87. Rick Betzel: Network neuroscience, generative modeling, and collaborations episode artwork

EPISODE · Jan 1, 2024 · 1H 23M

87. Rick Betzel: Network neuroscience, generative modeling, and collaborations

from BJKS Podcast

Rick Betzel is an Associate professor at India University Bloomington. We talk about his research on network neuroscience, how to find good collaborators, Rick's path to network neuroscience, and much more.Support the show: https://geni.us/bjks-patreonTimestamps0:00:00: What's the purpose of connectomics if understanding a species' entire connectome (as in C elegans) doesn't allow us to fully understand its behaviour?0:03:57: Rick's very very linear path to network neuroscience0:19:41: Multi-scale brain networks0:43:40: Collaborations (between people who collect data and people who analyse data)0:52:33: The future of network neuroscience: generative modeling, network control, and edge-centric connectomics1:13:15: A book or paper more people should read1:15:55: Something Rick wishes he'd learnt sooner1:18:01: Advice for PhD students/postdocsPodcast linksWebsite: https://geni.us/bjks-podTwitter: https://geni.us/bjks-pod-twtRick's linksWebsite: https://geni.us/betzel-webGoogle Scholar: https://geni.us/betzel-scholarTwitter: https://geni.us/betzel-twtBen's linksWebsite: https://geni.us/bjks-webGoogle Scholar: https://geni.us/bjks-scholarTwitter: https://geni.us/bjks-twtReferencesAkarca ... (2021). A generative network model of neurodevelopmental diversity in structural brain organization. Nat Comm.Barabási (2003). Linked.Barabási & Albert (1999). Emergence of scaling in random networks. Science.Betzel (2022). Network neuroscience and the connectomics revolution. In Connectomic deep brain stimulation.Betzel & Bassett (2017). Multi-scale brain networks. Neuroimage.Betzel & Bassett (2017). Generative models for network neuroscience: prospects and promise. Journal of The Royal Society Interface.Betzel ... (2012). Synchronization dynamics and evidence for a repertoire of network states in resting EEG. Front comp neuro.Bullmore & Sporns (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neuro.Cook ... (2019). Whole-animal connectomes of both Caenorhabditis elegans sexes. Nature.Feltner & Dapena (1986). Dynamics of the shoulder and elbow joints of the throwing arm during a baseball pitch. J Appl Biomech.Lindsay (2021). Models of the mind.Nieminen ... (2022). Multi-locus transcranial magnetic stimulation system for electronically targeted brain stimulation. Brain stimulation.Oh ... (2014). A mesoscale connectome of the mouse brain. Nature.Rubinov & Sporns (2010). Complex network measures of brain connectivity: uses and interpretations. Neuroimage.Scheffer ... (2020). A connectome and analysis of the adult Drosophila central brain. Elife.Sporns (2016). Networks of the Brain.Van Den Heuvel & Sporns (2011). Rich-club organization of the human connectome. J Neuro.Watts & Strogatz (1998). Collective dynamics of ‘small-world’networks. Nature.White ... (1986). The structure of the nervous system of the nematode Caenorhabditis elegans. Philos Trans R Soc Lond B.Winding ... (2023). The connectome of an insect brain. Science.Yan ... (2017). Network control principles predict neuron function in the Caenorhabditis elegans connectome. Nature. 

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Rick Betzel is an Associate professor at India University Bloomington. We talk about his research on network neuroscience, how to find good collaborators, Rick's path to network neuroscience, and much more. Support the show: https://geni.us/bjks-patreon Timestamps 0:00:00: What's the purpose of connectomics if understanding a species' entire connectome (as in C elegans) doesn't allow us to fully understand its behaviour? 0:03:57: Rick's very very linear path to network neuroscience 0:19:41:...

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87. Rick Betzel: Network neuroscience, generative modeling, and collaborations

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