Work

Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts

Year: 2018

Type: article

Abstract: Estimations of period and phase are essential in circadian biology. While many techniques exist for estimating period, comparatively few methods are available for estimating phase. Current approaches to analyzing phase often vary between studies and are sensitive to coincident changes in period and the stage of the circadian cycle at which the stimulus occurs. Here we propose a new technique, tau-independent phase analysis (TIPA), for quantifying phase shifts in multiple types of circadian time-course data. Through comprehensive simulations, we show that TIPA is both more accurate and more precise than the standard actogram approach. TIPA is computationally simple and therefore will enable accurate and reproducible quantification of phase shifts across multiple subfields of chronobiology.

Source: Journal of Biological Rhythms

DOI: 10.1177/0748730418768116

Authors: Michael C. Tackenberg, Jeff R. Jones, Terry L. Page, Jacob J. Hughey

Institutions: Vanderbilt University, Washington University in St. Louis

Language: English

Topic: Circadian rhythm and melatonin

Subfield: Endocrine and Autonomic Systems

Field: Neuroscience

Domain: Life Sciences

Open Access status: hybrid

Estimated APC paid: $4,400

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke