Diffusion tensor imaging‐based machine learning for IDH wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features. https://doi.org/10.1111/cns.14263 #BiologicalPathway #DiffusionTensorImaging #Glioblastoma #MachineLearning #Prognosis

Is it just me, or are #MRI people really bad at keeping the difference between afferent and efferent connections straight? There's a whole lot of papers that seem to just assume that if they do #DiffusionTensorImaging, and pick a seed region, that all of the streamlines they get correspond to efferents from that site. And if they cite another paper as evidence, it's often another #DiffusionMRI paper that just asserts the same thing without obvious reference to anatomical ground truth.

If you don't reference an actual #Neuroanatomy paper that worked out which direction(s) your fibers are projecting, you can't claim anything about whether your seed projects to, from, or merely passes through any other ROI along your streamlines! I think a lot of times the answer is indeed known, but cite some real anatomy papers so your readers can tell. This problem isn't universal, but it does seem weirdly common.

Mapping genetic influences on the infant brain: A chat with Rebecca Knickmeyer

https://www.spectrumnews.org/opinion/q-and-a/mapping-genetic-influences-on-the-infant-brain-a-chat-with-rebecca-knickmeyer/

#diffusiontensorimaging #genetictesting #brainimaging #autism #GWAS #Q&A #MRI