Person: Slachevsky Chonchol, Andrea
Loading...
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
Slachevsky Chonchol
First Name
Andrea
Name
Andrea María Slachevsky Conchol
3 results
¿Qué estás buscando?
Search Results
Now showing 1 - 3 of 3
Publication Automated free speech analysis reveals distinct markers of Alzheimer's and frontotemporal dementia(2024) Lopes da Cunha, Pamela; Ruiz, Fabián; Ferrante, Franco; Sterpin, Lucas; Ibáñez, Agustín; Slachevsky Chonchol, Andrea; Matallana, Diana; Martínez, Ángela; Hesse, Eugenia; García, AdolfoDementia 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.Publication Neurocognitive correlates of semantic memory navigation in Parkinson's disease(2024) Toro, Felipe; Migeot, Joaquín; Marchant, Nicolás; Olivares, Daniela; Ferrante, Franco; González, Raúl; González, Cecilia; Fittipaldi, Sol; Rojas, Gonzalo; Moguilner, Sebastian; Slachevsky Chonchol, Andrea; Chaná, Pedro; Ibáñez, Agustín; Chaigneau, Sergio; García, AdolfoCognitive 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.Publication Author Correction: Neurocognitive correlates of semanticmemory navigation in Parkinson’s disease(2024) Toro, Felipe; Migeot, Joaquín; Marchant, Nicolás; Olivares, Daniela; Ferrante, Franco; González, Raúl; González, Cecilia; Fittipaldi, Sol; Rojas, Gonzalo; Moguilner, Sebastian; Slachevsky Chonchol, Andrea; Chaná, Pedro; Ibáñez, Agustín; Chaigneau, Sergio; García, AdolfoCorrection to: npj Parkinson’s Disease https://doi.org/10.1038/ s41531-024-00630-4, published online 9 January 2024. In this article the funding from ‘Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile, #BL-SRGP2021-01’ for author Adolfo M. García was omitted. The original article has been corrected.