Mary Brooks’s research while affiliated with Concordia University and other places

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Publications (2)


The neurophysiology of closed-loop auditory stimulation in sleep: A magnetoencephalography study
  • Article

September 2023

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89 Reads

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5 Citations

European Journal of Neuroscience

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Raphaëlle Merlo

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Mary Brooks

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[...]

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Closed-loop auditory stimulation (CLAS) is a brain modulation technique in which sounds are timed to enhance or disrupt endogenous neurophysiological events. CLAS of slow oscillation up-states in sleep is becoming a popular tool to study and enhance sleep's functions, as it increases slow oscillations, evokes sleep spindles and enhances memory consolidation of certain tasks. However, few studies have examined the specific neurophysiological mechanisms involved in CLAS, in part because of practical limitations to available tools. To evaluate evidence for possible models of how sound stimulation during brain up-states alters brain activity, we simultaneously recorded electro- and magnetoencephalography in human participants who received auditory stimulation across sleep stages. We conducted a series of analyses that test different models of pathways through which CLAS of slow oscillations may affect widespread neural activity that have been suggested in literature, using spatial information, timing and phase relationships in the source-localized magnetoencephalography data. The results suggest that auditory information reaches ventral frontal lobe areas via non-lemniscal pathways. From there, a slow oscillation is created and propagated. We demonstrate that while the state of excitability of tissue in auditory cortex and frontal ventral regions shows some synchrony with the electroencephalography (EEG)-recorded up-states that are commonly used for CLAS, it is the state of ventral frontal regions that is most critical for slow oscillation generation. Our findings advance models of how CLAS leads to enhancement of slow oscillations, sleep spindles and associated cognitive benefits and offer insight into how the effectiveness of brain stimulation techniques can be improved.


Fig. 2. Evoked responses over sleep stages, in EEG (Cz). a) Time series of the auditory evoked responses showing the appearance and evolution of late evoked components (N350, N550, P900) in deeper NREM sleep stages. Coloured lines show means across participants; shaded areas indicate standard error. Grey rectangles indicate time ranges of interest that are used for further analysis. Asterisks denote significant differences between Wake and deeper sleep conditions (Wilcoxon signed-rank test on the means; p < .05). b) Amplitudes of the P200 component show little change across sleep stages. Conversely, amplitudes c) at N350 and d) peak-to-trough differences between P900 and N550 are stronger in deeper NREM sleep stages than in Wake.
Fig. 3. Topographies of a) evoked activity differences between wake and NREM sleep (stages N2 and N3 combined). Red indicates more activity change relative to prestimulus baseline during the auditory-evoked N550-P900 complex in sleep as compared to wake. The evoked N550-P900 complex is specific to sleep and shows widespread activity change in ventral and orbital frontal areas (see also Figure 2b,d for topographies of evoked activity in NREM sleep over time). b) Topography of slow frequency oscillatory activity during N2 & N3 sleep stages (as indexed using FOOOF), for reference.
Fig. 4. Topographies of evoked activity in NREM sleep over time (stages N2 & N3 are combined). Brighter red indicates relatively more activity change relative to pre-stimulus baseline. The EEG time series of evoked responses for Wake and N2&N3 is shown (bottom) for reference. Sleep spindles evoked by sound in sleep. To evaluate differences in how sound evokes sleep spindles across stages of con-422
Fig. 5. Sound-evoked sleep spindles in EEG (Cz). a) The time-frequency plot averaged across all subjects (left) shows increased spindle power in N2&N3 sleep 0.6 to 1.2 s after sound onset in a frequency band of 11 to 14 Hz (white rectangle). Spindle power in that frequency range as compared with spindle power in the pre-stimulus baseline (-0.6 to 0 ms) is shown at right. Asterisks denote significant differences between Wake and N2 & N3. b) Spindle activity is positively related to evoked N550-P900 complex amplitude. When epochs are divided according to the strength of the slow oscillation that they produce (i.e., Top vs. Bottom 25%), stronger spindle power is observed to be coincident with stronger N550-P900 complexes in the EEG time-frequency plot (left), and extracted values are higher across subjects (right). Asterisks indicate a significant difference between Wake and deeper sleep conditions (Wilcoxon signed-rank test on the means; p < .05). c) The topography of spindle power differences (in MEG) according to evoked N550-P900 complex strength (Top vs. Bottom 25% of N550-P900 complexes averaged across subjects) shows increased activity in thalamus and frontal midline structures coincident with stronger N550-P900 complexes. d) The topography of spindle power in the 11-17 Hz range across all N2 & N3 sleep epochs, for comparison.
Fig. 6. Evoked responses in N2 & N3. a)Time series, averaged across subjects and hemispheres, for each region of interest. b) Schematic view of regions of interest. c) P200 amplitude differences between Wake and N2 & N3 for each region of interest and each hemisphere. d) N550-P900 complex amplitude differences between Wake and N2 & N3 for each region of interest and each hemisphere. Asterisks denote significant differences between Wake and N2 & N3 (p < .01).
The neurophysiology of closed-loop auditory stimulation in sleep: a MEG study
  • Preprint
  • File available

December 2022

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247 Reads

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1 Citation

Closed-loop auditory stimulation (CLAS) is a brain modulation technique in which sounds are timed to enhance or disrupt endogenous neurophysiological events. CLAS of slow oscillation up-states in sleep is becoming a popular tool to study and potentially enhance sleep's functions, as it can increase slow oscillations, evoke sleep spindles, and enhance memory consolidation of certain tasks. However, few studies have examined the specific neurophysiological mechanisms involved in CLAS, in part because of practical limitations to commonly-used tools. To evaluate evidence for possible models of how sound stimulation during brain up-states might generate slow oscillations, we simultaneously recorded electro- and magnetoencephalography in human participants who received auditory stimulation across sleep stages and neural oscillation phases. The results suggest that auditory information reaches ventral frontal lobe areas via non-lemniscal pathways. From there, a slow oscillation is created and propagated. We demonstrate that while the state of excitability of tissue in auditory cortex and frontal ventral regions shows some synchrony with the EEG-recorded up-states that are commonly used for CLAS, it is the state of ventral frontal regions that is most critical for slow oscillation generation. Our findings advance models of how CLAS leads to enhancement of slow oscillations, sleep spindles, and associated cognitive benefits, and offer insight into how the effectiveness of brain stimulation techniques can be improved.

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Citations (1)


... This technique is called closed-loop auditory stimulation, or CLAS (for recent reviews, see (29,30)). Evidence suggests this phenomenon is likely to be mediated through the activation of nonlemniscal ascending auditory pathways, which project broadly to association areas including frontal regions (along with secondary auditory areas), likely also involving the ascending reticular activating system (31,32). Measuring the ability of CLAS to generate additional SOs and spindles therefore offers the prospect of assessing how this pathway functions in the presence of sleep spindles, in addition to measuring auditory-modality-specific evoked responses. ...

Reference:

Auditory processing up to cortex is maintained during sleep spindles
The neurophysiology of closed-loop auditory stimulation in sleep: A magnetoencephalography study
  • Citing Article
  • September 2023

European Journal of Neuroscience