Magnetic Resonance Imaging of Marmoset Monkeys

The use of the common marmoset monkey (Callithrix jacchus) for neuroscientific research has grown markedly in the last decade. Magnetic resonance imaging (MRI) has played a significant role in establishing the extent of comparability of marmoset brain architecture with the human brain and brains of other preclinical species (eg, macaques and rodents). As a non-invasive technique, MRI allows for the flexible acquisition of the same sequences across different species in vivo, including imaging of whole-brain functional topologies not possible with more invasive techniques. Being one of the smallest New World primates, the marmoset may be an ideal nonhuman primate species to study with MRI. As primates, marmosets have an elaborated frontal cortex with features analogous to the human brain, while also having a small enough body size to fit into powerful small-bore MRI systems typically employed for rodent imaging; these systems offer superior signal strength and resolution. Further, marmosets have a rich behavioral repertoire uniquely paired with a lissencephalic cortex (like rodents). This smooth cortical surface lends itself well to MRI and also other invasive methodologies. With the advent of transgenic modification techniques, marmosets have gained significant traction as a powerful complement to canonical mammalian modelling species. Marmosets are poised to make major contributions to preclinical investigations of the pathophysiology of human brain disorders as well as more basic mechanistic explorations of the brain. The goal of this article is to provide an overview of the practical aspects of implementing MRI and fMRI in marmosets (both under anesthesia and fully awake) and discuss the development of resources recently made available for marmoset imaging

Diverse and asymmetric patterns of single-neuron projectome in regulating interhemispheric connectivity

Abstract The corpus callosum, historically considered primarily for homotopic connections, supports many heterotopic connections, indicating complex interhemispheric connectivity. Understanding this complexity is crucial yet challenging due to diverse cell-specific wiring patterns. Here, we utilized public AAV bulk tracing and single-neuron tracing data to delineate the anatomical connection patterns of mouse brains and conducted wide-field calcium imaging to assess functional connectivity across various brain states in male mice. The single-neuron data uncovered complex and dense interconnected patterns, particularly for interhemispheric-heterotopic connections. We proposed a metric “heterogeneity” to quantify the complexity of the connection patterns. Computational modeling of these patterns suggested that the heterogeneity of upstream projections impacted downstream homotopic functional connectivity. Furthermore, higher heterogeneity observed in interhemispheric-heterotopic projections would cause lower strength but higher stability in functional connectivity than their intrahemispheric counterparts. These findings were corroborated by our wide-field functional imaging data, underscoring the important role of heterotopic-projection heterogeneity in interhemispheric communication

Rhesus monkey brain development during late infancy and the effect of phencyclidine: a longitudinal MRI and DTI study

Early brain development is a complex and rapid process, the disturbance of which may cause the onset of brain disorders. Based on longitudinal imaging data acquired from 6 to 16. months postnatal, we describe a systematic trajectory of monkey brain development during late infancy, and demonstrate the influence of phencyclidine (PCP) on this trajectory. Although the general developmental trajectory of the monkey brain was close to that of the human brain, the development in monkeys was faster and regionally specific. Gray matter volume began to decrease during late infancy in monkeys, much earlier than in humans in whom it occurs in adolescence. Additionally, the decrease of gray matter volume in higher-order association regions (the frontal, parietal and temporal lobes) occurred later than in regions for primary functions (the occipital lobe and cerebellum). White matter volume displayed an increasing trend in most brain regions, but not in the occipital lobe, which had a stable volume. In addition, based on diffusion tensor imaging, we found an increase in fractional anisotropy and a decrease in diffusivity, which may be associated with myelination and axonal changes in white matter tracts. Meanwhile, we tested the influence of 14-day PCP treatment on the developmental trajectories. Such treatment tended to accelerated brain maturation during late infancy, although not statistically significant. These findings provide comparative information for the understanding of primate brain maturation and neurodevelopmental disorders

Robust brain parcellation using sparse representation on resting-state fMRI.

Resting-state fMRI (rs-fMRI) has been widely used to segregate the brain into individual modules based on the presence of distinct connectivity patterns. Many parcellation methods have been proposed for brain parcellation using rs-fMRI, but their results have been somewhat inconsistent, potentially due to various types of noise. In this study, we provide a robust parcellation method for rs-fMRI-based brain parcellation, which constructs a sparse similarity graph based on the sparse representation coefficients of each seed voxel and then uses spectral clustering to identify distinct modules. Both the local time-varying BOLD signals and whole-brain connectivity patterns may be used as features and yield similar parcellation results. The robustness of our method was tested on both simulated and real rs-fMRI datasets. In particular, on simulated rs-fMRI data, sparse representation achieved good performance across different noise levels, including high accuracy of parcellation and high robustness to noise. On real rs-fMRI data, stable parcellation of the medial frontal cortex (MFC) and parietal operculum (OP) were achieved on three different datasets, with high reproducibility within each dataset and high consistency across these results. Besides, the parcellation of MFC was little influenced by the degrees of spatial smoothing. Furthermore, the consistent parcellation of OP was also well corresponding to cytoarchitectonic subdivisions and known somatotopic organizations. Our results demonstrate a new promising approach to robust brain parcellation using resting-state fMRI by sparse representation

Decomposing cortical activity through neuronal tracing connectome-eigenmodes in marmosets

Abstract Deciphering the complex relationship between neuroanatomical connections and functional activity in primate brains remains a daunting task, especially regarding the influence of monosynaptic connectivity on cortical activity. Here, we investigate the anatomical-functional relationship and decompose the neuronal-tracing connectome of marmoset brains into a series of eigenmodes using graph signal processing. These cellular connectome eigenmodes effectively constrain the cortical activity derived from resting-state functional MRI, and uncover a patterned cellular-functional decoupling. This pattern reveals a spatial gradient from coupled dorsal-posterior to decoupled ventral-anterior cortices, and recapitulates micro-structural profiles and macro-scale hierarchical cortical organization. Notably, these marmoset-derived eigenmodes may facilitate the inference of spontaneous cortical activity and functional connectivity of homologous areas in humans, highlighting the potential generalizing of the connectomic constraints across species. Collectively, our findings illuminate how neuronal-tracing connectome eigenmodes constrain cortical activity and improve our understanding of the brain’s anatomical-functional relationship

Altered structural connectome in adolescent socially isolated mice

Social experience is essential for adolescent development and plasticity of social animals. Deprivation of the experience by social isolation impairs white matter microstructures in the prefrontal cortex. However, the effect of social isolation may involve highly distributed brain networks, and therefore cannot be fully explained by a change of a single region. Here, we compared the connectomes of adolescent socially-isolated mice and normal-housed controls via diffusion magnetic resonance imaging. The isolated mice displayed an abnormal connectome, characterized by an increase in degree and reductions in measures such as modularity, small-worldness, and betweenness. The increase in degree was most evident in the dorsolateral orbitofrontal cortex, entorhinal cortex, and perirhinal cortex. In a connection-wise comparison, we revealed that most of the abnormal edges were inter-modular and inter-hemispheric connections of the dorsolateral orbitofrontal cortex. Further tractography-based analyses and histological examinations revealed microstructural changes in the forceps minor and lateral-cortical tracts that were associated with the dorsolateral orbitofrontal cortex. These changes of connectomes were correlated with fear memory deficits and hyper-locomotion activities induced by social isolation. Considering the key role of the orbitofrontal cortex in social behaviors, adolescent social isolation may primarily disrupt the orbitofrontal cortex and its neural pathways thereby contributing to an abnormal structural connectome. (C) 2016 Elsevier Inc. All rights reserved

Altered structural connectome in adolescent socially isolated mice

Social experience is essential for adolescent development and plasticity of social animals. Deprivation of the experience by social isolation impairs white matter microstructures in the prefrontal cortex. However, the effect of social isolation may involve highly distributed brain networks, and therefore cannot be fully explained by a change of a single region. Here, we compared the connectomes of adolescent socially-isolated mice and normal-housed controls via diffusion magnetic resonance imaging. The isolated mice displayed an abnormal connectome, characterized by an increase in degree and reductions in measures such as modularity, small-worldness, and betweenness. The increase in degree was most evident in the dorsolateral orbitofrontal cortex, entorhinal cortex, and perirhinal cortex. In a connection-wise comparison, we revealed that most of the abnormal edges were inter-modular and inter-hemispheric connections of the dorsolateral orbitofrontal cortex. Further tractography-based analyses and histological examinations revealed microstructural changes in the forceps minor and lateral-cortical tracts that were associated with the dorsolateral orbitofrontal cortex. These changes of connectomes were correlated with fear memory deficits and hyper-locomotion activities induced by social isolation. Considering the key role of the orbitofrontal cortex in social behaviors, adolescent social isolation may primarily disrupt the orbitofrontal cortex and its neural pathways thereby contributing to an abnormal structural connectome. (C) 2016 Elsevier Inc. All rights reserved