Medicine and Health Sciences Commons^™

Resistance Training Improves White Matter Structural Connectivity In Older Adults At-Risk For Cognitive Decline, Ryu Lien

Undergraduate Student Research Internships Conference

Diabetes is a global health concern that impacts 415 million people worldwide. Individuals who are at-risk for diabetes (characterized by high blood glucose and/or being overweight) have white matter atrophy, decreased cognitive function, and an increased risk of Alzheimer’s disease (AD). Recently, resistance training (RT) has been shown to lower white matter atrophy and white matter lesion volume. However, investigating changes in white matter tracts is complex, hence previous findings remain inconclusive. Diffusion tensor imaging (DTI) serves as a highly sensitive tool that enables visualization and characterization of white matter tracts and has the potential to combat this complexity. The …

Precision Dynamical Mapping Using Topological Data Analysis Reveals A Hub-Like Transition State At Rest, Manish Saggar, James M Shine, Raphaël Liégeois, Nico U F Dosenbach, Damien Fair

2020-Current year OA Pubs

In the absence of external stimuli, neural activity continuously evolves from one configuration to another. Whether these transitions or explorations follow some underlying arrangement or lack a predictable ordered plan remains to be determined. Here, using fMRI data from highly sampled individuals (~5 hours of resting-state data per individual), we aimed to reveal the rules that govern transitions in brain activity at rest. Our Topological Data Analysis based Mapper approach characterized a highly visited transition state of the brain that acts as a switch between different neural configurations to organize the spontaneous brain activity. Further, while the transition state was …

Delay Of Gratification Dissociates Cognitive Control And Valuation Brain Regions In Healthy Young Adults, Bidhan Lamichhane, Elisa Di Rosa, Todd S Braver

2020-Current year OA Pubs

Delay of gratification (DofG) refers to an inter-temporal choice phenomenon that is of great interest in many domains, including animal learning, cognitive development, economic decision-making, and executive control. Yet experimental tools for investigating DofG in human adults are almost non-existent, and as a consequence, very little is known regarding the brain basis of core DofG behaviors. Here, we utilize a novel DofG paradigm, adapted for use in neuroimaging contexts, to examine event-related changes in neural activity as healthy young adult participants made repeated choices to continue waiting for a delayed reward, rather than take an immediately available one of lesser …

Corpora Amylacea Are Associated With Tau Burden And Cognitive Status In Alzheimer's Disease, Connor M Wander, Tamy Harumy Moraes Tsujimoto, John F Ervin, Chanung Wang, Spencer M Maranto, Vanya Bhat, Julian D Dallmeier, Shih-Hsiu Jerry Wang, Feng-Chang Lin, William K Scott, David M Holtzman, Todd J Cohen

2020-Current year OA Pubs

Corpora amylacea (CA) and their murine analogs, periodic acid Schiff (PAS) granules, are age-related, carbohydrate-rich structures that serve as waste repositories for aggregated proteins, damaged cellular organelles, and other cellular debris. The structure, morphology, and suspected functions of CA in the brain imply disease relevance. Despite this, the link between CA and age-related neurodegenerative diseases, particularly Alzheimer's disease (AD), remains poorly defined. We performed a neuropathological analysis of mouse PAS granules and human CA and correlated these findings with AD progression. Increased PAS granule density was observed in symptomatic tau transgenic mice and APOE knock-in mice. Using a cohort of …

Concurrent Fnirs And Eeg For Brain Function Investigation: A Systematic, Methodology-Focused Review, Rihui Li, Dalin Yang, Feng Fang, Keum-Shik Hong, Allan L Reiss, Yingchun Zhang

2020-Current year OA Pubs

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resolution, though it is constrained by its poor temporal resolution. One important merit shared by the EEG and fNIRS is that both modalities have favorable portability and could be integrated into a compatible experimental setup, providing a compelling ground for the development of a multimodal fNIRS-EEG integration analysis approach. Despite a growing number of studies using concurrent fNIRS-EEG designs reported in recent years, the methodological …

Predicting Brain Age From Functional Connectivity In Symptomatic And Preclinical Alzheimer Disease, Peter R. Millar, Patrick H. Luckett, Brian A. Gordon, Tammie L. S. Benzinger, Suzanne E. Schindler, Anne M. Fagan, Carlos Cruchaga, Randall J. Bateman, Ricardo Allegri, Mathias Jucker, Jae-Hong Lee, Hiroshi Mori, Stephen P. Salloway, Igor Yakushev, John C. Morris, Beau M. Ances, Dominantly Inherited Alzheimer Network

2020-Current year OA Pubs

"Brain-predicted age" quantifies apparent brain age compared to normative neuroimaging trajectories. Advanced brain-predicted age has been well established in symptomatic Alzheimer disease (AD), but is underexplored in preclinical AD. Prior brain-predicted age studies have typically used structural MRI, but resting-state functional connectivity (FC) remains underexplored. Our model predicted age from FC in 391 cognitively normal, amyloid-negative controls (ages 18-89). We applied the trained model to 145 amyloid-negative, 151 preclinical AD, and 156 symptomatic AD participants to test group differences. The model accurately predicted age in the training set. FC-predicted brain age gaps (FC-BAG) were significantly older in symptomatic AD and …

Resting-State Functional Connectivity Identifies Individuals And Predicts Age In 8-To-26-Month-Olds, Omid Kardan, Sydney Kaplan, Muriah D. Wheelock, Dominique Meyer, Adam T. Eggebrecht, Christopher D. Smyser, Et Al.

2020-Current year OA Pubs

Resting-state functional connectivity (rsFC) measured with fMRI has been used to characterize functional brain maturation in typically and atypically developing children and adults. However, its reliability and utility for predicting development in infants and toddlers is less well understood. Here, we use fMRI data from the Baby Connectome Project study to measure the reliability and uniqueness of rsFC in infants and toddlers and predict age in this sample (8-to-26 months old; n = 170). We observed medium reliability for within-session infant rsFC in our sample, and found that individual infant and toddler's connectomes were sufficiently distinct for successful functional connectome …

Mirna Expression Is Increased In Serum From Patients With Semantic Variant Primary Progressive Aphasia, Maria Serpente, Laura Ghezzi, Chiara Fenoglio, Francesca R Buccellato, Giorgio G Fumagalli, Emanuela Rotondo, Marina Arcaro, Andrea Arighi, Daniela Galimberti

2020-Current year OA Pubs

Primary progressive aphasia (PPA) damages the parts of the brain that control speech and language. There are three clinical PPA variants: nonfluent/agrammatic (nfvPPA), logopenic (lvPPA) and semantic (svPPA). The pathophysiology underlying PPA variants is not fully understood, including the role of micro (mi)RNAs which were previously shown to play a role in several neurodegenerative diseases. Using a two-step analysis (array and validation through real-time PCR), we investigated the miRNA expression pattern in serum from 54 PPA patients and 18 controls. In the svPPA cohort, we observed a generalized upregulation of miRNAs with miR-106b-5p and miR-133a-3p reaching statistical significance (miR-106b-5p: 2.69 …

Magnetic Resonance Brain Imaging Findings In Epilepsy, Ibrahem A. Abou-Se'da, Mohamed S. Elzawawi, Yasmin H. Hemeda

Menoufia Medical Journal

Objectives The aim was to evaluate the different findings of magnetic resonance brain imaging in epilepsy. Background Epilepsy is a common brain disease that affects both pediatrics and adults. The main role of neuroimaging in epilepsy patients is to identify underlying structural abnormalities. MRI has a high spatial resolution, soft tissue contrast and multiplanar capabilities making it the modality of choice in investigating patients with epilepsy. Patients and methods This study was conducted at the MRI Unit, Radiodiagnosis Department at Menoufia University Hospital from October 2019 to September 2021 with the approval of the Menoufia Review Board and prospectively performed …

Altered Genome-Wide Hippocampal Gene Expression Profiles Following Early Life Lead Exposure And Their Potential For Reversal By Environmental Enrichment, Garima Singh, V Singh, T Kim, A Ertel, W Fu, J S Schneider

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Early life lead (Pb) exposure is detrimental to neurobehavioral development. The quality of the environment can modify negative influences from Pb exposure, impacting the developmental trajectory following Pb exposure. Little is known about the molecular underpinnings in the brain of the interaction between Pb and the quality of the environment. We examined relationships between early life Pb exposure and living in an enriched versus a non-enriched postnatal environment on genome-wide transcription profiles in hippocampus CA1. RNA-seq identified differences in the transcriptome of enriched vs. non-enriched Pb-exposed animals. Most of the gene expression changes associated with Pb exposure were reversed by …

Effect Of Race On Prediction Of Brain Amyloidosis By Plasma Aβ42/Aβ40, Phosphorylated Tau, And Neurofilament Light, Suzanne E Schindler, Rachel L Henson, Yan Li, Benjamin Saef, Krista L Moulder, David Bradford, Anne M Fagan, Brian A Gordon, Tammie L S Benzinger, Joyce Balls-Berry, Randall J Bateman, Chengjie Xiong, John C Morris, Et Al

2020-Current year OA Pubs

BACKGROUND AND OBJECTIVES: To evaluate whether plasma biomarkers of amyloid (Aβ42/Aβ40), tau (p-tau181 and p-tau231), and neuroaxonal injury (neurofilament light chain [NfL]) detect brain amyloidosis consistently across racial groups.

METHODS: Individuals enrolled in studies of memory and aging who self-identified as African American (AA) were matched 1:1 to self-identified non-Hispanic White (NHW) individuals by age,

RESULTS: There were 76 matched pairs of AA and NHW participants (n = 152 total). For both AA and NHW groups, the median age was 68.4 years, 42% were

DISCUSSION: Models predicting brain amyloidosis using a high-performance plasma Aβ42/Aβ40 assay may provide an accurate and …

Post-Stroke Reorganization Of Transient Brain Activity Characterizes Deficits And Recovery Of Cognitive Functions, Elvira Pirondini, Nawal Kinany, Cécile Le Sueur, Joseph C Griffis, Gordon L Shulman, Maurizio Corbetta, Dimitri Van De Ville

2020-Current year OA Pubs

Functional magnetic resonance imaging (fMRI) has been widely employed to study stroke pathophysiology. In particular, analyses of fMRI signals at rest were directed at quantifying the impact of stroke on spatial features of brain networks. However, brain networks have intrinsic time features that were, so far, disregarded in these analyses. In consequence, standard fMRI analysis failed to capture temporal imbalance resulting from stroke lesions, hence restricting their ability to reveal the interdependent pathological changes in structural and temporal network features following stroke. Here, we longitudinally analyzed hemodynamic-informed transient activity in a large cohort of stroke patients (n = 103) to …

Accuracy And Reliability Of Diffusion Imaging Models, Nicole A. Seider, Babatunde Adeyemo, Ryland Miller, Dillan J. Newbold, Jacqueline M. Hampton, Kristen M. Scheidter, Jerrel Rutlin, Timothy O. Laumann, Jarod L. Roland, David F. Montez, Andrew N. Van, Annie Zheng, Scott Marek, Benjamin P. Kay, G. Larry Bretthorst, Yong Wang, Steven E. Petersen, Deanna M. Barch, Evan M. Gordon, Abraham Z. Snyder, Joshua S. Shimony, Nico U. F. Dosenbach

2020-Current year OA Pubs

Diffusion imaging aims to non-invasively characterize the anatomy and integrity of the brain's white matter fibers. We evaluated the accuracy and reliability of commonly used diffusion imaging methods as a function of data quantity and analysis method, using both simulations and highly sampled individual-specific data (927-1442 diffusion weighted images [DWIs] per individual). Diffusion imaging methods that allow for crossing fibers (FSL's BedpostX [BPX], DSI Studio's Constant Solid Angle Q-Ball Imaging [CSA-QBI], MRtrix3's Constrained Spherical Deconvolution [CSD]) estimated excess fibers when insufficient data were present and/or when the data did not match the model priors. To reduce such overfitting, we developed …

Face Identity Coding In The Deep Neural Network And Primate Brain, Jinge Wang, Runnan Cao, Nicholas J Brandmeir, Xin Li, Shuo Wang

2020-Current year OA Pubs

A central challenge in face perception research is to understand how neurons encode face identities. This challenge has not been met largely due to the lack of simultaneous access to the entire face processing neural network and the lack of a comprehensive multifaceted model capable of characterizing a large number of facial features. Here, we addressed this challenge by conducting in silico experiments using a pre-trained face recognition deep neural network (DNN) with a diverse array of stimuli. We identified a subset of DNN units selective to face identities, and these identity-selective units demonstrated generalized discriminability to novel faces. Visualization …

Novel App Knock-In Mouse Model Shows Key Features Of Amyloid Pathology And Reveals Profound Metabolic Dysregulation Of Microglia., Dan Xia, Steve Lianoglou, Thomas Sandmann, Meredith Calvert, Jung H Suh, Elliot Thomsen, Jason Dugas, Michelle E Pizzo, Sarah L Devos, Timothy K Earr, Chia-Ching Lin, Sonnet Davis, Connie Ha, Amy Wing-Sze Leung, Hoang Nguyen, Roni Chau, Ernie Yulyaningsih, Isabel Lopez, Hilda Solanoy, Shababa T Masoud, Chun-Chi Liang, Karin Lin, Giuseppe Astarita, Nathalie Khoury, Joy Yu Zuchero, Robert G Thorne, Kevin Shen, Stephanie Miller, Jorge J Palop, Dylan Garceau, Michael Sasner, Jennifer D Whitesell, Julie A Harris, Selina Hummel, Johannes Gnörich, Karin Wind, Lea Kunze, Artem Zatcepin, Matthias Brendel, Michael Willem, Christian Haass, Daniel Barnett, Till S Zimmer, Anna G Orr, Kimberly Scearce-Levie, Joseph W Lewcock, Gilbert Di Paolo, Pascal E Sanchez

Faculty Research 2022

BACKGROUND: Genetic mutations underlying familial Alzheimer's disease (AD) were identified decades ago, but the field is still in search of transformative therapies for patients. While mouse models based on overexpression of mutated transgenes have yielded key insights in mechanisms of disease, those models are subject to artifacts, including random genetic integration of the transgene, ectopic expression and non-physiological protein levels. The genetic engineering of novel mouse models using knock-in approaches addresses some of those limitations. With mounting evidence of the role played by microglia in AD, high-dimensional approaches to phenotype microglia in those models are critical to refine our understanding …

Ciliogenesis Mechanisms Mediated By Pak2-Arl13b Signaling In Brain Endothelial Cells Is Responsible For Vascular Stability, Karthikeyan Thirugnanam, Shubhangi Prabhudesai, Emma Van Why, Amy Pan, Ankan Gupta, Koji Foreman, Rahima Zennadi, Kevin R. Rarick, Surya M. Nauli, Sean P. Palacek, Ramani Ramchandran

Pharmacy Faculty Articles and Research

In the developing vasculature, cilia, microtubule-based organelles that project from the apical surface of endothelial cells (ECs), have been identified to function cell autonomously to promote vascular integrity and prevent hemorrhage. To date, the underlying mechanisms of endothelial cilia formation (ciliogenesis) are not fully understood. Understanding these mechanisms is likely to open new avenues for targeting EC-cilia to promote vascular stability. Here, we hypothesized that brain ECs ciliogenesis and the underlying mechanisms that control this process are critical for brain vascular stability. To investigate this hypothesis, we utilized multiple approaches including developmental zebrafish model system and primary cell culture systems. …

Precise Topology Of Adjacent Domain-General And Sensory-Biased Regions In The Human Brain, Moataz Assem, Sneha Shashidhara, Matthew F Glasser, John Duncan

2020-Current year OA Pubs

Recent functional MRI studies identified sensory-biased regions across much of the association cortices and cerebellum. However, their anatomical relationship to multiple-demand (MD) regions, characterized as domain-general due to their coactivation during multiple cognitive demands, remains unclear. For a better anatomical delineation, we used multimodal MRI techniques of the Human Connectome Project to scan subjects performing visual and auditory versions of a working memory (WM) task. The contrast between hard and easy WM showed strong domain generality, with essentially identical patterns of cortical, subcortical, and cerebellar MD activity for visual and auditory materials. In contrast, modality preferences were shown by contrasting …

Real-Time Motion Monitoring Improves Functional Mri Data Quality In Infants, Carolina Badke D'Andrea, Jeanette K Kenley, David F Montez, Amy E Mirro, Ryland L Miller, Eric A Earl, Jonathan M Koller, Sooyeon Sung, Essa Yacoub, Jed T Elison, Damien A Fair, Nico U F Dosenbach, Cynthia E Rogers, Christopher D Smyser, Deanna J Greene

2020-Current year OA Pubs

Imaging the infant brain with MRI has improved our understanding of early neurodevelopment. However, head motion during MRI acquisition is detrimental to both functional and structural MRI scan quality. Though infants are typically scanned while asleep, they commonly exhibit motion during scanning causing data loss. Our group has shown that providing MRI technicians with real-time motion estimates via Framewise Integrated Real-Time MRI Monitoring (FIRMM) software helps obtain high-quality, low motion fMRI data. By estimating head motion in real time and displaying motion metrics to the MR technician during an fMRI scan, FIRMM can improve scanning efficiency. Here, we compared average …

Musmorph, A Database Of Standardized Mouse Morphology Data For Morphometric Meta-Analyses., Jay Devine, Marta Vidal-García, Wei Liu, Amanda Neves, Lucas D Lo Vercio, Rebecca M Green, Heather A Richbourg, Marta Marchini, Colton M Unger, Audrey C Nickle, Bethany Radford, Nathan M Young, Paula N Gonzalez, Robert E Schuler, Alejandro Bugacov, Campbell Rolian, Christopher J Percival, Trevor Williams, Lee Niswander, Anne L Calof, Arthur D Lander, Axel Visel, Frank R Jirik, James M Cheverud, Ophir D Klein, Ramon Y Birnbaum, Amy E Merrill, Rebecca R Ackermann, Daniel Graf, Myriam Hemberger, Wendy Dean, Nils D Forkert, Stephen A. Murray, Henrik Westerberg, Ralph S Marcucio, Benedikt Hallgrímsson

Faculty Research 2022

Complex morphological traits are the product of many genes with transient or lasting developmental effects that interact in anatomical context. Mouse models are a key resource for disentangling such effects, because they offer myriad tools for manipulating the genome in a controlled environment. Unfortunately, phenotypic data are often obtained using laboratory-specific protocols, resulting in self-contained datasets that are difficult to relate to one another for larger scale analyses. To enable meta-analyses of morphological variation, particularly in the craniofacial complex and brain, we created MusMorph, a database of standardized mouse morphology data spanning numerous genotypes and developmental stages, including E10.5, E11.5, …

Surprise And Recency In Novelty Detection In The Primate Brain, Kaining Zhang, Ethan S Bromberg-Martin, Fatih Sogukpinar, Kim Kocher, Ilya E Monosov

2020-Current year OA Pubs

Primates and other animals must detect novel objects. However, the neuronal mechanisms of novelty detection remain unclear. Prominent theories propose that visual object novelty is either derived from the computation of recency (how long ago a stimulus was experienced) or is a form of sensory surprise (stimulus unpredictability). Here, we use high-channel electrophysiology in primates to show that in many primate prefrontal, temporal, and subcortical brain areas, object novelty detection is intertwined with the computations of recency and sensory surprise. Also, distinct circuits could be engaged by expected versus unexpected sensory surprise. Finally, we studied neuronal novelty-to-familiarity transformations during learning …

Reliability And Stability Challenges In Abcd Task Fmri Data, James T. Kennedy, Michael P. Harms, Ozlem Korucuoglu, Serguei V. Astafiev, Deanna M. Barch, Wesley K. Thompson, James M. Bjork, Andrey P. Anokhin

2020-Current year OA Pubs

Trait stability of measures is an essential requirement for individual differences research. Functional MRI has been increasingly used in studies that rely on the assumption of trait stability, such as attempts to relate task related brain activation to individual differences in behavior and psychopathology. However, recent research using adult samples has questioned the trait stability of task-fMRI measures, as assessed by test-retest correlations. To date, little is known about trait stability of task fMRI in children. Here, we examined within-session reliability and long-term stability of individual differences in task-fMRI measures using fMRI measures of brain activation provided by the adolescent …

Estropause, Sex Hormones And Metal Homeostasis In The Mouse Brain, Tianbing Liu, Richard L. Bowen, Andrea C. Wilson, Craig S. Atwood

Research outputs 2022 to 2026

Alterations in brain metal ion homeostasis have been reported with aging and are implicated in the pathogenesis of neurodegenerative diseases. To assess whether age-related changes in hypothalamic-pituitary-gonadal (HPG) hormones might be involved in modulating brain metal ion homeostasis, we treated 7.5-month intact, sham-ovariecomized and ovariectomized C57B6SJL mice with vehicle or leuprolide acetate (for 9-months) to differentiate between whether sex steroids or gonadotropins might modulate brain metal ion concentrations. Unlike other aging mammals, there was no increase in plasma luteinizing hormone (LH) and follicle-stimulating hormone (FSH) concentrations following estropause in mice, suggesting there was sufficient residual production by the follicle depleted …

Impact Forces And Patterns Of Axonal Injury Differ Between Two Models Of Tbi, Edward Lai, David M Devilbiss

Rowan-Virtua Research Day

Traumatic brain injury (TBI) affects approximately 3.8 million Americans a year and results in complex neuropathological and neurocognitive sequelae. Animal models of TBI attempt to replicate the impact forces and pathology of injury in humans. However, in these models, the forces generated at the time of impact are poorly understood. Nonetheless, a variety of shear and strain forces generated at the time of impact can produce diffuse axonal injury. Injury to axons and neurons across a variety of brain regions resulting from axonal injury underlies the cognitive and behavioral impairments observed after TBI. Three critical brain regions, the corpus callosum …

Translational Approaches To Understanding Resilience To Alzheimer's Disease., Sarah M Neuner, Maria Telpoukhovskaia, Vilas Menon, Kristen M S O'Connell, Timothy J Hohman, Catherine Kaczorowski

Faculty Research 2022

Individuals who maintain cognitive function despite high levels of Alzheimer's disease (AD)-associated pathology are said to be 'resilient' to AD. Identifying mechanisms underlying resilience represents an exciting therapeutic opportunity. Human studies have identified a number of molecular and genetic factors associated with resilience, but the complexity of these cohorts prohibits a complete understanding of which factors are causal or simply correlated with resilience. Genetically and phenotypically diverse mouse models of AD provide new and translationally relevant opportunities to identify and prioritize new resilience mechanisms for further cross-species investigation. This review will discuss insights into resilience gained from both human and …

Brain And Spinal Cord Adaptations Associated With Patellofemoral Pain: A Systematic Review And Meta-Analysis, Kara Meske, Savanna Budge Huerta, Austin Madriaga, Derrick Nguyenton

UNLV Theses, Dissertations, Professional Papers, and Capstones

Objective: To evaluate the evidence for altered cortical and spinal cord functions in individuals with patellofemoral pain (PFP).

Methods: We conducted a comprehensive search of databases to appraise and analyze the studies published prior to December 10, 2021 that examined spinal reflex excitability measured using Hoffmann reflex (H-reflex) amplitudes, corticospinal excitability measured using transcranial magnetic stimulation (TMS)-elicited motor evoked potential (MEP) amplitudes, motor threshold (MT), or stimulus-response (SR) curves, cortical reorganization assessed using TMS cortical mapping or structural magnetic resonance imaging (MRI), or functional changes of the brain assessed using functional MRI (fMRI) in individuals with PFP.

Results: Eight studies …

Optical Illusions To Schizophrenic Delusions: How Your Brain Can Alter Reality, Kathryn Stanislaski

Honors College

Widely misunderstood, stigmatized and understudied, schizophrenia is often misdiagnosed and incorrectly treated. While people diagnosed with schizophrenia are often thought to misinterpret reality, they may be more adept at processing visual sensory information and perceive reality better than those without schizophrenia. Studies involving patients with schizophrenia have shown consistent and extensive insusceptibility of these patients to a variety of optical illusions. In this paper, I propose that when processing visual information, people with schizophrenia rely greater upon the dorsal stream and areas in the brain associated with bottom-up processing, as opposed to those without schizophrenia that utilize the ventral stream …

The Road Ahead: An Occupational Therapy Manual To Infant Development For Parents In The Nicu, Nicole Suzuki-Uyeno

UNLV Theses, Dissertations, Professional Papers, and Capstones

Occupational therapists have been collaborating with the parents of our tiniest patients in the neonatal intensive care unit (NICU) for quite some time. They have a wealth of information and expertise in the area on infant development and parent education. Admitting a baby to the NICU is a shock for most parents and can take a toll on a family. The role of the occupational therapist is to help educate the family and to provide the tools to safely take care of their baby and to smoothen the transition from the hospital to home.

In the NICU, the OT has …

Anatomical Variability, Multi-Modal Coordinate Systems, And Precision Targeting In The Marmoset Brain, Takayuki Ose, David C Van Essen, Matthew F Glasser, Et Al.

2020-Current year OA Pubs

Localising accurate brain regions needs careful evaluation in each experimental species due to their individual variability. However, the function and connectivity of brain areas is commonly studied using a single-subject cranial landmark-based stereotactic atlas in animal neuroscience. Here, we address this issue in a small primate, the common marmoset, which is increasingly widely used in systems neuroscience. We developed a non-invasive multi-modal neuroimaging-based targeting pipeline, which accounts for intersubject anatomical variability in cranial and cortical landmarks in marmosets. This methodology allowed creation of multi-modal templates (MarmosetRIKEN20) including head CT and brain MR images, embedded in coordinate systems of anterior and …

Association Of Prenatal Exposure To Early-Life Adversity With Neonatal Brain Volumes At Birth, Regina L Triplett, Rachel E Lean, Amisha Parikh, J Philip Miller, Dimitrios Alexopoulos, Sydney Kaplan, Dominique Meyer, Christopher Adamson, Tara A Smyser, Cynthia E Rogers, Deanna M Barch, Barbara Warner, Joan L Luby, Christopher D Smyser

2020-Current year OA Pubs

Importance: Exposure to early-life adversity alters the structural development of key brain regions underlying neurodevelopmental impairments. The association between prenatal exposure to adversity and brain structure at birth remains poorly understood.

Objective: To examine whether prenatal exposure to maternal social disadvantage and psychosocial stress is associated with neonatal global and regional brain volumes and cortical folding.

Design, Setting, and Participants: This prospective, longitudinal cohort study included 399 mother-infant dyads of sociodemographically diverse mothers recruited in the first or early second trimester of pregnancy and their infants, who underwent brain magnetic resonance imaging in the first weeks of life. Mothers were …

Blood-Based Mirna Biomarkers As Correlates Of Brain-Based Mirna Expression, Mark Kos, Sobha Puppala, Dianne Cruz, Jennifer L. Neary, Ashish Kumar, Emma Dalan, Cun Li, Peter Nathanielsz, Melanie A. Carless

School of Medicine Publications and Presentations

The use of easily accessible peripheral samples, such as blood or saliva, to investigate neurological and neuropsychiatric disorders is well-established in genetic and epigenetic research, but the pathological implications of such biomarkers are not easily discerned. To better understand the relationship between peripheral blood- and brain-based epigenetic activity, we conducted a pilot study on captive baboons (Papio hamadryas) to investigate correlations between miRNA expression in peripheral blood mononuclear cells (PBMCs) and 14 different cortical and subcortical brain regions, represented by two study groups comprised of 4 and 6 animals. Using next-generation sequencing, we identified 362 miRNAs expressed at …