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Benchmarking speech biomarkers of Alzheimer's against cognitive and neural measures
(Wiley, 2026-04)
Ivan Caro
;
Gonzalo Pérez
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Joaquín Valdés Bize
;
Joaquín Ponferrada
;
Franco J. Ferrante
3
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Plasma ATN biomarkers across the alzheimer’s disease continuum in a Chilean community- and clinic-based cohort
(Springer Science and Business Media LLC, 2026-02-14)
Paulina Orellana
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Fernando Henríquez
;
Felipe Cabral-Miranda
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Hernán Hernandez
;
Pamela C L Ferreira
2
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Author Correction: The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds
(2024)
Pavel Prado
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Vicente Medel
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Raul Gonzalez-Gomez
;
Agustín Sainz-Ballesteros
;
Victor Vidal
Scopus© Citations 1 1
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The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds
(2023)
Pavel Prado
;
Vicente Medel
;
Raul Gonzalez-Gomez
;
Agustín Sainz-Ballesteros
;
Victor Vidal
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.
30Scopus© Citations 22
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The “when” matters: Evidence from memory markers in the clinical continuum of Alzheimer’s disease.
(2023)
Gonzalo Forno
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Mario A. Parra
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Daniela Thumala
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Roque Villagra
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Mauricio Cerda
6Scopus© Citations 5
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Assessing subjective cognitive decline in older adults attending primary health care centers: what question should be asked?
(2023)
Matías Molina-Donoso
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Teresa Parrao
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Céline Meillon
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Daniela Thumala
;
Patricia Lillo
Scopus© Citations 1 1
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Country-level gender inequality is associated with structural differences in the brains of women and men
(2023)
André Zugman
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Luz María Alliende
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Vicente Medel
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Richard A.I. Bethlehem
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Jakob Seidlitz
<jats:p>Gender inequality across the world has been associated with a higher risk to mental health problems and lower academic achievement in women compared to men. We also know that the brain is shaped by nurturing and adverse socio-environmental experiences. Therefore, unequal exposure to harsher conditions for women compared to men in gender-unequal countries might be reflected in differences in their brain structure, and this could be the neural mechanism partly explaining women’s worse outcomes in gender-unequal countries. We examined this through a random-effects meta-analysis on cortical thickness and surface area differences between adult healthy men and women, including a meta-regression in which country-level gender inequality acted as an explanatory variable for the observed differences. A total of 139 samples from 29 different countries, totaling 7,876 MRI scans, were included. Thickness of the right hemisphere, and particularly the right caudal anterior cingulate, right medial orbitofrontal, and left lateral occipital cortex, presented no differences or even thicker regional cortices in women compared to men in gender-equal countries, reversing to thinner cortices in countries with greater gender inequality. These results point to the potentially hazardous effect of gender inequality on women’s brains and provide initial evidence for neuroscience-informed policies for gender equality.</jats:p>
Scopus© Citations 38 5
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Interoception Primes Emotional Processing: Multimodal Evidence from Neurodegeneration
(2021)
Paula C. Salamone
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Agustina Legaz
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Lucas Sedeño
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Sebastián Moguilner
;
Matías Fraile-Vazquez
7Scopus© Citations 80
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Classification of Alzheimer's disease and frontotemporal dementia using routine clinical and cognitive measures across multicentric underrepresented samples: A cross sectional observational study
(2023)
Marcelo Adrián Maito
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Hernando Santamaría-García
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Sebastián Moguilner
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Katherine L. Possin
;
María E. Godoy
33Scopus© Citations 53
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Multimodal mechanisms of human socially reinforced learning across neurodegenerative diseases
(2021)
Agustina Legaz
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Sofía Abrevaya
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Martín Dottori
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Cecilia González Campo
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Agustina Birba
<jats:title>Abstract</jats:title> <jats:p>Social feedback can selectively enhance learning in diverse domains. Relevant neurocognitive mechanisms have been studied mainly in healthy persons, yielding correlational findings. Neurodegenerative lesion models, coupled with multimodal brain measures, can complement standard approaches by revealing direct multidimensional correlates of the phenomenon.</jats:p> <jats:p>To this end, we assessed socially reinforced and non-socially reinforced learning in 40 healthy participants as well as persons with behavioural variant frontotemporal dementia (n = 21), Parkinson’s disease (n = 31) and Alzheimer’s disease (n = 20). These conditions are typified by predominant deficits in social cognition, feedback-based learning and associative learning, respectively, although all three domains may be partly compromised in the other conditions. We combined a validated behavioural task with ongoing EEG signatures of implicit learning (medial frontal negativity) and offline MRI measures (voxel-based morphometry).</jats:p> <jats:p>In healthy participants, learning was facilitated by social feedback relative to non-social feedback. In comparison with controls, this effect was specifically impaired in behavioural variant frontotemporal dementia and Parkinson’s disease, while unspecific learning deficits (across social and non-social conditions) were observed in Alzheimer’s disease. EEG results showed increased medial frontal negativity in healthy controls during social feedback and learning. Such a modulation was selectively disrupted in behavioural variant frontotemporal dementia. Neuroanatomical results revealed extended temporo-parietal and fronto-limbic correlates of socially reinforced learning, with specific temporo-parietal associations in behavioural variant frontotemporal dementia and predominantly fronto-limbic regions in Alzheimer’s disease. In contrast, non-socially reinforced learning was consistently linked to medial temporal/hippocampal regions. No associations with cortical volume were found in Parkinson’s disease. Results are consistent with core social deficits in behavioural variant frontotemporal dementia, subtle disruptions in ongoing feedback-mechanisms and social processes in Parkinson’s disease and generalized learning alterations in Alzheimer’s disease. This multimodal approach highlights the impact of different neurodegenerative profiles on learning and social feedback.</jats:p> <jats:p>Our findings inform a promising theoretical and clinical agenda in the fields of social learning, socially reinforced learning and neurodegeneration.</jats:p>
2Scopus© Citations 28

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