Matching Items (20)
Description
The present study aimed to compare brain activity changes related to proactive and reactive control strategies in patients with Parkinson’s disease during “On” levodopa and “Off” levodopa conditions. The study consisted of two participants who had received a prior diagnosis of Parkinson’s Disease. The participants completed AX-CPT task as a measure of attention control in two sessions: a) “On Levodopa” and b) “Off Levodopa” while they were in the fMRI scanner. Prior to the analysis, the T1- weighted anatomical scan images and the BOLD multiband functional images of both the participants were BIDS (Brain Imaging Data Structure) validated and preprocessed using the standard FMRIPrep pipeline. The imaging data was then analyzed using SPM12 (Statistical parametric mapping) software. Individual-level analysis of the imaging data was conducted by creating General Linear models for both the participants on “ON” and “OFF” levodopa conditions. The BOLD responses were compared using AY>BY and BX > BY contrasts. Where BX >, BY contrast, measured BOLD activity related to reactive control strategy and AY> BY contrast measured BOLD activity related to the proactive control strategy. It was observed that participants tended towards reactive control strategy in both “On” and “Off” levodopa conditions.
ContributorsDatta, Kalyani (Author) / Brewer, Gene (Thesis advisor) / Braden, B. Blair (Committee member) / Peterson, Daniel (Committee member) / Arizona State University (Publisher)
Created2022
Description
Individuals with autism spectrum disorder (ASD) are known to show impairments in various domains of executive function (EF) such as behavioral flexibility or inhibitory control. Research suggests that EF impairment in adults with ASD may relate to ASD core symptoms, restrictive behaviors and social communication deficits. Mindfulness-based stress reduction (MBSR) has shown promise for improving EF abilities in neurotypical adults, but research has not explored its efficacy or neural mechanisms in adults with ASD. This pilot study examines the effects of an 8-week MBSR intervention on self-report measures of EF and resting-state functional connectivity in a sample of adults with ASD. Fifty-four participants were assigned either to an MBSR group (n = 29) or a social support group (n = 25). Executive function was measured using the BRIEF-2 before and after the intervention for the twenty-seven participants in the second cohort. MBSR-specific improvements in EF were found for BRIEF measures of initiation, inhibition, and working-memory. Resting-state fMRI data was analyzed using independent component analysis (ICA), and group by time resting-state functional connectivity differences were observed between the cerebellar network and frontal regions including the right frontal pole (rFP), medial frontal cortex (MFC) and left and right superior frontal gyri (SFG). The MBSR group showed increases in functional connectivity between the cerebellum and EF regions which correlated with improvements in BRIEF-2 measures. These findings suggest that MBSR may improve EF domains in adults with ASD, and that increases in functional connectivity between the cerebellum and frontal regions while at rest may be a mechanism for such improvements.
ContributorsGuerithault, Nicolas (Author) / Braden, B. Blair (Thesis advisor) / Rogalsky, Corianne (Committee member) / Dixon, Maria (Committee member) / Arizona State University (Publisher)
Created2021
Description
The prevalence of Autism Spectrum Disorders (ASD) has resulted in research on treatment efficacy, lending itself to quantitative analyses. In contrast, ethnographic studies have offered the benefits of analyzing lived experiences and exploring the uniqueness of ASD individuals. Using the Linguistic Ethnography (LE) perspective, this case study investigates the connection between multilingual practices, behavior management, and behavior-logging app usage. It looks at one cross-cultural family (Indonesian-Belgian) with two children diagnosed with autism. Multimodal data were collected for ten weeks virtually and five weeks in the family’s home in Belgium. The data collection focused on the family's multilingual and behavior management practices and specifically on mobile app usage to document the behaviors of the non-verbal son. Analytical frameworks were drawn from Multimodal Ethnography (Dicks et al., 2006) and Multimodal Discourse Analysis (Kress, 2011a). The findings indicated that linguistic and cultural diversity, both internally and externally, caused a layer of complexity in attending to a non-verbal child. The case study showed positive outcomes of multilingualism. However, it highlighted the struggle of building consistent communication between family members and health professionals, which affected the effort to find a successful treatment plan. The behavior logging app helped parents identify parts of the son’s behaviors and reflect on their behavior management strategies. However, it also underscored the real-life challenges of documentation. In this case, mobile technology may be more useful when supported by health professionals. Although the case study notes family successes, it calls attention to the extraordinary realities of cross-cultural ASD families that need more representation through ethnographic research.
ContributorsQodri, Asri Nurul (Author) / Smith, David Bryan (Thesis advisor) / SturtzSreetharan, Cindi (Committee member) / Dixon, Maria (Committee member) / Arizona State University (Publisher)
Created2023
Description
Adults with autism spectrum disorder (ASD) face heightened risk of co-occurring psychiatric conditions, especially depression and anxiety disorders, which contribute to seven-fold higher suicide rates than the general population. Mindfulness-based stress reduction (MBSR) is an 8-week meditation intervention centered around training continuous redirection of attention toward present moment experience, and has been shown to improve mental health in autistic adults. However, the underlying therapeutic neural mechanisms and whether behavioral and brain changes are mindfulness-specific have yet to be elucidated. In this randomized clinical trial, I utilized functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) to characterize fMRI functional activity (Study 1) and connectivity (Study 2) and EEG neurophysiological (Study 3) changes between MBSR and a social support/relaxation education (SE) active control group. Study 1 revealed an MBSR-specific increase in the midcingulate cortex fMRI blood oxygen level dependent signal which was associated with reduced depression. Study 2 identified nonspecific intervention improvements in depression, anxiety, and autistic, and MBSR-specific improvements in the mindfulness trait ‘nonjudgment toward experience’ and in the executive functioning domain of working memory. MBSR-specific decreases in insula-thalamus and frontal pole-posterior cingulate functional connectivity was associated with improvements in anxiety, mindfulness traits, and working memory abilities. Both MBSR and SE groups showed decreased amygdala-sensorimotor and frontal pole-insula connectivity which correlated with reduced depression. Study 3 consisted of an EEG spectral power analysis at high-frequency brainwaves associated with default mode network (DMN) activity. Results showed MBSR-specific and nonspecific decreases in beta- and gamma-band power, with effects being generally more robust in the MBSR group; additionally, MBSR-specific decreases in posterior gamma correlated with anxiolytic effects. Collectively, these studies suggest: 1) social support is sufficient for improvements in depression, anxiety, and autistic traits; 2) MBSR provides additional benefits related to mindfulness traits and working memory; and 3) distinct and shared neural mechanisms of mindfulness training in adults with ASD, implicating the salience and default mode networks and high-frequency neurophysiology. Findings bear relevance to the development of personalized medicine approaches for psychiatric co-morbidity in ASD, provide putative targets for neurostimulation research, and warrant replication and extension using advanced multimodal imaging approaches.
ContributorsPagni, Broc (Author) / Braden, B. Blair (Thesis advisor) / Newbern, Jason (Thesis advisor) / Davis, Mary (Committee member) / Brewer, Gene (Committee member) / Arizona State University (Publisher)
Created2022
Description
Autism shows a pronounced and replicable sex bias with approximately three-to-four males diagnosed for every one female. Sex-related biology is thought to play a role in the sex bias, such that female biology may be protective and/or male biology may increase vulnerability to autism in the context of similar genetic risk. Beyond etiology, sex-related biology has also been implicated in lifespan risk for health and psychiatric conditions that show common co-morbidity in autism. Thus, understanding how sex-related biology impacts autism etiology and progression has important implications for prognosis and treatment. Neuroimaging offers a powerful tool for in-vivo characterization of brain-based sex differences in autism, especially given emerging efforts to develop large, well-characterized longitudinal samples. To date, however, neuroimaging studies have shown mixed and inconsistent findings, which remain challenging to integrate in the broader literature context. In a recent systematic review of neuroimaging studies of typical sex differences, few to no replicable effects were found beyond brain size, suggesting the brain is not “sexually dimorphic.” Instead, it is argued that the brain is a “mosaic” of features from various sources, including masculine and feminine biological processes as well as individual genetics and environment. Thus, designing neuroimaging studies that are sensitive to brain-based sex differences in autism likely requires careful study design and analytical method selection. Through a series of studies, the overarching dissertation aim was to identify optimal methods for characterizing neuroimaging-based sex differences in autism and to test these methods in preliminary samples. Study 1 comprised a systematic review of studies examining neuroimaging-based sex differences in autism with the aim of identifying optimal study designs, neuroimaging modalities, and analytical methods. Study 2 focused on examining the sensitivity of a connectome-wide approach to identify functional connectivity hubs underlying sex-biased behavior associated with autism (e.g., camouflaging). Study 3 used a connectome-wide functional connectivity approach to characterize sex differences in longitudinal changes associated with autistic traits vs. categorical diagnosis. These studies suggest that optimizing study design and methods improves identification of biologically plausible and clinically meaningful brain sex differences in autism. The relevance of findings to etiology and prognosis are discussed.
ContributorsWalsh, Melissa (Author) / Braden, B. Blair (Thesis advisor) / Azuma, Tamiko (Committee member) / Rogalsky, Corianne (Committee member) / Arizona State University (Publisher)
Created2022
Description
Behavior challenges impact children and educational professionals on a daily basis; however, it is difficult for educators to obtain high quality training in behavior management. The purpose of this study was to compare cognitive apprenticeship and group work, two teaching methods, to determine which provides better knowledge and implementation outcomes for educators taking a course on behavior analysis. Seventeen educational professionals currently working with students who display challenging behavior were randomly assigned to the cognitive apprenticeship or group work conditions. The difference between the conditions is the introduction of a coach in the cognitive apprenticeship condition. The coach guides learners through the process of understanding and using behavior analysis throughout the course by providing feedback, scaffolding, and encouraging reflection and exploration. Participants completed pre-, post-, and post-posttests that measured their knowledge of behavior analysis and how well they implemented the skills taught in the course. Additionally, they completed weekly quizzes and reported how often they used the skills in real-life situations. Overall group differences across time points for knowledge and implementation scores were analyzed using a repeated measures analysis of variance (ANOVA). There were significant differences across time for both scores but not condition or time by condition. A covariance pattern model was used to determine if self-efficacy, self-confidence, previous behavior knowledge, or overall quiz performance predicted the variance in knowledge and implementation scores on the pre-, post-, and post-posttests across conditions. Time was the only significant predictor of knowledge scores, while time, condition and self-efficacy significantly predicted the variance in implementation scores. Additionally, one-way ANOVAs were used to find condition-based differences in quiz scores and practical skill use, neither of which were significant. Finally, a linear regression was used to determine if on quiz performance predicts the use of skills in real-world settings, which it did not. The courses impact on learning, skill use, and student behavior as well as future applications are discussed.
ContributorsSacchetta, Melissa (Author) / Gray, Shelley (Thesis advisor) / Braden, B. Blair (Committee member) / McNeish, Daniel (Committee member) / Zuiker, Steve (Committee member) / Arizona State University (Publisher)
Created2022
Description
Autistic adults face heightened risk of psychiatric disorders, with depression occurrence estimated at quadruple the rate of the general population. Mindfulness Based Stress Reduction (MBSR), an intensive 8-week in-person intervention, reduces depressive symptoms in adults with autism spectrum disorder (ASD). However, access to these programs is restricted due to financial, geographic, and scheduling limitations. Additionally, lapses in practice post-intervention cause these effects to be short-lived. This study examines antidepressant effects of an 8-week app-delivered mindfulness meditation intervention using Ten Percent Happier in adults with ASD and explores whether anchoring meditation practice to a preexisting behavior will improve therapy compliance and depression-related efficacy. Ninety-seven participants were randomly assigned to either App Only (n=30), App + Habit training (n=27) or Waitlist Control (n=40). App Only and App + Habit groups were requested to meditate a minimum of 10 minutes per day, 5 days per week for 8 consecutive weeks using the mobile application. The App + Habit group received additional instruction to anchor leaving the bathroom each morning with meditation; The App Only group was only provided with education on habit formation. Participants completed the Beck Depression Inventory-II (BDI-II) at pre- and post-intervention. All groups received weekly ecological momentary assessments (EMAs) to assess frequency and length of practice. The App + Habit group was additionally assessed for cue-initiated meditation frequency. Data were analyzed using repeated measures analysis of variance (ANOVA). Pre-to-post changes on BDI-II scores indicated a group by time interaction (p=0.04) and a main effect of time (p <0.001). Post-hoc analysis revealed the App + Habit group exclusively showed significant decline in depressive symptoms (p<0.001). The App + Habit group showed greater number of days meditated, average minutes per day of meditating, and continuation of meditation practice 8-weeks after the intervention period, compared to the App Only group.
Findings support app-delivered mindfulness interventions as an accessible and cost-effective alternative to traditional in-person mindfulness training for Autistic adults. However, results suggest app-based mindfulness tools may only be effective when delivered with specific habit formation instruction. Additionally, habit formation instruction led to greater adherence to meditation practice after the study period ended.
ContributorsVink, Schuyler Rae (Author) / Braden, B. Blair (Thesis advisor) / Stecher, Chad (Committee member) / Dixon, Maria (Committee member) / Rogalsky, Corriane (Committee member) / Arizona State University (Publisher)
Created2022
Description
In women, high levels of natural progesterone have been associated with detrimental cognitive effects via the “maternal amnesia” phenomenon as well as in controlled experiments. In aged ovariectomized (Ovx) rats, progesterone has been shown to impair cognition and impact the GABAergic system in cognitive brain regions. Here, we tested whether the GABAergic system is a mechanism of progesterone’s detrimental cognitive effects in the Ovx rat by attempting to reverse progesterone-induced impairments via concomitant treatment with the GABAA antagonist, bicuculline. Thirteen month old rats received Ovx plus daily vehicle, progesterone, bicuculline, or progesterone+bicuculline injections beginning 2 weeks prior to testing. The water radial-arm maze was used to evaluate spatial working and reference memory. During learning, rats administered progesterone made more working memory errors than those administered vehicle, and this impairment was reversed by the addition of bicuculline. The progesterone impairment was transient and all animals performed similarly by the end of regular testing. On the last day of testing, a 6 hour delay was administered to evaluate memory retention. Progesterone-treated rats were the only group to increase working memory errors with the delay relative to baseline performance; again, the addition of bicuculline prevented the progesterone-induced impairment. The vehicle, bicuculline, and progesterone+bicuculline groups were not impaired by the delay. The current rodent findings corroborate prior research reporting progesterone-induced detriments on cognition in women and in the aging Ovx rat. Moreover, the data suggest that the progesterone-induced cognitive impairment is, in part, related to the GABAergic system. Given that progesterone is included in numerous clinically-prescribed hormone therapies and contraceptives (e.g., micronized), and as synthetic analogs, further research is warranted to better understand the parameters and mechanism(s) of progesterone-induced cognitive impairments.
ContributorsBraden, B. Blair (Author) / Kingston, Melissa (Author) / Koenig, Elizabeth (Author) / Lavery, Courtney (Author) / Tsang, Candy (Author) / Bimonte-Nelson, Heather (Author) / College of Liberal Arts and Sciences (Contributor)
Created2015-08-14
Description
The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent with the initial ABIDE effort (ABIDE I), that released 1112 datasets in 2012, this new multisite open-data resource is an aggregate of resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI and phenotypic datasets. ABIDE II includes datasets from an additional 487 individuals with ASD and 557 controls previously collected across 16 international institutions. The combination of ABIDE I and ABIDE II provides investigators with 2156 unique cross-sectional datasets allowing selection of samples for discovery and/or replication. This sample size can also facilitate the identification of neurobiological subgroups, as well as preliminary examinations of sex differences in ASD. Additionally, ABIDE II includes a range of psychiatric variables to inform our understanding of the neural correlates of co-occurring psychopathology; 284 diffusion imaging datasets are also included. It is anticipated that these enhancements will contribute to unraveling key sources of ASD heterogeneity.
ContributorsDi Martino, Adriana (Author) / O'Connor, David (Author) / Chen, Bosi (Author) / Alaerts, Kaat (Author) / Anderson, Jeffrey S. (Author) / Assaf, Michal (Author) / Balsters, Joshua H. (Author) / Baxter, Leslie (Author) / Beggiato, Anita (Author) / Bernaerts, Sylvie (Author) / Blanken, Laura M. E. (Author) / Bookheimer, Susan Y. (Author) / Braden, B. Blair (Author) / Byrge, Lisa (Author) / Castellanos, F. Xavier (Author) / Dapretto, Mirella (Author) / Delorme, Richard (Author) / Fair, Damien A. (Author) / Fishman, Inna (Author) / Fitzgerald, Jacqueline (Author) / Gallagher, Louise (Author) / Keehn, R. Joanne Jao (Author) / Kennedy, Daniel P. (Author) / Lainhart, Janet E. (Author) / Luna, Beatriz (Author) / Mostofsky, Stewart H. (Author) / Muller, Ralph-Axel (Author) / Nebel, Mary Beth (Author) / Nigg, Joel T. (Author) / O'Hearn, Kirsten (Author) / Solomon, Marjorie (Author) / Toro, Roberto (Author) / Vaidya, Chandan J. (Author) / Wenderoth, Nicole (Author) / White, Tonya (Author) / Craddock, R. Cameron (Author) / Lord, Catherine (Author) / Leventhal, Bennett (Author) / Milham, Michael P. (Author) / College of Health Solutions (Contributor)
Created2017-03-14
Description
This thesis explores the interplay of aphasia symptoms and brain connectivityusing resting-state functional Magnetic Resonance Imaging (MRI). The research presented here is a step towards understanding the neural basis of linguistic prosody in particular, and its relationship with language impairments in post-stroke aphasia. This study focuses on examining the functional connectivities of the frontal-parietal control network and the dorsal attention networks with specific regions within traditional language networks, as a growing body of research suggests that prosodic cues in speech may recruit control and attention networks to support language processing. Using resting- state fMRI, the present study examined the functional connectivity of the frontal parietal control and dorsal attention networks with traditional language regions in 28 participants who have experienced a stroke-related language impairment (i.e. aphasia) and 32 matched neurotypical adults. Overall, the study reveals significant functional connectivity differences of the frontoparietal control and dorsal attention networks between the stroke and control groups, indicating that individuals with aphasia have brain connectivity differences beyond the traditional language networks. Multiple regression analyses were then used to determine if functional connectivities of the frontoparietal control and dorsal attention networks within themselves and with traditional language regions could predict aphasia symptoms, as measured by the Western Aphasia Battery (WAB). Overall, the regression results indicate that greater functional connectivity between the frontoparietal control and dorsal attention networks with traditional language regions is associated with improved language abilities, with different connectivities predicting different types of aphasia symptoms (e.g. speech, naming / word finding, auditory comprehension, overall impairment). Altogether this study contributes to the understanding of the neural bases of language impairments post-stroke, highlighting the intricate connections between language and other cognitive networks, which may be mediated by prosody.
ContributorsMendhe, Surbhi Haridas (Author) / Rogalsky, Corianne (Thesis advisor) / Braden, B. Blair (Committee member) / Benitez, Viridiana (Committee member) / Arizona State University (Publisher)
Created2024