Literature DB >> 26081790

Rethinking segregation and integration: contributions of whole-brain modelling.

Gustavo Deco1, Giulio Tononi2, Melanie Boly3, Morten L Kringelbach4.   

Abstract

The brain regulates information flow by balancing the segregation and integration of incoming stimuli to facilitate flexible cognition and behaviour. The topological features of brain networks--in particular, network communities and hubs--support this segregation and integration but do not provide information about how external inputs are processed dynamically (that is, over time). Experiments in which the consequences of selective inputs on brain activity are controlled and traced with great precision could provide such information. However, such strategies have thus far had limited success. By contrast, recent whole-brain computational modelling approaches have enabled us to start assessing the effect of input perturbations on brain dynamics in silico.

Mesh:

Year:  2015        PMID: 26081790     DOI: 10.1038/nrn3963

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  79 in total

1.  Network architecture of the long-distance pathways in the macaque brain.

Authors:  Dharmendra S Modha; Raghavendra Singh
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-13       Impact factor: 11.205

Review 2.  Ethical brain stimulation - neuroethics of deep brain stimulation in research and clinical practice.

Authors:  Jens Clausen
Journal:  Eur J Neurosci       Date:  2010-10       Impact factor: 3.386

3.  A theoretically based index of consciousness independent of sensory processing and behavior.

Authors:  Adenauer G Casali; Olivia Gosseries; Mario Rosanova; Mélanie Boly; Simone Sarasso; Karina R Casali; Silvia Casarotto; Marie-Aurélie Bruno; Steven Laureys; Giulio Tononi; Marcello Massimini
Journal:  Sci Transl Med       Date:  2013-08-14       Impact factor: 17.956

4.  Complexity and coherency: integrating information in the brain.

Authors:  G Tononi; G M Edelman; O Sporns
Journal:  Trends Cogn Sci       Date:  1998-12-01       Impact factor: 20.229

5.  On spurious and real fluctuations of dynamic functional connectivity during rest.

Authors:  Nora Leonardi; Dimitri Van De Ville
Journal:  Neuroimage       Date:  2014-09-16       Impact factor: 6.556

6.  How local excitation-inhibition ratio impacts the whole brain dynamics.

Authors:  Gustavo Deco; Adrián Ponce-Alvarez; Patric Hagmann; Gian Luca Romani; Dante Mantini; Maurizio Corbetta
Journal:  J Neurosci       Date:  2014-06-04       Impact factor: 6.167

7.  Identification of optimal structural connectivity using functional connectivity and neural modeling.

Authors:  Gustavo Deco; Anthony R McIntosh; Kelly Shen; R Matthew Hutchison; Ravi S Menon; Stefan Everling; Patric Hagmann; Viktor K Jirsa
Journal:  J Neurosci       Date:  2014-06-04       Impact factor: 6.167

8.  Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks.

Authors:  Gorka Zamora-López; Changsong Zhou; Jürgen Kurths
Journal:  Front Neuroinform       Date:  2010-03-19       Impact factor: 4.081

Review 9.  Translational principles of deep brain stimulation.

Authors:  Morten L Kringelbach; Ned Jenkinson; Sarah L F Owen; Tipu Z Aziz
Journal:  Nat Rev Neurosci       Date:  2007-08       Impact factor: 34.870

10.  Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep.

Authors:  M Schabus; T T Dang-Vu; G Albouy; E Balteau; M Boly; J Carrier; A Darsaud; C Degueldre; M Desseilles; S Gais; C Phillips; G Rauchs; C Schnakers; V Sterpenich; G Vandewalle; A Luxen; P Maquet
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-01       Impact factor: 11.205

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  127 in total

1.  The modular and integrative functional architecture of the human brain.

Authors:  Maxwell A Bertolero; B T Thomas Yeo; Mark D'Esposito
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-23       Impact factor: 11.205

2.  The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy.

Authors:  Daniel Chicharro; Giuseppe Pica; Stefano Panzeri
Journal:  Entropy (Basel)       Date:  2018-03-05       Impact factor: 2.524

3.  Awakening: Predicting external stimulation to force transitions between different brain states.

Authors:  Gustavo Deco; Josephine Cruzat; Joana Cabral; Enzo Tagliazucchi; Helmut Laufs; Nikos K Logothetis; Morten L Kringelbach
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-19       Impact factor: 11.205

4.  Unified framework for information integration based on information geometry.

Authors:  Masafumi Oizumi; Naotsugu Tsuchiya; Shun-Ichi Amari
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-06       Impact factor: 11.205

5.  Dynamic Reconfiguration of Visuomotor-Related Functional Connectivity Networks.

Authors:  Andrea Brovelli; Jean-Michel Badier; Francesca Bonini; Fabrice Bartolomei; Olivier Coulon; Guillaume Auzias
Journal:  J Neurosci       Date:  2017-01-25       Impact factor: 6.167

6.  A statistical model for brain networks inferred from large-scale electrophysiological signals.

Authors:  Catalina Obando; Fabrizio De Vico Fallani
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

7.  Dopamine depletion alters macroscopic network dynamics in Parkinson's disease.

Authors:  James M Shine; Peter T Bell; Elie Matar; Russell A Poldrack; Simon J G Lewis; Glenda M Halliday; Claire O'Callaghan
Journal:  Brain       Date:  2019-04-01       Impact factor: 13.501

8.  The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance.

Authors:  James M Shine; Patrick G Bissett; Peter T Bell; Oluwasanmi Koyejo; Joshua H Balsters; Krzysztof J Gorgolewski; Craig A Moodie; Russell A Poldrack
Journal:  Neuron       Date:  2016-09-29       Impact factor: 17.173

9.  Virtual Connectomic Datasets in Alzheimer's Disease and Aging Using Whole-Brain Network Dynamics Modelling.

Authors:  Lucas Arbabyazd; Kelly Shen; Zheng Wang; Martin Hofmann-Apitius; Petra Ritter; Anthony R McIntosh; Demian Battaglia; Viktor Jirsa
Journal:  eNeuro       Date:  2021-07-06

10.  Cross-frequency synchronization connects networks of fast and slow oscillations during visual working memory maintenance.

Authors:  Felix Siebenhühner; Sheng H Wang; J Matias Palva; Satu Palva
Journal:  Elife       Date:  2016-09-26       Impact factor: 8.140

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