Excited to see my meta-analysis on serotonin markers across healthy adulthood finally out! Many thanks to my fantastic co-authors Casey McLaughlin and @carmelaaaa_ and especially to @GregoryRSL for being an amazing supervisor on this project! https://t.co/bBrX0xETen
Happy to see @_tmkarrer 's paper "A practical guide to methodological considerations in the controllability of structural brain networks" just out in Journal of Neural Engineering: https://t.co/IvZSwZT4Zn
New from @neuro_dz "Efficient Coding in the Economics of Human Brain Connectomics" https://t.co/FnwFUftJxv Here we develop a model to understand how network structure and metabolic resources support and constrain the efficient transmission of information.
Good read by @DaniSBassett on translational potential of data-driven neuroimaging analysis for psychiatric diagnosis & therapy
The perspective is clear, tools are (increasingly) there, what is really missing is (shared) data. None of this works with N=40
https://t.co/YFsSgmCHAb
** New paper **
We put several machine learning algorithms to test vs log reg to see if they improved prediction of heart failure outcomes using (structured) variables from claims and EMRs
https://t.co/cI6RBKPF2n
Work with @mvaduganathan
A short thread on what we found 0/
Interesting paper! Differences in consistency were "driven by Siemens scanners, with markedly higher consistency in all seven networks."
Phillips had higher motion levels than Siemens, though, so different amts of data were kept.
https://t.co/7f3Io54jmR
🔥 We are looking for a postdoc 🔥
Join us to develop & apply new approaches for #MachineLearning on neuroimaging and clinical datasets.
Many exciting data-sets, world-class facilities @fzj_jsc, international network and a great team @fzj_inm7
Please RT for reach !!
In an effort to improve guidance for research at the intersection of ML & healthcare, we present a pair of articles geared towards ML practitioners and doctors who desire a better understanding of how ML can assist in their clinical work. Read more below ↓https://t.co/T57WL9zbkB
Is schizophrenia a by-product of human brain evolution? By comparing the human and chimpanzee connectomes, van den Heuvel et al. show that connections unique to the human brain show greater involvement in schizophrenia pathology. https://t.co/JyPC7LRTyA
@DaniSBassett and I consider what types of explanations network neuroscience can offer. We make the distinction between an explanation and the evidence supporting that explanation, generating a scale-free nature of mechanistic explanation. https://t.co/l6BwBpa99m
For all of you who were not able to join us at the #cpczurich2019 and those of you who want to listen to their favorite talk again, the podcasts are out: https://t.co/0ZBHE5qia0
Share and enjoy 🙂.
#ComputationalPsychiatry#CompPsychiatry
New issue of Psych and Aging features an evaluation of the replicability of the correlative triad between age, dopamine, and cognition by @DukePsychNeuro PhD student @EricJJuarez w lab co-authors @jjfcastrellon@mikellagreen@KendraSeaman @jlcrawford28 https://t.co/NOMbWlxWue
Huge congrats to @CieslakMatt!!!! After over a year of development and testing, we are thrilled to introduce #QSIPrep – a rigorous, automatic, and transparent BIDS app for diffusion MRI preprocessing and reconstruction. Check it out here https://t.co/ACmREdUbLe. 1/n
I 💜 WPA style National Park posters and often look for color schemes from them so I decided to make an #rstats package! I’ll write a blog post with examples soon, but for now feel free to try them out and let me know what you think! 18 to choose from!🌲🏔 https://t.co/9Ag5yy6NrM
A colleague got a revise and resubmit because a reviewer wanted to her to run an ANOVA instead of a linear model.
This is a bit of a silly request considering that an ANOVA is just a special case of a linear model—you won’t get a different result https://t.co/HLXxjtDV4V