ArticleNeuroImage2012
MRI patterns of atrophy and hypoperfusion associations across brain regions in frontotemporal dementia.
Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Deep learning approaches to map individual differences in macroscopic neural structure with variations in spatial navigation behavior.Neuropsychologia · 2026Article
- Quantitative Analysis of Retinal Perfusion in Patients with Frontotemporal Dementia Using Optical Coherence Tomography Angiography.Diagnostics (Basel, Switzerland) · 2024Article
- Pathologic burden goes with the flow: MRI perfusion and pathologic burden in frontotemporal lobar degeneration due to tau.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Frontotemporal asymmetry in socioemotional behavior: A pilot study in frontotemporal dementia.Social neuroscience · 2020Article
- Regional cerebral blood flow in opiate dependence relates to substance use and neuropsychological performance.Addiction biology · 2018Article
- A lesion model of envy and Schadenfreude: legal, deservingness and moral dimensions as revealed by neurodegeneration.Brain : a journal of neurology · 2017Article
- Structural and functional brain abnormalities place phenocopy frontotemporal dementia (FTD) in the FTD spectrum.NeuroImage. Clinical · 2016Article
- Comparison of Regional Brain Perfusion Levels in Chronically Smoking and Non-Smoking Adults.International journal of environmental research and public health · 2015Article
- Eigenanatomy: sparse dimensionality reduction for multi-modal medical image analysis.Methods (San Diego, Calif.) · 2015Article
- Decomposing cerebral blood flow MRI into functional and structural components: a non-local approach based on prediction.NeuroImage · 2015Article
- Fusion analysis of first episode depression: where brain shape deformations meet local composition of tissue.NeuroImage. Clinical · 2015Article
- Multimodal MRI-based Imputation of the Aβ+ in Early Mild Cognitive Impairment.Annals of clinical and translational neurology · 2014Article
- Sparse canonical correlation analysis relates network-level atrophy to multivariate cognitive measures in a neurodegenerative population.NeuroImage · 2014Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Magnetic Resonance Imaging (MRI) provides various imaging modes to study the brain. We tested the benefits of a joint analysis of multimodality MRI data in combination with a large-scale analysis that involved simultaneously all image voxels using joint independent components analysis (jICA) and compared the outcome to results using conventional voxel-by-voxel unimodality tests. Specifically, we designed a jICA to decompose multimodality MRI data into independent components that explain joint variations between the image modalities as well as variations across brain regions. We tested the jICA design on structural and perfusion-weighted MRI data from 12 patients diagnosed with behavioral variant frontotemporal dementia (bvFTD) and 12 cognitively normal elderly individuals. While unimodality analyses showed widespread brain atrophy and hypoperfusion in the patients, jICA further revealed two significant joint components of variations between atrophy and hypoperfusion across brain regions. The 1st joint component revealed associated brain atrophy and hypoperfusion predominantly in the right brain hemisphere in behavioral variant frontotemporal dementia, and the 2nd joint component revealed greater atrophy relative to hypoperfusion affecting predominantly the left hemisphere in behavioral variant frontotemporal dementia. The patterns are consistent with the clinical symptoms of behavioral variant frontotemporal dementia that relate to asymmetric compromises of the left and right brain hemispheres. The joint components also revealed that that structural alterations can be associated with physiological alterations in spatially separated but potentially connected brain regions. Finally, jICA outperformed voxel-by-voxel unimodal tests significantly in terms of an effect size, separating the behavioral variant frontotemporal dementia patients from the controls. Taken together, the results demonstrate the benefit of multimodality MRI in conjunction with jICA for mapping neurodegeneration, which may lead ultimately to an improved diagnosis of behavioral variant frontotemporal dementia and other forms of neurodegenerative diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.