The overall goal of the previous cycle was to improve our understanding of functional energetics of cortical neurons in relation to their metabolic and hemodynamic demands in order to bridge the gap between the macroscopic BOLD signal and the underlying microscopic electrical activity of neural cells. We integrated high- field fMRI with 1H[13C]MRS and extracellular electrical recordings to provide high spatial and temporal measurements from different cortical layers. We effectively applied these tools in healthy rat brain under different arousal states and under clinical conditions such as absence or generalized seizures. Both tactile and non-tactile sensory systems were studied with variations of stimulus features to map the cortical surface. The multimodal results from different arousal states were then used to model oxidative neuroenergetic changes from transient to steady-state BOLD signal. Thus our ability to extract transient oxidative cerebral energetics (CMRO2) from dynamic coupling between neural (LFP, MUA) and vascular (CBF, CBV) signals has improved. We expanded our understanding about the relationship between BOLD activation patterns and baseline activity (or arousal level), where high frequency (or 3-band) baseline activity was correlated with spreading of cortical activity. Since recent studies reveal rich reciprocal interplay between cortical and subcortical networks, using cortical fMRI data alone to interpret function may be insufficient. The thalamus and the superior colliculus are vital for integration of different senses leading to activation of dispersed cortical regions. Multisensory integration, evident behaviorally and neurophysiologically, refers to crossmodal influences in the form of response enhancement or suppression. Furthermore level of cortical 3-band activity necessarily alters subcortical processing, because of the cortico-thalamic and cortico-colliculor projections. Thus the goal of this project is to study subcortical and cortical interactions in regards to crossmodal sensory integration based on the hypothesis that the BOLD signal and the neural response established in cortex are dependent on activities of subcortical areas given the hierarchy of sensory signal transfer. Research on multisensory integration has focused either on electrophysiology studies of individual neurons in animals or human fMRI studies investigating diffuse cortical areas involving millions of neurons. To bridge the gap in knowledge about crossmodal sensory mixing, an essential component of sensory perception, we will combine technology developments in high-field fMRI/MRS (multi-array RF coils with parallel imaging, dynamic and passive shimming, metabolic flux mapping) and electrophysiology (multi-electrode extracellular arrays) to characterize the BOLD responses of thalamus and superior colliculus, evaluate the neurometabolic and neurovascular couplings for BOLD calibration in cortical and subcortical regions, and assess the impact of the baseline state on multisensory BOLD activation patterns. Results from the proposed experiments will provide new insights into active interactions between cortical and subcortical areas and provide a mechanistic basis to interpret multisensory integration in human fMRI experiments and possibly even open new approaches to study sensory processes and their disorders in humans (e.g., aging, autism, dyslexia).
The energetic basis of neural activity provides solid basis for non-invasive neuroimaging with fMRI. The goal of the proposal is to study subcortical mechanisms underlying cortical activations for unisensory and multisensory stimuli. Results obtained from these studies will serve as a system to study questions raised in human fMRI studies and test concepts of crossmodal sensory mixing, which involve cortical and subcortical circuits and are known to be affected in various human sensory disorders (e.g., aging, autism, dyslexia).
|Kaneko, Gen; Sanganahalli, Basavaraju G; Groman, Stephanie M et al. (2017) Hypofrontality and Posterior Hyperactivity in Early Schizophrenia: Imaging and Behavior in a Preclinical Model. Biol Psychiatry 81:503-513|
|Wang, Helen; Huang, Yuegao; Coman, Daniel et al. (2017) Network evolution in mesial temporal lobe epilepsy revealed by diffusion tensor imaging. Epilepsia 58:824-834|
|Shu, C Y; Sanganahalli, B G; Coman, D et al. (2016) New horizons in neurometabolic and neurovascular coupling from calibrated fMRI. Prog Brain Res 225:99-122|
|Jung, Yonwoo; Hsieh, Lawrence S; Lee, Angela M et al. (2016) An epigenetic mechanism mediates developmental nicotine effects on neuronal structure and behavior. Nat Neurosci 19:905-14|
|Park, Kellie A; Ribic, Adema; Laage Gaupp, Fabian M et al. (2016) Excitatory Synaptic Drive and Feedforward Inhibition in the Hippocampal CA3 Circuit Are Regulated by SynCAM 1. J Neurosci 36:7464-75|
|Hyder, Fahmeed; Herman, Peter; Bailey, Christopher J et al. (2016) Uniform distributions of glucose oxidation and oxygen extraction in gray matter of normal human brain: No evidence of regional differences of aerobic glycolysis. J Cereb Blood Flow Metab 36:903-16|
|Sanganahalli, Basavaraju G; Rebello, Michelle R; Herman, Peter et al. (2016) Comparison of glomerular activity patterns by fMRI and wide-field calcium imaging: Implications for principles underlying odor mapping. Neuroimage 126:208-18|
|Shu, Christina Y; Herman, Peter; Coman, Daniel et al. (2016) Brain region and activity-dependent properties of M for calibrated fMRI. Neuroimage 125:848-856|
|Hsieh, Lawrence S; Wen, John H; Claycomb, Kumiko et al. (2016) Convulsive seizures from experimental focal cortical dysplasia occur independently of cell misplacement. Nat Commun 7:11753|
|Thompson, Garth J; Riedl, Valentin; Grimmer, Timo et al. (2016) The Whole-Brain ""Global"" Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism. Brain Connect 6:435-47|
Showing the most recent 10 out of 79 publications