MRI-MEG: Leveraging Complementary Information for Studying Brain Connectivity
Timothy Roberts1
1Children's Hospital of Philadelphia, United States
Synopsis
This work discusses integration of DTI and related measures of white matter microstructure with temporal measures of evoked response latency from MEG to attempt to identify (1) neural correlates of development and their biological basis, (2) departures from typical development in autism spectrum disorder and related genetic syndromes and (3) a biological basis for stratifying sub-populations of these heterogeneous disorders.
Summary
In this presentation, we will discuss novel methods of integrating complementary information from DTI and MEG - combining microstructure connectivity with evoked response latencies to attempt to establish conduction velocity assays. These measures will be assessed for correlation in typical childhood/adolescent development as well as for identifying departures from correlation in disorders such as autism spectrum disorder, and related genetic conditions 16p11.2 CNV deletion/duplication and NF1 mutation. Departures from correlation will also be examined as a means of stratifying the heterogeneous sample populations and potentially identifying sub-populations with distinct biological etiologies. Evaluation with spectrally-edited MEGAPRESS estimation of the inhibitory neurotransmitter will attempt to partially describe these different biological bases. Data shown will be from large cohort multimodal pediatric data collections.Acknowledgements
Dr Roberts thanks the Oberkircher family for the Oberkircher Family Chair in Pediatric Radiology at the Children's Hospital of PhiladelphiaReferences
Roberts TPL, Bloy L, Ku M, Blaskey L, Jackel CR, Edgar JC, Berman JI. A Multimodal Study of the Contributions of Conduction Velocity to the Auditory Evoked Neuromagnetic Response: Anomalies in Autism Spectrum Disorder. Aut. Res. (2020) 13(10):1730-1745. PMID: 32924333
Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)