Characteristics of the default mode functional connectivity in normal ageing and Alzheimer's disease using resting state fMRI with a combined approach of entropy-based and graph theoretical measurements.

作者: Paule-Joanne Toussaint , Sofiane Maiz , David Coynel , Julien Doyon , Arnaud Messé

DOI: 10.1016/J.NEUROIMAGE.2014.08.003

关键词: AgeingCognitive declineNeuroscienceDefault mode networkResting state fMRIGraph theoryCognitionHippocampal formationPsychologyHierarchical INTegration

摘要: Cognitive decline in normal ageing and Alzheimer's disease (AD) emerges from functional disruption the coordination of large-scale brain systems sustaining cognition. Integrity these can be examined by correlation methods based on analysis resting state magnetic resonance imaging (fMRI). Here we investigate connectivity within default mode network (DMN) AD using fMRI. Images young elderly controls, patients with were processed spatial independent component to identify DMN. Functional was quantified integration indices derived graph theory. Four DMN sub-systems identified: Frontal (medial superior), parietal (precuneus-posterior cingulate, lateral parietal), temporal temporal), hippocampal (bilateral). There a decrease antero-posterior interactions (lower global efficiency), but increased frontal (higher local clustering) compared controls. This decreased more pronounced particularly precuneus-posterior cingulate region. Conjoint knowledge measures same data helps interpretation results, as comprehension one measure improves understanding other. The approach allows for complete characterisation changes could applied other networks different pathologies.

参考文章(52)
Lisa Mosconi, Brain glucose metabolism in the early and specific diagnosis of Alzheimer's disease. FDG-PET studies in MCI and AD. European Journal of Nuclear Medicine and Molecular Imaging. ,vol. 32, pp. 486- 510 ,(2005) , 10.1007/S00259-005-1762-7
Michael Sharman, Romain Valabregue, Vincent Perlbarg, Linda Marrakchi-Kacem, Marie Vidailhet, Habib Benali, Alexis Brice, Stephane Lehéricy, Parkinson's disease patients show reduced cortical-subcortical sensorimotor connectivity. Movement Disorders. ,vol. 28, pp. 447- 454 ,(2013) , 10.1002/MDS.25255
Stuart M Fogel, Genevieve Albouy, Catherine Vien, Romana Popovicci, Bradley R King, Rick Hoge, Saad Jbabdi, Habib Benali, Avi Karni, Pierre Maquet, Julie Carrier, Julien Doyon, None, fMRI and sleep correlates of the age-related impairment in motor memory consolidation. Human Brain Mapping. ,vol. 35, pp. 3625- 3645 ,(2014) , 10.1002/HBM.22426
M. A. Mintun, G. N. LaRossa, Y. I. Sheline, C. S. Dence, S. Y. Lee, R. H. Mach, W. E. Klunk, C. A. Mathis, S. T. DeKosky, J. C. Morris, [11C]PIB in a nondemented population: potential antecedent marker of Alzheimer disease. Neurology. ,vol. 67, pp. 446- 452 ,(2006) , 10.1212/01.WNL.0000228230.26044.A4
H ZHANG, S WANG, J XING, B LIU, Z MA, M YANG, Z ZHANG, G TENG, Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer's disease. Behavioural Brain Research. ,vol. 197, pp. 103- 108 ,(2009) , 10.1016/J.BBR.2008.08.012
Sophie Achard, Raymond Salvador, Brandon Whitcher, John Suckling, ED Bullmore, A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs The Journal of Neuroscience. ,vol. 26, pp. 63- 72 ,(2006) , 10.1523/JNEUROSCI.3874-05.2006
Jessica R. Andrews-Hanna, Jay S. Reidler, Jorge Sepulcre, Renee Poulin, Randy L. Buckner, Functional-Anatomic Fractionation of the Brain's Default Network Neuron. ,vol. 65, pp. 550- 562 ,(2010) , 10.1016/J.NEURON.2010.02.005
Ed Bullmore, Olaf Sporns, Complex brain networks: graph theoretical analysis of structural and functional systems Nature Reviews Neuroscience. ,vol. 10, pp. 186- 198 ,(2009) , 10.1038/NRN2575
Fabrizio Esposito, Tommaso Scarabino, Aapo Hyvarinen, Johan Himberg, Elia Formisano, Silvia Comani, Gioacchino Tedeschi, Rainer Goebel, Erich Seifritz, Francesco Di Salle, Independent component analysis of fMRI group studies by self-organizing clustering NeuroImage. ,vol. 25, pp. 193- 205 ,(2005) , 10.1016/J.NEUROIMAGE.2004.10.042