Browsing by Author "Olivares, Daniela"
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Publication Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations(2024) Moguilner, Sebastian; Baez, Sandra; Hernandez, Hernan; Migeot, Joaquín; Legaz, Agustina; Gonzalez, Raul; Farina, Francesca; Prado, Pavel; Cuadros, Jhosmary; Tagliazucchi, Enzo; Altschuler, Florencia; Maito, Marcelo; Godoy, María; Cruzat, Josefina; Valdes, Pedro; Lopera, Francisco; Ochoa, John; Gonzalez, Alfredis; Bonilla, Jasmin; Gonzalez, Rodrigo; Anghinah, Renato; d'Almeida, Luís; Fittipaldi, Sol; Medel, Vicente; Olivares, Daniela; Yener, Görsev; Escudero, Javier; Babiloni, Claudio; Whelan, Robert; Güntekin, Bahar; Yırıkoğulları, Harun; Santamaria, Hernando; Fernández, Alberto; Huepe, David; Di Caterina, Gaetano; Soto, Marcio; Birba, Agustina; Sainz, Agustin; Coronel, Carlos; Yigezu, Amanuel; Behrens, Maria IsabelLos relojes cerebrales capturan la diversidad y las disparidades en el envejecimiento y la demencia en poblaciones geográficamente diversas. Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations. Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex and neurodegeneration) on the brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American and Caribbean countries (LAC) and 8 non-LAC countries). Based on higher-order interactions, we developed a brain-age gap deep learning architecture for functional magnetic resonance imaging (2,953) and electroencephalography (2,353). The datasets comprised healthy controls and individuals with mild cognitive impairment, Alzheimer disease and behavioral variant frontotemporal dementia. LAC models evidenced older brain ages (functional magnetic resonance imaging: mean directional error = 5.60, root mean square error (r.m.s.e.) = 11.91; electroencephalography: mean directional error = 5.34, r.m.s.e. = 9.82) associated with frontoposterior networks compared with non-LAC models. Structural socioeconomic inequality, pollution and health disparities were influential predictors of increased brain-age gaps, especially in LAC (R² = 0.37, F² = 0.59, r.m.s.e. = 6.9). An ascending brain-age gap from healthy controls to mild cognitive impairment to Alzheimer disease was found. In LAC, we observed larger brain-age gaps in females in control and Alzheimer disease groups compared with the respective males. The results were not explained by variations in signal quality, demographics or acquisition methods. These findings provide a quantitative framework capturing the diversity of accelerated brain aging.Publication Author Correction: Neurocognitive correlates of semanticmemory navigation in Parkinson’s disease(2024) Toro, Felipe; Migeot, Joaquín; Marchant, Nicolás; Olivares, Daniela; Ferrante, Franco; González, Raúl; González, Cecilia; Fittipaldi, Sol; Rojas, Gonzalo; Moguilner, Sebastian; Slachevsky Chonchol, Andrea; Chaná, Pedro; Ibáñez, Agustín; Chaigneau, Sergio; García, AdolfoCorrection to: npj Parkinson’s Disease https://doi.org/10.1038/ s41531-024-00630-4, published online 9 January 2024. In this article the funding from ‘Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile, #BL-SRGP2021-01’ for author Adolfo M. García was omitted. The original article has been corrected.Publication Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations(2024) Moguilner, Sebastian; Baez, Sandra; Hernandez, Hernan; Migeot, Joaquín; Legaz, Agustina; Gonzalez, Raul; Farina, Francesca; Prado, Pavel; Cuadros, Jhosmary; Tagliazucchi, Enzo; Altschuler, Florencia; Maito, Marcelo; Godoy, María; Cruzat, Josefina; Valdes, Pedro; Lopera, Francisco; Ochoa, John; González, Alfredis; Bonilla, Jazmín; Gonzalez, Rodrigo; Anghinah, Renato; d'Almeida, Luis; Fittipaldi, Sol; Medel, Vicente; Olivares, Daniela; Yener, Görsev; Escudero, Javier; Babiloni, Claudio; Whelan, Robert; Guntekin, Bahar; Yırıkoğulları, Harun; Santamaria, Hernando; Fernández, Alberto; Huepe, David; Di Caterina, Gaetano; Soto, Marcio; Birba, Agustina; Sainz, Agustin; Coronel, Carlos; Yigezu, Amanuel; Behrens, Maria IsabelBrain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex and neurodegeneration) on the brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American and Caribbean countries (LAC) and 8 non-LAC countries). Based on higher-order interactions, we developed a brain-age gap deep learning architecture for functional magnetic resonance imaging (2,953) and electroencephalography (2,353). The datasets comprised healthy controls and individuals with mild cognitive impairment, Alzheimer disease and behavioral variant frontotemporal dementia. LAC models evidenced older brain ages (functional magnetic resonance imaging: mean directional error = 5.60, root mean square error (r.m.s.e.) = 11.91; electroencephalography: mean directional error = 5.34, r.m.s.e. = 9.82) associated with frontoposterior networks compared with non-LAC models. Structural socioeconomic inequality, pollution and health disparities were influential predictors of increased brain-age gaps, especially in LAC (R² = 0.37, F² = 0.59, r.m.s.e. = 6.9). An ascending brain-age gap from healthy controls to mild cognitive impairment to Alzheimer disease was found. In LAC, we observed larger brain-age gaps in females in control and Alzheimer disease groups compared with the respective males. The results were not explained by variations in signal quality, demographics or acquisition methods. These findings provide a quantitative framework capturing the diversity of accelerated brain aging. Los relojes cerebrales, que cuantifican las discrepancias entre la edad cerebral y la edad cronológica, son prometedores para comprender la salud y la enfermedad cerebral. Sin embargo, se desconoce el impacto de la diversidad (incluida la geográfica, socioeconómica, sociodemográfica, sexual y neurodegenerativa) en la brecha de edad cerebral. Analizamos conjuntos de datos de 5306 participantes en 15 países (7 países de América Latina y el Caribe (ALC) y 8 países no pertenecientes a ALC). Con base en interacciones de orden superior, desarrollamos una arquitectura de aprendizaje profundo de brecha de edad cerebral para imágenes de resonancia magnética funcional (2953) y electroencefalografía (2353). Los conjuntos de datos comprendían controles sanos e individuos con deterioro cognitivo leve, enfermedad de Alzheimer y demencia frontotemporal variante conductual. Los modelos LAC evidenciaron edades cerebrales más avanzadas (imágenes por resonancia magnética funcional: error direccional medio = 5,60, error cuadrático medio (rmse) = 11,91; electroencefalografía: error direccional medio = 5,34, rmse = 9,82) asociadas con redes frontoposteriores en comparación con los modelos no LAC. La desigualdad socioeconómica estructural, la contaminación y las disparidades en la salud fueron predictores influyentes de mayores brechas de edad cerebral, especialmente en LAC (R² = 0,37, F² = 0,59, rmse = 6,9). Se encontró una brecha ascendente de edad cerebral desde controles sanos hasta deterioro cognitivo leve y enfermedad de Alzheimer. En LAC, observamos brechas de edad cerebral más grandes en mujeres en los grupos de control y enfermedad de Alzheimer en comparación con los respectivos hombres. Los resultados no se explicaron por variaciones en la calidad de la señal, la demografía o los métodos de adquisición. Estos hallazgos proporcionan un marco cuantitativo que captura la diversidad del envejecimiento cerebral acelerado.Item Estudio de acceso y pertinencia cultural en la atención de salud de niñas, niños y adolescentes en contextos de migración en atención primaria(Centro de Salud Global Intercultural, Instituto de Ciencias e Innovación en Medicina, ICIM, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, 2023) Alejandra Carreño,; Cabieses, Báltica; Obach, Alexandra; Blukacz, Alice; Olivares, Daniela; Oyarte, Marcela; Meneses, Katherine; Robledo, María Consuelo; Ortega, AndreaLa migración es un reconocido determinante social de la salud debido a que tiene un impacto sobre la salud física y mental de la persona que migra, en todas las etapas del ciclo migratorio, desde la fase pre-migratoria hasta la fase de asentamiento (Castañeda et al., 2015). Si bien todos los niños, niñas y adolescentes (NNA) tienen el derecho de acceder a servicios de salud y al disfrute del más alto nivel posible de salud que les permita vivir dignamente, aquellos que migran en condiciones peligrosas y se enfrentan a condiciones de vida adversas necesitan atención específica por parte de los sistemas de salud y otras estructuras sociales para abordar su protección, bienestar y salud en todas las fases de su ciclo migratorio y vital (Mendoza, 2009). Las y los NNA migrantes se enfrentan a desafíos diferentes en comparación con la población local, porque afrontan dificultades vinculadas a la falta de acceso a atención de salud y otros servicios básicos, todos estos conocidos factores de riesgo para su salud (UNICEF, 2016). Basados en la necesidad de conocer las condiciones de vida y salud de niños, niñas y adolescentes migrantes presentes en Chile, se presentan los resultados del estudio “ESTUDIO DE ACCESO Y PERTINENCIA CULTURAL EN LA ATENCIÓN DE SALUD DE NIÑAS, NIÑOS Y ADOLESCENTES EN CONTEXTOS DE MIGRACIÓN EN ATENCIÓN PRIMARIA” ejecutado por Departamento de Salud y Pueblos Indígenas (DIVAP, MINSAL) y el Centro de Salud Global Intercultural de la Universidad del Desarrollo.Publication Neurocognitive correlates of semantic memory navigation in Parkinson's disease(2024) Toro, Felipe; Migeot, Joaquín; Marchant, Nicolás; Olivares, Daniela; Ferrante, Franco; González, Raúl; González, Cecilia; Fittipaldi, Sol; Rojas, Gonzalo; Moguilner, Sebastian; Slachevsky Chonchol, Andrea; Chaná, Pedro; Ibáñez, Agustín; Chaigneau, Sergio; García, AdolfoCognitive studies on Parkinson's disease (PD) reveal abnormal semantic processing. Most research, however, fails to indicate which conceptual properties are most affected and capture patients' neurocognitive profiles. Here, we asked persons with PD, healthy controls, and individuals with behavioral variant frontotemporal dementia (bvFTD, as a disease control group) to read concepts (e.g., 'sun') and list their features (e.g., hot). Responses were analyzed in terms of ten word properties (including concreteness, imageability, and semantic variability), used for group-level comparisons, subject-level classification, and brain-behavior correlations. PD (but not bvFTD) patients produced more concrete and imageable words than controls, both patterns being associated with overall cognitive status. PD and bvFTD patients showed reduced semantic variability, an anomaly which predicted semantic inhibition outcomes. Word-property patterns robustly classified PD (but not bvFTD) patients and correlated with disease-specific hypoconnectivity along the sensorimotor and salience networks. Fine-grained semantic assessments, then, can reveal distinct neurocognitive signatures of PD.