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Predicting cognitive decline in olde...

Hantke, Nathan.

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Predicting cognitive decline in older adults through multi-voxel pattern analysis.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Predicting cognitive decline in older adults through multi-voxel pattern analysis./
Author:	Hantke, Nathan.
Description:	101 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
Contained By:	Dissertation Abstracts International75-07B(E).
Subject:	Psychology, Clinical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3615613
ISBN:	9781303816604

Predicting cognitive decline in older adults through multi-voxel pattern analysis.
Hantke, Nathan.

Predicting cognitive decline in older adults through multi-voxel pattern analysis. - 101 p.

Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.

Thesis (Ph.D.)--Marquette University, 2014.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is associated with cognitive and structural decline beyond what is seen in normal, healthy aging. Functional magnetic resonance imaging (fMRI) research indicates that prior to the onset of measureable cognitive impairment, individuals at-risk for AD demonstrate different patterns of neural activation than individuals at lower risk. Thus, differences in task-activated fMRI may be beneficial in predicting cognitive decline at a "pre-symptomatic" stage.

ISBN: 9781303816604Subjects--Topical Terms:

524864
Psychology, Clinical.

Predicting cognitive decline in older adults through multi-voxel pattern analysis.
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020 $a 9781303816604
035 $a (MiAaPQ)AAI3615613
035 $a AAI3615613
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hantke, Nathan. $3 2104467
245 1 0 $a Predicting cognitive decline in older adults through multi-voxel pattern analysis.
300 $a 101 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
500 $a Adviser: Kristy Nielson.
502 $a Thesis (Ph.D.)--Marquette University, 2014.
520 $a Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is associated with cognitive and structural decline beyond what is seen in normal, healthy aging. Functional magnetic resonance imaging (fMRI) research indicates that prior to the onset of measureable cognitive impairment, individuals at-risk for AD demonstrate different patterns of neural activation than individuals at lower risk. Thus, differences in task-activated fMRI may be beneficial in predicting cognitive decline at a "pre-symptomatic" stage.
520 $a The present study utilizes multi-voxel pattern analysis (MVPA) of baseline fMRI task-related activation to predict cognitive decline, with the hypothesis that famous and non-famous name task activation will discriminate older adults who go on to experience cognitive decline from those who do not. Ninety-nine cognitively intact older adults underwent neuropsychological testing and a semantic memory fMRI task (famous name discrimination). After follow-up neuropsychological testing 18-months later, participants were grouped as "Stable" (n = 65) or "Declining" (n = 34) based on > 1.0 SD decline in performance on cognitive measures. MVPA classification accuracy was 90% for stimulus type (famous and non-famous names), thereby supporting the general approach. Mean MVPA classification accuracy for famous and non-famous names was 83% for both the Stable and Declining groups. Finally, MVPA produced greater than chance classification accuracy of participant groups for both famous name activation (56%) and non-famous name activation (55%) as determined via binomial distribution. The results of the current study suggest that MVPA possesses potential in predicting cognitive decline in older adults.
590 $a School code: 0116.
650 4 $a Psychology, Clinical. $3 524864
650 4 $a Gerontology. $3 533633
650 4 $a Psychology, Psychobiology. $3 1017821
650 4 $a Biology, Neuroscience. $3 1017680
650 4 $a Psychology, Cognitive. $3 1017810
690 $a 0622
690 $a 0351
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690 $a 0633
710 2 $a Marquette University. $b Clinical Psychology. $3 1677973
773 0 $t Dissertation Abstracts International $g 75-07B(E).
790 $a 0116
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3615613