Does the resting state connectivity have hemispheric asymmetry? A near-infrared spectroscopy study
| Autor: | Andrei V. Medvedev |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Adolescent Rest Cognitive Neuroscience Inferior frontal gyrus Electroencephalography Brain mapping Article Functional Laterality Lateralization of brain function Hemoglobins Young Adult Neural Pathways Image Processing Computer-Assisted medicine Humans Middle frontal gyrus Prefrontal cortex Analysis of Variance Brain Mapping Spectroscopy Near-Infrared medicine.diagnostic_test Resting state fMRI Functional Neuroimaging Magnetic Resonance Imaging Causality Neurology Data Interpretation Statistical Laterality Female Psychology Neuroscience Algorithms Tomography Optical Coherence |
| Zdroj: | NeuroImage. 85:400-407 |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/j.neuroimage.2013.05.092 |
| Popis: | Near-infrared spectroscopy (NIRS) is a novel technology for low-cost noninvasive brain imaging suitable for use in virtually all subject and patient populations. Numerous studies of brain functional connectivity using fMRI, and recently NIRS, suggest new tools for the assessment of cognitive functions during task performance and the resting state (RS). We analyzed functional connectivity and its possible hemispheric asymmetry measuring coherence of optical signals at low frequencies (0.01-0.1 Hz) in the prefrontal cortex in 13 right-handed (RH) and 2 left-handed (LH) healthy subjects at rest (4-8 min) using a continuous-wave NIRS instrument CW5 (TechEn, Milford, MA). Two optical probes were placed bilaterally over the inferior frontal gyrus (IFG) and the middle frontal gyrus (MFG) using anatomical landmarks of the 10-20 system. As a result, 28 optical channels (14 for each hemisphere) were recorded for changes in oxygenated (HbO) and de-oxygenated (HbR) hemoglobin. Global physiological signals (respiratory and cardiac) were removed using Principal and Independent Component Analyses. Inter-channel coherences for HbO and HbR signals were calculated using Morlet wavelets along with correlation coefficients. Connectivity matrices showed specific patterns of connectivity which was higher within each anatomical region (IFG and MFG) and between hemispheres (e.g., left IFG right IFG) than between IFG and MFG in the same hemisphere. Laterality indexes were calculated as t-values for the ‘left > right’ comparisons of intrinsic connectivity within each regional group of channels in each subject. Regardless of handedness, the group average laterality indexes were negative thus revealing significantly higher connectivity in the right hemisphere in the majority of RH subjects and in both LH subjects. The analysis of Granger Causality between hemispheres has also shown a greater flow of information from the right to the left hemisphere which may point to an important role of the right hemisphere in the resting state. These data encourage further exploration of the NIRS connectivity and its application for the analysis of hemispheric relationships within the functional architecture of the brain. |
| Databáze: | OpenAIRE |
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