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      Multisensory stimulation improves functional recovery and resting-state functional connectivity in the mouse brain after stroke

      research-article
      a , * , a , a , a , b , c , d , e , f , g , a , a , 1 , e , 1
      NeuroImage : Clinical
      Elsevier
      RS-FC, resting-state functional connectivity, fcOIS, functional connectivity optical intrinsic signal imaging, GSR, global signal regression, MSR, multiple signal regression, ROI, region of interest, NDi, intrahemispheric node degree, NDc, interhemispheric (contralateral) node degree, STD, standard environment, EE, enriched environment, PV, parvalbumin, M1, primary motor cortex, M2, secondary motor cortex, M2p, posterior secondary motor cortex, SFL, somatosensory forelimb cortex, PP, posterior parietal cortex, RS, retrosplenial cortex, VIS, visual cortex, Resting-state functional connectivity, Optical imaging, Stroke, Recovery, Enriched environment, Parvalbumin

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          Abstract

          Stroke causes direct structural damage to local brain networks and indirect functional damage to distant brain regions. Neuroplasticity after stroke involves molecular changes within perilesional tissue that can be influenced by regions functionally connected to the site of injury. Spontaneous functional recovery can be enhanced by rehabilitative strategies, which provides experience-driven cell signaling in the brain that enhances plasticity. Functional neuroimaging in humans and rodents has shown that spontaneous recovery of sensorimotor function after stroke is associated with changes in resting-state functional connectivity (RS-FC) within and across brain networks. At the molecular level, GABAergic inhibitory interneurons can modulate brain plasticity in peri-infarct and remote brain regions. Among this cell-type, a decrease in parvalbumin (PV)-immunoreactivity has been associated with improved behavioral outcome. Subjecting rodents to multisensory stimulation through exposure to an enriched environment (EE) enhances brain plasticity and recovery of function after stroke. Yet, how multisensory stimulation relates to RS-FC has not been determined. In this study, we investigated the effect of EE on recovery of RS-FC and behavior in mice after stroke, and if EE-related changes in RS-FC were associated with levels of PV-expressing neurons. Photothrombotic stroke was induced in the sensorimotor cortex. Beginning 2 days after stroke, mice were housed in either standard environment (STD) or EE for 12 days. Housing in EE significantly improved lost tactile-proprioceptive function compared to mice housed in STD environment. RS-FC in the mouse was measured by optical intrinsic signal imaging 14 days after stroke or sham surgery. Stroke induced a marked reduction in RS-FC within several perilesional and remote brain regions. EE partially restored interhemispheric homotopic RS-FC between spared motor regions, particularly posterior secondary motor. Compared to mice housed in STD cages, EE exposure lead to increased RS-FC between posterior secondary motor regions and contralesional posterior parietal and retrosplenial regions. The increased regional RS-FC observed in EE mice after stroke was significantly correlated with decreased PV-immunoreactivity in the contralesional posterior motor region. In conclusion, experimental stroke and subsequent housing in EE induces dynamic changes in RS-FC in the mouse brain. Multisensory stimulation associated with EE enhances RS-FC among distinct brain regions relevant for recovery of sensorimotor function and controlled movements that may involve PV/GABA interneurons. Our results indicate that targeting neural circuitry involving spared motor regions across hemispheres by neuromodulation and multimodal sensory stimulation could improve rehabilitation after stroke.

          Highlights

          • Disconnection within and across functional networks in the mouse brain after stroke is reduced following multisensory stimulation by enriched environment (EE).

          • Multisensory stimulation by EE enhances functional connectivity among distinct brain regions relevant for recovery of controlled movement and tactile-proprioception function.

          • Increased regional RS-FC observed in stimulated mice after stroke was significantly correlated with decreased regional parvalbumin-immunoreactive cell count.

          • Cortical regions related to motor control are possible targets for neuromodulation after stroke.

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          Most cited references61

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          A mesoscale connectome of the mouse brain.

          Comprehensive knowledge of the brain's wiring diagram is fundamental for understanding how the nervous system processes information at both local and global scales. However, with the singular exception of the C. elegans microscale connectome, there are no complete connectivity data sets in other species. Here we report a brain-wide, cellular-level, mesoscale connectome for the mouse. The Allen Mouse Brain Connectivity Atlas uses enhanced green fluorescent protein (EGFP)-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain. This systematic and standardized approach allows spatial registration of individual experiments into a common three dimensional (3D) reference space, resulting in a whole-brain connectivity matrix. A computational model yields insights into connectional strength distribution, symmetry and other network properties. Virtual tractography illustrates 3D topography among interconnected regions. Cortico-thalamic pathway analysis demonstrates segregation and integration of parallel pathways. The Allen Mouse Brain Connectivity Atlas is a freely available, foundational resource for structural and functional investigations into the neural circuits that support behavioural and cognitive processes in health and disease.
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            Modulation of brain plasticity in stroke: a novel model for neurorehabilitation.

            Noninvasive brain stimulation (NIBS) techniques can be used to monitor and modulate the excitability of intracortical neuronal circuits. Long periods of cortical stimulation can produce lasting effects on brain function, paving the way for therapeutic applications of NIBS in chronic neurological disease. The potential of NIBS in stroke rehabilitation has been of particular interest, because stroke is the main cause of permanent disability in industrial nations, and treatment outcomes often fail to meet the expectations of patients. Despite promising reports from many clinical trials on NIBS for stroke recovery, the number of studies reporting a null effect remains a concern. One possible explanation is that the interhemispheric competition model--which posits that suppressing the excitability of the hemisphere not affected by stroke will enhance recovery by reducing interhemispheric inhibition of the stroke hemisphere, and forms the rationale for many studies--is oversimplified or even incorrect. Here, we critically review the proposed mechanisms of synaptic and functional reorganization after stroke, and suggest a bimodal balance-recovery model that links interhemispheric balancing and functional recovery to the structural reserve spared by the lesion. The proposed model could enable NIBS to be tailored to the needs of individual patients.
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              Neural networks of the mouse neocortex.

              Numerous studies have examined the neuronal inputs and outputs of many areas within the mammalian cerebral cortex, but how these areas are organized into neural networks that communicate across the entire cortex is unclear. Over 600 labeled neuronal pathways acquired from tracer injections placed across the entire mouse neocortex enabled us to generate a cortical connectivity atlas. A total of 240 intracortical connections were manually reconstructed within a common neuroanatomic framework, forming a cortico-cortical connectivity map that facilitates comparison of connections from different cortical targets. Connectivity matrices were generated to provide an overview of all intracortical connections and subnetwork clusterings. The connectivity matrices and cortical map revealed that the entire cortex is organized into four somatic sensorimotor, two medial, and two lateral subnetworks that display unique topologies and can interact through select cortical areas. Together, these data provide a resource that can be used to further investigate cortical networks and their corresponding functions. Copyright © 2014 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                02 December 2017
                2018
                02 December 2017
                : 17
                : 717-730
                Affiliations
                [a ]Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical Sciences, Lund University, BMC A13, 22184 Lund, Sweden
                [b ]Department of Neurosurgery, University Hospital of Lund, Lund, Sweden
                [c ]School of Allied Health, La Trobe University, Melbourne, Vic., Australia
                [d ]Neurorehabilitation and Recovery Laboratory, Florey Institute of Neuroscience and Mental Health, Melbourne, Vic., Australia
                [e ]Department of Radiology, Washington University, Saint Louis, MO 63110, USA
                [f ]Department of Neurology, Washington University, Saint Louis, MO 63110, USA
                [g ]Department of Biomedical Engineering, Washington University, Saint Louis, MO 63110, USA
                Author notes
                [1]

                Joint senior author.

                Article
                S2213-1582(17)30302-9
                10.1016/j.nicl.2017.11.022
                5726755
                29264113
                990a3a1d-8bf4-4067-b943-97343c7eb5c4
                © 2017 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 31 July 2017
                : 27 October 2017
                : 23 November 2017
                Categories
                Regular Article

                rs-fc, resting-state functional connectivity,fcois, functional connectivity optical intrinsic signal imaging,gsr, global signal regression,msr, multiple signal regression,roi, region of interest,ndi, intrahemispheric node degree,ndc, interhemispheric (contralateral) node degree,std, standard environment,ee, enriched environment,pv, parvalbumin,m1, primary motor cortex,m2, secondary motor cortex,m2p, posterior secondary motor cortex,sfl, somatosensory forelimb cortex,pp, posterior parietal cortex,rs, retrosplenial cortex,vis, visual cortex,resting-state functional connectivity,optical imaging,stroke,recovery,enriched environment,parvalbumin

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