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Dive into the research topics where Jeremy F.P. Ullmann is active.

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Featured researches published by Jeremy F.P. Ullmann.


Molecular Psychiatry | 2015

Molecular psychiatry of zebrafish

Adam Michael Stewart; Jeremy F.P. Ullmann; William Norton; Matthew O. Parker; Caroline H. Brennan; Robert Gerlai; Allan V. Kalueff

Due to their well-characterized neural development and high genetic homology to mammals, zebrafish (Danio rerio) have emerged as a powerful model organism in the field of biological psychiatry. Here, we discuss the molecular psychiatry of zebrafish, and its implications for translational neuroscience research and modeling central nervous system (CNS) disorders. In particular, we outline recent genetic and technological developments allowing for in vivo examinations, high-throughput screening and whole-brain analyses in larval and adult zebrafish. We also summarize the application of these molecular techniques to the understanding of neuropsychiatric disease, outlining the potential of zebrafish for modeling complex brain disorders, including attention-deficit/hyperactivity disorder (ADHD), aggression, post-traumatic stress and substance abuse. Critically evaluating the advantages and limitations of larval and adult fish tests, we suggest that zebrafish models become a rapidly emerging new field in modern molecular psychiatry research.


NeuroImage | 2013

A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex

Jeremy F.P. Ullmann; Charles Watson; Andrew L. Janke; Nyoman D. Kurniawan; David C. Reutens

The neocortex is the largest component of the mammalian cerebral cortex. It integrates sensory inputs with experiences and memory to produce sophisticated responses to an organisms internal and external environment. While areal patterning of the mouse neocortex has been mapped using histological techniques, the neocortex has not been comprehensively segmented in magnetic resonance images. This study presents a method for systematic segmentation of the C57BL/6J mouse neocortex. We created a minimum deformation atlas, which was hierarchically segmented into 74 neocortical and cortical-related regions, making it the most detailed atlas of the mouse neocortex currently available. In addition, we provide mean volumes and relative intensities for each structure as well as a nomenclature comparison between the two most cited histological atlases of the mouse brain. This MR atlas is available for download, and it should enable researchers to perform automated segmentation in genetic models of cortical disorders.


Brain Behavior and Evolution | 2012

The Retinal Wholemount Technique: A Window to Understanding the Brain and Behaviour

Jeremy F.P. Ullmann; Bret A. Moore; Shelby E. Temple; Esteban Fernández-Juricic; Shaun P. Collin

The accessibility of the vertebrate retina has provided the opportunity to assess various parameters of the visual abilities of a range of species. This thin but complex extension of the brain achieves a large proportion of the necessary visual processing of an optical image before information is delivered to the brain as neural impulses. Studies of the retina as a wholemount or a flattened sheet of neural tissue are abundant due to the large amount of information that can be analysed, as follows: the level of summation or convergence; the coverage, stratification and potential sites of synaptic connections; the spatial resolving power; the arrangement of neuronal arrays or mosaics; electrophysiological access for the recording of responses to visual stimuli; the spatial arrangement of cell dendritic fields; location of retinal ‘blind spots’ (optic nerve, falciform process and pecten); topographic differences in retinal cell sampling; spectral filters, and reflective structures. The present study examines all aspects of the wholemount technique, including enucleation, fixation, retinal extraction, flattening, staining, visualization of labelled cells and stereological mapping of cell density. Uniquely, it highlights the crucial technical and often species-specific differences encountered when examining a range of vertebrate taxa (fishes, reptiles, birds and mammals). This broad comparative approach will enable future studies to overcome technical difficulties, thus permitting larger conceptual questions to be posed regarding the diversity of visual tasks across phylogenetic boundaries.


NeuroImage | 2010

A three-dimensional digital atlas of the zebrafish brain

Jeremy F.P. Ullmann; Gary Cowin; Nyoman D. Kurniawan; Shaun P. Collin

In the past three decades, the zebrafish has become a vital animal model in a range of biological sciences. To augment current neurobiological research, we have developed the first three-dimensional digital atlas of the zebrafish brain from T2-weighted magnetic resonance histology (MRH) images acquired on a 16.4-T superconducting magnet. We achieved an isotropic resolution of 10 microm, which is the highest resolution achieved in a vertebrate brain and, for the first time, is comparable in slice thickness to conventional histology. By using manual segmentation, 53 anatomical structures, including fiber tracts as small as 40 microm, were delineated. Using Amira software, structures were also individually segmented and reconstructed to create three-dimensional animations. Additional quantitative information including, volume, surface areas, and mean gray scale intensities were also determined. Finally, we established a stereotaxic coordinate system as a framework in which maps created from other modalities can be incorporated into the atlas.


Human Brain Mapping | 2015

Brain tissue compartment density estimated using diffusion-weighted MRI yields tissue parameters consistent with histology

Farshid Sepehrband; Kristi A. Clark; Jeremy F.P. Ullmann; Nyoman D. Kurniawan; Gayeshika Leanage; David C. Reutens; Zhengyi Yang

We examined whether quantitative density measures of cerebral tissue consistent with histology can be obtained from diffusion magnetic resonance imaging (MRI). By incorporating prior knowledge of myelin and cell membrane densities, absolute tissue density values were estimated from relative intracellular and intraneurite density values obtained from diffusion MRI. The NODDI (neurite orientation distribution and density imaging) technique, which can be applied clinically, was used. Myelin density estimates were compared with the results of electron and light microscopy in ex vivo mouse brain and with published density estimates in a healthy human brain. In ex vivo mouse brain, estimated myelin densities in different subregions of the mouse corpus callosum were almost identical to values obtained from electron microscopy (diffusion MRI: 42 ± 6%, 36 ± 4%, and 43 ± 5%; electron microscopy: 41 ± 10%, 36 ± 8%, and 44 ± 12% in genu, body and splenium, respectively). In the human brain, good agreement was observed between estimated fiber density measurements and previously reported values based on electron microscopy. Estimated density values were unaffected by crossing fibers. Hum Brain Mapp 36:3687–3702, 2015.


NMR in Biomedicine | 2009

Magnetic resonance histology of the adult zebrafish brain: Optimization of fixation and gadolinium contrast enhancement

Jeremy F.P. Ullmann; Gary Cowin; Nyoman D. Kurniawan; Shaun P. Collin

Magnetic resonance histology (MRH) has become a widespread tool to examine brain morphology in situ or ex vivo. Samples are routinely fixed and stained to allow for longer scan times with increased contrast and resolution. Although the zebrafish is an important model for neuroscience, to date most MRH studies have focused almost exclusively on mice. In this paper, we examined, for the first time, the zebrafish brain using MRH. We compared a range of fixatives, contrast agents, and fixation/staining durations to determine optimal imaging of the zebrafish brain. By quantifying the T1, T2, and T2* relaxation values, we demonstrated that ethanol and potassium permanganate are unviable for imaging and significant differences exist between mono and di‐aldehydes. Furthermore, we compared two commercially available gadolinium‐based contrast agents, Magnevist® and Optimark®, at five different concentrations. For both contrast agents, a concentration of 0.5% was determined to be ideal as it significantly shortened the T1 but maintained a relatively long T2 and T2*. Subsequently, we analyzed the duration of fixation/staining and established a period of 12 h, which best minimized T1 values but maintained T2 and T2* values. Finally, using this optimized fixation and staining protocol, we performed a gradient‐echo T2*‐weighted imaging to obtain an image set of the adult zebrafish brain at an isotropic resolution of 10 µm. Copyright


NeuroImage | 2012

Segmentation of the C57BL/6J mouse cerebellum in magnetic resonance images

Jeremy F.P. Ullmann; Marianne D. Keller; Charles Watson; Andrew L. Janke; Nyoman D. Kurniawan; Zhengyi Yang; Kay L. Richards; George Paxinos; Gary F. Egan; Steven Petrou; Perry F. Bartlett; Graham J. Galloway; David C. Reutens

The C57BL mouse is the centerpiece of efforts to use gene-targeting technology to understand cerebellar pathology, thus creating a need for a detailed magnetic resonance imaging (MRI) atlas of the cerebellum of this strain. In this study we present a methodology for systematic delineation of the vermal and hemispheric lobules of the C57BL/6J mouse cerebellum in magnetic resonance images. We have successfully delineated 38 cerebellar and cerebellar-related structures. The higher signal-to-noise ratio achieved by group averaging facilitated the identification of anatomical structures. In addition, we have calculated average region volumes and created probabilistic maps for each structure. The segmentation method and the probabilistic maps we have created will provide a foundation for future studies of cerebellar disorders using transgenic mouse models.


Neurology | 2013

Hippocampal volume and cell density changes in a mouse model of human genetic epilepsy

Kay L. Richards; Nyoman D. Kurniawan; Zhengyi Yang; Tae Hwan Kim; Marianne D. Keller; Jun Low; Jeremy F.P. Ullmann; Stacey J. Cole; Samuel Foong; Graham J. Galloway; Christopher A. Reid; George Paxinos; David C. Reutens; Steven Petrou

Objective: The human γ-aminobutyric acid type A (GABAA)γ2R43Q (R43Q) mutation is associated with genetic epilepsy with febrile seizures. R43Q mice in the C57Bl/6J background do not display spontaneous seizures, but are significantly more susceptible to hyperthermic seizures, providing a model with enhanced seizure susceptibility without the confounding influence of ongoing epileptic activity. Because of GABAs role in brain development, we sought to determine whether the R43Q mutation alters brain structure before the appearance of seizures. Methods: We used 16.4-tesla, high-field MRI to determine the volumes of hippocampal subregions. Histologic analysis of the same brains allowed stereology-based estimates of neuron counts to be obtained in CA1–3 and the dentate gyrus. Results: Morphologic changes were evident in seizure-naive hippocampi of susceptible mice. Dentate granule cell MRI determined that volume was 5% greater in R43Q mice compared with controls (0.628 mm3, 95% confidence interval [CI] 0.611–0.645 vs 0.595 mm3, 95% CI 0.571–0.619). The dentate granule cell density was 30% higher in R43Q compared with control mice (553 × 103 cells/mm3, 95% CI 489–616 vs 427 × 103 cells/mm3, 95% CI 362–491). Conclusions: In a genetic epilepsy model that is both seizure-naive and carries an allele for febrile seizure susceptibility, we have determined hippocampal structural changes that may be applied as a biomarker for seizure susceptibility.


Brain Behavior and Evolution | 2010

Quantitative Assessment of Brain Volumes in Fish: Comparison of Methodologies

Jeremy F.P. Ullmann; Gary Cowin; Shaun P. Collin

When correlating brain areas with behavioral and environmental characteristics, a variety of techniques are employed. In fishes (elasmobranchs and teleosts), 2 methods, histology and the idealized ellipsoid and/or half-ellipsoid technique, are primarily used to calculate the volume of a brain area and therefore its relationship to social or ecological complexity. In this study on a perciform teleost, we have quantitatively compared brain volumes obtained using the conventional techniques of histology and approximating brain volume to an idealized ellipsoid (or half ellipsoid) and magnetic resonance imaging, an established clinical tool typically used for assessing brain volume in other vertebrates. Our results indicate that, when compared to brain volumes measured using magnetic resonance imaging of brain regions in situ, variations in brain shape and histological artifacts can lead to significant differences in brain volume, especially in the telencephalon and optic tecta. Consequently, in comparative studies of brain volumes, we advise caution when using the histological and/or ellipsoid methods to make correlations between brain area size and environmental, behavioral and social characteristics and, when possible, we propose the use of magnetic resonance imaging.


Brain Research Bulletin | 2016

Genetic and environmental modulation of neurodevelopmental disorders: translational insights from labs to beds

Judith R. Homberg; Evan J. Kyzar; Maria Luisa Scattoni; William Norton; Julian Pittman; Siddharth Gaikwad; Michael Nguyen; Manoj K. Poudel; Jeremy F.P. Ullmann; David M. Diamond; Aleksandra Kaluyeva; Matthew O. Parker; Richard E. Brown; Cai Song; Raul R. Gainetdinov; Irving I. Gottesman; Allan V. Kalueff

Neurodevelopmental disorders (NDDs) are a heterogeneous group of prevalent neuropsychiatric illnesses with various degrees of social, cognitive, motor, language and affective deficits. NDDs are caused by aberrant brain development due to genetic and environmental perturbations. Common NDDs include autism spectrum disorder (ASD), intellectual disability, communication/speech disorders, motor/tic disorders and attention deficit hyperactivity disorder. Genetic and epigenetic/environmental factors play a key role in these NDDs with significant societal impact. Given the lack of their efficient therapies, it is important to gain further translational insights into the pathobiology of NDDs. To address these challenges, the International Stress and Behavior Society (ISBS) has established the Strategic Task Force on NDDs. Summarizing the Panels findings, here we discuss the neurobiological mechanisms of selected common NDDs and a wider NDD+ spectrum of associated neuropsychiatric disorders with developmental trajectories. We also outline the utility of existing preclinical (animal) models for building translational and cross-diagnostic bridges to improve our understanding of various NDDs.

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Shaun P. Collin

University of Western Australia

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Gary Cowin

University of Queensland

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