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      Inhibiting metabotropic glutamate receptor 5 after stroke restores brain function and connectivity

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          Abstract

          Stroke results in local neural disconnection and brain-wide neuronal network dysfunction leading to neurological deficits. Beyond the hyper-acute phase of ischaemic stroke, there is no clinically-approved pharmacological treatment that alleviates sensorimotor impairments. Functional recovery after stroke involves the formation of new or alternative neuronal circuits including existing neural connections. The type-5 metabotropic glutamate receptor (mGluR5) has been shown to modulate brain plasticity and function and is a therapeutic target in neurological diseases outside of stroke. We investigated whether mGluR5 influences functional recovery and network reorganization rodent models of focal ischaemia.

          Using multiple behavioural tests, we observed that treatment with negative allosteric modulators (NAMs) of mGluR5 (MTEP, fenobam and AFQ056) for 12 days, starting 2 or 10 days after stroke, restored lost sensorimotor functions, without diminishing infarct size. Recovery was evident within hours after initiation of treatment and progressed over the subsequent 12 days. Recovery was prevented by activation of mGluR5 with the positive allosteric modulator VU0360172 and accelerated in mGluR5 knock-out mice compared with wild-type mice. After stroke, multisensory stimulation by enriched environments enhanced recovery, a result prevented by VU0360172, implying a role of mGluR5 in enriched environment-mediated recovery. Additionally, MTEP treatment in conjunction with enriched environment housing provided an additive recovery enhancement compared to either MTEP or enriched environment alone. Using optical intrinsic signal imaging, we observed brain-wide disruptions in resting-state functional connectivity after stroke that were prevented by mGluR5 inhibition in distinct areas of contralesional sensorimotor and bilateral visual cortices. The levels of mGluR5 protein in mice and in tissue samples of stroke patients were unchanged after stroke.

          We conclude that neuronal circuitry subserving sensorimotor function after stroke is depressed by a mGluR5-dependent maladaptive plasticity mechanism that can be restored by mGluR5 inhibition. Post-acute stroke treatment with mGluR5 NAMs combined with rehabilitative training may represent a novel post-acute stroke therapy.

          Abstract

          Hakon et al. show that negative allosteric modulators of metabotropic glutamate receptor 5 (mGluR5 NAMs) restore lost sensorimotor function and functional connectivity in rodent models of focal ischaemia. Combined with rehabilitative training, mGluR5 NAMs may represent a novel post-acute stroke therapy.

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          Complex network measures of brain connectivity: uses and interpretations.

          Brain connectivity datasets comprise networks of brain regions connected by anatomical tracts or by functional associations. Complex network analysis-a new multidisciplinary approach to the study of complex systems-aims to characterize these brain networks with a small number of neurobiologically meaningful and easily computable measures. In this article, we discuss construction of brain networks from connectivity data and describe the most commonly used network measures of structural and functional connectivity. We describe measures that variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, characterize patterns of local anatomical circuitry, and test resilience of networks to insult. We discuss the issues surrounding comparison of structural and functional network connectivity, as well as comparison of networks across subjects. Finally, we describe a Matlab toolbox (http://www.brain-connectivity-toolbox.net) accompanying this article and containing a collection of complex network measures and large-scale neuroanatomical connectivity datasets. Copyright (c) 2009 Elsevier Inc. All rights reserved.
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            Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

            Summary Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12·2 million (95% UI 11·0–13·6) incident cases of stroke, 101 million (93·2–111) prevalent cases of stroke, 143 million (133–153) DALYs due to stroke, and 6·55 million (6·00–7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8–12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1–6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0–73·0), prevalent strokes increased by 85·0% (83·0–88·0), deaths from stroke increased by 43·0% (31·0–55·0), and DALYs due to stroke increased by 32·0% (22·0–42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0–18·0), mortality decreased by 36·0% (31·0–42·0), prevalence decreased by 6·0% (5·0–7·0), and DALYs decreased by 36·0% (31·0–42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0–24·0) and incidence rates increased by 15·0% (12·0–18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5–3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5–3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57–8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97–3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01–1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7–90·8] DALYs or 55·5% [48·2–62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3–48·6] DALYs or 24·3% [15·7–33·2]), high fasting plasma glucose (28·9 million [19·8–41·5] DALYs or 20·2% [13·8–29·1]), ambient particulate matter pollution (28·7 million [23·4–33·4] DALYs or 20·1% [16·6–23·0]), and smoking (25·3 million [22·6–28·2] DALYs or 17·6% [16·4–19·0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. Funding Bill & Melinda Gates Foundation.
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              The human brain is intrinsically organized into dynamic, anticorrelated functional networks.

              During performance of attention-demanding cognitive tasks, certain regions of the brain routinely increase activity, whereas others routinely decrease activity. In this study, we investigate the extent to which this task-related dichotomy is represented intrinsically in the resting human brain through examination of spontaneous fluctuations in the functional MRI blood oxygen level-dependent signal. We identify two diametrically opposed, widely distributed brain networks on the basis of both spontaneous correlations within each network and anticorrelations between networks. One network consists of regions routinely exhibiting task-related activations and the other of regions routinely exhibiting task-related deactivations. This intrinsic organization, featuring the presence of anticorrelated networks in the absence of overt task performance, provides a critical context in which to understand brain function. We suggest that both task-driven neuronal responses and behavior are reflections of this dynamic, ongoing, functional organization of the brain.
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                Author and article information

                Contributors
                Journal
                Brain
                Brain
                brainj
                Brain
                Oxford University Press (US )
                0006-8950
                1460-2156
                January 2024
                01 September 2023
                01 September 2023
                : 147
                : 1
                : 186-200
                Affiliations
                Division of Neurosurgery, Department of Clinical Sciences, Laboratory for Experimental Brain Research, Lund University , Lund 221 84, Sweden
                Division of Neurosurgery, Department of Clinical Sciences, Laboratory for Experimental Brain Research, Lund University , Lund 221 84, Sweden
                Division of Neurosurgery, Department of Clinical Sciences, Laboratory for Experimental Brain Research, Lund University , Lund 221 84, Sweden
                Division of Neurosurgery, Department of Clinical Sciences, Laboratory for Experimental Brain Research, Lund University , Lund 221 84, Sweden
                Department of Radiology, Washington University , Saint Louis, MO 63110, USA
                Department of Molecular Pathology, IRCCS Neuromed , 86077 Pozzilli, Italy
                Department of Molecular Pathology, IRCCS Neuromed , 86077 Pozzilli, Italy
                Department of Molecular Pathology, IRCCS Neuromed , 86077 Pozzilli, Italy
                Department of Experimental Medical Sciences, Chemical Biology & Therapeutics, Lund University , Lund 221 84, Sweden
                Division of Pathology, Department of Clinical Sciences, Lund University , Lund 221 84, Sweden
                Department of Molecular Pathology, IRCCS Neuromed , 86077 Pozzilli, Italy
                Department of Physiology and Pharmacology, University of Rome La Sapienza , 00185 Rome, Italy
                Division of Neurosurgery, Department of Clinical Sciences, Laboratory for Experimental Brain Research, Lund University , Lund 221 84, Sweden
                Department of Radiology, Washington University , Saint Louis, MO 63110, USA
                Division of Neurosurgery, Department of Clinical Sciences, Laboratory for Experimental Brain Research, Lund University , Lund 221 84, Sweden
                Author notes
                Correspondence to: Tadeusz Wieloch Division of Neurosurgery, Department of Clinical Sciences, Laboratory for Experimental Brain Research BMCA13, Sölvegatan 17, 22184 Lund, Sweden E-mail: tadeusz.wieloch@ 123456med.lu.se

                Present address: Neurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA

                Adam Q Bauer and Tadeusz Wieloch contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-7669-2520
                Article
                awad293
                10.1093/brain/awad293
                10766240
                37656990
                45fc60f2-57e2-49b8-9220-159c3005e26e
                © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 July 2022
                : 12 June 2023
                : 04 August 2023
                : 30 November 2023
                Page count
                Pages: 15
                Funding
                Funded by: Swedish Research Council, DOI 10.13039/501100004359;
                Award ID: 2017-0140-6
                Award ID: 2018-05787
                Funded by: Crafoord Foundation, DOI 10.13039/501100003173;
                Award ID: R01NS102870
                Award ID: R01NS126326
                Award ID: RF1AG079503
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/SCI01870

                Neurosciences
                resting-state functional connectivity,stroke recovery,plasticity,pharmacological therapy,long term depression

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