Effects of constant daylight exposure during early development on marmoset psychosocial behavior

Senoo, Aya; Okuya, Teruhisa; Sugiura, Yasushi; Mimura, Koki; Honda, Yoshiaki; Tanaka, Ikuko; Kodama, Tohru; Tokuno, Hironobu; Yui, Kunio; Nakamura, Shun; Usui, Setsuo; Koshiba, Mamiko

doi:10.1016/j.pnpbp.2011.01.008

Cited by 20 publications

(52 citation statements)

References 24 publications

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“…Our multivariate analysis could subjectively and quantitatively extract behavior pattern shift according to a series of social context and be applicable to marmosets [18,19] and ASD children [34] by modification of the social context. Starting from obtained behavior correlation structure, we could propose a working hypothesis concerning neuronal network model, compatible with neurobiological data, thus predicting the development and severity of the mental state of research subjects.…”

Section: Discussionmentioning

confidence: 99%

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Multivariate PCA Analysis Combined with Ward’s Clustering for Verification of Psychological Characterization in Visually and Acoustically Social Contexts

Mimura¹,

Shirakawa²,

Nakamura³

et al. 2013

J Clin Toxicol

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The development of the nervous system is a process of gene-environment interaction through prenatal and neonatal stages. The chemical environment may cause mal-development of the social brain network leading to developmental disorders. Thus, we need to develop a new behavioral method which distinguishes the subtle difference in early stage development of sensory-motor, socio-emotional, and cognitive processing in humans and animal models. Here, we have developed an innovative tool for signal processing to structuralize the behavioral elements from a large body of complex information via the multivariate analysis (principal components analysis combined with Ward's clustering) using an animal model (domestic chicks) and found dynamical differences of combined behavioral parameters over social contexts between socially affiliated chicks and isolated chicks. We prepared two groups each containing six subjects, each group had its peer-social environments regulated, either isolated or grouped, and then their social interaction was tested through a series of social contexts consisting of four serial contexts, 1) firstly isolation, 2) acoustical interaction, 3) acoustical and visual meeting with the reference peers, and lastly 4) isolation again. Results show the juveniles' social cognition and emotion was visualized as specific clustering structures with active and affective behavioral factors that were seen only in context three with unfamiliar peers visually and acoustically but were not seen in isolation or the social auditory without visual context. These results suggest the usefulness of the combined multivariate analysis under sensory cued-restricted contexts to quantitatively reveal a subtle difference of socio-emotional behavior.

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Section: Discussionmentioning

confidence: 99%

“…A multivariate correlation method, Principal Components Analysis (PCA) was successfully applied to our marmoset studies [18,19] and also contributed to visually identify the chicks' acquired social memory [17]. At this next stage we have established the social affiliation learning model together with the socially deprived model.…”

Section: Introductionmentioning

confidence: 99%

Multivariate PCA Analysis Combined with Ward’s Clustering for Verification of Psychological Characterization in Visually and Acoustically Social Contexts

Mimura¹,

Shirakawa²,

Nakamura³

et al. 2013

J Clin Toxicol

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“…In order to integrate 11 behavioral parameters, we used PCA analysis based on a correlation matrix. The details of PCA analysis and the assignment of behavior to emotional state (BOUQUET method) were described in [30][31][32]. The statistical difference tests between groups of the score plots were performed by Wilks' lambda.…”

Section: Statisticsmentioning

confidence: 99%

“…The behavior parameters ( Figure 1b) were extracted from video data and the representative parameters were compared between Iso and Grp chicks by BOUQUET [30,31] multivariate correlation analysis based on PCA and visualizing each PCA score-distribution (Figure 2). Grp and Iso behavior data plots were segregated as positive and negative regions along the component 1 st (Figure 2a).…”

Section: Social Behavior Features By Bouquet Analysismentioning

confidence: 99%

“…The correlation mapping is widely used to reveal the inherent complexity of brain as a whole rather than just its individual parts, for example, a functional correlation of the volumetric change in longitudinal MRI study [25,26], task-related cingulated cortex sub-regions by an fMRI study [27], tractography and a resting state functional connectivity combined with graphtheory [28,29]. The social brain map described in this study is based on a multivariate analysis using correlation matrix [30,31] with eleven behavior parameters expressed at social meeting test with unfamiliar subjects and a particular monoamine with a total ten monoamines and their metabolites measured with each sub-region with a total thirteen brain regions from two experimental groups, a socially isolated group and an affiliated group. The statistical significance of the correlation was mapped in sub-regions, which revealed the region-specific modulation of monoamines.…”

Section: Introductionmentioning

confidence: 99%

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Peer-Social Network Development Revealed by the Brain Multivariate Correlation Map with 10 Monoamines and 11 Behaviors

Shirakawa¹,

Nakamura²,

Koshiba

2013

J Clin Toxicol

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Psychiatric disorders induced by social stress have suggested that monoamines play key roles in a whole brain network. To research an environmentally dependent neural network development of social psychology, we report our model animal study of peer-social behavior learning by screening the relevant monoamines in various brain regions in the light of social brain network. We have originally developed psycho-biological quantification batteries based on multivariate analysis over species, including the current subjects, domestic chicks (Gallus gallus). The chicks' peer-social environment was regulated as grouped and isolated from just after hatching. After two weeks, their acquired behavioral features were examined in a social meeting with unfamiliar peers and then, quantified 10 kinds of monoamines in their 13 brain regions at their steady state under off lighted conditions in day-time. The whole brain concentration map visualized regional difference of 10 monoamines. Furthermore, we attempted to map behavioral feature correlation with each monoamine in the whole 13 brain regions. These results showed that isolated chicks expressed (1) significantly higher Dopamine (DA) of left caudal forebrain, (2) moderately higher Norepinephrine (NE) of thalamus-midbrain correlating with immobile and alert behavior. While 3-methoxy-4-hydroxyphenylglycol (MHPG) as well as Normetanephrine (NM) correlated with alert-immobile behavioral feature, Homovanillic Acid (HVA) seemed to weekly correlate with active-affinity behavior. In addition, there existed lateral asymmetry of the correlation generally as left-alert and right-affinity in the lateral part of the brain. These correlations between social behavior and monoamines would possibly contribute to comprehend the developmental mechanism of social brain networks. These findings open a new way in constituting a functional map by multivariate analysis of social behavior and monoamines and their metabolites.

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Early-infant diagnostic predictors of the neuro-behavioral development after neonatal care

Koshiba

Kakei

Honda

et al. 2015

Behavioural Brain Research

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Multidimensional diagnosis plays a central role in infant developmental care, which leads to the prediction of future disabilities. Information consolidated from objective and subjective, early and late, central and peripheral data may reveal neuro-pathological mechanisms and realize earlier and more precise preventive intervention. In the current study, we retrospectively searched correlating factors to the following neurological and behavioral development of 'Head Control' and 'Roll Over' using multivariate correlation analysis of differ-ent diagnostic domains over age, subject/object information of the patients who were previously admitted in our neonatal intensive care unit (NICU) and could be developmentally followed up in our outpatient clinic. Based on the hematologic and biochemical data, MRI brain anatomy during NICU hospitalization, we characterized all the acquired data distribution from 31 infants with either 'appeared neurologically normal (ANN, n = 21)’ or 'appeared neurologically abnormal (ANA, n = 10)’ pro tempore, with a physician's clinical judgment before discharge. Besides single factor comparisons between ANN and ANA, we examined their development difference by using the multidimensional information processing, principal component analysis (PCA). The diagnostic predictors of neuro-behavioral development were selected by regression analysis with variable selection. It resulted that hematological and brain anatomical factors seemed correlated to both ‘Head Control’ and ‘Roll Over’. This report suggested certain possibility of the cross-domain translational approach between subjective and objective developmental information through multivariate analyses, with candidate markers preliminarily to be evaluated in further studies.

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Effects of constant daylight exposure during early development on marmoset psychosocial behavior

Cited by 20 publications

References 24 publications

Multivariate PCA Analysis Combined with Ward’s Clustering for Verification of Psychological Characterization in Visually and Acoustically Social Contexts

Multivariate PCA Analysis Combined with Ward’s Clustering for Verification of Psychological Characterization in Visually and Acoustically Social Contexts

Peer-Social Network Development Revealed by the Brain Multivariate Correlation Map with 10 Monoamines and 11 Behaviors

Early-infant diagnostic predictors of the neuro-behavioral development after neonatal care

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