Literature DB >> 28375076

Intranetwork and internetwork connectivity in patients with Alzheimer disease and the association with cerebrospinal fluid biomarker levels.

Marina Weiler1, Brunno Machado de Campos1, Camila Vieira de Ligo Teixeira1, Raphael Fernandes Casseb1, Ana Flávia Mac Knight Carletti-Cassani1, Jéssica Elias Vicentini1, Thamires Naela Cardoso Magalhães1, Leda Leme Talib1, Orestes Vicente Forlenza1, Marcio Luiz Figueredo Balthazar1.   

Abstract

BACKGROUND: In the last decade, many studies have reported abnormal connectivity within the default mode network (DMN) in patients with Alzheimer disease. Few studies, however, have investigated other networks and their association with pathophysiological proteins obtained from cerebrospinal fluid (CSF).
METHODS: We performed 3 T imaging in patients with mild Alzheimer disease, patients with amnestic mild cognitive impairment (aMCI) and healthy controls, and we collected CSF samples from the patients with aMCI and mild Alzheimer disease. We analyzed 57 regions from 8 networks. Additionally, we performed correlation tests to investigate possible associations between the networks' functional connectivity and the protein levels obtained from the CSF of patients with aMCI and Alzheimer disease.
RESULTS: Our sample included 41 patients with Alzheimer disease, 35 with aMCI and 48 controls. We found that the main connectivity abnormalities in those with Alzheimer disease occurred between the DMN and task-positive networks: these patients presented not only a decreased anticorrelation between some regions, but also an inversion of the correlation signal (positive correlation instead of anticorrelation). Those with aMCI did not present statistically different connectivity from patients with Alzheimer disease or controls. Abnormal levels of CSF proteins were associated with functional disconnectivity between several regions in both the aMCI and mild Alzheimer disease groups, extending well beyond the DMN or temporal areas. LIMITATIONS: The presented data are cross-sectional in nature, and our findings are dependent on the choice of seed regions used.
CONCLUSION: We found that the main functional connectivity abnormalities occur between the DMN and task-positive networks and that the pathological levels of CSF biomarkers correlate with functional connectivity disruption in patients with Alzheimer disease.

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Year:  2017        PMID: 28375076      PMCID: PMC5662458          DOI: 10.1503/jpn.160190

Source DB:  PubMed          Journal:  J Psychiatry Neurosci        ISSN: 1180-4882            Impact factor:   6.186


  41 in total

Review 1.  The role of default network deactivation in cognition and disease.

Authors:  Alan Anticevic; Michael W Cole; John D Murray; Philip R Corlett; Xiao-Jing Wang; John H Krystal
Journal:  Trends Cogn Sci       Date:  2012-11-08       Impact factor: 20.229

2.  Regional amyloid burden and intrinsic connectivity networks in cognitively normal elderly subjects.

Authors:  Hyun Kook Lim; Robert Nebes; Beth Snitz; Ann Cohen; Chester Mathis; Julie Price; Lisa Weissfeld; William Klunk; Howard J Aizenstein
Journal:  Brain       Date:  2014-09-29       Impact factor: 13.501

3.  Simultaneous measurement of beta-amyloid(1-42), total tau, and phosphorylated tau (Thr181) in cerebrospinal fluid by the xMAP technology.

Authors:  Annika Olsson; Hugo Vanderstichele; Niels Andreasen; Geert De Meyer; Anders Wallin; Björn Holmberg; Lars Rosengren; Eugeen Vanmechelen; Kaj Blennow
Journal:  Clin Chem       Date:  2004-11-24       Impact factor: 8.327

4.  Hippocampal and entorhinal atrophy in mild cognitive impairment: prediction of Alzheimer disease.

Authors:  D P Devanand; G Pradhaban; X Liu; A Khandji; S De Santi; S Segal; H Rusinek; G H Pelton; L S Honig; R Mayeux; Y Stern; M H Tabert; M J de Leon
Journal:  Neurology       Date:  2007-03-13       Impact factor: 9.910

5.  Cerebrospinal fluid levels of total-tau, phospho-tau and A beta 42 predicts development of Alzheimer's disease in patients with mild cognitive impairment.

Authors:  Niels Andreasen; Eugeen Vanmechelen; Hugo Vanderstichele; Pia Davidsson; Kaj Blennow
Journal:  Acta Neurol Scand Suppl       Date:  2003

6.  Loss of intranetwork and internetwork resting state functional connections with Alzheimer's disease progression.

Authors:  Mathew R Brier; Jewell B Thomas; Abraham Z Snyder; Tammie L Benzinger; Dongyang Zhang; Marcus E Raichle; David M Holtzman; John C Morris; Beau M Ances
Journal:  J Neurosci       Date:  2012-06-27       Impact factor: 6.167

7.  MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging.

Authors:  F Fazekas; J B Chawluk; A Alavi; H I Hurtig; R A Zimmerman
Journal:  AJR Am J Roentgenol       Date:  1987-08       Impact factor: 3.959

8.  The impact of cognitive reserve on brain functional connectivity in Alzheimer's disease.

Authors:  Marco Bozzali; Claire Dowling; Laura Serra; Barbara Spanò; Mario Torso; Camillo Marra; Diana Castelli; Nicholas G Dowell; Giacomo Koch; Carlo Caltagirone; Mara Cercignani
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

9.  Ratio of Aβ42/P-tau181p in CSF is associated with aberrant default mode network in AD.

Authors:  Xiaozhen Li; Tie-Qiang Li; Niels Andreasen; Maria Kristoffersen Wiberg; Eric Westman; Lars-Olof Wahlund
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

10.  Large-scale brain networks are distinctly affected in right and left mesial temporal lobe epilepsy.

Authors:  Brunno Machado de Campos; Ana Carolina Coan; Clarissa Lin Yasuda; Raphael Fernandes Casseb; Fernando Cendes
Journal:  Hum Brain Mapp       Date:  2016-05-02       Impact factor: 5.038

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  4 in total

1.  Default Mode Network Complexity and Cognitive Decline in Mild Alzheimer's Disease.

Authors:  Matthias Grieder; Danny J J Wang; Thomas Dierks; Lars-Olof Wahlund; Kay Jann
Journal:  Front Neurosci       Date:  2018-10-23       Impact factor: 4.677

Review 2.  Neuroimaging Research on Dementia in Brazil in the Last Decade: Scientometric Analysis, Challenges, and Peculiarities.

Authors:  Liara Rizzi; Ítalo Karmann Aventurato; Marcio L F Balthazar
Journal:  Front Neurol       Date:  2021-03-15       Impact factor: 4.003

Review 3.  Structural Connectivity in Down Syndrome and Alzheimer's Disease.

Authors:  Fedal Saini; Flavio Dell'Acqua; Andre Strydom
Journal:  Front Neurosci       Date:  2022-07-22       Impact factor: 5.152

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

  4 in total

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