title: Modality-specific spectral dynamics in response to visual and tactile sequential shape information processing tasks: An MEG study using multivariate pattern classification analysis.
abstract: Brain regions that respond to more than one sensory modality are characterized as multisensory regions. Studies on the processing of shape or object information have revealed recruitment of the lateral occipital cortex, posterior parietal cortex, and other regions regardless of input sensory modalities. However, it remains unknown whether such regions show similar (modality-invariant) or different (modality-specific) neural oscillatory dynamics, as recorded using magnetoencephalography (MEG), in response to identical shape information processing tasks delivered to different sensory modalities. Modality-invariant or modality-specific neural oscillatory dynamics indirectly suggest modality-independent or modality-dependent participation of particular brain regions, respectively. Therefore, this study investigated the modality-specificity of neural oscillatory dynamics in the form of spectral power modulation patterns in response to visual and tactile sequential shape-processing tasks that are well-matched in terms of speed and content between the sensory modalities. Task-related changes in spectral power modulation and differences in spectral power modulation between sensory modalities were investigated at source-space (voxel) level, using a multivariate pattern classification (MVPC) approach. Additionally, whole analyses were extended from the voxel level to the independent-component level to take account of signal leakage effects caused by inverse solution. The modality-specific spectral dynamics in multisensory and higher-order brain regions, such as the lateral occipital cortex, posterior parietal cortex, inferior temporal cortex, and other brain regions, showed task-related modulation in response to both sensory modalities. This suggests modality-dependency of such brain regions on the input sensory modality for sequential shape-information processing.
authors.affiliation: Department of Bio and Brain Engineering, Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
authors.forename: Bakul
authors.initials: B
authors.lastname: Gohel
authors.affiliation: Department of Bio and Brain Engineering, Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
authors.forename: Peter
authors.initials: P
authors.lastname: Lee
authors.affiliation: Department of Bio and Brain Engineering, Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. Electronic address: yong@kaist.ac.kr.
authors.forename: Yong
authors.initials: Y
authors.lastname: Jeong
mesh_terms: D000293:Adolescent; D000328:Adult; D001921:Brain / Q000502:physiology*; D058256:Brain Waves; D005260:Female; D005556:Form Perception / Q000502:physiology*; D006801:Humans; D015225:Magnetoencephalography; D008297:Male; D015999:Multivariate Analysis; D009778:Occipital Lobe / Q000502:physiology; D010296:Parietal Lobe / Q000502:physiology; D010363:Pattern Recognition, Automated; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D010812:Physical Stimulation; D012815:Signal Processing, Computer-Assisted; D013702:Temporal Lobe / Q000502:physiology; D055698:Touch Perception / Q000502:physiology*; D055815:Young Adult
keywords: Independent component analysis; Magnetoencephalography; Multivariate pattern classification analysis; Shape-information processing; Spectral dynamics