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Emergent session: Discuss ideas for longitudinal simulated datasets for interplay of brain, behavior, and cognition #5
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Hi there, this sounds like an interesting session. Thanks for submitting. We have allocated emergent session 3, Monday 24th 14:45-15:45, to this topic. If you send me an email I can provide you with more information: [email protected]. Looking forward to meet you in Montreal. Best, Selma |
Including a link to this issue in this public google cal for OHBM: https://twitter.com/RemiGau/status/1680754650830471168 |
Here is the streaming link to your emergent session, distribute it widely 🤓 |
@rgbayrak Thanks for sending the link to emergent-3, however, the time listed on crowdcast is 3:45 but 2:45 on OHBM schedule. Also, can anyone watch the crowd cast or only OHBM attendees? |
Thank you for letting us know. The schedule is correct. We will change it in crowdcast.
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Van: nedasadeghi ***@***.***>
Verzonden: vrijdag 21 juli 2023 14:31
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Onderwerp: Re: [ohbm/osr2023] Emergent session: Discuss ideas for longitudinal simulated datasets for interplay of brain, behavior, and cognition (Issue #5)
@rgbayrak<https://github.com/rgbayrak> Thanks for sending the link to emergent-3, however, the time listed on crowdcast is 3:45 but 2:45 on OHBM schedule.
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Updated! Sorry there was a time-zone issue 🤠 |
By Neda Sadeghi and Tonya White, Social and Cognitive Developmental Neuroscience, Laboratory of Brain and Cognition, NIMH
Recording and streaming volunteer
Emergent sessions number 4
(other emergent sessions would work as well, but we would prefer number 4)
Short description and the goals for the session
Together with other independent groups, we are in the process of generating simulated datasets to model interplay of brain, behavior, and cognition. We would like to discuss with the community what would be the most useful elements in the simulated data.
Neuroimaging has contributed considerably to our understanding of brain development and its relationship to cognition and behavior. With increasing availability of longitudinal studies, we can apply statistical models to longitudinal datasets to study the temporal trajectories of development and disease progression. However, despite advancements in neuroimaging, replicability in research remains a key issue and there is no gold standard to evaluate neuroanatomical correlates of cognition, behavior, and their interplay. Simulated datasets are one way that we can test hypotheses and assess whether our current models can capture the complex brain-behavior relationship. Our group along with others are currently in the process of generating synthetic data based on how each group thinks about development. The data will be released to the community where different longitudinal models can be tested and underlying assumptions can be extracted. After a year, the code that was used to generate the data will be released. We plan to have a symposium or a contest regarding the best approaches approximately a year after the initial data release.
Tagging @nedasadeghi
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