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Matsumoto, J.

Publications and source records attributed to Matsumoto, J..

At least 19 recordsLinked to original sources

Social behaviours predict vocal turn-taking in common marmosets

Human conversation depends on the continuous integration of vocal exchanges with visual and spatial cues, yet the evolutionary origins of this multimodal coordination remain poorly understood. Although vocal turn-taking has been documented across many animal species, studies have largely examined vocal exchanges in isolation from the accompanying social dynamics. Using acoustic localization and 3D pose tracking in freely interacting marmoset pairs, we simultaneously quantified vocal behaviour and social interactions during natural communication. We found that vocal turn-taking is dependent on distinct multimodal behavioural states defined by head orientation, spatial proximity, and ongoing social interaction. While call features did not reliably predict turn-taking, these behavioural dynamics predicted whether vocal exchanges developed into turn-taking or terminated after isolated calls. Our findings reveal that primate vocal communication is fundamentally organized by multimodal behavioural coordination rather than by vocal signals alone, providing an evolutionary framework for understanding the origins of human conversation.

neuroscience↗

Multidimensional characterization of the physiological and behavioral effects of TCB-2 in mice

Background and PurposeSerotonergic psychedelics affect behavior and physiology, but the relationships among these effects remain poorly understood. In rodents, the head-twitch response is used as a measure of psychedelic-like activity, yet it does not capture changes in physiological state or the performance of learned behaviors. Here, we investigated the acute effects of the 5-HT2A receptor agonist TCB-2 across several behavioral and physiological measures and examined how these effects were modified by pretreatment with the 5-HT2A receptor antagonist volinanserin. Experimental ApproachMice were tested in head-fixed and freely moving conditions. During a learned auditory trace-conditioning task, we measured licking, pupil area, eye position, and blinking. We measured locomotor activity in an open field and quantified head-twitch responses using a DeepLabCut-based method. To examine the contribution of 5-HT2A receptors, mice were pretreated with the 5-HT2A receptor antagonist volinanserin. Key ResultsTCB-2 caused pupil constriction without detectable changes in eye position or blinking when administered alone. TCB-2 also reduced licking at the highest dose, but the cue-locked temporal pattern of licking remained evident. In freely moving mice, TCB-2 reduced locomotor activity and produced a dose-dependent increase in head-twitch responses. Volinanserin partially attenuated TCB-2-induced pupil constriction and reduced head-twitch responses under some conditions, but it did not consistently prevent the other effects of TCB-2. Conclusions and ImplicationsTCB-2 produced distinct effects across physiological and behavioral measures rather than a uniform disruption of behavioral function. Pronounced pupil constriction and head-twitch responses occurred without detectable changes in eye position or blinking, while the temporal organization of conditioned licking was retained despite a reduction in its magnitude. The incomplete and variable effects of volinanserin preclude definitive conclusions about the receptor mechanisms underlying each response. Combining automated head-twitch detection with physiological and task-related measurements provides a broader framework for comparing the pharmacological profiles of serotonergic compounds. What is already knownO_LIClassical psychedelics produce characteristic effects primarily through serotonin 5-HT2A receptor activation. C_LIO_LIHead-twitch responses capture only one dimension of psychedelic-like drug action. C_LI What this study addsO_LITCB-2 reduced locomotion and licking while preserving the cue-locked pattern of conditioned licking. C_LIO_LIPupil constriction occurred without detectable changes in eye position or blinking. C_LI Clinical significanceO_LIMultidimensional phenotyping can distinguish the physiological and behavioral profiles of serotonergic compounds. C_LIO_LIComplementary measures may improve preclinical evaluation of emerging serotonergic therapeutics. C_LI

pharmacology and toxicology↗

Selective approach behavior toward context-dependent ultrasonic vocalizations in male mice

Ultrasonic vocalizations (USVs) are widely used in rodent social communication, yet the functional significance of male-male vocal interactions in mice remains unclear. Here, we investigated whether USVs produced during specific social behaviors influence the behavior of conspecifics. Using playback experiments, we compared responses to vocalizations recorded during chasing and being chased in male-male interactions. We found that USVs emitted by chased intruders consistently elicited approach behavior in receiver mice, whereas those emitted by chasing individuals did not. Acoustic analyses revealed that these vocalizations differed in syllable composition, with intruder calls containing a higher proportion of upward frequency-modulated syllables and exhibiting higher mean frequencies. In addition, the temporal organization of syllables appeared to contribute to the behavioral response. Together, these results suggest that male mice respond selectively to certain USV patterns associated with specific social contexts, indicating that acoustic features and temporal structure may jointly influence social approach behavior in mice. HighlightsO_LIBehavioral context (chased vs. chasing) shapes the composition of USV syllable types C_LIO_LIMale mice selectively approach USVs from chased intruders, but not chasing residents C_LIO_LIThe approach response exhibits high temporal synchrony across individual receivers C_LIO_LITemporal organization of syllables modulates approach behavior based on acoustic features C_LI

animal behavior and cognition↗

Micropatterned neural induction with heat-inactivated extracellular matrix protein by on-demand high-speed laser

Microenvironmental heterogeneity in cultured cells can compromise cell quality, reduce experimental reproducibility, and weaken the confidence of cell therapeutic efficacy. Although micropatterned cell cultures are more homogeneous, conventional micropatterning methods lack flexibility. In this study, we develop a micropatterning technology by denaturing extracellular matrix (ECM) proteins in specific areas through heat inactivation using a high-speed laser via a light-responsive polymer layer. We have successfully seeded human induced pluripotent stem cells (hiPSCs) in flexible patterns and examine their neural induction in circular geometries of varying diameters. Size-dependent and cell-autonomous neural structures are formed on this substrate when hiPSCs differentiate into neural lineages in circles of different diameters. This self-organized pattern results from the mitotic orientation and localization of differentiating cells. Furthermore, teratogenic substances can modulate these patterns. Laser-induced heat inactivation of the ECM on culture substrates enables on-demand patterning, facilitating studies of cell-autonomous tissue formation, the effect of teratogenic substances, and precise tissue engineering in regenerative medicine. Table of ContentA lithography-, hydrogel-, and PDMS-free micropatterning technology is developed to enable flexible and rapid cell patterning directly onto culture substrates via high-speed laser irradiation. Using this technology, size-dependent, cell-autonomous tissue formation from human induced pluripotent stem cells were driven by mitotic orientation and spatial localization of differentiating cells. These self-organized structures can be applied for safety tests of teratogenic substances. ToC figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/663334v2_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@22844aorg.highwire.dtl.DTLVardef@1b3938org.highwire.dtl.DTLVardef@149a748org.highwire.dtl.DTLVardef@85834c_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

Beyond dichotomy: diversity of rat's ultrasonic vocalizations

Rats emit ultrasonic vocalizations (USVs) in diverse contexts, and these USVs are thought to serve many biological functions, such as socio-coordinating and alarming functions. In particular, rat USVs have been established as a good model for studying emotional expressions. Since the discovery of USVs in rats, it has gradually been revealed that two families of juvenile and adult rat USVs with distinct acoustic features are closely linked to different affective states: 50-kHz (high-short) calls are associated with positive affective states, whereas 22-kHz (low-long) calls are associated with negative affective states. Although various subtypes within high-short and low-long calls have been proposed and used, most studies adopt the dichotomous framework of first dividing USVs into high-short or low-long calls. The diversity of rat USVs may have been overlooked due to this high-short / low-long dichotomous framework, as such labeling could discourage reporting of actual measured acoustic properties. Considering that several recent studies claim to have found new USV categories outside this framework, we conducted a systematic survey of descriptions of rat USVs in the literature. We identified 15 articles reporting USVs that are outside the dichotomous framework. Our results support the existence of diverse USVs beyond the dichotomy, highlighting the importance of research on a broader range of vocalizations that might reflect complex affective states beyond the simple distinction between positive and negative.

animal behavior and cognition↗

Generalizability of Normative Models of Brain Morphometry Across Distinct Ethnoracial Groups

Normative modeling of brain morphometric data can inform about the clinical significance of deviations from typical patterns in brain structure. Their usefulness, however, is dependent on their applicability to diverse ethnoracial groups. With this in mind, we developed age- and sex-specific normative models for cortical thickness, surface area, and subcortical volumes using brain scans from 37,407 healthy individuals from a diverse international sample. Here we demonstrate the validity of these models in diverse and distinct populations. Specifically, we tested these pre-trained models on independent samples of healthy individuals that either self-identified as Black, South Asian, East Asian Chinese, East Asian Japanese, or we categorized as African, Admixed American, East Asian, and European based on their genetic ancestry. Regardless of ethnoracial definition, the performance of the pretrained models in these samples was exceptionally high; the relative mean absolute error for each regional brain morphometry measure was less than 10% across all the distinct ethnoracial groups. These findings affirm the broad applicability of our models, ensuring that brain morphometry assessments using these models are accurate and reliable for individuals regardless of background. This broad applicability has significant implications for advancing personalized medicine and improving health outcomes in diverse populations.

bioinformatics↗

A novel critic signal in identified midbrain dopaminergic neurons of mice training inoperant tasks

Classically, midbrain dopaminergic neuron activity is triggered by unexpected rewards, then, upon learning, by reward-predictive conditioned stimuli. When expected rewards are withheld, firing is inhibited. This activity occurs too late to directly affect the neuronal circuitry underlying decision-making, inspiring the development of temporal difference (TD) reinforcement learning models. To test for more timely critical feedback during decision-making and learning, we recorded optogenetically identified dopaminergic, putative GABAergic and other neurons of the ventral tegmental area (VTA) and substantia nigra pars compacta in mice training in visual and olfactory discrimination tasks. The mice often adhered to unrewarded and untrained task strategies (e.g., spatial alternation) rather than making random choices. In order to probe for reward/punishment predictive activity, a delay was imposed between nose-poke choices and signals for reward or punishment. As animals performed below criterion levels, dopaminergic and other neurons firing rates signaled correct versus incorrect choices immediately after choices, but prior to the onset of trial outcome signals. Thus, this activity signaled the rewarded rule even as the mice performed other unrewarded strategies. Putative GABAergic neurons fired during nose-poke choices, potentially reducing network activity prior to reward prediction signals. This reward predictive activity could serve as a critic signal expressed immediately after choices are made, priming the network for canonical DA reward/punishment activity, facilitating network functional modifications. This is consistent with a role for dopamine in arbitration between brain modules to choose among diverse strategies during goal-directed behavior. These findings suggest extensions of theoretical formulations interpreting dopaminergic neuronal activity. Significance statementModels of dopaminergic influence on circuit modifications during learning evoke mechanisms dealing with the delay between neural activity leading up to choices, and when the reinforcing outcome actually occurs. Here, as mice trained in sensory discrimination tasks with a delay between behavioral responses and reinforcement signals, they performed several unrewarded behavioral strategies. Simultaneously, dopaminergic nuclei neurons instead reflected the current task rule, predicting whether the choice was correct or not, providing an immediate "critic" signal prior to canonical trial outcome signals. This provides evidence for brain mechanisms to overcome innate or acquired habits to perform behaviors optimizing positive outcomes.

neuroscience↗

Three-dimensional markerless motion capture of multiple freely behaving monkeys for automated characterization of social behavior

Given their high sociality and close evolutionary distance to humans, monkeys are an essential animal model for unraveling the biological mechanisms underlying human social behavior and elucidating the pathogenesis of diseases exhibiting abnormal social behavior. However, behavioral analysis of naturally behaving monkeys requires manual counting of various behaviors, which has been a bottleneck due to problems in throughput and objectivity. Here, we developed a three-dimensional markerless motion capture system that utilized multi-view data for robust tracking of individual monkeys and accurate reconstruction of the three-dimensional poses of multiple monkeys living in groups. Validation analysis in two monkey groups revealed that the system enabled the characterization of individual social dispositions and relationships through automated detection of various social events. Analyses of social looking facilitated the investigation of adaptive behaviors in a social group. These results suggest that this motion capture system will significantly enhance our ability to analyze primate social behavior.

animal behavior and cognition↗

Ketogenic diet therapy for pediatric epilepsy is associated with alterations in the human gut microbiome that confer seizure resistance in mice

The gut microbiome modulates seizure susceptibility and the anti-seizure effects of the ketogenic diet (KD) in animal models, but whether these relationships translate to KD therapies for human drug-resistant epilepsy is unclear. Herein, we find that the clinical KD shifts the function of the gut microbiome in children with refractory epilepsy. Colonizing mice with KD-associated human gut microbes confers increased resistance to 6-Hz psychomotor seizures, as compared to colonization with gut microbes from matched pre-treatment controls. Parallel analysis of human donor and mouse recipient metagenomic and metabolomic profiles identifies subsets of shared functional features that are seen in response to KD treatment in humans and preserved upon transfer to mice fed a standard diet. These include enriched representation of microbial genes and metabolites related to anaplerosis, fatty acid beta-oxidation, and amino acid metabolism. Mice colonized with KD-associated human gut microbes further exhibit altered hippocampal and frontal cortical transcriptomic profiles relative to colonized pre-treatment controls, including differential expression of genes related to ATP synthesis, glutathione metabolism, oxidative phosphorylation, and translation. Integrative co-occurrence network analysis of the metagenomic, metabolomic, and brain transcriptomic datasets identifies features that are shared between human and mouse networks, and select microbial functional pathways and metabolites that are candidate primary drivers of hippocampal expression signatures related to epilepsy. Together, these findings reveal key microbial functions and biological pathways that are altered by clinical KD therapies for pediatric refractory epilepsy and further linked to microbiome-induced alterations in brain gene expression and seizure protection in mice.

microbiology↗

Unsupervised decomposition and description of nonhuman primate behavior

Nonhuman primates (NHPs) exhibit complex and diverse behavior that typifies advanced cognitive function and social communication, but quantitative and systematical measure of this natural nonverbal processing has been a technical challenge. Specifically, a method is required to automatically segment time series of behavior into elemental motion motifs, much like finding meaningful words in character strings. Here, we propose a solution called SyntacticMotionParser (SMP), a general-purpose unsupervised behavior parsing algorithm using a non-parametric Bayesian model. Using three-dimensional posture-tracking data from NHPs, SMP automatically outputs an optimized sequence of latent motion motifs classified into the most likely number of states. When applied to behavioral datasets from common marmosets and rhesus monkeys, SMP outperformed conventional posture-clustering models and detected a set of behavioral ethograms from publicly available data. SMP also quantified and visualized the behavioral effects of chemogenetic neural manipulations. SMP thus has the potential to dramatically improve our understanding of natural NHP behavior in a variety of contexts.

neuroscience↗

Rhythmic oscillations in the midbrain dopaminergic nuclei in mice

Dopamine release in the forebrain by midbrain ventral tegmental nucleus (VTA) and substantia nigra pars compacta (SNpc) neurons is implicated in reward processing, goal-directed learning, and decision-making. Rhythmic oscillations of neural excitability underlie coordination of network processing, and have been reported in these dopaminergic nuclei at several frequency bands. This paper provides a comparative characterization of several frequencies of oscillations of local field potential and single unit activity, highlighting some behavioral correlates. We recorded from optogenetically identified dopaminergic sites in mice training in operant olfactory and visual discrimination tasks. Rayleigh and Pairwise Phase Consistency (PPC) analyses revealed some VTA/SNc neurons phase-locked to each frequency range, with fast spiking interneurons (FSIs) prevalent at 1-2.5 Hz (slow) and 4 Hz bands, and dopaminergic neurons predominant in the theta band. More FSIs than dopaminergic neurons were phase-locked in the slow and 4 Hz bands during many task events. The highest incidence of phase-locking in neurons was in the slow and 4 Hz bands, and occurred during the delay between the operant choice and trial outcome (reward or punishment) signals. These data provide a basis for further examination of rhythmic coordination of activity of dopaminergic nuclei with other brain structures, and its impact for adaptive behavior.

neuroscience↗

Lipid-correlated alterations in the transcriptome are enriched in several specific pathways in the postmortem prefrontal cortex of Japanese patients with schizophrenia

BackgroundSchizophrenia is a chronic relapsing psychiatric disorder that is characterized by many symptoms and has a high heritability. A previous study showed that specific lipid molecules belong to phosphatidylinositol (PI) and phosphatidylserine (PS) was reduced in the postmortem prefrontal cortex of patients with schizophrenia1. However, signaling pathways contributing to the lipid changes remain unknown. Here we performed two types of transcriptome analyses in patients with schizophrenia: an un-biased transcriptome analysis solely based on RNA-seq data and a correlation analysis between levels of gene expression and lipids. Methodology/Principal FindingsRNA-Seq analysis was performed in the postmortem prefrontal cortex from 10 subjects with schizophrenia and 5 controls. Correlation analysis between the transcriptome and lipidome from 9 subjects which are the same samples in the previous lipidomics study1 (Table 1). Extraction of differentially expressed genes (DEGs) and further sequence and functional group analysis revealed changes of gene expression levels in phosphoinositide 3-kinase (PI3K)-Akt signaling and the complement system. In addition, a correlation analysis clarified alterations in several signaling/metabolic pathways including lipid-correlated genes, most of which are not found as DEGs in transcriptome analysis alone. O_TBL View this table: org.highwire.dtl.DTLVardef@80d74eorg.highwire.dtl.DTLVardef@b780b7org.highwire.dtl.DTLVardef@1637f28org.highwire.dtl.DTLVardef@1315439org.highwire.dtl.DTLVardef@190a230_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 1.C_FLOATNO O_TABLECAPTIONCharacteristics of patients from whom postmortem brain samples were obtained. Abbreviations: PMI, postmortem interval, the time that has elapsed since a person has died; DOI, duration of illness, The samples used in correlation analysis are shown by black circles. C_TABLECAPTION C_TBL ConclusionsThis study provided results of the first integrated analysis of the schizophrenia-associated transcriptome and lipidome within the PFC and revealed that lipid-correlated alterations in the transcriptome are enriched in specific pathways including PI3K-Akt signaling.

pathology↗

Acoustic camera system for measuring ultrasound communication in mice

To investigate molecular, genetic, and neural mechanisms underlying social behaviors and their deficits in neuropsychiatric disorders, social communication via ultrasonic vocalizations (USVs) in mice has received considerable attention as a powerful experimental model. The advances in sound localization technology have facilitated the analysis of vocal interactions between multiple mice. However, existing sound localization systems are built around distributed-microphone arrays, which require a special recording arena and long processing time. Here we report a novel acoustic camera system, USVCAM, which enables simpler and faster USV localization and assignment. The system comprises recently developed USV segmentation algorithms with a modification for overlapping vocalizations that results in high accuracy. Using USVCAM, we analyzed USV communications in a conventional home cage, and demonstrated novel vocal interactions in female ICR mice under a resident-intruder paradigm. The extended applicability and usability of USVCAM may facilitate future studies investigating normal and abnormal vocal communication and social behaviors, as well as the underlying physiological mechanisms.

neuroscience↗

Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets

To interrogate particular neuronal pathways in non-human primates under natural and stress-free conditions, we applied designer receptors exclusively activated by designer drugs (DREADDs) technology to common marmosets. We injected adeno-associated virus vectors expressing the excitatory DREADD hM3Dq into the unilateral substantia nigra in three marmosets. Using multi-tracer positron emission tomography imaging, we detected DREADD expression in vivo, which was confirmed in nigrostriatal dopamine neurons by immunohisto-chemistry, and assessed activation of the substantia nigra and dopamine release following agonist administration. The marmosets rotated in a contralateral direction relative to the activated side 30-90 min after consuming food containing the highly potent DREADD agonist deschloroclozapine (DCZ), but not on the following days without DCZ. These results indicate that non-invasive and reversible DREADD manipulation will extend the utility of marmoset as a primate model for linking neuronal activity and natural behavior in various contexts.

neuroscience↗

Multiple Monkey Pose Estimation Using OpenPose

This paper proposes a system for pose estimation on monkeys, in diverse and challenging scenarios, and under complex social interactions by using OpenPose. In comparison to most animals used for research, Monkeys present additional difficulties for pose estimation. Multiple degrees of freedom, unique complex postures, intricated social interactions, among others. Our monkey OpenPose trained model is robust against these difficulties. It achieves similar performance as in human pose estimation models, and it can run in Realtime.

neuroscience↗

Reward-associated configural cues elicit theta oscillations of rat retrosplenial neurons phase-locked to LFP theta cycle

Previous behavioral studies implicated the retrosplenial cortex (RSC) in stimulus-stimulus associations, and also in retrieval of remote associative memory based on EEG theta oscillations. To investigate the neural mechanisms underlying these processes, RSC neurons and local field potentials (LFPs) were simultaneously recorded from well-trained rats performing a cue-reward association task. In the task, simultaneous presentation of two multimodal conditioned stimuli (configural CSs) predicted a reward outcome opposite to that associated with individual presentation of each elemental CS. Here, we show neurophysiological evidence that the RSC is involved in stimulus-stimulus association where configural CSs are discriminated from each elementary CS that is a constituent of the configural CSs, and that memory retrieval of rewarding CSs is associated with theta oscillation of RSC neurons during CS presentation, which is phase-locked to LFP theta cycles.

neuroscience↗

MacaquePose: A novel 'in the wild' macaque monkey pose dataset for markerless motion capture

Video-based markerless motion capture permits quantification of an animals pose and motion, with a high spatiotemporal resolution in a naturalistic context, and is a powerful tool for analyzing the relationship between the animals behaviors and its brain functions. Macaque monkeys are excellent non-human primate models, especially for studying neuroscience. Due to the lack of a dataset allowing training of a deep neural network for the macaques markerless motion capture in the naturalistic context, it has been challenging to apply this technology for macaques-based studies. In this study, we created MacaquePose, a novel open dataset with manually labeled body part positions for macaques in naturalistic scenes, consisting of >13,000 images, refined by researchers. We show that the pose estimation performance of an artificial neural network trained with the dataset is close to that of a human-level. The MacaquePose will provide a platform for innovative behavior analysis for non-human primate.

neuroscience↗

Investigation of betaine as a novel psychotherapeutic for schizophrenia

Betaine is known to act against various biological stresses and its levels were reported to be decreased in schizophrenia patients. Using Chdh (a gene for betaine synthesis)-deficient mice and betaine-supplemented inbred mice, we assessed the role of betaine in psychiatric pathophysiology, and its potential as a novel psychotherapeutic, by leveraging metabolomics, behavioral-, transcriptomics and DNA methylation analyses. The Chdh-deficient mice revealed remnants of psychiatric behaviors along with schizophrenia-related molecular perturbations. Betaine supplementation elicited genetic background-dependent improvement in cognitive performance, and suppressed methamphetamine (MAP)-induced behavioral sensitization. Furthermore, betaine rectified the altered antioxidative and proinflammatory responses induced by MAP and in vitro phencyclidine treatments. Notably, betaine levels were decreased in the postmortem brains from schizophrenia, and a coexisting elevated carbonyl stress, a form of oxidative stress, demarcated a subset of schizophrenia with \"betaine deficit-oxidative stress pathology\". We revealed the decrease of betaine levels in glyoxylase 1 (GLO1)-deficient hiPSCs, which shows elevated carbonyl stress, and the efficacy of betaine in alleviating it, thus supporting a causal link between betaine and oxidative stress conditions. Furthermore, a CHDH variant, rs35518479, was identified as a cis-expression quantitative trait locus (QTL) for CHDH expression in postmortem brains from schizophrenia, allowing genotype-based stratification of schizophrenia patients for betaine efficacy. In conclusion, the present study underscores the potential benefit of betaine in a subset of schizophrenia.

neuroscience↗