Semantic network abnormality predicts rate of cognitive decline in patients with probable Alzheimer's disease

Agnes S. Chan; Nelson Butters; Agnes S. Chan; Nelson Butters; Shannon A. Johnson; David P. Salmon

doi:10.1017/S1355617700000291

Semantic network abnormality predicts rate of cognitive decline in patients with probable Alzheimer's disease

Agnes S. Chan, Nelson Butters, Agnes S. Chan, Nelson Butters, Shannon A. Johnson, David P. Salmon

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50 Citations (Scopus)

Résumé

The present study examined the relationship between rate of cognitive decline in patients with Alzheimer's disease (AD) and the integrity of the network of associations that comprise their semantic knowledge. The integrity of the semantic network of 12 AD patients was determined by comparing their networks to a standard normal control network derived with Pathfinder analysis, a multidimensional graphic analysis technique. A simple linear regression analysis, comparing the degree of semantic network deterioration with rate of cognitive decline as measured by the difference between the Dementia Rating Scale (DRS) scores obtained at the time of the testing of semantic knowledge (Year 1) and one year later (Year 2), was highly significant (r2 =. 84; p <. 001). These results suggest that a sensitive measure of the structural deterioration of semantic knowledge may be useful for predicting the rate of progression of cognitive changes in patients with AD. (JINS, 1995, 1, 297-303.).

Langue d'origine	English
Pages (de-à)	297-303
Nombre de pages	7
Journal	Journal of the International Neuropsychological Society
Volume	1
Numéro de publication	3
DOI	https://doi.org/10.1017/S1355617700000291
Statut de publication	Published - mai 1995
Publié à l'externe	Oui

Note bibliographique

Funding Information:
The authors thank Jody DeLaPena and Kirsten Taylor for help with scheduling and testing subjects. This study was supported in part by funds from the Medical Research Service of the Department of Veterans Affairs, by the Simeon Jacobs Memorial Fund, and by NIMH predoctoral fellowship MH-10609, NIA grant AG-05131, and NIMH grant MH-48819 to the University of California, San Diego.

ASJC Scopus Subject Areas

General Neuroscience
Clinical Psychology
Clinical Neurology
Psychiatry and Mental health

PubMed: MeSH publication types

Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, U.S. Gov't, P.H.S.

ODD de l’ONU

Cette action contribue à la réalisation des objectifs de développement durable suivants

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10.1017/S1355617700000291

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title = "Semantic network abnormality predicts rate of cognitive decline in patients with probable Alzheimer's disease",

abstract = "The present study examined the relationship between rate of cognitive decline in patients with Alzheimer's disease (AD) and the integrity of the network of associations that comprise their semantic knowledge. The integrity of the semantic network of 12 AD patients was determined by comparing their networks to a standard normal control network derived with Pathfinder analysis, a multidimensional graphic analysis technique. A simple linear regression analysis, comparing the degree of semantic network deterioration with rate of cognitive decline as measured by the difference between the Dementia Rating Scale (DRS) scores obtained at the time of the testing of semantic knowledge (Year 1) and one year later (Year 2), was highly significant (r2 =. 84; p <. 001). These results suggest that a sensitive measure of the structural deterioration of semantic knowledge may be useful for predicting the rate of progression of cognitive changes in patients with AD. (JINS, 1995, 1, 297-303.).",

author = "Chan, {Agnes S.} and Nelson Butters and Chan, {Agnes S.} and Nelson Butters and Johnson, {Shannon A.} and Salmon, {David P.}",

note = "Funding Information: The authors thank Jody DeLaPena and Kirsten Taylor for help with scheduling and testing subjects. This study was supported in part by funds from the Medical Research Service of the Department of Veterans Affairs, by the Simeon Jacobs Memorial Fund, and by NIMH predoctoral fellowship MH-10609, NIA grant AG-05131, and NIMH grant MH-48819 to the University of California, San Diego.",

year = "1995",

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doi = "10.1017/S1355617700000291",

language = "English",

volume = "1",

pages = "297--303",

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AU - Chan, Agnes S.

AU - Butters, Nelson

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AU - Butters, Nelson

AU - Johnson, Shannon A.

AU - Salmon, David P.

N1 - Funding Information: The authors thank Jody DeLaPena and Kirsten Taylor for help with scheduling and testing subjects. This study was supported in part by funds from the Medical Research Service of the Department of Veterans Affairs, by the Simeon Jacobs Memorial Fund, and by NIMH predoctoral fellowship MH-10609, NIA grant AG-05131, and NIMH grant MH-48819 to the University of California, San Diego.

PY - 1995/5

Y1 - 1995/5

N2 - The present study examined the relationship between rate of cognitive decline in patients with Alzheimer's disease (AD) and the integrity of the network of associations that comprise their semantic knowledge. The integrity of the semantic network of 12 AD patients was determined by comparing their networks to a standard normal control network derived with Pathfinder analysis, a multidimensional graphic analysis technique. A simple linear regression analysis, comparing the degree of semantic network deterioration with rate of cognitive decline as measured by the difference between the Dementia Rating Scale (DRS) scores obtained at the time of the testing of semantic knowledge (Year 1) and one year later (Year 2), was highly significant (r2 =. 84; p <. 001). These results suggest that a sensitive measure of the structural deterioration of semantic knowledge may be useful for predicting the rate of progression of cognitive changes in patients with AD. (JINS, 1995, 1, 297-303.).

AB - The present study examined the relationship between rate of cognitive decline in patients with Alzheimer's disease (AD) and the integrity of the network of associations that comprise their semantic knowledge. The integrity of the semantic network of 12 AD patients was determined by comparing their networks to a standard normal control network derived with Pathfinder analysis, a multidimensional graphic analysis technique. A simple linear regression analysis, comparing the degree of semantic network deterioration with rate of cognitive decline as measured by the difference between the Dementia Rating Scale (DRS) scores obtained at the time of the testing of semantic knowledge (Year 1) and one year later (Year 2), was highly significant (r2 =. 84; p <. 001). These results suggest that a sensitive measure of the structural deterioration of semantic knowledge may be useful for predicting the rate of progression of cognitive changes in patients with AD. (JINS, 1995, 1, 297-303.).

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Semantic network abnormality predicts rate of cognitive decline in patients with probable Alzheimer's disease

Résumé

Note bibliographique

ASJC Scopus Subject Areas

PubMed: MeSH publication types

ODD de l’ONU

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