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Santamaria-Garcia H, Corley M, Ibañez A. Editorial: Sociobiological interactions in brain health: from disparities to social epigenomics. Front Aging Neurosci 2024; 16:1407486. [PMID: 38655432 PMCID: PMC11036412 DOI: 10.3389/fnagi.2024.1407486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/26/2024] Open
Affiliation(s)
- Hernando Santamaria-Garcia
- PhD Program of Neuroscience, Pontificia Universidad Javeriana, Bogotá, Colombia
- Center for Memory and Cognition, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Michael Corley
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, United States
| | - Agustin Ibañez
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- Trinity College Dublin, Dublin, Ireland
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2
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Coronel-Oliveros C, Gómez RG, Ranasinghe K, Sainz-Ballesteros A, Legaz A, Fittipaldi S, Cruzat J, Herzog R, Yener G, Parra M, Aguillon D, Lopera F, Santamaria-Garcia H, Moguilner S, Medel V, Orio P, Whelan R, Tagliazucchi E, Prado P, Ibañez A. Viscous dynamics associated with hypoexcitation and structural disintegration in neurodegeneration via generative whole-brain modeling. Alzheimers Dement 2024. [PMID: 38501336 DOI: 10.1002/alz.13788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 02/08/2024] [Accepted: 02/15/2024] [Indexed: 03/20/2024]
Abstract
INTRODUCTION Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) lack mechanistic biophysical modeling in diverse, underrepresented populations. Electroencephalography (EEG) is a high temporal resolution, cost-effective technique for studying dementia globally, but lacks mechanistic models and produces non-replicable results. METHODS We developed a generative whole-brain model that combines EEG source-level metaconnectivity, anatomical priors, and a perturbational approach. This model was applied to Global South participants (AD, bvFTD, and healthy controls). RESULTS Metaconnectivity outperformed pairwise connectivity and revealed more viscous dynamics in patients, with altered metaconnectivity patterns associated with multimodal disease presentation. The biophysical model showed that connectome disintegration and hypoexcitability triggered altered metaconnectivity dynamics and identified critical regions for brain stimulation. We replicated the main results in a second subset of participants for validation with unharmonized, heterogeneous recording settings. DISCUSSION The results provide a novel agenda for developing mechanistic model-inspired characterization and therapies in clinical, translational, and computational neuroscience settings.
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Affiliation(s)
- Carlos Coronel-Oliveros
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSFA), San Francisco, California, USA
- Trinity College Dublin, Dublin, Ireland
- Centro Interdisciplinario de Neurociencia de Valparaíso (CINV), Universidad de Valparaíso, Valparaíso, Chile
| | - Raúl Gónzalez Gómez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Kamalini Ranasinghe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Agustín Sainz-Ballesteros
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
| | - Agustina Legaz
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Provincia de Buenos Aires, Victoria, Argentina
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSFA), San Francisco, California, USA
- Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Provincia de Buenos Aires, Victoria, Argentina
| | - Josephine Cruzat
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
| | - Rubén Herzog
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
| | - Gorsev Yener
- Izmir University of Economics, Faculty of Medicine, Fevzi Çakmak, Balçova/İzmir, Sakarya, Turkey
- Dokuz Eylül University, Brain Dynamics Multidisciplinary Research Center, Konak, Alsancak, Turkey
| | - Mario Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland
| | - David Aguillon
- Neuroscience Research Group, University of Antioquia, Bogotá, Colombia
| | - Francisco Lopera
- Neuroscience Research Group, University of Antioquia, Bogotá, Colombia
| | - Hernando Santamaria-Garcia
- Pontificia Universidad Javeriana, PhD Program of Neuroscience, Bogotá, Colombia
- Hospital Universitario San Ignacio, Center for Memory and Cognition Intellectus, Bogotá, Colombia
| | - Sebastián Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Provincia de Buenos Aires, Victoria, Argentina
| | - Vicente Medel
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
- Department of Neuroscience, Universidad de Chile, Independencia, Santiago, Chile
| | - Patricio Orio
- Trinity College Dublin, Dublin, Ireland
- Instituto de Neurociencia, Facultad de Ciencias, Universidad de Valparaíso, Playa Ancha, Valparaíso, Chile
| | - Robert Whelan
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSFA), San Francisco, California, USA
- Trinity College Dublin, Dublin, Ireland
| | - Enzo Tagliazucchi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Buenos Aires Physics Institute and Physics Department, University of Buenos Aires, Intendente Güiraldes 2160 - Ciudad Universitaria, Buenos Aires, Argentina
| | - Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Región Metropolitana, Santiago, Chile
| | - Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Peñalolén, Santiago, Chile
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSFA), San Francisco, California, USA
- Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Provincia de Buenos Aires, Victoria, Argentina
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
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3
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Fitri FI, Lage C, Mollayeva T, Santamaria-Garcia H, Chan M, Cominetti MR, Daria T, Fallon G, Gately D, Gichu M, Giménez S, Zuniga RG, Hadad R, Hill-Jarrett T, O’Kelly M, Martinez L, Modjaji P, Ngcobo N, Nowak R, Ogbuagu C, Roche M, Aguzzoli CS, Shin SY, Smith E, Yoseph SA, Zewde Y, Ayhan Y. Empathy as a crucial skill in disrupting disparities in global brain health. Front Neurol 2023; 14:1189143. [PMID: 38162446 PMCID: PMC10756064 DOI: 10.3389/fneur.2023.1189143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 09/26/2023] [Indexed: 01/03/2024] Open
Abstract
Brain health refers to the state of a person's brain function across various domains, including cognitive, behavioral and motor functions. Healthy brains are associated with better individual health, increased creativity, and enhanced productivity. A person's brain health is intricately connected to personal, social and environmental factors. Racial, ethnic, and social disparities affect brain health and on the global scale these disparities within and between regions present a hurdle to brain health. To overcome global disparities, greater collaboration between practitioners and healthcare providers and the people they serve is essential. This requires cultural humility driven by empathy. Empathy is a core prosocial value, a cognitive-emotional skill that helps us understand ourselves and others. This position paper aims to provide an overview of the vital roles of empathy, cooperation, and interdisciplinary partnerships. By consciously integrating this understanding in practice, leaders can better position themselves to address the diverse challenges faced by communities, promote inclusivity in policies and practices, and further more equitable solutions to the problem of global brain health.
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Affiliation(s)
- Fasihah Irfani Fitri
- Department of Neurology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
| | - Carmen Lage
- Department of Neurology, Marques de Valdecilla University Hospital - Valdecilla Research Institute (IDIVAL), Santander, Spain
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
| | - Tatyana Mollayeva
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
- Canada Research Chairs, Ottawa, ON, Canada
- The KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Acquired Brain Injury Research Lab, Department of Occupational Science and Occupational Therapy, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Hernando Santamaria-Garcia
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio Bogotá, Bogotá, Colombia
- Pontificia Universidad Javeriana (PhD Program in Neuroscience) Bogotá, Bogotá, Colombia
| | - Melissa Chan
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
- Department of Social Sciences, University of Luxembourg, Luxembourg, Luxembourg
| | - Marcia R. Cominetti
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
- Department of Gerontology, Federal University of São Carlos, São Carlos, Brazil
| | - Tselmen Daria
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Gladstone Institutes, San Francisco, CA, United States
| | - Gillian Fallon
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
| | - Dominic Gately
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
| | - Muthoni Gichu
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
- Division of Geriatric Medicine at the Ministry of Health, Nairobi, Kenya
| | - Sandra Giménez
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Multidisciplinary Sleep Unit, Memory Unit, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Raquel Gutierrez Zuniga
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
- Hospital Quirónsalud Valle del Henares, Madrid, Spain
| | - Rafi Hadad
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Rambam Health Care Campus, Haifa, Israel
| | - Tanisha Hill-Jarrett
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Memory and Aging Center, Medical Center, University of California, San Francisco, CA, United States
| | - Mick O’Kelly
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- National College of Art and Design, Dublin, Ireland
| | - Luis Martinez
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Memory and Aging Center, Medical Center, University of California, San Francisco, CA, United States
| | - Paul Modjaji
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
| | - Ntkozo Ngcobo
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
- Department of Psychiatry, University of KwaZulu-Natal, Durban, South Africa
| | - Rafal Nowak
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Neuroelectrics (Spain), Barcelona, Spain
| | - Chukwuanugo Ogbuagu
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Faculty of Basic Clinical Sciences, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Nigeria
| | - Moïse Roche
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, Dublin, Ireland
- Division of Psychiatry, UCL, London, United Kingdom
| | - Cristiano Schaffer Aguzzoli
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - So Young Shin
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- College of Nursing, Inje University, Busan, Republic of Korea
| | - Erin Smith
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Stanford University, Stanford, CA, United States
| | - Selam Aberra Yoseph
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Yared Zewde
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Yavuz Ayhan
- Senior Atlantic Fellow at the Global Brain Health Institute/Trinity College, UCSF, San Francisco, CA, United States
- Department of Psychiatry, Faculty of Medicine, Hacettepe University, Ankara, Türkiye
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Ogonowski N, Santamaria-Garcia H, Baez S, Lopez A, Laserna A, Garcia-Cifuentes E, Ayala-Ramirez P, Zarante I, Suarez-Obando F, Reyes P, Kauffman M, Cochran N, Schulte M, Sirkis DW, Spina S, Yokoyama JS, Miller BL, Kosik KS, Matallana D, Ibáñez A. Frontotemporal dementia presentation in patients with heterozygous p.H157Y variant of TREM2. J Med Genet 2023; 60:894-904. [PMID: 36813542 PMCID: PMC10447405 DOI: 10.1136/jmg-2022-108627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 02/06/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND The triggering receptor expressed on myeloid cell 2 (TREM2) is a major regulator of neuroinflammatory processes in neurodegeneration. To date, the p.H157Y variant of TREM2 has been reported only in patients with Alzheimer's disease. Here, we report three patients with frontotemporal dementia (FTD) from three unrelated families with heterozygous p.H157Y variant of TREM2: two patients from Colombian families (study 1) and a third Mexican origin case from the USA (study 2). METHODS To determine if the p.H157Y variant might be associated with a specific FTD presentation, we compared in each study the cases with age-matched, sex-matched and education-matched groups-a healthy control group (HC) and a group with FTD with neither TREM2 mutations nor family antecedents (Ng-FTD and Ng-FTD-MND). RESULTS The two Colombian cases presented with early behavioural changes, greater impairments in general cognition and executive function compared with both HC and Ng-FTD groups. These patients also exhibited brain atrophy in areas characteristic of FTD. Furthermore, TREM2 cases showed increased atrophy compared with Ng-FTD in frontal, temporal, parietal, precuneus, basal ganglia, parahippocampal/hippocampal and cerebellar regions. The Mexican case presented with FTD and motor neuron disease (MND), showing grey matter reduction in basal ganglia and thalamus, and extensive TDP-43 type B pathology. CONCLUSION In all TREM2 cases, multiple atrophy peaks overlapped with the maximum peaks of TREM2 gene expression in crucial brain regions including frontal, temporal, thalamic and basal ganglia areas. These results provide the first report of an FTD presentation potentially associated with the p.H157Y variant with exacerbated neurocognitive impairments.
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Affiliation(s)
- Natalia Ogonowski
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile, Santiago de Chile, Chile
| | - Hernando Santamaria-Garcia
- Global Brain Health Institute (GBHI), University California San Francisco (UCSF), San Francisco, California, USA
- Pontificia Universidad Javeriana. Ph.D Program of Neuroscience, Bogotá, Colombia
- Hospital Universitario San Ignacio. Centro de Memoria y Cognición Intellectus, Bogotá, Colombia
| | | | - Andrea Lopez
- Hospital Universitario de la Fundación Santa Fe de Bogotá, Bogota, Colombia
- Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Andrés Laserna
- Pontificia Universidad Javeriana, Bogota, Colombia
- University of Rochester Medical Center. Department of Anesthesiology and Perioperative Medicine. of Anesthesiology and Perioperative Medicine, Rochester, NY, New York, USA
| | - Elkin Garcia-Cifuentes
- Pontificia Universidad Javeriana, Bogota, Colombia
- Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Paola Ayala-Ramirez
- Human Genomics Institute, Pontificia Universidad Javeriana, Bogota, Colombia
| | | | | | - Pablo Reyes
- Pontificia Universidad Javeriana, Bogota, Colombia
| | - Marcelo Kauffman
- Hospital General de Agudos Jose Maria Ramos Mejia Consultorio y Laboratorio de Neurogenetica, Buenos Aires, Argentina
- Universidad Austral. IIMT-FCB. Conicet, Buenos Aires, Argentina
| | | | | | - Daniel W Sirkis
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Weil Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | - Salvatore Spina
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Jennifer S Yokoyama
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Weil Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | | | - Kenneth S Kosik
- University of California Santa Barbara, Santa Barbara, California, USA
| | - Diana Matallana
- Pontificia Universidad Javeriana, Bogota, Colombia
- Hospital Universitario Fundación Santa Fe, Bogotá, Colombia
| | - Agustín Ibáñez
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile, Santiago de Chile, Chile
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andres & CONICET, Buenos Aires, Argentina
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Santamaria-Garcia H, Sainz-Ballesteros A, Hernandez H, Moguilner S, Maito M, Ochoa-Rosales C, Corley M, Valcour V, Miranda JJ, Lawlor B, Ibanez A. Factors associated with healthy aging in Latin American populations. Nat Med 2023; 29:2248-2258. [PMID: 37563242 PMCID: PMC10504086 DOI: 10.1038/s41591-023-02495-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 07/11/2023] [Indexed: 08/12/2023]
Abstract
Latin American populations may present patterns of sociodemographic, ethnic and cultural diversity that can defy current universal models of healthy aging. The potential combination of risk factors that influence aging across populations in Latin American and Caribbean (LAC) countries is unknown. Compared to other regions where classical factors such as age and sex drive healthy aging, higher disparity-related factors and between-country variability could influence healthy aging in LAC countries. We investigated the combined impact of social determinants of health (SDH), lifestyle factors, cardiometabolic factors, mental health symptoms and demographics (age, sex) on healthy aging (cognition and functional ability) across LAC countries with different levels of socioeconomic development using cross-sectional and longitudinal machine learning models (n = 44,394 participants). Risk factors associated with social and health disparities, including SDH (β > 0.3), mental health (β > 0.6) and cardiometabolic risks (β > 0.22), significantly influenced healthy aging more than age and sex (with null or smaller effects: β < 0.2). These heterogeneous patterns were more pronounced in low-income to middle-income LAC countries compared to high-income LAC countries (cross-sectional comparisons), and in an upper-income to middle-income LAC country, Costa Rica, compared to China, a non-upper-income to middle-income LAC country (longitudinal comparisons). These inequity-associated and region-specific patterns inform national risk assessments of healthy aging in LAC countries and regionally tailored public health interventions.
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Affiliation(s)
- Hernando Santamaria-Garcia
- Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio Bogotá, San Ignacio, Colombia.
- Pontificia Universidad Javeriana (PhD Program in Neuroscience) Bogotá, San Ignacio, Colombia.
| | | | - Hernán Hernandez
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Faculty of Engineering, University of Concepción, Concepción, Chile
| | - Sebastian Moguilner
- Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés and Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Marcelo Maito
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Carolina Ochoa-Rosales
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Michael Corley
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, USA
| | - Victor Valcour
- Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University California San Francisco, San Francisco, CA, USA
| | - J Jaime Miranda
- Centro de Excelencia en Enfermedades Crónicas, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Brian Lawlor
- Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA
- Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Agustin Ibanez
- Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
- Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile.
- Cognitive Neuroscience Center, Universidad de San Andrés and Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
- Trinity College Dublin, The University of Dublin, Dublin, Ireland.
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Santamaria-Garcia H, Moguilner S, Rodriguez-Villagra OA, Botero-Rodriguez F, Pina-Escudero SD, O'Donovan G, Albala C, Matallana D, Schulte M, Slachevsky A, Yokoyama JS, Possin K, Ndhlovu LC, Al-Rousan T, Corley MJ, Kosik KS, Muniz-Terrera G, Miranda JJ, Ibanez A. The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations. GeroScience 2023; 45:2405-2423. [PMID: 36849677 PMCID: PMC10651610 DOI: 10.1007/s11357-023-00755-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 02/14/2023] [Indexed: 03/01/2023] Open
Abstract
Global initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (N = 23,694; M = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs.
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Affiliation(s)
- Hernando Santamaria-Garcia
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA.
- Pontificia Universidad Javeriana (Ph.D. Program in Neuroscience, Department of Psychiatry), Bogotá, Colombia.
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia.
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, and CONICET, Buenos Aires, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Felipe Botero-Rodriguez
- Pontificia Universidad Javeriana (Ph.D. Program in Neuroscience, Department of Psychiatry), Bogotá, Colombia
| | - Stefanie Danielle Pina-Escudero
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Gary O'Donovan
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile
- Facultad de Medicina, Universidad de los Andes, Bogotá, Colombia
| | - Cecilia Albala
- Instituto de Nutrición Y Tecnología de los Alimentos, Universidad de Chile, Avenida El Líbano 5524, Macul, Santiago, Chile
| | - Diana Matallana
- Pontificia Universidad Javeriana (Ph.D. Program in Neuroscience, Department of Psychiatry), Bogotá, Colombia
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Mental Health Department, Hospital Universitario Fundación Santa Fe de Bogotá, Memory Clinic, Bogotá, Colombia
| | - Michael Schulte
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile
| | - Andrea Slachevsky
- 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
| | - Jennifer S Yokoyama
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Katherine Possin
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lishomwa C Ndhlovu
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, USA
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Tala Al-Rousan
- Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Michael J Corley
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, USA
| | - Kenneth S Kosik
- Neuroscience Research Institute. Department of Molecular Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention, University of Edinburgh, Edinburgh, UK
- Department of Primary Care, Ohio University, Athens, USA
| | - J Jaime Miranda
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- The George Institute for Global Health, UNSW, Sydney, Australia
| | - Agustin Ibanez
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA.
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile.
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, and CONICET, Buenos Aires, Argentina.
- Trinity College Dublin (TCD), Dublin, Ireland.
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7
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Fittipaldi S, Legaz A, Maito M, Hernandez H, Altschuler F, Canziani V, Moguilner S, Gillan C, Castillo J, Lillo P, Custodio N, Avila-Funes J, Cardona J, Slachevsky A, Henriquez F, Fraile-Vazquez M, de Souza LC, Borroni B, Hornberger M, Lopera F, Santamaria-Garcia H, Matallana D, Reyes P, Gonzalez-Campo C, Bertoux M, Ibanez A. Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases. Res Sq 2023:rs.3.rs-3007086. [PMID: 37333384 PMCID: PMC10274952 DOI: 10.21203/rs.3.rs-3007086/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Aging may diminish social cognition, which is crucial for interaction with others, and significant changes in this capacity can indicate pathological processes like dementia. However, the extent to which non-specific factors explain variability in social cognition performance, especially among older adults and in global settings, remains unknown. A computational approach assessed combined heterogeneous contributors to social cognition in a diverse sample of 1063 older adults from 9 countries. Support vector regressions predicted the performance in emotion recognition, mentalizing, and a total social cognition score from a combination of disparate factors, including clinical diagnosis (healthy controls, subjective cognitive complaints, mild cognitive impairment, Alzheimer's disease, behavioral variant frontotemporal dementia), demographics (sex, age, education, and country income as a proxy of socioeconomic status), cognition (cognitive and executive functions), structural brain reserve, and in-scanner motion artifacts. Cognitive and executive functions and educational level consistently emerged among the top predictors of social cognition across models. Such non-specific factors showed more substantial influence than diagnosis (dementia or cognitive decline) and brain reserve. Notably, age did not make a significant contribution when considering all predictors. While fMRI brain networks did not show predictive value, head movements significantly contributed to emotion recognition. Models explained between 28-44% of the variance in social cognition performance. Results challenge traditional interpretations of age-related decline, patient-control differences, and brain signatures of social cognition, emphasizing the role of heterogeneous factors. Findings advance our understanding of social cognition in brain health and disease, with implications for predictive models, assessments, and interventions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - José Avila-Funes
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán
| | | | | | | | | | | | | | | | | | | | | | - Pablo Reyes
- Latin American Brain Health Institute (BrainLat)
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8
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Prado P, Moguilner S, Mejía JA, Sainz-Ballesteros A, Otero M, Birba A, Santamaria-Garcia H, Legaz A, Fittipaldi S, Cruzat J, Tagliazucchi E, Parra M, Herzog R, Ibáñez A. Source space connectomics of neurodegeneration: One-metric approach does not fit all. Neurobiol Dis 2023; 179:106047. [PMID: 36841423 DOI: 10.1016/j.nbd.2023.106047] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 02/05/2023] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Brain functional connectivity in dementia has been assessed with dissimilar EEG connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In this scenario, joint analyses integrating information from different metrics may allow for a more comprehensive characterization of brain functional interactions in different dementia subtypes. To test this hypothesis, resting-state electroencephalogram (rsEEG) was recorded in individuals with Alzheimer's Disease (AD), behavioral variant frontotemporal dementia (bvFTD), and healthy controls (HCs). Whole-brain functional connectivity was estimated in the EEG source space using 101 different types of functional connectivity, capturing linear and nonlinear interactions in both time and frequency-domains. Multivariate machine learning and progressive feature elimination was run to discriminate AD from HCs, and bvFTD from HCs, based on joint analyses of i) EEG frequency bands, ii) complementary frequency-domain metrics (e.g., instantaneous, lagged, and total connectivity), and iii) time-domain metrics with different linearity assumption (e.g., Pearson correlation coefficient and mutual information). <10% of all possible connections were responsible for the differences between patients and controls, and atypical connectivity was never captured by >1/4 of all possible connectivity measures. Joint analyses revealed patterns of hypoconnectivity (patientsHCs) in both groups was mainly identified in frontotemporal regions. These atypicalities were differently captured by frequency- and time-domain connectivity metrics, in a bandwidth-specific fashion. The multi-metric representation of source space whole-brain functional connectivity evidenced the inadequacy of single-metric approaches, and resulted in a valid alternative for the selection problem in EEG connectivity. These joint analyses reveal patterns of brain functional interdependence that are overlooked with single metrics approaches, contributing to a more reliable and interpretable description of atypical functional connectivity in neurodegeneration.
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Affiliation(s)
- Pavel Prado
- 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
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Jhony A Mejía
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Departamento de Ingeniería Biomédica, Universidad de Los Andes, Bogotá, Colombia
| | | | - Mónica Otero
- Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Santiago, Chile; Centro BASAL Ciencia & Vida, Universidad San Sebastián, Santiago, Chile
| | - Agustina Birba
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Hernando Santamaria-Garcia
- 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, California; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Agustina Legaz
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Josephine Cruzat
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Enzo Tagliazucchi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA -CONICET), Buenos Aires, Argentina
| | - Mario Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Rubén Herzog
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Fundación para el Estudio de la Conciencia Humana (EcoH), Chile
| | - Agustín Ibáñez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina; PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia; Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia; Trinity College Dublin (TCD), Dublin, Ireland.
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9
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Herzog R, Rosas FE, Whelan R, Fittipaldi S, Santamaria-Garcia H, Cruzat J, Birba A, Moguilner S, Tagliazucchi E, Prado P, Ibanez A. Genuine high-order interactions in brain networks and neurodegeneration. Neurobiol Dis 2022; 175:105918. [DOI: 10.1016/j.nbd.2022.105918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 10/18/2022] [Accepted: 11/03/2022] [Indexed: 11/13/2022] Open
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10
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Quesque F, Coutrot A, Cox S, de Souza LC, Baez S, Cardona JF, Mulet-Perreault H, Flanagan E, Neely-Prado A, Clarens MF, Cassimiro L, Musa G, Kemp J, Botzung A, Philippi N, Cosseddu M, Trujillo-Llano C, Grisales-Cardenas JS, Fittipaldi S, Magrath Guimet N, Calandri IL, Crivelli L, Sedeno L, Garcia AM, Moreno F, Indakoetxea B, Benussi A, Brandão Moura MV, Santamaria-Garcia H, Matallana D, Pryanishnikova G, Morozova A, Iakovleva O, Veryugina N, Levin O, Zhao L, Liang J, Duning T, Lebouvier T, Pasquier F, Huepe D, Barandiaran M, Johnen A, Lyashenko E, Allegri RF, Borroni B, Blanc F, Wang F, Yassuda MS, Lillo P, Teixeira AL, Caramelli P, Hudon C, Slachevsky A, Ibáñez A, Hornberger M, Bertoux M. Does culture shape our understanding of others' thoughts and emotions? An investigation across 12 countries. Neuropsychology 2022; 36:664-682. [PMID: 35834208 DOI: 10.1037/neu0000817] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Measures of social cognition have now become central in neuropsychology, being essential for early and differential diagnoses, follow-up, and rehabilitation in a wide range of conditions. With the scientific world becoming increasingly interconnected, international neuropsychological and medical collaborations are burgeoning to tackle the global challenges that are mental health conditions. These initiatives commonly merge data across a diversity of populations and countries, while ignoring their specificity. OBJECTIVE In this context, we aimed to estimate the influence of participants' nationality on social cognition evaluation. This issue is of particular importance as most cognitive tasks are developed in highly specific contexts, not representative of that encountered by the world's population. METHOD Through a large international study across 18 sites, neuropsychologists assessed core aspects of social cognition in 587 participants from 12 countries using traditional and widely used tasks. RESULTS Age, gender, and education were found to impact measures of mentalizing and emotion recognition. After controlling for these factors, differences between countries accounted for more than 20% of the variance on both measures. Importantly, it was possible to isolate participants' nationality from potential translation issues, which classically constitute a major limitation. CONCLUSIONS Overall, these findings highlight the need for important methodological shifts to better represent social cognition in both fundamental research and clinical practice, especially within emerging international networks and consortia. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | | | - Sharon Cox
- Department of Behavioural Science and Health
| | | | | | | | | | | | | | | | | | | | | | - Anne Botzung
- Centre Memoire de Ressources et Recherche (CMRR)
| | | | | | | | | | | | | | | | | | - Lucas Sedeno
- National Scientific and Technical Research Council (CONICET)
| | | | | | | | | | | | | | | | | | - Anna Morozova
- Central Clinic No 1 of the Ministry of Internal Affairs
| | - Olga Iakovleva
- Russian Medical Academy of Continuous Professional Education
| | | | - Oleg Levin
- Russian Medical Academy of Continuous Professional Education
| | - Lina Zhao
- Innovation Center for Neurological Disorders
| | | | | | | | | | - David Huepe
- Center for Social and Cognitive Neuroscience
| | | | | | - Elena Lyashenko
- Russian Medical Academy of Continuous Professional Education
| | | | | | | | - Fen Wang
- Innovation Center for Neurological Disorders
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11
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Abrevaya S, Fittipaldi S, García AM, Dottori M, Santamaria-Garcia H, Birba A, Yoris A, Hildebrandt MK, Salamone P, De la Fuente A, Alarco-Martí S, García-Cordero I, Matorrel-Caro M, Pautassi RM, Serrano C, Sedeño L, Ibáñez A. At the Heart of Neurological Dimensionality: Cross-Nosological and Multimodal Cardiac Interoceptive Deficits. Psychosom Med 2021; 82:850-861. [PMID: 33003072 PMCID: PMC7647435 DOI: 10.1097/psy.0000000000000868] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 08/10/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Neurological nosology, based on categorical systems, has largely ignored dimensional aspects of neurocognitive impairments. Transdiagnostic dimensional approaches of interoception (the sensing of visceral signals) may improve the descriptions of cross-pathological symptoms at behavioral, electrophysiological, and anatomical levels. Alterations of cardiac interoception (encompassing multidimensional variables such as accuracy, learning, sensibility, and awareness) and its neural correlates (electrophysiological markers, imaging-based anatomical and functional connectivity) have been proposed as critical across disparate neurological disorders. However, no study has examined the specific impact of neural (relative to autonomic) disturbances of cardiac interoception or their differential manifestations across neurological conditions. METHODS Here, we used a computational approach to classify and evaluate which markers of cardiac interoception (behavioral, metacognitive, electrophysiological, volumetric, or functional) offer the best discrimination between neurological conditions and cardiac (hypertensive) disease (model 1), and among neurological conditions (Alzheimer's disease, frontotemporal dementia, multiple sclerosis, and brain stroke; model 2). In total, the study comprised 52 neurological patients (mean [standard deviation] age = 55.1 [17.3] years; 37 women), 25 cardiac patients (age = 66.2 [9.1] years; 13 women), and 72 healthy controls (age = 52.65 [17.1] years; 50 women). RESULTS Cardiac interoceptive outcomes successfully classified between neurological and cardiac conditions (model 1: >80% accuracy) but not among neurological conditions (model 2: 53% accuracy). Behavioral cardiac interoceptive alterations, although present in all conditions, were powerful in differentiating between neurological and cardiac diseases. However, among neurological conditions, cardiac interoceptive deficits presented more undifferentiated and unspecific disturbances across dimensions. CONCLUSIONS Our result suggests a diffuse pattern of interoceptive alterations across neurological conditions, highlighting their potential role as dimensional, transdiagnostic markers.
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12
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Ibanez A, Yokoyama JS, Possin KL, Matallana D, Lopera F, Nitrini R, Takada LT, Custodio N, Sosa Ortiz AL, Avila-Funes JA, Behrens MI, Slachevsky A, Myers RM, Cochran JN, Brusco LI, Bruno MA, Brucki SMD, Pina-Escudero SD, Okada de Oliveira M, Donnelly Kehoe P, Garcia AM, Cardona JF, Santamaria-Garcia H, Moguilner S, Duran-Aniotz C, Tagliazucchi E, Maito M, Longoria Ibarrola EM, Pintado-Caipa M, Godoy ME, Bakman V, Javandel S, Kosik KS, Valcour V, Miller BL. The Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat): Driving Multicentric Research and Implementation Science. Front Neurol 2021; 12:631722. [PMID: 33776890 PMCID: PMC7992978 DOI: 10.3389/fneur.2021.631722] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/15/2021] [Indexed: 12/17/2022] Open
Abstract
Dementia is becoming increasingly prevalent in Latin America, contrasting with stable or declining rates in North America and Europe. This scenario places unprecedented clinical, social, and economic burden upon patients, families, and health systems. The challenges prove particularly pressing for conditions with highly specific diagnostic and management demands, such as frontotemporal dementia. Here we introduce a research and networking initiative designed to tackle these ensuing hurdles, the Multi-partner consortium to expand dementia research in Latin America (ReDLat). First, we present ReDLat's regional research framework, aimed at identifying the unique genetic, social, and economic factors driving the presentation of frontotemporal dementia and Alzheimer's disease in Latin America relative to the US. We describe ongoing ReDLat studies in various fields and ongoing research extensions. Then, we introduce actions coordinated by ReDLat and the Latin America and Caribbean Consortium on Dementia (LAC-CD) to develop culturally appropriate diagnostic tools, regional visibility and capacity building, diplomatic coordination in local priority areas, and a knowledge-to-action framework toward a regional action plan. Together, these research and networking initiatives will help to establish strong cross-national bonds, support the implementation of regional dementia plans, enhance health systems' infrastructure, and increase translational research collaborations across the continent.
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Affiliation(s)
- Agustin Ibanez
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- School of Psychology, Center for Social and Cognitive Neuroscience, Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile
| | - Jennifer S. Yokoyama
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Katherine L. Possin
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Diana Matallana
- Psychiatry Department, School of Medicine, Aging Institute, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Clinic, Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Mental Health Unit, Hospital Universitario Santa Fe de Bogotá, Bogotá, Colombia
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Ricardo Nitrini
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
| | - Leonel T. Takada
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
| | - Nilton Custodio
- Unit Cognitive Impairment and Dementia Prevention, Cognitive Neurology Center, Peruvian Institute of Neurosciences, Lima, Perú
| | - Ana Luisa Sosa Ortiz
- Instituto Nacional de Neurologia y Neurocirugia MVS, Universidad Nacional Autonoma de Mexico, Mexico, Mexico
| | - José Alberto Avila-Funes
- Department of Geriatrics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico, Mexico
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, Bordeaux, France
| | - Maria Isabel Behrens
- Centro de Investigación Clínica Avanzada, Hospital Clínico, Facultad de Medicina Universidad de Chile, Santiago, Chile
- Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile, Santiago, Chile
- Departamento de Neurociencia, Facultad de Medicina Universidad de Chile, Santiago, Chile
- Clínica Alemana Santiago, Universidad del Desarrollo, Santiago, Chile
| | - Andrea Slachevsky
- Clínica Alemana Santiago, Universidad del Desarrollo, Santiago, Chile
- Geroscience Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory, Physiopathology Department, Institute of Biomedical Sciences, Neuroscience and East Neuroscience, Santiago, Chile
- Faculty of Medicine, University of Chile, Santiago, Chile
- Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Faculty of Medicine, Hospital del Salvador, University of Chile, Santiago, Chile
| | - Richard M. Myers
- Hudson Alpha Institute for Biotechnology, Huntsville, AL, United States
| | | | - Luis Ignacio Brusco
- Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
- ALZAR – Alzheimer, Buenos Aires, Argentina
| | - Martin A. Bruno
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Facultad Ciencias Médicas, Instituto Ciencias Biomédicas, Universidad Católica de Cuyo, San Juan, Argentina
| | - Sonia M. D. Brucki
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
- Hospital Santa Marcelina, São Paulo, São Paulo, Brazil
| | - Stefanie Danielle Pina-Escudero
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Maira Okada de Oliveira
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
- Hospital Santa Marcelina, São Paulo, São Paulo, Brazil
| | - Patricio Donnelly Kehoe
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Multimedia Signal Processing Group - Neuroimage Division, French-Argentine International Center for Information and Systems Sciences, Rosario, Argentina
| | - Adolfo M. Garcia
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Faculty of Education, National University of Cuyo, Mendoza, Argentina
| | | | - Hernando Santamaria-Garcia
- Memory and Cognition Clinic, Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Ph.D. Program in Neuroscience, Department of Psychiatry, Physiology, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Sebastian Moguilner
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Claudia Duran-Aniotz
- School of Psychology, Center for Social and Cognitive Neuroscience, Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile
| | - Enzo Tagliazucchi
- Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Marcelo Maito
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | | | - Maritza Pintado-Caipa
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Unit Cognitive Impairment and Dementia Prevention, Cognitive Neurology Center, Peruvian Institute of Neurosciences, Lima, Perú
| | - Maria Eugenia Godoy
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - Vera Bakman
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Shireen Javandel
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Kenneth S. Kosik
- Department of Molecular, Cellular, and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States
| | - Victor Valcour
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Bruce L. Miller
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
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13
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Donnelly-Kehoe PA, Pascariello GO, García AM, Hodges JR, Miller B, Rosen H, Manes F, Landin-Romero R, Matallana D, Serrano C, Herrera E, Reyes P, Santamaria-Garcia H, Kumfor F, Piguet O, Ibanez A, Sedeño L. Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging. Alzheimers Dement (Amst) 2019; 11:588-598. [PMID: 31497638 PMCID: PMC6719282 DOI: 10.1016/j.dadm.2019.06.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Timely diagnosis of behavioral variant frontotemporal dementia (bvFTD) remains challenging because it depends on clinical expertise and potentially ambiguous diagnostic guidelines. Recent recommendations highlight the role of multimodal neuroimaging and machine learning methods as complementary tools to address this problem. METHODS We developed an automatic, cross-center, multimodal computational approach for robust classification of patients with bvFTD and healthy controls. We analyzed structural magnetic resonance imaging and resting-state functional connectivity from 44 patients with bvFTD and 60 healthy controls (across three imaging centers with different acquisition protocols) using a fully automated processing pipeline, including site normalization, native space feature extraction, and a random forest classifier. RESULTS Our method successfully combined multimodal imaging information with high accuracy (91%), sensitivity (83.7%), and specificity (96.6%). DISCUSSION This multimodal approach enhanced the system's performance and provided a clinically informative method for neuroimaging analysis. This underscores the relevance of combining multimodal imaging and machine learning as a gold standard for dementia diagnosis.
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Affiliation(s)
- Patricio Andres Donnelly-Kehoe
- Multimedia Signal Processing Group - Neuroimage Division, French-Argentine International Center for Information and Systems Sciences (CIFASIS) - National Scientific and Technical Research Council (CONICET), Rosario, Argentina
- Laboratory of Neuroimaging and Neuroscience (LANEN), INECO Foundation Rosario, Rosario, Argentina
| | - Guido Orlando Pascariello
- Multimedia Signal Processing Group - Neuroimage Division, French-Argentine International Center for Information and Systems Sciences (CIFASIS) - National Scientific and Technical Research Council (CONICET), Rosario, Argentina
- Laboratory of Neuroimaging and Neuroscience (LANEN), INECO Foundation Rosario, Rosario, Argentina
| | - Adolfo M. García
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Faculty of Education, National University of Cuyo (UNCuyo), Mendoza, Argentina
| | - John R. Hodges
- Centre of Excellence in Cognition and its Disorders, Australian Research Council (ARC), Sydney, Australia
- The University of Sydney, Brain and Mind Centre and Clinical Medical School, Sydney, Australia
| | - Bruce Miller
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Howie Rosen
- Department of Neurology, Memory Aging Center, University of California, San Francisco, CA, USA
| | - Facundo Manes
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Centre of Excellence in Cognition and its Disorders, Australian Research Council (ARC), Sydney, Australia
| | - Ramon Landin-Romero
- Centre of Excellence in Cognition and its Disorders, Australian Research Council (ARC), Sydney, Australia
- The University of Sydney, Brain and Mind Centre and School of Psychology, Sydney, Australia
| | - Diana Matallana
- Medical School, Aging Institute, Psychiatry and Mental Health, Pontificia Universidad Javeriana (PUJ), Bogotá, Colombia
| | - Cecilia Serrano
- Memory and Balance Clinic, Buenos Aires, Argentina
- Department of Neurology, Dr Cesar Milstein Hospital, Buenos Aires, Argentina
| | - Eduar Herrera
- Departamento de Estudios Psicológicos, Universidad Icesi, Cali, Colombia (eduar)
| | - Pablo Reyes
- Radiology, Hospital Universitario San Ignacio (HUSI), Bogotá, Colombia
- Pontificia Universidad Javeriana, Departments of Physiology and Psychiatry – Centro de Memoria y Cognición Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Hernando Santamaria-Garcia
- Radiology, Hospital Universitario San Ignacio (HUSI), Bogotá, Colombia
- Pontificia Universidad Javeriana, Departments of Physiology and Psychiatry – Centro de Memoria y Cognición Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Fiona Kumfor
- Centre of Excellence in Cognition and its Disorders, Australian Research Council (ARC), Sydney, Australia
- The University of Sydney, Brain and Mind Centre and School of Psychology, Sydney, Australia
| | - Olivier Piguet
- Centre of Excellence in Cognition and its Disorders, Australian Research Council (ARC), Sydney, Australia
- The University of Sydney, Brain and Mind Centre and School of Psychology, Sydney, Australia
| | - Agustin Ibanez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Centre of Excellence in Cognition and its Disorders, Australian Research Council (ARC), Sydney, Australia
- Universidad Autónoma del Caribe, Barranquilla, Colombia
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Lucas Sedeño
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
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