ArticleFrontiers in human neuroscience2015
Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease.
Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Facial Emotion Recognition Ability May Improve in Alzheimer Disease: A Pilot Study.Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology · 2026Trial
- Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing.Scientific reports · 2017Trial
- Source-space EEG alpha activity reveals brain age gaps due to neurodegeneration and disparity.Communications biology · 2026Article
- Altered functional connectivity is associated with Repeatable Battery for the Assessment of Neuropsychological Status across the dementia spectrum.Journal of the International Neuropsychological Society : JINS · 2026Article
- Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience Focused Models.Brain and behavior · 2025Review
- Disruption of macroscale functional network organisation in patients with frontotemporal dementia.Molecular psychiatry · 2025Article
- Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics.Scientific reports · 2025Article
- Detecting Alzheimer's Disease Stages and Frontotemporal Dementia in Time Courses of Resting-State fMRI Data Using a Machine Learning Approach.Journal of imaging informatics in medicine · 2024Article
- Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.IEEE transactions on neural networks and learning systems · 2024Article
- Functional Organization of Auditory and Reward Systems in Aging.Journal of cognitive neuroscience · 2023Article
- The use of neuroimaging techniques in the early and differential diagnosis of dementia.Molecular psychiatry · 2023Review
- Source space connectomics of neurodegeneration: One-metric approach does not fit all.Neurobiology of disease · 2023Article
- Article
- 𝓗Network neuroscience (Cambridge, Mass.) · 2023Article
- Functional connectivity in behavioral variant frontotemporal dementia.Brain and behavior · 2022Review
- Covariate Assisted Principal regression for covariance matrix outcomes.Biostatistics (Oxford, England) · 2021Article
- Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning.Biomedicines · 2021Review
- Distinct network topology in Alzheimer's disease and behavioral variant frontotemporal dementia.Alzheimer's research & therapy · 2021Article
- Vector Auto-Regressive Deep Neural Network: A Data-Driven Deep Learning-Based Directed Functional Connectivity Estimation Toolbox.Frontiers in neuroscience · 2021Article
- Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome.Scientific reports · 2020Article
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Authors and funding
13 authors.
Funding
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Abstract
introductionAlzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are the most common types of early-onset dementia. Early differentiation between both types of dementia may be challenging due to heterogeneity and overlap of symptoms. Here, we apply resting state functional magnetic resonance imaging (fMRI) to study functional brain connectivity differences between AD and bvFTD.
methodsWe used resting state fMRI data of 31 AD patients, 25 bvFTD patients, and 29 controls from two centers specialized in dementia. We studied functional connectivity throughout the entire brain, applying two different analysis techniques, studying network-to-region and region-to-region connectivity. A general linear model approach was used to study group differences, while controlling for physiological noise, age, gender, study center, and regional gray matter volume.
resultsGiven gray matter differences, we observed decreased network-to-region connectivity in bvFTD between (a) lateral visual cortical network and lateral occipital and cuneal cortex, and (b) auditory system network and angular gyrus. In AD, we found decreased network-to-region connectivity between the dorsal visual stream network and lateral occipital and parietal opercular cortex. Region-to-region connectivity was decreased in bvFTD between superior temporal gyrus and cuneal, supracalcarine, intracalcarine cortex, and lingual gyrus.
conclusionWe showed that the pathophysiology of functional brain connectivity is different between AD and bvFTD. Our findings support the hypothesis that resting state fMRI shows disease-specific functional connectivity differences and is useful to elucidate the pathophysiology of AD and bvFTD. However, the group differences in functional connectivity are less abundant than has been shown in previous studies.
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