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

Michael C. Tackenberg; Jeff R. Jones; Terry L. Page; Jacob J. Hughey

doi:10.1177/0748730418768116

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

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

Biology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	223-232
Number of pages	10
Journal	Journal of Biological Rhythms
Volume	33
Issue number	3
DOIs	https://doi.org/10.1177/0748730418768116
State	Published - Jun 1 2018

Bibliographical note

Publisher Copyright:
© 2018, © 2018 The Author(s).

Funding

The authors would like to thank Maria Luísa Jabbur, David Simon, Allison Leich Hillbun, Carl H. Johnson, and Doug McMahon for their insightful comments. This work was supported by NIH NINDS F31 NS096813 to M.C.T. and NIH NIGMS R35 GM124685 to J.J.H.

Funders	Funder number
National Institute of General Medical Sciences DP2GM119177 Sophie Dumont National Institute of General Medical Sciences	R35GM124685
Institute of Neurological Disorders and Stroke National Advisory Neurological Disorders and Stroke Council	F31 NS096813

Keywords

method
period-independent
phase analysis
phase shift
tau-independent

ASJC Scopus subject areas

Physiology
Physiology (medical)

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10.1177/0748730418768116

Cite this

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title = "Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts",

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.",

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T2 - A Novel Method for Accurately Determining Phase Shifts

AU - Tackenberg, Michael C.

AU - Jones, Jeff R.

AU - Page, Terry L.

AU - Hughey, Jacob J.

PY - 2018/6/1

Y1 - 2018/6/1

N2 - 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.

AB - 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.

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KW - period-independent

KW - phase analysis

KW - phase shift

KW - tau-independent

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M3 - Article

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AN - SCOPUS:85045250313

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

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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