Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study

BackgroundEEG studies have shown that patients with Alzheimer’s disease (AD) have weaker functional connectivity than controls, especially in higher frequency bands. Furthermore, active regions seem more prone to AD pathology. How functional connectivity is affected in AD subgroups of disease severity and how network hubs (highly connected brain areas) change is not known. We compared AD patients with different disease severity and controls in terms of functional connections, hub strength and hub location.MethodsWe studied routine 21-channel resting-state electroencephalography (EEG) of 318 AD patients (divided into tertiles based on disease severity: mild, moderate and severe AD) and 133 age-matched controls. Functional connectivity between EEG channels was estimated with the Phase Lag Index (PLI). From the PLI-based connectivity matrix, the minimum spanning tree (MST) was derived. For each node (EEG channel) in the MST, the betweenness centrality (BC) was computed, a measure to quantify the relative importance of a node within the network. Then we derived color-coded head plots based on BC values and calculated the center of mass (the exact middle had x and y values of 0). A shifting of the hub locations was defined as a shift of the center of mass on the y-axis across groups. Multivariate general linear models with PLI or BC values as dependent variables and the groups as continuous variables were used in the five conventional frequency bands.ResultsWe found that functional connectivity decreases with increasing disease severity in the alpha band. All, except for posterior, regions showed increasing BC values with increasing disease severity. The center of mass shifted from posterior to more anterior regions with increasing disease severity in the higher frequency bands, indicating a loss of relative functional importance of the posterior brain regions.ConclusionsIn conclusion, we observed decreasing functional connectivity in the posterior regions, together with a shifted hub location from posterior to central regions with increasing AD severity. Relative hub strength decreases in posterior regions while other regions show a relative rise with increasing AD severity, which is in accordance with the activity-dependent degeneration theory. Our results indicate that hubs are disproportionally affected in AD.

[1]  Daniel L. Rubin,et al.  Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease , 2008, PLoS Comput. Biol..

[2]  Rachel L. Mistur,et al.  FDG-PET changes in brain glucose metabolism from normal cognition to pathologically verified Alzheimer’s disease , 2009, European Journal of Nuclear Medicine and Molecular Imaging.

[3]  S. Rombouts,et al.  Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity , 2010, PloS one.

[4]  B. W van Dijk,et al.  Magnetoencephalographic analysis of cortical activity in Alzheimer's disease: a pilot study , 2000, Clinical Neurophysiology.

[5]  Keith A. Johnson,et al.  Functional Alterations in Memory Networks in Early Alzheimer’s Disease , 2010, NeuroMolecular Medicine.

[6]  Benjamin J. Shannon,et al.  Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory , 2005, The Journal of Neuroscience.

[7]  C. Stam,et al.  Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources , 2007, Human brain mapping.

[8]  Cornelis J. Stam,et al.  Growing Trees in Child Brains: Graph Theoretical Analysis of Electroencephalography-Derived Minimum Spanning Tree in 5- and 7-Year-Old Children Reflects Brain Maturation , 2013, Brain Connect..

[9]  Cornelis J. Stam,et al.  Disrupted modular brain dynamics reflect cognitive dysfunction in Alzheimer's disease , 2012, NeuroImage.

[10]  C J Stam,et al.  The trees and the forest: Characterization of complex brain networks with minimum spanning trees. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[11]  Cornelis J. Stam,et al.  Young Alzheimer patients show distinct regional changes of oscillatory brain dynamics , 2012, Neurobiology of Aging.

[12]  G. Adler,et al.  EEG coherence in Alzheimer’s dementia , 2003, Journal of Neural Transmission.

[13]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[14]  Frederik Barkhof,et al.  Optimizing patient care and research: the Amsterdam Dementia Cohort. , 2014, Journal of Alzheimer's disease : JAD.

[15]  Mitsuru Kikuchi,et al.  Abnormal functional connectivity in Alzheimer’s disease: intrahemispheric EEG coherence during rest and photic stimulation , 1998, European Archives of Psychiatry and Clinical Neuroscience.

[16]  O. Sporns,et al.  Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.

[17]  Cornelis J. Stam,et al.  Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease , 2006, NeuroImage.

[18]  Cornelis J. Stam,et al.  Activity Dependent Degeneration Explains Hub Vulnerability in Alzheimer's Disease , 2012, PLoS Comput. Biol..

[19]  S. D. Penna,et al.  Cortical rhythms reactivity in AD, LBD and normal subjects: A quantitative MEG study , 2006, Neurobiology of Aging.

[20]  Kuncheng Li,et al.  Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study , 2007, Human brain mapping.

[21]  G. Alexander,et al.  Posterior cingulate glucose metabolism, hippocampal glucose metabolism, and hippocampal volume in cognitively normal, late-middle-aged persons at 3 levels of genetic risk for Alzheimer disease. , 2013, JAMA neurology.

[22]  T. Gasser,et al.  EEG coherence in Alzheimer disease. , 1994, Electroencephalography and clinical neurophysiology.

[23]  S. Rombouts,et al.  Disturbed fluctuations of resting state EEG synchronization in Alzheimer's disease , 2005, Clinical Neurophysiology.

[24]  R. Kahn,et al.  Efficiency of Functional Brain Networks and Intellectual Performance , 2009, The Journal of Neuroscience.

[25]  G. Sandini,et al.  Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. , 2009, Brain : a journal of neurology.

[26]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease , 1984, Neurology.

[27]  N. Foster,et al.  Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease , 1997, Annals of neurology.

[28]  Klaus Lehnertz,et al.  Can spurious indications for phase synchronization due to superimposed signals be avoided? , 2014, Chaos.

[29]  Emily L. Dennis,et al.  Functional Brain Connectivity Using fMRI in Aging and Alzheimer’s Disease , 2014, Neuropsychology Review.

[30]  H. Berendse,et al.  Generalized Synchronization of MEG Recordings in Alzheimer’s Disease: Evidence for Involvement of the Gamma Band , 2002, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[31]  Yong He,et al.  Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease. , 2015, Cerebral cortex.

[32]  J. Kruskal On the shortest spanning subtree of a graph and the traveling salesman problem , 1956 .

[33]  H. D. Waal Understanding heterogeneity in Alzheimer's disease:: A neurophysiological perspective , 2014 .

[34]  C. Stam,et al.  Alzheimer's disease patients not carrying the apolipoprotein E ε4 allele show more severe slowing of oscillatory brain activity , 2013, Neurobiology of Aging.

[35]  C. Jack,et al.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade , 2010, The Lancet Neurology.

[36]  J. Morris,et al.  The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[37]  Jun-Sung Park,et al.  Whole-brain Functional Networks in Cognitively Normal, Mild Cognitive Impairment, and Alzheimer’s Disease , 2013, PloS one.

[38]  J. Martí-Climent,et al.  Brain Glucose Metabolism in Vascular White Matter Disease With Dementia: Differentiation From Alzheimer Disease , 2010, Stroke.

[39]  D. Sandwell BIHARMONIC SPLINE INTERPOLATION OF GEOS-3 AND SEASAT ALTIMETER DATA , 1987 .

[40]  Andreas Daffertshofer,et al.  Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory , 2010, PloS one.

[41]  Katherine E. Prater,et al.  Functional connectivity tracks clinical deterioration in Alzheimer's disease , 2012, Neurobiology of Aging.

[42]  Zhi-jun Zhang,et al.  Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer’s disease , 2009, Behavioural Brain Research.

[43]  E. Bullmore,et al.  The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.

[44]  D O Walter,et al.  Changes in brain functional connectivity in Alzheimer-type and multi-infarct dementia. , 1992, Brain : a journal of neurology.

[45]  E. Whitham,et al.  Scalp electrical recording during paralysis: Quantitative evidence that EEG frequencies above 20Hz are contaminated by EMG , 2007, Clinical Neurophysiology.

[46]  C. Stam Modern network science of neurological disorders , 2014, Nature Reviews Neuroscience.

[47]  Bradley T. Hyman,et al.  The Intersection of Amyloid Beta and Tau at Synapses in Alzheimer’s Disease , 2014, Neuron.

[48]  M. Greicius,et al.  Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.

[49]  Richard S. Frackowiak,et al.  Evolution of source EEG synchronization in early Alzheimer's disease , 2013, Neurobiology of Aging.

[50]  Piet Van Mieghem,et al.  Disruption of Functional Brain Networks in Alzheimer's Disease: What Can We Learn from Graph Spectral Analysis of Resting-State Magnetoencephalography? , 2012, Brain Connect..