, Alberto Cabrera, Daniele Marinazzo, Ernesto J. Sanz-Arigita, Sebastiano Stramaglia, Jesús M. Cortés Diaz   +8 more
openaire   +6 more sources

Correspondence Between Resting-State and Episodic Memory-Task Related Networks in Elderly Subjects

Frontiers in Aging Neuroscience, 2018
Resting-state fMRI studies demonstrated temporally synchronous fluctuations in brain activity among ensembles of brain regions, suggesting the existence of intrinsic functional networks.
Lee Simon-Vermot, Alexander N. W. Taylor, Miguel À. Araque Caballero, Nicolai Franzmeier, Katharina Buerger, Katharina Buerger, Cihan Catak, Daniel Janowitz, Lana M. Kambeitz-Ilankovic, Birgit Ertl-Wagner, Marco Duering, Michael Ewers   +11 more
doaj   +1 more source

Altered resting-state neural networks in children and adolescents with functional neurological disorder

NeuroImage: Clinical, 2022
Objectives: Previous studies with adults suggest that aberrant communication between neural networks underpins functional neurological disorder (FND). The current study adopts a data-driven approach to investigate the extent that functional resting-state
Sabina Rai, Sheryl Foster, Kristi R. Griffiths, Isabella A. Breukelaar, Kasia Kozlowska, Mayuresh S. Korgaonkar   +5 more
doaj   +1 more source

Pattern classification of large-scale functional brain networks : identification of informative neuroimaging markers for epilepsy [PDF]

, 2012
The accurate prediction of general neuropsychiatric disorders, on an individual basis, using resting-state functional magnetic resonance imaging (fMRI) is a challenging task of great clinical significance.
GuangMing Lu, ZhengGe Wang, GuangMing Lu (164664), Cheng, Wei, Jie Zhang (64655), Zhang, ZhiQiang, Jie Zhang, Wang, ZhengGe, Jianfeng Feng (48703), ZhiQiang Zhang, Wei Cheng (52808), ZhengGe Wang (164658), Feng, Jianfeng, Wei Cheng, Jianfeng Feng, WenLian Lu (164662), WenLian Lu, ZhiQiang Zhang (164660), Zhang, Jie, Lu, Wenlian, Lu, GuangMing   +20 more
core   +1 more source

Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis [PDF]

, 2013
Introduction: Functional connectivity (FC) studies have gained immense popularity in the evaluation of several neurological disorders, such as Alzheimer’s disease (AD). AD is a complex disorder, characterised by several pathological features. The problem
Rafael Delgado Y Palacios, Christian Bigot, Van Der Linden, Anne-Marie, Bigot, Christian, Van der Linden, Annemie, Rafael Delgado y Palacios (498616), Verhoye, Marleen, Disha Shah, Annemie Van der Linden, Christian Bigot (498617), Dany V D'Souza, Shah, Disha, Disha Shah (498613), Annemie Van der Linden (2227165), Elisabeth Jonckers, D'Souza, Dany V., Greetje Vanhoutte, Jonckers, Elisabeth, Jelle Praet (498614), Delgado y Palacios, Rafael, Greetje Vanhoutte (498615), Marleen Verhoye, Praet, Jelle, Marleen Verhoye (95635), Vanhoutte, Greetje, Jelle Praet, Elisabeth Jonckers (353117), Dany V. D’Souza (498618)   +27 more
core   +1 more source

Automatic selection of resting-state networks with functional magnetic resonance imaging

Frontiers in Neuroscience, 2013
Functional magnetic resonance imaging (fMRI) during a resting-state condition can reveal the co-activation of specific brain regions in distributed networks, called resting-state networks, which are selected by independent component analysis (ICA) of the
Silvia Francesca eStorti, Emanuela eFormaggio, Roberta eNordio, Paolo eManganotti, Paolo eManganotti, Antonio eFiaschi, Antonio eFiaschi, Alessandra eBertoldo, Gianna Maria eToffolo   +8 more
doaj   +1 more source

Longitudinal changes of resting-state networks in Parkinson's disease. [PDF]

Neuroimage Clin
Deep brain stimulation (DBS), but also the sole implantation of the electrodes and dopaminergic medication, can reduce symptoms in Parkinson's disease (PD) patients. Furthermore, an effect on network activity is known for all three options separately. However, long-term effects have rarely been investigated. Therefore, in the present study, we focus on
Sure M, Hyder R, Kandemir L, Vesper J, Schnitzler A, Florin E.   +5 more
europepmc   +5 more sources

A Baseline for the Multivariate Comparison of Resting-State Networks [PDF]

Frontiers in Systems Neuroscience, 2011
As the size of functional and structural MRI datasets expands, it becomes increasingly important to establish a baseline from which diagnostic relevance may be determined, a processing strategy that efficiently prepares data for analysis, and a statistical approach that identifies important effects in a manner that is both robust and reproducible.
Elena A Allen, Erik B Erhardt, Eswar Damaraju, William Gruner, William Gruner, Judith M Segall, Judith M Segall, Rogers F Silva, Rogers F Silva, Martin eHavlicek, Martin eHavlicek, Srinivas Rachakonda, Jill Fries, Ravi Kalyanam, Ravi Kalyanam, Andrew M Michael, Arvind Caprihan, Jessica A Turner, Jessica A Turner, Tom Eichele, Steven eAdelsheim, Angela D Bryan, Angela D Bryan, Angela D Bryan, Juan eBustillo, Juan eBustillo, Vincent P Clark, Vincent P Clark, Vincent P Clark, Sarah W Feldstein Ewing, Francesca eFilbey, Francesca eFilbey, Corey C Ford, Kent eHutchison, Kent eHutchison, Kent eHutchison, Rex E Jung, Rex E Jung, Kent A Kiehl, Kent A Kiehl, Kent A Kiehl, Piyadasa eKodituwakku, Yuko M Komesu, Andrew R Mayer, Andrew R Mayer, Godfrey D Pearlson, Godfrey D Pearlson, Godfrey D Pearlson, John P Phillips, John P Phillips, Joseph R Sadek, Joseph R Sadek, Michael Stevens, Michael Stevens, Ursina eTeuscher, Ursina eTeuscher, Robert J Thoma, Robert J Thoma, Robert J Thoma, Vince D Calhoun, Vince D Calhoun, Vince D Calhoun, Vince D Calhoun   +62 more
openaire   +3 more sources

Searching multiregression dynamic models of resting-state fMRI networks using integer programming [PDF]

, 2015
A Multiregression Dynamic Model (MDM) is a class of multivariate time series that represents various dynamic causal processes in a graphical way. One of the advantages of this class is that, in contrast to many other Dynamic Bayesian Networks, the ...
Smith, Jim, Cussens, James, Duff, Eugene P., Nichols, Thomas, Makin, Tamar, Costa, Lilia, Smith, J. Q., Duff, Eugene, Makin, Tamar R., Nichols, Thomas E.   +9 more
core   +1 more source