Literature DB >> 26704857

Redefining the Role of Limbic Areas in Cortical Processing.

Lorena Chanes1, Lisa Feldman Barrett2.   

Abstract

There is increasing evidence that the brain actively constructs action and perception using past experience. In this paper, we propose that the direction of information flow along gradients of laminar differentiation provides important insight on the role of limbic cortices in cortical processing. Cortical limbic areas, with a simple laminar structure (e.g., no or rudimentary layer IV), send 'feedback' projections to lower level better laminated areas. We propose that this 'feedback' functions as predictions that drive processing throughout the cerebral cortex. This hypothesis has the potential to provide a unifying framework for an increasing number of proposals that use predictive coding to explain a myriad of neural processes and disorders, and has important implications for hypotheses about consciousness.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  active inference; consciousness; cortical processing; intrinsic networks; limbic cortices; predictive coding; structural model

Mesh:

Year:  2015        PMID: 26704857      PMCID: PMC4780414          DOI: 10.1016/j.tics.2015.11.005

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  108 in total

1.  Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey.

Authors:  K S Rockland; D N Pandya
Journal:  Brain Res       Date:  1979-12-21       Impact factor: 3.252

2.  Concept Representation Reflects Multimodal Abstraction: A Framework for Embodied Semantics.

Authors:  Leonardo Fernandino; Jeffrey R Binder; Rutvik H Desai; Suzanne L Pendl; Colin J Humphries; William L Gross; Lisa L Conant; Mark S Seidenberg
Journal:  Cereb Cortex       Date:  2015-03-05       Impact factor: 5.357

3.  Cortical structure predicts the pattern of corticocortical connections.

Authors:  H Barbas; N Rempel-Clower
Journal:  Cereb Cortex       Date:  1997 Oct-Nov       Impact factor: 5.357

Review 4.  Whatever next? Predictive brains, situated agents, and the future of cognitive science.

Authors:  Andy Clark
Journal:  Behav Brain Sci       Date:  2013-05-10       Impact factor: 12.579

5.  Organization of cortical afferent input to orbitofrontal areas in the rhesus monkey.

Authors:  H Barbas
Journal:  Neuroscience       Date:  1993-10       Impact factor: 3.590

6.  Parietal, temporal, and occipital projections to cortex of the superior temporal sulcus in the rhesus monkey: a retrograde tracer study.

Authors:  B Seltzer; D N Pandya
Journal:  J Comp Neurol       Date:  1994-05-15       Impact factor: 3.215

7.  Pathways for emotion: interactions of prefrontal and anterior temporal pathways in the amygdala of the rhesus monkey.

Authors:  H T Ghashghaei; H Barbas
Journal:  Neuroscience       Date:  2002       Impact factor: 3.590

8.  Projections from the amygdala to basoventral and mediodorsal prefrontal regions in the rhesus monkey.

Authors:  H Barbas; J De Olmos
Journal:  J Comp Neurol       Date:  1990-10-22       Impact factor: 3.215

9.  A predictive network model of cerebral cortical connectivity based on a distance rule.

Authors:  Mária Ercsey-Ravasz; Nikola T Markov; Camille Lamy; David C Van Essen; Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy
Journal:  Neuron       Date:  2013-10-02       Impact factor: 17.173

Review 10.  The free-energy self: a predictive coding account of self-recognition.

Authors:  Matthew A J Apps; Manos Tsakiris
Journal:  Neurosci Biobehav Rev       Date:  2013-02-15       Impact factor: 8.989

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  60 in total

1.  Emergence of a hierarchical brain during infancy reflected by stepwise functional connectivity.

Authors:  Suzanne L Pendl; Andrew P Salzwedel; Barbara D Goldman; Lisa F Barrett; Weili Lin; John H Gilmore; Wei Gao
Journal:  Hum Brain Mapp       Date:  2017-03-06       Impact factor: 5.038

2.  Words are a context for mental inference.

Authors:  Nicole Betz; Katie Hoemann; Lisa Feldman Barrett
Journal:  Emotion       Date:  2019-01-10

Review 3.  The Default Mode Network's Role in Discrete Emotion.

Authors:  Ajay B Satpute; Kristen A Lindquist
Journal:  Trends Cogn Sci       Date:  2019-08-16       Impact factor: 20.229

4.  An active inference theory of allostasis and interoception in depression.

Authors:  Lisa Feldman Barrett; Karen S Quigley; Paul Hamilton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-10       Impact factor: 6.237

Review 5.  Historical pitfalls and new directions in the neuroscience of emotion.

Authors:  Lisa Feldman Barrett; Ajay B Satpute
Journal:  Neurosci Lett       Date:  2017-07-26       Impact factor: 3.046

6.  Categories and Their Role in the Science of Emotion.

Authors:  Lisa Feldman Barrett
Journal:  Psychol Inq       Date:  2017-02-26

Review 7.  The Structural Model: a theory linking connections, plasticity, pathology, development and evolution of the cerebral cortex.

Authors:  Miguel Ángel García-Cabezas; Basilis Zikopoulos; Helen Barbas
Journal:  Brain Struct Funct       Date:  2019-02-09       Impact factor: 3.270

8.  Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences.

Authors:  Gal Raz; Alexandra Touroutoglou; Christine Wilson-Mendenhall; Gadi Gilam; Tamar Lin; Tal Gonen; Yael Jacob; Shir Atzil; Roee Admon; Maya Bleich-Cohen; Adi Maron-Katz; Talma Hendler; Lisa Feldman Barrett
Journal:  Cogn Affect Behav Neurosci       Date:  2016-08       Impact factor: 3.282

9.  The amygdala instructs insular feedback for affective learning.

Authors:  Dominic Kargl; Joanna Kaczanowska; Sophia Ulonska; Florian Groessl; Lukasz Piszczek; Jelena Lazovic; Katja Buehler; Wulf Haubensak
Journal:  Elife       Date:  2020-11-20       Impact factor: 8.140

Review 10.  Deconstructing arousal into wakeful, autonomic and affective varieties.

Authors:  Ajay B Satpute; Philip A Kragel; Lisa Feldman Barrett; Tor D Wager; Marta Bianciardi
Journal:  Neurosci Lett       Date:  2018-01-31       Impact factor: 3.046

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