Literature DB >> 29999413

The Human Brain Traverses a Common Activation-Pattern State Space Across Task and Rest.

Richard H Chen1,2, Takuya Ito1,2, Kaustubh R Kulkarni1, Michael W Cole1.   

Abstract

Much of our lives are spent in unconstrained rest states, yet cognitive brain processes are primarily investigated using task-constrained states. It may be possible to utilize the insights gained from experimental control of task processes as reference points for investigating unconstrained rest. To facilitate comparison of rest and task functional magnetic resonance imaging data, we focused on activation amplitude patterns, commonly used for task but not rest analyses. During rest, we identified spontaneous changes in temporally extended whole-brain activation-pattern states. This revealed a hierarchical organization of rest states. The top consisted of two competing states consistent with previously identified "task-positive" and "task-negative" activation patterns. These states were composed of more specific states that repeated over time and across individuals. Contrasting with the view that rest consists of only task-negative states, task-positive states occurred 40% of the time while individuals "rested," suggesting task-focused activity may occur during rest. Together our results suggest that brain activation dynamics form a general hierarchy across task and rest, with a small number of dominant general states reflecting basic functional modes and a variety of specific states potentially reflecting a wide variety of cognitive processes.

Entities:  

Keywords:  community detection; dynamics; fMRI; graph theory; resting-state

Year:  2018        PMID: 29999413      PMCID: PMC6152856          DOI: 10.1089/brain.2018.0586

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  61 in total

1.  Temporally-independent functional modes of spontaneous brain activity.

Authors:  Stephen M Smith; Karla L Miller; Steen Moeller; Junqian Xu; Edward J Auerbach; Mark W Woolrich; Christian F Beckmann; Mark Jenkinson; Jesper Andersson; Matthew F Glasser; David C Van Essen; David A Feinberg; Essa S Yacoub; Kamil Ugurbil
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-07       Impact factor: 11.205

Review 2.  Emerging concepts for the dynamical organization of resting-state activity in the brain.

Authors:  Gustavo Deco; Viktor K Jirsa; Anthony R McIntosh
Journal:  Nat Rev Neurosci       Date:  2011-01       Impact factor: 34.870

3.  Can cognitive processes be inferred from neuroimaging data?

Authors:  Russell A Poldrack
Journal:  Trends Cogn Sci       Date:  2006-01-06       Impact factor: 20.229

4.  Wandering minds: the default network and stimulus-independent thought.

Authors:  Malia F Mason; Michael I Norton; John D Van Horn; Daniel M Wegner; Scott T Grafton; C Neil Macrae
Journal:  Science       Date:  2007-01-19       Impact factor: 47.728

Review 5.  The restless mind.

Authors:  Jonathan Smallwood; Jonathan W Schooler
Journal:  Psychol Bull       Date:  2006-11       Impact factor: 17.737

6.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.

Authors:  R W Cox
Journal:  Comput Biomed Res       Date:  1996-06

7.  Instantaneous brain dynamics mapped to a continuous state space.

Authors:  Jacob C W Billings; Alessio Medda; Sadia Shakil; Xiaohong Shen; Amrit Kashyap; Shiyang Chen; Anzar Abbas; Xiaodi Zhang; Maysam Nezafati; Wen-Ju Pan; Gordon J Berman; Shella D Keilholz
Journal:  Neuroimage       Date:  2017-08-18       Impact factor: 6.556

8.  Function in the human connectome: task-fMRI and individual differences in behavior.

Authors:  Deanna M Barch; Gregory C Burgess; Michael P Harms; Steven E Petersen; Bradley L Schlaggar; Maurizio Corbetta; Matthew F Glasser; Sandra Curtiss; Sachin Dixit; Cindy Feldt; Dan Nolan; Edward Bryant; Tucker Hartley; Owen Footer; James M Bjork; Russ Poldrack; Steve Smith; Heidi Johansen-Berg; Abraham Z Snyder; David C Van Essen
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

9.  The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?

Authors:  Kevin Murphy; Rasmus M Birn; Daniel A Handwerker; Tyler B Jones; Peter A Bandettini
Journal:  Neuroimage       Date:  2008-10-11       Impact factor: 6.556

10.  Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems.

Authors:  Martin Rosvall; Carl T Bergstrom
Journal:  PLoS One       Date:  2011-04-08       Impact factor: 3.240

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  3 in total

Review 1.  Is it time to put rest to rest?

Authors:  Emily S Finn
Journal:  Trends Cogn Sci       Date:  2021-10-05       Impact factor: 20.229

2.  Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks.

Authors:  Meiling Li; Louisa Dahmani; Danhong Wang; Jianxun Ren; Sophia Stocklein; Yuanxiang Lin; Guoming Luan; Zhiqiang Zhang; Guangming Lu; Fanziska Galiè; Ying Han; Alvaro Pascual-Leone; Meiyun Wang; Michael D Fox; Hesheng Liu
Journal:  Neuroimage       Date:  2020-12-29       Impact factor: 6.556

3.  Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain's control energy landscape.

Authors:  S Parker Singleton; Andrea I Luppi; Robin L Carhart-Harris; Josephine Cruzat; Leor Roseman; David J Nutt; Gustavo Deco; Morten L Kringelbach; Emmanuel A Stamatakis; Amy Kuceyeski
Journal:  Nat Commun       Date:  2022-10-03       Impact factor: 17.694

  3 in total

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