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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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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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

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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

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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

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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.

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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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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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Multi-feature computational framework for combined signatures of dementia in underrepresented settings

2022 , Sebastian Moguilner , Agustina Birba , Sol Fittipaldi , Cecilia Gonzalez-Campo , Enzo Tagliazucchi , REYES, PABLO , Diana Matallana , Mario A Parra , SLACHEVSKY CHONCHOL, ANDREA MARÍA , Gonzalo Farías , Josefina Cruzat , Adolfo García , Harris A Eyre , Renaud La Joie , Gil Rabinovici , Robert Whelan , Agustín Ibáñez

Abstract Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia highlight the critical role of biomarkers. Thus, novel cost-effective complementary approaches are required in clinical settings. Approach. We developed a novel framework based on a gradient boosting machine learning classifier, tuned by Bayesian optimization, on a multi-feature multimodal approach (combining demographic, neuropsychological, magnetic resonance imaging (MRI), and electroencephalography/functional MRI connectivity data) to characterize neurodegeneration using site harmonization and sequential feature selection. We assessed 54 bvFTD and 76 AD patients and 152 healthy controls (HCs) from a Latin American consortium (ReDLat). Main results. The multimodal model yielded high area under the curve classification values (bvFTD patients vs HCs: 0.93 (±0.01); AD patients vs HCs: 0.95 (±0.01); bvFTD vs AD patients: 0.92 (±0.01)). The feature selection approach successfully filtered non-informative multimodal markers (from thousands to dozens). Results. Proved robust against multimodal heterogeneity, sociodemographic variability, and missing data. Significance. The model accurately identified dementia subtypes using measures readily available in underrepresented settings, with a similar performance than advanced biomarkers. This approach, if confirmed and replicated, may potentially complement clinical assessments in developing countries.

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Multimodal neurocognitive markers of naturalistic discourse typify diverse neurodegenerative diseases

2021 , Agustina Birba , Sol Fittipaldi , Judith C Cediel Escobar , Cecilia Gonzalez Campo , Agustina Legaz , Agostina Galiani , Mariano N Díaz Rivera , Miquel Martorell Caro , Florencia Alifano , Stefanie D Piña-Escudero , Juan Felipe Cardona , Alejandra Neely , Gonzalo Forno , Mariela Carpinella , Andrea Slachevsky , Cecilia Serrano , Lucas Sedeño , Agustín Ibáñez , Adolfo M García

Abstract 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.

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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.

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