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The Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat): Driving Multicentric Research and Implementation Science
(2021)
Agustin Ibanez
;
Jennifer S. Yokoyama
;
Katherine L. Possin
;
Diana Matallana
;
Francisco Lopera
<jats:p>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.</jats:p>
Scopus© Citations 53 9
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Dementia in Latin America: Paving the way toward a regional action plan
(2020)
Mario Alfredo Parra
;
Sandra Baez
;
Lucas Sedeño
;
Cecilia Gonzalez Campo
;
Hernando Santamaría‐García
2Scopus© Citations 115
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Does culture shape our understanding of others’ thoughts and emotions? An investigation across 12 countries.
(2022)
François Quesque
;
Antoine Coutrot
;
Sharon Cox
;
Leonardo Cruz de Souza
;
Sandra Baez
24Scopus© Citations 35
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Multimodal neurocognitive markers of naturalistic discourse typify diverse neurodegenerative diseases
(2021)
Agustina Birba
;
Sol Fittipaldi
;
Judith C Cediel Escobar
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Cecilia Gonzalez Campo
;
Agustina Legaz
<jats:title>Abstract</jats:title> <jats:p>Neurodegeneration has multiscalar impacts, including behavioral, neuroanatomical, and neurofunctional disruptions. Can disease-differential alterations be captured across such dimensions using naturalistic stimuli? To address this question, we assessed comprehension of four naturalistic stories, highlighting action, nonaction, social, and nonsocial events, in Parkinson’s disease (PD) and behavioral variant frontotemporal dementia (bvFTD) relative to Alzheimer’s disease patients and healthy controls. Text-specific correlates were evaluated via voxel-based morphometry, spatial (fMRI), and temporal (hd-EEG) functional connectivity. PD patients presented action–text deficits related to the volume of action–observation regions, connectivity across motor-related and multimodal-semantic hubs, and frontal hd-EEG hypoconnectivity. BvFTD patients exhibited social–text deficits, associated with atrophy and spatial connectivity patterns along social-network hubs, alongside right frontotemporal hd-EEG hypoconnectivity. Alzheimer’s disease patients showed impairments in all stories, widespread atrophy and spatial connectivity patterns, and heightened occipitotemporal hd-EEG connectivity. Our framework revealed disease-specific signatures across behavioral, neuroanatomical, and neurofunctional dimensions, highlighting the sensitivity and specificity of a single naturalistic task. This investigation opens a translational agenda combining ecological approaches and multimodal cognitive neuroscience for the study of neurodegeneration.</jats:p>
2Scopus© Citations 39
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Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach
(2020)
M. Belen Bachli
;
Lucas Sedeño
;
Jeremi K. Ochab
;
Olivier Piguet
;
Fiona Kumfor
16 1Scopus© Citations 56

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