Literature DB >> 26180207

Network Disruption and Cerebrospinal Fluid Amyloid-Beta and Phospho-Tau Levels in Mild Cognitive Impairment.

Leonides Canuet1, Sandra Pusil2, María Eugenia López3, Ricardo Bajo3, José Ángel Pineda-Pardo4, Pablo Cuesta5, Gerardo Gálvez6, José María Gaztelu7, Daniel Lourido8, Guillermo García-Ribas8, Fernando Maestú9.   

Abstract

Synaptic dysfunction is a core deficit in Alzheimer's disease, preceding hallmark pathological abnormalities. Resting-state magnetoencephalography (MEG) was used to assess whether functional connectivity patterns, as an index of synaptic dysfunction, are associated with CSF biomarkers [i.e., phospho-tau (p-tau) and amyloid beta (Aβ42) levels]. We studied 12 human subjects diagnosed with mild cognitive impairment due to Alzheimer's disease, comparing those with normal and abnormal CSF levels of the biomarkers. We also evaluated the association between aberrant functional connections and structural connectivity abnormalities, measured with diffusion tensor imaging, as well as the convergent impact of cognitive deficits and CSF variables on network disorganization. One-third of the patients converted to Alzheimer's disease during a follow-up period of 2.5 years. Patients with abnomal CSF p-tau and Aβ42 levels exhibited both reduced and increased functional connectivity affecting limbic structures such as the anterior/posterior cingulate cortex, orbitofrontal cortex, and medial temporal areas in different frequency bands. A reduction in posterior cingulate functional connectivity mediated by p-tau was associated with impaired axonal integrity of the hippocampal cingulum. We noted that several connectivity abnormalities were predicted by CSF biomarkers and cognitive scores. These preliminary results indicate that CSF markers of amyloid deposition and neuronal injury in early Alzheimer's disease associate with a dual pattern of cortical network disruption, affecting key regions of the default mode network and the temporal cortex. MEG is useful to detect early synaptic dysfunction associated with Alzheimer's disease brain pathology in terms of functional network organization. SIGNIFICANCE STATEMENT: In this preliminary study, we used magnetoencephalography and an integrative approach to explore the impact of CSF biomarkers, neuropsychological scores, and white matter structural abnormalities on neural function in mild cognitive impairment. Disruption in functional connectivity between several pairs of cortical regions associated with abnormal levels of biomarkers, cognitive deficits, or with impaired axonal integrity of hippocampal tracts. Amyloid deposition and tau protein-related neuronal injury in early Alzheimer's disease are associated with synaptic dysfunction and a dual pattern of cortical network disorganization (i.e., desynchronization and hypersynchronization) that affects key regions of the default mode network and temporal areas.
Copyright © 2015 the authors 0270-6474/15/3510326-06$15.00/0.

Entities:  

Keywords:  Alzheimer's disease; brain network; functional connectivity; magnetoencephalography; mild cognitive impairment; structural connectivity

Mesh:

Substances:

Year:  2015        PMID: 26180207      PMCID: PMC6605340          DOI: 10.1523/JNEUROSCI.0704-15.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  29 in total

1.  Measuring phase synchrony in brain signals.

Authors:  J P Lachaux; E Rodriguez; J Martinerie; F J Varela
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.

Authors:  Marilyn S Albert; Steven T DeKosky; Dennis Dickson; Bruno Dubois; Howard H Feldman; Nick C Fox; Anthony Gamst; David M Holtzman; William J Jagust; Ronald C Petersen; Peter J Snyder; Maria C Carrillo; Bill Thies; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

Review 3.  Nonlinear multivariate analysis of neurophysiological signals.

Authors:  Ernesto Pereda; Rodrigo Quian Quiroga; Joydeep Bhattacharya
Journal:  Prog Neurobiol       Date:  2005-11-14       Impact factor: 11.685

4.  Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification.

Authors:  Kegang Hua; Jiangyang Zhang; Setsu Wakana; Hangyi Jiang; Xin Li; Daniel S Reich; Peter A Calabresi; James J Pekar; Peter C M van Zijl; Susumu Mori
Journal:  Neuroimage       Date:  2007-08-15       Impact factor: 6.556

5.  Evidence from functional neuroimaging of a compensatory prefrontal network in Alzheimer's disease.

Authors:  Cheryl L Grady; Anthony R McIntosh; Sania Beig; Michelle L Keightley; Hana Burian; Sandra E Black
Journal:  J Neurosci       Date:  2003-02-01       Impact factor: 6.167

6.  Amyloid plaques disrupt resting state default mode network connectivity in cognitively normal elderly.

Authors:  Yvette I Sheline; Marcus E Raichle; Abraham Z Snyder; John C Morris; Denise Head; Suzhi Wang; Mark A Mintun
Journal:  Biol Psychiatry       Date:  2009-10-14       Impact factor: 13.382

Review 7.  CSF markers for Alzheimer's disease: total tau, phospho-tau and Abeta42.

Authors:  Niels Andreasen; Magnus Sjögren; Kaj Blennow
Journal:  World J Biol Psychiatry       Date:  2003-10       Impact factor: 4.132

Review 8.  Use of magnetoencephalography (MEG) to study functional brain networks in neurodegenerative disorders.

Authors:  C J Stam
Journal:  J Neurol Sci       Date:  2009-09-02       Impact factor: 3.181

9.  Brainstorm: a user-friendly application for MEG/EEG analysis.

Authors:  François Tadel; Sylvain Baillet; John C Mosher; Dimitrios Pantazis; Richard M Leahy
Journal:  Comput Intell Neurosci       Date:  2011-04-13

10.  Neuronal dysfunction and disconnection of cortical hubs in non-demented subjects with elevated amyloid burden.

Authors:  Alexander Drzezga; J Alex Becker; Koene R A Van Dijk; Aishwarya Sreenivasan; Tanveer Talukdar; Caroline Sullivan; Aaron P Schultz; Jorge Sepulcre; Deepti Putcha; Doug Greve; Keith A Johnson; Reisa A Sperling
Journal:  Brain       Date:  2011-04-13       Impact factor: 13.501

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  32 in total

1.  Tau and amyloid β proteins distinctively associate to functional network changes in the aging brain.

Authors:  Jorge Sepulcre; Mert R Sabuncu; Quanzheng Li; Georges El Fakhri; Reisa Sperling; Keith A Johnson
Journal:  Alzheimers Dement       Date:  2017-03-30       Impact factor: 21.566

Review 2.  Relationships Between Diffusion Tensor Imaging and Cerebrospinal Fluid Metrics in Early Stages of the Alzheimer's Disease Continuum.

Authors:  Kylie H Alm; Arnold Bakker
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

3.  Unbiased Stereological Analysis of Reactive Astrogliosis to Estimate Age-Associated Cerebral White Matter Injury.

Authors:  David W McNeal; Dieter D Brandner; Xi Gong; Nadia O Postupna; Thomas J Montine; C Dirk Keene; Stephen A Back
Journal:  J Neuropathol Exp Neurol       Date:  2016-05-03       Impact factor: 3.685

4.  Quantitative and semi-quantitative measurements of axonal degeneration in tissue and primary neuron cultures.

Authors:  Andrew Kneynsberg; Timothy J Collier; Fredric P Manfredsson; Nicholas M Kanaan
Journal:  J Neurosci Methods       Date:  2016-03-28       Impact factor: 2.390

5.  MEG biomarker of Alzheimer's disease: Absence of a prefrontal generator during auditory sensory gating.

Authors:  Sanja Josef Golubic; Cheryl J Aine; Julia M Stephen; John C Adair; Janice E Knoefel; Selma Supek
Journal:  Hum Brain Mapp       Date:  2017-07-17       Impact factor: 5.038

6.  Reduced synchrony in alpha oscillations during life predicts post mortem neurofibrillary tangle density in early-onset and atypical Alzheimer's disease.

Authors:  Kamalini G Ranasinghe; Cathrine Petersen; Kiwamu Kudo; Danielle Mizuiri; Katherine P Rankin; Gil D Rabinovici; Maria Luisa Gorno-Tempini; William W Seeley; Salvatore Spina; Bruce L Miller; Keith Vossel; Lea T Grinberg; Srikantan S Nagarajan
Journal:  Alzheimers Dement       Date:  2021-04-21       Impact factor: 21.566

7.  A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks.

Authors:  Mengjia Xu; David Lopez Sanz; Pilar Garces; Fernando Maestu; Quanzheng Li; Dimitrios Pantazis
Journal:  IEEE Trans Biomed Eng       Date:  2021-04-21       Impact factor: 4.538

8.  Changes in Brain Functional and Effective Connectivity After Treatment for Breast Cancer and Implications for Intervention Targets.

Authors:  Nicholas S Phillips; Vikram Rao; Lorie Kmetz; Ruben Vela; Sarah Medick; Kevin Krull; Shelli R Kesler
Journal:  Brain Connect       Date:  2021-09-03

Review 9.  The human connectome in Alzheimer disease - relationship to biomarkers and genetics.

Authors:  Meichen Yu; Olaf Sporns; Andrew J Saykin
Journal:  Nat Rev Neurol       Date:  2021-07-20       Impact factor: 44.711

10.  Distinctive Association of the Functional Connectivity of the Posterior Cingulate Cortex on Memory Performances in Early and Late Amnestic Mild Cognitive Impairment Patients.

Authors:  Dong Woo Kang; Sheng-Min Wang; Yoo Hyun Um; Hae-Ran Na; Nak-Young Kim; Chang Uk Lee; Hyun Kook Lim
Journal:  Front Aging Neurosci       Date:  2021-07-01       Impact factor: 5.750

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