Abstract. Ultra-high-field MRI promises major gains in BOLD sensitivity but introduces severe challenges such as RF field inhomogeneity, B0 field inhomogeneity, motion and vibration-induced field vari...

Visualizations are vital for communicating scientific results. Historically, neuroimaging figures have only depicted regions that surpass a given statistical threshold. This practice substantially bia...

Analyses that include low-quality MRI data underestimate cortical thickness and overestimate surface area, according to new work from the ABCD Study.

AbstractFunctional connectivity is frequently used to assess dynamic brain functioning and predict individual differences in behavioral outcomes, such as psychopathology. Inferences from functional co...

Overview of our approach for extreme value statistics. First, we fit a normative model to imaging phenotypes, before employing a ‘peaks-over-threshold’ approach widely used in meteorology and finance....

Advances in brain imaging technology provide new and different information about the brain.

In this Analysis, Liu et al. benchmark more than 200 pairwise statistics for functional brain connectivity in tasks such as hub mapping, distance relationships, structure–function coupling and behavio...

YouTube video by Paul Thompson

This is a repository of wiki, code and containers for post-processing data acquired using the BRAIN-TO imaging protocols on a Siemens Prisma 3 T - BRAIN-TO/bto_mri_protocols_info

The Network Correspondence Toolbox (NCT) helps neuroscientists compare brain imaging data across different atlases, addressing inconsistencies in how brain networks are labeled. Developed by Dr. Lucin...

Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...

Here, the authors present the Network Correspondence Toolbox, which enables researchers to examine and report spatial correspondence between their neuroimaging results and widely used brain atlases.

YouTube video by AFNI Bootcamp

We present VoxelPrompt, an agent-driven vision-language framework that tackles diverse radiological tasks through joint modeling of natural language, image volumes, and analytical metrics. VoxelPrompt...

Objective This study aimed to evaluate medical students’ perception of a new radiology teaching format for abdominal diagnostics. The format transitioned traditional lectures and seminars to a case- a...

Many brain areas support complex language processing behaviours. In this Review, Fedorenko et al. disentangle the ‘core’ language system as functionally distinct from the perceptual and motor brain ar...

Functional magnetic resonance imaging (fMRI) is an indirect technique for measuring cerebral neural activity. It depends on the local cerebral vasculature and perfusion. It has thus been suggested tha...

The Transmitter’s first book, “Thinking about neuroscience: Essays from the field,” features a rich collection of writing from researchers Nicole Rust, Anthony Zador and many more.

Our ability to identify associations between behaviour and brain imaging is important for uncovering markers of cognition and disease. Here, the authors illustrate the importance of the reliability of...

Radiofrequency (RF) coils are an essential MRI hardware component. They directly impact the spatial and temporal resolution, sensitivity, and uniformity in MRI. Advances in RF hardware have resulted...

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