TY - JOUR
T1 - Local cortical thickness predicts somatosensory gamma oscillations and sensory gating
T2 - A multimodal approach
AU - Proskovec, Amy L.
AU - Spooner, Rachel K.
AU - Wiesman, Alex I.
AU - Wilson, Tony W.
N1 - Funding Information:
This work was supported by the National Institutes of Health [grants R01 MH103220 , R01 MH116782 , R01 MH118013 , P20 GM130447 (TWW); F31 AG055332 (AIW)] and the National Science Foundation [grant # 1539067 (TWW)]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2020 The Authors
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Two largely distinct bodies of research have demonstrated age-related alterations and disease-specific aberrations in both local gamma oscillations and patterns of cortical thickness. However, seldom has the relationship between gamma activity and cortical thickness been investigated. Herein, we combine the spatiotemporal precision of magnetoencephalography (MEG) with high-resolution magnetic resonance imaging and surface-based morphometry to characterize the relationships between somatosensory gamma oscillations and the thickness of the cortical tissue generating the oscillations in 94 healthy adults (age range: 22–72). Specifically, a series of regressions were computed to assess the relationships between thickness of the primary somatosensory cortex (S1), S1 gamma response power, peak gamma frequency, and somatosensory gating of identical stimuli. Our results indicated that increased S1 thickness significantly predicted greater S1 gamma response power, reduced peak gamma frequency, and improved somatosensory gating. Furthermore, peak gamma frequency significantly and partially mediated the relationship between S1 thickness and the magnitude of the S1 gamma response. Finally, advancing age significantly predicted reduced S1 thickness and decreased gating of redundant somatosensory stimuli. Notably, this is the first study to directly link somatosensory gamma oscillations to local cortical thickness. Our results demonstrate a multi-faceted relationship between structure and function, and have important implications for understanding age- and disease-related deficits in basic sensory processing and higher-order inhibitory function.
AB - Two largely distinct bodies of research have demonstrated age-related alterations and disease-specific aberrations in both local gamma oscillations and patterns of cortical thickness. However, seldom has the relationship between gamma activity and cortical thickness been investigated. Herein, we combine the spatiotemporal precision of magnetoencephalography (MEG) with high-resolution magnetic resonance imaging and surface-based morphometry to characterize the relationships between somatosensory gamma oscillations and the thickness of the cortical tissue generating the oscillations in 94 healthy adults (age range: 22–72). Specifically, a series of regressions were computed to assess the relationships between thickness of the primary somatosensory cortex (S1), S1 gamma response power, peak gamma frequency, and somatosensory gating of identical stimuli. Our results indicated that increased S1 thickness significantly predicted greater S1 gamma response power, reduced peak gamma frequency, and improved somatosensory gating. Furthermore, peak gamma frequency significantly and partially mediated the relationship between S1 thickness and the magnitude of the S1 gamma response. Finally, advancing age significantly predicted reduced S1 thickness and decreased gating of redundant somatosensory stimuli. Notably, this is the first study to directly link somatosensory gamma oscillations to local cortical thickness. Our results demonstrate a multi-faceted relationship between structure and function, and have important implications for understanding age- and disease-related deficits in basic sensory processing and higher-order inhibitory function.
KW - Magnetic resonance imaging (MRI)
KW - Magnetoencephalography (MEG)
KW - Paired pulse
KW - Primary somatosensory cortex (S1)
KW - Surface-based morphometry (SBM)
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U2 - 10.1016/j.neuroimage.2020.116749
DO - 10.1016/j.neuroimage.2020.116749
M3 - Article
C2 - 32199953
AN - SCOPUS:85082476974
SN - 1053-8119
VL - 214
JO - NeuroImage
JF - NeuroImage
M1 - 116749
ER -