Browsing by Author "Piña, Stefanie"

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    Advancements in dementia research, diagnostics, and care in Latin America: Highlights from the 2023 Alzheimer's Association International conference satellite symposium in Mexico City
    (2024) Sosa, Ana; Brucki; Sonia; Crivelli, Lucia; Lopera, Francisco; Acosta, Daisy; Acosta, Juliana; Aguilar, Diego; Aguilar.Sara; Allegri, Ricardo; Bertolucci, Paulo; Calandri, Ismael; Carrillo, Maria; Chrem , Patricio; Cornejo, Mario; Custodio, Nilton; Damian, Andrés; Cruz , Leonardo; Duran, Claudia; García, Adolfo; García, Carmen; Gonzales, Mitzi; Grinberg, Lea; Ibanez, Agustin; Illanes, Maryenela; Jack, Clifford; Leon, Jorge; Llibre, Jorge; Luna, José; Matallana, Diana; Miller, Bruce; Naci, Lorina; Parra, Mario; Pericak, Margaret; Piña, Stefanie; França, Elisa de Paula; Ringman, John; Sevlever, Gustavo; Slachevsky Chonchol, Andrea; Kimie, Claudia; Valcour, Victor; Villegas, Andres
    Introduction: While Latin America (LatAm) is facing an increasing burden of dementia due to the rapid aging of the population, it remains underrepresented in dementia research, diagnostics, and care. Methods: In 2023, the Alzheimer's Association hosted its eighth satellite symposium in Mexico, highlighting emerging dementia research, priorities, and challenges within LatAm. Results: Significant initiatives in the region, including intracountry support, showcased their efforts in fostering national and international collaborations; genetic studies unveiled the unique genetic admixture in LatAm; researchers conducting emerging clinical trials discussed ongoing culturally specific interventions; and the urgent need to harmonize practices and studies, improve diagnosis and care, and use affordable biomarkers in the region was highlighted. Discussion: The myriad of topics discussed at the 2023 AAIC satellite symposium highlighted the growing research efforts in LatAm, providing valuable insights into dementia biology, genetics, epidemiology, treatment, and care.
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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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    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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