Digital Commons Network^™

Cortical Activation During Mobility In An Indoor Real-World Environment: A Mobile Eeg Study, Sam Marshall

Electronic Thesis and Dissertation Repository

Human mobility requires neurocognitive inputs to safely navigate the environment. Previous research has examined neural processes that underly walking using mobile neuroimaging technologies, yet few studies have incorporated true real-world methods without a specific task imposed on participants (e.g., dual-task, motor demands). The present study utilized mobile electroencephalography to examine and compare theta, alpha, and beta frequency band power (μV2) in young adults during sitting and walking in laboratory and real-world environments. Our findings support that mobility and environment may modulate neural activity, as we observed increased brain activation for walking compared to sitting, and for real-world walking compared to …

Neural Dynamics Of Visual Processes In Challenging Visibility Conditions, Saba Charmi Motlagh

Electronic Thesis and Dissertation Repository

In our daily visual experience, our brain effortlessly categorizes countless objects, enabling us to perceive and interpret the world around us. This core object recognition process is vital for our survival and adaptive behavior, allowing us to recognize objects despite variations in appearance. The incredible speed at which we accomplish this task is a testament to the efficiency of our visual system and the significance of visual processing is evident in the allocation of nearly half of the neocortex in primates to this function. Unraveling the intricacies of how the human visual system tackles this complex challenge has long been …

Neural Dynamics Of Target Processing In Attentional Blink, Mansoure Jahanian

Electronic Thesis and Dissertation Repository

The attentional blink (AB) phenomenon refers to the failure to report the second target (T2) if it appears 200-500 ms after the first target (T1) in a stream of rapidly presented images. The present study aimed to investigate the neural representations of target processing under conditions where AB does or does not occur. We recorded EEG and behavioral data while participants viewed a rapid sequence of natural object images embedded with two face targets presented at two lag conditions: lag 3 (targets were 252 ms apart) and lag 7 (targets were 588 ms apart). Consistent with AB, our behavioral results …

Temporal Dynamics Of Natural Sound Categorization, Ali Tafakkor

Electronic Thesis and Dissertation Repository

While extensive research has elucidated the brain’s processing of semantics from speech sound waves and their mapping onto the auditory cortex, the temporal dynamics of how meaningful non-speech sounds are processed remain less examined. Understanding these dynamics is key to resolving the debate between cascaded and parallel hierarchical processing models, both plausible given the anatomical evidence. This study investigates how semantic category information from environmental sounds is processed in the temporal domain, using electroencephalography (EEG) collected from 25 participants and representational similarity analysis (RSA) along with models of acoustic and semantic information. We examined information extracted by the brain from …

Rhythmically Modulating Neural Entrainment During Exposure To Regularities Influences Statistical Learning, Laura J. Batterink, Jerrica Mulgrew, Aaron Gibbings

Psychology Publications

The ability to discover regularities in the environment, such as syllable patterns in speech, is known as statistical learning. Previous studies have shown that statistical learning is accompanied by neural entrainment, in which neural activity temporally aligns with repeating patterns over time. However, it is unclear whether these rhythmic neural dynamics play a functional role in statistical learning, or whether they largely reflect the downstream consequences of learning, such as the enhanced perception of learned words in speech. To better understand this issue, we manipulated participants’ neural entrainment during statistical learning using continuous rhythmic visual stimulation. Participants were exposed to …

Homeostatic Normalization Of Alpha Brain Rhythms Within The Default-Mode Network And Reduced Symptoms In Post-Traumatic Stress Disorder Following A Randomized Controlled Trial Of Electroencephalogram Neurofeedback., Andrew A Nicholson, Maria Densmore, Paul A Frewen, Richard W J Neufeld, Jean Theberge, Rakesh Jetly, Ruth A Lanius, Tomas Ros

Department of Medicine Publications

Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8-12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (

The Relationship Between Multisensory Associative Learning And Multisensory Integration, Sébastien Lauzon, Arin E. Abraham, Kristina Curcin, Blake E. Butler, Ryan A. Stevenson

Neuroscience Institute Publications

Integrating sensory information from multiple modalities leads to more precise and efficient perception and behaviour. The process of determining which sensory information should be perceptually bound is reliant on both low-level stimulus features, as well as multisensory associations learned throughout development based on the statistics of our environment. Here, we explored the relationship between multisensory associative learning and multisensory integration using encephalography (EEG) and behavioural measures. Sixty-one participants completed a three-phase study. First, participants were exposed to novel audiovisual shape-tone pairings with frequent and infrequent stimulus pairings and completed a target detection task. EEG recordings of the mismatch negativity (MMN) …

Electrophysiological Study Of Sensory Sensitivity And Multisensory Integration In Autism, Michelle M. Luszawski

Undergraduate Student Research Internships Conference

No abstract provided.

The Ommaba Project, Katsiaryna Buchko

Undergraduate Student Research Internships Conference

The Open Multimodal Music and Auditory Brain Archive (OMMABA) is the first multimodal (behavioural, EEG, and neuroimaging) database characterizing normal human auditory processing. My project aims to shed light on the importance of this collaborative project that is transforming the field of auditory cognitive neuroscience.

Developmental Differences In The Learning And Consolidation Of Linguistic Regularities, Sarah Berger

Electronic Thesis and Dissertation Repository

Relative to adults, children have a well-known advantage for learning linguistic regularities, which could be partially driven by their deeper sleep. To examine the relationship between consolidation and language learning across development, children and adults learned a novel article system with an implicit grammatical rule. Participants performed a judgment task on phrases containing the novel articles before and after a night of EEG-monitored sleep. We found that rule sensitivity emerged rapidly in children, whereas it did not emerge until the second session in adults. Children demonstrated better generalization of the rule than adults. Consolidation effects showed a developmental double dissociation, …

Predicting Postoperative Pain In Lung Cancer Patients Using Preoperative Peak Alpha Frequency, Samantha K. Millard, Andrew J. Furman, Amy Kerr, David A. Seminowicz, Fang Gao, Babu V. Naidu, Ali Mazaheri

Neuroscience Institute Publications

No abstract provided.

Spectral Decomposition Of Eeg Microstates In Post-Traumatic Stress Disorder, Braeden A. Terpou, Saurabh B. Shaw, Jean Théberge, Victor Férat, Christoph M. Michel, Margaret C. Mckinnon, Ruth A. Lanius, Tomas Ros

Neuroscience Institute Publications

Microstates offer a promising framework to study fast-scale brain dynamics in the resting-state electroencephalogram (EEG). However, microstate dynamics have yet to be investigated in post-traumatic stress disorder (PTSD), despite research demonstrating resting-state alterations in PTSD. We performed microstate-based segmentation of resting-state EEG in a clinical population of participants with PTSD (N = 61) and a non-traumatized, healthy control group (N = 61). Microstate-based measures (i.e., occurrence, mean duration, time coverage) were compared group-wise using broadband (1–30 Hz) and frequency-specific (i.e., delta, theta, alpha, beta bands) decompositions. In the broadband comparisons, the centro-posterior maximum microstate (map E) occurred significantly less frequently …

Seizure Detection Using Deep Learning, Information Theoretic Measures And Factor Graphs, Bahareh Salafian

Electronic Thesis and Dissertation Repository

Epilepsy is a common neurological disorder that disrupts normal electrical activity in the brain causing severe impact on patients’ daily lives. Accurate seizure detection based on long-term time-series electroencephalogram (EEG) signals has gained vital importance for epileptic seizure diagnosis. However, visual analysis of these recordings is a time-consuming task for neurologists. Therefore, the purpose of this thesis is to propose an automatic hybrid model-based /data-driven algorithm that exploits inter-channel and temporal correlations. Hence, we use mutual information (MI) estimator to compute correlation between EEG channels as spatial features and employ a carefully designed 1D convolutional neural network (CNN) to extract …

Cognitive Neuroscience Of Schizophrenia: Stochastic Modelling Of Cognitive-Process Latencies And Nonlinear Dynamics Of Neuro-Signals, Colleen D. Cutler

Electronic Thesis and Dissertation Repository

We study known and potential numerical earmarks of schizophrenia through mathematical methods. One known numerical characteristic of schizophrenia is that of prolonged encoding latencies in response to cognitive stimuli. Motivated by the need to explain interaction patterns in 2 x 2 factorial data where one factor is encoding load and the other is diagnostic status, we define a class of general serial mixture models based on the number of encoding subprocesses executed and the speed at which they are executed. Mathematical derivations performed on these models yield closed form expressions for the mean encoding latency and average intertrial variance, which …

The Time For Translation Of Mobile Brain And Body Imaging To People With Stroke Is Now, Brian Greeley, Grant Hanada, Lara A Boyd, Sue Peters

Physical Therapy Publications

No abstract provided.

The Relationship Between Cognitive Ability And Bold Activation Across Sleep–Wake States, Zhuo Fang, Dylan M. Smith, Evan Houldin, Laura Ray, Adrian M. Owen, Stuart Fogel

Brain and Mind Institute Researchers' Publications

The sleep spindle, a waxing and waning oscillation in the sigma frequency range, has been shown to correlate with fluid intelligence; i.e. the ability to use logic, learn novel rules/patterns, and solve problems. Using simultaneous EEG and fMRI, we previously identified the neural correlates of this relationship, including activation of the thalamus, bilateral putamen, medial frontal gyrus, middle cingulate cortex, and precuneus. However, research to date has focussed primarily on non-rapid eye movement (NREM) sleep, and spindles per se, thus overlooking the possibility that brain activity that occurs in other sleep–wake states might also be related to cognitive abilities. In …

Protocol For The Prognostication Of Consciousness Recovery Following A Brain Injury, Catherine Duclos, Loretta Norton, Geoffrey Laforge, Allison Frantz, Charlotte Maschke, Mohamed Badawy, Justin Letourneau, Marat Slessarev, Teneille Gofton, Derek Debicki, Adrian M. Owen, Stefanie Blain-Moraes

Brain and Mind Institute Researchers' Publications

Individuals who have suffered a severe brain injury typically require extensive hospitalization in intensive care units (ICUs), where critical treatment decisions are made to maximize their likelihood of recovering consciousness and cognitive function. These treatment decisions can be difficult when the neurological assessment of the patient is limited by unreliable behavioral responses. Reliable objective and quantifiable markers are lacking and there is both (1) a poor understanding of the mechanisms underlying the brain’s ability to reconstitute consciousness and cognition after an injury and (2) the absence of a reliable and clinically feasible method of tracking cognitive recovery in ICU survivors. …

The Role Of Neural Entrainment In Statistical Learning, Jordan-Jerrica Mulgrew

Electronic Thesis and Dissertation Repository

Statistical learning (SL) refers to our ability to extract patterns from the environment. Research has long acknowledged the importance of SL in language; however, the neural mechanisms underlying SL remain largely unknown. One potential mechanism is neural entrainment, which refers to the tendency of endogenous neural oscillations to align with an ongoing rhythmic stimulus. In the context of SL, neural entrainment may align neural excitability to the ongoing structure of the speech stream, increasing sensitivity to underlying patterns and supporting the learning of word boundaries. This thesis tested the hypothesis that neural entrainment plays a causal role in SL by …

Multisensory Associative Learning And Multisensory Integration, Sebastien Lauzon

Electronic Thesis and Dissertation Repository

Human multisensory experiences with the world rely on a combination of top-down and bottom-up influences, a process that changes throughout development. The present study explored the relationship between multisensory associative learning and multisensory integration using encephalography (EEG) and behavioural measures. While recording EEG activity, participants were exposed to novel pairings of non-sociolinguistic audiovisual stimuli of varying presentation probability while performing a detection task. The same stimuli were then used in another detection task, which was followed by an analogous behavioural speeded-response task, both of which kept probabilities equal and tested for multisensory integration. Significant relationships were found in fronto-central and …

Using Meditation To Improve Measures Of Attention In Older Adults, Sabrina Ford

Electronic Thesis and Dissertation Repository

Age-related cognitive decline greatly impacts quality of life for older adults. Previous research has indicated that meditation may act as a neuroprotective factor to prevent age-related cognitive decline. This thesis sought to replicate previous findings and investigate if a four-week meditation intervention would improve sustained attention. Participants 60 years and older (n=27, 17 female) were recruited and assigned to a focused-attention (FA) meditation or relaxation group which met for four weeks, three times a week. Resting-state EEG was used to collect individual alpha peak frequency (iAPF) and frontal alpha asymmetry (FAA). The Sustained Attention to Response Task (SART) was also …

Neural Entrainment Indexes Statistical Learning In Children, Christine Moreau

Electronic Thesis and Dissertation Repository

Statistical learning is proposed as a mechanism for discovering structural patterns in speech through incidental exposure. However, studies have largely relied on assessing explicit memory after learning has occurred, which does not capture the time course and process of statistical learning per se. To better understand the dynamics of statistical learning, we assessed 8- to 12-year-old children using an EEG measure of learning, which captures changes in neural entrainment to words embedded in a continuous artificial language. Statistical learning was assessed post-learning using implicit and explicit behavioural tests. The neural entrainment results demonstrated rapid learning of word-level information, while post-learning …

Cortical Beta Oscillations Are Associated With Motor Performance Following Visuomotor Learning, Svenja Espenhahn, Bernadette C.M. Van Wijk, Holly E. Rossiter, Archy O. De Berker, Nell D. Redman, Jane Rondina, Joern Diedrichsen, Nick S. Ward

Brain and Mind Institute Researchers' Publications

© 2019 The Authors People vary in their capacity to learn and retain new motor skills. Although the relationship between neuronal oscillations in the beta frequency range (15–30 Hz) and motor behaviour is well established, the electrophysiological mechanisms underlying individual differences in motor learning are incompletely understood. Here, we investigated the degree to which measures of resting and movement-related beta power from sensorimotor cortex account for inter-individual differences in motor learning behaviour in the young and elderly. Twenty young (18–30 years) and twenty elderly (62–77 years) healthy adults were trained on a novel wrist flexion/extension tracking task and subsequently retested …

Understanding The Neural Bases Of Implicit And Statistical Learning, Laura J. Batterink, Ken A. Paller, Paul J. Reber

Brain and Mind Institute Researchers' Publications

© 2019 Cognitive Science Society, Inc. Both implicit learning and statistical learning focus on the ability of learners to pick up on patterns in the environment. It has been suggested that these two lines of research may be combined into a single construct of “implicit statistical learning.” However, by comparing the neural processes that give rise to implicit versus statistical learning, we may determine the extent to which these two learning paradigms do indeed describe the same core mechanisms. In this review, we describe current knowledge about neural mechanisms underlying both implicit learning and statistical learning, highlighting converging findings between …

The Risk Of New-Onset Epilepsy And Refractory Epilepsy In Older Adult Stroke Survivors, Jorge G. Burneo, Tresah C. Antaya, Britney N. Allen, Andrea Belisle, Salimah Z. Shariff, Gustavo Saposnik

Neuroepidemiology Research Unit Project Summaries

Research Summary: Key Findings

• Stroke is a common cause of epilepsy in older adults, but little is known about stroke-related epilepsy or its outcomes in this population.
• 1.1% of older adult stroke survivors developed epilepsy in this study, of whom 12.9% developed refractory epilepsy, indicating that this population is particularly responsive to treatment.
• Over 85% of deaths in this population are not due to stroke or epilepsy.

Working Memory And Falls Risk In Older Adults: An Event-Related Potential Study, Yee (Michelle) S. Wong

Electronic Thesis and Dissertation Repository

BACKGROUND: The aging population is rapidly increasing, where currently in North America, the population of older adults (ages 60+) outnumbers the population of children. Falls are a major concern for older adults and their quality of life. Cognitive impairment has been shown to be declined in older adults at-risk for falls, but working memory has not been thoroughly investigated within this population. PURPOSE: To examine differences in Non-Fallers, Moderate Risk for Falls, and Fallers in a working memory task using electroencephalography (EEG). METHODS: Older adults (n=44, female=27) aged 60 – 80 years (m=68.8, SD=4.7) completed two sessions. The first session …

Attentional Modulation Of Envelope-Following Responses At Lower (93–109 Hz) But Not Higher (217–233 Hz) Modulation Rates, Emma Holmes, David W. Purcell, Robert P. Carlyon, Hedwig E. Gockel, Ingrid S. Johnsrude

Brain and Mind Institute Researchers' Publications

Directing attention to sounds of different frequencies allows listeners to perceive a sound of interest, like a talker, in a mixture. Whether cortically generated frequency-specific attention affects responses as low as the auditory brainstem is currently unclear. Participants attended to either a high- or low-frequency tone stream, which was presented simultaneously and tagged with different amplitude modulation (AM) rates. In a replication design, we showed that envelope-following responses (EFRs) were modulated by attention only when the stimulus AM rate was slow enough for the auditory cortex to track—and not for stimuli with faster AM rates, which are thought to reflect …

Maturation In Auditory Event-Related Potentials Explains Variation In Language Ability In Children, Elaine Y.L. Kwok, Marc F. Joanisse, Lisa M.D. Archibald, Margot E. Stothers, Heather M. Brown, Janis Oram Cardy

Communication Sciences and Disorders Publications

© 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd. Processing of auditory information in the cortex continues to develop into later childhood and adolescence. Recent research has indicated that intraclass correlation (ICC) is the best method for capturing maturation in auditory event-related potentials (AEPs) of school-age children. However, the sensitivity of the ICC approach in discerning AEP changes in children has not been consistently demonstrated and positive results have not been replicated. We attempted this replication and further explored whether AEP maturation estimated using the ICC approach predicts cognitive and linguistic abilities in addition to chronological …

Assessing Listening With Engaging, Real-World Auditory Signals, Brainscan , Western University, Björn Herrmann, Ingrid Johnsrude 6612111

Project Summaries

Our project will develop and evaluate a novel way (using functional imaging, fMRI, and electrophysiology, EEG) to assess this cognitive impact of hearing loss with engaging, real‐world auditory stimuli. We will try to assess listening effort in more realistic listening situations among healthy listeners, comparing detected effort in degraded and clear acoustic conditions.

Using EEG, we will then develop measures that are sensitive to the cognitive demands imposed by degraded speech, using these features to assess hearing function with engaging narratives in natural listening conditions.

Maturation In Auditory Event-Related Potentials Explains Variation In Language Ability In Children., Elaine Yuen Ling Kwok, Marc F Joanisse, Lisa Archibald, Margot E. Stothers, Heather M Brown, Janis Oram Cardy

Health and Rehabilitation Sciences Publications

Processing of auditory information in the cortex continues to develop into later childhood and adolescence. Recent research has indicated that intraclass correlation (ICC) is the best method for capturing maturation in auditory event-related potentials (AEPs) of school-age children. However, the sensitivity of the ICC approach in discerning AEP changes in children has not been consistently demonstrated and positive results have not been replicated. We attempted this replication and further explored whether AEP maturation estimated using the ICC approach predicts cognitive and linguistic abilities in addition to chronological age. We measured AEPs in response to simple tones in groups of 7-, …

Burst Suppression On Eeg: Not Always An Ominous Sign, Egidio Spinelli, Sandra Penney, Sharon Carline, Adam Romanovsky, Syed Nizamuddin Ahmed

Paediatrics Publications

No abstract provided.