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Reserpine-Induced Progressive Parkinsonism in Mice Predisposed and Non-Predisposed to Depressive-Like Behavior

Journal of Behavioral and Brain Science 2021年第11期11卷 267-279页

作者： Manuela B. L. Soares Leonardo B. Lopes-Silva Marcela Becegato Vinicius S. Bioni Alvaro C. Lima Gabriela M. Ferreira Ywlliane Meurer Regina H. Silva Behavioral Neuroscience Laboratory Department of Pharmacology Federal University of S&atilde o Paulo S&atilde o Paulo Brazil Memory and Cognition Studies Laboratory Post-Graduate Program of Cognitive Neuroscience and Behavior Department of Psychology Federal University of Paraíba Jo&atilde o Pessoa Brazil

Parkinson’s disease (PD) is a progressive degenerative condition that mainly affects the elderly. The disease comprises motor symptoms such as tremors at rest, loss of voluntary movement, decreased muscle strength, propensity to lean forward and acceleration of the walking pace. These signs are related to the degeneration of the nigrostriatal dopaminergic pathway. Patients also have non-motor symptoms, among which sleep alterations, cognitive deficits, fatigue, pain and depression stand out. Although depression has been described as the most prevalent non-motor symptom, it is not clear whether this mood disorder is due to PD or patients would already have a greater predisposition. The present study evaluated the relationship between the predisposition to depressive-like behavior and the development of motor alterations in a progressive pharmacological model of PD in mice. Mice were classified into groups of depressive-like propensities and submitted to the pharmacological model. Reserpine was administrated at 0.1 mg/kg on alternate days for 40 days. The catalepsy and oral movement tests were used to evaluate motor alterations, the sucrose preference test was used to evaluate anhedonia, and the open field test was applied to evaluate general activity. Reserpine promoted parkinsonian motor impairments, and there were no differences between animals from different depressive-like behavior profiles. Thus, it was not possible to find a relationship between parkinsonism and the propensity to depression based on the basal sucrose preference test. More studies with other evaluations of depressive-like behavior are needed to confirm the results found in our study.

关键词： Parkinson’s Disease Depression Reserpine Mice

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Non-Invasive Neuromodulation of Adult ADHD: Investigation of the Effects of an Individualized Theta tACS Protocol

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Brain Stimulation 2025年第1期18卷 556-556页

作者： Senturk, Hansa Akturk, Tuba Hanoglu, Lutfu Department of Neuroscience Graduate School of Health Sciences Istanbul Medipol University Turkey Program of Electroneurophysiology Istanbul Medipol University Turkey Research Institute for Health Sciences and Technologies (SABITA) Istanbul Medipol University Turkey Section Brain Stimulation and Cognition Department of Cognitive Neuroscience Faculty of Psychology and Neuroscience Maastricht University The Netherlands Department of Neurology School of Medicine Istanbul Medipol University Turkey

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Photonic smart bandage for wound healing assessment

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Photonics Research 2021年第3期9卷 272-280页

作者： Arnaldo Leal-Junior Jingjing Guo Rui Min Antonio Jose Fernandes Anselmo Frizera Carlos Marques Telecommunications Laboratory(LABTEL) Graduate Program in Electrical EngineeringFederal University of Espi’rito SantoVitoria-ES 29075-910Brazil School of Instrumentation and Optoelectronic Engineering Beihang UniversityBeijing 100191China Center for Cognition and Neuroergonomics State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityZhuhai 519087China Physics Department&I3N Universidade de AveiroCampus Universitario de SantiagoAveiro 3810-193Portugal

Chronic wounds affect around 2% of the world population with an annual multi-billion dollar cost to the healthcare system. This background pushes the development of new therapies and procedures for wound healing and its assessment. Among them, the potential of hydrogen(pH) assessment is an important indicator of the wound healing stage and condition. This paper presents the development of the first optical fiber-embedded smart wound dressing for pH assessment. An intrinsically pH-sensitive optical fiber is fabricated using a polydimethylsiloxane(PDMS) precursor doped with rhodamine B dye. Raman and Fourier transform infrared(FTIR) spectroscopies are performed in order to verify the presence of rhodamine B and PDMS in the fiber samples. Then, the fiber is embedded in gauze fabric and hydrocolloid wound dressing. In addition, such low Young’s modulus of PDMS fiber enables its use as a highly sensitive pressure sensor, where the results show that the fiber-embedded bandage can measure pressures as low as 0.1 kPa with a high linearity in the range of 0 to 0.3 kPa. The smart bandage is subjected to different pH, which resulted in a wavelength shift of 0.67 nm/pH when the absorption peak at 515 nm was analyzed. Furthermore, pH increase leads to linear decrease of the transmitted optical power(R2 of 0.998), with rise and fall times below 20 s and 30 s, respectively. Therefore, the proposed optical fiber-embedded smart bandage enables the simultaneous assessment of pressure and pH on the wound region.

关键词： fiber smart healing

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Smart photonic wristband for pulse wave monitoring

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Opto-Electronic Science 2024年第12期3卷 12-27页

作者： Renfei Kuang Zhuo Wang Lin Ma Heng Wang Qingming Chen Arnaldo Leal Junior Santosh Kumar Xiaoli Li Carlos Marques Rui Min Center for Cognition and Neuroergonomics State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityZhuhai 519087China College of Science Shenyang Aerospace UniversityShenyang 110136China School of Microelectronics Science and Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and SystemsSun Yat-Sen UniversityZhuhai 519082China Graduate Program in Electrical Engineering Federal University of Espírito SantoFernando Ferrari AvenueVitoria 29075-910Brazil Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAndhra Pradesh 522302India CICECO-Aveiro Institute of Materials Physics DepartmentUniversity of AveiroAveiro 3810-193Portugal

Real-time acquisition of human pulse signals in daily life is clinically important for cardiovascular disease monitoring and ***,we propose a smart photonic wristband for pulse signal monitoring based on speckle pattern analysis with a polymer optical fiber(POF)integrated into a sports *** different speckle pattern processing algorithms and POFs with different core diameters were *** results indicated that the smart photonic wristband had a high signal-to-noise ratio and low latency,with the measurement error controlled at approximately 3.7%.This optimized pulse signal could be used for further medical diagnosis and was capable of objectively monitoring subtle pulse signal changes,such as the pulse waveform at different positions of Cunkou and pulse waveforms before and after *** the assistance of artificial intelligence(AI),functions such as gesture recognition have been realized through the established prediction model by processing pulse signals,in which the recognition accuracy reaches 95%.Our AI-assisted smart photonic wristband has potential applications for clinical treatment of cardiovascular diseases and home monitoring,paving the way for medical Internet of Things-enabled smart systems.

关键词： smart healthcare specklegram pulse monitoring gesture recognition artificial intelligence wearable sensor

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Motor cortex repetitive transcranial magnetic stimulation in fibromyalgia: a multicentre randomised controlled trial

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British Journal of Anaesthesia 2025年第6期134卷 1756-1764页

作者： Silva, Valquíria A. Baptista, Abrahão F. Fonseca, Alessandra S. Carneiro, Adriana M. Brunoni, André R. Carrilho, Paulo.E.M. Lins, Catarina C. Kubota, Gabriel T. Fernandes, Ana Mércia B.L. Lapa, Jorge.D.S. dos Santos, Lucas M. Sasso, Ivo Monte-Silva, Katia Poindessous-Jazat, Frédérique Mori, Nobuhiko Miki, Kenji Baltar, Adriana Tanaka, Clarice Teixeira, Manoel J. Hosomi, Koichi Bouhassira, Didier Attal, Nadine Ciampi de Andrade, Daniel LIM 62 - Pain Center Department of Neurology São Paulo Brazil Service of Interdisciplinary Neuromodulation (SIN) Department and Institute of Psychiatry São Paulo Brazil Medical-Surgical Nursing Department University of São Paulo São Paulo Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Paulo Brazil Mood Disorder Program (Pro-GRUDA) Department of Psychiatry University of São Paulo São Paulo Brazil Medicine School “Professor Orival Alves” State University of Western Paraná (UNIOESTE) Paraná Brazil Neurosurgery Unit Hospital de Cirurgia Sergipe Aracaju Brazil Department of Medicine Federal University of Sergipe Sergipe São Cristóvão Brazil LIM 54 - Physiotherapy Research Laboratory University of São Paulo São Paulo Brazil Applied Neuroscience Laboratory Universidade Federal de Pernambuco Cidade Universitária Pernambuco Brazil UVSQ-Paris-Saclay University Ambroise Paré Hospital Boulogne-Billancourt U987 France Department of Neurosurgery Osaka University Graduate School of Medicine Osaka Japan Faculty of Health Science Osaka Yukioka College of Health Science Osaka Japan Center for Pain Management Hayaishi Hospital Osaka Japan Center for Neuroplasticity and Pain (CNAP) Department of Health Science and Technology University of Aalborg Gistrup Denmark

Background: Despite affecting 2–4% of the population worldwide, fibromyalgia often remains refractory to treatment. Here we report the first international randomised double-blind, sham-controlled trial developed to assess the efficacy of repetitive transcranial magnetic stimulation (rTMS) as an add-on therapy for fibromyalgia. Methods: Women aged ≥18 yr with fibromyalgia refractory to best available treatment were enrolled in Brazil, France, and Japan, and randomised to 10 Hz motor cortex (M1) rTMS, 3000 pulses day⁻¹, or sham stimulation. This included 10 induction sessions over 2 weeks, followed by weekly maintenance (6 weeks), and fortnightly extended maintenance (8 weeks). Primary outcome was ≥50% pain reduction at week 8 compared with baseline. Secondary outcomes included pain interference, mood, global impression of change, and Fibromyalgia Impact Questionnaire (FIQ) scores at weeks 8 and 16. Results: We randomised 101 women (mean age 48 [range 25-83] yr) into active (n=52) or sham (n=49) arms. Bayesian analysis revealed a 99.4% probability of ≥50% pain reduction at week 8 in the active group vs sham (odds ratio [OR] 3.04;95% credible interval [95% CrI] 1.26–8.06), with a number needed to treat of 4.54. Frequentist analysis confirmed that relative pain reduction was higher in the active than in the sham group (40.4% vs 18.4%, P=0.028). At week 16, this probability reduced to 34.2% (OR 0.815;95% CrI 0.313–2.1), but the likelihood of FIQ score reduction was 79.1%. The intervention appeared safe. Conclusions: Add-on M1-repetitive transcranial magnetic stimulation reduced pain intensity up to 8 weeks in women with fibromyalgia. Although analgesic effects waned, functional improvements remained during extended maintenance at week 16. © 2025 The Authors

关键词： chronic pain clinical trial fibromyalgia neuromodulation transcranial magnetic stimulation

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INVOLVEMENT OF MEDIAL PREFRONTAL CORTEX CANONICAL WNT/Β-CATENIN AND NON-CANONICAL WNT/CA2+ SIGNALING PATHWAYS IN CONTEXTUAL FEAR MEMORY IN MALE RATS

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IBRO neuroscience Reports 2023年 15卷 S842-S842页

作者： Rodrigo Narvaes Eduarda Nachtigall Lucas Aschidamini Marcondes Jociane Myskiw Cristiane Furini Pontifical Catholic University of Rio Grande do Sul Laboratory Of Cognition And Memory Neurobiology - Brain Institute Porto Alegre Brazil Federal University of Rio Grande do Sul Graduate Program In Neuroscience Porto Alegre Brazil Federal University of Rio Grande do Sul Psychobiology And Neurocomputation Laboratory Porto Alegre Brazil

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Visual representations in the human brain are aligned with large language models

arXiv

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arXiv 2022年

作者： Doerig, Adrien Kietzmann, Tim C. Allen, Emily Wu, Yihan Naselaris, Thomas Kay, Kendrick Charest, Ian Institute of Cognitive Science University of Osnabrück Germany Donders Institute for Brain Cognition & Behaviour Nijmegen Netherlands Department of Radiology University of Minnesota MinneapolisMN United States Department of Psychology University of Minnesota MinneapolisMN United States Graduate Program in Cognitive Science University of Minnesota MinneapolisMN United States Department of Neuroscience University of Minnesota MinneapolisMN United States cerebrUM Département de Psychologie Université de Montréal Montréal Canada Center for Human Brain Health School of Psychology University of Birmingham Birmingham United Kingdom

The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative approach for studying this information remains elusive. Here, we test whether the contextual information encoded in large language models (LLMs) is beneficial for modelling the complex visual information extracted by the brain from natural scenes. We show that LLM embeddings of scene captions successfully characterise brain activity evoked by viewing the natural scenes. This mapping captures selectivities of different brain areas, and is sufficiently robust that accurate scene captions can be reconstructed from brain activity. Using carefully controlled model comparisons, we then proceed to show that the accuracy with which LLM representations match brain representations derives from the ability of LLMs to integrate complex information contained in scene captions beyond that conveyed by individual words. Finally, we train deep neural network models to transform image inputs into LLM representations. Remarkably, these networks learn representations that are better aligned with brain representations than a large number of state-of-the-art alternative models, despite being trained on orders-of-magnitude less data. Overall, our results suggest that LLM embeddings of scene captions provide a representational format that accounts for complex information extracted by the brain from visual inputs. Copyright © 2022, The Authors. All rights reserved.

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APOEΕ4 associates with microglial activation independently of Aβ plaques and tau tangles

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Science Advances 2023年第14期9卷 eade1474页

作者： Ferrari-Souza, João Pedro Lussier, Firoza Z. Leffa, Douglas T. Therriault, Joseph Tissot, Cécile Bellaver, Bruna Ferreira, Pâmela C.L. Malpetti, Maura Wang, Yi-Ting Povala, Guilherme Benedet, Andréa L. Ashton, Nicholas J. Chamoun, Mira Servaes, Stijn Bezgin, Gleb Kang, Min Su Stevenson, Jenna Rahmouni, Nesrine Pallen, Vanessa Poltronetti, Nina Margherita O’Brien, John T. Rowe, James B. Cohen, Ann D. Lopez, Oscar L. Tudorascu, Dana L. Karikari, Thomas K. Klunk, William E. Villemagne, Victor L. Soucy, Jean-Paul Gauthier, Serge Souza, Diogo O. Zetterberg, Henrik Blennow, Kaj Zimmer, Eduardo R. Rosa-Neto, Pedro Pascoal, Tharick A. Department of Psychiatry University of Pittsburgh PittsburghPA United States Graduate Program in Biological Sciences: Biochemistry Universidade Federal do Rio Grande do Sul RS Porto Alegre Brazil de l'Ouest-de-l'Île-de-Montréal Department of Neurology and Neurosurgery Psychiatry and Pharmacology and Therapeutics McGill University MontrealQC Canada ADHD Outpatient Program and Development Psychiatry Program Hospital de Clínicas de Porto Alegre RS Porto Alegre Brazil Department of Clinical Neurosciences Cambridge University Hospitals NHS Trust University of Cambridge Cambridge United Kingdom Department of Psychiatry and Neurochemistry Sahlgrenska Academy the University of Gothenburg Mölndal Sweden Centre for Age-Related Medicine Stavanger University Hospital Stavanger Norway Department of Old Age Psychiatry Institute of Psychiatry Psychology and Neuroscience King’s College London London United Kingdom Montreal Neurological Institute McGill University MontrealQC Canada Artificial Intelligence and Computational Neurosciences lab Sunnybrook Research Institute University of Toronto TorontoON Canada LC Campbell Cognitive Neurology Unit Hurvitz Brain Sciences Program Sunnybrook Research Institute University of Toronto TorontoON Canada Department of Psychiatry University of Cambridge Cambridge United Kingdom MRC Cognition and Brain Sciences Unit University of Cambridge Cambridge United Kingdom Department of Neurology University of Pittsburgh PittsburghPA United States Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Gothenburg Sweden Department of Neurodegenerative Disease UCL Queen Square Institute of Neurology London United Kingdom UK Dementia Research Institute at UCL London United Kingdom Hong Kong Center for Neurodegenerative Diseases Hong Kong Department of Pharmacology Universidade Federal do Rio Grande do Sul RS Porto Alegre Brazil Graduate Program in Biological Sciences: Pharmacology and Therapeuctis Universidade Federal do

Animal studies suggest that the apolipoprotein E Ε4 (APOEΕ4) allele is a culprit of early microglial activation in Alzheimer’s disease (AD). Here, we tested the association between APOEΕ4 status and microglial activation in living individuals across the aging and AD spectrum. We studied 118 individuals with positron emission tomography for amyloid-β (Aβ;[18F]AZD4694), tau ([18F]MK6240), and microglial activation ([11C]PBR28). We found that APOEΕ4 carriers presented increased microglial activation relative to noncarriers in early Braak stage regions within the medial temporal cortex accounting for Aβ and tau deposition. Furthermore, microglial activation mediated the Aβ-independent effects of APOEΕ4 on tau accumulation, which was further associated with neurodegeneration and clinical impairment. The physiological distribution of APOE mRNA expression predicted the patterns of APOEΕ4-related microglial activation in our population, suggesting that APOE gene expression may regulate the local vulnerability to neuroinflammation. Our results support that the APOEΕ4 genotype exerts Aβ-independent effects on AD pathogenesis by activating microglia in brain regions associated with early tau deposition. Copyright © 2023 The Authors, some rights reserved;exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

关键词： Gene expression

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A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

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NATURE neuroscience 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

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Author Correction: Neurocognitive correlates of semantic memory navigation in Parkinson's disease

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NPJ Parkinson's disease 2024年第1期10卷 30页

作者： Felipe Diego Toro-Hernández Joaquín Migeot Nicolás Marchant Daniela Olivares Franco Ferrante Raúl González-Gómez Cecilia González Campo Sol Fittipaldi Gonzalo M Rojas-Costa Sebastian Moguilner Andrea Slachevsky Pedro Chaná Cuevas Agustín Ibáñez Sergio Chaigneau Adolfo M García Graduate Program in Neuroscience and Cognition Federal University of ABC São Paulo Brazil. Center for Social and Cognitive Neuroscience School of Psychology Universidad Adolfo Ibáñez Santiago Chile. Latin American Brain Health Institute Universidad Adolfo Ibáñez Santiago Chile. Laboratorio de Neuropsicología y Neurociencias Clínicas Universidad de Chile Santiago Chile. Cognitive Neuroscience Center Universidad de San Andrés Buenos Aires Argentina. National Scientific and Technical Research Council Buenos Aires Argentina. Facultad de Ingeniería Universidad de Buenos Aires Buenos Aires Argentina. Global Brain Health Institute University of California San Francisco California USA & Trinity College Dublin Ireland. Department of Radiology Clínica las Condes Santiago Chile. Advanced Epilepsy Center Clínica las Condes Santiago Chile. Join Unit FISABIO-CIPF Valencia Spain. School of Medicine Finis Terrae University Santiago Chile. Health Innovation Center Clínica Las Condes Santiago Chile. Memory and Neuropsychiatric Center (CMYN) Neurology Department Hospital del Salvador & Faculty of Medicine University of Chile Santiago Chile. Geroscience Center for Brain Health and Metabolism (GERO) Santiago Chile. Neuropsychology and Clinical Neuroscience Laboratory (LANNEC) Physiopatology Program - Institute of Biomedical Sciences (ICBM) Neuroscience and East Neuroscience Departments Faculty of Medicine University of Chile Santiago Chile. Neurology and Psychiatry Department Clínica Alemana-Universidad Desarrollo Santiago Chile. Facultad de Ciencias Médicas Universidad de Santiago de Chile Santiago Chile. Center for Cognition Research School of Psychology Universidad Adolfo Ibáñez Santiago Chile. Latin American Brain Health Institute Universidad Adolfo Ibáñez Santiago Chile. adolfo.garcia@***. Cognitive Neuroscience Center Universidad de San Andrés Buenos Aires Argentina. adolfo.garcia@***. & Trinity College Dublin Ireland. adolfo.garcia@gbhi.org. Departamento d

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