Advances in the Application of Technology to Epilepsy: The CIMIT/NIO Epilepsy Innovation Summit

Schachter, Steven C.; Guttag, John V.; Schomer, Donald L.; Akhtari, Massoud; Bailey, Eric M.; Baptiste, Shirn L.; Barkley, Gregory L.; Beggs, John M.; Beland, Renée; Besio, Walter G.; Binder, Devin K.; Bonato, Paolo; Bromfield, Edward B; Brunner, Peter; Carlson, Chad; Cash, Sydney S.; Cole, Andrew J.; Commowick, Olivier; Devinsky, Orrin; Doyle, Werner; Dunseath, Ross; Engel, Jerome; Eskandar, Emad N.; Fregni, Felipe; Frei, Mark G.; French, Jacqueline; Gale, Karen; Gallagher, Anne; Graves, Nina M.; Gross, Robert E.; Halgren, Eric; Hochberg, Leigh R.; Hsu, David; M, Hsu; Iasemidis, Leonidas D.; Irazoqui, Pedro P.; Koka, Kanthaiah; Kuzniecky, Ruben; Lassonde, Maryse; Leporé, Franco; Ludvig, Nándor; Madsen, Joseph R.; Mancinelli, Chiara; McGlone, Francis; Medveczky, Geza; Medvedev, Andrei V.; Morrell, Martha J.; Nguyen, Dang Khoa; Osorio, Ivan; Pang, Trudy; Patel, Shyamal; Patritti, Benjamin L.; Potter, Steve M.; Rickus, Jenna L.; Ritaccio, Anthony L.; Rogawski, Michael A.; Rolston, John D.; Rotenberg, Alexander; Rothman, Steven M.; Sackellares, J. Chris; Schalk, Gerwin; Shoeb, Ali; Strangman, Gary E.; Tang, Hai; Terry, Reese S.; Thesen, Thomas; Truccolo, Wilson; Ulbert, István; Warfield, Simon K.; Zhang, Quan

doi:10.1016/j.yebeh.2009.06.028

Cited by 42 publications

(30 citation statements)

References 240 publications

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“…EEG was recorded with an fMRI-compatible device (fEEG, Kappametrics, Inc., Virginia, US) that reduces fMRI and ballistocardiographic noise to allow visualization of cerebrally generated signals (Schachter et al, 2009). Each imaging session included multiple EEG-fMRI recordings with durations that ranged from 3.5 to 15 minutes.…”

Section: Methodsmentioning

confidence: 99%

Functional MRI of sleep spindles and K-complexes

Caporro

Haneef

Yeh

et al. 2012

Clinical Neurophysiology

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Objective Sleep spindles and K-complexes are EEG hallmarks of non-REM sleep. However, the brain regions generating these discharges and the functional connections of their generators to other regions are not fully known. We investigated the neuroanatomical correlates of spindles and K-complexes using simultaneous EEG and fMRI. Methods EEGs recorded during EEG-fMRI studies of 7 individuals were used for fMRI analysis. Higher-level group analyses were performed, and images were thresholded at Z≥2.3. Result fMRI of 106 spindles and 60 K-complexes was analyzed. Spindles corresponded to increased signal in thalami and posterior cingulate, and right precuneus, putamen, paracentral cortex, and temporal lobe. K-complexes corresponded to increased signal in thalami, superior temporal lobes, paracentral gyri, and medial regions of the occipital, parietal and frontal lobes. Neither corresponded to regions of decreased signal. Conclusions fMRI of both spindles and K-complexes depicts signal subjacent to the vertex, which likely indicates each discharges’ source. The thalamic signal is consistent with thalamic involvement in sleep homeostasis. The limbic region’s signal is consistent with roles in memory consolidation. Unlike the spindle, the K-complex corresponds to extensive signal in primary sensory cortices. Significance Identification of these active regions contributes to the understanding of sleep networks and the physiology of awareness and memory during sleep.

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Section: Methodsmentioning

confidence: 99%

Functional MRI of sleep spindles and K-complexes

Caporro

Haneef

Yeh

et al. 2012

Clinical Neurophysiology

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“…Syncope, smaller strokes, epilepsy, hot flashes, and sleep apnea all fall in this category, and each can be a serious medical condition and a major source of medical costs. [12][13][14] Many of the associated transient symptoms generate observable changes in functional, hemodynamic, or metabolic parameters such as tissue blood volume and oxygenation changes, but that dissipate after the event. Thus, development of instrumentation to continuously and unobtrusively monitor tissue blood volume and tissue oxygen consumption could be not only convenient but potentially essential for improved diagnosis, understanding, and management of a wide range of medical conditions.…”

Section: Introductionmentioning

confidence: 99%

Development of motion resistant instrumentation for ambulatory near-infrared spectroscopy

2011

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Abstract. Ambulatory near-infrared spectroscopy (aNIRS) enables recording of systemic or tissue-specific hemodynamics and oxygenation during a person's normal activities. It has particular potential for the diagnosis and management of health problems with unpredictable and transient hemodynamic symptoms, or medical conditions requiring continuous, long-duration monitoring. aNIRS is also needed in conditions where regular monitoring or imaging cannot be applied, including remote environments such as during spaceflight or at high altitude. One key to the successful application of aNIRS is reducing the impact of motion artifacts in aNIRS recordings. In this paper, we describe the development of a novel prototype aNIRS monitor, called NINscan, and our efforts to reduce motion artifacts in aNIRS monitoring. Powered by 2 AA size batteries and weighting 350 g, NINscan records NIRS, ECG, respiration, and acceleration for up to 14 h at a 250 Hz sampling rate. The system's performance and resistance to motion is demonstrated by long term quantitative phantom tests, Valsalva maneuver tests, and multiparameter monitoring during parabolic flight and high altitude hiking. To the best of our knowledge, this is the first report of multiparameter aNIRS monitoring and its application in parabolic flight. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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“…The counterpart to responsive stimulation is state control [108]. In this method, stimulation is continuous, but altered by ongoing activity.…”

Section: Bidirectional Interfacesmentioning

confidence: 99%