Literature DB >> 23726515

Resting functional connectivity reveals residual functional activity in Alzheimer's disease.

Giovanna Zamboni1, Gordon K Wilcock, Gwenaelle Douaud, Erin Drazich, Ellen McCulloch, Nicola Filippini, Irene Tracey, Jonathan C W Brooks, Stephen M Smith, Mark Jenkinson, Clare E Mackay.   

Abstract

BACKGROUND: Functional magnetic resonance imaging (fMRI) has great potential for measuring mechanisms of functional changes in Alzheimer's disease (AD) and mild cognitive impairment, but task fMRI studies have produced conflicting results, partly due to failure to account for underlying morphological changes and to variations in patients' ability to perform the tasks. Resting fMRI has potential for assessing brain function independently from a task, but greater understanding of how networks of resting functional connectivity relate to the functioning of the brain is needed. We combined resting fMRI and task fMRI to examine the correspondence between these methods in individuals with cognitive impairment.
METHODS: Eighty elderly (25 control subjects, 25 mild cognitive impairment, 30 AD) underwent a combined multimodal magnetic resonance imaging protocol including task fMRI and resting fMRI. Task fMRI data were acquired during the execution of a memory paradigm designed to account for differences in task performance. Structural and physiological confounds were modeled for both fMRI modalities.
RESULTS: Successful recognition was associated with increased task fMRI activation in lateral prefrontal regions in AD relative to control subjects; this overlapped with increased resting fMRI functional connectivity in the same regions.
CONCLUSIONS: Our results show that task fMRI and resting fMRI are sensitive markers of residual ability over the known changes in brain morphology and cognition occurring in AD and suggest that resting fMRI has a potential to measure the effect of new treatments.
Copyright © 2013 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AD; MCI; MRI; functional connectivity; functional magnetic resonance imaging (fMRI); resting fMRI; task fMRI

Mesh:

Year:  2013        PMID: 23726515     DOI: 10.1016/j.biopsych.2013.04.015

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  29 in total

Review 1.  Disruption of resting functional connectivity in Alzheimer's patients and at-risk subjects.

Authors:  Lenka Krajcovicova; Radek Marecek; Michal Mikl; Irena Rektorova
Journal:  Curr Neurol Neurosci Rep       Date:  2014-10       Impact factor: 5.081

2.  Abnormal cortical regions and subsystems in whole brain functional connectivity of mild cognitive impairment and Alzheimer's disease: a preliminary study.

Authors:  Bo Chen
Journal:  Aging Clin Exp Res       Date:  2020-04-10       Impact factor: 3.636

3.  The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects.

Authors:  Erica Balboni; Luca Nocetti; Chiara Carbone; Nicola Dinsdale; Maurilio Genovese; Gabriele Guidi; Marcella Malagoli; Annalisa Chiari; Ana I L Namburete; Mark Jenkinson; Giovanna Zamboni
Journal:  Hum Brain Mapp       Date:  2022-04-04       Impact factor: 5.399

Review 4.  Brain connectivity in neurodegenerative diseases--from phenotype to proteinopathy.

Authors:  Michela Pievani; Nicola Filippini; Martijn P van den Heuvel; Stefano F Cappa; Giovanni B Frisoni
Journal:  Nat Rev Neurol       Date:  2014-10-07       Impact factor: 42.937

5.  Functional connectivity in the basal ganglia network differentiates PD patients from controls.

Authors:  Konrad Szewczyk-Krolikowski; Ricarda A L Menke; Michal Rolinski; Eugene Duff; Gholamreza Salimi-Khorshidi; Nicola Filippini; Giovanna Zamboni; Michele T M Hu; Clare E Mackay
Journal:  Neurology       Date:  2014-06-11       Impact factor: 9.910

6.  Aberrant functional connectivity within the basal ganglia of patients with Parkinson's disease.

Authors:  Michal Rolinski; Ludovica Griffanti; Konrad Szewczyk-Krolikowski; Ricarda A L Menke; Gordon K Wilcock; Nicola Filippini; Giovanna Zamboni; Michele T M Hu; Clare E Mackay
Journal:  Neuroimage Clin       Date:  2015-04-09       Impact factor: 4.881

7.  High-Dimensional ICA Analysis Detects Within-Network Functional Connectivity Damage of Default-Mode and Sensory-Motor Networks in Alzheimer's Disease.

Authors:  Ottavia Dipasquale; Ludovica Griffanti; Mario Clerici; Raffaello Nemni; Giuseppe Baselli; Francesca Baglio
Journal:  Front Hum Neurosci       Date:  2015-02-03       Impact factor: 3.169

8.  Effective artifact removal in resting state fMRI data improves detection of DMN functional connectivity alteration in Alzheimer's disease.

Authors:  Ludovica Griffanti; Ottavia Dipasquale; Maria M Laganà; Raffaello Nemni; Mario Clerici; Stephen M Smith; Giuseppe Baselli; Francesca Baglio
Journal:  Front Hum Neurosci       Date:  2015-08-11       Impact factor: 3.169

9.  Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.

Authors:  Rui Li; Jing Yu; Shouzi Zhang; Feng Bao; Pengyun Wang; Xin Huang; Juan Li
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

10.  Aberrant functional connectivity in dissociable hippocampal networks is associated with deficits in memory.

Authors:  Natalie L Voets; Giovanna Zamboni; Mark G Stokes; Katherine Carpenter; Richard Stacey; Jane E Adcock
Journal:  J Neurosci       Date:  2014-04-02       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.