Results 31 to 40 of about 275,870 (243)

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

Hemodynamic and electrophysiological evidence of resting-state network activity in the primate [PDF]

, 2008
An expanding body of literature describes the existence of concerted brain activations in the absence of any external stimuli. Resting-state networks have been identified and demonstrated to be modulated during the performance of specific cognitive ...
Wei Shen, Felix Darvas, Allen Ardestani, Joaquin Fuster, Arthur Toga   +4 more
core   +2 more sources

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

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

Resting-state networks representation of the global phenomena

Frontiers in Neuroscience, 2023
Resting-state functional magnetic resonance imaging (rsfMRI) has been widely applied to investigate spontaneous neural activity, often based on its macroscopic organization that is termed resting-state networks (RSNs). Although the neurophysiological mechanisms underlying the RSN organization remain largely unknown, accumulating evidence points to a ...
Shiori Amemiya, Hidemasa Takao, Shouhei Hanaoka, Osamu Abe   +3 more
openaire   +3 more sources

Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks

Frontiers in Human Neuroscience, 2013
There is a growing interest in studies of human brain networks using resting-state functional magnetic resonance imaging (fMRI). However, it is unclear whether and how brain networks measured during the resting-state exhibit comparable properties to ...
Xin eDi, Suril eGohel, Eun H Kim, Bharat B Biswal   +3 more
doaj   +1 more source

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

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

Frontiers in Psychiatry, 2021
Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data.
Fanglan Wang, Khamlesh Hujjaree, Xiaoping Wang   +2 more
doaj   +1 more source

The Resting-State Neural Network of Delay Discounting

Frontiers in Psychology, 2022
Delay discounting is a common phenomenon in daily life, which refers to the subjective value of a future reward decreasing as a function of time. Previous studies have identified several cortical regions involved in delay discounting, but the neural network constructed by the cortical regions of delay discounting is less clear.
Fan Yang, Xueting Li, Ping Hu
openaire   +3 more sources