Literature DB >> 25748753

Corpus callosum atrophy associated with the degree of cognitive decline in patients with Alzheimer's dementia or mild cognitive impairment: a meta-analysis of the region of interest structural imaging studies.

Xu-Dong Wang1, Ming Ren2, Min-Wei Zhu3, Wen-Peng Gao4, Jun Zhang5, Hong Shen3, Zhi-Guo Lin3, Hong-Lin Feng6, Chang-Jiu Zhao7, Keming Gao8.   

Abstract

Individual structural neuroimaging studies of the corpus callosum (CC) in Alzheimer's disease (AD) and mild cognitive impairment (MCI) with the region of interest (ROI) analysis have yielded inconsistent findings. The aim of this study was to conduct a meta-analysis of structural imaging studies using ROI technique to measure the CC midsagittal area changes in patients with AD or MCI. Databases of PubMed, the Cochrane Library, the ISI Web of Science, and Science Direct from inception to June 2014 were searched with key words "corpus callosum" or "callosal", plus "Alzheimer's disease" or "mild cognitive impairment". Twenty-three studies with 603 patients with AD, 146 with MCI, and 638 healthy controls were included in this meta-analysis. Effect size was used to measure the difference between patients with AD or MCI and healthy controls. Significant callosal atrophy was found in MCI patients with an effect size of -0.36 (95% CI, -0.57 to -0.14; P = 0.001). The degree of the CC atrophy in mild AD was less severe than that in moderate AD with a mean effect size -0.69 (95% CI, -0.89 to -0.49) versus -0.92 (95% CI, -1.16 to -0.69), respectively. Comparing with healthy controls, patients with MCI had atrophy in the anterior portion of the CC (i.e., rostrum and genu). In contrast, patients with AD had atrophy in both anterior and posterior portions (i.e., splenium). These results suggest that callosal atrophy may be related to the degree of cognitive decline in patients with MCI and AD, and it may be used as a biomarker for patients with cognitive deficit even before meeting the criteria for AD.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Corpus callosum; Magnetic resonance imaging; Meta-analysis; Mild cognitive impairment

Mesh:

Year:  2015        PMID: 25748753     DOI: 10.1016/j.jpsychires.2015.02.005

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  5 in total

1.  Comparison of neuropsychiatric symptoms and diffusion tensor imaging correlates among patients with subcortical ischemic vascular disease and Alzheimer's disease.

Authors:  Min-Chien Tu; Wen-Hui Huang; Yen-Hsuan Hsu; Chung-Ping Lo; Jie Fu Deng; Ching-Feng Huang
Journal:  BMC Neurol       Date:  2017-07-28       Impact factor: 2.474

2.  Structural volumetry in NPH diagnostics and treatment-future or dead end?

Authors:  Aleš Vlasák; Petr Skalický; Arnošt Mládek; Jiří Vrána; Vladimír Beneš; Ondřej Bradáč
Journal:  Neurosurg Rev       Date:  2020-01-24       Impact factor: 3.042

Review 3.  Systematic Review of Different Neuroimaging Correlates in Mild Cognitive Impairment and Alzheimer's Disease.

Authors:  Puneet Talwar; Suman Kushwaha; Monali Chaturvedi; Vidur Mahajan
Journal:  Clin Neuroradiol       Date:  2021-07-23       Impact factor: 3.649

4.  The Pathoconnectivity Profile of Alzheimer's Disease: A Morphometric Coalteration Network Analysis.

Authors:  Jordi Manuello; Andrea Nani; Enrico Premi; Barbara Borroni; Tommaso Costa; Karina Tatu; Donato Liloia; Sergio Duca; Franco Cauda
Journal:  Front Neurol       Date:  2018-01-25       Impact factor: 4.003

5.  Automatic Segmentation of Corpus Callosum in Midsagittal Based on Bayesian Inference Consisting of Sparse Representation Error and Multi-Atlas Voting.

Authors:  Gilsoon Park; Kichang Kwak; Sang Won Seo; Jong-Min Lee
Journal:  Front Neurosci       Date:  2018-09-11       Impact factor: 4.677

  5 in total

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