Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

Highlights•Context is needed to appreciate recent reports of poor univariate fMRI
reliability.•We provide a guide to measuring and interpreting fMRI test-retest reliability via …

Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …

Recent years have seen a surge of research on variability in functional brain connectivity
within and between individuals, with encouraging progress toward understanding the …

When fields lack consensus standards and ground truths for their analytic methods,
reproducibility can be more of an ideal than a reality. Such has been the case for functional …

Characterizing multifaceted individual differences in brain function using neuroimaging is
central to biomarker discovery in neuroscience. We provide an integrative toolbox …

The amygdala and its connections with medial prefrontal cortex (mPFC) play central roles in
the development of emotional processes. While several studies have suggested that this …

Group-level studies do not capture individual differences in network organization, an
important prerequisite for understanding neural substrates shaping behavior and for …

Despite myriad demonstrations of feasibility, the high dimensionality of fMRI data remains a
critical barrier to its utility for reproducible biomarker discovery. Recent efforts to address this …

Background Repetitive transcranial magnetic stimulation (rTMS) is widely used in both
research and clinical settings to modulate human brain function and behavior through the …