ArticleNature communications2018
LISA improves statistical analysis for fMRI.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- In Vivo 4D Oxy-Wavelet MRI as a Non-Invasive Biomarker of Brain Mitochondrial Function across the Lifespan.bioRxiv : the preprint server for biology · 2026Article
- The Incremental Cluster Threshold-Free Cluster Enhancement Algorithm for Functional Connectivity Analysis.bioRxiv : the preprint server for biology · 2026Article
- The Regulation of Vasomotor and Cardiorespiratory Pulsations Is Disrupted in Primary Central Nervous System Lymphoma: A Case-Control fMRI Study.Human brain mapping · 2026Article
- Simultaneous confidence regions for image excursion sets: A validation study with applications in fMRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Vasomotor fluctuations are increased in primary central nervous system lymphoma: a case-control study with fast functional MRI.Brain communications · 2025Article
- Seeing more than the Tip of the Iceberg: Approaches to Subthreshold Effects in Functional Magnetic Resonance Imaging of the Brain.Clinical neuroradiology · 2024Review
- Cardiovascular and vasomotor pulsations in the brain and periphery during awake and NREM sleep in a multimodal fMRI study.Frontiers in neuroscience · 2024Article
- Topological cluster statistic (TCS): Toward structural connectivity-guided fMRI cluster enhancement.Network neuroscience (Cambridge, Mass.) · 2024Article
- Geometry-derived statistical significance: A probabilistic framework for detecting true positive findings in MRI data.Brain and behavior · 2023Article
- Heart failure decouples the precuneus in interaction with social cognition and executive functions.Scientific reports · 2023Article
- Functional delta residuals and applications to simultaneous confidence bands of moment based statistics.Journal of multivariate analysis · 2022Article
- Brain-correlates of processing local dependencies within a statistical learning paradigm.Scientific reports · 2022Article
- Lateral prefrontal cortex is a hub for music production from structural rules to movements.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Physiological instability is linked to mortality in primary central nervous system lymphoma: A case-control fMRI study.Human brain mapping · 2022Article
- Reduced Hippocampal-Striatal Interactions during Formation of Durable Episodic Memories in Aging.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Kimesurface Representation and Tensor Linear Modeling of Longitudinal Data.Neural computing & applications · 2022Article
- Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Spectral analysis of physiological brain pulsations affecting the BOLD signal.Human brain mapping · 2021Article
- LayNii: A software suite for layer-fMRI.NeuroImage · 2021Article
- Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters.NeuroImage · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
One of the principal goals in functional magnetic resonance imaging (fMRI) is the detection of local activation in the human brain. However, lack of statistical power and inflated false positive rates have recently been identified as major problems in this regard. Here, we propose a non-parametric and threshold-free framework called LISA to address this demand. It uses a non-linear filter for incorporating spatial context without sacrificing spatial precision. Multiple comparison correction is achieved by controlling the false discovery rate in the filtered maps. Compared to widely used other methods, it shows a boost in statistical power and allows to find small activation areas that have previously evaded detection. The spatial sensitivity of LISA makes it especially suitable for the analysis of high-resolution fMRI data acquired at ultrahigh field (≥7 Tesla).
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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.