Burst-suppression is reactive to photic stimulation in comatose children with acquired brain injury  Dragos A. Nita, Mihai Moldovan, Roy Sharma, Sinziana.

Slides:



Advertisements
Similar presentations
Mismatch negativity and low frequency oscillations in schizophrenia families  L. Elliot Hong, Lauren V. Moran, Xiaoming Du, Patricio O’Donnell, Ann Summerfelt 
Advertisements

Cortical evoked potentials to an auditory illusion: Binaural beats
S Crottaz-Herbette, R Ragot  Clinical Neurophysiology 
Temporal-spatial characteristics of phase-amplitude coupling in electrocorticogram for human temporal lobe epilepsy  Ruihua Zhang, Ye Ren, Chunyan Liu,
Phenobarbital reduces EEG amplitude and propagation of neonatal seizures but does not alter performance of automated seizure detection  Sean R. Mathieson,
Volume 60, Issue 4, Pages (November 2008)
Spindle frequency activity may provide lateralizing information in drug-resistant nocturnal mesial frontal lobe epilepsy: A pilot study on the contribution.
Daniel Schmidt, Andresa M.C. Germano, Thomas L. Milani 
Volume 69, Issue 4, Pages (February 2011)
Volume 28, Issue 8, Pages e6 (April 2018)
Volume 88, Issue 2, Pages (October 2015)
Araceli Ramirez-Cardenas, Maria Moskaleva, Andreas Nieder 
Vincent Jacob, Julie Le Cam, Valérie Ego-Stengel, Daniel E. Shulz 
Linking Electrical Stimulation of Human Primary Visual Cortex, Size of Affected Cortical Area, Neuronal Responses, and Subjective Experience  Jonathan.
Ian M. Finn, Nicholas J. Priebe, David Ferster  Neuron 
Volume 24, Issue 5, Pages e6 (July 2018)
A Statistical Description of Plant Shoot Architecture
Ingvars Birznieks, Richard M. Vickery  Current Biology 
Predicting Value of Pain and Analgesia: Nucleus Accumbens Response to Noxious Stimuli Changes in the Presence of Chronic Pain  Marwan N. Baliki, Paul.
Volume 81, Issue 6, Pages (March 2014)
Nucleus Accumbens Neurons Are Innately Tuned for Rewarding and Aversive Taste Stimuli, Encode Their Predictors, and Are Linked to Motor Output  Mitchell.
Volume 55, Issue 3, Pages (August 2007)
A Statistical Description of Plant Shoot Architecture
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
Differential Impact of Behavioral Relevance on Quantity Coding in Primate Frontal and Parietal Neurons  Pooja Viswanathan, Andreas Nieder  Current Biology 
Brad K. Hulse, Evgueniy V. Lubenov, Athanassios G. Siapas  Cell Reports 
A Role for the Superior Colliculus in Decision Criteria
Volume 27, Issue 19, Pages e2 (October 2017)
Volume 49, Issue 3, Pages (February 2006)
Selective Entrainment of Theta Oscillations in the Dorsal Stream Causally Enhances Auditory Working Memory Performance  Philippe Albouy, Aurélien Weiss,
Volume 71, Issue 4, Pages (August 2011)
Huihui Zhou, Robert Desimone  Neuron 
Liu D. Liu, Christopher C. Pack  Neuron 
Sleep Enhances Plasticity in the Developing Visual Cortex
Place-Selective Firing of CA1 Pyramidal Cells during Sharp Wave/Ripple Network Patterns in Exploratory Behavior  Joseph O'Neill, Timothy Senior, Jozsef.
Ju Tian, Naoshige Uchida  Neuron 
Single-Unit Responses Selective for Whole Faces in the Human Amygdala
A. Saez, M. Rigotti, S. Ostojic, S. Fusi, C.D. Salzman  Neuron 
Triple Function of Synaptotagmin 7 Ensures Efficiency of High-Frequency Transmission at Central GABAergic Synapses  Chong Chen, Rachel Satterfield, Samuel.
Ana Parabucki, Ilan Lampl  Cell Reports 
Volume 29, Issue 2, Pages (February 2001)
Sharon C. Furtak, Omar J. Ahmed, Rebecca D. Burwell  Neuron 
Ryo Sasaki, Takanori Uka  Neuron  Volume 62, Issue 1, Pages (April 2009)
Volume 95, Issue 5, Pages e5 (August 2017)
Xiaomo Chen, Marc Zirnsak, Tirin Moore  Cell Reports 
Value-Based Modulations in Human Visual Cortex
Michal Rivlin-Etzion, Wei Wei, Marla B. Feller  Neuron 
Volume 19, Issue 5, Pages (May 2017)
Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex  Hesheng Liu, Yigal Agam, Joseph.
Volume 75, Issue 5, Pages (September 2012)
Daniel E. Winkowski, Eric I. Knudsen  Neuron 
Gilad A. Jacobson, Peter Rupprecht, Rainer W. Friedrich 
Volume 28, Issue 8, Pages e6 (April 2018)
Prefrontal Neurons Coding Suppression of Specific Saccades
Traces of Experience in the Lateral Entorhinal Cortex
John T. Serences, Geoffrey M. Boynton  Neuron 
Volume 23, Issue 11, Pages (June 2013)
Encoding of Oscillations by Axonal Bursts in Inferior Olive Neurons
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Volume 28, Issue 8, Pages e3 (April 2018)
Gregor Rainer, Earl K Miller  Neuron 
Biased Associative Representations in Parietal Cortex
Daniela Vallentin, Andreas Nieder  Current Biology 
Volume 21, Issue 23, Pages (December 2011)
Predicting Value of Pain and Analgesia: Nucleus Accumbens Response to Noxious Stimuli Changes in the Presence of Chronic Pain  Marwan N. Baliki, Paul.
Albert K. Lee, Matthew A. Wilson  Neuron 
Volume 29, Issue 5, Pages e4 (March 2019)
Supratim Ray, John H.R. Maunsell  Neuron 
Locomotor and Hippocampal Processing Converge in the Lateral Septum
George D. Dickinson, Ian Parker  Biophysical Journal 
Presentation transcript:

Burst-suppression is reactive to photic stimulation in comatose children with acquired brain injury  Dragos A. Nita, Mihai Moldovan, Roy Sharma, Sinziana Avramescu, Hiroshi Otsubo, Cecil D. Hahn  Clinical Neurophysiology  Volume 127, Issue 8, Pages 2921-2930 (August 2016) DOI: 10.1016/j.clinph.2016.03.029 Copyright © 2016 International Federation of Clinical Neurophysiology Terms and Conditions

Fig. 1 Quantification of binary BS pattern changes during photic stimulation. A “reactive” 60-s PS multichannel recording from patient four (P4) is presented in A. The rectified and standardized EEG (rEEG) is presented in gray. The corresponding measures of binary BS signals are indicated in black. The timing of photic stimuli (Phot) is marked with dots. Time origin is considered the onset of stimulation (seconds). The corresponding topographic map of the multichannel burst ratio (BR) distribution is presented below. The mean and SD maps of BR across all recordings is presented in B. Clinical Neurophysiology 2016 127, 2921-2930DOI: (10.1016/j.clinph.2016.03.029) Copyright © 2016 International Federation of Clinical Neurophysiology Terms and Conditions

Fig. 2 Quantification of binary BS pattern changes during photic stimulation. The multichannel EEG from patient four (P4) presented in Fig. 1 is reanalyzed by spatial averaging to compute the global field power (GFP). In panel A, the raw EEG is presented. The timing of photic stimuli is marked with vertical lines. Time origin is considered the onset of stimulation. The corresponding computed GFP is presented in panel B with the binary BS signal derived from thresholding at 75μV (details in text). The burst ratio (BR) is indicated. Clinical Neurophysiology 2016 127, 2921-2930DOI: (10.1016/j.clinph.2016.03.029) Copyright © 2016 International Federation of Clinical Neurophysiology Terms and Conditions

Fig. 3 Bursts evoked by photic stimulation. Panels A and B present 2 recordings form patient 3 (P3). Each panel depicts (from top to bottom): the global field power (GFP) during the whole session, a detailed GFP during stimulation (indicating the stimulus) and the bursts occurring within 1s after the stimuli (marked with an open symbol). The thick lines indicate the computed binary BS signal used to identify the burst onset. Both the burst ratio (BR) (in %) and the burst count (in bursts per minute – bpm) are presented. In panel C, the pooled delays between the burst and the preceding stimulus across all PS sessions (205 bursts) were used to construct a delay probability histogram. Clinical Neurophysiology 2016 127, 2921-2930DOI: (10.1016/j.clinph.2016.03.029) Copyright © 2016 International Federation of Clinical Neurophysiology Terms and Conditions

Fig. 4 Reactivity of BS to photic stimulation. In panel A, the burst ratio (BR) is presented as boxplot for the Pre, Stim and Post epochs respectively. The asterisk indicates a significant difference from Pre (Wilcoxon P<0.05). In panel B, the corresponding BR reactivity (measured as BRStim−BRPre) is plotted against BRPre. The regression line is indicated (slope −0.19; Y-intercept 16.44). The stippled line indicates the maximum theoretical reactivity, for a specific BRPre, In panel C, the group burst counts are presented as boxplots for the Pre, Stim and Post epochs. The asterisk indicates a significant difference from Pre (Wilcoxon P<0.05). Panel D presents the relationship between the BR reactivity and the increase in burst count. The regression line is indicated (slope 0.23; Y-intercept 1.29). Numerical labels indicate the patient from whom the epochs came. Clinical Neurophysiology 2016 127, 2921-2930DOI: (10.1016/j.clinph.2016.03.029) Copyright © 2016 International Federation of Clinical Neurophysiology Terms and Conditions

Fig. 5 Heart rate reactivity during photic stimulation. Panel A presents recordings from patient 3 (P3) above and patient 1 (P1) below. Each recording presents (from top to bottom): the global field power, EGC, and heart rate (HR). The computed binary BS signal used to identify the burst onset is indicated, together with the burst-suppression ratio (in%) and the burst count (in burst per minute – bpm). In panels B, C and D boxplots for the Pre, Stim and Post epochs are presented for the group heart rates, SDNN and pNN5 respectively. Asterisks indicate significant difference from Pre (Wilcoxon P<0.05). Panel E presents the relationship between the BR reactivity and the decrease in pNN5. Numerical labels indicate the patient from whom the epochs came. Clinical Neurophysiology 2016 127, 2921-2930DOI: (10.1016/j.clinph.2016.03.029) Copyright © 2016 International Federation of Clinical Neurophysiology Terms and Conditions

Fig. 6 Standardized reactivity of BR to photic stimulation. The standardized reactivity measure was calculated as the adimensional slope of the linear regression of reactivity versus BRPre constrained so that reactivity is 0 at a BRPre of 88%. An example measurement for P4 is illustrated in A (slope −0.48; Y-intercept 42.62). The absolute slope of 0.48 reflects the standardized reactivity for that patient. The relationship between standardized reactivity and the GCS score (Table 1) across all subjects is presented in B. The regression line is indicated (slope 15.08; Y-intercept 6.51). Clinical Neurophysiology 2016 127, 2921-2930DOI: (10.1016/j.clinph.2016.03.029) Copyright © 2016 International Federation of Clinical Neurophysiology Terms and Conditions