Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging

作者：Shah N J; Arrubla J; Rajkumar R; Farrher E; Mauler J; Kops E Rota; Tellmann L; Scheins J; Boers F; Dammers J; Sripad P; Lerche C; Langen K J; Herzog H; Neuner I^*

来源：Scientific Reports, 2017, 7(1): 6452.

DOI：10.1038/s41598-017-05484-w

Simultaneous MR-PET-EEG (magnetic resonance imaging -positron emission tomography electroencephalography), a new tool for the investigation of neuronal networks in the human brain, is presented here for the first time. It enables the assessment of molecular metabolic information with high spatial and temporal resolution in a given brain simultaneously. Here, we characterize the brain's default mode network (DMN) in healthy male subjects using multimodal fingerprinting by quantifying energy metabolism via 2-[F-18] fluoro-2-desoxy-D-glucose PET (FDG-PET), the inhibition -excitation balance of neuronal activation via magnetic resonance spectroscopy (MRS), its functional connectivity via fMRI and its electrophysiological signature via EEG. The trimodal approach reveals a complementary fingerprint. Neuronal activation within the DMN as assessed with fMRI is positively correlated with the mean standard uptake value of FDG. Electrical source localization of EEG signals shows a significant difference between the dorsal DMN and sensorimotor network in the frequency range of delta,theta,alpha, and beta-1, but not with beta-2 and beta-3. In addition to basic neuroscience questions addressing neurovascularmetabolic coupling, this new methodology lays the foundation for individual physiological and pathological fingerprints for a wide research field addressing healthy aging, gender effects, plasticity and different psychiatric and neurological diseases.

• 出版日期2017-7-25
• 单位河北医科大学