ArticleFrontiers in neuroscience2022
A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall.
Article in Frontiers in neuroscience, 2022. 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.
- PsiConnect: Multimodal Neuroimaging of Context-Dependent Brain and Behaviour Dynamics under Psilocybin.Scientific data · 2026Article
- Neural activations and representations during episodic versus semantic memory retrieval.Nature human behaviour · 2026Article
- Brain idiosyncrasy during biological-motion perception is amplified in autistic individuals with intellectual impairment.Journal of neurodevelopmental disorders · 2026Article
- A new fMRI quality metric using multi-echo information: Theory, validation and implications.bioRxiv : the preprint server for biology · 2026Article
- Robust-tedana: An automated denoising pipeline for multi-echo fMRI data.bioRxiv : the preprint server for biology · 2025Article
- Comparing the effect of multi-gradient echo and multi-band fMRI during a semantic task.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Multi-echo versus single-echo EPI sequences for task-fMRI: A comparative study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Processing, evaluating, and understanding FMRI data with afni_proc.py.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Article
- Supramodality does not specify the nature of conceptual representations.Language, cognition and neuroscience · 2024Article
- Harnessing slow event-related fMRI to investigate trial-level brain-behavior relationships during object identification.Frontiers in human neuroscience · 2024Article
- Improved Resting-State Functional MRI Using Multi-Echo Echo-Planar Imaging on a Compact 3T MRI Scanner with High-Performance Gradients.Sensors (Basel, Switzerland) · 2023Article
- Key considerations for child and adolescent MRI data collection.Frontiers in neuroimaging · 2022Article
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5 authors.
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Abstract
Recent years have seen an increase in the use of multi-echo fMRI designs by cognitive neuroscientists. Acquiring multiple echoes allows one to increase contrast-to-noise; reduce signal dropout and thermal noise; and identify nuisance signal components in BOLD data. At the same time, multi-echo acquisitions increase data processing complexity and may incur a cost to the temporal and spatial resolution of the acquired data. Here, we re-examine a multi-echo dataset previously analyzed using multi-echo independent components analysis (ME-ICA) and focused on hippocampal activity during the overtly spoken recall of recent and remote autobiographical memories. The goal of the present series of analyses was to determine if ME-ICA's theoretical denoising benefits might lead to a practical difference in the overall conclusions reached. Compared to single-echo (SE) data, ME-ICA led to qualitatively different findings regarding hippocampal contributions to autobiographical recall: whereas the SE analysis largely failed to reveal hippocampal activity relative to an active baseline, ME-ICA results supported predictions of the Standard Model of Consolidation and a time limited hippocampal involvement. These data provide a practical example of the benefits multi-echo denoising in a naturalistic memory paradigm and demonstrate how they can be used to address long-standing theoretical questions.
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