Optimization of experimental design in fMRI: a general framework using a genetic algorithm

By Tor D. Wager, Thomas E. Nichols. NeuroImage, 2003

458 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/795afa0bd5b16e47c3b2824ccfde53426581180e

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In Cognitive Neuroscience

Citations in the corpus

Thinking of mental and other representations: The roles of left and right temporo-parietal junction (2006, methodology): “The sequence of the conditions was calculated by a genetic algorithm (Wager & Nichols, 2003 ), and the positions of the correct and wrong answer possibilities on the screen were randomly switched.”
The Statistical Analysis of fMRI Data. (2008, methodology): “Several methods have been introduced that allow researchers to optimally select the design parameters, as well as the sequencing of events that should be used in an experiment (Wager and Nichols, 2003; Liu and Frank, 2004).”
Mirroring others' emotions relates to empathy and interpersonal competence in children (2008, methodology): “The order of events was determined using Optimize Design 11 (Wager and Nichols, 2003) to maximize contrast detection efficiency.”
The neural dynamics of updating person impressions. (2013, methodology): “Recent neuroimaging work has sought to identify brain regions crucial for forming impressions of others based upon behavioral information.”
Common and unique components of response inhibition revealed by fMRI (2005, methodology): “We chose a block design because it maximizes power to detect stable effect magnitudes (Liu et al., 2001; Wager and Nichols, 2003), sacrificing knowledge provided by event-related designs about whether activations reflect general task-set-related or specific trial-related processes in favor of maximi”
Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience (2008, unknown): “The ﬁ eld has developed sophisticated methods for designing experimental event sequences to optimize statistical efﬁ ciency (e.g., Wager and Nichols, 2003).”
Early developmental emergence of human amygdala–prefrontal connectivity after maternal deprivation (2013, methodology): “AnANOVAinAFNImodeledgroup(comparison, PI), emotional run (fear run, happy run), and stimulus type [emotional face (either fear or happy), neutral face].”
Considerations for conducting developmental neuroimaging research on mental health topics (2025, unknown): “…compare ‘ like with like ’ across participants, signi ﬁ cant work remains in identifying and addressing sources of signal instability (e.g., motion [73]; sampling variability [74]; signal propagation [75, 76]), and ways to optimize task design [77] and deal with performance confounds over age [78].”