A computerized technique to assess language use patterns in patients with frontotemporal dementia

Serguei V S Pakhomov, Glenn E. Smith, Susan Marino, Angela Birnbaum, Neill R Graff Radford, Richard John Caselli, Bradley F Boeve, David S Knopman

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Frontotemporal lobar degeneration (FTLD) is a neurodegenerative disorder that affects language. We applied a computerized information-theoretic technique to assess the type and severity of language-related FTLD symptoms. Audio-recorded samples of 48 FTLD patients from three participating medical centers were elicited using the Cookie-Theft picture stimulus. The audio was transcribed and analyzed by calculating two measures: a perplexity index and an out-of-vocabulary (OOV) rate. The perplexity index represents the degree of deviation in word patterns used by FTLD patients compared to patterns of healthy adults. The OOV rate represents the proportion of words used by FTLD patients that were not used by the healthy speakers to describe the stimulus. In this clinically well-characterized cohort, the perplexity index and the OOV rate were sensitive to spontaneous language manifestations of semantic dementia and the distinction between semantic dementia and progressive logopenic aphasia variants of FTLD. Our study not only supports a novel technique for the characterization of language-related symptoms of FTLD in clinical trial settings, it also validates the basis for the clinical diagnosis of semantic dementia as a distinct syndrome.

Original languageEnglish (US)
Pages (from-to)127-144
Number of pages18
JournalJournal of Neurolinguistics
Volume23
Issue number2
DOIs
StatePublished - Mar 2010

Fingerprint

Frontotemporal Lobar Degeneration
Frontotemporal Dementia
dementia
Language
vocabulary
semantics
language
Vocabulary
stimulus
larceny
speech disorder
Theft
Aphasia
Degeneration
Language Use
Neurodegenerative Diseases
Clinical Trials

Keywords

  • Entropy
  • Frontotemporal lobar degeneration
  • Perplexity
  • Semantic dementia
  • Statistical language modeling

ASJC Scopus subject areas

  • Linguistics and Language
  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology

Cite this

A computerized technique to assess language use patterns in patients with frontotemporal dementia. / Pakhomov, Serguei V S; Smith, Glenn E.; Marino, Susan; Birnbaum, Angela; Graff Radford, Neill R; Caselli, Richard John; Boeve, Bradley F; Knopman, David S.

In: Journal of Neurolinguistics, Vol. 23, No. 2, 03.2010, p. 127-144.

Research output: Contribution to journalArticle

@article{d115f0c8a7fb4531a4b57cc8ece51232,
title = "A computerized technique to assess language use patterns in patients with frontotemporal dementia",
abstract = "Frontotemporal lobar degeneration (FTLD) is a neurodegenerative disorder that affects language. We applied a computerized information-theoretic technique to assess the type and severity of language-related FTLD symptoms. Audio-recorded samples of 48 FTLD patients from three participating medical centers were elicited using the Cookie-Theft picture stimulus. The audio was transcribed and analyzed by calculating two measures: a perplexity index and an out-of-vocabulary (OOV) rate. The perplexity index represents the degree of deviation in word patterns used by FTLD patients compared to patterns of healthy adults. The OOV rate represents the proportion of words used by FTLD patients that were not used by the healthy speakers to describe the stimulus. In this clinically well-characterized cohort, the perplexity index and the OOV rate were sensitive to spontaneous language manifestations of semantic dementia and the distinction between semantic dementia and progressive logopenic aphasia variants of FTLD. Our study not only supports a novel technique for the characterization of language-related symptoms of FTLD in clinical trial settings, it also validates the basis for the clinical diagnosis of semantic dementia as a distinct syndrome.",
keywords = "Entropy, Frontotemporal lobar degeneration, Perplexity, Semantic dementia, Statistical language modeling",
author = "Pakhomov, {Serguei V S} and Smith, {Glenn E.} and Susan Marino and Angela Birnbaum and {Graff Radford}, {Neill R} and Caselli, {Richard John} and Boeve, {Bradley F} and Knopman, {David S}",
year = "2010",
month = "3",
doi = "10.1016/j.jneuroling.2009.12.001",
language = "English (US)",
volume = "23",
pages = "127--144",
journal = "Journal of Neurolinguistics",
issn = "0911-6044",
publisher = "Elsevier BV",
number = "2",

}

TY - JOUR

T1 - A computerized technique to assess language use patterns in patients with frontotemporal dementia

AU - Pakhomov, Serguei V S

AU - Smith, Glenn E.

AU - Marino, Susan

AU - Birnbaum, Angela

AU - Graff Radford, Neill R

AU - Caselli, Richard John

AU - Boeve, Bradley F

AU - Knopman, David S

PY - 2010/3

Y1 - 2010/3

N2 - Frontotemporal lobar degeneration (FTLD) is a neurodegenerative disorder that affects language. We applied a computerized information-theoretic technique to assess the type and severity of language-related FTLD symptoms. Audio-recorded samples of 48 FTLD patients from three participating medical centers were elicited using the Cookie-Theft picture stimulus. The audio was transcribed and analyzed by calculating two measures: a perplexity index and an out-of-vocabulary (OOV) rate. The perplexity index represents the degree of deviation in word patterns used by FTLD patients compared to patterns of healthy adults. The OOV rate represents the proportion of words used by FTLD patients that were not used by the healthy speakers to describe the stimulus. In this clinically well-characterized cohort, the perplexity index and the OOV rate were sensitive to spontaneous language manifestations of semantic dementia and the distinction between semantic dementia and progressive logopenic aphasia variants of FTLD. Our study not only supports a novel technique for the characterization of language-related symptoms of FTLD in clinical trial settings, it also validates the basis for the clinical diagnosis of semantic dementia as a distinct syndrome.

AB - Frontotemporal lobar degeneration (FTLD) is a neurodegenerative disorder that affects language. We applied a computerized information-theoretic technique to assess the type and severity of language-related FTLD symptoms. Audio-recorded samples of 48 FTLD patients from three participating medical centers were elicited using the Cookie-Theft picture stimulus. The audio was transcribed and analyzed by calculating two measures: a perplexity index and an out-of-vocabulary (OOV) rate. The perplexity index represents the degree of deviation in word patterns used by FTLD patients compared to patterns of healthy adults. The OOV rate represents the proportion of words used by FTLD patients that were not used by the healthy speakers to describe the stimulus. In this clinically well-characterized cohort, the perplexity index and the OOV rate were sensitive to spontaneous language manifestations of semantic dementia and the distinction between semantic dementia and progressive logopenic aphasia variants of FTLD. Our study not only supports a novel technique for the characterization of language-related symptoms of FTLD in clinical trial settings, it also validates the basis for the clinical diagnosis of semantic dementia as a distinct syndrome.

KW - Entropy

KW - Frontotemporal lobar degeneration

KW - Perplexity

KW - Semantic dementia

KW - Statistical language modeling

UR - http://www.scopus.com/inward/record.url?scp=75149166966&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=75149166966&partnerID=8YFLogxK

U2 - 10.1016/j.jneuroling.2009.12.001

DO - 10.1016/j.jneuroling.2009.12.001

M3 - Article

VL - 23

SP - 127

EP - 144

JO - Journal of Neurolinguistics

JF - Journal of Neurolinguistics

SN - 0911-6044

IS - 2

ER -