Richard Dortch

🍃 Week 18 of #DiffusionMRIZeroToHero series! Learn how CSD creates sharp fiber ODFs resolving crossings down to ~30-40°, and how Multi-Tissue CSD goes further by separating WM, GM & CSF for cleaner results. Full post: linkedin.com/feed/update/ur… #DIPY #Neuroimaging #dMRI

Great review from @vuiis John Gore on "The nature and interpretation of BOLD signals in white matter". authors.elsevier.com/a/1mI8z,GdM5vK…

In Week 12 of #DiffusionMRIZeroToHero, we dive into Diffusional Kurtosis Imaging (DKI). 🧠 Read more about how DKI overcomes the limitations of DTI in modeling the microstructure independent of the underlying fiber orientation -linkedin.com/feed/update/ur… #DiffusionMRIZeroToHero #DIPY #Neuroimaging

#dMRI data is noisy, even after motion & distortion correction, obscuring subtle microstructural details. Week 7 of #DiffusionMRIZeroToHero, we look at Denoising - the process of recovering the underlying signal without blurring. Read: linkedin.com/feed/update/ur… #DIPY #Denoising

A practical follow up for this week’s #DiffusionMRIZeroToHero post. DIPY provides several denoising options that you can directly run on the command line. 🖥️ Here is a quick guide: linkedin.com/feed/update/ur… #DIPY #DiffusionMRI #Neuroimaging #Neuroscience #MedicalImaging

This week in #DiffusionMRIZeroToHero we look at where DTI breaks down when voxels contain crossing fibers or mixed tissue. Why DTI struggles, and how advanced models go beyond the tensor: linkedin.com/posts/dipy_dti… #DIPY #dMRI #Neuroimaging #DTI

This week in #DiffusionMRIZeroToHero we unpack Diffusion Tensor Imaging. 🧠 See how multi-directional diffusion-weighted measurements per voxel are summarized into 3D diffusion tensors, turning raw DWI into interpretable diffusion metrics: linkedin.com/posts/dipy_dti… #DIPY #DTI #Neuroimaging #MedicalImaging

Seeing ripples near sharp edges in your MRI? That's Gibbs Ringing. 🌊 This week's #DiffusionMRIZeroToHero explains why this happens, how it affects dMRI metrics, and how to fix it without blurring your data. Full Post - linkedin.com/posts/dipy_dip… #dMRI #DIPY #MedicalImaging #NeuroImaging

A cubic millimeter of mouse brain with 75,000 neurons, vizualized by @quorumetrix : youtu.be/blaS5fBJdsE Watching the way the signals propagate through the layers, with pyramidal cells integrating and processing 11,061 inputs at a time is mindbending.

Eigenvalues of large random matrices are a central object of modern probability known as random matrix theory, which studies how the spectrum of a matrix with random entries behaves as its dimension grows. Remarkably, despite the randomness, the eigenvalues follow universal laws such as the semicircle law or Marchenko–Pastur law, allowing one to predict the distribution of variance and correlations in high-dimensional systems. In probability, these results explain fluctuations in complex interacting systems, from particle gases to queuing networks. In machine learning, the eigenvalues of data covariance matrices and neural network weight matrices reveal effective dimensionality, overfitting, and training dynamics, guiding practices like PCA, ridge regression, and deep network initialization. In real life, random matrix eigenvalues appear in wireless communication, where they determine channel capacity, in finance to separate signal from noise in correlation matrices of assets, and in physics to model energy levels of heavy nuclei, showing how order can emerge from apparent randomness. Image: share.google/GspifE9JyNvMgH…

Seems like there may be an awful lot of extrapolation here starting with the suggestion that amyloid clearance is dependent on improved glymphatic function and that DTI measures are an accepted measure for Alzheimer's Disease neuropathologic change. New data question short-term efficacy of anti-amyloid drug radiologybusiness.com/topics/medical…

Connectome datasets alone are generally not sufficient to predict neural activity. However, pairing connectivity information with neural recordings can produce accurate predictions of activity in unrecorded neurons nature.com/articles/s4159…

the first songbird #basalganglia #brain connectome: -8,500 automated neuron reconstructions -20 million synapses -16 cell types songbird-connectomics.org

Introducing the Barrow Vestibular Schwannoma Grading System — the first of its kind that quantifies rate limiting steps during tumor resection. It’ll pave the way for the next exciting step—quantitative MRI @mtlawton @RichardDortch @BarrowNeuro @CNS_Update #cns2025 #neurosurgery

Barrow & @ASU share a mission of advancing biosciences across #AZ. That’s why we teamed up to establish the Barrow-ASU Center for Preclinical Imaging, which provides essential core technologies & professional expertise to Valley researchers. Learn more at bar.rw/preclinical-im….

It's #ANAWareness Week. An #acousticneuroma is a noncancerous tumor that develops on the nerve that carries sound & balance info from the inner ear to the brain. Barrow offers a team-based & patient-centered approach for managing these tumors. Learn more: BarrowNeuro.org/AcousticNeuroma

Today marks the end of an era — we’ve ramped down our Philips research scanner. Grateful for the many discoveries and to Philips for their support. Looking ahead to the next chapter with our GE Premier system, launching later this summer. Huge thanks to our amazing team!

We're thrilled to welcome our 2025 class of #undergraduateinterns! These 42 students are joining us from 25 different universities across the U.S., Mexico, & Brazil. They were selected from 350+ applicants. Visit bar.rw/undergrads2025 to meet these bright minds.

Diffusion tensor #MRI is sensitive to early microstructural changes in traumatic root avulsions in adults with brachial plexus injuries Open-access 👉 doi.org/10.1016/j.nicl… 4 help setting up DM me #DTI #BPI #tBPI @NIHRresearch @LeedsPlastics @UniversityLeeds @OpenResLeeds

A fluorescence-microscopy method for tracing neuronal connections in the brain could make connectomics studies more widely accessible for neuroscientists go.nature.com/3GMsATv