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Articles 1 - 13 of 13

Full-Text Articles in Neurology

Psilocybin With Acceptance And Commitment Therapy (Act) For The Treatment Of Social Anxiety Disorder (Sad), Aspen E. Allred Mar 2024

Psilocybin With Acceptance And Commitment Therapy (Act) For The Treatment Of Social Anxiety Disorder (Sad), Aspen E. Allred

University Honors Theses

Social Anxiety Disorder (SAD) is a debilitating mental health condition characterized by an overwhelming fear and anxiety of social rejection that can lead to chronic patterns of social behavioral avoidance. Despite the existence of traditional efficacious treatments, a significant number of individuals either do not respond to treatment or experience a recurrence of symptoms over extended periods, spanning 10-12 years. Acceptance and Commitment Therapy (ACT), a form of acceptance-based behavioral therapy considered part of the "third wave" of cognitive behavioral therapies, has shown promising results in early studies, comparable to those of Cognitive Behavioral Therapy (CBT) that is considered the …


Real-Time Fmri Neurofeedback And Ptsd: Efficacy In Symptom Relief And Neural Circuit Restoration, Sophia F. Ryker Jun 2022

Real-Time Fmri Neurofeedback And Ptsd: Efficacy In Symptom Relief And Neural Circuit Restoration, Sophia F. Ryker

University Honors Theses

Background: Posttraumatic stress disorder (PTSD) is recognized by the DSM-V as resulting from exposure to a traumatic event and the subsequent, prolonged experience of intrusive symptoms, avoidance behavior, altered cognitive functioning and hyperarousal. Current treatments often do not provide relief from symptoms and there is a need for neuro-scientifically informed interventions.

Methods: Through the review of all available studies using real-time fMRI neurofeedback (rt-fMRI-NF) as a treatment for PTSD, the efficacy of this therapeutic intervention was analyzed in order to make specific recommendations for the neurofeedback protocols of future studies.

Results: Evidence demonstrated successful reduction in symptom severity and normalizing …


Loss Of Nrf2 Results In Decreased Neuronal Arborization And Synaptic Density And Causes Exacerbated Age-Related Cognitive Impairment., Mikah Brandes, Nora Gray, Maya Caruso, Jonathan Zweig, Amala Soumyanath, Joseph F. Quinn May 2019

Loss Of Nrf2 Results In Decreased Neuronal Arborization And Synaptic Density And Causes Exacerbated Age-Related Cognitive Impairment., Mikah Brandes, Nora Gray, Maya Caruso, Jonathan Zweig, Amala Soumyanath, Joseph F. Quinn

Student Research Symposium

Background: As the brain ages, free radicals accumulate and cause damage to cellular macromolecules. This increased oxidative damage is thought to contribute to the cognitive decline observed in aging. Activation of the antioxidant regulatory transcription factor NRF2 (Nuclear factor erythroid-derived 2) has been shown to improve neuronal health in aging and neurodegenerative diseases. Yet exactly how NRF2 participates in maintaining synaptic and cognitive function has not been fully elucidated. This study investigates how loss of NRF2 affects synaptic density and cognitive performance in aged mice.

Methods: Dendritic arborization and synaptic was evaluated in hippocampal neurons isolated from mice lacking NRF2 …


A Systems Thinking Approach For Eliciting Mental Models From Visual Boundary Objects In Hydropolitical Contexts: A Case Study From The Pilcomayo River Basin, Riveraine S. Walters, Erin S. Kenzie, Alexander E. Metzger, William Jesse Baltutis, Kakali B. Chakrabarti, Shana Lee Hirsch, Bethany Laursen Jan 2019

A Systems Thinking Approach For Eliciting Mental Models From Visual Boundary Objects In Hydropolitical Contexts: A Case Study From The Pilcomayo River Basin, Riveraine S. Walters, Erin S. Kenzie, Alexander E. Metzger, William Jesse Baltutis, Kakali B. Chakrabarti, Shana Lee Hirsch, Bethany Laursen

Systems Science Faculty Publications and Presentations

Transboundary collaborations related to international freshwater are critical for ensuring equitable, efficient, and sustainable shared access to our planet’s most fundamental resources. Visual artifacts, such as knowledge maps, functioning as boundary objects, are used in hydropolitical contexts to convey understandings and facilitate discussion across scales about challenges and opportunities from multiple perspectives. Such focal points for discussion are valuable in creating shared, socially negotiated priorities and integrating diverse and often disparate cultural perspectives that naturally exist in the context of international transboundary water resources. Visual boundary objects can also represent the collective mental models of the actor countries and transboundary …


The Dynamics Of Concussion: Mapping Pathophysiology, Persistence, And Recovery With Causal-Loop Diagramming, Erin S. Kenzie, Elle L. Parks, Erin D. Bigler, David W, Wright, Miranda M. Lim, James C. Chesnutt, Gregory W.J. Hawryluk, Wayne Gordon, Wayne Wakeland Apr 2018

The Dynamics Of Concussion: Mapping Pathophysiology, Persistence, And Recovery With Causal-Loop Diagramming, Erin S. Kenzie, Elle L. Parks, Erin D. Bigler, David W, Wright, Miranda M. Lim, James C. Chesnutt, Gregory W.J. Hawryluk, Wayne Gordon, Wayne Wakeland

Systems Science Faculty Publications and Presentations

Concussion, also known as mild traumatic brain injury (mTBI),1 is a significant public health issue responsible for a variety of cognitive, emotional, and somatic symptoms and deficits (3). It is unclear why some individuals appear to recover relatively quickly while others suffer prolonged symptoms and impairments (4–7). Robust clinical means of diagnosis, prognosis, and treatment are also lacking (8–11). Research is hindered by an inadequate classification system for traumatic brain injury (TBI) (12), “poor” study quality (13, 14), disagreement about appropriate inclusion and exclusion criteria for concussion (8, 15), and an incomplete understanding of underlying pathophysiology (16–18). The heterogeneity and …


Concussion As A Multi-Scale Complex System: An Interdisciplinary Synthesis Of Current Knowledge, Erin S. Kenzie, Elle L. Parks, Erin D. Bigler, Miranda M. Lim, James C. Chesnutt, Wayne Wakeland Sep 2017

Concussion As A Multi-Scale Complex System: An Interdisciplinary Synthesis Of Current Knowledge, Erin S. Kenzie, Elle L. Parks, Erin D. Bigler, Miranda M. Lim, James C. Chesnutt, Wayne Wakeland

Systems Science Faculty Publications and Presentations

Traumatic brain injury (TBI) has been called “the most complicated disease of the most complex organ of the body” and is an increasingly high-profile public health issue. Many patients report long-term impairments following even “mild” injuries, but reliable criteria for diagnosis and prognosis are lacking. Every clinical trial for TBI treatment to date has failed to demonstrate reliable and safe improvement in outcomes, and the existing body of literature is insufficient to support the creation of a new classification system. Concussion, or mild TBI, is a highly heterogeneous phenomenon, and numerous factors interact dynamically to influence an individual’s recovery trajectory. …


Eeg Slow Waves In Traumatic Brain Injury: Convergent Findings In Mouse And Man, Mo H. Modarres, Nicholas N. Kuzma, Tracy Kretzmer, Allan I. Pack, Miranda M. Lim Jan 2017

Eeg Slow Waves In Traumatic Brain Injury: Convergent Findings In Mouse And Man, Mo H. Modarres, Nicholas N. Kuzma, Tracy Kretzmer, Allan I. Pack, Miranda M. Lim

Physics Faculty Publications and Presentations

OBJECTIVE: Evidence from previous studies suggests that greater sleep pressure, in the form of EEG-based slow waves, accumulates in specific brain regions that are more active during prior waking experience. We sought to quantify the number and coherence of EEG slow waves in subjects with mild traumatic brain injury (mTBI).

METHODS: We developed a method to automatically detect individual slow waves in each EEG channel, and validated this method using simulated EEG data. We then used this method to quantify EEG-based slow waves during sleep and wake states in both mouse and human subjects with mTBI. A modified coherence index …


Associations Between Performance On An Abbreviated Cogstate Battery, Other Measures Of Cognitive Function, And Biomarkers In People At Risk For Alzheimer's Disease, Annie M. Racine, Lindsay R. Clark, Sara C. Berman, Rebecca L. Koscik, Kimberly D. Mueller, Derek Norton, Christopher R. Nicholas, Kaj Blennow, Henrik Zetterberg, Bruno M. Jedynak, Murat Bilgel, Cynthia M. Carlsson, Bradley T. Christian, Sanjay Asthana, Sterling C. Johnson Jan 2016

Associations Between Performance On An Abbreviated Cogstate Battery, Other Measures Of Cognitive Function, And Biomarkers In People At Risk For Alzheimer's Disease, Annie M. Racine, Lindsay R. Clark, Sara C. Berman, Rebecca L. Koscik, Kimberly D. Mueller, Derek Norton, Christopher R. Nicholas, Kaj Blennow, Henrik Zetterberg, Bruno M. Jedynak, Murat Bilgel, Cynthia M. Carlsson, Bradley T. Christian, Sanjay Asthana, Sterling C. Johnson

Mathematics and Statistics Faculty Publications and Presentations

It is not known whether computerized cognitive assessments, like the CogState battery, are sensitive to preclinical cognitive changes or pathology in people at risk for Alzheimer's disease(AD). In 469 late middle-aged participants from the Wisconsin Registry for Alzheimer's Prevention(mean age 63.8±7 years at testing; 67% female; 39% APOE4+), we examined relationships between a CogState abbreviated battery(CAB) of seven tests and demographic characteristics, traditional paper-based neuropsychological tests as well as a composite cognitive impairment index, cognitive impairment status(determined by consensus review), and biomarkers for amyloid and tau(CSF phosphorylated-tau/Aβ42 and global PET-PiB burden) and neural injury(CSF neurofilament light protein). CSF and PET-PiB …


Acceptance Of Disability And Its Predictors Among Stroke Patients In Taiwan, Shan-Yun Chiu, Hanoch Livneh, Long-Lung Tsao, Tzung-Yi Tsai Nov 2013

Acceptance Of Disability And Its Predictors Among Stroke Patients In Taiwan, Shan-Yun Chiu, Hanoch Livneh, Long-Lung Tsao, Tzung-Yi Tsai

Counselor Education Faculty Publications and Presentations

Background: Modern medicine has increased the survival rate for stroke patients; however, the patient’s psychosocial adaptation after stroke onset may be related to the clinical outcomes. This study aimed to investigate patients’ acceptance of disability (AOD) and its predictors in stroke patients. Methods: This cross-sectional study used a purposive sampling method to recruit 175 stroke patients from a hospital in southern Taiwan. A structured questionnaire gathered data on respondent demographics and disease characteristics, and included the Chinese version of the AOD Scale-Revised. Factors associated with AOD were examined by a multiple linear regression analysis. Results: The mean AOD score was …


Neuroscience Of Personality: Principles Of The Psyche As A Living System, Dario Nardi Feb 2012

Neuroscience Of Personality: Principles Of The Psyche As A Living System, Dario Nardi

Systems Science Friday Noon Seminar Series

The brain is a complex living system. Using colorful slides and anecdotes, Dario Nardi, PhD will overview his hands-on research of the past 5 years in his social neuroscience lab using EEG technology to better understand the neocortex. He spends 2 to 3 hours with each subject, offering a variety of tasks from solo activities like meditating, drawing, and recalling to social activities like poker and speed-dating. The results are in. The neocortex relies upon a dynamic of modules, circuits, and holistic modes to continuously coordinate with the environment in both a top-down and a bottom-up manner. Moreover, individual differences …


Short-Term Plasticity At The Schaffer Collateral: A New Model With Implications For Hippocampal Processing, Andrew Hamilton Toland Jan 2012

Short-Term Plasticity At The Schaffer Collateral: A New Model With Implications For Hippocampal Processing, Andrew Hamilton Toland

Dissertations and Theses

A new mathematical model of short-term synaptic plasticity (STP) at the Schaffer collateral is introduced. Like other models of STP, the new model relates short-term synaptic plasticity to an interaction between facilitative and depressive dynamic influences. Unlike previous models, the new model successfully simulates facilitative and depressive dynamics within the framework of the synaptic vesicle cycle. The novelty of the model lies in the description of a competitive interaction between calcium-sensitive proteins for binding sites on the vesicle release machinery. By attributing specific molecular causes to observable presynaptic effects, the new model of STP can predict the effects of specific …


Optimality In Neural Adaptation, Adrienne Fairhall Feb 2011

Optimality In Neural Adaptation, Adrienne Fairhall

Systems Science Friday Noon Seminar Series

Nervous systems tune themselves to the statistical structure of the stimuli they encounter. This sensitivity to statistics appears in phenomena ranging over many timescales, from the adaptation of vision to a rapid change in light level to the loss of ability to distinguish the sounds of non-native languages. While multiple neural mechanisms contribute to this on-line learning of stimulus distributions, we show that the intrinsic nonlinearities of single neurons provide them with the ability to represent time-varying stimuli optimally. While such sensitivity to stimulus statistics does not require learning, slower timescales of adaptation are consistent with optimal inference of statistical …


Neural Coding And Decoding, Alexander Dimitrov Oct 2010

Neural Coding And Decoding, Alexander Dimitrov

Systems Science Friday Noon Seminar Series

Methods based on Rate Distortion theory have been successfully used to cluster stimuli and neural responses in order to study neural codes at a level of detail supported by the amount of available data. They approximate the joint stimulus-response distribution by quantizing paired stimulus-response observations into smaller reproductions of the stimulus and response spaces. An optimal quantization is found by maximizing an information-theoretic cost function subject to both equality and inequality constraints, in hundreds to thousands of dimensions. This analytical approach has several advantages over other current approaches:

  • it yields the most informative approximation of the encoding scheme given the …