Time Courses and Time-Resolved Spectra of Firefly Bioluminescence Initiated by Two Methods of ATP Injection and Photolysis of Caged ATP

2013 ◽  
Vol 89 (6) ◽  
pp. 1490-1496 ◽  
Author(s):  
Yuki Yanagisawa ◽  
Takeshi Kageyama ◽  
Naohisa Wada ◽  
Masatoshi Tanaka ◽  
Shin-ya Ohno
Keyword(s):  
Time Resolved ◽  
Caged Atp ◽  
Firefly Bioluminescence ◽  
Time Courses

scholarly journals Photochemical Release of ATP from "Caged ATP" Studied by Time-Resolved Infrared Spectroscopy

1995 ◽  
Vol 117 (41) ◽  
pp. 10311-10316 ◽  
Author(s):  
Andreas Barth ◽  
Karin Hauser ◽  
Werner Maentele ◽  
John E. T. Corrie ◽  
David R. Trentham
Keyword(s):  
Infrared Spectroscopy ◽  
Time Resolved ◽  
Caged Atp ◽  
Time Resolved Infrared Spectroscopy

A view on phosphate ester photochemistry by time-resolved solid state NMR. Intramolecular redox reaction of caged ATP

2008 ◽  
Vol 10 (45) ◽  
pp. 6820 ◽  
Author(s):  
Alexey V. Cherepanov ◽  
Elena V. Doroshenko ◽  
Jörg Matysik ◽  
Simon de Vries ◽  
Huub J. M. De Groot
Keyword(s):  
Solid State ◽  
Redox Reaction ◽  
Solid State Nmr ◽  
Phosphate Ester ◽  
Time Resolved ◽  
Caged Atp

scholarly journals Time-Resolved Structural Studies on Insect Flight Muscle after Photolysis of Caged-ATP

1986 ◽  
Vol 50 (5) ◽  
pp. 993-997 ◽  
Author(s):  
G. Rapp ◽  
K.J. V. Poole ◽  
Y. Maeda ◽  
K. Güth ◽  
J. Hendrix ◽  
...  
Keyword(s):  
Flight Muscle ◽  
Insect Flight ◽  
Structural Studies ◽  
Insect Flight Muscle ◽  
Time Resolved ◽  
Caged Atp

scholarly journals Connectivity dynamics from wakefulness to sleep

2018 ◽  
Author(s):  
Eswar Damaraju ◽  
Enzo Tagliazucchi ◽  
Helmut Laufs ◽  
Vince D Calhoun
Keyword(s):  
Resting State ◽  
Fmri Data ◽  
Sleep Stages ◽  
Sleep State ◽  
Time Resolved ◽  
Sliding Windows ◽  
Network Time ◽  
Time Courses ◽  
Window Approach ◽  
Changes Over Time

AbstractInterest in time-resolved connectivity in fMRI has grown rapidly in recent years. The most widely used technique for studying connectivity changes over time utilizes a sliding windows approach. There has been some debate about the utility of shorter versus longer windows, the use of fixed versus adaptive windows, as well as whether observed resting state dynamics during wakefulness may be predominantly due to changes in sleep state and subject head motion. In this work we use an independent component analysis (ICA)-based pipeline applied to concurrent EEG/fMRI data collected during wakefulness and various sleep stages and show: 1) connectivity states obtained from clustering sliding windowed correlations of resting state functional network time courses well classify the sleep states obtained from EEG data, 2) using shorter sliding windows instead of longer non-overlapping windows improves the ability to capture transition dynamics even at windows as short as 30 seconds, 3) motion appears to be mostly associated with one of the states rather than spread across all of them 4) a fixed tapered sliding window approach outperforms an adaptive dynamic conditional correlation approach, and 5) consistent with prior EEG/fMRI work, we identify evidence of multiple states within the wakeful condition which are able to be classified with high accuracy. Classification of wakeful only states suggest the presence of time-varying changes in connectivity in fMRI data beyond sleep state or motion. Results also inform about advantageous technical choices, and the identification of different clusters within wakefulness that are separable suggest further studies in this direction.

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