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Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data
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 …
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 …
warrants a better understanding of the neurobiological mechanisms underlying the effects of …
THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior
Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …
objects in our visual world with dense measurements of brain activity and behavior. Here …
Functional brain networks reflect spatial and temporal autocorrelation
High-throughput experimental methods in neuroscience have led to an explosion of
techniques for measuring complex interactions and multi-dimensional patterns. However …
techniques for measuring complex interactions and multi-dimensional patterns. However …
Naturalistic stimuli in neuroscience: critically acclaimed
Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …
using abstract stimuli. While this approach has yielded fundamental insights into functional …
[HTML][HTML] Ten simple rules for predictive modeling of individual differences in neuroimaging
Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging …
measures and generalize to novel individuals remains a challenge in neuroimaging …
[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 …
rapid rate along with the options for data processing. Of the processing options, few have …
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 …
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 …
rapidly become a popular technique for the investigation of brain function in healthy …
Global signal regression strengthens association between resting-state functional connectivity and behavior
Global signal regression (GSR) is one of the most debated preprocessing strategies for
resting-state functional MRI. GSR effectively removes global artifacts driven by motion and …
resting-state functional MRI. GSR effectively removes global artifacts driven by motion and …