Neurosciences Commons^™

Sign And Speech Share Partially Overlapping Conceptual Representations, Samuel Evans, Cathy J. Price, Jörn Diedrichsen, Eva Gutierrez-Sigut, Mairéad Macsweeney

Brain and Mind Institute Researchers' Publications

© 2019 The Author(s) Conceptual knowledge is fundamental to human cognition. Yet, the extent to which it is influenced by language is unclear. Studies of semantic processing show that similar neural patterns are evoked by the same concepts presented in different modalities (e.g., spoken words and pictures or text) [1–3]. This suggests that conceptual representations are “modality independent.” However, an alternative possibility is that the similarity reflects retrieval of common spoken language representations. Indeed, in hearing spoken language users, text and spoken language are co-dependent [4, 5], and pictures are encoded via visual and verbal routes [6]. A parallel approach …

Variational Representational Similarity Analysis, Karl J. Friston, Jörn Diedrichsen, Emma Holmes, Peter Zeidman

Brain and Mind Institute Researchers' Publications

© 2019 The Authors This technical note describes a variational or Bayesian implementation of representational similarity analysis (RSA) and pattern component modelling (PCM). It considers RSA and PCM as Bayesian model comparison procedures that assess the evidence for stimulus or condition-specific patterns of responses distributed over voxels or channels. On this view, one can use standard variational inference procedures to quantify the contributions of particular patterns to the data, by evaluating second-order parameters or hyperparameters. Crucially, this allows one to use parametric empirical Bayes (PEB) to infer which patterns are consistent among subjects. At the between-subject level, one can then …

Using Spatial Release From Masking To Estimate The Magnitude Of The Familiar-Voice Intelligibility Benefit, Ysabel Domingo, Emma Holmes, Ewan Macpherson, Ingrid S. Johnsrude

Brain and Mind Institute Researchers' Publications

© 2019 Acoustical Society of America. The ability to segregate simultaneous speech streams is crucial for successful communication. Recent studies have demonstrated that participants can report 10%-20% more words spoken by naturally familiar (e.g., friends or spouses) than unfamiliar talkers in two-voice mixtures. This benefit is commensurate with one of the largest benefits to speech intelligibility currently known - that which is gained by spatially separating two talkers. However, because of differences in the methods of these previous studies, the relative benefits of spatial separation and voice familiarity are unclear. Here, the familiar-voice benefit and spatial release from masking are …

Estimating Cognitive Workload In An Interactive Virtual Reality Environment Using Eeg, Christoph Tremmel, Christain Herff, Tetsuya Sato, Krzysztof Rechowicz, Yusuke Yamani, Dean J. Krusienski

Electrical & Computer Engineering Faculty Publications

With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is unlimited potential for applications ranging from education, to training, to entertainment, to fitness and beyond. As these interfaces continue to evolve, passive user-state monitoring can play a key role in expanding the immersive VR experience, and tracking activity for user well-being. By recording physiological signals such as the electroencephalogram (EEG) during use of a VR device, the user's interactions in the virtual environment could be adapted in real-time based on the user's cognitive state. Current VR headsets provide a logical, convenient, and unobtrusive framework for mounting EEG …

A Sound-Sensitive Source Of Alpha Oscillations In Human Non-Primary Auditory Cortex, Alexander J. Billig, Björn Herrmann, Ariane E. Rhone, Phillip E. Gander, Kirill V. Nourski, Beau F. Snoad, Christopher K. Kovach, Hiroto Kawasaki, Matthew A. Howard, Ingrid S. Johnsrude

Brain and Mind Institute Researchers' Publications

Copyright © 2019 Billig, Herrmann et al. The functional organization of human auditory cortex can be probed by characterizing responses to various classes of sound at different anatomical locations. Along with histological studies this approach has revealed a primary field in posteromedial Heschl's gyrus (HG) with pronounced induced high-frequency (70-150 Hz) activity and short-latency responses that phase-lock to rapid transient sounds. Low-frequency neural oscillations are also relevant to stimulus processing and information flow, however, their distribution within auditory cortex has not been established. Alpha activity (7-14 Hz) in particular has been associated with processes that may differentially engage earlier versus …

An Accurate Registration Of The Bigbrain Dataset With The Mni Pd25 And Icbm152 Atlases., Yiming Xiao, Jonathan C Lau, Taylor Anderson, Jordan Dekraker, D Louis Collins, Terry Peters, Ali R Khan

Brain and Mind Institute Researchers' Publications

Brain atlases that encompass detailed anatomical or physiological features are instrumental in the research and surgical planning of various neurological conditions. Magnetic resonance imaging (MRI) has played important roles in neuro-image analysis while histological data remain crucial as a gold standard to guide and validate such analyses. With cellular-scale resolution, the BigBrain atlas offers 3D histology of a complete human brain, and is highly valuable to the research and clinical community. To bridge the insights at macro- and micro-levels, accurate mapping of BigBrain and established MRI brain atlases is necessary, but the existing registration is unsatisfactory. The described dataset includes …

A Framework For Evaluating Correspondence Between Brain Images Using Anatomical Fiducials., Jonathan C Lau, Andrew G Parrent, John Demarco, Geetika Gupta, Jason Kai, Olivia W Stanley, Tristan Kuehn, Patrick J Park, Kayla Ferko, Ali R Khan, Terry M Peters

Brain and Mind Institute Researchers' Publications

Accurate spatial correspondence between template and subject images is a crucial step in neuroimaging studies and clinical applications like stereotactic neurosurgery. In the absence of a robust quantitative approach, we sought to propose and validate a set of point landmarks, anatomical fiducials (AFIDs), that could be quickly, accurately, and reliably placed on magnetic resonance images of the human brain. Using several publicly available brain templates and individual participant datasets, novice users could be trained to place a set of 32 AFIDs with millimetric accuracy. Furthermore, the utility of the AFIDs protocol is demonstrated for evaluating subject-to-template and template-to-template registration. Specifically, …

Stimulus-Locked Responses On Human Upper Limb Muscles And Corrective Reaches Are Preferentially Evoked By Low Spatial Frequencies, Rebecca A. Kozak, Philipp Kreyenmeier, Chao Gu, Kevin Johnston, Brian D. Corneil

Brain and Mind Institute Researchers' Publications

© 2019 Kozak et al. In situations requiring immediate action, humans can generate visually-guided responses at remarkably short latencies. Here, to better understand the visual attributes that best evoke such rapid responses, we recorded upper limb muscle activity while participants performed visually-guided reaches towards Gabor patches composed of differing spatial frequencies (SFs). We studied reaches initiated from a stable posture (experiment 1, a static condition), or during on-line reach corrections to an abruptly displaced target (experiment 2, a dynamic condition). In both experiments, we detail the latency and prevalence of stimulus-locked responses (SLRs), which are brief bursts of EMG activity …

Thirty-Five Years Of Computerized Cognitive Assessment Of Aging — Where Are We Now?, Avital Sternin, Alistair Burns, Adrian M. Owen

Brain and Mind Institute Researchers' Publications

Over the past 35 years, the proliferation of technology and the advent of the internet have resulted in many reliable and easy to administer batteries for assessing cognitive function. These approaches have great potential for affecting how the health care system monitors and screens for cognitive changes in the aging population. Here, we review these new technologies with a specific emphasis on what they offer over and above traditional ‘paper-and-pencil’ approaches to assessing cognitive function. Key advantages include fully automated administration and scoring, the interpretation of individual scores within the context of thousands of normative data points, the inclusion of …

Electroencephalographic Asymmetry, Emotion Regulation, And Their Relationships With Depression Risk, Aliza Jacob

Dissertations, Theses, and Capstone Projects

Background: Research investigating patterns of electroencephalographic (EEG) brain asymmetry aids our understanding of neural systems involved in the processing of emotion, motivation, and psychopathology. Withdrawal-motivated negative emotions characteristic of depression are associated with relative right prefrontal cortex (PFC) activity, whereas approach- motivated positive emotions are associated with relative left PFC activity. Styles of emotion regulation (ER), or modulation of the intensity and duration of emotional responses, are also associated with presence (e.g., suppression, or maladaptive ER) versus absence (e.g., cognitive reappraisal, or adaptive ER) of depression vulnerability. Most PFC asymmetry studies of emotion, depression, and/or ER rely upon EEG recorded …

Binding During Sequence Learning Does Not Alter Cortical Representations Of Individual Actions, Patrick Beukema, Jörn Diedrichsen, Timothy D. Verstynen

Brain and Mind Institute Researchers' Publications

Copyright © 2019 the authors. As a sequence of movements is learned, serially ordered actions get bound together into sets to reduce computational complexity during planning and execution. Here, we investigated how actions become naturally bound over the course of learning and how this learning affects cortical representations of individual actions. Across 5 weeks of practice, neurologically healthy human subjects learned either a complex 32-item sequence of finger movements (trained group, n = 9; 3 female) or randomly ordered actions (control group, n = 9; 3 female). Over the course of practice, responses during sequence production in the trained group …

Experimental Neuroscience Neu 410, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Neuroscience Research Seminar Neu 110, Joanna Burkhardt

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No abstract provided.

Neuroethics And Diversity Neu 210, Joanna Burkhardt

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No abstract provided.

Foundations In Neuroscience Neu 101, Joanna Burkhardt

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No abstract provided.

Clinical Neurosciences Neu 320, Joanna Burkhardt

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No abstract provided.

Developmental Neurobiology Neu 201, Joanna Burkhardt

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No abstract provided.

Neuroscience Professional Development Neu 230, Joanna Burkhardt

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No abstract provided.

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 …

Glucocorticoids And “Stress” Are Not Synonymous, Scott Macdougall-Shackleton

Brain and Mind Institute Researchers' Publications

Synopsis

Reference to glucocorticoids as “stress hormones” has been growing in prevalence in the literature, including in comparative and environmental endocrinology. Although glucocorticoids are elevated in response to a variety of stressors in vertebrate animals, the primary functions of glucocorticoids are not responding to stressors and they are only one component of complex suite of physiological and behavioral responses to stressors. Thus, the use of the short-hand phrase “stress hormone” can be misleading. Further, simply measuring glucocorticoids is not equivalent to measuring a stress response, nor is manipulating glucocorticoids equivalent to exposing an animal to a stressor. In this commentary …

Mapping Reward Values To Cues, Locations, And Objects: The Influence Of Reward Associations On Visual Attention, Constanza De Dios

USF Tampa Graduate Theses and Dissertations

Previous work has attempted to fit reward-driven attentional selection as being exogenous (stimulus-driven) or endogenous (goal-driven). However, recent work suggests that reward’s effects on attention depend on the type of stimulus feature that the motivational information is imparted during learning (incentive salience). If true, then reward should not be limited to solely impacting early perceptual or late categorization processes attention. The current study used event-related potentials (ERPs) to test the idea that reward’s effects on attention depend on the process that the reward information is embedded – early perceptual or late categorization. Results demonstrated reward-driven effects on perceptual representation when …

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 …

Macaque Anterior Cingulate Cortex Deactivation Impairs Performance And Alters Lateral Prefrontal Oscillatory Activities In A Rule-Switching Task, Liya Ma, Jason L. Chan, Kevin Johnston, Stephen G. Lomber, Stefan Everling

Brain and Mind Institute Researchers' Publications

© 2019 Ma et al. In primates, both the dorsal anterior cingulate cortex (dACC) and the dorsolateral prefrontal cortex (dlPFC) are key regions of the frontoparietal cognitive control network. To study the role of the dACC and its communication with the dlPFC in cognitive control, we recorded local field potentials (LFPs) from the dlPFC before and during the reversible deactivation of the dACC, in macaque monkeys engaging in uncued switches between 2 stimulus-response rules, namely prosaccade and antisaccade. Cryogenic dACC deactivation impaired response accuracy during maintenance of—but not the initial switching to—the cognitively demanding antisaccade rule, which coincided with a …

Mouse Performance On A Novel Touchscreen Continuous Performance Task Is Dependent On Signaling In The Prelimbic Cortex, Tyler D. Dexter, Daniel Palmer, Amy C. Reichelt, Anita Taksokhan, Lisa M. Saksida, Tim J. Bussey

Western Research Forum

Attention is the cognitive processing that facilitates the ability to target and attend to relevant environmental stimuli, while filtering out irrelevant or distracting stimuli. Control over selective attention is theorized to be dependent on organized neural communication that stems from the medial prefrontal cortex (mPFC). To evaluate selective and sustained attention, mice were trained on the novel touchscreen rodent continuous performance task (rCPT), a task designed to emulate the human CPT. In the rodent version, images are continuously presented on a touchscreen, where mice have been trained to selectively respond to one image type while suppressing responses to all others. …

Competitive Frontoparietal Interactions Mediate Implicit Inferences, Martijn E. Wokke, Tony Ro

Publications and Research

Frequent experience with regularities in our environment allows us to use predictive information to guide our decision process. However, contingencies in our environment are not always explicitly present and sometimes need to be inferred. Heretofore, it remained unknown how predictive information guides decision-making when explicit knowledge is absent and how the brain shapes such implicit inferences. In the present experiment, 17 human participants (9 females) performed a discrimination task in which a target stimulus was preceded by a predictive cue. Critically, participants had no explicit knowledge that some of the cues signaled an upcoming target, allowing us to investigate how …

An Integration-To-Bound Model Of Decision-Making That Accounts For The Spectral Properties Of Neural Data, Ramón Guevara Erra, Marco Arbotto, Aaron Schurger

Psychology Faculty Articles and Research

Integration-to-bound models are among the most widely used models of perceptual decision-making due to their simplicity and power in accounting for behavioral and neurophysiological data. They involve temporal integration over an input signal (“evidence”) plus Gaussian white noise. However, brain data shows that noise in the brain is long-term correlated, with a spectral density of the form 1/fα (with typically 1 < α < 2), also known as pink noise or ‘1/f’ noise. Surprisingly, the adequacy of the spectral properties of drift-diffusion models to electrophysiological data has received little attention in the literature. Here we propose a model of accumulation of evidence for decision-making that takes into consideration the spectral properties of brain signals. We develop a generalization of the leaky stochastic accumulator model using a Langevin equation whose non-linear noise term allows for varying levels of autocorrelation in the time course of the decision variable. We derive this equation directly from magnetoencephalographic data recorded while subjects performed a spontaneous movement initiation task. We then propose a nonlinear model of accumulation of evidence that accounts for the ‘1/f’ spectral properties of brain signals, and the observed variability in the power spectral properties of brain signals. Furthermore, our model outperforms the standard drift-diffusion model at approximating the empirical waiting time distribution.

The Neural Association Between Arithmetic And Basic Numerical Processing Depends On Arithmetic Problem Size And Not Chronological Age, Anna A. Matejko, Daniel Ansari

Brain and Mind Institute Researchers' Publications

© 2019 The Authors The intraparietal sulcus (IPS) is thought to be an important region for basic number processing (e.g. symbol-quantity associations) and arithmetic (e.g. addition). Evidence for shared circuitry within the IPS is largely based on comparisons across studies, and little research has investigated number processing and arithmetic in the same individuals. It is also unclear how the neural overlap between number processing and arithmetic is influenced by age and arithmetic problem difficulty. This study investigated these unresolved questions by examining basic number processing (symbol-quantity matching) and arithmetic (addition) networks in 26 adults and 42 children. Number processing and …

Resonate: Reflections And Recommendations On Implicit Biases Within The Ismrm, Esther A.H. Warnert, Krishna Nayak, Ravi Menon, Curt Rice, John Port, Elizabeth A. Morris, Daniel K. Sodickson, Pia Sundgren, Karla L. Miller, Udunna C. Anazodo

Brain and Mind Institute Researchers' Publications

No abstract provided.

Neuroscience Journal Club Neu 460, Joanna Burkhardt

Library Impact Statements

No abstract provided.

The Study Of Neurological Response In Art Therapy And Trauma: A Literature Review, Kristin Weber

Expressive Therapies Capstone Theses

This review will focus on neurological research and art therapy practice to consider benefits of the integration of science and the creative therapies. These topics will be addressed through a trauma informed theoretical lens, focusing on Post-Traumatic Stress Disorder and Traumatic Brain Injury diagnoses in the US military veteran population. Arts-based, qualitative, and quantitative research were correlated within this review to discover links between neurology and art therapy’s unique impact on trauma, and the outcome of combining these practices. The conclusions found that, with limited research connecting these two fields, there is a possibility for enhanced trauma treatment through the …