Towards algorithmic analytics for large-scale datasets

D Bzdok, TE Nichols, SM Smith - Nature Machine Intelligence, 2019 - nature.com
The traditional goal of quantitative analytics is to find simple, transparent models that
generate explainable insights. In recent years, large-scale data acquisition enabled, for …

[HTML][HTML] Improving practices and inferences in developmental cognitive neuroscience

JC Flournoy, N Vijayakumar, TW Cheng… - Developmental …, 2020 - Elsevier
The past decade has seen growing concern about research practices in cognitive
neuroscience, and psychology more broadly, that shake our confidence in many inferences …

Highlight Results, Don't Hide Them: enhance interpretation, reduce biases and improve reproducibility

PA Taylor, RC Reynolds, V Calhoun… - Neuroimage, 2023 - Elsevier
Most neuroimaging studies display results that represent only a tiny fraction of the collected
data. While it is conventional to present" only the significant results" to the reader, here we …

The neurocomputational bases of explore-exploit decision-making

J Hogeveen, TS Mullins, JD Romero, E Eversole… - Neuron, 2022 - cell.com
Flexible decision-making requires animals to forego immediate rewards (exploitation) and
try novel choice options (exploration) to discover if they are preferable to familiar …

Neuroimaging findings in US Government personnel and their family members involved in anomalous health incidents

C Pierpaoli, A Nayak, R Hafiz, MO Irfanoglu, G Chen… - JAMA, 2024 - jamanetwork.com
Importance US government personnel stationed internationally have reported anomalous
health incidents (AHIs), with some individuals experiencing persistent debilitating symptoms …

Inflammation and decreased functional connectivity in a widely-distributed network in depression: centralized effects in the ventral medial prefrontal cortex

L Yin, X Xu, G Chen, ND Mehta, E Haroon… - Brain, behavior, and …, 2019 - Elsevier
Major depressive disorder is a heterogeneous disease involving widespread disruptions in
functional brain networks, the neurobiological mechanisms of which are poorly understood …

Cluster failure or power failure? Evaluating sensitivity in cluster-level inference

S Noble, D Scheinost, RT Constable - Neuroimage, 2020 - Elsevier
Pioneering work in human neuroscience has relied on the ability to map brain function using
task-based fMRI, but the empirical validity of these inferential methods is still being …

Layer-specific, retinotopically-diffuse modulation in human visual cortex in response to viewing emotionally expressive faces

TT Liu, JZ Fu, Y Chai, S Japee, G Chen… - Nature …, 2022 - nature.com
Viewing faces that are perceived as emotionally expressive evokes enhanced neural
responses in multiple brain regions, a phenomenon thought to depend critically on the …

Controllability over stressor decreases responses in key threat-related brain areas

C Limbachia, K Morrow, A Khibovska, C Meyer… - Communications …, 2021 - nature.com
Controllability over stressors has major impacts on brain and behavior. In humans, however,
the effect of controllability on responses to stressors is poorly understood. Using functional …

Longitudinal volumetric evaluation of hippocampus and amygdala subregions in recent trauma survivors

Z Ben-Zion, N Korem, TR Spiller, O Duek… - Molecular …, 2023 - nature.com
The hippocampus and the amygdala play a central role in post-traumatic stress disorder
(PTSD) pathogenesis. While alternations in volumes of both regions have been consistently …