Literature DB >> 23123632

Has brain imaging discovered anything new about how the brain works?

R E Passingham1, J B Rowe2, K Sakai3.   

Abstract

There have now been roughly 130,000 papers on fMRI. While these have clearly contributed to our understanding of the functional anatomy of the human brain, it is less clear that they have changed the way in which we think about the brain. The issue, in other words, is whether they have established new principles about how the brain works. In this paper we offer as an example one new principle, partly to lay down the criteria that are required for establishing a new principle, and partly to encourage others to offer other principles. Our example concerns the flexible flow of information through the cortex that must occur according to the demands of the task or current context. We suggest that this flexibility is achieved by feedback connections from the prefrontal and parietal cortex, and that these include connections to sensory and motor areas. However, the nature of the selective effect differs. The parietal cortex can select both within and across processing streams. By across streams we mean that it can have the same influence on different streams, for example the dorsal and ventral visual systems. However, only the prefrontal cortex can also select between processing streams. The difference between the prefrontal and parietal effects is due to their different positions within the processing hierarchy.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23123632     DOI: 10.1016/j.neuroimage.2012.10.079

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  10 in total

1.  Brain network dysfunction in youth with obsessive-compulsive disorder induced by simple uni-manual behavior: The role of the dorsal anterior cingulate cortex.

Authors:  Amy L Friedman; Ashley Burgess; Karthik Ramaseshan; Phil Easter; Dalal Khatib; Asadur Chowdury; Paul D Arnold; Gregory L Hanna; David R Rosenberg; Vaibhav A Diwadkar
Journal:  Psychiatry Res Neuroimaging       Date:  2016-12-13       Impact factor: 2.376

Review 2.  Cognitive network neuroscience.

Authors:  John D Medaglia; Mary-Ellen Lynall; Danielle S Bassett
Journal:  J Cogn Neurosci       Date:  2015-03-24       Impact factor: 3.225

3.  The prefrontal cortex achieves inhibitory control by facilitating subcortical motor pathway connectivity.

Authors:  Charlotte L Rae; Laura E Hughes; Michael C Anderson; James B Rowe
Journal:  J Neurosci       Date:  2015-01-14       Impact factor: 6.167

4.  Task-related functional connectivity dynamics in a block-designed visual experiment.

Authors:  Xin Di; Zening Fu; Shing Chow Chan; Yeung Sam Hung; Bharat B Biswal; Zhiguo Zhang
Journal:  Front Hum Neurosci       Date:  2015-09-30       Impact factor: 3.169

5.  Preserved cognitive functions with age are determined by domain-dependent shifts in network responsivity.

Authors:  Dávid Samu; Karen L Campbell; Kamen A Tsvetanov; Meredith A Shafto; Lorraine K Tyler
Journal:  Nat Commun       Date:  2017-05-08       Impact factor: 14.919

6.  Explaining the neural activity distribution associated with discrete movement sequences: Evidence for parallel functional systems.

Authors:  Willem B Verwey; Anne-Lise Jouen; Peter F Dominey; Jocelyne Ventre-Dominey
Journal:  Cogn Affect Behav Neurosci       Date:  2019-02       Impact factor: 3.282

7.  Resting-state connectivity alterations during transient global amnesia.

Authors:  Francesca Zidda; Martin Griebe; Anne Ebert; Michaela Ruttorf; Christina Roßmanith; Achim Gass; Jamila Andoh; Frauke Nees; Kristina Szabo
Journal:  Neuroimage Clin       Date:  2019-05-23       Impact factor: 4.881

8.  Dynamic Causal Modeling of Preclinical Autosomal-Dominant Alzheimer's Disease.

Authors:  Will Penny; Jorge Iglesias-Fuster; Yakeel T Quiroz; Francisco Javier Lopera; Maria A Bobes
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

9.  From mathematics to medicine: A practical primer on topological data analysis (TDA) and the development of related analytic tools for the functional discovery of latent structure in fMRI data.

Authors:  Andrew Salch; Adam Regalski; Hassan Abdallah; Raviteja Suryadevara; Michael J Catanzaro; Vaibhav A Diwadkar
Journal:  PLoS One       Date:  2021-08-12       Impact factor: 3.752

Review 10.  Inferring the Dysconnection Syndrome in Schizophrenia: Interpretational Considerations on Methods for the Network Analyses of fMRI Data.

Authors:  Brian H Silverstein; Steven L Bressler; Vaibhav A Diwadkar
Journal:  Front Psychiatry       Date:  2016-08-03       Impact factor: 5.435

  10 in total

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