Towards algorithmic analytics for large-scale datasets
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 …
generate explainable insights. In recent years, large-scale data acquisition enabled, for …
[HTML][HTML] Improving practices and inferences in developmental cognitive neuroscience
The past decade has seen growing concern about research practices in cognitive
neuroscience, and psychology more broadly, that shake our confidence in many inferences …
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
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 …
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 …
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
Importance US government personnel stationed internationally have reported anomalous
health incidents (AHIs), with some individuals experiencing persistent debilitating symptoms …
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
Major depressive disorder is a heterogeneous disease involving widespread disruptions in
functional brain networks, the neurobiological mechanisms of which are poorly understood …
functional brain networks, the neurobiological mechanisms of which are poorly understood …
Cluster failure or power failure? Evaluating sensitivity in cluster-level inference
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 …
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
Viewing faces that are perceived as emotionally expressive evokes enhanced neural
responses in multiple brain regions, a phenomenon thought to depend critically on the …
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 …
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
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 …
(PTSD) pathogenesis. While alternations in volumes of both regions have been consistently …