ArticleFrontiers in human neuroscience2013
Applying independent component analysis to clinical FMRI at 7 t.
Article in Frontiers in human neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Theoretical, Technical, and Analytical Foundations of Task-Based and Resting-State Functional Magnetic Resonance Imaging (fMRI)-A Narrative Review.Biomedicines · 2026Review
- 7 T and beyond: toward a synergy between fMRI-based presurgical mapping at ultrahigh magnetic fields, AI, and robotic neurosurgery.European radiology experimental · 2024Review
- Gradual Restraint Habituation for Awake Functional Magnetic Resonance Imaging Combined With a Sparse Imaging Paradigm Reduces Motion Artifacts and Stress Levels in Rodents.Frontiers in neuroscience · 2021Article
- Overarching Principles and Dimensions of the Functional Organization in the Inferior Parietal Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Salience-Default Mode Functional Network Connectivity Linked to Positive and Negative Symptoms of Schizophrenia.Schizophrenia bulletin · 2019Article
- Key clinical benefits of neuroimaging at 7T.NeuroImage · 2018Review
- A method for the dynamic correction of BNeuroImage · 2018Article
- Article
- Functional MRI for Surgery of Gliomas.Current treatment options in neurology · 2017Review
- Robust presurgical functional MRI at 7 T using response consistency.Human brain mapping · 2017Article
- Improving the clinical potential of ultra-high field fMRI using a model-free analysis method based on response consistency.Magma (New York, N.Y.) · 2016Article
- A Hitchhiker's Guide to Functional Magnetic Resonance Imaging.Frontiers in neuroscience · 2016Review
- ICA of fMRI Studies: New Approaches and Cutting Edge Applications.Frontiers in human neuroscience · 2013Article
- Attention shifts the language network reflecting paradigm presentation.Frontiers in human neuroscience · 2013Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Increased BOLD sensitivity at 7 T offers the possibility to increase the reliability of fMRI, but ultra-high field is also associated with an increase in artifacts related to head motion, Nyquist ghosting, and parallel imaging reconstruction errors. In this study, the ability of independent component analysis (ICA) to separate activation from these artifacts was assessed in a 7 T study of neurological patients performing chin and hand motor tasks. ICA was able to isolate primary motor activation with negligible contamination by motion effects. The results of General Linear Model (GLM) analysis of these data were, in contrast, heavily contaminated by motion. Secondary motor areas, basal ganglia, and thalamus involvement were apparent in ICA results, but there was low capability to isolate activation in the same brain regions in the GLM analysis, indicating that ICA was more sensitive as well as more specific. A method was developed to simplify the assessment of the large number of independent components. Task-related activation components could be automatically identified via these intuitive and effective features. These findings demonstrate that ICA is a practical and sensitive analysis approach in high field fMRI studies, particularly where motion is evoked. Promising applications of ICA in clinical fMRI include presurgical planning and the study of pathologies affecting subcortical brain areas.
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Registered trials
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