Increased spatial granularity of left brain activation and unique age/gender signatures: a 4D frequency domain approach to cerebral lateralization at rest.
Cerebral lateralization is a well-studied topic. However, most of the research to date in functional magnetic resonance imaging (fMRI) has been carried out on hemodynamic fluctuations of voxels, networks, or regions of interest (ROIs). For example, cerebral differences can be revealed by comparing the temporal activation of an ROI in one hemisphere with the corresponding homotopic region in the other hemisphere. While this approach can reveal significant information about cerebral organization, it does not provide information about the full spatiotemporal organization of the hemispheres. The cerebral differences revealed in literature suggest that hemispheres have different spatiotemporal organization in the resting state. In this study, we evaluate cerebral lateralization in the 4D spatiotemporal frequency domain to compare the hemispheres in the context of general activation patterns at different spatial and temporal scales. We use a gender-balanced resting fMRI dataset comprising over 600 healthy subjects ranging in age from 12 to 71, that have previously been studied with a network specific voxel-wise and global analysis of lateralization (Agcaoglu, et al. NeuroImage, 2014). Our analysis elucidates significant differences in the spatiotemporal organization of brain activity between hemispheres, and generally more spatiotemporal fluctuation in the left hemisphere especially in the high spatial frequency bands, and more power in the right hemisphere in the low and middle spatial frequencies. Importantly, the identified effects are not visible in the context of a typical assessment of voxelwise, regional, or even global laterality, thus our study highlights the value of 4D spatiotemporal frequency domain analyses as a complementary and powerful tool for studying brain function.
Mind Research Network, 1001 Yale Blvd. NE, Albuquerque, NM, 87106, USA. oagcaoglu@mrn.org.|Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA. oagcaoglu@mrn.org.
O
O
Agcaoglu
Mind Research Network, 1001 Yale Blvd. NE, Albuquerque, NM, 87106, USA.
R
R
Miller
Mind Research Network, 1001 Yale Blvd. NE, Albuquerque, NM, 87106, USA.|University of New Mexico Health Science Center, Albuquerque, NM, USA.
A R
AR
Mayer
Department Biological and Medical Psychology, University of Bergen, Bergen, Norway.
K
K
Hugdahl
Mind Research Network, 1001 Yale Blvd. NE, Albuquerque, NM, 87106, USA.|Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA.
V D
VD
Calhoun
D000293:Adolescent; D000328:Adult; D000368:Aged; D000375:Aging / Q000502:physiology*; D001921:Brain / Q000000981:diagnostic imaging / Q000254:growth & development* / Q000502:physiology*; D001931:Brain Mapping; D002648:Child; D066264:Datasets as Topic; D005260:Female; D007839:Functional Laterality / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D012146:Rest; D012727:Sex Characteristics; D055815:Young Adult
4D Fourier transform; Aging; Frequency domain; Gender differences; Laterality; Resting state