Eeg imaging
By utilising the complementary information provided by each modality in this novel imaging facility, we investigated the DMN region of the brain and characterised DMN in healthy male subjects using multimodal fingerprints, such as functional connectivity via fMRI, energy metabolism via 2- fluoro-2-desoxy-D-glucose PET (FDG-PET), mean diffusivity (MD) via diffusion weighted imaging (DWI), the inhibition – excitation balance of neuronal activation via MR spectroscopy (MRS), and electrophysiological signature via EEG. The simultaneous trimodal facility provides high spatial resolution MR images, highly molecular specific PET images (depending on the radiolabelled tracer used) and high temporal resolution EEG signals. Thus, in order to simultaneously measure structural and functional information via magnetic resonance imaging (MRI), metabolic information via positron emission tomography (PET) and electrophysiological information via electroencephalography (EEG), the modalities of MRI, PET and EEG have been combined into a single trimodal imaging facility in our Institute. Also, from a clinical routine point of view, sequential measurement is time consuming and requires more human resources. However, sequential measurement has the major confounding factor that the data are recorded at different time points and the physiological condition of the brain might have altered between the different time points. To date, such parameters have been studied using neuroimaging techniques via sequential measurements. The energy metabolism of the DMN and its relationship with the concentration of the neurotransmitters, as well as its electrophysiological signatures, could be potential biomarkers in the early detection of neuro-disorders. It has also been found that the functional connectivity within DMN has a high impact on task performance (Berkovich-Ohana et al. Among RSNs, the so called default mode network (DMN) is widely studied and its hubs are found to be most vulnerable to neurological disorders (Chételat & Marine 2013). One such functional network is the resting state network (RSN), which organises the brain in a large-scale cerebral network, in the absence of any external stimulation (Biswal et al. It can be functionally segregated into various functional networks (Shirer et al. The human brain is one of the most complex and efficient organs in the body. Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging. This article is based on recently published work, Shah NJ, Arrubla J, Rajkumar R, Farrher E, Mauler J, Kops ER, et al. Trimodal imaging methodology is presented here for the first time, and we have carried out a pilot study to highlight its advantages. In this work, we show the implementation of simultaneous trimodal imaging by employing the benefits of EEG, to acquire the electrophysiology of the brain, simultaneously with PET, to ascertain metabolic details, and MRI, to integrate brain function and structure. 2013) or MRI-positron emission tomography (PET) (Wehrl et al.
simultaneous acquisition of data from magnetic resonance imaging – electroencephalography (MRI-EEG) (Mullinger et al. Recent efforts have seen advances in hybrid imaging, i.e.
Irene Neuner, Institute for Neuroscience and Medicine 4, INM4, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany phone +49 2461 616356, fax +49 2461 611919) By Shah NJ 1,2,3,4,5, Rajkumar R 1,3,6 ,Neuner I 1,3,6*ġInstitute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, GermanyĢInstitute of Neuroscience and Medicine 11, INM-11, Forschungszentrum Jülich, GermanyģJARA – BRAIN – Translational Medicine, GermanyĤDepartment of Neurology, RWTH Aachen University, GermanyĥMonash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.ĦDepartment of Psychiatry, Psychotherapy and Psychosomatics,RWTH Aachen University, Germany