SLACHEVSKY CHONCHOL, ANDREA MARÍA
Thumbnail Image
Preferred name
SLACHEVSKY CHONCHOL, ANDREA MARÍA
Main Affiliation
Email
aslachevsky@med.uchile.cl
ORCID
Scopus Author ID
56394322900

Research Output

2024 2024 2023 2023 2022 2022 2021 2021 2020 2020 2019 2019 2018 2018 2017 2017 2016 2016 0.0 0.0 1.0 1.0 2.0 2.0 3.0 3.0 4.0 4.0 5.0 5.0 6.0 6.0

Filters

1 1
15
Reset filters

Settings
Now showing 1 - 10 of 15
No Thumbnail Available
Publication

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

View
No Thumbnail Available
Publication

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.

View
No Thumbnail Available
Publication

The Latin American Brain Health Institute, a regional initiative to reduce the scale and impact of dementia

2022 , Claudia Duran‐Aniotz , Jorge Sanhueza , Lea T. Grinberg , Andrea Slachevsky , Victor Valcour , Ian Robertson , Brian Lawlor , Bruce Miller , Agustín Ibáñez

View
No Thumbnail Available
Publication

Alzheimer’s Disease or Behavioral Variant Frontotemporal Dementia? Review of Key Points Toward an Accurate Clinical and Neuropsychological Diagnosis

2020 , Gada Musa , Andrea Slachevsky , Carlos Muñoz-Neira , Carolina Méndez-Orellana , Roque Villagra , Christian González-Billault , Agustín Ibáñez , Michael Hornberger , Patricia Lillo , Paulo Caramelli

View
No Thumbnail Available
Publication

Aging and Health Policies in Chile: New Agendas for Research

2017 , Daniela Thumala , Brian K. Kennedy , Esteban Calvo , Christian Gonzalez-Billault , Pedro Zitko , Patricia Lillo , Roque Villagra , Agustín Ibáñez , Rodrigo Assar , Maricarmen Andrade , Andrea Slachevsky

View
No Thumbnail Available
Publication

Multidimensional inhibitory signatures of sentential negation in behavioral variant frontotemporal dementia

2022 , Mariano N Díaz-Rivera , Agustina Birba , Sol Fittipaldi , Débora Mola , Yurena Morera , Manuel de Vega , Sebastian Moguilner , Patricia Lillo , SLACHEVSKY CHONCHOL, ANDREA MARÍA , Cecilia González Campo , Agustín Ibáñez , Adolfo M García

Abstract Background Processing of linguistic negation has been associated to inhibitory brain mechanisms. However, no study has tapped this link via multimodal measures in patients with core inhibitory alterations, a critical approach to reveal direct neural correlates and potential disease markers. Methods Here we examined oscillatory, neuroanatomical, and functional connectivity signatures of a recently reported Go/No-go negation task in healthy controls and behavioral variant frontotemporal dementia (bvFTD) patients, typified by primary and generalized inhibitory disruptions. To test for specificity, we also recruited persons with Alzheimer's disease (AD), a disease involving frequent but nonprimary inhibitory deficits. Results In controls, negative sentences in the No-go condition distinctly involved frontocentral delta (2–3 Hz) suppression, a canonical inhibitory marker. In bvFTD patients, this modulation was selectively abolished and significantly correlated with the volume and functional connectivity of regions supporting inhibition (e.g. precentral gyrus, caudate nucleus, and cerebellum). Such canonical delta suppression was preserved in the AD group and associated with widespread anatomo-functional patterns across non-inhibitory regions. Discussion These findings suggest that negation hinges on the integrity and interaction of spatiotemporal inhibitory mechanisms. Moreover, our results reveal potential neurocognitive markers of bvFTD, opening a new agenda at the crossing of cognitive neuroscience and behavioral neurology.

View
No Thumbnail Available
Publication

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

View
No Thumbnail Available
Publication

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

View
No Thumbnail Available
Publication

Apathy, Executive Function, and Emotion Recognition Are the Main Drivers of Functional Impairment in Behavioral Variant of Frontotemporal Dementia

2022 , Gada Musa Salech , Patricia Lillo , Karin van der Hiele , Carolina Méndez-Orellana , Agustín Ibáñez , Andrea Slachevsky

Background: The cognitive and neuropsychiatric deficits present in patients with behavioral variant frontotemporal dementia (bvFTD) are associated with loss of functionality in the activities of daily living (ADLs). The main purpose of this study was to examine and explore the association between the cognitive and neuropsychiatric features that might prompt functional impairment of basic, instrumental, and advanced ADL domains in patients with bvFTD.Methods: A retrospective cross-sectional study was conducted with 27 patients with bvFTD in its early stage (<2 years of evolution) and 32 healthy control subjects. A neuropsychological assessment was carried out wherein measures of cognitive function and neuropsychiatric symptoms were obtained. The informant-report Technology–Activities of Daily Living Questionnaire was used to assess the percentage of functional impairment in the different ADL domains. To identify the best determinants, three separate multiple regression analyses were performed, considering each functional impairment as the dependent variable and executive function, emotion recognition, disinhibition, and apathy as independent variables.Results: For the basic ADLs, a model that explains 28.2% of the variability was found, in which the presence of apathy (β = 0.33, p = 0.02) and disinhibition (β = 0.29, p = 0.04) were significant factors. Concerning instrumental ADLs, the model produced accounted for 63.7% of the functional variability, with the presence of apathy (β = 0.71, p < 0.001), deficits in executive function (β = −0.36, p = 0.002), and lack of emotion recognition (β = 0.28, p = 0.017) as the main contributors. Finally, in terms of advanced ADLs, the model found explained 52.6% of the variance, wherein only the presence of apathy acted as a significant factor (β = 0.59, p < 0.001).Conclusions: The results of this study show the prominent and transverse effect of apathy in the loss of functionality throughout all the ADL domains. Apart from that, this is the first study that shows that the factors associated with loss of functionality differ according to the functional domain in patients with bvFTD in its early stage. Finally, no other study has analyzed the impact of the lack of emotion recognition in the functionality of ADLs. These results could guide the planning of tailored interventions that might enhance everyday activities and the improvement of quality of life.

View
No Thumbnail Available
Publication

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.

View