scholarly journals Neuronal dynamics enable the functional differentiation of resting state networks in the human brain

2018 ◽  
Vol 40 (5) ◽  
pp. 1445-1457 ◽  
Author(s):  
Marco Marino ◽  
Quanying Liu ◽  
Jessica Samogin ◽  
Franca Tecchio ◽  
Carlo Cottone ◽  
...  
Keyword(s):  
Human Brain ◽  
Resting State ◽  
Functional Differentiation ◽  
Resting State Networks ◽  
Neuronal Dynamics

scholarly journals Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain

2009 ◽  
Vol 30 (10) ◽  
pp. 3127-3141 ◽  
Author(s):  
Martijn P. van den Heuvel ◽  
René C.W. Mandl ◽  
René S. Kahn ◽  
Hilleke E. Hulshoff Pol
Keyword(s):  
Human Brain ◽  
Resting State ◽  
Structural Connectivity ◽  
Resting State Networks

scholarly journals A Domain-general Cognitive Core defined in Multimodally Parcellated Human Cortex

2019 ◽  
Author(s):  
Moataz Assem ◽  
Matthew F. Glasser ◽  
David C. Van Essen ◽  
John Duncan
Keyword(s):  
Resting State ◽  
Spatial Localization ◽  
Functional Differentiation ◽  
Resting State Networks ◽  
Activation Pattern ◽  
Imaging Studies ◽  
Human Cortex ◽  
Mri Features ◽  
Cognitive Operations ◽  
Human Connectome Project

AbstractNumerous brain imaging studies identified a domain-general or “multiple-demand” (MD) activation pattern accompanying many tasks and may play a core role in cognitive control. Though this finding is well established, the limited spatial localization provided by traditional imaging methods precluded a consensus regarding the precise anatomy, functional differentiation and connectivity of the MD system. To address these limitations, we used data from 449 subjects from the Human Connectome Project, with cortex of each individual parcellated using neurobiologically grounded multi-modal MRI features. The conjunction of three cognitive contrasts reveals a core of 10 widely distributed MD parcels per hemisphere that are most strongly activated and functionally interconnected, surrounded by a penumbra of 17 additional areas. Outside cerebral cortex, MD activation is most prominent in the caudate and cerebellum. Comparison with canonical resting state networks shows MD regions concentrated in the fronto-parietal network but also engaging three other networks. MD activations show modest relative task preferences accompanying strong co-recruitment. With distributed anatomical organization, mosaic functional preferences, and strong interconnectivity, we suggest MD regions are well positioned to integrate and assemble the diverse components of cognitive operations. Our precise delineation of MD regions provides a basis for refined analyses of their functions.

scholarly journals Emergence of resting state networks in the preterm human brain

2010 ◽  
Vol 107 (46) ◽  
pp. 20015-20020 ◽  
Author(s):  
V. Doria ◽  
C. F. Beckmann ◽  
T. Arichi ◽  
N. Merchant ◽  
M. Groppo ◽  
...  
Keyword(s):  
Human Brain ◽  
Resting State ◽  
Resting State Networks

scholarly journals Scale-invariant rearrangement of resting state networks in the human brain under sustained stimulation

NeuroImage ◽  
2018 ◽  
Vol 179 ◽  
pp. 570-581 ◽  
Author(s):  
Silvia Tommasin ◽  
Daniele Mascali ◽  
Marta Moraschi ◽  
Tommaso Gili ◽  
Ibrahim Eid Hassan ◽  
...  
Keyword(s):  
Human Brain ◽  
Resting State ◽  
Resting State Networks ◽  
Scale Invariant

scholarly journals The dynamic modular fingerprints of the human brain at rest

2020 ◽  
Author(s):  
Aya Kabbara ◽  
Veronique Paban ◽  
Mahmoud Hassan
Keyword(s):  
Human Brain ◽  
Resting State ◽  
Brain Networks ◽  
Brain Network ◽  
Strongly Correlated ◽  
Resting State Networks ◽  
Modular Network ◽  
Track Dynamics ◽  
Network Pattern ◽  
Over Time

AbstractThe human brain is a dynamic modular network that can be decomposed into a set of modules and its activity changes permanently over time. At rest, several brain networks, known as Resting-State Networks (RSNs), emerge and cross-communicate even at sub-second temporal scale. Here, we seek to decipher the fast reshaping in spontaneous brain modularity and its relationship to RSNs. We use Electro/Magneto-Encephalography (EEG/MEG) to track dynamics of modular brain networks, in three independent datasets (N= 568) of healthy subjects at rest. We show the presence of striking spatiotemporal network pattern consistent over participants. We also show that some RSNs, such as default mode network and temporal network, are not necessary ‘unified units’ but rather can be divided into multiple sub-networks over time. Using the resting state questionnaire, our results revealed also that brain network dynamics are strongly correlated to mental imagery at rest. These findings add new perspectives to brain dynamic analysis and highlight the importance of tracking fast reconfiguration of electrophysiological networks at rest.

scholarly journals Electrophysiological signatures of resting state networks in the human brain

2007 ◽  
Vol 104 (32) ◽  
pp. 13170-13175 ◽  
Author(s):  
D. Mantini ◽  
M. G. Perrucci ◽  
C. Del Gratta ◽  
G. L. Romani ◽  
M. Corbetta
Keyword(s):  
Human Brain ◽  
Resting State ◽  
Resting State Networks

scholarly journals Spinal Cord Injury Disrupts Resting-State Networks in the Human Brain

2018 ◽  
Vol 35 (6) ◽  
pp. 864-873 ◽  
Author(s):  
Ammar H. Hawasli ◽  
Jerrel Rutlin ◽  
Jarod L. Roland ◽  
Rory K.J. Murphy ◽  
Sheng-Kwei Song ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Human Brain ◽  
Resting State ◽  
Resting State Networks ◽  
Cord Injury
Sign in / Sign up

Export Citation Format

Share Document