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      Motor hyperactivation during cognitive tasks: An endophenotype of juvenile myoclonic epilepsy

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          Abstract

          Objective

          Juvenile myoclonic epilepsy (JME) is the most common genetic generalized epilepsy syndrome. Myoclonus may relate to motor system hyperexcitability and can be provoked by cognitive activities. To aid genetic mapping in complex neuropsychiatric disorders, recent research has utilized imaging intermediate phenotypes (endophenotypes). Here, we aimed to (a) characterize activation profiles of the motor system during different cognitive tasks in patients with JME and their unaffected siblings, and (b) validate those as endophenotypes of JME.

          Methods

          This prospective cross‐sectional investigation included 32 patients with JME, 12 unaffected siblings, and 26 controls, comparable for age, sex, handedness, language laterality, neuropsychological performance, and anxiety and depression scores. We investigated patterns of motor system activation during episodic memory encoding and verb generation functional magnetic resonance imaging (fMRI) tasks.

          Results

          During both tasks, patients and unaffected siblings showed increased activation of motor system areas compared to controls. Effects were more prominent during memory encoding, which entailed hand motion via joystick responses. Subgroup analyses identified stronger activation of the motor cortex in JME patients with ongoing seizures compared to seizure‐free patients. Receiver‐operating characteristic curves, based on measures of motor activation, accurately discriminated both patients with JME and their siblings from healthy controls (area under the curve: 0.75 and 0.77, for JME and a combined patient‐sibling group against controls, respectively; P < .005).

          Significance

          Motor system hyperactivation represents a cognitive, domain‐independent endophenotype of JME. We propose measures of motor system activation as quantitative traits for future genetic imaging studies in this syndrome.

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          Most cited references51

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          The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

          The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states.
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            The endophenotype concept in psychiatry: etymology and strategic intentions.

            Endophenotypes, measurable components unseen by the unaided eye along the pathway between disease and distal genotype, have emerged as an important concept in the study of complex neuropsychiatric diseases. An endophenotype may be neurophysiological, biochemical, endocrinological, neuroanatomical, cognitive, or neuropsychological (including configured self-report data) in nature. Endophenotypes represent simpler clues to genetic underpinnings than the disease syndrome itself, promoting the view that psychiatric diagnoses can be decomposed or deconstructed, which can result in more straightforward-and successful-genetic analysis. However, to be most useful, endophenotypes for psychiatric disorders must meet certain criteria, including association with a candidate gene or gene region, heritability that is inferred from relative risk for the disorder in relatives, and disease association parameters. In addition to furthering genetic analysis, endophenotypes can clarify classification and diagnosis and foster the development of animal models. The authors discuss the etymology and strategy behind the use of endophenotypes in neuropsychiatric research and, more generally, in research on other diseases with complex genetics.
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              Diffusion tensor imaging: Concepts and applications

              The success of diffusion magnetic resonance imaging (MRI) is deeply rooted in the powerful concept that during their random, diffusion-driven displacements molecules probe tissue structure at a microscopic scale well beyond the usual image resolution. As diffusion is truly a three-dimensional process, molecular mobility in tissues may be anisotropic, as in brain white matter. With diffusion tensor imaging (DTI), diffusion anisotropy effects can be fully extracted, characterized, and exploited, providing even more exquisite details on tissue microstructure. The most advanced application is certainly that of fiber tracking in the brain, which, in combination with functional MRI, might open a window on the important issue of connectivity. DTI has also been used to demonstrate subtle abnormalities in a variety of diseases (including stroke, multiple sclerosis, dyslexia, and schizophrenia) and is currently becoming part of many routine clinical protocols. The aim of this article is to review the concepts behind DTI and to present potential applications.
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                Author and article information

                Contributors
                m.koepp@ucl.ac.uk
                Journal
                Epilepsia
                Epilepsia
                10.1111/(ISSN)1528-1167
                EPI
                Epilepsia
                John Wiley and Sons Inc. (Hoboken )
                0013-9580
                1528-1167
                25 June 2020
                July 2020
                : 61
                : 7 ( doiID: 10.1111/epi.v61.7 )
                : 1438-1452
                Affiliations
                [ 1 ] Department of Clinical and Experimental Epilepsy UCL Queen Square Institute of Neurology London UK
                [ 2 ] MRI Unit Epilepsy Society Chalfont St Peter Buckinghamshire UK
                [ 3 ] Epilepsy Unit Hospital Clínic de Barcelona Barcelona Spain
                [ 4 ] Department of Neurology Ludwig‐Maximilians‐Universität Munich Germany
                [ 5 ] Centre for Medical Image Computing University College London London UK
                [ 6 ] Neuroradiological Academic Unit UCL Queen Square Institute of Neurology London UK
                [ 7 ] Department of Neurology Medical University of Vienna Vienna Austria
                [ 8 ] Department of Neurology Xiangya Hospital of Central South University Changsha China
                [ 9 ] Department of Neurology West China Hospital of Sichuan University Chengdu China
                [ 10 ] Department of Neurology Queen's University Kingston ON Canada
                Author notes
                [*] [* ] Correspondence

                Matthias J. Koepp, Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, Box 29, London, WC1N 3BG, UK.

                Email: m.koepp@ 123456ucl.ac.uk

                Author information
                https://orcid.org/0000-0001-7189-9699
                https://orcid.org/0000-0001-7181-2637
                https://orcid.org/0000-0003-4801-4535
                https://orcid.org/0000-0002-4630-7484
                https://orcid.org/0000-0002-8502-4487
                https://orcid.org/0000-0002-9203-5344
                https://orcid.org/0000-0001-5078-8770
                https://orcid.org/0000-0003-1308-6539
                https://orcid.org/0000-0003-3267-9348
                https://orcid.org/0000-0001-9395-1478
                https://orcid.org/0000-0002-1373-0681
                https://orcid.org/0000-0002-4277-8000
                Article
                EPI16575
                10.1111/epi.16575
                7681252
                32584424
                8c24abc4-61b3-499b-af9f-8f4967548bea
                © 2020 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 January 2020
                : 17 May 2020
                : 17 May 2020
                Page count
                Figures: 5, Tables: 1, Pages: 15, Words: 8711
                Funding
                Funded by: European Academy of Neurology , open-funder-registry 10.13039/501100011963;
                Funded by: Henry Smith Charity , open-funder-registry 10.13039/501100000852;
                Award ID: 20133416
                Funded by: National Institute for Health Research University College London Hospitals Biomedical Research Centre
                Funded by: Austrian Neurological Society
                Funded by: Epilepsy Society
                Funded by: Medical Research Council , open-funder-registry 10.13039/501100000265;
                Award ID: MR/M00841X/1
                Funded by: Brain Research UK , open-funder-registry 10.13039/100013790;
                Funded by: China Scholarship Council , open-funder-registry 10.13039/501100004543;
                Award ID: 201606240215
                Funded by: Deutsche Forschungsgemeinschaft , open-funder-registry 10.13039/501100001659;
                Award ID: WA 3135/1‐1
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 8142010804
                Funded by: Wellcome Trust , open-funder-registry 10.13039/100004440;
                Award ID: 079474
                Categories
                Full‐length Original Research
                Full Length Original Research Paper
                Custom metadata
                2.0
                July 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.4 mode:remove_FC converted:23.11.2020

                Neurology
                cognition,endophenotype,fmri,juvenile myoclonic epilepsy,motor system
                Neurology
                cognition, endophenotype, fmri, juvenile myoclonic epilepsy, motor system

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