Principles and challenges of modeling temporal and spatial omics data

B Velten, O Stegle - Nature Methods, 2023 - nature.com
Studies with temporal or spatial resolution are crucial to understand the molecular dynamics
and spatial dependencies underlying a biological process or system. With advances in high …

[HTML][HTML] Methods for cleaning the BOLD fMRI signal

C Caballero-Gaudes, RC Reynolds - Neuroimage, 2017 - Elsevier
Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …

[HTML][HTML] SynthStrip: skull-stripping for any brain image

A Hoopes, JS Mora, AV Dalca, B Fischl, M Hoffmann - NeuroImage, 2022 - Elsevier
The removal of non-brain signal from magnetic resonance imaging (MRI) data, known as
skull-stripping, is an integral component of many neuroimage analysis streams. Despite their …

Single-cell transcriptomic analysis of Alzheimer's disease

H Mathys, J Davila-Velderrain, Z Peng, F Gao… - Nature, 2019 - nature.com
Alzheimer's disease is a pervasive neurodegenerative disorder, the molecular complexity of
which remains poorly understood. Here, we analysed 80,660 single-nucleus transcriptomes …

SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry

JE Iglesias, B Billot, Y Balbastre, C Magdamo… - Science …, 2023 - science.org
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in
hospitals across the world. These have the potential to revolutionize our understanding of …

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

DJ Hagler Jr, SN Hatton, MD Cornejo, C Makowski… - Neuroimage, 2019 - Elsevier
Abstract The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing,
nationwide study of the effects of environmental influences on behavioral and brain …

Parallel interdigitated distributed networks within the individual estimated by intrinsic functional connectivity

RM Braga, RL Buckner - Neuron, 2017 - cell.com
Certain organizational features of brain networks present in the individual are lost when
central tendencies are examined in the group. Here we investigated the detailed network …

Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation

Y Huang, AA Liu, B Lafon, D Friedman, M Dayan… - elife, 2017 - elifesciences.org
Transcranial electric stimulation aims to stimulate the brain by applying weak electrical
currents at the scalp. However, the magnitude and spatial distribution of electric fields in the …

Probabilistic atlas for the language network based on precision fMRI data from> 800 individuals

B Lipkin, G Tuckute, J Affourtit, H Small, Z Mineroff… - Scientific Data, 2022 - nature.com
Two analytic traditions characterize fMRI language research. One relies on averaging
activations across individuals. This approach has limitations: because of inter-individual …

The organization of the human cerebellum estimated by intrinsic functional connectivity

RL Buckner, FM Krienen… - Journal of …, 2011 - journals.physiology.org
The cerebral cortex communicates with the cerebellum via polysynaptic circuits. Separate
regions of the cerebellum are connected to distinct cerebral areas, forming a complex …