Literature DB >> 18215449

Clock drawing performance and brain morphology in mild cognitive impairment and Alzheimer's disease.

Philipp A Thomann1, Pablo Toro, Vasco Dos Santos, Marco Essig, Johannes Schröder.   

Abstract

The Clock Drawing Test (CDT) is a widely used instrument in the neuropsychological assessment of Alzheimer's disease (AD). As CDT performance necessitates several cognitive functions (e.g., visuospatial and constructional abilities, executive functioning), an interaction of multiple brain regions is likely. Fifty-one subjects with mild cognitive impairment, 23 with AD and 15 healthy controls underwent high-resolution magnetic resonance imaging. Optimized voxel-based morphometry (VBM) was performed to investigate the putative association between CDT performance and gray matter (GM) density throughout the entire brain. In the first step of analysis (p<.001, uncorrected), VBM revealed a reduced GM density in numerous cortical (temporal lobe, frontal lobe, parietal lobe, cerebellum) and subcortical (thalamus, basal ganglia) brain regions to be associated with poorer CDT performance. When corrected for multiple comparisons (p<.01), the associations remained significant predominantly in the left temporal and--less pronounced--the right temporal lobe. VBM demonstrated CDT performance to depend on the integrity of widely distributed cortical and subcortical areas in both brain hemispheres with accentuation in the left-sided temporal lobe region.

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Year:  2008        PMID: 18215449     DOI: 10.1016/j.bandc.2007.11.008

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  9 in total

1.  Visuoconstructional Impairment in Subtypes of Mild Cognitive Impairment.

Authors:  Samrah Ahmed; Laura Brennan; Joel Eppig; Catherine C Price; Melissa Lamar; Lisa Delano-Wood; Katherine J Bangen; Emily C Edmonds; Lindsey Clark; Daniel A Nation; Amy Jak; Rhoda Au; Rodney Swenson; Mark W Bondi; David J Libon
Journal:  Appl Neuropsychol Adult       Date:  2015-09-23       Impact factor: 2.248

2.  Association between cerebral metabolism and Rey-Osterrieth Complex Figure Test performance in Alzheimer's disease.

Authors:  Rebecca J Melrose; Dylan Harwood; Theresa Khoo; Mark Mandelkern; David L Sultzer
Journal:  J Clin Exp Neuropsychol       Date:  2013-02-07       Impact factor: 2.475

3.  Voxel and surface-based topography of memory and executive deficits in mild cognitive impairment and Alzheimer's disease.

Authors:  Kwangsik Nho; Shannon L Risacher; Paul K Crane; Charles DeCarli; M Maria Glymour; Christian Habeck; Sungeun Kim; Grace J Lee; Elizabeth Mormino; Shubhabrata Mukherjee; Li Shen; John D West; Andrew J Saykin
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

4.  Cognitive and connectome properties detectable through individual differences in graphomotor organization.

Authors:  Melissa Lamar; Olusola Ajilore; Alex Leow; Rebecca Charlton; Jamie Cohen; Johnson GadElkarim; Shaolin Yang; Aifeng Zhang; Randall Davis; Dana Penney; David J Libon; Anand Kumar
Journal:  Neuropsychologia       Date:  2016-03-30       Impact factor: 3.139

5.  Cerebellar Grey Matter Volume in Older Persons Is Associated with Worse Cognitive Functioning.

Authors:  A Buhrmann; A M A Brands; J van der Grond; C Schilder; R C van der Mast; N Rius Ottenheim; J C Foster-Dingley; A S Bertens; E van den Berg
Journal:  Cerebellum       Date:  2021-02       Impact factor: 3.847

6.  Intra-individual variability in Alzheimer's disease and cognitive aging: definitions, context, and effect sizes.

Authors:  Rochelle E Tractenberg; Robert H Pietrzak
Journal:  PLoS One       Date:  2011-04-19       Impact factor: 3.240

7.  Altered causal connectivity of resting state brain networks in amnesic MCI.

Authors:  Peipeng Liang; Zhihao Li; Gopikrishna Deshpande; Zhiqun Wang; Xiaoping Hu; Kuncheng Li
Journal:  PLoS One       Date:  2014-03-10       Impact factor: 3.240

8.  Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study).

Authors:  Jing Yuan; Rhoda Au; Cody Karjadi; Ting Fang Ang; Sherral Devine; Sanford Auerbach; Charles DeCarli; David J Libon; Jesse Mez; Honghuang Lin
Journal:  J Med Internet Res       Date:  2022-04-15       Impact factor: 7.076

9.  Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approach.

Authors:  Christian Salvatore; Antonio Cerasa; Petronilla Battista; Maria C Gilardi; Aldo Quattrone; Isabella Castiglioni
Journal:  Front Neurosci       Date:  2015-09-01       Impact factor: 4.677

  9 in total

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