R
Rose T. Faghih
Researcher at University of Houston
Publications - 59
Citations - 806
Rose T. Faghih is an academic researcher from University of Houston. The author has contributed to research in topics: Cortisol secretion & Computer science. The author has an hindex of 15, co-authored 50 publications receiving 556 citations. Previous affiliations of Rose T. Faghih include Massachusetts Institute of Technology & Harvard University.
Papers
More filters
Journal ArticleDOI
External periodic driving of large systems of globally coupled phase oscillators.
TL;DR: Large systems of coupled oscillators subjected to a periodic external drive occur in many situations in physics and biology and here the simple paradigmatic case of equal strength, all-to-all sine coupling of phase oscillators subject to a sinusoidal external drive is considered.
Journal ArticleDOI
Altered ultradian cortisol rhythmicity as a potential neurobiologic substrate for chronic insomnia.
Ivan Vargas,Alexandros N. Vgontzas,James L. Abelson,Rose T. Faghih,Knashawn H. Morales,Michael L. Perlis +5 more
TL;DR: The current review summarizes the literature on cortisol rhythmicity in subjects with chronic insomnia, and proffers the suggestion that it may be abnormalities in the ultradian rather than circadian cortisol that is associated with the pathophysiology of insomnia.
Journal ArticleDOI
Deconvolution of serum cortisol levels by using compressed sensing.
TL;DR: Identification of the amplitude and timing of pulsatile hormone release allows quantifying of normal and abnormal secretion patterns towards the goal of understanding pathological neuroendocrine states, and potentially designing optimal approaches for treating hormonal disorders.
Proceedings ArticleDOI
Characterization of fear conditioning and fear extinction by analysis of electrodermal activity
Rose T. Faghih,Patrick A. Stokes,Marie-France Marin,Rachel G. Zsido,Samuel Zorowitz,Blake L. Rosenbaum,Hui-Jin Song,Mohammed R. Milad,Darin D. Dougherty,Emad N. Eskandar,Alik S. Widge,Emery N. Brown,Riccardo Barbieri +12 more
TL;DR: An ordinary differential equation model based on sudomotor nerve activity is proposed, and the results show that the model is able to recover the underlying stimulus and show that fear level decreases as visual cues are presented without shock, suggesting that this feature might be used to estimate the fear state.
Proceedings ArticleDOI
A State-Space Approach for Detecting Stress from Electrodermal Activity.
TL;DR: This paper relates stress to the probability that a phasic driver impulse occurs in skin conductance signals and applies state-space modeling to extracted binary measures to continuously track a stress level across episodes of cognitive and emotional stress as well as relaxation.