Age Effects and Sex Differences in Human Brain White Matter of Young to Middle-Aged Adults: A DTI, NODDI, and q-Space Study

Microstructural changes in human brain white matter of young to middle-aged adults were studied using advanced diffusion Magnetic Resonance Imaging (dMRI). Multiple shell diffusion-weighted data were acquired using the Hybrid Diffusion Imaging (HYDI). The HYDI method is extremely versatile and data were analyzed using Diffusion Tensor Imaging (DTI), Neurite Orientation Dispersion and Density Imaging (NODDI), and q-space imaging approaches. Twenty-four females and 23 males between 18 and 55years of age were included in this study. The impact of age and sex on diffusion metrics were tested using least squares linear regressions in 48 white matter regions of interest (ROIs) across the whole brain and adjusted for multiple comparisons across ROIs. In this study, white matter projections to either the hippocampus or the cerebral cortices were the brain regions most sensitive to aging. Specifically, in this young to middle-aged cohort, aging effects were associated with more dispersion of white matter fibers while the tissue restriction and intra-axonal volume fraction remained relatively stable. The fiber dispersion index of NODDI exhibited the most pronounced sensitivity to aging. In addition, changes of the DTI indices in this aging cohort were correlated mostly with the fiber dispersion index rather than the intracellular volume fraction of NODDI or the q-space measurements. While men and women did not differ in the aging rate, men tend to have higher intra-axonal volume fraction than women. This study demonstrates that advanced dMRI using a HYDI acquisition and compartmental modeling of NODDI can elucidate microstructural alterations that are sensitive to age and sex. Finally, this study provides insight into the relationships between DTI diffusion metrics and advanced diffusion metrics of NODDI model and q-space imaging

A hypomyelinating leukodystrophy in German Shepherd dogs

Background Shaking puppy syndrome is commonly attributed to abnormal myelination of the central nervous system. Hypothesis/Objectives To report the long-term clinical course and the imaging characteristics of hypomyelinating leukodystrophy in German Shepherd dogs. Animals and Methods Three related litters with 11 affected dogs. Results The 11 affected dogs experienced coarse, side-to-side tremors of the head and trunk, which interfered with normal goal-oriented movements and disappeared at rest. Signs were noticed shortly after birth. Nine dogs were euthanized, 3 dogs underwent pathological examination, and 2 littermates were raised by their breeder. Tremors improved gradually until 6 to 7 months of age. Adult dogs walked with severe residual pelvic limb ataxia. One dog developed epilepsy with tonic-clonic seizures at 15 months of age. Conventional magnetic resonance imaging (MRI) disclosed homogenous hyperintense signal of the entire subcortical white matter in 3 affected 7-week-old dogs and a hypointense signal in a presumably unaffected littermate. Subcortical white matter appeared isointense to gray matter at 15 and 27 weeks of age on repeated MRI. Abnormal white matter signal with failure to display normal gray-white matter contrast persisted into adulthood. Cerebellar arbor vitae was not visible at any time point. Clinical signs, MRI findings, and pathological examinations were indicative of a hypomyelinating leukodystrophy. All parents of the affected litters shared a common ancestor and relatedness of the puppies suggested an autosomal recessive mode of inheritance. Conclusion We describe a novel hypomyelinating leukodystrophy in German Shepherd dogs with a suspected inherited origin.Peer reviewe

Phenotypic analysis of the Plp1 gene overexpressing mouse model #72 : implications for demyelination and remyelination failure

Duplication of the proteolipid protein (PLP1) gene, which encodes the most abundant protein of central nervous system (CNS) myelin, is the most common cause of Pelizaeus Merzbacher disease (PMD). Various animal models have been generated to study the effect of Plp1 gene overexpression on oligodendrocyte and myelin sheath integrity. The #72 line harbours 3 additional copies of the murine Plp1 gene per haploidic chromosomal set. Homozygous #72 mice appear phenotypically normal until three months of age, after which they develop seizures leading to premature death at around 4 months of age. An earlier study examining the optic nerve showed a progressive demyelination accompanied by marked microglial and astrocytic responses. Using electron microscopy and immunohistochemistry, I demonstrated that initial myelination of the #72 corpus callosum was followed by a progressive demyelination, probably mediated by a distal “dying back” phenomenon of the myelin sheath. No evidence of effective remyelination was observed despite the presence and proliferation of oligodendrocyte progenitor cells (OPCs). A marked increase in density and reactivity of microglia/macrophages and astrocytes, and the occurrence of axonal swellings, accompanied the demyelination. In situ and in vitro evaluation of adult #72 OPCs provided evidence of impaired OPC differentiation. Transplantation of neurospheres (NS) into adult #72 mouse corpus callosum confirmed that axons were capable of undergoing remyelination. Furthermore, NS transplanted into neonatal CNS integrated into the parenchyma and survived up to 120 days, demonstrating the potential of early cell replacement therapy. Taking advantage of the spatially distinct pathologies between the retinal and chiasmal region of the #72 optic nerve, I evaluated the capability of diffusion weighted MRI to identify lesion type. I found significant differences between #72 and wild type optic nerves, as well as between the two distinct pathological regions within the #72 optic nerve. These results confirm the potential of the #72 mouse to serve as a model to study chronic demyelination. The study also demonstrates the utility of the #72 mouse to evaluate cell transplant strategies for the treatment of chronic CNS white matter lesions and PMD. Additionally, DW MRI has potential as a modality capable of diagnosing myelin-related white matter changes, and may be applicable to the clinical setting

Application Of Magnetic Resonance Imaging To Understanding The Pathogenesis Of The X-Linked Leukodystrophy Pelizaeus-Merzbacher Disease

Myelin is a multilamellar membrane structure surrounding axons in both the CNS and PNS that facilitates nerve conduction. In the CNS, myelin is synthesized by oligodendrocytes, while in the PNS, myelin is synthesized by Schwann cells. In the CNS, Proteolipid protein 1 (PLP1), an integral membrane protein, is the major protein component of myelin, constituting ~50% of myelin protein. Mutations of the PLP1 gene in man cause a spectrum of neurological disease, ranging from the severe Pelizaeus-Merzbacher disease (PMD), that typically begins during infancy with nystagmus, seizures and hypotonia and evolves into spastic quadriparesis, cognitive impairment and ataxia, to ¡¥pure¡¦ spastic paraparesis, that is characterized exclusively by leg spasticity and weakness. The predominant pathological abnormality in PMD consists of thinning to almost complete absence of myelin in the CNS. Gow and colleagues have proposed that the severity of mutations that alter the structure of PLP1 (typically missense mutations) correlates with the degree to which they cause protein misfolding, activate the unfolded protein response, and cause oligodendrocyte apoptosis (Gow and Sharma, Neuromolecular Med 4:73, 2003). Implicit in this mechanism is that the degree of myelination should inversely correlate with the degree to which oligodendrocyte apoptosis is activated. We speculated that the early PMD phenotype predominantly is dictated by the effect on oligodendrocyte viability. In contrast, we have found that complete absence of PLP1 in both mice and humans is characterized by well-formed myelin, but late length-dependent pattern of axonal degeneration (Garbern et al. Brain 125:551, 2002). We speculate that progression of disease correlates with the rate of axonal damage. The goal of this study was to investigate whether non-invasive MR techniques to assess extent of myelination and degree of axonal disruption correlated with measures of clinical capacity. Furthermore we wanted to differentiate between axonal and myelin pathology using diffusion tensor imaging as a reliable imaging modality to assess the effects of PLP1 mutations on water diffusion in central nervous system (CNS) white matter. The most dramatic difference between PMD patients and age-matched controls was increased £ffÎ, most marked in the corpus callosum. Moreover, this was most prominent in patients with PLP1 null mutations. Increased radial diffusion has been reported in dysmyelinating rodents, including the myelin synthesis deficient rat (md) that has a severe Plp1 missense mutation. Interestingly, £f// was also increased in the severely affected PMD patients, whereas in severely dysmyelinated rodents, the £ffÎ is reported to be normal to decreased. £f// in patients with PLP1 null mutations was relatively unaffected relative to controls. Since the degree of myelination is relatively preserved in PLP1 null myelin, the increased radial diffusion is not the result of thinner myelin sheaths. Therefore the increased radial diffusion is more likely due to increased myelin water, due to decreased compaction, and which may be in part due to the existence of a ¡§radial component¡¨ to myelin, described in Plp1 null mice, created by aqueous channels that span the myelin sheath. Additional factors, such as astrocytosis, may also contribute to the increased radial diffusion. Genetic abnormalities effecting the PLP1 gene has been shown to cause axonal injury and significant early-onset dysmyelination and late-onset demyelination. The exact mutational mechanism remains to be described, although substantial progress had been made to make reasonable assessments that may provide a better understanding towards the disease pathogenesis. In the study involving autopsy tissue from genetically characterized patients has provided valuable information that describes the changes in the structural architecture of the tissue over time. These pathologic changes corroborate with the findings from the diffusion imaging making these two methods extremely reliable for describing the pathologic state as each patient experience a slightly different pathogenic course that is dependent on the exact PLP1 mutation

A canine model of human aging and Alzheimer's disease

AbstractThe aged dog naturally develops cognitive decline in many different domains (including learning and memory) but also exhibits human-like individual variability in the aging process. The neurobiological basis for cognitive dysfunction may be related to structural changes that reflect neurodegeneration. Molecular cascades that contribute to degeneration in the aging dog brain include the progressive accumulation of beta-amyloid (Aβ) in diffuse plaques and in the cerebral vasculature. In addition, neuronal dysfunction occurs as a consequence of mitochondrial dysfunction and cumulative oxidative damage. In combination, the aged dog captures key features of human aging, making them particularly useful for the development of preventive or therapeutic interventions to improve aged brain function. These interventions can then be translated into human clinical trials. This article is part of a Special Issue entitled: Animal Models of Disease

Hypomyelinating leukodystrophies:Translational research progress and prospects

Hypomyelinating leukodystrophies represent a genetically heterogeneous but clinically overlapping group of heritable disorders. Current management approaches in the care of the patient with a hypomyelinating leukodystrophy include use of serial magnetic resonance imaging (MRI) to establish and monitor hypomyelination, molecular diagnostics to determine a specific etiology, and equally importantly, careful attention to neurologic complications over time. Emerging research in oligodendrocyte biology and neuroradiology with bedside applications may result in the possibility of clinical trials in the near term, yet there are significant gaps in knowledge in disease classification, characterization, and outcome measures in this group of disorders. Here we review the biological background of myelination, the clinical and genetic variability in hypomyelinating leukodystrophies, and the insights that can be obtained from current MRI techniques. In addition, we discuss ongoing research approaches to define potential outcome markers for future clinical trials

Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging

The value of in vivo preclinical diffusion MRI (dMRI) is substantial. Small-animal dMRI has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. Many of the influential works in this field were first performed in small animals or ex vivo samples. The steps from animal setup and monitoring, to acquisition, analysis, and interpretation are complex, with many decisions that may ultimately affect what questions can be answered using the data. This work aims to serve as a reference, presenting selected recommendations and guidelines from the diffusion community, on best practices for preclinical dMRI of in vivo animals. In each section, we also highlight areas for which no guidelines exist (and why), and where future work should focus. We first describe the value that small animal imaging adds to the field of dMRI, followed by general considerations and foundational knowledge that must be considered when designing experiments. We briefly describe differences in animal species and disease models and discuss how they are appropriate for different studies. We then give guidelines for in vivo acquisition protocols, including decisions on hardware, animal preparation, imaging sequences and data processing, including pre-processing, model-fitting, and tractography. Finally, we provide an online resource which lists publicly available preclinical dMRI datasets and software packages, to promote responsible and reproducible research. An overarching goal herein is to enhance the rigor and reproducibility of small animal dMRI acquisitions and analyses, and thereby advance biomedical knowledge.Comment: 69 pages, 6 figures, 1 tabl

Niemann-Pick Type C Disease: Molecular Mechanisms of Neurodegeneration and Targets for Therapeutic Intervention.

Niemann-Pick Type C disease (NPC) is a childhood-onset neurodegenerative disorder characterized by the accumulation of unesterified cholesterol and glycosphingolipids in late endosomes and lysosomes. Most NPC cases are caused by loss-of-function mutations in the ubiquitously expressed NPC1 gene, which encodes a multi-pass transmembrane protein essential for mobilizing cholesterol from the endolysosomal system. How NPC1 dysfunction leads to progressive neurodegeneration remains unknown and effective treatment is lacking. I used a conditional knockout mouse model of NPC to define the timing and cell type underlying neurodegeneration due to Npc1 deficiency. Global deletion of Npc1 in adult mice leads to progressive weight loss, impaired motor function and early death similar to that resulting from germline deletion. Additionally, the disease can be recapitulated when Npc1 is specifically deleted in neurons. In contrast, Npc1 deficiency in mature astrocytes does not produce any detectable defects. These findings demonstrate that neurons, but not astrocytes, play a critical role in the pathogenesis of NPC. I also explored the contribution of exogenously derived cholesterol to CNS myelination. I showed that Npc1 deficiency in either neurons or oligodendrocytes is sufficient to block oligodendrocyte maturation and myelination, with the most severe impairment in the forebrain. In addition, Npc1 deficiency in oligodendrocytes also leads to demyelination and secondary Purkinje neuron degeneration in aged mice. These data demonstrate that lipid uptake by neurons and oligodendrocytes through an Npc1-dependent pathway is required for both the formation and maintenance of CNS myelin. In addition, I explored a potential treatment strategy that targets mutant NPC1 protein with missense mutations. My data demonstrate that by increasing ER calcium levels in patient fibroblasts, ryanodine receptor antagonists increase the steady-state levels of the NPC1 I1061T protein, promote its trafficking to the late endosomes and lysosomes, and recue the lipid storage defects. My work highlights the utility of proteostasis regulators to remodel the ER protein folding environment to enable functional recovery. In summary, the findings presented here provide new insights into the pathogenic mechanisms underlying NPC and suggest a possible approach for therapeutic intervention.PHDMolecular & Cellular PathologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/98048/1/tingyu_1.pd

Examining the development of brain structure in utero with fetal MRI, acquired as part of the Developing Human Connectome Project

The human brain is an incredibly complex organ, and the study of it traverses many scales across space and time. The development of the brain is a protracted process that begins embryonically but continues into adulthood. Although neural circuits have the capacity to adapt and are modulated throughout life, the major structural foundations are laid in utero during the fetal period, through a series of rapid but precisely timed, dynamic processes. These include neuronal proliferation, migration, differentiation, axonal pathfinding, and myelination, to name a few. The fetal origins of disease hypothesis proposed that a variety of non-communicable diseases emerging in childhood and adulthood could be traced back to a series of risk factors effecting neurodevelopment in utero (Barker 1995). Since this publication, many studies have shown that the structural scaffolding of the brain is vulnerable to external environmental influences and the perinatal developmental window is a crucial determinant of neurological health later in life. However, there remain many fundamental gaps in our understanding of it. The study of human brain development is riddled with biophysical, ethical, and technical challenges. The Developing Human Connectome Project (dHCP) was designed to tackle these specific challenges and produce high quality open-access perinatal MRI data, to enable researchers to investigate normal and abnormal neurodevelopment (Edwards et al., 2022). This thesis will focus on investigating the diffusion-weighted and anatomical (T2) imaging data acquired in the fetal period, between the second to third trimester (22 – 37 gestational weeks). The limitations of fetal MR data are ill-defined due to a lack of literature and therefore this thesis aims to explore the data through a series of critical and strategic analysis approaches that are mindful of the biophysical challenges associated with fetal imaging. A variety of analysis approaches are optimised to quantify structural brain development in utero, exploring avenues to relate the changes in MR signal to possible neurobiological correlates. In doing so, the work in this thesis aims to improve mechanistic understanding about how the human brain develops in utero, providing the clinical and medical imaging community with a normative reference point. To this aim, this thesis investigates fetal neurodevelopment with advanced in utero MRI methods, with a particular emphasis on diffusion MRI. Initially, the first chapter outlines a descriptive, average trajectory of diffusion metrics in different white matter fiber bundles across the second to third trimester. This work identified unique polynomial trajectories in diffusion metrics that characterise white matter development (Wilson et al., 2021). Guided by previous literature on the sensitivity of DWI to cellular processes, I formulated a hypothesis about the biophysical correlates of diffusion signal components that might underpin this trend in transitioning microstructure. This hypothesis accounted for the high sensitivity of the diffusion signal to a multitude of simultaneously occurring processes, such as the dissipating radial glial scaffold, commencement of pre-myelination and arborization of dendritic trees. In the next chapter, the methods were adapted to address this hypothesis by introducing another dimension, and charting changes in diffusion properties along developing fiber pathways. With this approach it was possible to identify compartment-specific microstructural maturation, refining the spatial and temporal specificity (Wilson et al., 2023). The results reveal that the dynamic fluctuations in the components of the diffusion signal correlate with observations from previous histological work. Overall, this work allowed me to consolidate my interpretation of the changing diffusion signal from the first chapter. It also serves to improve understanding about how diffusion signal properties are affected by processes in transient compartments of the fetal brain. The third chapter of this thesis addresses the hypothesis that cortical gyrification is influenced by both underlying fiber connectivity and cytoarchitecture. Using the same fetal imaging dataset, I analyse the tissue microstructural change underlying the formation of cortical folds. I investigate correlations between macrostructural surface features (curvature, sulcal depth) and tissue microstructural measures (diffusion tensor metrics, and multi-shell multi-tissue decomposition) in the subplate and cortical plate across gestational age, exploring this relationship both at the population level and within subjects. This study provides empirical evidence to support the hypotheses that microstructural properties in the subplate and cortical plate are altered with the development of sulci. The final chapter explores the data without anatomical priors, using a data-driven method to extract components that represent coordinated structural maturation. This analysis aims to examine if brain regions with coherent patterns of growth over the fetal period converge on neonatal functional networks. I extract spatially independent features from the anatomical imaging data and quantify the spatial overlap with pre-defined neonatal resting state networks. I hypothesised that coherent spatial patterns of anatomical development over the fetal period would map onto the functional networks observed in the neonatal period. Overall, this thesis provides new insight about the developmental contrast over the second to third trimester of human development, and the biophysical correlates affecting T2 and diffusion MR signal. The results highlight the utility of fetal MRI to research critical mechanisms of structural brain maturation in utero, including white matter development and cortical gyrification, bridging scales from neurobiological processes to whole brain macrostructure. their gendered constructions relating to women