SLACHEVSKY CHONCHOL, ANDREA MARÍA
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SLACHEVSKY CHONCHOL, ANDREA MARÍA
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aslachevsky@med.uchile.cl
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56394322900

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Educational disparities in brain health and dementia across Latin America and the United States

2024 , Raul Gonzalez‐Gomez , Agustina Legaz , Sebastián Moguilner , Josephine Cruzat , Hernán Hernández , Sandra Baez , Rafael Cocchi , Carlos Coronel‐Olivero , Vicente Medel , Enzo Tagliazuchi , Joaquín Migeot , Carolina Ochoa‐Rosales , Marcelo Adrián Maito , Pablo Reyes , Hernando Santamaria Garcia , Maria E. Godoy , Shireen Javandel , Adolfo M. García , Diana L. Matallana , José Alberto Avila‐Funes , María I. Behrens , SLACHEVSKY CHONCHOL, ANDREA MARÍA , Nilton Custodio , Juan F. Cardona , Ignacio L. Brusco , Martín A. Bruno , Ana L. Sosa Ortiz , Stefanie D. Pina‐Escudero , Leonel T. Takada , Elisa de Paula França Resende , Victor Valcour , Katherine L. Possin , Maira Okada de Oliveira , Francisco Lopera , Brian Lawlor , Kun Hu , Bruce Miller , Jennifer S. Yokoyama , Cecilia Gonzalez Campo , Agustin Ibañez

AbstractBACKGROUNDEducation influences brain health and dementia. However, its impact across regions, specifically Latin America (LA) and the United States (US), is unknown.METHODSA total of 1412 participants comprising controls, patients with Alzheimer's disease (AD), and frontotemporal lobar degeneration (FTLD) from LA and the US were included. We studied the association of education with brain volume and functional connectivity while controlling for imaging quality and variability, age, sex, total intracranial volume (TIV), and recording type.RESULTSEducation influenced brain measures, explaining 24%–98% of the geographical differences. The educational disparities between LA and the US were associated with gray matter volume and connectivity variations, especially in LA and AD patients. Education emerged as a critical factor in classifying aging and dementia across regions.DISCUSSIONThe results underscore the impact of education on brain structure and function in LA, highlighting the importance of incorporating educational factors into diagnosing, care, and prevention, and emphasizing the need for global diversity in research.Highlights Lower education was linked to reduced brain volume and connectivity in healthy controls (HCs), Alzheimer's disease (AD), and frontotemporal lobar degeneration (FTLD). Latin American cohorts have lower educational levels compared to the those in the United States. Educational disparities majorly drive brain health differences between regions. Educational differences were significant in both conditions, but more in AD than FTLD. Education stands as a critical factor in classifying aging and dementia across regions.

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Author Correction: Neurocognitive correlates of semantic memory navigation in Parkinson’s disease

2024 , Felipe Diego Toro-Hernández , Joaquín Migeot , Nicolás Marchant , Daniela Olivares , Franco Ferrante , Raúl González-Gómez , Cecilia González Campo , Sol Fittipaldi , Gonzalo M. Rojas-Costa , Sebastian Moguilner , SLACHEVSKY CHONCHOL, ANDREA MARÍA , Pedro Chaná Cuevas , Agustín Ibáñez , Sergio Chaigneau , Adolfo M. García

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Your perspective and my benefit: multiple lesion models of self-other integration strategies during social bargaining

2016 , Margherita Melloni , BILLEKE BOBADILLA, PABLO ERNESTO , Sandra Baez , Eugenia Hesse , Laura de la Fuente , Gonzalo Forno , Agustina Birba , Indira García-Cordero , Cecilia Serrano , Angelo Plastino , SLACHEVSKY CHONCHOL, ANDREA MARÍA , David Huepe , Mariano Sigman , Facundo Manes , Adolfo M. García , Lucas Sedeño , Agustín Ibáñez

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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 , Hernando Santamaría-García , Sebastián Moguilner , Katherine L. Possin , María E. Godoy , José Alberto Avila-Funes , BEHRENS PELLEGRINO, MARIA ISABEL , Ignacio L. Brusco , Martín A. Bruno , Juan F. Cardona , Nilton Custodio , Adolfo M. García , Shireen Javandel , Francisco Lopera , Diana L. Matallana , Bruce Miller , Maira Okada de Oliveira , Stefanie D. Pina-Escudero , Andrea Slachevsky , Ana L. Sosa Ortiz , Leonel T. Takada , Enzo Tagliazuchi , Victor Valcour , Jennifer S. Yokoyama , Agustín Ibañez

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Allostatic-Interoceptive Overload in Frontotemporal Dementia

2022 , Agustina Birba , Hernando Santamaría-García , Pavel Prado , Josefina Cruzat , Agustín Sainz Ballesteros , Agustina Legaz , Sol Fittipaldi , Claudia Duran-Aniotz , Andrea Slachevsky , Rodrigo Santibañez , Mariano Sigman , Adolfo M. García , Robert Whelan , Sebastián Moguilner , Agustín Ibáñez

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Automated free speech analysis reveals distinct markers of Alzheimer’s and frontotemporal dementia

2024 , Pamela Lopes da Cunha , Fabián Ruiz , Franco Ferrante , Lucas Federico Sterpin , Agustín Ibáñez , SLACHEVSKY CHONCHOL, ANDREA MARÍA , Diana Matallana , Ángela Martínez , Eugenia Hesse , Adolfo M. García , Lorenzo Pini

Dementia can disrupt how people experience and describe events as well as their own role in them. Alzheimer’s disease (AD) compromises the processing of entities expressed by nouns, while behavioral variant frontotemporal dementia (bvFTD) entails a depersonalized perspective with increased third-person references. Yet, no study has examined whether these patterns can be captured in connected speech via natural language processing tools. To tackle such gaps, we asked 96 participants (32 AD patients, 32 bvFTD patients, 32 healthy controls) to narrate a typical day of their lives and calculated the proportion of nouns, verbs, and first- or third-person markers (via part-of-speech and morphological tagging). We also extracted objective properties (frequency, phonological neighborhood, length, semantic variability) from each content word. In our main study (with 21 AD patients, 21 bvFTD patients, and 21 healthy controls), we used inferential statistics and machine learning for group-level and subject-level discrimination. The above linguistic features were correlated with patients’ scores in tests of general cognitive status and executive functions. We found that, compared with HCs, (i) AD (but not bvFTD) patients produced significantly fewer nouns, (ii) bvFTD (but not AD) patients used significantly more third-person markers, and (iii) both patient groups produced more frequent words. Machine learning analyses showed that these features identified individuals with AD and bvFTD (AUC = 0.71). A generalizability test, with a model trained on the entire main study sample and tested on hold-out samples (11 AD patients, 11 bvFTD patients, 11 healthy controls), showed even better performance, with AUCs of 0.76 and 0.83 for AD and bvFTD, respectively. No linguistic feature was significantly correlated with cognitive test scores in either patient group. These results suggest that specific cognitive traits of each disorder can be captured automatically in connected speech, favoring interpretability for enhanced syndrome characterization, diagnosis, and monitoring.

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Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia

2023 , Franco J. Ferrante , Joaquín Migeot , Agustina Birba , Lucía Amoruso , Gonzalo Pérez , Eugenia Hesse , Enzo Tagliazucchi , Claudio Estienne , Cecilia Serrano , SLACHEVSKY CHONCHOL, ANDREA MARÍA , Diana Matallana , Pablo Reyes , Agustín Ibáñez , Sol Fittipaldi , Cecilia Gonzalez Campo , Adolfo M. García

AbstractINTRODUCTIONVerbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease‐specific semantic memory patterns. Here, we leveraged automated word‐property analysis to capture neurocognitive markers of AD vis‐à‐vis behavioral variant frontotemporal dementia (bvFTD).METHODSPatients and healthy controls completed two fluency tasks. We counted valid responses and computed each word's frequency, granularity, neighborhood, length, familiarity, and imageability. These features were used for group‐level discrimination, patient‐level identification, and correlations with executive and neural (magnetic resonanance imaging [MRI], functional MRI [fMRI], electroencephalography [EEG]) patterns.RESULTSValid responses revealed deficits in both disorders. Conversely, frequency, granularity, and neighborhood yielded robust group‐ and subject‐level discrimination only in AD, also predicting executive outcomes. Disease‐specific cortical thickness patterns were predicted by frequency in both disorders. Default‐mode and salience network hypoconnectivity, and EEG beta hypoconnectivity, were predicted by frequency and granularity only in AD.DISCUSSIONWord‐property analysis of fluency can boost AD characterization and diagnosis.Highlights We report novel word‐property analyses of verbal fluency in AD and bvFTD. Standard valid response counts captured deficits and brain patterns in both groups. Specific word properties (e.g., frequency, granularity) were altered only in AD. Such properties predicted cognitive and neural (MRI, fMRI, EEG) patterns in AD. Word‐property analysis of fluency can boost AD characterization and diagnosis.

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Interoception Primes Emotional Processing: Multimodal Evidence from Neurodegeneration

2021 , Paula C. Salamone , Agustina Legaz , Lucas Sedeño , Sebastián Moguilner , Matías Fraile-Vazquez , Cecilia Gonzalez Campo , Sol Fittipaldi , Adrián Yoris , Magdalena Miranda , Agustina Birba , Agostina Galiani , Sofía Abrevaya , Alejandra Neely , Miguel Martorell Caro , Florencia Alifano , Roque Villagra , Florencia Anunziata , Maira Okada de Oliveira , Ricardo M. Pautassi , Andrea Slachevsky , Cecilia Serrano , Adolfo M. García , Agustín Ibañez

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Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing

2017 , Martin Dottori , Lucas Sedeño , Miguel Martorell Caro , Florencia Alifano , Eugenia Hesse , Ezequiel Mikulan , Adolfo M. García , Amparo Ruiz-Tagle , Patricia Lillo , Andrea Slachevsky , Cecilia Serrano , Daniel Fraiman , Agustin Ibanez

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Neurocognitive correlates of semantic memory navigation in Parkinson’s disease

2024 , Felipe Diego Toro-Hernández , Joaquín Migeot , Nicolás Marchant , Daniela Olivares , Franco Ferrante , Raúl González-Gómez , Cecilia González Campo , Sol Fittipaldi , Gonzalo M. Rojas-Costa , Sebastian Moguilner , SLACHEVSKY CHONCHOL, ANDREA MARÍA , Pedro Chaná Cuevas , Agustín Ibáñez , Sergio Chaigneau , Adolfo M. García

AbstractCognitive 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.

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