Mapping neural dynamics underlying saccade preparation and execution and their relation to reaction time and direction errors.

Our ability to control and inhibit automatic behaviors is crucial for negotiating complex environments, all of which require rapid communication between sensory, motor, and cognitive networks. Here, we measured neuromagnetic brain activity to investigate the neural timing of cortical areas needed for inhibitory control, while 14 healthy young adults performed an interleaved prosaccade (look at a peripheral visual stimulus) and antisaccade (look away from stimulus) task. Analysis of how neural activity relates to saccade reaction time (SRT) and occurrence of direction errors (look at stimulus on antisaccade trials) provides insight into inhibitory control. Neuromagnetic source activity was used to extract stimulus-aligned and saccade-aligned activity to examine temporal differences between prosaccade and antisaccade trials in brain regions associated with saccade control. For stimulus-aligned antisaccade trials, a longer SRT was associated with delayed onset of neural activity within the ipsilateral parietal eye field (PEF) and bilateral frontal eye field (FEF). Saccade-aligned activity demonstrated peak activation 10ms before saccade-onset within the contralateral PEF for prosaccade trials and within the bilateral FEF for antisaccade trials. In addition, failure to inhibit prosaccades on anti-saccade trials was associated with increased activity prior to saccade onset within the FEF contralateral to the peripheral stimulus. This work on dynamic activity adds to our knowledge that direction errors were due, at least in part, to a failure to inhibit automatic prosaccades. These findings provide novel evidence in humans regarding the temporal dynamics within oculomotor areas needed for saccade programming and the role frontal brain regions have on top-down inhibitory control.

Complementary roles of cortical oscillations in automatic and controlled processing during rapid serial tasks.

Cognitive control may involve adjusting behaviour by inhibiting or altering habitual actions, requiring rapid communication between sensory, cognitive, and motor systems of the brain. Cognitive control may be achieved using top-down processing from frontal areas to inhibit prepared responses, likely mediated through frontal theta (4-8 Hz) oscillations. However there is conflicting evidence for mechanisms of response inhibition, where global and selective inhibition are either considered separate processes, or frontal areas maintain and execute goal-directed actions, including inhibition. In the current study we measured neuromagnetic oscillatory brain activity in twelve adults responding to rapidly presented visual cues. We used two tasks in the same subjects that required inhibition of a habitual "go" response. Presentation of infrequent "target" cues required subjects to completely inhibit responding (go/no-go task) or to perform an alternate response (go/switch task). Source analysis of oscillatory brain activity was compared for correct no-go and switch trials as well as error trials ("go" responses to targets). Frontal theta activity was similar in cortical location, amplitude and time course for correct no-go and switch responses reflecting an equivalent role in both global and selective response inhibition. Error-related frontal theta activity was also observed but was different in source location (errors vs correct, both tasks: p<0.005) and power (go/switch>go/no-go error, correct switch power, p=0.01). We additionally observed sensorimotor high gamma (60-90 Hz) activity accompanying motor responses, which was markedly stronger for correct switch and error responses compared with go responses, and was delayed for errors (p<0.01). These results suggest that gamma signals in the motor cortex may function to integrate inhibitory signals with sensorimotor processing, and may represent a mechanism for the overriding of habitual behaviours, as errors were predicted by a delay in gamma onset. This study supports a role for frontal areas in maintaining and executing goal-directed actions, and demonstrates that frontal theta activity and sensorimotor gamma oscillations have distinct yet complementary functional roles in monitoring and modifying habitual motor plans.

Insight into motor control and motor impairment from stroke and beta oscillations.

Beta oscillations are associated with motor function and are thought to play a role in movement impairment. In a recent magnetoencephalography (MEG) study, Rossiter et al. (J Neurophysiol 112: 2053-2058, 2014) found a disruption in the modulation of movement-related beta oscillations in stroke patients that correlated with motor impairment. We discuss how beta oscillatory measures characterize motor impairment, the implications of stroke variability, and the potential role of GABA in modulating oscillations following stroke and during stroke recovery.

Inhibitory Control in the Absence of Awareness: Interactions Between Frontal and Motor Cortex Oscillations Mediate Implicitly Learned Responses.

Cognitive control of action is associated with conscious effort and is hypothesised to be reflected by increased frontal theta activity. However, the functional role of these increases in theta power, and how they contribute to cognitive control remains unknown. We conducted an MEG study to test the hypothesis that frontal theta oscillations interact with sensorimotor signals in order to produce controlled behaviour, and that the strength of these interactions will vary with the amount of control required. We measured neuromagnetic activity in 16 healthy adults performing a response inhibition (Go/Switch) task, known from previous work to modulate cognitive control requirements using hidden patterns of Go and Switch cues. Learning was confirmed by reduced reaction times (RT) to patterned compared to random Switch cues. Concurrent measures of pupil diameter revealed changes in subjective cognitive effort with stimulus probability, even in the absence of measurable behavioural differences, revealing instances of covert variations in cognitive effort. Significant theta oscillations were found in five frontal brain regions, with theta power in the right middle frontal and right premotor cortices parametrically increasing with cognitive effort. Similar increases in oscillatory power were also observed in motor cortical gamma, suggesting an interaction. Right middle frontal and right precentral theta activity predicted changes in pupil diameter across all experimental conditions, demonstrating a close relationship between frontal theta increases and cognitive control. Although no theta-gamma cross-frequency coupling was found, long-range theta phase coherence among the five significant sources between bilateral middle frontal, right inferior frontal, and bilateral premotor areas was found, thus providing a mechanism for the relay of cognitive control between frontal and motor areas via theta signalling. Furthermore, this provides the first evidence for the sensitivity of frontal theta oscillations to implicit motor learning and its effects on cognitive load. More generally these results present a possible a mechanism for this frontal theta network to coordinate response preparation, inhibition and execution.

Complexity-Dependent Modulations of Beta Oscillations for Verbal and Nonverbal Movements.

Purpose The planning and execution of motor behaviors require coordination of neurons that are established through synchronization of neural activity. Movements are typically preceded by event-related desynchronization (ERD) in the beta range (15-30 Hz) primarily localized in the motor cortex, while movement onset is associated with event-related synchronization (ERS). It is hypothesized that ERD is important for movement preparation and execution, and ERS serves to inhibit movement and update the motor plan. The primary objective of this study was to determine to what extent movement-related oscillatory brain patterns (ERD and ERS) during verbal and nonverbal tasks may be affected differentially by variations in task complexity. Method Seventeen right-handed adult participants (nine women, eight men; M age = 25.8 years, SD = 5.13) completed a sequential button press and verbal task. The final analyses included data for 15 participants for the nonverbal task and 13 for the verbal task. Both tasks consisted of two complexity levels: simple and complex sequences. Magnetoencephalography was used to record modulations in beta band brain oscillations during task performance. Results Both the verbal and button press tasks were characterized by significant premovement ERD and postmovement ERS. However, only simple sequences showed a distinct transient synchronization during the premovement phase of the task. Differences between the two tasks were reflected in both latency and peak amplitude of ERD and ERS, as well as in lateralization of oscillations. Conclusions Both verbal and nonverbal movements showed a significant desynchronization of beta oscillations during the movement preparation and holding phase and a resynchronization upon movement termination. Importantly, the premovement phase for simple but not complex tasks was characterized by a transient partial synchronization. In addition, the data revealed significant differences between the two tasks in terms of lateralization of oscillatory modulations. Our findings suggest that, while data from the general motor control research can inform our understanding of speech motor control, significant differences exist between the two motor systems that caution against overgeneralization of underlying neural control processes.

Pupillary responses and reaction times index different cognitive processes in a combined Go/Switch incidental learning task.

In previous studies we have provided evidence that performance in speeded response tasks with infrequent target stimuli reflects both automatic and controlled cognitive processes, based on differences in reaction time (RT) and task-related brain responses (Cheyne et al. 2012, Isabella et al. 2015). Here we test the hypothesis that such shifts in cognitive control may be influenced by changes in cognitive load related to stimulus predictability, and that these changes can be indexed by task-evoked pupillary responses (TEPR). We manipulated stimulus predictability using fixed stimulus sequences that were unknown to the participants in a Go/Switch task (requiring a switch response on 25% of trials) while monitoring TEPR as a measure of cognitive load in 12 healthy adults. Results showed significant improvement in performance (reduced RT, increased efficiency) for repeated sequences compared to occasional deviant sequences (10% probability) indicating that incidental learning of the predictable sequences facilitated performance. All behavioral measures varied between Switch and Go trials (RT, efficiency), however mean TEPR amplitude (mTEPR) and latency to maximum pupil dilation were particularly sensitive to Go/Switch. Results were consistent with the hypothesis that mTEPR indexes cognitive load, whereas TEPR latency indexes time to response selection, independent from response execution. The present study provides evidence that incidental pattern learning during response inhibition tasks may modulate several cognitive processes including cognitive load, effort, response selection and execution, which can in turn have differential effects on measures of performance. In particular, we demonstrate that reaction time may not be indicative of underlying cognitive load.

BrainWave: A Matlab Toolbox for Beamformer Source Analysis of MEG Data.

BrainWave is an easy-to-use Matlab toolbox for the analysis of magnetoencephalography data. It provides a graphical user interface for performing minimum-variance beamforming analysis with rapid and interactive visualization of evoked and induced brain activity. This article provides an overview of the main features of BrainWave with a step-by-step demonstration of how to proceed from raw experimental data to group source images and time series analyses. This includes data selection and pre-processing, magnetic resonance image co-registration and normalization procedures, and the generation of volumetric (whole-brain) or cortical surface based source images, and corresponding source time series as virtual sensor waveforms and their time-frequency representations. We illustrate these steps using example data from a recently published study on response inhibition (Isabella et al., 2015) using the sustained attention to response task paradigm in 12 healthy adult participants. In this task participants were required to press a button with their right index finger to a rapidly presented series of numerical digits and withhold their response to an infrequently presented target digit. This paradigm elicited movement-locked brain responses, as well as task-related modulation of brain rhythmic activity in different frequency bands (e.g., theta, beta, and gamma), and is used to illustrate two different types of source reconstruction implemented in the BrainWave toolbox: (1) event-related beamforming of averaged brain responses and (2) beamformer analysis of modulation of rhythmic brain activity using the synthetic aperture magnetometry algorithm. We also demonstrate the ability to generate group contrast images between different response types, using the example of frontal theta activation patterns during error responses (failure to withhold on target trials). BrainWave is free academic software available for download at http://cheynelab.utoronto.ca/brainwave along with supporting software and documentation. The development of the BrainWave toolbox was supported by grants from the Canadian Institutes of Health Research, the National Research and Engineering Research Council of Canada, and the Ontario Brain Institute.

Effects of different stimulation parameters on the antidepressant-like response of medial prefrontal cortex deep brain stimulation in rats.

Subcallosal cingulate gyrus (SCG) deep brain stimulation (DBS) is currently being investigated as a treatment for major depression. Despite the encouraging findings of the initial clinical series, several questions remain unanswered, including the most effective stimulation parameters (i.e., current intensity and frequency) and whether unilateral stimulation is also beneficial. We have recently found that some of the effects of SCG DBS could be modeled by stimulating the ventromedial prefrontal cortex (vmPFC) of rats undergoing the forced swim test (FST). Here we investigate whether changes in a number of DBS parameters, including electrode placement, influence outcome in this paradigm. Overall, we found that the antidepressant-like effects of DBS varied as a function of stimulation settings and target. The strongest response was observed with a current intensity of 200 microA, followed by 100 microA, and 300 microA. In contrast, 400 microA produced no effect. Using 200 microA, a frequency of 130 Hz was more effective than 20 Hz. An intriguing finding was that left unilateral stimulation was as effective as bilateral DBS. When different targets within the vmPFC were considered, a significant antidepressant-like response was observed after PL DBS, whereas IL stimulation was associated with a non-significant reduction in immobility scores. In summary, vmPFC DBS at high frequency and moderate intensity led to a maximal response in the FST.