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      Recursive music elucidates neural mechanisms supporting the generation and detection of melodic hierarchies

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          Abstract

          The ability to generate complex hierarchical structures is a crucial component of human cognition which can be expressed in the musical domain in the form of hierarchical melodic relations. The neural underpinnings of this ability have been investigated by comparing the perception of well-formed melodies with unexpected sequences of tones. However, these contrasts do not target specifically the representation of rules generating hierarchical structure. Here, we present a novel paradigm in which identical melodic sequences are generated in four steps, according to three different rules: The Recursive rule, generating new hierarchical levels at each step; The Iterative rule, adding tones within a fixed hierarchical level without generating new levels; and a control rule that simply repeats the third step. Using fMRI, we compared brain activity across these rules when participants are imagining the fourth step after listening to the third (generation phase), and when participants listened to a fourth step (test sound phase), either well-formed or a violation. We found that, in comparison with Repetition and Iteration, imagining the fourth step using the Recursive rule activated the superior temporal gyrus (STG). During the test sound phase, we found fronto-temporo-parietal activity and hippocampal de-activation when processing violations, but no differences between rules. STG activation during the generation phase suggests that generating new hierarchical levels from previous steps might rely on retrieving appropriate melodic hierarchy schemas. Previous findings highlighting the role of hippocampus and inferior frontal gyrus may reflect processing of unexpected melodic sequences, rather than hierarchy generation per se.

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          The online version of this article (10.1007/s00429-020-02105-7) contains supplementary material, which is available to authorized users.

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          Memory, navigation and theta rhythm in the hippocampal-entorhinal system.

          Theories on the functions of the hippocampal system are based largely on two fundamental discoveries: the amnestic consequences of removing the hippocampus and associated structures in the famous patient H.M. and the observation that spiking activity of hippocampal neurons is associated with the spatial position of the rat. In the footsteps of these discoveries, many attempts were made to reconcile these seemingly disparate functions. Here we propose that mechanisms of memory and planning have evolved from mechanisms of navigation in the physical world and hypothesize that the neuronal algorithms underlying navigation in real and mental space are fundamentally the same. We review experimental data in support of this hypothesis and discuss how specific firing patterns and oscillatory dynamics in the entorhinal cortex and hippocampus can support both navigation and memory.
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            The Raven's progressive matrices: change and stability over culture and time.

            J Raven (2000)
            Data relating to the stability and variation in the norms for the Raven's Progressive Matrices Test (a well-validated measure of basic cognitive functioning) for different cultural, ethnic, and socioeconomic groups on a worldwide and within-country basis are first summarized. Subsequent sections deal with variation over time. A possible explanation for the variation in norms over time and between ethnic groups within countries is offered. Copyright 2000 Academic Press.
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              Broca's region revisited: cytoarchitecture and intersubject variability.

              The sizes of Brodmann's areas 44 and 45 (Broca's speech region) and their extent in relation to macroscopic landmarks and surrounding areas differ considerably among the available cytoarchitectonic maps. Such variability may be due to intersubject differences in anatomy, observer-dependent discrepancies in cytoarchitectonic mapping, or both. Because a reliable definition of cytoarchitectonic borders is important for interpreting functional imaging data, we mapped areas 44 and 45 by means of an observer-independent technique. In 10 human brains, the laminar distributions of cell densities were measured vertical to the cortical surface in serial coronal sections stained for perikarya. Thousands of density profiles were obtained. Cytoarchitectonic borders were defined as statistically significant changes in laminar patterns. The analysis of the three-dimensional reconstructed brains and the two areas showed that cytoarchitectonic borders did not consistently coincide with sulcal contours. Therefore, macroscopic features are not reliable landmarks of cytoarchitectonic borders. Intersubject variability in the cytoarchitecture of areas 44 and 45 was significantly greater than cytoarchitectonic differences between these areas in individual brains. Although the volumes of area 44 differed across subjects by up to a factor of 10, area 44 but not area 45 was left-over-right asymmetrical in all brains. All five male but only three of five female brains had significantly higher cell densities on the left than on the right side. Such hemispheric and gender differences were not detected in area 45. These morphologic asymmetries of area 44 provide a putative correlate of the functional lateralization of speech production. Copyright 1999 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                mmartins@cbs.mpg.de
                Journal
                Brain Struct Funct
                Brain Struct Funct
                Brain Structure & Function
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1863-2653
                1863-2661
                26 June 2020
                26 June 2020
                2020
                : 225
                : 7
                : 1997-2015
                Affiliations
                [1 ]GRID grid.7468.d, ISNI 0000 0001 2248 7639, Berlin School of Mind and Brain, , Humboldt Universität zu Berlin, ; Berlin, Germany
                [2 ]GRID grid.419524.f, ISNI 0000 0001 0041 5028, Max Planck Institute for Human Cognitive and Brain Sciences, ; Leipzig, Germany
                [3 ]GRID grid.411339.d, ISNI 0000 0000 8517 9062, Clinic for Cognitive Neurology, , University Hospital Leipzig, ; Leipzig, Germany
                [4 ]GRID grid.4444.0, ISNI 0000 0001 2112 9282, Institut Jean Nicod, Département d’Etudes Cognitives, , ENS, EHESS, CNRS, PSL Research University, ; Paris, France
                [5 ]GRID grid.5110.5, ISNI 0000000121539003, Institute of Psychology, , University of Graz, ; Graz, Austria
                [6 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Department of Biomedical Imaging and Image-Guided Therapy, , Medical University of Vienna, ; Vienna, Austria
                [7 ]GRID grid.5771.4, ISNI 0000 0001 2151 8122, Institute of Psychology, , University of Innsbruck, ; Innsbruck, Austria
                [8 ]GRID grid.83440.3b, ISNI 0000000121901201, UCL Ear Institute, , University College London, ; London, UK
                [9 ]GRID grid.10420.37, ISNI 0000 0001 2286 1424, Department of Behavioral and Cognitive Biology, , University of Vienna, ; Vienna, Austria
                [10 ]GRID grid.22937.3d, ISNI 0000 0000 9259 8492, Department of Neurology, High-Field MR Center of Excellence, , Medical University of Vienna, ; Vienna, Austria
                Author information
                http://orcid.org/0000-0003-0247-8473
                Article
                2105
                10.1007/s00429-020-02105-7
                7473971
                32591927
                c4afe62a-a0ef-4884-88fb-358092aadf1a
                © The Author(s) 2020

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 September 2019
                : 16 June 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: SFRH/BD/64206/2009
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 230604
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2020

                Neurology
                ifg,hippocampus,recursion,hierarchy,stg,music
                Neurology
                ifg, hippocampus, recursion, hierarchy, stg, music

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