The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets

S Larivière, C Paquola, B Park, J Royer, Y Wang… - Nature …, 2021 - nature.com
Through harmonized procedures and by sharing site-specific brain metrics (for example,
cortical thickness) or aggregated statistical maps, ENIGMA has set the stage for large-scale …

[HTML][HTML] Neuromaps: structural and functional interpretation of brain maps

RD Markello, JY Hansen, ZQ Liu, V Bazinet, G Shafiei… - Nature …, 2022 - nature.com
Imaging technologies are increasingly used to generate high-resolution reference maps of
brain structure and function. Comparing experimentally generated maps to these reference …

[HTML][HTML] Micapipe: A pipeline for multimodal neuroimaging and connectome analysis

RR Cruces, J Royer, P Herholz, S Larivière… - NeuroImage, 2022 - Elsevier
Multimodal magnetic resonance imaging (MRI) has accelerated human neuroscience by
fostering the analysis of brain microstructure, geometry, function, and connectivity across …

[PDF][PDF] Predicting regional neurodegeneration from the healthy brain functional connectome

J Zhou, ED Gennatas, JH Kramer, BL Miller… - Neuron, 2012 - cell.com
Neurodegenerative diseases target large-scale neural networks. Four competing
mechanistic hypotheses have been proposed to explain network-based disease patterning …

[HTML][HTML] Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks

D Maric, J Jahanipour, XR Li, A Singh, A Mobiny… - Nature …, 2021 - nature.com
Mapping biological processes in brain tissues requires piecing together numerous
histological observations of multiple tissue samples. We present a direct method that …

Building better biomarkers: brain models in translational neuroimaging

CW Woo, LJ Chang, MA Lindquist, TD Wager - Nature neuroscience, 2017 - nature.com
Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a developing synergy between emerging analysis techniques and …

A community-developed open-source computational ecosystem for big neuro data

JT Vogelstein, E Perlman, B Falk, A Baden… - Nature …, 2018 - nature.com
To the Editor—Recent technological developments, such as high-throughput imaging and
sequencing, enable experimentalists to collect increasingly large, complex, and …

[HTML][HTML] Inference in the age of big data: Future perspectives on neuroscience

D Bzdok, BTT Yeo - Neuroimage, 2017 - Elsevier
Neuroscience is undergoing faster changes than ever before. Over 100 years our field
qualitatively described and invasively manipulated single or few organisms to gain …

[HTML][HTML] A FreeSurfer view of the cortical transcriptome generated from the Allen Human Brain Atlas

L French, T Paus - Frontiers in neuroscience, 2015 - frontiersin.org
The Allen Human Brain Atlas provides an anatomically comprehensive view of gene
expression in the brain (Hawrylycz et al., 2012). The complete transcriptome dataset …

[HTML][HTML] COINS: an innovative informatics and neuroimaging tool suite built for large heterogeneous datasets

A Scott, W Courtney, D Wood, R De la Garza… - Frontiers in …, 2011 - frontiersin.org
The availability of well-characterized neuroimaging data with large numbers of subjects,
especially for clinical populations, is critical to advancing our understanding of the healthy …