title: Temporal scaling properties and spatial synchronization of spontaneous blood oxygenation level-dependent (BOLD) signal fluctuations in rat sensorimotor network at different levels of isoflurane anesthesia.
abstract: Spontaneous fluctuations in the blood oxygenation level-dependent (BOLD) MRI signal during the resting state are increasingly being studied in healthy and diseased brain in humans and animal models. Yet, the relationship between functional brain status and the characteristics of spontaneous BOLD fluctuations remains poorly understood. In order to obtain more insights into this relationship and, in particular, the effects of anesthesia thereupon, we investigated the spatial and temporal correlations of spontaneous BOLD fluctuations in somatosensory and motor regions of rat brain at different inhalation levels of the frequently applied anesthetic isoflurane. We found that the temporal scaling, characterized by the Hurst exponent (H), showed persistent behavior (H > 0.5) at 0.5-1.0% isoflurane. Furthermore, low-pass-filtered spontaneous BOLD oscillations were correlated significantly in bilateral somatosensory and bilateral motor cortices, reflective of interhemispheric functional connectivity. Under 2.9% isoflurane anesthesia, the temporal scaling characteristics approached those of Gaussian white noise (H = 0.5), the relative amplitude of BOLD low-frequency fluctuations declined, and cross-correlations of these oscillations between functionally connected regions decreased significantly. Loss of interhemispheric functional connectivity at 2.9% isoflurane anesthesia was stronger between bilateral motor regions than between bilateral somatosensory regions, which points to distinct effects of anesthesia on differentially organized neuronal networks. Although we cannot completely rule out a possible contribution from hemodynamic signals with a non-neuronal origin, our results emphasize that spatiotemporal characteristics of spontaneous BOLD fluctuations are related to the brain's specific functional status and network organization, and demonstrate that these are largely preserved under light to mild anesthesia with isoflurane.
authors.affiliation: LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
authors.forename: Kun
authors.initials: K
authors.lastname: Wang
authors.forename: Maurits P A
authors.initials: MP
authors.lastname: van Meer
authors.forename: Kajo
authors.initials: K
authors.lastname: van der Marel
authors.forename: Annette
authors.initials: A
authors.lastname: van der Toorn
authors.forename: Lijuan
authors.initials: L
authors.lastname: Xu
authors.forename: Yingjun
authors.initials: Y
authors.lastname: Liu
authors.forename: Max A
authors.initials: MA
authors.lastname: Viergever
authors.forename: Tianzi
authors.initials: T
authors.lastname: Jiang
authors.forename: Rick M
authors.initials: RM
authors.lastname: Dijkhuizen
mesh_terms: D000758:Anesthesia; D000818:Animals; D001931:Brain Mapping; D007530:Isoflurane / Q000008:administration & dosage / Q000494:pharmacology*; D009415:Nerve Net / Q000187:drug effects / Q000502:physiology; D010100:Oxygen / Q000097:blood*; D051381:Rats; D017208:Rats, Wistar; D013003:Somatosensory Cortex / Q000187:drug effects* / Q000502:physiology*; D013997:Time Factors
chemical_list: D007530:Isoflurane; D010100:Oxygen