ArticleNeuroImage2011
Dimensionality estimation for optimal detection of functional networks in BOLD fMRI data.
Article in NeuroImage, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Reproducibility in Matrix and Tensor Decompositions: Focus on Model Match, Interpretability, and Uniqueness.IEEE signal processing magazine · 2022Article
- Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics.Frontiers in neuroscience · 2021Article
- Resolution-based spectral clustering for brain parcellation using functional MRI.Journal of neuroscience methods · 2020Article
- A method to compare the discriminatory power of data-driven methods: Application to ICA and IVA.Journal of neuroscience methods · 2019Article
- Review
- Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia.IEEE transactions on medical imaging · 2017Article
- Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding.Frontiers in neuroscience · 2017Article
- An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI.PloS one · 2015Article
- Article
- Comparing within-subject classification and regularization methods in fMRI for large and small sample sizes.Human brain mapping · 2014Article
- Increased insula coactivation with salience networks in insomnia.Biological psychology · 2014Article
- Addictions and Personality Traits: Impulsivity and Related Constructs.Current behavioral neuroscience reports · 2014Article
- Dimensionality of brain networks linked to life-long individual differences in self-control.Nature communications · 2013Article
- Age differences in the intrinsic functional connectivity of default network subsystems.Frontiers in aging neuroscience · 2013Article
- Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods.Human brain mapping · 2012Article
- Capturing inter-subject variability with group independent component analysis of fMRI data: a simulation study.NeuroImage · 2012Article
- SimTB, a simulation toolbox for fMRI data under a model of spatiotemporal separability.NeuroImage · 2012Article
- Functional subdivision of group-ICA results of fMRI data collected during cinema viewing.PloS one · 2012Article
- Article
- Data-driven optimization and evaluation of 2D EPI and 3D PRESTO for BOLD fMRI at 7 Tesla: I. Focal coverage.NeuroImage · 2011Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Estimation of the intrinsic dimensionality of fMRI data is an important part of data analysis that helps to separate the signal of interest from noise. We have studied multiple methods of dimensionality estimation proposed in the literature and used these estimates to select a subset of principal components that was subsequently processed by linear discriminant analysis (LDA). Using simulated multivariate Gaussian data, we show that the dimensionality that optimizes signal detection (in terms of the receiver operating characteristic (ROC) metric) goes through a transition from many dimensions to a single dimension as a function of the signal-to-noise ratio. This transition happens when the loci of activation are organized into a spatial network and the variance of the networked, task-related signals is high enough for the signal to be easily detected in the data. We show that reproducibility of activation maps is a metric that captures this switch in intrinsic dimensionality. Except for reproducibility, all of the methods of dimensionality estimation we considered failed to capture this transition: optimization of Bayesian evidence, minimum description length, supervised and unsupervised LDA prediction, and Stein's unbiased risk estimator. This failure results in sub-optimal ROC performance of LDA in the presence of a spatially distributed network, and may have caused LDA to underperform in many of the reported comparisons in the literature. Using real fMRI data sets, including multi-subject group and within-subject longitudinal analysis we demonstrate the existence of these dimensionality transitions in real data.
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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.