Brain Imaging Grants
Brain Imaging Grants provide CLA faculty members and students working in research areas related to brain imaging an opportunity to fund pilot projects with seed grants or to purchase items related to ongoing infrastructure needs. The Neuroimaging Research Associate, Phil Burton, promotes and facilitates neuroimaging research among faculty, students, and research staff within the College of Liberal Arts and is available to assist Brain Imaging Grant Applicants and awardees.
Neuroimaging Research Associate
CLA researchers in psychology, economics, political science, speech-language-hearing sciences, and other departments have historically studied human perception, language, emotion, and decision-making processes by measuring behaviors and making inferences about underlying mental processes. With recent rapid advances in noninvasive neuroimaging technology, these same researchers are becoming increasingly interested in measuring more directly the brain activity that underlies these processes. The CLA Neuroimaging Research Associate provides expertise as well as specialized hardware and software resources to facilitate this transition. Please note that these services are available to researchers in all CLA departments, including those that have not conventionally taken a scientific approach to studying the mind and brain. Services and resources provided include:
Assistance with study design: From safety issues associated with powerful MRI magnets to temporal offsets between stimulus presentation, neural activity, and the signal being measured in fMRI and ERP studies, there are numerous experimental design issues that must be considered in addition to those involved with behavioral measures.
Assistance with data analysis: Specialized software and analysis techniques are necessary for processing and statistically analyzing large and complex datasets. Software supported includes (but is not limited to): AFNI, Brain Voyager, MRIcron, Freesurfer, FSL, SPM.
Acquisition of specialized equipment: This position assesses neuroimaging needs to ensure state-of-the-art resources are available to allow CLA researchers to remain competitive. Past activities include: spearheading the proposal that resulted in the CLA Interdepartmental EEG Facility and contributing to the I3 grant that led to the purchase of the second 3T scanner at the Center for Magnetic Research (CMRR), along with the acquisition of peripheral equipment as needed for EEG and fMRI research.
Promoting and facilitating neuroimaging research: The Neuroimaging Research Associate coordinates the MRI Users’ Group (MUG), which includes members from multiple University of Minnesota colleges and departments and meets monthly to discuss brain imaging research conducted at the university, and for the annual application for Interdisciplinary Graduate Group.
2020 Brain Imaging Grant Awardees
Assessing the Test-Retest Reliability of Neural Activations Underlying Generalized Conditioned Fear
Shmuel Lissek, PhD, Associate Professor, Department of Psychology
One central abnormality in clinical anxiety is the heightened tendency to transfer, or generalize fear from a learned danger-cue to perceptually resembling learned safety-cues. Neuroimaging studies have repeatedly identified neural hubs of the salience network (SN) and default network (DN) as brain-based markers of fear-generalization, supporting their potential diagnostic value. One essential feature of diagnostic measures is test-retest reliability: the ability of measures to produce repeatable results under similar conditions. The present proposal assesses the test-retest reliability of SN and DN markers of fear-generalization to determine their suitability for future use as brain-based diagnostic indicators for clinical anxiety.
Investigating Characteristics of Foveal Feedback Using Ultra-High Field fMRI
PI: Cheryl Olman, PhD, Professor, Department of Psychology
Co-PIs: Kimberly Weldon, PhD
The human visual system is organized so that neural responses related to stimuli in central vision are transmitted to an area of cortex separate from responses related to peripheral stimuli. Despite this separation, fMRI data show that when observers perform a comparison task on peripheral objects, information about the objects’ shapes is fed back to the part of visual cortex representing the central visual field. Our aim is to take advantage of higher signal-to-noise ratio in ultra-high field fMRI to investigate how different tasks influence this phenomenon, laying the groundwork for future investigations into how iterative processing facilitates human vision.
Neural Mechanisms of Speech and Voice Processing in Children
PI: Professor Yang Zhang, PhD., Department of Speech-Language-Hearing Sciences
Co-PIs: Philip C Burton, Ph.D., Neuroimaging Staff Scientist, College of Liberal Arts; Cheryl A. Olman, Ph.D., Associate Professor; Dept. of Psychology; Jason Wolff, PhD, Assistant Professor, Dept. of Educational Psychology; Maria Sera, Professor, Institute of Child Development; Hui Zou, PhD, Professor, School of Statistics; Suiping Wang, Professor of Psychology, South China Normal University
The present proposal aims to examine the role of complex auditory processing for extracting linguistic, affective and social signals in language acquisition. It requests supplementary RA support for completing four journal manuscript submissions and two major NIH and NSF grant submissions in 2020, which involves additional data collection and continuing EEG, MEG and fMRI data analysis.
Noninvasive Neuromodulation to Probe Causal Mechanisms of Conscious Threat Appraisal and Avoidance Generalization
PI: Professor Ryan Webler, Department of Psychology
Co-PIs: Hannah Berg, Graduate Student, Department of Psychology; Adrienne Manbeck, Graduate Student, Department of Psychology; Samuel Klein, Graduate Student, Department of Psychology; Scott Sponheim, Professor, Department of Psychiatry; Ziad Nahas, Professor, Department of Psychiatry; Shmuel Lissek, Associate Professor, Department of Psychology
Anxiety and trauma-related disorders are the most common class of psychiatric disorders. The maladaptive spread of conscious threat appraisal from a conditioned stimulus
(CS+) to similar stimuli (overgeneralization) represents a promising disease mechanism of clinical anxiety. To causally elucidate the neural substrates of this process, this study will interrogate a region implicated in threat appraisal generalization (dmPFC/dACC) via neuronavigated continuous theta-burst stimulation prior to a conditioned fear generalization paradigm. Pre-stimulation MRI and pre and post-stimulation EEG will reveal structural and functional connections of the dmPFC/dACC and shed light on the spatial and temporal dynamics of threat appraisal generalization.
A New Mixed E ect Model in fMRI Studies
Professor Lan Liu, School of Statistics
Professor Dennis Cook, School of Statistics
The importance of the proposed research lies in both the statistical methodology development and the interdisciplinary application. The proposed research provides theoretical justification and computational algorithm for simultaneous dimension reduction and efficient estimation in the high dimensional data setting. Specifically, this research incorporate the fact that voxels are highly correlated to achieve dimension reduction in mixed effect models. Our methods also help us to understand the gross similarities of brain activity on the population level as well as the intrinsic distinction within subjects.
Brain-Based Indicators of Risk for Addiction: A Prospective High-Risk Twin Family Study
Graduate student Sylia Wilson, Psychology
Addiction is associated with substantial negative outcomes and significant impairment in multiple domains of functioning. This project identifies premorbid deviations and altered neurodevelopment in brain circuitry that index risk for addiction and predict substance initiation/misuse, and uses a children of discordant twins study design to differentiate genetic from environmental mechanisms of parent-child transmission. Identifying brain-based vulnerability factors that predict addiction and the causal environmental risk factors conferred to children by addicted parents will guide etiological models and the most targeted and effective prevention and intervention efforts for at-risk children and their families.
Evaluating Prefrontal Dysconnectivity during Persecutory Sociocognitive Processes
Graduate student Anita Kwashie, Psychology
Professor Angus MacDonald III, Psychology
Persecutory delusions have devastating effects on the quality of life and social functioning of people with psychosis. However, there are disparate theories regarding its neural basis. We hypothesize that persecutory delusions arise from a failure of prefrontal network connectivity in integrating disparate cognitive processes. Through examining patient structural and functional connectivity data, in addition to behavioral social cognitive tasks, we aim to examine the relationship between prefrontal network dysconnectivity and social behaviors indicative of irrational persecutory ideation. The results of this study may identify potential targets for future intervention studies aiming to improve the effectiveness of psychosis symptom treatment.
Impacts of medical cannabis use on cognition, mental health and neural function
Monica Luciana, Ph.D., Department of Psychology
Paul Collins, Ph.D., Department of Psychology
Phil Burton, Ph.D., College of Liberal Arts
Bryon Mueller, Ph.D., Dept of Psychiatry
Susan Marino, Ph.D., Dept of Psychopharmacology
Recreational cannabis use is associated with cognitive, affective, and brain structural plus functional deviations, perhaps due to neural impacts of tetrahydrocannabinol (THC; the primary constituent of cannabis plants). However, such deviations may not characterize medical users who differ in demographic and personality characteristics and ingest cannabidiol (CBD)- versus THC-based formulations. This project examines impacts of THC-versus CBD-dominant medical cannabis treatments on cognition, psychopathology, and neural activity in 18 pain patients tested prior to treatment and again four months later on a comprehensive neuroimaging and behavioral battery. Pre-versus post-treatment outcomes will be contrasted between groups to identify treatment-related impairments or improvements.