Literature DB >> 26107318

Neuropsychological tests for predicting cognitive decline in older adults.

Kimberly M Baerresen1,2, Karen J Miller1, Eric R Hanson3, Justin S Miller4, Richelin V Dye1, Richard E Hartman3, David Vermeersch3, Gary W Small1.   

Abstract

AIM: To determine neuropsychological tests likely to predict cognitive decline.
METHODS: A sample of nonconverters (n = 106) was compared with those who declined in cognitive status (n = 24). Significant univariate logistic regression prediction models were used to create multivariate logistic regression models to predict decline based on initial neuropsychological testing.
RESULTS: Rey-Osterrieth Complex Figure Test (RCFT) Retention predicted conversion to mild cognitive impairment (MCI) while baseline Buschke Delay predicted conversion to Alzheimer's disease (AD). Due to group sample size differences, additional analyses were conducted using a subsample of demographically matched nonconverters. Analyses indicated RCFT Retention predicted conversion to MCI and AD, and Buschke Delay predicted conversion to AD.
CONCLUSION: Results suggest RCFT Retention and Buschke Delay may be useful in predicting cognitive decline.

Entities:  

Keywords:  Alzheimer's disease; cognitive decline; conversion; memory disorder; mild cognitive impairment

Mesh:

Year:  2015        PMID: 26107318      PMCID: PMC4511118          DOI: 10.2217/nmt.15.7

Source DB:  PubMed          Journal:  Neurodegener Dis Manag        ISSN: 1758-2024


  54 in total

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2.  Combined 99mTc-ECD SPECT and neuropsychological studies in MCI for the assessment of conversion to AD.

Authors:  B Borroni; D Anchisi; B Paghera; B Vicini; N Kerrouche; V Garibotto; A Terzi; L A Vignolo; M Di Luca; R Giubbini; A Padovani; D Perani
Journal:  Neurobiol Aging       Date:  2005-03-24       Impact factor: 4.673

3.  Impaired digit span can predict further cognitive decline in older people with subjective memory complaint: a preliminary result.

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Journal:  Aging Ment Health       Date:  2011-04       Impact factor: 3.658

4.  The memory fitness program: cognitive effects of a healthy aging intervention.

Authors:  Karen J Miller; Prabha Siddarth; Jean M Gaines; John M Parrish; Linda M Ercoli; Katherine Marx; Judah Ronch; Barbara Pilgram; Kasey Burke; Nancy Barczak; Bridget Babcock; Gary W Small
Journal:  Am J Geriatr Psychiatry       Date:  2012-06       Impact factor: 4.105

5.  The Semantic Object Retrieval Test (SORT) in amnestic mild cognitive impairment.

Authors:  Michael A Kraut; Barbara Cherry; Jeffery A Pitcock; Raksha Anand; Juan Li; Lindsey Vestal; Victor W Henderson; John Hart
Journal:  Cogn Behav Neurol       Date:  2007-03       Impact factor: 1.600

6.  2014 Alzheimer's disease facts and figures.

Authors: 
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7.  Prevalence and classification of mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 1.

Authors:  Oscar L Lopez; William J Jagust; Steven T DeKosky; James T Becker; Annette Fitzpatrick; Corinne Dulberg; John Breitner; Constantine Lyketsos; Beverly Jones; Claudia Kawas; Michelle Carlson; Lewis H Kuller
Journal:  Arch Neurol       Date:  2003-10

8.  Lexical and semantic fluency discrepancy scores in aMCI and early Alzheimer's disease.

Authors:  Jane A Lonie; Lucie L Herrmann; Kevin M Tierney; Claire Donaghey; Ronan O'Carroll; Andrew Lee; Klaus P Ebmeier
Journal:  J Neuropsychol       Date:  2009-03       Impact factor: 2.864

9.  Semantic knowledge in mild cognitive impairment and mild Alzheimer's disease.

Authors:  Anna-Lynne R Adlam; Sasha Bozeat; Robert Arnold; Peter Watson; John R Hodges
Journal:  Cortex       Date:  2006-07       Impact factor: 4.027

10.  Mild cognitive impairment: applicability of research criteria in a memory clinic and characterization of cognitive profile.

Authors:  Suvarna Alladi; Robert Arnold; Joanna Mitchell; Peter J Nestor; John R Hodges
Journal:  Psychol Med       Date:  2006-01-23       Impact factor: 7.723

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  5 in total

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Authors:  Elan D Louis; Jillian L Joyce; Stephanie Cosentino
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2.  Using multivariate base rates of low scores to understand early cognitive declines on the uniform data set 3.0 Neuropsychological Battery.

Authors:  Andrew M Kiselica; Troy A Webber; Jared F Benge
Journal:  Neuropsychology       Date:  2020-04-27       Impact factor: 3.295

Review 3.  Evaluation of Available Cognitive Tools Used to Measure Mild Cognitive Decline: A Scoping Review.

Authors:  Chian Thong Chun; Kirsty Seward; Amanda Patterson; Alice Melton; Lesley MacDonald-Wicks
Journal:  Nutrients       Date:  2021-11-08       Impact factor: 5.717

4.  Prediction of Cognitive Decline in Temporal Lobe Epilepsy and Mild Cognitive Impairment by EEG, MRI, and Neuropsychology.

Authors:  Yvonne Höller; Kevin H G Butz; Aljoscha C Thomschewski; Elisabeth V Schmid; Christoph D Hofer; Andreas Uhl; Arne C Bathke; Wolfgang Staffen; Raffaele Nardone; Fabian Schwimmbeck; Markus Leitinger; Giorgi Kuchukhidze; Marlene Derner; Jürgen Fell; Eugen Trinka
Journal:  Comput Intell Neurosci       Date:  2020-05-20

5.  Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.

Authors:  Min Ju Kang; Sang Yun Kim; Duk L Na; Byeong C Kim; Dong Won Yang; Eun-Joo Kim; Hae Ri Na; Hyun Jeong Han; Jae-Hong Lee; Jong Hun Kim; Kee Hyung Park; Kyung Won Park; Seol-Heui Han; Seong Yoon Kim; Soo Jin Yoon; Bora Yoon; Sang Won Seo; So Young Moon; YoungSoon Yang; Yong S Shim; Min Jae Baek; Jee Hyang Jeong; Seong Hye Choi; Young Chul Youn
Journal:  BMC Med Inform Decis Mak       Date:  2019-11-21       Impact factor: 2.796

  5 in total

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