3.7k citations · 4.3k across the 24 of their papers we have counts for
25 papers
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
Neuroimaging Meta Regression for Coordinate Based Meta Analysis Data with a Spatial Model
Yifan Yu, Rosario Pintos Lobo, Michael Cody Riedel +3
Coordinate-based meta-analysis combines evidence from a collection of Neuroimaging studies to estimate brain activation. In such analyses, a key practical challenge is to find a co…
Neuroscience needs Network Science
Dániel L Barabási, Ginestra Bianconi, Ed Bullmore +17
The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has…
Cluster extent inference revisited: quantification and localization of brain activity
Jelle J. Goeman, Paweł Górecki, Ramin Monajemi +3
Cluster inference based on spatial extent thresholding is the most popular analysis method for finding activated brain areas in neuroimaging. However, the method has several well-k…
Confidence regions for the location of peaks of a smooth random field
Samuel Davenport, Thomas E. Nichols, Armin Schwarzman
Local maxima of random processes are useful for finding important regions and are routinely used, for summarising features of interest (e.g. in neuroimaging). In this work we provi…
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior
Anna Menacher, Thomas E. Nichols, Chris Holmes +1
Neural demyelination and brain damage accumulated in white matter appear as hyperintense areas on T2-weighted MRI scans in the form of lesions. Modeling binary images at the popula…