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Vince Calhoun @vcalhoun.bsky.social
@vdcalhoun
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Multimodal brain imaging & genetics, signal & image processing, general all around geek, husband, father of three, lover of purple. @[email protected]
Joined February 2009
RT @eic_nic: A new multimodal brain-wide risk score for evaluating risk of mild cognitive impairment and early Alzheimer's
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RT @CenterTrends: Just now Shoutout to @vdcalhoun , a member of the round table discussion on Brain Connectivity, that was one of the mo…
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RT @VItkyal: Excited to share our novel white matter ICN template and preprint from 100K+ fMRI scans, revealing 97 ICNs and novel WM-GM ins…
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@JAMAPsych Great article on EEG. However IMO there *is* evidence of the utility of fMRI spatial specificity for clinical utility (cf. lots of subcortical in the below). Also, we don't need 40 min of data, network constraints yield highly reliable fMRI in 5-10 min.
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@GrattonCaterina 👍check also these relevant papers: null models/kurtosis: short rest scans replicate & predict: states canonical and differences replicate: states overlap:
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Cool new work from Spencer Kinsey and @AIraji showing the importance of capturing nonlinear functional connectivity for studying mental illness (
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@fMRI_today It is important...but slight quibble with 'emerging', we and others have been looking at various ways spatial properties of networks vary in brain disorder for over 20 years now (cf . And spatial dynamics are also important (!
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RT @DrCyphi: @vdcalhoun GIFT 4.0.5.17 supports ICA of Functional Network Connectivity (FNC) Matrices. Longitudinal study using ICA and FNC…
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RT @CenterTrends: We had a fantastic time at the @alzassociation Atlanta walk this Saturday. Thank you to all members who attended to suppo…
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RT @BrainImagingLiv: Now published in @braincomms | | 3D convolutional neural networks for Dx of TL #epilepsy | Big…
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@ItaiYanai Fraud is also about intent to deceive...the scientific paper is rather an attempt to describe a process that then needs to be replicated by others. It has flaws of course, modern papers are trying to improve transparency via embedded code and data.
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RT @xin_hui_li: Excited to share our revised work on MSIVA, a method to capture both crossmodal and unimodal latent sources from multimodal…
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RT @ParkvilleGeek: Multimodal subspace independent vector analysis effectively captures the latent relationships between brain structure an…
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