Browsing by Author "Santamaría, Hernando"

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    Author Correction: the BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds
    (2024) Prado, Pavel; Medel, Vicente; González, Raúl; Sainz, Agustín; Vidal, Víctor; Santamaría, Hernando; Moguilner, Sebastián; Mejía, Jhony; Slachevsky Chonchol, Andrea; Behrens, Maria Isabel; Aguillón, David; Lopera, Francisco; Parra, Mario; Matallana, Diana; Adrián, Marcelo; García, Adolfo; Custodio, Nilton; Ávila, Alberto; Piña, Stefanie; Birba, Agustina; Fittipaldi, Sol; Legaz, Agustina; Ibáñez, Agustín
    In this article the author name Maria Isabel Behrens was incorrectly written as Maria Isabel Beherens. The original article has been corrected.
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    Dementia prevention requires moving beyond individual choice: the costs of effort and time intersect with social determinants of health
    (2025) Migeot, Joaquín; Araya, Daniel; Montecinos, Matias; Baez, Sandra; Behrens, Maria Isabel; Castaner, Olga; Cruzat, Josephine; Delgado, Carolina; De Jong- Bambagioni, David; Duran, Claudia; Durón, Dafne; Evans, Tavia; Gonzalez, Raul; Gutiérrez, Myriam; Hayden, Katheen; Hernandez, Hernan; Ibañez, Agustin; Legaz, Agustina; Miller, Johnny; Ma iulskyt, Sonata; Putthinun, Pongpat; Santamaría, Hernando; Slachevsky Chonchol, Andrea; Trépel, Dominic
    Social determinants of health strongly influence modifiable risk factors for dementia, yet prevention frameworks list only individual-level behaviours and conditions, overlooking the impact of social and environmental factors on the risk of dementia. In this perspective, we introduce the concept of non-monetary costs as a central mechanism through which social determinants shape modifiable risk factors by influencing individuals' ability to adopt healthy behaviours. Drawing from economic theory, we define non-monetary costs as the time and metabolic cost, perceived by individuals as physical and cognitive effort, required to engage in healthy behaviours. Under adverse social determinants of health, individuals effectively lack choice, as the non-monetary costs required to engage in healthy behaviours become prohibitively high. We propose a framework that links social determinants of health adversity to increased dementia risk through non-monetary costs. We apply this framework to each of the fourteen modifiable risk factors for dementia identified by the Lancet Commission, demonstrating how these costs systematically elevate risk in populations facing social adversity. Finally, we explore the implications of incorporating non-monetary cost assessments across research, interventions, clinical care, and public policy. We propose that quantifying and addressing these costs is essential for designing equitable, scalable, and contextually grounded strategies for dementia prevention across socially diverse populations.
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    The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds
    (2023) Prado, Pavel; Medel, Vicente; Gonzalez, Raul; Sainz, Agustín; Vidal , Victor; Santamaría, Hernando; Moguilner, Sebastian; Mejia, Jhony; Slachevsky Chonchol, Andrea; Behrens, Maria; Aguillon, David; Lopera, Francisco; Parra, Mario; Matallana,Diana; Maito, Marcelo; Garcia, Adolfo; Custodio, Nilton; Ávila, Alberto; Piña, Stefanie; Birba, Agustina; Fittipaldi, Sol; Legaz, Agustina; Ibañez, Agustín
    The Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from Latin American. The dataset includes 530 patients with neurodegenerative diseases such as Alzheimer's disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson's disease (PD), and 250 healthy controls (HCs). This dataset (62.7 ± 9.5 years, age range 21-89 years) was collected through a multicentric effort across five Latin American countries to address the need for affordable, scalable, and available biomarkers in regions with larger inequities. The BrainLat is the first regional collection of clinical and cognitive assessments, anatomical magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), diffusion-weighted MRI (DWI), and high density resting-state electroencephalography (EEG) in dementia patients. In addition, it includes demographic information about harmonized recruitment and assessment protocols. The dataset is publicly available to encourage further research and development of tools and health applications for neurodegeneration based on multimodal neuroimaging, promoting the assessment of regional variability and inclusion of underrepresented participants in research.

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