Abstract
Most previous imaging studies have used traditional Pearson correlation analysis to construct brain networks. This approach fails to adequately and completely account for the interaction between adjacent brain regions. In this study, we used the L1-norm linear regression model to test the small-world attributes of the brain networks of three groups of patients, namely, those with mild cognitive impairment (MCI), Alzheimer's disease (AD), and healthy controls (HCs); we attempted to identify the method that may detect minor differences in MCI and AD patients. Twenty-four AD patients, 33 MCI patients, and 27 HC elderly subjects were subjected to functional MRI (fMRI). We applied traditional Pearson correlation and the L1-norm to construct the brain networks and then tested the small-world attributes by calculating the following parameters: clustering coefficient (Cp), path length (Lp), global efficiency (Eg), and local efficiency (Eloc). As expected, L1 could detect slight changes, mainly in MCI patients expressing higher Cp and Eloc; however, no statistical differences were found between MCI patients and HCs in terms of Cp, Lp, Eg, and Eloc, using Pearson correlation. Compared with HCs, AD patients expressed a lower Cp, Eloc, and...Continue Reading
References
Jun 12, 1998·Nature·D J Watts, S H Strogatz
Mar 20, 2001·Archives of Neurology·J C MorrisL Berg
Nov 3, 2001·Physical Review Letters·V Latora, M Marchiori
Jan 5, 2002·NeuroImage·N Tzourio-MazoyerM Joliot
Apr 24, 2002·NeuroImage·Martin A KochMargret Hund-Georgiadis
Jul 31, 2003·Neuropsychology Review·X DelbeuckF Collette
Aug 25, 2004·Journal of Internal Medicine·B WinbladR C Petersen
Feb 9, 2005·Physical Review Letters·Victor M EguíluzA Vania Apkarian
Apr 12, 2005·Biological Psychiatry·Caterina RosanoCameron S Carter
Jan 10, 2006·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Sophie AchardEd Bullmore
Jan 13, 2006·Archives of Neurology·William R MarkesberyDavid R Wekstein
Jun 28, 2008·PLoS Computational Biology·Kaustubh SupekarMichael D Greicius
Oct 28, 2008·Brain : a Journal of Neurology·C J StamP Scheltens
May 22, 2009·The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry·Yong HeAlan Evans
Sep 4, 2009·Science in China. Series C, Life Sciences·YanHui YangNing Zhong
Sep 22, 2009·Brain Research·Feng BaiZhijun Zhang
Apr 3, 2010·Biological Psychiatry·Francis Clément, Sylvie Belleville
May 18, 2010·European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology·Martijn P van den Heuvel, Hilleke E Hulshoff Pol
Aug 7, 2010·NeuroImage·Lixia TianYong He
Sep 8, 2010·NeuroImage·Stephen M SmithMark W Woolrich
Sep 11, 2010·NeuroImage·Marco BozzaliMara Cercignani
Nov 13, 2010·PloS One·Ernesto J Sanz-ArigitaCornelis J Stam
Dec 3, 2010·PLoS Computational Biology·Zhijun YaoUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Dec 17, 2010·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Chun-Yi LoChing-Po Lin
Jan 29, 2011·European Journal of Radiology·Zhiqun WangKuncheng Li
Apr 12, 2011·IEEE Transactions on Medical Imaging·Hyekyoung LeeMoo K Chung
Jun 1, 2011·PloS One·Javier M BuldúStefano Boccaletti
Aug 4, 2011·PloS One·Peipeng LiangKuncheng Li
Sep 13, 2011·NeuroImage·Zengqiang ZhangXi Zhang
Mar 14, 2012·PloS One·Xia LiangYong He
Mar 30, 2012·PloS One·Xiaohu ZhaoPeijun Wang
Jun 15, 2012·Psychiatry Research·Zhenyu LiuJie Tian
Mar 8, 2013·Brain Structure & Function·Chong-Yaw WeeDinggang Shen
Sep 5, 2014·Nature Reviews. Neuroscience·Cornelis J Stam
Jan 1, 2013·ISRN Geriatrics·Yongxia Zhou, Yvonne W Lui
Jun 26, 2015·Current Opinion in Neurology·Yulia Worbe
Sep 16, 2017·Frontiers in Neuroinformatics·Weikai LiDinggang Shen
Dec 7, 2017·Frontiers in Aging Neuroscience·Bin WangHui Zhang
Feb 24, 2018·Frontiers in Neurology·Hao LiuQixiang Lin