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      Different brain networks mediate the effects of social and conditioned expectations on pain

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          Abstract

          Information about others’ experiences can strongly influence our own feelings and decisions. But how does such social information affect the neural generation of affective experience, and are the brain mechanisms involved distinct from those that mediate other types of expectation effects? Here, we used fMRI to dissociate the brain mediators of social influence and associative learning effects on pain. Participants viewed symbolic depictions of other participants’ pain ratings (social information) and classically conditioned pain-predictive cues before experiencing painful heat. Social information and conditioned stimuli each had significant effects on pain ratings, and both effects were mediated by self-reported expectations. Yet, these effects were mediated by largely separable brain activity patterns, involving different large-scale functional networks. These results show that learned versus socially instructed expectations modulate pain via partially different mechanisms—a distinction that should be accounted for by theories of predictive coding and related top-down influences.

          Abstract

          Our experience of pain can be affected by our expectations about how much pain we will feel. Here, the authors show that both social information-driven expectations, and those based on personal experience, are both able to modulate pain, but by different neural pathways.

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          The organization of the human cerebral cortex estimated by intrinsic functional connectivity.

          Information processing in the cerebral cortex involves interactions among distributed areas. Anatomical connectivity suggests that certain areas form local hierarchical relations such as within the visual system. Other connectivity patterns, particularly among association areas, suggest the presence of large-scale circuits without clear hierarchical relations. In this study the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI. Data from 1,000 subjects were registered using surface-based alignment. A clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex. The results revealed local networks confined to sensory and motor cortices as well as distributed networks of association regions. Within the sensory and motor cortices, functional connectivity followed topographic representations across adjacent areas. In association cortex, the connectivity patterns often showed abrupt transitions between network boundaries. Focused analyses were performed to better understand properties of network connectivity. A canonical sensory-motor pathway involving primary visual area, putative middle temporal area complex (MT+), lateral intraparietal area, and frontal eye field was analyzed to explore how interactions might arise within and between networks. Results showed that adjacent regions of the MT+ complex demonstrate differential connectivity consistent with a hierarchical pathway that spans networks. The functional connectivity of parietal and prefrontal association cortices was next explored. Distinct connectivity profiles of neighboring regions suggest they participate in distributed networks that, while showing evidence for interactions, are embedded within largely parallel, interdigitated circuits. We conclude by discussing the organization of these large-scale cerebral networks in relation to monkey anatomy and their potential evolutionary expansion in humans to support cognition.
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            Control of goal-directed and stimulus-driven attention in the brain.

            We review evidence for partially segregated networks of brain areas that carry out different attentional functions. One system, which includes parts of the intraparietal cortex and superior frontal cortex, is involved in preparing and applying goal-directed (top-down) selection for stimuli and responses. This system is also modulated by the detection of stimuli. The other system, which includes the temporoparietal cortex and inferior frontal cortex, and is largely lateralized to the right hemisphere, is not involved in top-down selection. Instead, this system is specialized for the detection of behaviourally relevant stimuli, particularly when they are salient or unexpected. This ventral frontoparietal network works as a 'circuit breaker' for the dorsal system, directing attention to salient events. Both attentional systems interact during normal vision, and both are disrupted in unilateral spatial neglect.
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              An integrative theory of prefrontal cortex function.

              The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them. They provide bias signals to other brain structures whose net effect is to guide the flow of activity along neural pathways that establish the proper mappings between inputs, internal states, and outputs needed to perform a given task. We review neurophysiological, neurobiological, neuroimaging, and computational studies that support this theory and discuss its implications as well as further issues to be addressed
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                Author and article information

                Contributors
                leonie.koban@colorado.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 September 2019
                10 September 2019
                2019
                : 10
                : 4096
                Affiliations
                [1 ]ISNI 0000000096214564, GRID grid.266190.a, Institute of Cognitive Science, , University of Colorado Boulder, ; Muenzinger D244, 345 UCB, Boulder, CO 80302 USA
                [2 ]ISNI 0000000096214564, GRID grid.266190.a, Department of Psychology and Neuroscience, , University of Colorado Boulder, ; Muenzinger D244, 345 UCB, Boulder, CO 80302 USA
                [3 ]Brain and Spine Institute (ICM), Control-Interoception-Attention Team, 47 Boulevard de l’Hôpital, 75013 Paris, France
                [4 ]ISNI 0000 0004 1791 3287, GRID grid.424837.e, Marketing Area, INSEAD, Boulevard de Constance, ; 77300 Fontainebleau, France
                [5 ]ISNI 0000000084992262, GRID grid.7177.6, Department of Psychology, , University of Amsterdam, ; Nieuwe Achtergracht 129B, 1018 WS Amsterdam, The Netherlands
                [6 ]Division of Behavioral Medicine and Clinical Psychology, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, 3333 Burnet Avenue, MLC2 7031 Pain Research Center, Cincinnati, OH 45229 USA
                [7 ]ISNI 0000 0001 2179 2404, GRID grid.254880.3, Department of Psychological and Brain Sciences, , Dartmouth College, ; HB 6207, Moore Hall, Hanover, NH 03755 USA
                Author information
                http://orcid.org/0000-0002-3121-6491
                http://orcid.org/0000-0002-1936-5574
                Article
                11934
                10.1038/s41467-019-11934-y
                6736972
                31506426
                0ab53fb3-ecd8-4faf-bbe3-edf1becffe4d
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 December 2018
                : 6 August 2019
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                cognitive neuroscience,emotion,psychology,pain
                Uncategorized
                cognitive neuroscience, emotion, psychology, pain

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