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Abstract Voluntary actions require motives. It is already known that the medial prefrontal cortex (MPFC) assess the motivational values. However, it remains unclear how the motivational process gains access to the motor execution system in the brain. Here we present evidence that the ventral striatum (VS) plays a hub-like role in mediating motivational and motor processing in operant behavior. We used positron emission tomography (PET) to detect the neural activation areas associated with motivational action. Using obtained regions, partial correlation analysis was performed to examine how the motivational signals propagate to the motor system. The results revealed that VS activity propagated to both MPFC and primary motor cortex through the thalamus. Moreover, muscimol injection into the VS suppressed the motivational behavior, supporting the idea of representations of motivational signals in VS that trigger motivational behavior. These results suggest that the VS-thalamic pathway plays a pivotal role for both motivational processing through interactions with the MPFC and for motor processing through interactions with the motor BG circuits. Highlights • We established a procedure for measuring cerebral metabolic changes in rats at the whole brain during forelimb movement. • Striatal activities propagate to the medial prefrontal cortex and motor systems in parallel through the thalamus during operant action. • Reward-related and motor-related circuits have interacted each other through the ventral striatum-thalamic pathway. [ABSTRACT FROM AUTHOR]

• Identified joint gradients characterizing homologous large-scale networks in marmosets and humans. • Findings suggest that the marmoset's dorsolateral prefrontal cortex forms a weakly connected component of its default-mode network, as compared to humans. • Findings suggest that marmoset's medial prefrontal and temporal lobe cortical areas corresponds to other higher-order distributed networks, and not the default-mode network. The default-mode network (DMN) is a distributed functional brain system integral for social and higher-order cognition in humans with implications in a myriad of neuropsychological disorders. In this study, we compared the functional architecture of the DMN between humans and marmosets to assess their similarities and differences using joint gradients. This approach permits simultaneous large-scale mapping of functional systems across the cortex of humans and marmosets, revealing evidence of putative homologies between them. In doing so, we find that the DMN architecture of the marmoset exhibits differences along its anterolateral-posterior axis. Specifically, the anterolateral node of the DMN (dorsolateral prefrontal cortex) displayed weak connections and inconsistent connection topographies as compared to its posterior DMN-nodes (posterior cingulate and posterior parietal cortices). We also present evidence that the marmoset medial prefrontal cortex and temporal lobe areas correspond to other macroscopical distributed functional systems that are not part of the DMN. Given the importance of the marmoset as a pre-clinical primate model for higher-order cognitive functioning and the DMN's relevance to cognition, our results suggest that the marmoset may lack the capacity to integrate neural information to subserve cortical dynamics that are necessary for supporting diverse cognitive demands. [ABSTRACT FROM AUTHOR]

Resting-state functional MRI (RS-fMRI) is widely used to assess how strongly different brain areas are connected. However, this connection obtained by RS-fMRI, which is called functional connectivity (FC), simply refers to the correlation of blood oxygen level-dependent (BOLD) signals across time it has yet to be quantified how accurately FC reflects cellular connectivity (CC). In this study, we elucidated this relationship using RS-fMRI and quantitative tracer data in marmosets. In addition, we also elucidated the effects of distance between two brain regions on the relationship between FC and CC across seed region. To calculate FC, we used full correlation approach that is considered to reflect not only direct (monosynaptic connections) but also indirect pathways (polysynaptic connections). Our main findings are that: (1) overall FC obtained by RS-fMRI was highly correlated with tracer-based CC, but correlation coefficients varied remarkably across seed regions; (2) the strength of FC decreased with increase in the distance between two regions; (3) correlation coefficients between FC and CC after regressing out the effects of the distance between two regions still varied across seed regions, but some regions have strong correlations. These findings suggest that although FC reflects the strength of monosynaptic pathways, it is strongly affected by the distance between regions. • We elucidated the relationship between FC and tracer-based CC. • FC reflects CC, but correlation coefficients varied across seed regions. • FC is affected by the distance between brain regions. • FC reflects the strength of monosynaptic connection. [ABSTRACT FROM AUTHOR]

Abstract Marmosets are small New World primates that are posited to become an important preclinical animal model for studying intractable human brain diseases. A critical step in the development of marmosets as a viable model for human brain dysfunction is to characterize brain networks that are homologous with human network topologies. In this regard, the use of functional magnetic resonance imaging (fMRI) holds tremendous potential for functional brain mapping in marmosets. Although possible, implementation of hardware for fMRI in awake marmosets (free of the confounding effects of anesthesia) is not trivial due to the technical challenges associated with developing specialized imaging hardware. Here, we describe the design and implementation of a marmoset holder and head-fixation system with an integrated receive coil for awake marmoset fMRI. This design minimized head motion, with less than 100 μm of translation and 0.5 degrees of rotation over 15 consecutive resting state fMRI runs (at 15 min each) across 3 different marmosets. The fMRI data was of sufficient quality to reliably extract 8 resting state networks from each animal with only 60–90 min of resting state fMRI acquisition per animal. The restraint system proved to be an efficient and practical solution for securing an awake marmoset and positioning a receive array within minutes, limiting stress to the animal. This design is also amenable for multimodal imaging, allowing for electrode or lens placement above the skull via the open chamber design. All computer-aided-design (CAD) files and engineering drawings are provided as an open resource, with the majority of the parts designed to be 3D printed. Highlights • The marmoset is a powerful preclinical model for studying human brain diseases. • fMRI holds tremendous potential for functional brain mapping in marmosets. • Awake marmoset fMRI (task-based) is not trivial with little available MRI hardware. • Here, we provide openly available designs allowing for fully awake marmoset fMRI. [ABSTRACT FROM AUTHOR]

The common marmoset (Callithrix jacchus) is quickly gaining traction as a premier neuroscientific model. However, considerable progress is still needed in understanding the functional and structural organization of the marmoset brain to rival that documented in longstanding preclinical model species, like mice, rats, and Old World primates. To accelerate such progress, we present the Marmoset Functional Brain Connectivity Resource (marmosetbrainconnectome.org), currently consisting of over 70 h of resting-state fMRI (RS-fMRI) data acquired at 500 µm isotropic resolution from 31 fully awake marmosets in a common stereotactic space. Three-dimensional functional connectivity (FC) maps for every cortical and subcortical gray matter voxel are stored online. Users can instantaneously view, manipulate, and download any whole-brain functional connectivity (FC) topology (at the subject- or group-level) along with the raw datasets and preprocessing code. Importantly, researchers can use this resource to test hypotheses about FC directly – with no additional analyses required – yielding whole-brain correlations for any gray matter voxel on demand. We demonstrate the resource's utility for presurgical planning and comparison with tracer-based neuronal connectivity as proof of concept. Complementing existing structural connectivity resources for the marmoset brain, the Marmoset Functional Brain Connectivity Resource affords users the distinct advantage of exploring the connectivity of any voxel in the marmoset brain, not limited to injection sites nor constrained by regional atlases. With the entire raw database (RS-fMRI and structural images) and preprocessing code openly available for download and use, we expect this resource to be broadly valuable to test novel hypotheses about the functional organization of the marmoset brain. [ABSTRACT FROM AUTHOR]

Abstract: We study the three-dimensional (3D) compact U(1) lattice gauge theory coupled with N-flavor Higgs fields by means of the Monte Carlo simulations. This model is relevant to multi-component superconductors, antiferromagnetic spin systems in easy plane, inflational cosmology, etc. It is known that there is no phase transition in the N =1 model. For N =2, we found that the system has a second-order phase transition line in the (gauge coupling)– (Higgs coupling) plane, which separates the confinement phase and the Higgs phase. Numerical results suggest that the phase transition belongs to the universality class of the 3D XY model as the previous works by Babaev et al. and Smiseth et al. suggested. For N =3, we found that there exists a critical line similar to that in the N =2 model, but the critical line is separated into two parts; one for with first-order transitions, and the other for with second-order transitions, indicating the existence of a tricritical point. We verified that similar phase diagram appears for the N =4 and N =5 systems. We also studied the case of anistropic Higgs coupling in the N =3 model and found that there appear two second-order phase transitions or a single second-order transition and a crossover depending on the values of the anisotropic Higgs couplings. This result indicates that an “enhancement” of phase transition occurs when multiple phase transitions coincide at a certain point in the parameter space. [Copyright &y& Elsevier]

Abstract: The plasticity of the immune system is evident in the reorganization of secondary lymphoid organs during immune responses, lymphoid tissue neogenesis occurring during chronic inflammation or graft rejection, and the engineered lymphoid tissue formation induced by ectopic expression of single lymphoid tissue-associated genes. Approaches seeking to harness this plasticity for immunotherapy are under investigation, particularly by controlling immune cell recruitment and lymphoid tissue formation at tumor sites. By combining strategies from ectopic tissue induction models with methods from tissue engineering, new approaches for studying lymphoid tissue development and immunotherapy may be possible. [Copyright &y& Elsevier]

An object that is looming toward a subject or receding away contains important information for determining if this object is dangerous, beneficial or harmless. This information (motion, direction, identity, time-to-collision, size, velocity) is analyzed by the brain in order to execute the appropriate behavioral responses depending on the context: fleeing, freezing, grasping, eating, exploring. In the current study, we performed ultra-high-field functional MRI (fMRI) at 9.4T in awake marmosets to explore the patterns of brain activation elicited by visual stimuli looming toward or receding away from the monkey. We found that looming and receding visual stimuli activated a large cortical network in frontal, parietal, temporal and occipital cortex in areas involved in the analysis of motion, shape, identity and features of the objects. Looming stimuli strongly activated a network composed of portions of the pulvinar, superior colliculus, putamen, parietal, prefrontal and temporal cortical areas. These activations suggest the existence of a network that processes visual stimuli looming toward peripersonal space to predict the consequence of these stimuli. Together with previous studies in macaque monkeys, these findings indicate that this network is preserved across Old and New World primates. • We identified a functional network for looming and receding stimuli in marmosets. • Large cortical activations are elicited by looming and receding visual conditions. • The looming network includes areas processing motion, object and action planning. • The findings suggest a preserved network across Old and New World primates. [ABSTRACT FROM AUTHOR]

Saccadic tasks are often used to index aberrations of cognitive function in patient populations, with several neuropsychiatric and neurologic disorders characterized by saccadic dysfunction. The common marmoset (Callithrix jacchus) has received recent attention as an additional primate model for studying the neural basis of these dysfunctions – marmosets are amenable to a host of genetic manipulation techniques and have a lissencephalic cortex, which is well suited for a variety of recording techniques (e.g., calcium imaging, laminar electrophysiology). Because the marmoset cortex is mostly lissencephalic, however, the locations of frontal saccade-related regions (e.g., frontal eye fields (FEF)) are less readily identified than in Old World macaque monkeys. Further, although high quality histology-based atlases do exist for marmosets, identifying these regions based on histology alone is not always accurate, with the cytoarchitectonic boundaries often inconsonant with functional boundaries. As such, there is a need to map the functional location of these regions directly. Task-based functional magnetic resonance imaging (fMRI) is of utility in this regard, allowing for detection of whole-brain signal changes in response to moving stimuli. Here, we conducted task-based fMRI in marmosets at ultra-high field (9.4 T) during a free-viewing visuo-saccadic task. We also conducted the same task in humans at ultra-high field (7 T) to validate that our simple task was indeed evoking the visuo-saccadic circuitry we expected (as defined by a meta-analysis of fMRI saccade studies). In the marmosets, we found that the task evoked a robust visuo-saccadic topology, with visual cortex (V1, V2, V3, V4) activation extending ventrally to MT, MST, FST and dorsally into V6, 19M, 23V. This topology also included putative cingulate eye field (area 32 and 24d), posterior parietal cortex (with strongest activation in lateral intraparietal area (LIP)), and a frontolateral peak in area 8 aV in marmosets, extending into 45, 46, 8aD, 6DR, 8c, 6 aV, 6DC. Overall, these results support the view that marmosets are a promising preclinical modelling species for studying saccadic dysfunction related to neuropsychiatric or neurodegenerative human brain diseases. • The marmoset is a powerful preclinical model for studying human brain diseases. • FMRI holds tremendous potential for functional brain mapping in marmosets. • Here, marmosets performed a free-viewing saccadic task during fMRI. • Marmosets have a comparable saccadic network to humans. [ABSTRACT FROM AUTHOR]

• Achieved sub-millimeter localization accuracy of subject-wise brain region. • Propose a dedicated non-invasive multi-modal subject-specific registration pipeline. • Construct brain coordinate system in AC-PC and grayordinate spaces. • Establish multi-modal MRI and CT brain and cortical templates, MarmosetRIKEN20. • Quantify intersubject variabilities in marmoset brain. • Significant bias and uncertainty exist in marmoset stereotactic positioning. 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 posterior commissures (AC-PC) and CIFTI grayordinates. We found that the horizontal plane of the stereotactic coordinate was significantly rotated in pitch relative to the AC-PC coordinate system (10 degrees, frontal downwards), and had a significant bias and uncertainty due to positioning procedures. We also found that many common cranial and brain landmarks (e.g., bregma, intraparietal sulcus) vary in location across subjects and are substantial relative to average marmoset cortical area dimensions. Combining the neuroimaging-based targeting pipeline with robot-guided surgery enabled proof-of-concept targeting of deep brain structures with an accuracy of 0.2 mm. Altogether, our findings demonstrate substantial intersubject variability in marmoset brain and cranial landmarks, implying that subject-specific neuroimaging-based localization is needed for precision targeting in marmosets. The population-based templates and atlases in grayordinates, created for the first time in marmoset monkeys, should help bridging between macroscale and microscale analyses. [ABSTRACT FROM AUTHOR]

Macaque monkeys are an important animal model where invasive investigations can lead to a better understanding of the cortical organization of primates including humans. However, the tools and methods for noninvasive image acquisition (e.g. MRI RF coils and pulse sequence protocols) and image data preprocessing have lagged behind those developed for humans. To resolve the structural and functional characteristics of the smaller macaque brain, high spatial, temporal, and angular resolutions combined with high signal-to-noise ratio are required to ensure good image quality. To address these challenges, we developed a macaque 24-channel receive coil for 3-T MRI with parallel imaging capabilities. This coil enables adaptation of the Human Connectome Project (HCP) image acquisition protocols to the in-vivo macaque brain. In addition, we adapted HCP preprocessing methods to the macaque brain, including spatial minimal preprocessing of structural, functional MRI (fMRI), and diffusion MRI (dMRI). The coil provides the necessary high signal-to-noise ratio and high efficiency in data acquisition, allowing four- and five-fold accelerations for dMRI and fMRI. Automated FreeSurfer segmentation of cortex, reconstruction of cortical surface, removal of artefacts and nuisance signals in fMRI, and distortion correction of dMRI all performed well, and the overall quality of basic neurobiological measures was comparable with those for the HCP. Analyses of functional connectivity in fMRI revealed high sensitivity as compared with those from publicly shared datasets. Tractography-based connectivity estimates correlated with tracer connectivity similarly to that achieved using ex-vivo dMRI. The resulting HCP-style in vivo macaque MRI data show considerable promise for analyzing cortical architecture and functional and structural connectivity using advanced methods that have previously only been available in studies of the human brain. • 24-channel 3T MR receive coil designed for the macaque brain and head size. • In vivo macaque imaging protocols adapted according to guidelines from the HCP. • Parallel imaging yields five- and four-fold acceleration in fMRI and dMRI sampling. • HCP's minimal preprocessing and denoising pipelines adapted for macaques. • The multi-modal MRI data show considerable promise for HCP-style analyses. [ABSTRACT FROM AUTHOR]