Other Psychiatry and Psychology Commons^™

Brain Activity During Paired And Individual Mindfulness Meditation: A Controlled Eeg Study, Hessel Engelbregt, Hugo F. Alderse Baas, Sietske De Grauw, Jan Berend Deijen

International Journal of Transpersonal Studies Advance Publication Archive

Objective: In this study, we evaluated brain electroencephalographic (EEG) activity in healthy participants during the performance of paired and individual mindfulness meditation (MM). We hypothesized that EEG activity is differentially affected by meditation in pairs compared to individual meditation.

Methods: A total of 20 healthy female university students (mean age 19.54 years, SD =1.53) with no prior experience in MM participated in this study. All participants had to perform a 5-minute MM task together and individually while the other participant was in rest or performing a concentration task (control condition). To exclude social interaction as main factor, participants were separated …

Walking Your Brain To Better Ideas: The Effects Of An Acute Bout Of Exercise On Creativity, Alexis Swingendorf

The Journal of Purdue Undergraduate Research

No abstract provided.

Brain Activity During Paired And Individual Mindfulness Meditation: A Controlled Eeg Study, Hessel Engelbregt, Hugo F. Alderse Bass, Sietske De Grauw, Jan Berend Deijen

International Journal of Transpersonal Studies

Objective: In this study, we evaluated brain electroencephalographic (EEG) activity in healthy participants during the performance of paired and individual mindfulness meditation (MM). We hypothesized that EEG activity is differentially affected by meditation in pairs compared to individual meditation. Methods: A total of 20 healthy female university students (mean age 19.54 years, SD =1.53) with no prior experience in MM participated in this study. All participants had to perform a 5-minute MM task together and individually while the other participant was in rest or performing a concentration task (control condition). To exclude social interaction as main factor, participants were separated …

Emotion And Cognition Analysis Of Intro And Senior Cs Students In Software Engineering, Justin Evans

Master's Theses

he software engineering community has advanced the field in the past few decades towards making the software development life cycle more efficient, robust, and streamlined. Advances such as better integrated development environments and agile workflows have made the process more efficient as well as more flexible. Despite these many achievements software engineers still spend a great deal of time writing, reading and reviewing code. These tasks require a lot of attention from the engineer with many different variables affecting the performance of the tasks. In recent years many researchers have come to investigate how emotion and the way we think …

Deep-Learning-Based Multivariate Pattern Analysis (Dmvpa): A Tutorial And A Toolbox, Karl M. Kuntzelman, Jacob M. Williams, Phui Cheng Lim, Ashtok Samal, Prahalada K. Rao, Matthew R. Johnson

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and other neuroimaging methodologies. In a similar time frame, “deep learning” (a term for the use of artificial neural networks with convolutional, recurrent, or similarly sophisticated architectures) has produced a parallel revolution in the field of machine learning and has been employed across a wide variety of applications. Traditional MVPA also uses a form of machine learning, but most commonly with much simpler techniques based on …

The Role Of Gamma Oscillations And Cortical Inhibition In The Development Of Working Memory In Adolescence, Christopher P. Walker

Dissertations & Theses (Open Access)

Adolescence is a dynamic period of social, cognitive, and biological changes. In particular, working memory, the ability to actively encode and maintain information over a short period of time, develops early in childhood and gradually increases in capacity and stability during adolescence. The precise neurophysiological mechanism by which working memory capacity increases during adolescence is unclear. The objective of this investigation was to evaluate the role of cortical gamma-band (> 30 Hz) oscillations—which are associated with working memory in adults—for the development of working memory capacity in adolescents, and to identify the extent to which the temporal profile of gamma-aminobutyric …

Treating Adhd With Suggestion: Neurofeedback And Placebo Therapeutics, Robert T. Thibault, Samuel Vassière, Jay A. Olson, Amir Raz

Psychology Faculty Articles and Research

Objective: We propose that clinicians can use suggestion to help treat conditions such as ADHD. Methods: We use EEG neurofeedback as a case study, alongside evidence from a recent pilot experiment utilizing a sham MRI scanner to highlight the therapeutic potential of suggestion-based treatments. Results: The medical literature demonstrates that many practitioners already prescribe treatments that hardly outperform placebo comparators. Moreover, the sham MRI experiment showed that, even with full disclosure of the procedure, suggestion alone can reduce the symptomatology of ADHD. Conclusion: Non-deceptive suggestion-based treatments, especially those drawing on accessories from neuroscience, may offer a safe complement and potential …

The Psychology Of Neurofeedback: Clinical Intervention Even If Applied Placebo, Robert T. Thibault, Amir Raz

Psychology Faculty Articles and Research

Advocates of neurofeedback make bold claims concerning brain regulation, treatment of disorders, and mental health. Decades of research and thousands of peer-reviewed publications support neurofeedback using electroencephalography (EEG-nf); yet, few experiments isolate the act of receiving feedback from a specific brain signal as a necessary precursor to obtain the purported benefits. Moreover, while psychosocial parameters including participant motivation and expectation, rather than neurobiological substrates, seem to fuel clinical improvement across a wide range of disorders, for-profit clinics continue to sprout across North America and Europe. Here, we highlight the tenuous evidence supporting EEG-nf and sketch out the weaknesses of this …

The Relationship Between Time Of Day, Mood, And Electroencephalography (Eeg) Asymmetry, Morgan Tantillo

Honors Projects

Previous researchers have had success in finding a correlation between exercise and an increase in positive mood. Researchers have also found a correlation between time of day and mood. The current study will explore the relationship between time of day, mood, and electroencephalography (EEG) asymmetry. The study utilized a convenient sample of ten undergraduate students at Bowling Green State University. Participants had baseline EEG recordings taken, and then participated in moderate exercise, followed by another EEG recording. Participants’ mood was assessed through a self-reported mood questionnaire before the condition as well as immediately after. Due to multiple statistical tests, the …

Oscillatory Neural Responses Evoked By Natural Vestibular Stimuli In Humans, Steven Gale, Mario Prsa, Aaron Schurger, Annietta Gay, Aurore Paillard, Bruno Herbelin, Jean-Philippe Guyot, Christophe Lopez, Olaf Blanke

Psychology Faculty Articles and Research

While there have been numerous studies of the vestibular system in mammals, less is known about the brain mechanisms of vestibular processing in humans. In particular, of the studies that have been carried out in humans over the last 30 years, none has investigated how vestibular stimulation (VS) affects cortical oscillations. Here we recorded high-density electroencephalography (EEG) in healthy human subjects and a group of bilateral vestibular loss patients (BVPs) undergoing transient and constant-velocity passive whole body yaw rotations, focusing our analyses on the modulation of cortical oscillations in response to natural VS. The present approach overcame significant technical challenges …

Reducing Multi-Sensor Data To A Single Time Course That Reveals Experimental Effects, Aaron Schurger, Sebastien Marti, Stanislas Dehaene

Psychology Faculty Articles and Research

Background: Multi-sensor technologies such as EEG, MEG, and ECoG result in high-dimensional data sets. Given the high temporal resolution of such techniques, scientific questions very often focus on the time-course of an experimental effect. In many studies, researchers focus on a single sensor or the average over a subset of sensors covering a “region of interest” (ROI). However, single-sensor or ROI analyses ignore the fact that the spatial focus of activity is constantly changing, and fail to make full use of the information distributed over the sensor array.

Methods: We describe a technique that exploits the optimality and …

Single-Trial Decoding Of Auditory Novelty Responses Facilitates The Detection Of Residual Consciousness, J. R. King, F. Faugeras, A. Gramfort, Aaron Schurger, I. El Karoui, J. D. Sitt, B. Rohaut, C. Wacongne, E. Labyt, T. Bekinschtein, L. Cohen, L. Naccache, S. Dehaene

Psychology Faculty Articles and Research

Detecting residual consciousness in unresponsive patients is a major clinical concern and a challenge for theoretical neuroscience. To tackle this issue, we recently designed a paradigm that dissociates two electro-encephalographic (EEG) responses to auditory novelty. Whereas a local change in pitch automatically elicits a mismatch negativity (MMN), a change in global sound sequence leads to a late P300b response. The latter component is thought to be present only when subjects consciously perceive the global novelty. Unfortunately, it can be difficult to detect because individual variability is high, especially in clinical recordings. Here, we show that multivariate pattern classifiers can extract …