Power spectral analysis can determine language laterality from resting-state functional MRI data in healthy controls Journal Article
| Authors: | Ahmed, S. R.; Jenabi, M.; Gene, M.; Moreno, R.; Peck, K. K.; Holodny, A. |
| Article Title: | Power spectral analysis can determine language laterality from resting-state functional MRI data in healthy controls |
| Abstract: | Background and Purpose: Resting-state functional magnetic resonance imaging (rsfMRI) has been proposed as an alternative to task-based fMRI including clinical situations such as preoperative brain tumor planning, due to advantages including ease of performance and time savings. However, one of its drawbacks is the limited ability to accurately lateralize language function. Methods: Using the rsfMRI data of healthy controls, we carried out a power spectra analysis on three regions of interest (ROIs): Broca's area (BA) in the frontal cortex for language, hand motor (HM) area in the primary motor cortex, and the primary visual cortex (V1). Spike removal, motion correction, linear trend removal, and spatial smoothing were applied. Spontaneous low-frequency fluctuations (0.01-0.1 Hz) were filtered to enable functional integration. Results: BA showed greater power on the left hemisphere relative to the right (p =.0055), while HM (p =.1563) and V1 (p =.4681) were not statistically significant. A novel index, termed the power laterality index (PLI), computed to estimate the degree of power lateralization for each brain region, revealed a statistically significant difference between BA and V1 (p <.00001), where V1 was used as a control since the primary visual cortex does not lateralize. Validation studies used to compare PLI to a laterality index computed using phonemic fluency, a task-based, language fMRI paradigm, demonstrated good correlation. Conclusions: The power spectra for BA revealed left language lateralization, which was not replicated in HM or V1. This work demonstrates the feasibility and validity of an ROI-based power spectra analysis on rsfMRI data for language lateralization. © 2023 American Society of Neuroimaging. |
| Keywords: | adult; controlled study; nuclear magnetic resonance imaging; magnetic resonance imaging; validation study; feasibility study; validity; language; functional magnetic resonance imaging; hemispheric dominance; left hemisphere; brain mapping; functional laterality; motion; spectroscopy; brain region; frontal cortex; human experiment; striate cortex; procedures; power spectrum; primary motor cortex; language lateralization; spike; humans; human; male; female; article; broca's area; resting-state fmri; task-based fmri; broca area; fourier power spectrum; power lateralization index |
| Journal Title: | Journal of Neuroimaging |
| Volume: | 33 |
| Issue: | 4 |
| ISSN: | 1051-2284 |
| Publisher: | Wiley Blackwell |
| Date Published: | 2023-07-01 |
| Start Page: | 661 |
| End Page: | 670 |
| Language: | English |
| DOI: | 10.1111/jon.13105 |
| PUBMED: | 37032593 |
| PROVIDER: | scopus |
| PMCID: | PMC10523910 |
| DOI/URL: | |
| Notes: | Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- Source: Scopus |
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