Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data

JA Ricard, TC Parker, E Dhamala, J Kwasa… - Nature …, 2023 - nature.com
Across the brain sciences, institutions and individuals have begun to actively acknowledge
and address the presence of racism, bias, and associated barriers to inclusivity within our …

Psychedelic drugs: neurobiology and potential for treatment of psychiatric disorders

FX Vollenweider, KH Preller - Nature Reviews Neuroscience, 2020 - nature.com
Renewed interest in the use of psychedelics in the treatment of psychiatric disorders
warrants a better understanding of the neurobiological mechanisms underlying the effects of …

Naturalistic stimuli in neuroscience: critically acclaimed

S Sonkusare, M Breakspear, C Guo - Trends in cognitive sciences, 2019 - cell.com
Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …

Functional brain networks reflect spatial and temporal autocorrelation

M Shinn, A Hu, L Turner, S Noble, KH Preller, JL Ji… - Nature …, 2023 - nature.com
High-throughput experimental methods in neuroscience have led to an explosion of
techniques for measuring complex interactions and multi-dimensional patterns. However …

THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

MN Hebart, O Contier, L Teichmann, AH Rockter… - Elife, 2023 - elifesciences.org
Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

[HTML][HTML] Towards a consensus regarding global signal regression for resting state functional connectivity MRI

K Murphy, MD Fox - Neuroimage, 2017 - Elsevier
The number of resting state functional connectivity MRI studies continues to expand at a
rapid rate along with the options for data processing. Of the processing options, few have …

[HTML][HTML] Ten simple rules for predictive modeling of individual differences in neuroimaging

D Scheinost, S Noble, C Horien, AS Greene, EMR Lake… - NeuroImage, 2019 - Elsevier
Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging …

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 …

[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] Hand classification of fMRI ICA noise components

L Griffanti, G Douaud, J Bijsterbosch, S Evangelisti… - Neuroimage, 2017 - Elsevier
We present a practical “how-to” guide to help determine whether single-subject fMRI
independent components (ICs) characterise structured noise or not. Manual identification of …