ArticleNeuroImage2010
Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk.
Article in NeuroImage, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- DCBAN: A Dynamic Confidence Bayesian Adaptive Network for Reconstructing Visual Images from fMRI Signals.Brain sciences · 2025Article
- Partial Quantile Tensor Regression.Journal of the American Statistical Association · 2024Article
- The expanding horizons of network neuroscience: From description to prediction and control.NeuroImage · 2022Review
- Functional Connectivity Methods and Their Applications in fMRI Data.Entropy (Basel, Switzerland) · 2022Review
- Multiple Brain Networks Mediating Stimulus-Pain Relationships in Humans.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Article
- Tucker Tensor Regression and Neuroimaging Analysis.Statistics in biosciences · 2018Article
- TPRM: TENSOR PARTITION REGRESSION MODELS WITH APPLICATIONS IN IMAGING BIOMARKER DETECTION.The annals of applied statistics · 2018Article
- High-dimensional multivariate mediation with application to neuroimaging data.Biostatistics (Oxford, England) · 2018Article
- The effect of tDCS on functional connectivity in primary progressive aphasia.NeuroImage. Clinical · 2018Article
- Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data.Biostatistics (Oxford, England) · 2017Article
- Regularized matrix regression.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2014Article
- Article
- Tensor Regression with Applications in Neuroimaging Data Analysis.Journal of the American Statistical Association · 2013Article
- Analysis of group ICA-based connectivity measures from fMRI: application to Alzheimer's disease.PloS one · 2012Article
- Article
- Population Value Decomposition, a Framework for the Analysis of Image Populations.Journal of the American Statistical Association · 2011Article
- "The effect of tDCS on functional connectivity in primary progressive aphasia" NeuroImage: Clinical, volume 19 (2018), pages 703-715.NeuroImage. ClinicalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Functional connectivity is the study of correlations in measured neurophysiological signals. Altered functional connectivity has been shown to be associated with a variety of cognitive and memory impairments and dysfunction, including Alzheimer's disease. In this manuscript we use a two-stage application of the singular value decomposition to obtain data driven population-level measures of functional connectivity in functional magnetic resonance imaging (fMRI). The method is computationally simple and amenable to high dimensional fMRI data with large numbers of subjects. Simulation studies suggest the ability of the decomposition methods to recover population brain networks and their associated loadings. We further demonstrate the utility of these decompositions in a functional logistic regression model. The method is applied to a novel fMRI study of Alzheimer's disease risk under a verbal paired associates task. We found an indication of alternative connectivity in clinically asymptomatic at-risk subjects when compared to controls, which was not significant in the light of multiple comparisons adjustment. The relevant brain network loads primarily on the temporal lobe and overlaps significantly with the olfactory areas and temporal poles.
Indexed as
Identifiers
What OpenQuestion holds
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.