Linda J Larson-Prior
Affiliation: Washington University School of Medicine
- Cortical network functional connectivity in the descent to sleepLinda J Larson-Prior
Department of Radiology, Washington University School of Medicine, 4525 Scott Avenue, St Louis, MO 63110, USA
Proc Natl Acad Sci U S A 106:4489-94. 2009..Rather, accumulating evidence supports the hypothesis that spontaneous BOLD fluctuations reflect processes that maintain the integrity of functional systems in the brain...
- Modulation of the brain's functional network architecture in the transition from wake to sleepLinda J Larson-Prior
Neuroimaging Laboratory, Mallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA
Prog Brain Res 193:277-94. 2011..These data clarify the complex and dynamic nature of the transitional period between wake and sleep and suggest the need for more studies investigating the dynamics of these processes...
- Human sensory-evoked responses differ coincident with either "fusion-memory" or "flash-memory", as shown by stimulus repetition-rate effectsDon L Jewett
Abratech Corporation, Sausalito, CA, USA
BMC Neurosci 7:18. 2006..We have named them "A-waves", and added a prefix to show the sensory system from which the responses were obtained (visA-waves, audA-waves, somA-waves)...
- Moving GLM ballistocardiogram artifact reduction for EEG acquired simultaneously with fMRIJustin L Vincent
Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
Clin Neurophysiol 118:981-98. 2007..We describe a new method based on a moving general linear model (mGLM) that accounts for overlapping BKG waveforms...
- Characterization of scale-free properties of human electrocorticography in awake and slow wave sleep StatesJohn M Zempel
Department of Neurology, Washington University School of Medicine, St Louis MO, USA
Front Neurol 3:76. 2012..With increasing computational tractability, the use of scale-free slope values to characterize ECoG and EEG data will have practical value in clinical and research studies...
- Facial recognition from volume-rendered magnetic resonance imaging dataFred W Prior
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
IEEE Trans Inf Technol Biomed 13:5-9. 2009..The Blyth-Still-Casella 95% confidence interval for the 40% success rate was 29%-52%, and the 40% success rate was significantly higher ( P < 0.001) than our null hypothesis success rate of 1 in 10 (0.10)...