Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures

Autores
Baez, Sandra; Herrera, Eduar; Trujillo, Catalina; Cardona, Juan F.; Diazgranados, Jesús A.; Pino, Mariana; Santamaria Garcia, Hernando; Ibañez, Agustin Mariano; García, Adolfo Martín
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Frontostriatal disorders, such as Parkinson’s disease (PD), are characterized by progressive disruption of cortico-subcortical dopaminergic loops involved in diverse higher-order domains, including language. Indeed, syntactic and emotional language tasks have emerged as potential biomarkers of frontostriatal disturbances. However, relevant studies and models have typically considered these linguistic dimensions in isolation, overlooking the potential advantages of targeting multidimensional markers. Here, we examined whether patient classification can be improved through the joint assessment of both dimensions using sentential stimuli. We evaluated 31 early PD patients and 24 healthy controls via two syntactic measures (functional-role assignment, parsing of long-distance dependencies) and a verbal task tapping social emotions (envy, Schadenfreude) and compared their classification accuracy when analyzed in isolation and in combination. Complementarily, we replicated our approach to discriminate between patients on and off medication. Results showed that specific measures of each dimension were selectively impaired in PD. In particular, joint analysis of outcomes in functional-role assignment and Schadenfreude improved the classification accuracy of patients and controls, irrespective of their overall cognitive and affective state. These results suggest that multidimensional linguistic assessments may better capture the complexity and multi-functional impact of frontostriatal disruptions, highlighting their potential contributions in the ongoing quest for sensitive markers of PD.
Fil: Baez, Sandra. Universidad de los Andes; Colombia
Fil: Herrera, Eduar. Universidad Icesi; Colombia
Fil: Trujillo, Catalina. Universidad del Valle; Colombia
Fil: Cardona, Juan F.. Universidad del Valle; Colombia
Fil: Diazgranados, Jesús A.. Centro Médico de Atención Neurológica Neurólogos de Occidente; Colombia
Fil: Pino, Mariana. Universidad Autónoma del Caribe; Colombia
Fil: Santamaria Garcia, Hernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Hospital Universitario San Ignacio; Colombia. Pontificia Universidad Javeriana; Colombia
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Autónoma del Caribe; Colombia. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos
Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Catolica de Cuyo. Facultad de Educacion.; Argentina
Materia
MULTIDIMENSIONAL ASSESSMENT
PARKINSON’S DISEASE
SENTENTIAL PROCESSING
SOCIAL EMOTIONS
SYNTACTIC PROCESSING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/169110
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal MeasuresBaez, SandraHerrera, EduarTrujillo, CatalinaCardona, Juan F.Diazgranados, Jesús A.Pino, MarianaSantamaria Garcia, HernandoIbañez, Agustin MarianoGarcía, Adolfo MartínMULTIDIMENSIONAL ASSESSMENTPARKINSON’S DISEASESENTENTIAL PROCESSINGSOCIAL EMOTIONSSYNTACTIC PROCESSINGhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Frontostriatal disorders, such as Parkinson’s disease (PD), are characterized by progressive disruption of cortico-subcortical dopaminergic loops involved in diverse higher-order domains, including language. Indeed, syntactic and emotional language tasks have emerged as potential biomarkers of frontostriatal disturbances. However, relevant studies and models have typically considered these linguistic dimensions in isolation, overlooking the potential advantages of targeting multidimensional markers. Here, we examined whether patient classification can be improved through the joint assessment of both dimensions using sentential stimuli. We evaluated 31 early PD patients and 24 healthy controls via two syntactic measures (functional-role assignment, parsing of long-distance dependencies) and a verbal task tapping social emotions (envy, Schadenfreude) and compared their classification accuracy when analyzed in isolation and in combination. Complementarily, we replicated our approach to discriminate between patients on and off medication. Results showed that specific measures of each dimension were selectively impaired in PD. In particular, joint analysis of outcomes in functional-role assignment and Schadenfreude improved the classification accuracy of patients and controls, irrespective of their overall cognitive and affective state. These results suggest that multidimensional linguistic assessments may better capture the complexity and multi-functional impact of frontostriatal disruptions, highlighting their potential contributions in the ongoing quest for sensitive markers of PD.Fil: Baez, Sandra. Universidad de los Andes; ColombiaFil: Herrera, Eduar. Universidad Icesi; ColombiaFil: Trujillo, Catalina. Universidad del Valle; ColombiaFil: Cardona, Juan F.. Universidad del Valle; ColombiaFil: Diazgranados, Jesús A.. Centro Médico de Atención Neurológica Neurólogos de Occidente; ColombiaFil: Pino, Mariana. Universidad Autónoma del Caribe; ColombiaFil: Santamaria Garcia, Hernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Hospital Universitario San Ignacio; Colombia. Pontificia Universidad Javeriana; ColombiaFil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Autónoma del Caribe; Colombia. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. University of California; Estados UnidosFil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Catolica de Cuyo. Facultad de Educacion.; ArgentinaFrontiers Media2020-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/169110Baez, Sandra; Herrera, Eduar; Trujillo, Catalina; Cardona, Juan F.; Diazgranados, Jesús A.; et al.; Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures; Frontiers Media; Frontiers in Aging Neuroscience; 12; 11-2020; 1-111663-4365CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnagi.2020.586233/fullinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fnagi.2020.586233info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:42Zoai:ri.conicet.gov.ar:11336/169110instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:10:42.287CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
title Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
spellingShingle Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
Baez, Sandra
MULTIDIMENSIONAL ASSESSMENT
PARKINSON’S DISEASE
SENTENTIAL PROCESSING
SOCIAL EMOTIONS
SYNTACTIC PROCESSING
title_short Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
title_full Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
title_fullStr Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
title_full_unstemmed Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
title_sort Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
dc.creator.none.fl_str_mv Baez, Sandra
Herrera, Eduar
Trujillo, Catalina
Cardona, Juan F.
Diazgranados, Jesús A.
Pino, Mariana
Santamaria Garcia, Hernando
Ibañez, Agustin Mariano
García, Adolfo Martín
author Baez, Sandra
author_facet Baez, Sandra
Herrera, Eduar
Trujillo, Catalina
Cardona, Juan F.
Diazgranados, Jesús A.
Pino, Mariana
Santamaria Garcia, Hernando
Ibañez, Agustin Mariano
García, Adolfo Martín
author_role author
author2 Herrera, Eduar
Trujillo, Catalina
Cardona, Juan F.
Diazgranados, Jesús A.
Pino, Mariana
Santamaria Garcia, Hernando
Ibañez, Agustin Mariano
García, Adolfo Martín
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv MULTIDIMENSIONAL ASSESSMENT
PARKINSON’S DISEASE
SENTENTIAL PROCESSING
SOCIAL EMOTIONS
SYNTACTIC PROCESSING
topic MULTIDIMENSIONAL ASSESSMENT
PARKINSON’S DISEASE
SENTENTIAL PROCESSING
SOCIAL EMOTIONS
SYNTACTIC PROCESSING
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Frontostriatal disorders, such as Parkinson’s disease (PD), are characterized by progressive disruption of cortico-subcortical dopaminergic loops involved in diverse higher-order domains, including language. Indeed, syntactic and emotional language tasks have emerged as potential biomarkers of frontostriatal disturbances. However, relevant studies and models have typically considered these linguistic dimensions in isolation, overlooking the potential advantages of targeting multidimensional markers. Here, we examined whether patient classification can be improved through the joint assessment of both dimensions using sentential stimuli. We evaluated 31 early PD patients and 24 healthy controls via two syntactic measures (functional-role assignment, parsing of long-distance dependencies) and a verbal task tapping social emotions (envy, Schadenfreude) and compared their classification accuracy when analyzed in isolation and in combination. Complementarily, we replicated our approach to discriminate between patients on and off medication. Results showed that specific measures of each dimension were selectively impaired in PD. In particular, joint analysis of outcomes in functional-role assignment and Schadenfreude improved the classification accuracy of patients and controls, irrespective of their overall cognitive and affective state. These results suggest that multidimensional linguistic assessments may better capture the complexity and multi-functional impact of frontostriatal disruptions, highlighting their potential contributions in the ongoing quest for sensitive markers of PD.
Fil: Baez, Sandra. Universidad de los Andes; Colombia
Fil: Herrera, Eduar. Universidad Icesi; Colombia
Fil: Trujillo, Catalina. Universidad del Valle; Colombia
Fil: Cardona, Juan F.. Universidad del Valle; Colombia
Fil: Diazgranados, Jesús A.. Centro Médico de Atención Neurológica Neurólogos de Occidente; Colombia
Fil: Pino, Mariana. Universidad Autónoma del Caribe; Colombia
Fil: Santamaria Garcia, Hernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Hospital Universitario San Ignacio; Colombia. Pontificia Universidad Javeriana; Colombia
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Autónoma del Caribe; Colombia. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos
Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Catolica de Cuyo. Facultad de Educacion.; Argentina
description Frontostriatal disorders, such as Parkinson’s disease (PD), are characterized by progressive disruption of cortico-subcortical dopaminergic loops involved in diverse higher-order domains, including language. Indeed, syntactic and emotional language tasks have emerged as potential biomarkers of frontostriatal disturbances. However, relevant studies and models have typically considered these linguistic dimensions in isolation, overlooking the potential advantages of targeting multidimensional markers. Here, we examined whether patient classification can be improved through the joint assessment of both dimensions using sentential stimuli. We evaluated 31 early PD patients and 24 healthy controls via two syntactic measures (functional-role assignment, parsing of long-distance dependencies) and a verbal task tapping social emotions (envy, Schadenfreude) and compared their classification accuracy when analyzed in isolation and in combination. Complementarily, we replicated our approach to discriminate between patients on and off medication. Results showed that specific measures of each dimension were selectively impaired in PD. In particular, joint analysis of outcomes in functional-role assignment and Schadenfreude improved the classification accuracy of patients and controls, irrespective of their overall cognitive and affective state. These results suggest that multidimensional linguistic assessments may better capture the complexity and multi-functional impact of frontostriatal disruptions, highlighting their potential contributions in the ongoing quest for sensitive markers of PD.
publishDate 2020
dc.date.none.fl_str_mv 2020-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/169110
Baez, Sandra; Herrera, Eduar; Trujillo, Catalina; Cardona, Juan F.; Diazgranados, Jesús A.; et al.; Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures; Frontiers Media; Frontiers in Aging Neuroscience; 12; 11-2020; 1-11
1663-4365
CONICET Digital
CONICET
url http://hdl.handle.net/11336/169110
identifier_str_mv Baez, Sandra; Herrera, Eduar; Trujillo, Catalina; Cardona, Juan F.; Diazgranados, Jesús A.; et al.; Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures; Frontiers Media; Frontiers in Aging Neuroscience; 12; 11-2020; 1-11
1663-4365
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fnagi.2020.586233/full
info:eu-repo/semantics/altIdentifier/doi/10.3389/fnagi.2020.586233
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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