Automated analysis of lexical features in frontotemporal degeneration.


Journal

Cortex; a journal devoted to the study of the nervous system and behavior
ISSN: 1973-8102
Titre abrégé: Cortex
Pays: Italy
ID NLM: 0100725

Informations de publication

Date de publication:
04 2021
Historique:
received: 26 02 2020
revised: 26 07 2020
accepted: 22 01 2021
pubmed: 1 3 2021
medline: 8 7 2021
entrez: 28 2 2021
Statut: ppublish

Résumé

We implemented an automated analysis of lexical aspects of semi-structured speech produced by healthy elderly controls (n = 37) and three patient groups with frontotemporal degeneration (FTD): behavioral variant FTD (n = 74), semantic variant primary progressive aphasia (svPPA, n = 42), and nonfluent/agrammatic PPA (naPPA, n = 22). Based on previous findings, we hypothesized that the three patient groups and controls would differ in the counts of part-of-speech (POS) categories and several lexical measures. With a natural language processing program, we automatically tagged POS categories of all words produced during a picture description task. We further counted the number of wh-words, and we rated nouns for abstractness, ambiguity, frequency, familiarity, and age of acquisition. We also computed the cross-entropy estimation, where low cross-entropy indicates high predictability, and lexical diversity for each description. We validated a subset of the POS data that were automatically tagged with the Google Universal POS scheme using gold-standard POS data tagged by a linguist, and we found that the POS categories from our automated methods were more than 90% accurate. For svPPA patients, we found fewer unique nouns than in naPPA and more pronouns and wh-words than in the other groups. We also found high abstractness, ambiguity, frequency, and familiarity for nouns and the lowest cross-entropy estimation among all groups. These measures were associated with cortical thinning in the left temporal lobe. In naPPA patients, we found increased speech errors and partial words compared to controls, and these impairments were associated with cortical thinning in the left middle frontal gyrus. bvFTD patients' adjective production was decreased compared to controls and was correlated with their apathy scores. Their adjective production was associated with cortical thinning in the dorsolateral frontal and orbitofrontal gyri. Our results demonstrate distinct language profiles in subgroups of FTD patients and validate our automated method of analyzing FTD patients' speech.

Identifiants

pubmed: 33640853
pii: S0010-9452(21)00037-X
doi: 10.1016/j.cortex.2021.01.012
pmc: PMC8044033
mid: NIHMS1671060
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

215-231

Subventions

Organisme : NIA NIH HHS
ID : P01 AG017586
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG052943
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG066597
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS109260
Pays : United States
Organisme : NIA NIH HHS
ID : K99 AG056054
Pays : United States
Organisme : NIA NIH HHS
ID : R00 AG056054
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC013063
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG054519
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS088341
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

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Auteurs

Sunghye Cho (S)

Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: csunghye@ldc.upenn.edu.

Naomi Nevler (N)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.

Sharon Ash (S)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.

Sanjana Shellikeri (S)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.

David J Irwin (DJ)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.

Lauren Massimo (L)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.

Katya Rascovsky (K)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.

Christopher Olm (C)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology and Penn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, USA.

Murray Grossman (M)

Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.

Mark Liberman (M)

Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA.

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