Variance-normalizing individual time-courses lets regression model both shape and amplitude differences

Evidence

The subject-specific maps were subsequently fed into a linear mixed model (AFNI’s 3dLME) with factors group and task. Importantly, the outputs of stage one of the dual regression—the individual time-courses—were variance normalized before the second stage of the dual regression. In this manner the linear-mixed model now tests for both differences between groups in the shape of the network as well as in the amplitude of the network. — Dijk, Pim van, Physiology, Psychoacoustics and…, 2736

Categorization

Category: Craft and Method

• XREF: Methodological detail parallels how dual-regression is used across resting-state fMRI studies and could clarify how amplitude vs. spatial differences are disentangled.

Related

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Broader Connections

• Auditory-model difference measures predict audible quality degradation #expands (0.78) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2368