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Kynurenic acid affects amplitude of functional spontaneous activity and cognition in bipolar disorder

neuroscience Applied 2024年 3卷

作者： B. Bravi M. Palladini S. Poletti S. Comai C. Colombo R. Zanardi F. Benedetti IRCCS Scientific Institute San Raffaele Hospital Division of Neuroscience- Psychiatry & Clinical Psychobiology Unit Milan Italy Vita-Salute San Raffaele University PhD program in Cognitive Neurosciences Milan Italy Vita-Salute San Raffaele University Medicine and Surgery Faculty Milan Italy University of Padua Department of Pharmaceutical and Pharmacological Sciences Padua Italy IRCCS Scientific Institute San Raffaele Hospital Mood Disorders Unit Milan Italy Vita-Salute San Raffaele University Psychology Faculty Milan Italy

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Choroid plexus volume is increased in treatment-resistant major depressive disorder

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neuroscience Applied 2024年 3卷

作者： B. Bravi M. Paolini M. Maccario C. Milano C. Colombo R. Zanardi F. Benedetti IRCCS Scientific Institute San Raffaele Hospital Division of Neuroscience- Psychiatry & Clinical Psychobiology Unit Milan Italy Vita-Salute San Raffaele University PhD program in Cognitive Neurosciences Milan Italy Vita-Salute San Raffaele University Department of Clinical Neurosciences Milan Italy IRCCS Scientific Institute San Raffaele Hospital Mood Disorders Unit Milan Italy Vita-Salute San Raffaele University Medicine and Surgery Faculty Milan Italy Vita-Salute San Raffaele University Psychology Faculty Milan Italy

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Investigating the neural correlates of treatment-resistance depression: a white matter integrity study

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neuroscience Applied 2024年 3卷

作者： C. Milano B. Bravi M. Paolini M. Maccario C. Colombo R. Zanardi F. Benedetti IRCCS San Raffaele Scientific Institute Division of Neuroscience- Psychiatry and Clinical Psychobiology Unit Milan Italy Vita-Salute San Raffaele University PhD program in Cognitive Neurosciences Milan Italy Vita-Salute San Raffaele University Mood Disorders Unit Milan Italy IRCCS Scientific Institute San Raffaele Hospital Mood Disorders Unit Milan Italy Vita-Salute San Raffaele University Medicine and Surgery Faculty Milan Italy Vita-Salute San Raffaele University Psychology Faculty Milan Italy

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Signature of psychotic features on white matter in bipolar disorder and schizophrenia

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neuroscience Applied 2022年 1卷

作者： B. Bravi I. Bollettini S. Poletti M. Spangaro R. Cavallaro C. Colombo R. Zanardi F. Benedetti 1IRCCS Ospedale San Raffaele Psychiatry & Clinical Psychobiology Unit- Division of Neuroscience Milano Italy 2Vita-Salute San Raffaele University Division of Neuroscience Milan Italy 3Vita-Salute San Raffaele University PhD program in Cognitive Neurosciences Milan Italy 4Vita-Salute San Raffaele University C.E.R.M.A.C. Centro di Eccellenza Risonanza Magnetica ad Alto Campo Milan Italy 5IRCCS Ospedale San Raffaele Schizophrenia Research and Clinical Unit - Department of Clinical Neurosciences Milan Italy 6IRCCS Ospedale San Raffaele Mood Disorders Unit Milano Italy

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P.861Gender-specific involvement of Methyl-CpG binding protein 2 in vulnerability to stress: evidence from a healthy cohort

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European Neuropsychopharmacology 2020年 40卷 S477-S478页

作者： Cosentino, L. Zidda, F. Witt, S. De Filippis, B. Flor, H. Istituto Superiore di Sanità Center for Behavioral Sciences and Mental Health Rome Italy Sapenza University of Roma PhD program in Behavioral Neuroscience Roma Italy Central Institute of Mental Health- Medical Faculty Mannheim- Heidelberg University Department of Cognitive and Clinical Neuroscience Mannheim Germany Central Institute of Mental Health- Medical Faculty Mannheim- Heidelberg University Department of Genetic Epidemiology in Psychiatry Mannheim Germany

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Analysis and Model of Cortical Slow Waves Acquired with Optical Techniques

arXiv

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arXiv 2018年

作者： Celotto, Marco de Luca, Chiara Muratore, Paolo Resta, Francesco Mascaro, Anna Letizia Allegra Pavone, Francesco Saverio de Bonis, Giulia Paolucci, Pier Stanislao Department of Physics "Sapienza" University of Rome Rome00185 Italy LENS University of Florence Florence50019 Italy Istituto di Neuroscienze CNR Pisa56124 Italy Department of Physics University of Florence Florence50019 Italy INFN Rome00185 Italy IIT - Neural Computation Lab CNCS@UniTn Rovereto38068 Italy PhD Program in Behavioural Neuroscience "Sapienza" University of Rome Rome00185 Italy PhD Program in Cognitive Neuroscience SISSA Trieste34136 Italy

Slow waves (SWs) are spatio-temporal patterns of cortical activity that occur both during natural sleep and anesthesia and are preserved across species. Even though electrophysiological recordings have been largely used to characterize brain states, they are limited in the spatial resolution and cannot target specific neuronal population. Recently, large-scale optical imaging techniques coupled with functional indicators overcame these restrictions, and new pipelines of analysis and novel approaches of SWs modelling are needed to extract relevant features of the spatio-temporal dynamics of SWs from these highly spatially resolved data-sets. Here we combined wide-field fluorescence microscopy and a transgenic mouse model expressing a calcium indicator (GCaMP6f) in excitatory neurons to study SW propagation over the meso-scale under ketamine anesthesia. We developed a versatile analysis pipeline to identify and quantify the spatio-temporal propagation of the SWs. Moreover, we designed a computational simulator based on a simple theoretical model, which takes into account the statistics of neuronal activity, the response of fluorescence proteins and the slow waves dynamics. The simulator was capable of synthesizing artificial signals that could reliably reproduce several features of the SWs observed in vivo, thus enabling a calibration tool for the analysis pipeline. Comparison of experimental and simulated data shows the robustness of the analysis tools and its potential to uncover mechanistic insights of the Slow Wave Activity (SWA). Copyright © 2018, The Authors. All rights reserved.

关键词： Fluorescence microscopy

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Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

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Nature medicine 2024年第12期30卷 3779页

作者： Sebastian Moguilner Sandra Baez Hernan Hernandez Joaquín Migeot Agustina Legaz Raul Gonzalez-Gomez Francesca R Farina Pavel Prado Jhosmary Cuadros Enzo Tagliazucchi Florencia Altschuler Marcelo Adrián Maito María E Godoy Josephine Cruzat Pedro A Valdes-Sosa Francisco Lopera John Fredy Ochoa-Gómez Alfredis Gonzalez Hernandez Jasmin Bonilla-Santos Rodrigo A Gonzalez-Montealegre Renato Anghinah Luís E d'Almeida Manfrinati Sol Fittipaldi Vicente Medel Daniela Olivares Görsev G Yener Javier Escudero Claudio Babiloni Robert Whelan Bahar Güntekin Harun Yırıkoğulları Hernando Santamaria-Garcia Alberto Fernández Lucas David Huepe Gaetano Di Caterina Marcio Soto-Añari Agustina Birba Agustin Sainz-Ballesteros Carlos Coronel-Oliveros Amanuel Yigezu Eduar Herrera Daniel Abasolo Kerry Kilborn Nicolás Rubido Ruaridh A Clark Ruben Herzog Deniz Yerlikaya Kun Hu Mario A Parra Pablo Reyes Adolfo M García Diana L Matallana José Alberto Avila-Funes Andrea Slachevsky María I Behrens Nilton Custodio Juan F Cardona Pablo Barttfeld Ignacio L Brusco Martín A Bruno Ana L Sosa Ortiz Stefanie D Pina-Escudero Leonel T Takada Elisa Resende Katherine L Possin Maira Okada de Oliveira Alejandro Lopez-Valdes Brian Lawlor Ian H Robertson Kenneth S Kosik Claudia Duran-Aniotz Victor Valcour Jennifer S Yokoyama Bruce Miller Agustin Ibanez Latin American Brain Health Institute Universidad Adolfo Ibañez Santiago de Chile Chile. Cognitive Neuroscience Center Universidad de San Andrés Buenos Aires Argentina. Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston MA USA. Universidad de los Andes Bogota Colombia. Global Brain Health Institute (GBHI) University of California San Francisco CA USA. Global Brain Health Institute (GBHI) Trinity College Dublin Dublin Ireland. The University of California Santa Barbara (UCSB) Santa Barbara CA USA. Escuela de Fonoaudiología Universidad San Sebastián Santiago de Chile Chile. Grupo de Bioingeniería Decanato de Investigación Universidad Nacional Experimental del Táchira San Cristóbal Venezuela. Advanced Center for Electrical and Electronic Engineering Universidad Técnica Federico Santa María Valparaíso Chile. University of Buenos Aires Buenos Aires Argentina. The Clinical Hospital of Chengdu Brain Sciences Institute University of Electronic Sciences and Technology of China Chengdu China. Technology of China Chengdu China. Cuban Neuroscience Center La Habana Cuba. Grupo de Neurociencias de Antioquia (GNA) University of Antioquia Medellín Colombia. Department of Psychology Master Program of Clinical Neuropsychology Universidad Surcolombiana Neiva Neiva Colombia. Department of Psychology Universidad Cooperativa de Colombia Arauca Colombia. Neurocognition and Psychophysiology Laboratory Universidad Surcolombiana Neiva Colombia. Reference Center of Behavioural Disturbances and Dementia School of Medicine University of Sao Paulo Sao Paulo Brazil. Traumatic Brain Injury Cognitive Rehabilitation Out-Patient Center University of Sao Paulo Sao Paulo Brazil. Center for Social and Cognitive Neuroscience School of Psychology Universidad Adolfo Ibáñez Santiago Chile. Neuropsychology and Clinical Neuroscience Laboratory (LANNEC) Physiopathology Program-Institute of Biomedical Sciences (ICBM) Neuroscience and East Neuroscience Dep

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Author Correction: The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds

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Scientific data 2024年第1期11卷 19页

作者： Pavel Prado Vicente Medel Raul Gonzalez-Gomez Agustín Sainz-Ballesteros Victor Vidal Hernando Santamaría-García Sebastian Moguilner Jhony Mejia Andrea Slachevsky Maria Isabel Behrens David Aguillon Francisco Lopera Mario A Parra Diana Matallana Marcelo Adrián Maito Adolfo M Garcia Nilton Custodio Alberto Ávila Funes Stefanie Piña-Escudero Agustina Birba Sol Fittipaldi Agustina Legaz Agustín Ibañez Latin American Brain Health Institute (BrainLat) Universidad Adolfo Ibáñez Santiago Chile. Escuela de Fonoaudiología Facultad de Odontología y Ciencias de la Rehabilitación Universidad San Sebastián Santiago Chile. PhD Neuroscience Program Physiology and Psychiatry Departments Pontificia Universidad Javeriana Bogotá Colombia. Memory and Cognition Center Intellectus Hospital Universitario San Ignacio Bogotá Colombia. Global Brain Health Institute University of California San Francisco San Francisco USA. Global Brain Health Institute Trinity College Dublin Dublin Ireland. Cognitive Neuroscience Center (CNC) Universidad de San Andrés & CONICET Buenos Aires Argentina. Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston MA USA. Departamento de Ingeniería Biomédica Universidad de Los Andes Bogotá Colombia. Memory and Aging Clinic University of California San Francisco San Francisco USA. Neuropsychology and Clinical Neuroscience Laboratory (LANNEC) Physiopathology Department - Institute of Biomedical Sciences (ICBM) Neurocience and East Neuroscience Departments Faculty of Medicine University of Chile Santiago de Chile Chile. Geroscience Center for Brain Health and Metabolism (GERO) Santiago de Chile Chile. Memory and Neuropsychiatric Center (CMYN) Memory Unit - Neurology Department Hospital del Salvador and Faculty of Medicine University of Chile Santiago de Chile Chile. Servicio de Neurología Departamento de Medicina Clínica Alemana-Universidad del Desarrollo Santiago de Chile Chile. Centro de Investigación Clínica Avanzada (CICA) Facultad de Medicina-Hospital Clínico Universidad de Chile Independencia Santiago 8380453 Chile. Departamento de Neurología y Neurocirugía Hospital Clínico Universidad de Chile Independencia Santiago 8380430 Chile. Departamento de Neurociencia Facultad de Medicina Universidad de Chile Independencia Santiago 8380453 Chile. Departamento de Neurología y Psiquiatría Clínica Alemana-Universida

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Brain-like object recognition with high-performing shallow recurrent ANNs

arXiv

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arXiv 2019年

作者： Kubilius, Jonas Schrimpf, Martin Kar, Kohitij Rajalingham, Rishi Hong, Ha Majaj, Najib J. Issa, Elias B. Bashivan, Pouya Prescott-Roy, Jonathan Schmidt, Kailyn Nayebi, Aran Bear, Daniel Yamins, Daniel L.K. DiCarlo, James J. McGovern Institute for Brain Research MIT CambridgeMA02139 United States Brain and Cognition KU Leuven Leuven Belgium Department of Brain and Cognitive Sciences MIT CambridgeMA02139 United States Center for Brains Minds and Machines MIT CambridgeMA02139 Bay Labs Inc. San FranciscoCA94102 United States Center for Neural Science New York University New YorkNY10003 United States Department of Neuroscience Zuckerman Mind Brain Behavior Institute Columbia University New YorkNY10027 United States Neurosciences PhD Program Stanford University StanfordCA94305 United States Department of Psychology Stanford University StanfordCA94305 United States Department of Computer Science Stanford University StanfordCA94305 United States

Deep convolutional artificial neural networks (ANNs) are the leading class of candidate models of the mechanisms of visual processing in the primate ventral stream. While initially inspired by brain anatomy, over the past years, these ANNs have evolved from a simple eight-layer architecture in AlexNet to extremely deep and branching architectures, demonstrating increasingly better object categorization performance, yet bringing into question how brain-like they still are. In particular, typical deep models from the machine learning community are often hard to map onto the brain's anatomy due to their vast number of layers and missing biologically-important connections, such as recurrence. Here we demonstrate that better anatomical alignment to the brain and high performance on machine learning as well as neuroscience measures do not have to be in contradiction. We developed CORnet-S, a shallow ANN with four anatomically mapped areas and recurrent connectivity, guided by Brain-Score, a new large-scale composite of neural and behavioral benchmarks for quantifying the functional fidelity of models of the primate ventral visual stream. Despite being significantly shallower than most models, CORnet-S is the top model on Brain-Score and outperforms similarly compact models on ImageNet. Moreover, our extensive analyses of CORnet-S circuitry variants reveal that recurrence is the main predictive factor of both Brain-Score and ImageNet top-1 performance. Finally, we report that the temporal evolution of the CORnet-S "IT" neural population resembles the actual monkey IT population dynamics. Taken together, these results establish CORnet-S, a compact, recurrent ANN, as the current best model of the primate ventral visual stream. Copyright © 2019, The Authors. All rights reserved.

关键词： Object recognition

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Author Correction: Aplp1 interacts with Lag3 to facilitate transmission of pathologic α-synuclein

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Nature communications 2024年第1期15卷 6413页

作者： Xiaobo Mao Hao Gu Donghoon Kim Yasuyoshi Kimura Ning Wang Enquan Xu Ramhari Kumbhar Xiaotian Ming Haibo Wang Chan Chen Shengnan Zhang Chunyu Jia Yuqing Liu Hetao Bian Senthilkumar S Karuppagounder Fatih Akkentli Qi Chen Longgang Jia Heehong Hwang Su Hyun Lee Xiyu Ke Michael Chang Amanda Li Jun Yang Cyrus Rastegar Manjari Sriparna Preston Ge Saurav Brahmachari Sangjune Kim Shu Zhang Yasushi Shimoda Martina Saar Haiqing Liu Sin Ho Kweon Mingyao Ying Creg J Workman Dario A A Vignali Ulrike C Muller Cong Liu Han Seok Ko Valina L Dawson Ted M Dawson Neuroregeneration and Stem Cell Programs Institute for Cell Engineering Johns Hopkins University School of Medicine Baltimore MD 21205 USA. xmao4@jhmi.edu. Department of Neurology Johns Hopkins University School of Medicine Baltimore MD 21205 USA. xmao4@jhmi.edu. Adrienne Helis Malvin Medical Research Foundation New Orleans LA 70130-2685 USA. xmao4@jhmi.edu. Neuroregeneration and Stem Cell Programs Institute for Cell Engineering Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Department of Neurology Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Department of Neurology Nanjing Brain Hospital Nanjing Jiangsu 210029 PR China. Medical College Yangzhou University Yangzhou Jiangsu 225001 PR China. Department of Pharmacology College of Medicine Dong-A University 32 Daesin Gongwwon-ro Seo-gu Busan 49201 Republic of Korea. Adrienne Helis Malvin Medical Research Foundation New Orleans LA 70130-2685 USA. Department of Anesthesiology West China Hospital Sichuan University. The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences West China Hospital Sichuan University Chengdu Sichuan 610041 PR China. Interdisciplinary Research Center on Biology and Chemistry Shanghai Institute of Organic Chemistry Chinese Academy of Sciences 26 Qiuyue Road Shanghai 201210 China. University of the Chinese Academy of Sciences 19 A Yuquan Road Shijingshan District Beijing 100049 China. Institute for NanoBioTechnology Johns Hopkins University Baltimore MD 21218 USA. Department of Materials Science and Engineering Whiting School of Engineering Johns Hopkins University Baltimore MD 21218 USA. Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA 02139 USA. Picower Institute for Learning and Memory Cambridge MA 02139 USA. Harvard-MIT MD/PhD Program Harvard Medical School Boston MA 02115 USA. Department of Biological Science and Biotechnology Chungbuk Nati

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