Other Psychiatry and Psychology Commons^™

Role Of Eye-Tracking Technology And Software Algorithms In Enhancing Adhd Detection And Diagnosis: A Systematic Literature Review, Lauren E. Perkins

Honors College Theses

This systematic literature review explores the role of eye-tracking technology and software algorithms in enhancing the detection and diagnosis of ADHD. ADHD, a neurodevelopmental disorder affecting both children and adults, is traditionally diagnosed through behavioral assessments, which may lack objectivity. Recent studies suggest that eye-tracking, specifically focusing on saccades, fixations, and blink rates, offers the potential for more accurate and objective measures of ADHD. The review examines clinical trials, observational studies, and machine learning research to assess the correlation between ADHD and eye movement patterns. Results indicate that individuals with ADHD exhibit distinct eye movement patterns, which can be quantified …

Emotional Display Rules Of Deaf Culture, Nicholas M. Gala, Lawrence Pick

JADARA

Emotional display rules refer to the expression of culturally prescribed and socially acceptable emotions across different people and situations (Wu & Schulz, 2020). The display rules among hearing adults across several cultures are well defined and depend on the type of emotion, the individuals involved in the exchange, and the situation. Regarding Deaf culture in the United States, this minoritized group may follow unique display rules (Hosie et al., 2000), but there has been almost no research conducted with this population and the existing studies have focused on youth. The present study explores perceived emotional expressions among a sample of …

Using Machine Learning To Determine A Functional Classifier Of Reward Responsiveness And Its Association With Adolescent Psychiatric Symptomatology, Robert James Richard Blair, Johannah Bashford-Largo, Ahria Dominguez, Matthew Dobbertin, Karina S. Blair, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty Publications

Background. Machine learning (ML) has developed classifiers differentiating patient groups despite concerns regarding diagnostic reliability. An alternative strategy, used here, is to develop a functional classifier (hyperplane) (e.g. distinguishing the neural responses to received reward v. received punishment in typically developing (TD) adolescents) and then determine the functional integrity of the response (reward response distance from the hyperplane) in adolescents with externalizing and internalizing conditions and its associations with symptom clusters.

Methods. Two hundred and ninety nine adolescents (mean age = 15.07 ± 2.30 years, 117 females) were divided into three groups: a training sample of TD adolescents …

Second Language Learning In Older Adults Modulates Stroop Task Performance And Brain Activation, Douglas H. Schultz, Alison Gansemer, Kiley Allgood, Mariah Gentz, Lauren Secilmis, Zoha Deldar, Cary R. Savage, Ladan Ghazi Saidi

Center for Brain, Biology, and Behavior: Faculty Publications

Introduction: Numerous studies have highlighted cognitive benefits in lifelong bilinguals during aging, manifesting as superior performance on cognitive tasks compared to monolingual counterparts. Yet, the cognitive impacts of acquiring a new language in older adulthood remain unexplored. In this study, we assessed both behavioral and fMRI responses during a Stroop task in older adults, pre- and post language-learning intervention.

Methods: A group of 41 participants (age: 60–80) from a predominantly monolingual environment underwent a four-month online language course, selecting a new language of their preference. This intervention mandated engagement for 90 minutes a day, five days a week. …

Less Activity Means Improved Welfare? How Pair Housing Influences Pinyon Jay (Gymnorhinus Cyanocephalus) Behaviour, London M. Wolff, Jeffrey R. Stevens

Center for Brain, Biology, and Behavior: Faculty Publications

The activity level and specific behaviours exhibited by captive animals are crucial indicators of welfare. Stereotypies, or repetitive behaviours that have no apparent function or goal, are performed by animals experiencing poor conditions in their environment and indicate welfare concerns. Changes in the housing environment in particular may have critical influences on behaviour and welfare. Here, we measured behavioural changes in a captive pinyon jay (Gymnorhinus cyanocephalus) population (n = 10) associated with a shift from single to pair housing. Using automated video processing, we show that pair housing greatly reduced overall activity levels in these birds. The …

Associations Of Sex And Sport Contact‑Level With Recovery Timelines Among Collegiate Athletes With Sport‑Related Concussion, Bernadette A. D'Alonzo, Andrea L. C. Schneider, Ian J. Barnett, Christina L. Master, Abigail C. Bretzin, Douglas J. Wiebe, Ivy League-Big Ten Epidemiology Of Concussion Study Investigators

Center for Brain, Biology, and Behavior: Faculty Publications

Background

Growing interest has motivated recent studies to examine differences in recovery after sportrelated concussion (SRC) by sex. However, heterogeneity in study design, participants, and recovery outcomes has led to mixed findings. Further work is needed to evaluate potential differences by sex and to investigate the role of related characteristics, such as sport contact-level, in recovery timelines. This study aimed to investigate whether concussion recovery trajectories differ by sex, considering a priori clinical and demographic covariates, and accounting for the sequence of recovery outcomes. Our secondary question was whether sport contact-level modifies the relationship between sex and time to outcomes. …

Clinical Practice Guideline For The Management Of Depression In Primary Care, Estrella Catherine Villarreal

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: The prevalence of depression poses a significant challenge in primary care, emphasizing the urgent need to address this issue during patient visits. Primary care providers are at the forefront of managing depression, yet they encounter difficulties in screening, diagnosing, assessing, and treating this complex condition. Clinical guidelines serve as valuable tools for primary care providers and practices, offering support in identifying and addressing depression effectively. An evidence-based approach to treating depression in primary care, with a focus on collaborative interventions with behavioral health to enhance depression management for American Indian/Alaskan Native (AI/AN) communities.

Methods: The descriptive analysis was conducted …

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

Undergraduate Research Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …

Covid‑19‑Related Risk, Resilience, And Mental Health Among Mexican American Mothers Across The First Year Of The Pandemic, Amy L. Non, Elizabeth S. Clausing, Sandraluz Lara‑Cinisomo, Kimberly L. D’Anna Hernandez

Center for Brain, Biology, and Behavior: Faculty Publications

Background Latina mothers have been especially affected by the pandemic and historically exhibit high rates of depression and anxiety. However, few longitudinal studies have assessed the effect of the pandemic on this vulnerable population. We hypothesized that COVID-19-related stressors would associate with psychological distress among Latina mothers across the first year of the pandemic.

Methods We investigated COVID-19-related impact, stigma, and fears across two critical time points and changes in these measures in relation to changes in maternal anxiety and depression among mothers of Mexican descent living in Southern California (n=152). Surveys were administered within 5–16 weeks of …

Reduced Grey Matter Volume In Adolescents With Conduct Disorder: A Region‑Of‑Interest Analysis Using Multivariate Generalized Linear Modeling, Ru Zhang, Robert James R. Blair, Karina S. Blair, Matthew Dobbertin, Jaimie Elowsky, Johannah Bashford‑Largo, Ahria J. Dominguez, Melissa Hatch, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty Publications

Background

Conduct disorder (CD) involves a group of behavioral and emotional problems that usually begins during childhood or adolescence. Structural brain alterations have been observed in CD, including the amygdala, insula, ventrolateral and medial prefrontal cortex, anterior cingulate cortex, and fusiform gyrus. The current study developed a multivariate generalized linear model (GLM) to differentiate adolescents with CD from typically developing (TD) adolescents in terms of grey matter volume (GMV).

Methods

The whole‐brain structural MRI data were collected from 96 adolescents with CD (mean age = 16.188 ± 1.259 years; mean IQ = 104.292 ± 8.107 ; 63 males) and 90 …

Specialized Late Cingulo-Opercular Network Activation Elucidates The Mechanisms Underlying Decisions About Ambiguity, Jordan E. Pierce, Nathan M. Petro, Elizabeth Clancy, Caterina Gratton, Steven E. Petersen, Maital Neta

Center for Brain, Biology, and Behavior: Faculty Publications

Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In …

Assessing Blood Oxygen Level–Dependent Signal Variability As A Biomarker Of Brain Injury In Sport-Related Concussion, Evan D. Anderson, Tanveer Talukdar, Grace Goodwin, Valentina Di Pietro, Kamal M. Yakoub, Christopher E. Zwilling, David Davies, Antonio Belli, Aron K. Barbey

Center for Brain, Biology, and Behavior: Faculty Publications

Mild traumatic brain injury is a complex neurological disorder of significant concern among athletes who play contact sports. Athletes who sustain sport-related concussion typically undergo physical examination and neurocognitive evaluation to determine injury severity and return-to-play status. However, traumatic disruption to neurometabolic processes can occur with minimal detectable anatomic pathology or neurocognitive alteration, increasing the risk that athletes may be cleared for return-to-play during a vulnerable period and receive a repetitive injury. This underscores the need for sensitive functional neuroimaging methods to detect altered cerebral physiology in concussed athletes. The present study compared the efficacy of Immediate Post-concussion Assessment and …

Identification Of Structural Brain Alterations In Adolescents With Depressive Symptomatology, J. Bashford‑Largo, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Ahria Dominguez, Melissa Hatch, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty Publications

Introduction: Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents.

Methods: Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood …

Specialized Late Cingulo-Opercular Network Activation Elucidates The Mechanisms Underlying Decisions About Ambiguity, Jordan E. Pierce, Nathan M. Petro, Elizabeth Clancy, Caterina Gratton, Steven E. Petersen, Maital Neta

Center for Brain, Biology, and Behavior: Faculty Publications

Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In …

Higher Sexual Excitation Is Associated With An Increase In Sex-Linked Substance Use In Women With A History Of Unwanted Sexual Contact, Harper R. Jones, Tierney K. Lorenz

Center for Brain, Biology, and Behavior: Faculty Publications

Survivors of unwanted sexual contact have an increased likelihood of using substances in sexual situations, which puts them at heightened risk for intoxication-related harms. Separately, research has indicated that women may intentionally use substances in sexual situations to either enhance pleasure (i.e., increase sexual excitation) and/or reduce sexual anxiety or shame (i.e., reduce sexual inhibition), a phenomenon termed sex-linked substance use (SLSU). A predominant assumption in the literature is that women with unwanted sex histories are more likely to disengage during sex, suggesting greater inhibition-related SLSU; however, there is little prior research directly examining if women who have unwanted sex …

Pre–Post Intervention Exploring Cognitive Function And Relationships With Weight Loss, Intervention Adherence And Dropout, Amanda N. Szabo-Reed, Laura E. Martin, Cary R. Savage, Richard A. Washburn, Joseph E. Donnelley

Center for Brain, Biology, and Behavior: Faculty Publications

Objective: To evaluate the association between baseline cognitive function, intervention dropout, adherence and 3-month weight loss (WL) when controlling for confounding demographic variables.

Methods: 107 (Mage = 40.9 yrs.), BMI in the overweight and obese range (BMI = 35.6 kg/m2), men (N = 17) and women (N = 90) completed a 3-month WL intervention. Participants attended weekly behavioral sessions, comply with a reduced calorie diet, and complete 100 min of physical activity (PA)/wk. Cognitive function tasks at baseline included Flanker (attention), Stroop (executive control) and working memory, demographics, body weight and cardiovascular fitness were assessed at baseline. Session attendance, adherence …

Concussion-Related Disruptions To Hub Connectivity In The Default Mode Network Are Related To Symptoms And Cognition, Heather C. Bouchard, Kate L. Higgins, Grace Amadon, Julia M. Laing-Young, Arthur C. Maerlender, Seima Al-Momani, Maital Neta, Cary R. Savage, Douglas H. Schultz

Center for Brain, Biology, and Behavior: Faculty Publications

Concussions present with a myriad of symptomatic and cognitive concerns; however, the relationship between these functional disruptions and the underlying changes in the brain are not yet well understood. Hubs, or brain regions that are connected to many different functional networks, may be specifically disrupted after concussion. Given the implications in concussion research, we quantified hub disruption within the default mode network (DMN) and between the DMN and other brain networks. We collected resting-state functional magnetic resonance imaging data from collegiate student-athletes (n = 44) at three timepoints: baseline (prior to beginning their athletic season), acute post-injury (approximately 48 hours …

Manydogs Project: A Big Team Science Approach To Investigating Canine Behavior And Cognition, Daniela Alberghina, Emily E. Bray, Daphna Buchsbaum, Sarah- Elizabeth Byosiere, Julia Espinosa, Gitanjali E. Gnanadesikan, C.-N. Alexandrina Guran, Elizabeth Hare, Daniel J. Horschler, Ludwig Huber, Valerie A. Kuhlmeier, Evan L. Maclean, Madeline H. Pelgrim, Bryan Perez, Dana Ravid-Schurr, Liza Rothkoff, Courtney L. Sexton, Zachary A. Silver, Jeffrey R. Stevens

Center for Brain, Biology, and Behavior: Faculty Publications

Dogs have a special place in human history as the first domesticated species and play important roles in many cultures around the world. However, their role in scientific studies has been relatively recent. With a few notable exceptions (e.g., Darwin, Pavlov, Scott, and Fuller), domestic dogs were not commonly the subject of rigorous scientific investigation of behavior until the late 1990s. Although the number of canine science studies has increased dramatically over the last 20 years, most research groups are limited in the inferences they can draw because of the relatively small sample sizes used, along with the exceptional diversity …

Explicit And Implicit Emotion Processing In The Cerebellum: A Meta‑Analysis And Systematic Review, Jordan E. Pierce, Marine Thomasson, Philippe Voruz, Garance Selosse, Julie Péron

Center for Brain, Biology, and Behavior: Faculty Publications

The cerebellum’s role in affective processing is increasingly recognized in the literature, but remains poorly understood, despite abundant clinical evidence for affective disruptions following cerebellar damage. To improve the characterization of emotion processing and investigate how attention allocation impacts this processing, we conducted a meta-analysis on task activation foci using GingerALE software. Eighty human neuroimaging studies of emotion including 2761 participants identified through Web of Science and ProQuest databases were analyzed collectively and then divided into two categories based on the focus of attention during the task: explicit or implicit emotion processing. The results examining the explicit emotion tasks identified …

The Role Of Reported Affective Symptoms And Anxiety In Recovery Trajectories After Sport-Related Concussion, Bernadette A. D'Alonzo, Abigail C. Bretzin, Douglas J. Wiebe, Ivy League–Big Ten Epidemiology Of Concussion Study Investigators, Arthur C. Maerlender, Cary R. Savage

Center for Brain, Biology, and Behavior: Faculty Publications

Background: There is growing awareness and clinical interest in athletes with affective symptoms after sport-related concussion (SRC), as these symptoms may contribute to overall symptoms and represent a modifiable risk factor of longer recovery. However, evidence of their effects on the entire return-to-play (RTP) trajectory, particularly among women and men, is limited.

Purpose/Hypothesis: To examine the relationship between affective symptom reporting and RTP progression after SRC among a cohort of Division 1 student-athletes. We hypothesized that those endorsing affective symptoms, specifically nervous-anxious symptoms, spend more time in RTP progression and recovery.

Study Design: Cohort study; Level of evidence, 3.

Methods: …

Age-Dependent White Matter Disruptions After Military Traumatic Brain Injury: Multivariate Analysis Results From Enigma Brain Injury, Heather C. Bouchard, Delin Sun, Emily L. Dennis, Mary R. Newsome, Seth G. Disner, Jeremy Elman, Annelise Silva, Carmen Velez, Andrei Irimia, Nicholas D. Davenport, Scott R. Sponheim, Carol E. Franz, William S. Kremen, Michael J. Coleman, M. Wright Williams, Elbert Geuze, Inga K. Koerte, Martha E. Shenton, Maheen M. Adamson, Raul Coimbra, Gerald Grant, Lori Shutter, Mark S. George, Ross D. Zafonte, Thomas W. Mcallister, Murray B. Stein, Paul M. Thompson, Elisabeth A. Wilde, David F. Tate, Aristeidis Sotiras, Rajendra A. Morey

Center for Brain, Biology, and Behavior: Faculty Publications

Mild Traumatic brain injury (mTBI) is a signature wound in military personnel, and repetitive mTBI has been linked to age-related neurogenerative disorders that affect white matter (WM) in the brain. However, findings of injury to specific WM tracts have been variable and inconsistent. This may be due to the heterogeneity of mechanisms, etiology, and comorbid disorders related to mTBI. Non-negative matrix factorization (NMF) is a data-driven approach that detects covarying patterns (components) within high-dimensional data. We applied NMF to diffusion imaging data from military Veterans with and without a self-reported TBI history. NMF identified 12 independent components derived from fractional …

Differential Associations Of Conduct Disorder, Callous‑Unemotional Traits And Irritability With Outcome Expectations And Values Regarding The Consequences Of Aggression, J. Elowsky, S. Bajaj, J. Bashford‑Largo, R. Zhang, A. Mathur, A. Schwartz, M. Dobbertin, K. S. Blair, E. Leibenluft, D. Pardini, R. J.R. Blair

Center for Brain, Biology, and Behavior: Faculty Publications

Background: Previous work has examined the association of aggression levels and callous-unemotional traits with outcome expectations and values regarding the consequences of aggression. Less work has examined the outcome expectations and values regarding the consequences of aggression of adolescents with Conduct Disorder (CD). Also, no studies have examined links between irritability (a second socio-affective trait associated with CD) and these social cognitive processes despite the core function of anger in retaliatory aggression and establishing dominance.

Method: The current study, investigating these issues, involved 193 adolescents (typically developing [TD; N = 106], 87 cases with CD [N = 87]). Participants completed …

Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead

Engineering Faculty Articles and Research

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current uses of …

Progression Through Return-To-Sport And Return-To-Academics Guidelines For Concussion Management And Recovery In Collegiate Student Athletes: Findings From The Ivy League–Big Ten Epidemiology Of Concussion Study, Douglas J. Wiebe, Abigail C. Bretzin, Bernadette A. D'Alonzo, Ivy League–Big Ten Epidemiology Of Concussion Study Investigators, Arthur C. Maerlender

Center for Brain, Biology, and Behavior: Faculty Publications

Objective To examine the progression of collegiate student athletes through five stages of a return-to- activity protocol following sport-related concussion (SRC).

Methods In a multisite prospective cohort study, we identified the frequency of initial 24–48 hours physical and cognitive rest, and the sequence of (1) symptom resolution and return to (2) exertion activity, (3) limited sport, (4) full sport and (5) full academics. In resulting profiles we estimated the likelihood of return to full sport ≤14 days or prolonged >28 days and tested for variability based on timing of the stages.

Results Among 1715 athletes with SRC (31.6% females), 67.9% …

Head Impact Exposure In Youth And Collegiate American Football, Grace B. Choi, Eric P. Smith, Stefan M. Duma, Steven Rowson, Eamon Campolettano, Mireille E. Kelley, Derek A. Jones, Joel D. Stitzel, Jillian E. Urban, Amaris Genemaras, Jonathan G. Beckwith, Richard M. Greenwald, Arthur C. Maerlender, Joseph J. Crisco

Center for Brain, Biology, and Behavior: Faculty Publications

The relationship between head impact and subsequent brain injury for American football players is not well defined, especially for youth. The objective of this study is to quantify and assess Head Impact Exposure (HIE) metrics among youth and collegiate football players. This multiseason study enrolled 639 unique athletes (354 collegiate; 285 youth, ages 9–14), recording 476,209 head impacts (367,337 collegiate; 108,872 youth) over 971 sessions (480 collegiate; 491 youth). Youth players experienced 43 and 65% fewer impacts per competition and practice, respectively, and lower impact magnitudes compared to collegiate players (95th percentile peak linear acceleration (PLA, g) competition: 45.6 vs …

Constructing Neural Network Models From Brain Data Reveals Representational Transformations Linked To Adaptive Behavior, Takuya Ito, Guangyu Robert Yang, Patryk Laurent, Douglas H. Schultz, Michael W. Cole

Center for Brain, Biology, and Behavior: Faculty Publications

The human ability to adaptively implement a wide variety of tasks is thought to emerge from the dynamic transformation of cognitive information. We hypothesized that these transformations are implemented via conjunctive activations in “conjunction hubs”—brain regions that selectively integrate sensory, cognitive, and motor activations. We used recent advances in using functional connectivity to map the flow of activity between brain regions to construct a task-performing neural network model from fMRI data during a cognitive control task. We verified the importance of conjunction hubs in cognitive computations by simulating neural activity flow over this empirically-estimated functional connectivity model. These empiricallyspecified simulations …

Affective Flexibility As A Developmental Building Block Of Cognitive Reappraisal: An Fmri Study, Jordan E. Pierce, Eisha Haque, Maital Neta

Center for Brain, Biology, and Behavior: Faculty Publications

Cognitive reappraisal is a form of emotion regulation that involves reinterpreting the meaning of a stimulus, often to downregulate one’s negative affect. Reappraisal typically recruits distributed regions of prefrontal and parietal cortex to generate new appraisals and downregulate the emotional response in the amygdala. In the current study, we compared reappraisal ability in an fMRI task with affective flexibility in a sample of children and adolescents (ages 6–17, N = 76). Affective flexibility was defined as variability in valence interpretations of ambiguous (surprised) facial expressions from a second behavioral task. Results demonstrated that age and affective flexibility predicted reappraisal ability, …

In-Season Concussion Symptom Reporting In Male And Female Collegiate Rugby Athletes, Emily E. Kieffer,, P. Gunnar Brolinson, Arthur C. Maerlender, Eric Smith, Steven Rowson

Center for Brain, Biology, and Behavior: Faculty Publications

Symptom inventories are generally only collected after a suspected concussion, but regular in-season monitoring may allude to clinical symptoms associated with repetitive subconcussive impacts and potential undiagnosed concussions. Despite sex-specific differences in symptom presentation and outcome of concussion, no return-to-play protocol takes sex into account. The objective of this study was to monitor a cohort of contact-sport athletes and compare the frequency and severity of in-season concussion-like symptom reporting between sexes. Graded symptom checklists from 144 female and 104 male athlete-seasons were administered weekly to quantify the effect of subconcussive impacts on frequency and severity of in-season symptom reporting. In-season, …

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 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 …

Associations Between Daily Affect And Sleep Vary By Sleep Assessment Type: What Can Ambulatory Eeg Add To The Picture?, Brett Messman, Danica C. Slavish, Jessica R. Dietch, Brooke N. Jenkins, Maia Ten Brink, Daniel J. Taylor

Psychology Faculty Articles and Research

Objective/Background

Disrupted sleep can be a cause and a consequence of affective experiences. However, daily longitudinal studies show sleep assessed via sleep diaries is more consistently associated with positive and negative affect than sleep assessed via actigraphy. The objective of the study was to test whether sleep parameters derived from ambulatory electroencephalography (EEG) in a naturalistic setting were associated with day-to-day changes in affect.

Participants/Method

Eighty adults (mean age = 32.65 years, 63% female) completed 7 days of affect and sleep assessments. We examined bidirectional associations between morning positive affect and negative affect with sleep assessed via diary, actigraphy, and …