Despite the importance of auditory selective attention in everyday communication, the cortical mechanisms underlying the amazing ability of human brain to focus on a sound stimulus and suppress others are not well understood. Recent studies have led to the hypothesis that alpha band oscillation (8-14Hz) is a neural signature of multimodal spatial attention. Research in multiple sensory domains has shown that alpha synchronizes in the hemisphere contralateral to unattended stimuli and desynchronizes on the hemisphere contralateral to attended stimuli, suggesting it is a marker of an inhibition process for filtering out unattended stimuli. However, further research is needed to understand the possible functional role of these alpha oscillations as well as their correlation with other cortical activity. Moreover, it is not clear whether different forms of auditory attention employ different cortical mechanisms, mediated through different brain networks. This study aims to combine brain stimulation methods (transcranial Direct/Alternative Current Stimulation) with electrophysiological measurements of electroencephalography (EEG) to measure and interpret the underlying cortical activity during different forms of auditory selective attention. More specifically, there are four studies, each of which employs behavioral tasks to test specific hypotheses. First, we studied alpha oscillatory activity during auditory spatial attention. Second, we compared and contrast cortical activity during auditory spatial and non-spatial attention. Third, we used brain stimulation to see if we can show a causal relationship between alpha oscillation and selective auditory attention performance. Lastly, we applied the existing results on alpha power to use it as a quantitative biomarker to indicate the level of spatial attention network engagement. Our results contributed to the growing body of knowledge about how the brain employs auditory selective attention for effective communication. / 2021-06-04T00:00:00Z

No description available.

No description available.

Humans tend to preferentially process information relevant to themselves. For instance, in experiments where participants learn to manipulate stimuli referenced to themselves or someone else, participants exhibit larger reward processing signals for themselves. Additionally, attention and perception are biased not only towards one’s self but those related to them. However, the aspect of processing information related to known-others has not been addressed in reward learning. Here, I sought to address this issue. Specifically, I recorded electroencephalographic (EEG) data from 15 undergraduate student participants who played a simple two-choice “bandit” gambling game where a photo presented before each gamble indicated whether it benefited either the participant, an individual they knew, or a stranger. EEG data from 64 electrodes on a standard 10-20 layout were analyzed for event-related potentials (ERPs) elicited by target photos and gambling outcomes. Post experiment, I examined the relationship between relatedness and the amplitude reward learning ERPs, namely the reward positivity and the P300, with one-way repeated measures analyses of variance. My results demonstrate that the amplitudes of reward learning ERPs are sensitive to the target of a gamble. A secondary goal of this research was to determine if these differences could be explained by attentional and perceptual responses to cues of who a given gamble was for. Indeed, stepwise linear regression analyses identified the P2, N2, and P3 indexed relevance to self as predictors of resultant reward signals. My findings provide further evidence that a reward learning system within the medial-frontal cortex is sensitive to others with varying self-relevance, which may be a function of biases in attention and perception. / Graduate

<p> The purpose of this thesis was to design, build and test a prototype artifact suppressing electroencephalogram data acquisition system (AS-EEG-DAQ-S) to collect electroencephalogram (EEG) evoked potential (EP) data during repetitive transcranial magnetic stimulation (rTMS) without the EEG signal being masked by transcranial magnetic stimulation (TMS) artifact. A functional AS-EEG-DAQ-S capable of blocking TMS artifact would provide for the first time a quantitative measurement system to assist in optimal TMS coil positioning during the rTMS treatment of depression, an alternative to electroconvulsive therapy (ECT). This thesis provides the details for an AS-EEGDAQ-S. Preliminary TMS EP results on a human subject were collected. Results showed transcallosal conduction times of 12ms to 31ms, which are consistent with those predicted and collected by other researchers in the TMS field. </p> <p> The first portion of this work provides electrode heating data for modem rTMS Paradigms for the recording ofEEG during rTMS. The concern is that during rTMS EEG electrodes can heat to an unsafe temperature. Seven electrode types were tested: silver/silver chloride, silver cup, gold cup, notched gold cup, notched silver cup, notched gold-plated silver cup, and carbon. All electrodes tested are commercially available, including the carbon electrodes designed for MRI use. The three notched electrodes tested were standard electrodes notched using metal clippers to reduce induced currents. Induced currents are responsible for electrode heating during rTMS and can cause burns to the skin. The results ,of this study show that electrode heating is a concern when collecting BEG during rTMS. However, a number of standard electrodes or slightly modified standard electrodes are suitable for recording BEG during rTMS if certain stimulating parameters are adhered to. </p> <p> The second portion of this work provides the detailed development and design of the AS-EEG-DAQ-S. Four different approaches were tested and their ability to withstand a TMS pulse compared. </p> <p> Short circuiting the input pins of a commercially available EEG amplifier was the first approach tried and yielded only marginal results due to the switches used being designed for digital logic, transistor built, and creating an undesirable offset between input pins. </p> <p> The second approach tested involved continuing to work with a commercially available EEG amplifier and implementing a sample-and-hold circuit between the patient and the EEG machine inputs. This approach had the drawback of requiring that the BEG signal be attenuated back to EEG signal levels, which are near noise amplitude levels. </p> <p> The third approach involved using a high bandwidth amplification circuit to recover quicker from the baseline voltage offset created by the TMS artifact. However, increasing the bandwidth also allows the artifact to saturate the input amplifiers, which then require on the order of 500ms to recover fully. </p> <p> The fourth approach involved combining the second and third approaches to create a high bandwidth amplifier that incorporates a sample-and-hold circuit to prevent amplifier saturation when gain is increased. The fourth approach provide the high bandwidth and artifact blocking behavior desired. </p> / Thesis / Master of Applied Science (MASc)

Assessing cognitive abilities in disorders of consciousness (DOC) relies on assessments of overt behaviour, such as the ability to follow commands. Neuroimaging has shown that absence of overt behavior does not necessarily indicate absence of covert cognition, raising questions about behaviour-only assessment. Several electroencephalographic (EEG) markers of higher cognitive functions (event-related potentials; ERPs) have shown the potential to differentiate between DOC states, as well as predict awakening and condition upon emergence. However, no one ERP has emerged with sensitivity and specificity high enough to be widely accepted, showing that further investigation is needed. More recently, evidence has emerged for fluctuations of ERP detectability in DOC over the course of several hours, and for prognostic power of changes in ERP presentation between testing sessions. This investigation builds on such findings towards improving evaluation of cognition in DOC. A testing battery combining several well-known auditory ERPs was administered to a comatose patient over a 24-hour period during two recording sessions one week apart, as well as to a sample of healthy young adults. The patient scored 3 and 6 on the Glasgow Coma Scale (GCS) during the first and second session, respectively. The results show that changes in GCS score were accompanied by changes in ERP detectability. The results also suggest detectability fluctuations over the course of 24 hours, which in turn suggests that repeated testing is necessary for complete evaluation. Future work should validate these findings with a larger sample; additionally, establishing population norms for single-subject prevalence, latency, and amplitude of ERPs would improve confidence in interpreting patient results. With the current understanding of both healthy and DOC ERPs, detecting ERP presence may contribute to a positive DOC prognosis with a degree of confidence, but caution must be exercised in making negative prognoses or high-stakes care decisions based on ERP absence. / Thesis / Master of Science (MSc) / Assessing cognitive abilities in disorders of consciousness such as coma currently relies on assessments of overt behaviour, such as the ability to follow commands or react to a stimulus. Neuroimaging has shown that absence of overt behavior does not necessarily indicate absence of covert cognition, raising questions about behaviour-only assessment. This study describes a neuroimaging testing battery aimed at evaluating a hierarchy of cognitive functions without the need for a behavioural response by measuring brain activity driven by auditory stimulation. This battery was administered to a comatose patient over a 24-hour period during two recording sessions one week apart, as well as to a sample of healthy young adults. The results show that changes in the patient’s condition between testing sessions was accompanied by detectable and quantifiable change in their stimulus-driven brain activity. The results also suggest fluctuations in the patient’s ability to produce detectable responses over the course of 24 hours, which in turn suggests that repeated testing is necessary for a complete evaluation. Overall, neuroimaging provides a promising avenue for non-behavioral assessment of cognition, which will greatly benefit a population whose physical faculties may be compromised.

Humans must process fleeting auditory information in real time, such as speech and music. The amplitude modulation of the acoustic waveforms of speech and music is rhythmically organized in time, following, for example, the beats of music or the syllables of speech, and this property enables temporal prediction and proactive perceptual optimization. At the neural level, external rhythmic sensory input entrains internal neural oscillatory activities, including low-frequency (e.g., delta, 1-4 Hz) phase, high-frequency (e.g., beta, 15-25 Hz) power, and their phase-amplitude coupling. These neural entrainment activities represent internal temporal prediction and proactive perceptual optimization. The present thesis investigated two critical but previously unsolved questions. First, do these multiple entrainment mechanisms for tracking auditory rhythm have distinct but coordinated perceptual functions? Second, does regularity in the temporal (when) domain associate with prediction and perception in the orthogonal spectral (what) domain of audition? This thesis addressed these topics by combining electroencephalography (EEG), psychophysics, and statistical modeling approaches. Chapter II shows that beta power entrainment reflects both rhythmic temporal prediction (when events are expected) and violation of spectral information prediction (what events are expected). Chapter III further demonstrates that degree of beta power entrainment prior to a pitch change reflects how well an upcoming pitch change will be predicted. Chapter IV reveals that rhythmic organization of sensory input proactively facilitates pitch perception. Trial-by-trial behavioural-neural associations suggested that delta phase entrainment reflects temporal expectation, beta power entrainment reflects temporal attention, and their phase-amplitude coupling reflects the alignment of these two perceptual mechanisms and is associated with auditory-motor communication. Together, this thesis advanced our understanding of how neural entrainment mechanisms relate to perceptual functions for tracking auditory events in time, which are essential for perceiving speech and music. / Thesis / Doctor of Science (PhD) / Perceiving speech and musical sounds in real time is challenging, because they occur in rapid succession and each sound masks the previous one. Rhythmic timing regularities (e.g., musical beats, speech syllable onsets) may greatly aid in overcoming this challenge, because timing regularity enables the brain to make temporal predictions and, thereby, anticipatorily prepare for perceiving upcoming sounds. This thesis investigated the perceptual and neural mechanisms for tracking auditory rhythm and enhancing perception. Perceptually, rhythmic regularity in streams of tones facilitates pitch perception. Neurally, multiple neural oscillatory activities (high-frequency power, low-frequency phase, and their coupling) track auditory inputs, and they are associated with distinct perceptual mechanisms (enhancing sensitivity or decreasing reaction time), and these mechanisms are coordinated to proactively track rhythmic regularity and enhance audition. The findings start the discussion of answering how the human brain is able to process and understand the information in rapid speech and musical streams.

The brain is a highly complex network of nonlinear systems with internal dynamic states that are not easily quantified. As a result, it is essential to understand the properties of the connectivity network linking disparate parts of the brain used in complex cognitive processes, such as working memory. Working memory is the system in control of temporary retention and online organization of thoughts for successful goal directed behavior. Individuals exhibit a typically small capacity limit on the number of items that can be simultaneously retained in working memory. To modify network connections and thereby augment working memory capacity, researchers have targeted brain areas using a variety of noninvasive stimulation interventions. However, few existing methods take advantage of the brain's own structure to actively generate and entrain internal oscillatory modulations in locations deep within the auditory pathways. One technique is known as binaural beats, which arises from the brain's interpretation of two pure tones, with a small frequency mismatch, delivered independently to each ear. The mismatch between these tones is perceived as a so-called beat frequency which can be used to modulate behavioral performance and cortical connectivity. Currently, all binaural stimulation therapeutic systems are open-loop "one-size-fits-all" approaches. However, these methods can prove not as effective because each person's brain responds slightly differently to exogenous stimuli. Therefore, the driving motivation for developing a closed-loop stimulation system is to help populations with large individual variability. One such example is persons with mild cognitive impairment (MCI), which causes cognitive impairments beyond those expected based on age. Therefore, applying a closed-loop binaural beat control system to increase the cognitive load level to people with MCI could potentially maintain their quality of life. In this dissertation, I will present a comparison of algorithms to determine brain connectivity, results of open-loop based binaural stimulation, the development of a closed-loop brain network simulation platform, and finally an experimental study to determine the effectiveness of closed-loop control to modulate brain networks hence influencing cognitive abilities. / Ph. D. / In order to do complex tasks, such as creating a memory, multiple regions of the brain must interact to become a network. Specifically for this work, we are looking at working memory which is the system that allows us to remember and manipulate information in the presence of additional incoming information. Working memory capacity, which is the number of items we can remember, is dependent upon synchronization between particular regions of the brain, particularly the frontal and parietal lobes. Higher synchronization means that people will, on average, respond with higher accuracy during a working memory task. To modify the connections in the network and thereby augment working memory capacity, a non-invasive brain stimulation technique called binaural beats can be used. Binaural beats take advantage of the brain’s response to two pure tones, delivered independently to each ear, when those tones have a small frequency mismatch. The mismatch between the tones is interpreted as a beat frequency, which may act to synchronize brain waves. This research seeks to answer the question of whether binaural beats can be used to identify and control working memory. Currently, nearly all therapeutic stimulation systems are open-loop “one-size-fits-all” approaches. However, these methods can prove not as effective because each person’s brain responds slightly differently to external stimuli. Therefore, the driving motivation for developing a closed-loop stimulation system is to help populations with large individual variability. One such example is persons with mild cognitive impairment (MCI) which is considered a precursor to Alzheimer’s. Therefore, applying a closed-loop binaural beat control system to increase the cognitive load level to people with MCI could potentially maintain their quality of life. In this dissertation, we have showed that we can successfully increase the connectivity in the brain using binaural beats in a closed-loop system.

Quantitative electroencephalography (QEEG) was used in this study to describe cognitive processing, particularly brain locations used, during performance of the Wisconsin Card Sorting Test (WCST). The hypothesis was that significant cognitive functioning is not limited to the frontal lobes. Significant EEG activity was found in non-frontal areas as well as frontal areas.

The purpose of this study was to examine the effects of music training on electroencephalographic (EEG) coherence of preschool children. EEG coherence is a measurement of brain wave activity that reflects anatomical and neurophysiological parameters and functional connectivity between areas of the brain. Participants were 4- to 6-year-old children divided into two groups: one received music training for 20 minutes twice a week for 10 weeks while the other group served as controls. Nineteen channels of EEG data were collected from each child pre- and post-training. Data were collected from three conditions: eyes-open resting, listening to music, and performing the Object Assembly subtest of the Weschler Preschool and Primary Scale of Intelligence - Revised (1989). The hypothesis was that the music training group would show increased EEG coherence as compared to controls. The EEG data was reduced into seven bandwidths and analyzed separately for each condition. Multiple ANCOVAs were used to factor out pre-test variability and to maximize connectivity changes between the two groups. The dependent measures were the post-QEEG electrode pairs and the covariates were the pre-QEEG electrode pairs. Results indicated the eyes-open and listening to music conditions showed more significant changes between the groups than the Object Assembly condition. Overall, each condition showed increased connectivity for the music training group versus controls. The eyes-open condition differentiated children with and without music training during a resting condition, and showed similar patterns as those identified by other researchers comparing musicians versus nonmusicians. The listening to music condition identified connections including a topographical pattern of auditory analysis, increased working memory activation, increased activity between musically sensitive areas, and increased interhemispheric activity. Findings with the Object Assembly condition were not as robust as expected. However, patterns of increased connectivity associated with visuospatial processing were found with the music training group.