[HTML][HTML] What's new and what's next in diffusion MRI preprocessing

CMW Tax, M Bastiani, J Veraart, E Garyfallidis… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Precise motor mapping with transcranial magnetic stimulation

K Weise, O Numssen, B Kalloch, AL Zier… - Nature protocols, 2023 - nature.com
We describe a routine to precisely localize cortical muscle representations within the primary
motor cortex with transcranial magnetic stimulation (TMS) based on the functional relation …

[HTML][HTML] Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller, SH Wang… - Nature …, 2022 - nature.com
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

OASIS-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and Alzheimer disease

PJ LaMontagne, TLS Benzinger, JC Morris, S Keefe… - medrxiv, 2019 - medrxiv.org
ABSTRACT OASIS-3 is a compilation of MRI and PET imaging and related clinical data for
1098 participants who were collected across several ongoing studies in the Washington …

Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging

A Horn, N Li, TA Dembek, A Kappel, C Boulay, S Ewert… - Neuroimage, 2019 - Elsevier
Deep brain stimulation (DBS) is a highly efficacious treatment option for movement disorders
and a growing number of other indications are investigated in clinical trials. To ensure …

[HTML][HTML] Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

F Alfaro-Almagro, M Jenkinson, NK Bangerter… - Neuroimage, 2018 - Elsevier
UK Biobank is a large-scale prospective epidemiological study with all data accessible to
researchers worldwide. It is currently in the process of bringing back 100,000 of the original …

[HTML][HTML] The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

S Bakas, C Sako, H Akbari, M Bilello, A Sotiras… - Scientific data, 2022 - nature.com
Glioblastoma is the most common aggressive adult brain tumor. Numerous studies have
reported results from either private institutional data or publicly available datasets. However …

[HTML][HTML] The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

SA Nastase, YF Liu, H Hillman, A Zadbood… - Scientific data, 2021 - nature.com
The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

A retinotopic code structures the interaction between perception and memory systems

A Steel, EH Silson, BD Garcia, CE Robertson - Nature Neuroscience, 2024 - nature.com
Conventional views of brain organization suggest that regions at the top of the cortical
hierarchy processes internally oriented information using an abstract amodal neural code …

SlicerMorph: An open and extensible platform to retrieve, visualize and analyse 3D morphology

S Rolfe, S Pieper, A Porto, K Diamond… - Methods in Ecology …, 2021 - Wiley Online Library
Large‐scale digitization projects such as# ScanAllFishes and oVert are generating high‐
resolution microCT scans of vertebrates by the thousands. Data from these projects are …