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      Learning to tie the knot: The acquisition of functional object representations by physical and observational experience

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          Abstract

          Here we examined neural substrates for physically and observationally learning to construct novel objects, and characterized brain regions associated with each kind of learning using fMRI. Each participant was assigned a training partner, and for five consecutive days practiced tying one group of knots (“tied” condition) or watched their partner tie different knots (“watched” condition) while a third set of knots remained untrained. Functional MRI was obtained prior to and immediately following the week of training while participants performed a visual knot-matching task. After training, a portion of left superior parietal lobule demonstrated a training by scan session interaction. This means this parietal region responded selectively to knots that participants had physically learned to tie in the post-training scan session but not the pre-training scan session. A conjunction analysis on the post-training scan data showed right intraparietal sulcus and right dorsal premotor cortex to respond when viewing images of knots from the tied and watched conditions compared to knots that were untrained during the post-training scan session. This suggests that these brain areas track both physical and observational learning. Together, the data provide preliminary evidence of engagement of brain regions associated with hand-object interactions when viewing objects associated with physical experience, and with observational experience without concurrent physical practice.

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          Mirror neurons and the simulation theory of mind-reading.

          V Gallese (1998)
          A new class of visuomotor neuron has been recently discovered in the monkey's premotor cortex: mirror neurons. These neurons respond both when a particular action is performed by the recorded monkey and when the same action, performed by another individual, is observed. Mirror neurons appear to form a cortical system matching observation and execution of goal-related motor actions. Experimental evidence suggests that a similar matching system also exists in humans. What might be the functional role of this matching system? One possible function is to enable an organism to detect certain mental states of observed conspecifics. This function might be part of, or a precursor to, a more general mind-reading ability. Two different accounts of mind-reading have been suggested. According to `theory theory', mental states are represented as inferred posits of a naive theory. According to `simulation theory', other people's mental states are represented by adopting their perspective: by tracking or matching their states with resonant states of one's own. The activity of mirror neurons, and the fact that observers undergo motor facilitation in the same muscular groups as those utilized by target agents, are findings that accord well with simulation theory but would not be predicted by theory theory.
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            The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations.

            The parieto-frontal cortical circuit that is active during action observation is the circuit with mirror properties that has been most extensively studied. Yet, there remains controversy on its role in social cognition and its contribution to understanding the actions and intentions of other individuals. Recent studies in monkeys and humans have shed light on what the parieto-frontal cortical circuit encodes and its possible functional relevance for cognition. We conclude that, although there are several mechanisms through which one can understand the behaviour of other individuals, the parieto-frontal mechanism is the only one that allows an individual to understand the action of others 'from the inside' and gives the observer a first-person grasp of the motor goals and intentions of other individuals.
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              Assignment of functional activations to probabilistic cytoarchitectonic areas revisited.

              Probabilistic cytoarchitectonic maps in standard reference space provide a powerful tool for the analysis of structure-function relationships in the human brain. While these microstructurally defined maps have already been successfully used in the analysis of somatosensory, motor or language functions, several conceptual issues in the analysis of structure-function relationships still demand further clarification. In this paper, we demonstrate the principle approaches for anatomical localisation of functional activations based on probabilistic cytoarchitectonic maps by exemplary analysis of an anterior parietal activation evoked by visual presentation of hand gestures. After consideration of the conceptual basis and implementation of volume or local maxima labelling, we comment on some potential interpretational difficulties, limitations and caveats that could be encountered. Extending and supplementing these methods, we then propose a supplementary approach for quantification of structure-function correspondences based on distribution analysis. This approach relates the cytoarchitectonic probabilities observed at a particular functionally defined location to the areal specific null distribution of probabilities across the whole brain (i.e., the full probability map). Importantly, this method avoids the need for a unique classification of voxels to a single cortical area and may increase the comparability between results obtained for different areas. Moreover, as distribution-based labelling quantifies the "central tendency" of an activation with respect to anatomical areas, it will, in combination with the established methods, allow an advanced characterisation of the anatomical substrates of functional activations. Finally, the advantages and disadvantages of the various methods are discussed, focussing on the question of which approach is most appropriate for a particular situation.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: ValidationRole: Writing – review & editing
                Role: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 October 2017
                2017
                : 12
                : 10
                : e0185044
                Affiliations
                [1 ] Wales Institute for Cognitive Neuroscience, School of Psychology, Bangor University, Bangor, Wales
                [2 ] Institute of Cognitive Neuroscience, University College London, London, England
                [3 ] Volen Center for Complex Systems, Brandeis University, Waltham, Massachusetts, United States of America
                [4 ] Department of Psychological & Brain Sciences, University of California, Santa Barbara, California, United States of America
                Universita degli Studi di Verona, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1671-5698
                Article
                PONE-D-17-02194
                10.1371/journal.pone.0185044
                5638238
                29023463
                1eab724c-be6d-46b3-8c96-1bcafd5324e1
                © 2017 Cross et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 January 2017
                : 4 September 2017
                Page count
                Figures: 6, Tables: 1, Pages: 24
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000065, National Institute of Neurological Disorders and Stroke;
                Award ID: F31-NS056720
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/K001892/1
                Award Recipient :
                Funded by: Marie Curie Career Integration Grant
                Award ID: PCIG-GA-2012-322256
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: ERC-2015-StG-677270
                Award Recipient :
                This work was supported by an NRSA predoctoral fellowship from the National Institute of Neurological Disorders and Stroke (F31-NS056720), an Economic and Social Research Council Future Research Leaders Award (ES/K001892/1), a Marie Curie Career Integration Grant (PCIG-GA-2012-322256), and a European Research Council starting grant (ERC-2015-StG-677270) to ESC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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                Restrictions imposed by the Dartmouth College Research Ethics Committee in relation to participant consent and approved research protocols prevent public deposition of the data. Data are available upon request from Prof. Emily S. Cross ( e.cross@ 123456bangor.ac.uk ).

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