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Application of generalized linear models to investigate functional synaptic coupling and synchrony in an animal model of schizophrenia

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BMC neuroscience 2015年第1期16卷 1-2页

作者： Jennifer L Zick Rachael K Blackman Matthew V Chafee Theoden I Netoff Graduate Program in Neuroscience University of Minnesota Minneapolis MN 55455 USA Medical Scientist Training Program (MD/PhD) University of Minnesota Minneapolis MN 55455 USA Brain Sciences Center VA Medical Center Minneapolis MN 55417 USA Department of Biomedical Engineering University of Minnesota Minneapolis MN 55455 USA

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Inflammatory Mediators in Glioma Microenvironment Play a Dual Role in Gliomagenesis and Mesenchymal Stem Cell Homing: Implication for Cellular Therapy

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Mayo Clinic Proceedings: Innovations, Quality and Outcomes 2020年第4期4卷 443-459页

作者： Al-kharboosh, Rawan ReFaey, Karim Lara-Velazquez, Montserrat Grewal, Sanjeet S. Imitola, Jaime Quiñones-Hinojosa, Alfredo Department of Neurosurgery Mayo Clinic Jacksonville FL United States Mayo Clinic College of Medicine and Science Mayo Clinic Graduate School of Biomedical Sciences (Neuroscience Track) Regenerative Sciences Training Program Mayo Clinic Rochester MN United States Department of Neurology Research Division of Multiple Sclerosis and Translational Neuroimmunology UConn School of Medicine Farmington CT United States Plan of Combined Studies in Medicine (MD/PhD) National Autonomous University of Mexico Mexico City

Glioblastoma is the most aggressive malignant primary brain tumor, with a dismal prognosis and a devastating overall survival. Despite aggressive surgical resection and adjuvant treatment, average survival remains approximately 14.6 months. The brain tumor microenvironment is heterogeneous, comprising multiple populations of tumor, stromal, and immune cells. Tumor cells evade the immune system by suppressing several immune functions to enable survival. Gliomas release immunosuppressive and tumor-supportive soluble factors into the microenvironment, leading to accelerated cancer proliferation, invasion, and immune escape. Mesenchymal stem cells (MSCs) isolated from bone marrow, adipose tissue, or umbilical cord are a promising tool for cell-based therapies. One crucial mechanism mediating the therapeutic outcomes often seen in MSC application is their tropism to sites of injury. Furthermore, MSCs interact with host immune cells to regulate the inflammatory response, and data points to the possibility of using MSCs to achieve immunomodulation in solid tumors. Interleukin 1β, interleukin 6, tumor necrosis factor α, transforming growth factor β, and stromal cell–derived factor 1 are notably up-regulated in glioblastoma and dually promote immune and MSC trafficking. Mesenchymal stem cells have widely been regarded as hypoimmunogenic, enabling this cell-based administration across major histocompatibility barriers. In this review, we will highlight (1) the bidirectional communication of glioma cells and tumor-associated immune cells, (2) the inflammatory mediators enabling leukocytes and transplantable MSC migration, and (3) review preclinical and human clinical trials using MSCs as delivery vehicles. Mesenchymal stem cells possess innate abilities to migrate great distances, cross the blood-brain barrier, and communicate with surrounding cells, all of which make them desirable “Trojan horses” for brain cancer therapy. © 2020 Mayo Foundation for Medical Education and Rese

关键词： AMSC adipose tissue–derived mesenchymal stem cell BBB blood-brain barrier BMSC bone marrow–derived mesenchymal stem cell CED convection-enhanced delivery DC dendritic cell EGFRvIII EGFR variant III 5-FC 5-fluorocytosine GBM glioblastoma GSC glioma stem cell IFN interferon IL interleukin MDSC myeloid-derived suppressor cell MHC major histocompatibility complex MSC mesenchymal stem cell NSC neural stem cell TAM tumor-associated macrophage TGF transforming growth factor TNF tumor necrosis factor UC-MSC umbilical cord MSC

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Bow hunter’s syndrome successfully treated with a posterior surgical decompression approach:A case report and review of literature

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World Journal of Clinical Cases 2022年第14期10卷 4494-4501页

作者： NiccolòOrlandi Francesco Cavallieri Ilaria Grisendi Antonio Romano Reza Ghadirpour Manuela Napoli Claudio Moratti Matteo Zanichelli Rosario Pascarella Franco Valzania Marialuisa Zedde Department of Biomedical Metabolic and Neural SciencesCenter for Neuroscience and NeurotechnologyUniversity of Modena and Reggio EmiliaModena 41121Italy Neurology Unit Neuromotor and Rehabilitation DepartmentAzienda USL-IRCCS di Reggio EmiliaReggio Emilia 42123Italy Clinical and Experimental Medicine PhD Program University of Modena and Reggio EmiliaModena 41121Italy Neurosurgery Unit Neuromotor and Rehabilitation DepartmentAzienda USL-IRCCS di Reggio EmiliaReggio Emilia 42123Italy Neuroradiology Unit Department of Diagnostic Imaging and Laboratory MedicineAzienda USL-IRCCS di Reggio EmiliaReggio Emilia 41123Italy

BACKGROUND Bow hunter’s syndrome(BHS)is a rare but surgically treatable cause of vertebrobasilar insufficiency due to dynamic rotational occlusion of the vertebral ***,patients present with posterior circulation transient ischaemic symptoms such as presyncope,syncope,vertigo,diplopia,and horizontal nystagmus,but irreversible deficits,including medullary and cerebellar infarctions,have also been *** SUMMARY A 70-year-old patient presented an acute onset of vertigo and gait instability triggered by right head *** medical history included previous episodes of unilateral left neck and occipital pain followed by light-headedness,sweating,and blurred vision when turning his head,and these episodes were associated with severe degenerative changes in the atlanto-dens and left atlanto-axial facet joints and right rotation of the C2 cervical *** magnetic resonance imaging revealed the presence of acute bilateral cerebellar ischaemic lesions,while static vascular imaging did not reveal any vertebral artery *** ultrasonography and angiography were performed and confirmed the presence of a dynamic occlusion of the vertebral artery V3-V4 segment when the head was rotated to the right secondary to left C1-C2 bone spur *** decompression led to complete resolution of paroxysmal symptoms without neurological *** BHS should be considered in cases of repeated posterior circulation transient ischaemic attack or ischaemic stroke,particularly when associated with high cervical spine abnormalities.

关键词： Bow hunter’s syndrome Stroke Non-invasive duplex ultrasonography Dynamic angiography Neurosurgery Case report

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Multi-site laser Doppler flowmetry for assessing collateral flow in experimental ischemic stroke: Validation of outcome prediction with acute MRI

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JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 2017年第6期37卷 2159-2170页

作者： Cuccione, Elisa Versace, Alessandro Cho, Tae-Hee Carone, Davide Berner, Lise-Prune Ong, Elodie Rousseau, David Cai, Ruiyao Monza, Laura Ferrarese, Carlo Sganzerla, Erik P. Berthezene, Yves Nighoghossian, Norbert Wiart, Marlene Beretta, Simone Chauveau, Fabien Univ Milano Bicocca Dept Med & Surg Lab Expt Stroke Res Via Cadore 48 I-20900 Monza MI Italy Univ Milano Bicocca PhD Program Neurosci Monza Italy Univ Lyon 1 CREATIS CNRS UMR5220 Inserm U1044INSA Lyon Lyon France Hosp Civils Lyon Lyon France Milan Ctr Neuroscience NeuroMi Milan Italy Univ Lyon 1 Lyon Neurosci Res Ctr BioRaN Team CNRS UMR5292Inserm U1028 Lyon France

High variability in infarct size is common in experimental stroke models and affects statistical power and validity of neuroprotection trials. The aim of this study was to explore cerebral collateral flow as a stratification factor for the prediction of ischemic outcome. Transient intraluminal occlusion of the middle cerebral artery was induced for 90min in 18 Wistar rats. Cerebral collateral flow was assessed intra-procedurally using multi-site laser Doppler flowmetry monitoring in both the lateral middle cerebral artery territory and the borderzone territory between middle cerebral artery and anterior cerebral artery. Multi-modal magnetic resonance imaging was used to assess acute ischemic lesion (diffusion-weighted imaging, DWI), acute perfusion deficit (time-to-peak, TTP), and final ischemic lesion at 24h. Infarct volumes and typology at 24h (large hemispheric versus basal ganglia infarcts) were predicted by both intra-ischemic collateral perfusion and acute DWI lesion volume. Collateral flow assessed by multi-site laser Doppler flowmetry correlated with the corresponding acute perfusion deficit using TTP maps. Multi-site laser Doppler flowmetry monitoring was able to predict ischemic outcome and perfusion deficit in good agreement with acute MRI. Our results support the additional value of cerebral collateral flow monitoring for outcome prediction in experimental ischemic stroke, especially when acute MRI facilities are not available.

关键词： Cerebral collateral flow laser Doppler flowmetry magnetic resonance imaging middle cerebral artery occlusion Wistar rat

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Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders

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Biological Psychiatry 2025年

作者： Fortea, Lydia Ortuño, Maria De Prisco, Michele Oliva, Vincenzo Albajes-Eizagirre, Anton Fortea, Adriana Madero, Santiago Solanes, Aleix Vilajosana, Enric Yao, Yuanwei Del Fabro, Lorenzo Solé, Eduard Verdolini, Norma Farré-Colomés, Alvar Serra-Blasco, Maria Picó-Pérez, Maria Lukito, Steve Wise, Toby Carlisi, Christina Arnone, Danilo Kempton, Matthew J. Hauson, Alexander Omar Wollman, Scott Soriano-Mas, Carles Rubia, Katya Norman, Luke Fusar-Poli, Paolo Mataix-Cols, David Valentí, Marc Via, Esther Cardoner, Narcis Solmi, Marco Zhang, Jintao Pan, Pinglei Shin, Jae Il Fullana, Miquel A. Vieta, Eduard Radua, Joaquim Institut d'Investigacions Biomèdiques August Pi I Sunyer Barcelona Spain Department of Medicine University of Barcelona Institute of Neuroscience Barcelona Spain Centro de Investigación Biomédica en Red de Salud Mental Instituto de Salud Carlos III Madrid Spain Bipolar and Depressive Disorders Unit Hospital Clínic Barcelona Spain Department of Biomedical and Neuromotor Sciences University of Bologna Bologna Italy Psychiatric and Psychology Service Hospital Clínic Barcelona Spain Schizophrenia Unit Hospital Clínic Barcelona Spain Department of Psychology The University of Hong Kong Hong Kong Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany Department of Pathophysiology and Transplantation University of Milan Milan Italy Local Health Unit Umbria 1 Department of Mental Health Mental Health Center of Perugia Perugia Italy Department of Addictive Behaviour and Addiction Medicine Central Institute of Mental Health Medical Faculty of Mannheim Heidelberg University Mannheim Germany eHealth ICOnnecta't Program and Psycho-Oncology Service Institut Català d'Oncologia L'Hospitalet de Llobregat Spain Psycho-oncology and Digital Health Group Health Services Research in Cancer Institut d'Investigació Biomèdica de Bellvitge L'Hospitalet del Llobregat Spain Live and Health Sciences Research Institute University of Minho Braga Portugal ICVS/3B's PT Government Associate Laboratory Guimarães Braga Portugal Departamento de Psicología Básica Universitat Jaume I Castelló de la Plana Spain Department of Child and Adolescent Psychiatry Institute of Psychology Psychiatry and Neuroscience King's College London London United Kingdom Department of Neuroimaging Institute of Psychiatry Psychology & Neurosciences King's College London London United Kingdom Division of Psychology and Language Sciences University College London London United Kingdom Centre for Affective Disorders Psychological Medicine King's College London Londo

Background: Regional gray matter volume (GMV) differences between individuals with mental disorders and comparison participants may be confounded by co-occurring disorders. To disentangle disorder-specific GMV correlates, we conducted a large-scale multidisorder meta-analysis using a novel approach that explicitly models co-occurring disorders. Methods: We systematically reviewed voxel-based morphometry studies indexed in PubMed and Scopus up to January 2023 that compared adults with major mental disorders (anorexia nervosa, schizophrenia spectrum, anxiety, bipolar, major depressive, obsessive-compulsive, and posttraumatic stress disorders plus attention-deficit/hyperactivity, autism spectrum, and borderline personality disorders) with comparison participants. Two authors independently extracted data and assessed quality using the Newcastle-Ottawa Scale. We derived GMV correlates for each disorder using: 1) a multidisorder meta-analysis that accounted for all co-occurring mental disorders simultaneously and 2) separate standard meta-analyses for each disorder in which co-occurring disorders were ignored. We assessed the alterations’ extent, intensity (effect size), and specificity (interdisorder correlations and transdiagnostic alterations) for both approaches. Results: We included 433 studies (499 datasets) involving 19,718 patients and 16,441 comparison participants (51% female, ages 20–67 years). We provide GMV correlate maps for each disorder using both approaches. The novel approach, which accounted for co-occurring disorders, produced GMV correlates that were more focal and disorder specific (less correlated across disorders and fewer transdiagnostic abnormalities). Conclusions: This work offers the most comprehensive atlas of GMV correlates across major mental disorders. Modeling co-occurring disorders yielded more specific correlates, supporting this approach's validity. The atlas NIfTI maps are available online. © 2024 Society of Biological Psychiatry

关键词： Anxiety disorders Comorbidity Gray matter volume Major depressive disorder Meta-analysis Psychiatric conditions

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Unveiling DNA methylation in Alzheimer’s disease:a review of array-based human brain studies

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Neural Regeneration Research 2024年第11期19卷 2365-2376页

作者： Victoria Cunha Alves Eva Carro Joana Figueiro-Silva Neurodegenerative Diseases Group Hospital Universitario 12 de Octubre Research Institute(imas12)MadridSpain Network Center for Biomedical Research Neurodegenerative Diseases(CIBERNED)MadridSpain PhD Program in Neuroscience Autonoma de Madrid UniversityMadridSpain Neurotraumatology and Subarachnoid Hemorrhage Group Hospital Universitario 12 de Octubre Research Institute(imas12)MadridSpain Neurobiology of Alzheimer’s Disease Unit Functional Unit for Research Into Chronic DiseasesInstituto de Salud Carlos IIIMadridSpain Institute of Medical Genetics University of ZurichZurichSwitzerland Department of Molecular Life Science University of ZurichZurichSwitzerland

The intricacies of Alzheimer’s disease pathogenesis are being increasingly illuminated by the exploration of epigenetic mechanisms,particularly DNA *** review comprehensively surveys recent human-centered studies that investigate whole genome DNA methylation in Alzheimer’s disease *** examination of various brain regions reveals distinctive DNA methylation patterns that associate with the Braak stage and Alzheimer’s disease *** entorhinal cortex emerges as a focal point due to its early histological alterations and subsequent impact on downstream regions like the ***,ANK1 hypermethylation,a protein implicated in neurofibrillary tangle formation,was recurrently identified in the entorhinal ***,the middle temporal gyrus and prefrontal cortex were shown to exhibit significant hypermethylation of genes like HOXA3,RHBDF2,and MCF2L,potentially influencing neuroinflammatory *** complex role of BIN1 in late-onset Alzheimer’s disease is underscored by its association with altered methylation *** the disparities across studies,these findings highlight the intricate interplay between epigenetic modifications and Alzheimer’s disease *** research efforts should address methodological variations,incorporate diverse cohorts,and consider environmental factors to unravel the nuanced epigenetic landscape underlying Alzheimer’s disease progression.

关键词： Alzheimer’s disease ANK1 BIN1 DNA methylation epigenome-wide association studies HOXA3 MCF2L RHBDF2

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NREM and REM: cognitive and energetic gains in thalamo-cortical sleeping and awake spiking model

arXiv

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arXiv 2022年

作者： De Luca, Chiara Tonielli, Leonardo Pastorelli, Elena Capone, Cristiano Simula, Francesco Lupo, Cosimo Bernava, Irene Tiddia, Gianmarco De Bonis, Giulia Golosio, Bruno Paolucci, Pier Stanislao Istituto Nazionale di Fisica Nucleare Sezione di Roma Italy PhD Program in Behavioural Neuroscience "Sapienza" University of Rome Italy Dipartimento di Fisica Università di Cagliari Italy Istituto Nazionale di Fisica Nucleare Sezione di Cagliari Italy

Sleep is essential for learning and cognition, but the mechanisms by which it stabilizes learning, supports creativity, and manages the energy consumption of networks engaged in post-sleep task have not been yet modelled. During sleep, the brain cycles between non-rapid eye movement (NREM), a mainly unconscious state characterized by collective oscillations, and rapid eye movement (REM), associated with the integrated experience of dreaming. We propose a biologically grounded two-area thalamo-cortical plastic spiking neural network model and investigate the role of NREM - REM cycles on its awake performance. We demonstrate that sleep has a positive effect on energy consumption and cognitive performance during the post-sleep awake classification task of handwritten digits. NREM and REM simulated dynamics modify the synaptic structure into a sharper representation of training experiences. Sleep-induced synaptic modifications reduce firing rates and synaptic activity without reducing cognitive performance. Also, it creates novel multi-area associations. The model leverages the apical amplification, isolation and drive experimentally grounded principles and the combination of contextual and perceptual information. In summary, the main novelty is the proposal of a multi-area plastic model that also expresses REM and integrates information during a plastic dream-like state, with cognitive and energetic benefits during post-sleep awake classification. © 2022, CC BY.

关键词： Neural network models

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Gaussian and exponential lateral connectivity on distributed spiking neural network simulation

arXiv

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arXiv 2018年

作者： Pastorelli, Elena Paolucci, Pier Stanislao Simula, Francesco Biagioni, Andrea Capuani, Fabrizio Cretaro, Paolo De Bonis, Giulia Lo Cicero, Francesca Lonardo, Alessandro Martinelli, Michele Pontisso, Luca Vicini, Piero Ammendola, Roberto INFN Sezione di Roma PhD Program in Behavioural Neuroscience Sapienza University of Rome Rome Italy INFN Sezione di Roma Rome Italy INFN Sezione di Tor Vergata Electronic Engineering Dept. University of Roma Tor Vergata Rome Italy

We measured the impact of long-range exponentially decaying intra-areal lateral connectivity on the scaling and memory occupation of a distributed spiking neural network simulator compared to that of short-range Gaussian decays. While previous studies adopted short-range connectivity, recent experimental neurosciences studies are pointing out the role of longer-range intra-areal connectivity with implications on neural simulation platforms. Two-dimensional grids of cortical columns composed by up to 11 M point-like spiking neurons with spike frequency adaption were connected by up to 30 G synapses using short- and long-range connectivity models. The MPI processes composing the distributed simulator were run on up to 1024 hardware cores, hosted on a 64 nodes server platform. The hardware platform was a cluster of IBM NX360 M5 16-core compute nodes, each one containing two Intel Xeon Haswell 8-core E5-2630 v3 processors, with a clock of 2.40 G Hz, interconnected through an InfiniBand network, equipped with 4× QDR switches. Copyright © 2018, The Authors. All rights reserved.

关键词： Neural networks

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Real-time cortical simulations: Energy and interconnect scaling on distributed systems

arXiv

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arXiv 2018年

作者： Simula, Francesco Pastorelli, Elena Paolucci, Pier Stanislao Martinelli, Michele Lonardo, Alessandro Biagioni, Andrea Capone, Cristiano Capuani, Fabrizio Cretaro, Paolo de Bonis, Giulia Cicero, Francesca Lo Pontisso, Luca Vicini, Piero Ammendola, Roberto INFN Sezione di Roma Rome Italy INFN Sezione di Roma and PhD Program in Behavioural Neuroscience "Sapienza" University of Rome Rome Italy INFN Sezione di Tor Vergata and Electronic Engineering Dept. University of Roma "Tor Vergata" Rome Italy

We profile the impact of computation and inter-processor communication on the energy consumption and on the scaling of cortical simulations approaching the real-time regime on distributed computing platforms. Also, the speed and energy consumption of processor architectures typical of standard HPC and embedded platforms are compared. We demonstrate the importance of the design of low-latency interconnect for speed and energy consumption. The cost of cortical simulations is quantified using the Joule per synaptic event metric on both architectures. Reaching efficient real-time on large scale cortical simulations is of increasing relevance for both future bio-inspired artificial intelligence applications and for understanding the cognitive functions of the brain, a scientific quest that will require to embed large scale simulations into highly complex virtual or real worlds. This work stands at the crossroads between the WaveScalES experiment in the Human Brain Project (HBP), which includes the objective of large scale thalamo-cortical simulations of brain states and their transitions, and the ExaNeSt and EuroExa projects, that investigate the design of an ARM-based, low-power High Performance Computing (HPC) architecture with a dedicated interconnect scalable to million of cores;simulation of deep sleep Slow Wave Activity (SWA) and Asynchronous aWake (AW) regimes expressed by thalamo-cortical models are among their benchmarks. Copyright © 2018, The Authors. All rights reserved.

关键词： Energy utilization

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Functional Connectome-Based Predictive Modeling in Autism

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BIOLOGICAL PSYCHIATRY 2022年第8期92卷 626-642页

作者： Horien, Corey Floris, Dorothea L. Greene, Abigail S. Noble, Stephanie Rolison, Max Tejavibulya, Link O'Connor, David McPartland, James C. Scheinost, Dustin Chawarska, Katarzyna Lake, Evelyn M. R. Constable, R. Todd [a]Interdepartmental Neuroscience Program Yale School of Medicine New Haven Connecticut [b]MD-PhD Program Yale School of Medicine New Haven Connecticut [c]Department of Pediatrics Yale School of Medicine New Haven Connecticut [d]Department of Neurosurgery Yale School of Medicine New Haven Connecticut [e]Department of Radiology and Biomedical Imaging Yale School of Medicine New Haven Connecticut [f]Department of Biomedical Engineering Yale University New Haven Connecticut [g]Department of Psychology Yale University New Haven Connecticut [h]Department of Statistics and Data Science Yale University New Haven Connecticut [i]Yale Child Study Center New Haven Connecticut [j]Methods of Plasticity Research Department of Psychology University of Zürich Zurich Switzerland [k]Donders Center for Brain Cognition and Behavior Radboud University Nijmegen Nijmegen The Netherlands

Autism is a heterogeneous neurodevelopmental condition, and functional magnetic resonance imaging-based studies have helped advance our understanding of its effects on brain network activity. We review how predictive modeling, using measures of functional connectivity and symptoms, has helped reveal key insights into this condition. We discuss how different prediction frameworks can further our understanding of the brain-based features that underlie complex autism symptomatology and consider how predictive models may be used in clinical settings. Throughout, we highlight aspects of study interpretation, such as data decay and sampling biases, that require consideration within the context of this condition. We close by suggesting exciting future directions for predictive modeling in autism.

关键词： Clinical translation Development Fingerprinting Individual differences Machine learning Resting-state fMRI

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