Unknown

Dataset Information

0

A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall


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.

SUBMITTER: Gilmore A 

PROVIDER: S-EPMC9081814 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC10849706 | biostudies-literature
| S-EPMC11680730 | biostudies-literature
| S-EPMC6819276 | biostudies-literature
| S-EPMC10705259 | biostudies-literature
| S-EPMC3226869 | biostudies-literature
| S-EPMC8964687 | biostudies-literature
| S-EPMC5448876 | biostudies-other
| S-EPMC5390771 | biostudies-literature
| S-EPMC5170594 | biostudies-literature
| S-EPMC2798036 | biostudies-other