Abnormal asymmetries in subcortical brain volume in early adolescents with subclinical psychotic experiences

Okada, Naohiro; Yahata, Noriaki; Koshiyama, Daisuke; Morita, Kentaro; Sawada, Kingo; Kanata, Sho; Fujikawa, Shinya; Sugimoto, Noriko; Toriyama, Rie; Masaoka, Mio; Koike, Shinsuke; Araki, Tsuyoshi; Kano, Yukiko; Endo, Kaori; Yamasaki, Syudo; Ando, Shuntaro; Nishida, Atsushi; Hiraiwa-Hasegawa, Mariko; Kasai, Kiyoto

doi:10.1038/s41398-018-0312-6

Download PDF

Article
Open access
Published: 28 November 2018

Abnormal asymmetries in subcortical brain volume in early adolescents with subclinical psychotic experiences

Naohiro Okada^1,2,
Noriaki Yahata^1,3,
Daisuke Koshiyama¹,
Kentaro Morita¹,
Kingo Sawada¹,
Sho Kanata^1,4,
Shinya Fujikawa¹,
Noriko Sugimoto¹,
Rie Toriyama¹,
Mio Masaoka¹,
Shinsuke Koike ORCID: orcid.org/0000-0002-3375-236X^1,2,5,
Tsuyoshi Araki¹,
Yukiko Kano⁶,
Kaori Endo ORCID: orcid.org/0000-0003-0854-5120⁷,
Syudo Yamasaki⁷,
Shuntaro Ando^1,7,
Atsushi Nishida⁷,
Mariko Hiraiwa-Hasegawa⁸ &
…
Kiyoto Kasai^1,2

Translational Psychiatry volume 8, Article number: 254 (2018) Cite this article

2175 Accesses
26 Citations
2 Altmetric
Metrics details

Subjects

Abstract

Subcortical structures may have an important role in the pathophysiology of psychosis. Our recent mega-analysis of structural magnetic resonance imaging (MRI) data has reported subcortical volumetric and lateralization alterations in chronic schizophrenia, including leftward asymmetric increases in pallidal volume. The question remains, however, whether these characteristics may represent vulnerability to the development of psychosis or whether they are epiphenomena caused by exposure to medication or illness chronicity. Subclinical psychotic experiences (SPEs) occur in some adolescents in the general population and increase the odds of developing psychosis in young adulthood. Investigations into the association between SPEs and MRI-measured volumes of subcortical structures in the general adolescent population would clarify the issue. Here, we collected structural MRI data in a subsample (10.5–13.3 years old) of a large-scale population-based cohort and explored subcortical volume and lateralization alterations related to SPEs (N = 203). Adolescents with SPEs demonstrated significant volumetric increases in the left hippocampus, right caudate, and right lateral ventricle, as well as a marginally significant increase in the left pallidum. Furthermore, adolescents with SPEs showed significantly more leftward laterality of pallidal volume than individuals without SPEs, which replicates our mega-analysis findings in chronic schizophrenia. We suggest that leftward asymmetries in pallidal volume already present in early adolescence may underlie the premorbid predisposition for developing psychosis in later life.

Longitudinal hippocampal subfield development associated with psychotic experiences in young people

Article Open access 20 January 2024

Developmentally divergent sexual dimorphism in the cortico-striatal–thalamic–cortical psychosis risk pathway

Article 06 May 2019

Mapping gray and white matter volume abnormalities in early-onset psychosis: an ENIGMA multicenter voxel-based morphometry study

Article Open access 10 January 2024

Introduction

Subcortical structures, including the basal ganglia as well as parts of the limbic system, are not only important players in learning¹, emotion², motor control³, and attention⁴ but also integrally involved in higher-order executive functions such as working memory⁵ and inhibitory control⁶. These psychological functions are often impaired in patients with schizophrenia or psychosis, and therefore it is beneficial to focus on characteristics of subcortical regions in these patients. We recently reported subcortical volumetric and lateralization alterations in schizophrenia, including leftward asymmetric increases in pallidal volume, through a large-scale mega-analysis of structural magnetic resonance imaging (MRI) data in a study from the Cognitive Genetics Collaborative Research Organization (COCORO) consortium⁷. In a secondary analysis study, we showed that daily antipsychotics dosage, but not the duration of illness or type of antipsychotic medication, may at least partially explain both the left pallidal volume increase and leftward pallidal volumetric laterality in schizophrenia⁸. The question remains, however, whether these characteristics may represent vulnerability to the development of psychosis or whether they are epiphenomena caused by exposure to medication or illness chronicity.

Subclinical psychotic (delusional and hallucinatory) experiences (SPEs), often called psychotic-like experiences, occur in individuals in the general population as a nonpathological subthreshold phenotype⁹, which suggests an underlying continuum of psychosis from subclinical to clinical levels¹⁰. According to longitudinal birth cohort studies, SPEs in early adolescence are a risk factor for the later onset of schizophrenia or schizophreniform disorder^11,12. While a previous meta-analysis revealed a 5% prevalence rate of SPEs in the general population¹³, the rate of SPEs may be much higher among early adolescents¹⁴.

The underlying bases of SPEs have recently been examined. Twin studies reveal larger concordance of SPEs between monozygotic twins than between dizygotic twins, suggesting the heritability of SPEs¹⁵. A family cohort study reveals a positive relationship between mothers’ psychosis-spectrum disorders and children’s SPEs¹⁶. It is thus assumed that genetic factors may have an influence on SPEs. However, the genetic factors influencing SPEs are not yet specified^17,18. Neural substrates of SPEs have recently been explored in some neuroimaging studies using structural MRI^19,20,21, diffusion-tensor imaging (DTI)^20,22,23, task-related functional MRI (fMRI)^20,24,25, and resting-state fMRI (rsfMRI)²⁶. We hypothesized that the results of the previous findings on volumetric alterations in schizophrenia^7,27 would be replicated in adolescents with SPEs for each subcortical region. To our knowledge, however, no previous study has focused on the volume of subcortical structures in a large-scale sample from the general population.

The brain dynamically develops throughout childhood to adolescence. During adolescence, extensive synaptic pruning and myelination occur in the brain²⁸. These processes are associated with cortical thinning²⁹ and white matter volume increases³⁰, that can be observed using MRI techniques. Such brain maturation in adolescence can be affected by sex hormone changes and secondary sexual characteristics during puberty³¹. Recent studies reported that subcortical structures can be volumetrically affected by pubertal development^32,33,34. Thus, specifically when examining the association between subcortical volumes and SPEs in adolescence, it would be ideal to regress out the effects of the pubertal stage or to limit the scope of analysis to prepubertal adolescents.

Here, given this context, we collected structural MRI data in a subsample (10.5–13.3 years old) of a large-scale population-based cohort. First, we investigated subcortical volumetric and lateralization alterations in adolescents with SPEs. Second, we examined them in detail, with special attention paid to the globus pallidus, which was shown to be important in our previous study of chronic schizophrenia. Potential confounding factors, including pubertal stage, were considered. The advantage of our study design is that a number of participants were recruited from an ongoing population-based cohort study involving 3171 early adolescents (Tokyo TEEN Cohort: TTC, http://ttcp.umin.jp/). This sort of study has recently been called “population neuroscience”³⁵ and can minimize selection biases that are sometimes seen in laboratory-based neuroimaging studies. We expected the current study to overcome the limitations of our previous studies and to elucidate the detailed mechanisms of subcortical volumetric alterations in schizophrenia.

Materials and methods

Participants and ethics

This study was conducted as part of the population neuroscience study of the TTC (pn-TTC) study, in which 301 early adolescents were recruited from the general population. All study participants and their primary parents provided written informed consent, and the appropriate ethics review boards approved the study design. The detailed methods of participant recruitment and ethics are described in Supplementary Method 1.

Scanning and image processing

Each subject underwent T1-weighted MRI. Imaging data were processed with FreeSurfer software version 5.3³⁶. The details of this procedure are provided in Supplementary Method 2.

Psychological and physical evaluation

The 7-item Adolescent Psychotic-like Symptom Screener (APSS)³⁷ was used to screen for SPEs. In addition, Tanner stages³⁸ were used to assess pubertal development, since the effect of pubertal development on subcortical brain volumes should be non-negligible^32,33,34. The details of these scales are presented in Supplementary Method 3.

Subject selection

A total of 203 adolescents were included in this study. The details of the selection procedure are described in Supplementary Method 4. The basic demographic data are described in Table 1. A histogram of APSS scores is shown in Supplementary Figure 1.

Table 1 A cross-table of Tanner stage, subclinical psychotic experiences (SPEs), and sex for the participants included in this study

Full size table

Statistical analysis

Overall statistical strategy

All statistical analyses were conducted using SPSS version 19.0.0 or 24.0.0 (IBM, New York, NY, USA). Since we hypothesized and examined whether the results of the previous studies on schizophrenia^7,27 would be replicated in adolescents with SPEs for each subcortical region, we set the type I error rate (p value) at 0.05.

Basic demographic data are depicted in Table 1. Prior to the main analysis, we investigated sex and age differences between the SPE-negative [SPE(−)] and SPE-positive [SPE(+)] group by using χ² test and t-test, respectively. Additionally, we examined sex and age differences in subcortical regional volumes in all participants by using t-test and Spearman’s rank test, respectively. Furthermore, we examined associations between subcortical regional volumes and Tanner stages by using Spearman’s rank test.

Subcortical volume analysis

Alterations of subcortical regional volumes in adolescents with SPEs

First, the means and standard deviations of subcortical regional volumes were calculated in the SPE(−) and SPE(+) groups. Second, we explored group differences in subcortical regional volumes. First, we investigated group differences by using general linear models controlling for the effects of age, sex, and intracranial volume (ICV) (Model 1, main model), which might be potential confounding factors, as employed in the previous studies^7,27. Then, we used general linear models without covariates (Model 2) and models controlling for age (Model 3) and for age and sex (Model 4). Moreover, as developmental levels may affect subcortical regional volumes, we employed general linear models controlling for the effect of age, sex, ICV, and Tanner stage (Model 5). Cohen’s d effect sizes were calculated as the ratio of group difference to the pooled standard deviation.

Intra-group subcortical volume laterality in adolescents without and with SPEs

To assess laterality for subcortical volumes, we employed a laterality index (LI), defined as the ratio [(left − right)/(left + right)]; this is commonly used to evaluate brain structural asymmetry. LIs can range from −1 to 1 and a positive LI means a leftward asymmetry.

First, the means and standard deviations of LIs of subcortical regional volumes were calculated in the SPE(−) and SPE(+) groups. Second, one-sample t-tests were conducted to evaluate whether mean LIs were significantly different from zero. For each group, Cohen’s d effect sizes for LIs were calculated as the ratio of the mean (i.e., mean difference to zero) to standard deviation.

Group differences in subcortical volume laterality between adolescents without and with SPEs

We examined the differences in LIs of subcortical regional volumes between the SPE(−) and SPE(+) groups. First, we calculated group differences by using general linear models controlling for the effect of age and sex (Model 1, main model), as employed in our previous study⁷. Then, we used general linear models without covariates (Model 2) and models controlling for age (Model 3) and for age, sex, and Tanner stage (Model 4). Cohen’s d effect sizes were calculated as the ratio of group difference to the pooled standard deviation.

Detailed analysis on the globus pallidus

Alterations of pallidal volume and its laterality in adolescents with SPEs within each sex

As sex may affect pallidal volume and its laterality, we investigated group differences in them for each sex group.

First, we investigated group differences in left and right pallidal volume by using general linear models controlling for the effect of age and ICV (Model 1, main model). Then, we employed general linear models without covariates (Model 2) and models controlling for age (Model 3) and for age, ICV, and Tanner stage (Model 4).

Second, we investigated group differences in LIs of pallidal volume by using general linear models controlling for the effect of age (Model 1, main model). Then, we used general linear models without covariates (Model 2) and models controlling for the effect of age and Tanner stage (Model 3).

Comparisons of pallidal volume and its laterality between the SPE(−) and SPE(+) groups exclusively in adolescents in Tanner stage I

As sexual maturation levels may affect pallidal volume and its laterality, we excluded participants whose Tanner stages were ≥2 in this sub-analysis.

First, we explored group differences in left and right pallidal volume by using general linear models controlling for the effect of age, sex, and ICV (Model 1, main model). Then, we used general linear models without covariates (Model 2) and models controlling for age (Model 3) and for age and sex (Model 4).

Second, we examined group differences in LIs of pallidal volume by using general linear models controlling for the effect of age and sex (Model 1, main model). Then, we used general linear models without covariates (Model 2) and models controlling for the effect of age (Model 3).

We also conducted separate analyses for each sex. We investigated group differences in left and right pallidal volume by using general linear models controlling for the effect of age and ICV (Model 1, main model). Then, we used general linear models without covariates (Model 2) and models controlling for the effect of age (Model 3).

Moreover, we performed separate analyses for each sex to investigate group differences in LIs of pallidal volume by using general linear models controlling for the effect of age in the main analysis (Model 1, main model). Then, we used general linear models without covariates (Model 2).

Hemispheric differences in pallidal volume

We examined hemispheric differences in pallidal volume. First, for all participants, we performed a two-way repeated-measures analysis of covariance (ANCOVA) using group [SPE(−)/SPE(+)] and sex (male/female) as between-subject factors, hemisphere (left/right) as a within-subject factor, and age and ICV as covariates. Second, as sexual maturation levels may have some influences, we conducted the same analysis exclusively for adolescents in Tanner stage 1.

Correlation analysis for the whole group

We examined associations of psychotic-like symptoms with pallidal volume and its laterality.

First, we calculated beta coefficients of APSS total score to left and right pallidal volume by using general linear models controlling for the effect of age, sex, and ICV (Model 1, main model). Then, we used general linear models without covariates (Model 2) and controlling for the effect of age (Model 3), age and sex (Model 4), and age, sex, ICV, and Tanner stage (Model 5).

Second, we calculated beta coefficients of APSS total score to LIs of pallidal volume by using general linear models controlling for the effect of age and sex (Model 1, main model). Then, we used general linear models without covariates (Model 2) and controlling for the effect of age (Model 3), and age, sex, and Tanner stage (Model 4).

Correlation analysis exclusively for adolescents in Tanner stage I

As sexual maturation levels may have some influences, we conducted the same analysis exclusively for adolescents in Tanner stage 1.

First, we calculated beta coefficients of APSS total score to left and right pallidal volume by using general linear models controlling for the effect of age, sex, and ICV (Model 1, main model). Then, we used general linear models without covariates (Model 2) and models controlling for age (Model 3) and for age and sex (Model 4).

Second, we calculated beta coefficients of APSS total score to LIs of pallidal volume by using general linear models controlling for the effect of age and sex (Model 1, main model). Then, we used general linear models without covariates (Model 2) and models controlling for the effect of age (Model 3).

Power analysis

We conducted power analyses to ensure that the current study had statistically sufficient power. A priori power analyses (α = 0.05, 1 − β = 0.80, two-sided tests) using G*Power 3.1.9.2.³⁹ revealed that the medium effect sizes for a two-sample t-test (d = 0.50), those for a correlational analysis (r = 0.30), those for a multiple regression analysis (f² = 0.15), and those for a 2 × 2 χ² test (w = 0.30)⁴⁰ could be detected in a total sample size of 128 (64 for each group), 82, 55, and 88, respectively. The sample sizes in all main analyses in this study were adequate.

Results

Overall sex and age effects

We investigated sex and age differences between the SPE(−) and SPE(+) groups. We found no significant group differences in sex (p = 0.86) or age (p = 0.52) (Supplementary Table 1). Moreover, we examined sex and age differences in subcortical regional volumes in all participants. We found significantly larger regional volumes in boys than in girls for all subcortical regions except the lateral ventricles and bilateral caudate (p = 3.3 × 10⁻¹²–2.8 × 10⁻²), in which we found no sex differences (Supplementary Table 2). Age had significant negative correlations with right putamen (p = 4.5 × 10⁻²) and right accumbens volume (p = 7.3 × 10⁻³), while no age correlations with the other subcortical regions were found (Supplementary Table 3). Furthermore, we examined associations between subcortical regional volumes and Tanner stages. We found significant negative correlations between Tanner stages and left putamen (p = 4.3 × 10⁻²), right putamen (p = 7.4 × 10⁻⁴), and left accumbens volume (p = 1.3 × 10⁻³), while there were no correlations of Tanner stages with the other subcortical volumes (Supplementary Table 4).

Alterations of subcortical regional volumes in adolescents with SPEs

The means and standard deviations of subcortical regional volumes were calculated in the SPE(−) and SPE(+) groups (Supplementary Table 5). We then explored group differences in subcortical regional volumes controlling for the effect of age, sex, and ICV (Model 1, main model); no covariates (Model 2); age (Model 3); age and sex (Model 4); and age, sex, ICV, and Tanner stage (Model 5) (Supplementary Tables 6–10). We found significantly larger volumes of the left hippocampus (p = 0.043–0.044, Models 2 and 4), right caudate (p = 0.022–0.023, Models 2–4), and right lateral ventricle volume (p = 0.026–0.026, Models 2–4) in the SPE(+) group than in the SPE(−) group. For the globus pallidus, the left-side volume was larger in the SPE(+) group than in the SPE(−) group at a marginal significance level (p = 0.078–0.080, Models 2–4), although there was no significant group difference in the right-side volume. The Cohen’s d effect sizes and standard errors for group differences in subcortical regional volumes (Model 1) are depicted in Fig. 1, where the results of the previous study from the Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) Schizophrenia (ENIGMA-SZ) working group²⁷, those of our previous study from COCORO⁷, and those of the current study from the pn-TTC project are merged.

**Fig. 1: Cohen’s d effect sizes ± standard errors for differences in subcortical regional volumes between the group with subclinical psychotic experiences (SPEs) and the group without SPEs.**

Intra-group subcortical volume laterality in adolescents without and with SPEs

The means and standard deviations of LIs of subcortical regional volumes were calculated in the SPE(−) and SPE(+) groups (Supplementary Table 11). Next, we evaluated whether mean LIs were significantly different from zero (Supplementary Table 11). In the SPE(−) group, the LIs of the lateral ventricle (p = 7.6 × 10⁻⁷) and thalamus (p = 6.4 × 10⁻⁵²) were significantly positive and those of hippocampus (p = 8.2 × 10⁻¹³) and amygdala (p = 2.2 × 10⁻⁴⁰) were significantly negative, while those of the caudate, putamen, and accumbens were not significantly different from zero and those of the pallidum were positive with marginal significance (p = 0.08). In the SPE(+) group, the LIs of the lateral ventricle (p = 3.4 × 10⁻³), thalamus (p = 3.5 × 10⁻²¹), pallidum (p = 1.3 × 10⁻³), and accumbens (p = 4.5 × 10⁻²) were significantly positive and those of the hippocampus (p = 2.9 × 10⁻³) and amygdala (p = 1.8 × 10⁻²¹) were significantly negative, while those of the caudate and putamen were not significantly different from zero. The Cohen’s d effect sizes and standard errors for the LIs of subcortical regional volumes in each group are depicted in Fig. 2, where the results of our previous study from COCORO⁷ and those of the current study from the pn-TTC project are merged.

Fig. 2: Within-group Cohen’s d effect sizes ± standard errors for laterality indices (LIs) of subcortical regional volumes in the subclinical psychotic experience (SPE)-negative [SPE(−)] and SPE-positive [SPE(+)] groups.

Group differences in subcortical volume laterality between adolescents without and with SPEs

We examined the differences in the LIs of subcortical regional volumes between the SPE(−) and SPE(+) groups controlling for the effect of age and sex (Model 1, main model); no covariates (Model 2); age (Model 3); and age, sex, and Tanner stage (Model 4) (Supplementary Tables 12–15). We found a significantly larger LI of pallidal volume in the SPE(+) group than in the SPE(−) group (p = 0.035–0.043, Models 1–4). The Cohen’s d effect sizes and standard errors for LIs of subcortical regional volumes in each group (Model 1) are depicted in Fig. 3, where the results of our previous study from COCORO⁷ and those of the current study from the pn-TTC project are merged.

Fig. 3: Cohen’s d effect sizes ± standard errors for differences in laterality indices (LIs) of subcortical regional volumes between the group with subclinical psychotic experiences (SPEs) and the group without SPEs.

Detailed analysis of the globus pallidus

Prior to detailed analyses of the globus pallidus, we here show distribution plots of left and right pallidal volume, as well as LIs of pallidal volume, in the SPE(−) and SPE(+) groups (Fig. 4).

Fig. 4: Distribution plots for left and right pallidal volume and laterality indices (LIs) of pallidal volume in the subclinical psychotic experience (SPE)-negative [SPE(−)] and SPE-positive [SPE(+)] groups.

Alterations of pallidal volume and its laterality in adolescents with SPEs within each sex

We investigated group differences in left and right pallidal volume in each sex controlling for the effect of age and ICV (Model 1, main model); no covariates (Model 2); age (Model 3); and age, ICV, and Tanner stage (Model 4) (Supplementary Table 16). Left pallidal volume was larger to a marginally significant degree in SPE(+) boys than in SPE(−) boys (p = 0.071–0.076, Models 1 and 4). There were no significant differences in pallidal volume between SPE(+) and SPE(−) girls.

We then investigated group differences in LIs of pallidal volume in each sex controlling for the effect of age (Model 1, main model); no covariates (Model 2); and age and Tanner stage (Model 3) (Supplementary Table 17). LIs of pallidal volume were larger to a marginally significant degree in SPE(+) boys than in SPE(−) boys (p = 0.075–0.087, Models 1 and 2). There were no significant differences in pallidal volume between SPE(+) and SPE(−) girls.

Comparisons of pallidal volume and its laterality between the SPE(−) and SPE(+) groups exclusively in adolescents in Tanner stage I

We explored group differences in left and right pallidal volume controlling for the effect of age, sex, and ICV (Model 1, main model); no covariates (Model 2); age (Model 3); and age and sex (Model 4) (Supplementary Table 18). The SPE(+) group showed significantly larger left pallidal volume than the SPE(−) group (p = 0.011–0.035, Models 1–4), while there were no significant group differences in right pallidal volume.

We then examined group differences in LIs of pallidal volume controlling for the effect of age and sex (Model 1, main model); no covariates (Model 2); and age (Model 3) (Supplementary Table 19). The SPE(+) group demonstrated a significantly higher LI of pallidal volume than the SPE(−) group (p = 7.5 × 10⁻⁴–1.3 × 10⁻³, Models 1–3).

We also conducted separate analyses for each sex. We investigated group differences in left and right pallidal volume in each sex controlling for the effect of age and ICV (Model 1, main model); no covariates (Model 2); and age (Model 3) (Supplementary Table 20). In boys, the SPE(+) group showed larger left pallidal volume to a marginally significant degree than the SPE(−) group (p = 0.052–0.078, Models 1 and 3). In girls, the SPE(+) group showed significantly larger left pallidal volume (p = 0.044, Model 2) than the SPE(−) group.

Moreover, we investigated group differences in LIs of pallidal volume controlling for the effects of age (Model 1, main model) and no covariates (Model 2) in each sex group (Supplementary Table 21). In both sex groups, the SPE(+) group demonstrated higher LI of pallidal volume than the SPE(−) group, marginally in boys and significantly in girls (p = 0.058–0.064, Models 1 and 2 in boys; p = 0.013–0.025, Models 1 and 2 in girls).

Hemispheric differences in pallidal volume

For all participants, we performed a two-way repeated measures ANCOVA using the group [SPE(+)/SPE(−)] and sex (male/female) as between-subject factors, hemisphere (left/right) as a within-subject factor, and age and ICV as covariates. We found a marginally significant effect of hemisphere-by-group interaction (p = 0.057), while there was no significant effect of hemisphere (p = 0.56), hemisphere by age (p = 0.46), hemisphere by ICV (p = 0.71), hemisphere by sex (p = 0.85), or hemisphere by sex by group (p = 0.60). We then conducted the same analysis exclusively for adolescents in Tanner stage 1. We found a significant effect of hemisphere-by-group interaction (p = 1.3 × 10⁻³), while there was no significant effect of hemisphere (p = 0.27), hemisphere by age (p = 0.16), hemisphere by ICV (p = 0.49), hemisphere by sex (p = 0.58), or hemisphere by sex by group (p = 0.68).

Correlation analysis for the whole group

We calculated beta coefficients of APSS total score to left and right pallidal volume controlling for the effect of age, sex, and ICV (Model 1, main model); no covariates (Model 2); age (Model 3); age and sex (Model 4); and age, sex, ICV, and Tanner stage (Model 5) (Supplementary Table 22). There was no significant correlation between APSS total score and left or right pallidal volume.

We then calculated beta coefficients of APSS total score to LIs of pallidal volume controlling for the effect of age and sex (Model 1, main model); no covariates (Model 2); age (Model 3); and age, sex, and Tanner stage (Model 4) (Supplementary Table 23). There was no significant correlation of APSS total score to LIs of pallidal volume.

Correlation analysis exclusively for adolescents in Tanner stage I

We conducted the same analysis exclusively for adolescents in Tanner stage 1. We calculated beta coefficients of APSS total score to left and right pallidal volume controlling for the effect of age, sex, and ICV (Model 1, main model); no covariates (Model 2); age (Model 3); and age and sex (Model 4) (Supplementary Table 24). We found a significant positive correlation of APSS total score to left pallidal volume (p = 0.025–0.041, Models 1–4) but no significant correlation to right pallidal volume.

We then calculated beta coefficients of APSS total score to LIs of pallidal volume controlling for the effects of age and sex (Model 1, main model); no covariates (Model 2); and age (Model 3) (Supplementary Table 25). We found a significant positive correlation between APSS total score and LIs of pallidal volume (p = 0.011–0.016, Models 1–3).

Discussion

In the current study, we collected structural MRI data in a subsample (10.5–13.3 years old) of a large-scale population-based cohort and explored subcortical volumetric and lateralization alterations in adolescents with SPEs. First, adolescents with SPEs demonstrated significant increases in left hippocampus, right caudate, and right lateral ventricle volume (Fig. 1). Second, both SPE-negative and SPE-positive adolescents commonly had leftward asymmetries of the lateral ventricle and thalamus, rightward asymmetries of the hippocampus and amygdala, and no asymmetries of the caudate or putamen, while the pallidum and accumbens showed no asymmetries in individuals without SPEs but leftward asymmetries in those with SPEs (Fig. 2). Third, laterality for pallidal volume was significantly more leftward in adolescents with SPEs than in those without (Fig. 3). Moreover, in additional analyses, we demonstrated marginally significantly larger volume in the left pallidum and more leftward asymmetry for pallidal volume in boys with SPEs than those without. Furthermore, by limiting the scope to Tanner stage 1, we revealed a larger volume in left pallidum and more leftward asymmetry for pallidal volume in adolescents with SPEs than those without.

Adolescents with SPEs demonstrated significant increases in left hippocampus, right caudate, and right lateral ventricle volume. Enlarged volumes of the right caudate and right ventricle in adolescents with SPEs are concordant with previous large-scale studies on chronic schizophrenia (Fig. 1)⁷, although caudate head volumes are decreased in first-episode psychosis⁴¹ and caudate volumes are normal in high-risk individuals⁴². It is unclear why right caudate volumes are increased in individuals with SPEs, but this may be an incipient alteration in potentially risky adolescents. Hippocampal volumes are decreased bilaterally in chronic schizophrenia^7,27,43, in first-episode schizophrenia^44,45,46, and in high risk for psychosis⁴⁶. The right hippocampus seems vulnerable in high-risk young patients with only risk symptoms⁴⁶. Thus, enlargement of the left hippocampus volume in adolescents with SPEs, who have not yet reached a diagnostic level, may reflect changes as compensation to prevent progression to a high-risk state. Further research will be needed to elucidate the detailed mechanism.

We revealed no significant differences in bilateral pallidal volumes between adolescents with SPEs and those without (Fig. 1, Supplementary Tables 6–10). Our previous results of bilateral pallidal enlargement in chronic schizophrenia were not replicated⁷. Previous MRI studies demonstrated enlarged pallidum volume in chronic/previously treated schizophrenia^{7,27,47,48,49,50,51}, but normal pallidal volume in drug-naive schizophrenia^48,52 and first-episode schizophrenia⁵⁰. Consequently, our current results are mostly concordant with these previous studies. Left pallidal volumes are marginally significantly larger in adolescents with SPEs (Supplementary Tables 7–9). We suggest that subtle volumetric alterations in the left pallidum may already occur as a predisposing factor for developing psychosis.

Pallidal volume demonstrated leftward asymmetries in adolescents with SPEs and no significant (but marginally leftward) asymmetries in those without (Fig. 2, Supplementary Table 11). Our previous study revealed no asymmetry of pallidal volume in healthy controls but a significant leftward asymmetry in patients with schizophrenia (mean age: 35 years old)⁷. We suggest a slight leftward asymmetry for pallidum volume will disappear over time in healthy individuals, while a strong leftward asymmetry will remain or amplify in individuals who develop schizophrenia. Moreover, adolescents with SPEs showed significantly more leftward laterality of pallidal volume than those without (Fig. 3, Supplementary Tables 12–15). Our previous study revealed almost the same finding by comparing patients with schizophrenia and healthy subjects⁷. Thus, by overcoming the limitations of our previous results, we suggest that a leftward alteration of pallidal volume laterality should be considered possible premorbid neuropathology in schizophrenia. Previous studies reported left side-specific pallidal predisposing abnormalities in schizophrenia, such as an association between left pallidal volume and Disrupted in schizophrenia 1 (DISC1) single-nucleotide polymorphism (SNP) rs16854756⁵³, and a higher-than-normal blood flow in the left globus pallidus in never-medicated patients with schizophrenia⁵⁴. These findings support our suggestion that a leftward alteration of pallidal volume laterality should be a premorbid predisposition of schizophrenia.

In addition, we demonstrated marginally significantly larger volume in left pallidum and more leftward asymmetry for pallidal volume in boys with SPEs than those without, but no significant differences between girls with SPEs and those without. Moreover, by limiting the scope to Tanner stage 1, we revealed a larger volume in the left pallidum and more leftward asymmetry for pallidal volume in adolescents with SPEs than those without. The volumes of subcortical structures including the pallidum are likely to be affected by age⁵⁵, sex⁵⁶, and pubertal development³², which our data partially support (Supplementary Tables 2–4). Boys are less sexually developed than girls in early adolescence. This may be why the results obtained from the whole sample were replicated in only boys but not girls. Our current finding that limiting the scope to Tanner stage 1 strengthened statistical significance should support the theory of the effect of pubertal development on subcortical volumes³². Detailed mechanisms are expected to be uncovered in the future.

Impaired cortico-striato-thalamo-cortical loops are a prominent theory of the psychosis spectrum^57,58,59. The globus pallidus is the main output structure from the striatum within that network, which involves motor, associative, and limbic functions^60,61. The conventional theory suggests that the inhibitory output from the globus pallidus to the cortex is via the thalamus⁶². However, a direct projection from the globus pallidus externus to the frontal cortex was recently found in mice, which was only ipsilateral and sensitive to antipsychotics⁶³. Thus, it may be implied that aberrant laterality exists in neural circuits and connectivity patterns of the globus pallidus in adolescents with psychotic experiences. Besides, interhemispheric functional connectivity within the globus pallidus is reduced in first-episode schizophrenia⁶⁴, which may support that implication. However, detailed mechanisms of the association between pallidal volume laterality and psychotic experiences are yet to be seen. Further research is required to elucidate this phenomenon.

The current study has several limitations. First, the APSS data were acquired, on average, 16 months prior to MRI scanning. Thus, because of a relatively large time gap, the reliability of our results cannot be fully guaranteed. Age-related changes in SPEs or pallidal volume were not found within this study sample, and intra-individual longitudinal changes in these factors within such a narrow age range are therefore assumed to be small. Thus, the issue of time intervals will not be especially problematic in our current analyses. Second, this study, part of the first wave of the pn-TTC study, is a cross-sectional study, and, because of this, we cannot currently conclude causality between SPEs and pallidal volumetric alterations. We have already launched a longitudinal survey of the pn-TTC study to observe trajectory changes. Thus, this limitation will be overcome in the near future.

In conclusion, the current results of our “population neuroscience” study with a minimally biased, large-scale sample will provide new insights into the predisposing neuropathology of schizophrenia.

References

Helie, S., Ell, S. W. & Ashby, F. G. Learning robust cortico–cortical associations with the basal ganglia: an integrative review. Cortex 64, 123–135 (2015).
Article Google Scholar
Wager, T. D., Davidson, M. L., Hughes, B. L., Lindquist, M. A. & Ochsner, K. N. Prefrontal–subcortical pathways mediating successful emotion regulation. Neuron 59, 1037–1050 (2008).
Article CAS Google Scholar
Graybiel, A., Aosaki, T., Flaherty, A. & Kimura, M. The basal ganglia and adaptive motor control. Science 265, 1826–1831 (1994).
Article CAS Google Scholar
Phillips, J. M., Kambi, N. A. & Saalmann, Y. B. A subcortical pathway for rapid, goal-driven, attentional filtering. Trends Neurosci. 39, 49–51 (2016).
Article CAS Google Scholar
McNab, F. & Klingberg, T. Prefrontal cortex and basal ganglia control access to working memory. Nat. Neurosci. 11, 103–107 (2008).
Article CAS Google Scholar
Wei, W. & Wang, X. J. Inhibitory control in the cortico-basal ganglia–thalamocortical loop: complex regulation and interplay with memory and decision processes. Neuron 92, 1093–1105 (2016).
Article CAS Google Scholar
Okada, N. et al. Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol. Psychiatry 21, 1460–1466 (2016).
Article CAS Google Scholar
Hashimoto, N. et al. The effect of duration of illness and antipsychotics on subcortical volumes in schizophrenia: analysis of 778 subjects. Neuroimage Clin. 17, 563–569 (2018).
Article Google Scholar
van Os, J. Is there a continuum of psychotic experiences in the general population? Epidemiol. Psichiatr. Soc. 12, 242–252 (2003).
Article Google Scholar
van Os, J., Hanssen, M., Bijl, R. V. & Ravelli, A. Strauss (1969) revisited: a psychosis continuum in the general population? Schizophr. Res. 45, 11–20 (2000).
Article Google Scholar
Poulton, R. et al. Children’s self-reported psychotic symptoms and adult schizophreniform disorder: a 15-year longitudinal study. Arch. Gen. Psychiatry 57, 1053–1058 (2000).
Article CAS Google Scholar
Fisher, H. L. et al. Specificity of childhood psychotic symptoms for predicting schizophrenia by 38 years of age: a birth cohort study. Psychol. Med. 43, 2077–2086 (2013).
Article CAS Google Scholar
van Os, J., Linscott, R. J., Myin-Germeys, I., Delespaul, P. & Krabbendam, L. A systematic review and meta-analysis of the psychosis continuum: evidence for a psychosis proneness–persistence–impairment model of psychotic disorder. Psychol. Med. 39, 179–195 (2009).
Article Google Scholar
Laurens, K. R., Hobbs, M. J., Sunderland, M., Green, M. J. & Mould, G. L. Psychotic-like experiences in a community sample of 8000 children aged 9 to 11 years: an item response theory analysis. Psychol. Med. 42, 1495–1506 (2012).
Article CAS Google Scholar
Lataster, T., Myin-Germeys, I., Derom, C., Thiery, E. & van Os, J. Evidence that self-reported psychotic experiences represent the transitory developmental expression of genetic liability to psychosis in the general population. Am. J. Med. Genet. B Neuropsychiatr. Genet. 150B, 1078–1084 (2009).
Article Google Scholar
Polanczyk, G. et al. Etiological and clinical features of childhood psychotic symptoms: results from a birth cohort. Arch. Gen. Psychiatry 67, 328–338 (2010).
Article Google Scholar
Zammit, S. et al. A population-based study of genetic variation and psychotic experiences in adolescents. Schizophr. Bull. 40, 1254–1262 (2014).
Article Google Scholar
Jones, H. J. et al. Phenotypic manifestation of genetic risk for schizophrenia during adolescence in the general population. JAMA Psychiatry 73, 221–228 (2016).
Article Google Scholar
Modinos, G. et al. Schizotypy and brain structure: a voxel-based morphometry study. Psychol. Med. 40, 1423–1431 (2010).
Article CAS Google Scholar
Jacobson, S. et al. Structural and functional brain correlates of subclinical psychotic symptoms in 11–13 year old schoolchildren. Neuroimage 49, 1875–1885 (2010).
Article Google Scholar
Satterthwaite, T. D. et al. Structural brain abnormalities in youth with psychosis spectrum symptoms. JAMA Psychiatry 73, 515–524 (2016).
Article Google Scholar
Drakesmith, M. et al. Mediation of developmental risk factors for psychosis by white matter microstructure in young adults with psychotic experiences. JAMA Psychiatry 73, 396–406 (2016).
Article Google Scholar
O’Hanlon, E. et al. White matter differences among adolescents reporting psychotic experiences: a population-based diffusion magnetic resonance imaging study. JAMA Psychiatry 72, 668–677 (2015).
Article Google Scholar
Modinos, G. et al. Multivariate pattern classification reveals differential brain activation during emotional processing in individuals with psychosis proneness. Neuroimage 59, 3033–3041 (2012).
Article Google Scholar
Wolf, D. H. et al. Functional neuroimaging abnormalities in youth with psychosis spectrum symptoms. JAMA Psychiatry 72, 456–465 (2015).
Article Google Scholar
Orr, J. M., Turner, J. A. & Mittal, V. A. Widespread brain dysconnectivity associated with psychotic-like experiences in the general population. Neuroimage Clin. 4, 343–351 (2014).
Article Google Scholar
van Erp, T. G. et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol. Psychiatry 21, 547–553 (2016).
Article Google Scholar
Spear, L. P. Adolescent neurodevelopment. J. Adolesc. Health 52, S7–S13 (2013).
Article Google Scholar
Sussman, D., Leung, R. C., Chakravarty, M. M., Lerch, J. P. & Taylor, M. J. Developing human brain: age-related changes in cortical, subcortical, and cerebellar anatomy. Brain Behav. 6, e00457 (2016).
Article Google Scholar
Durston, S. et al. Anatomical MRI of the developing human brain: what have we learned? J. Am. Acad. Child Adolesc. Psychiatry 40, 1012–1020 (2001).
Article CAS Google Scholar
Peper, J. S. et al. Sex steroids and brain structure in pubertal boys and girls. Psychoneuroendocrinology 34, 332–342 (2009).
Article CAS Google Scholar
Goddings, A. L. et al. The influence of puberty on subcortical brain development. Neuroimage 88, 242–251 (2014).
Article Google Scholar
Herting, M. M. et al. The role of testosterone and estradiol in brain volume changes across adolescence: a longitudinal structural MRI study. Hum. Brain Mapp. 35, 5633–5645 (2014).
Article Google Scholar
Wierenga, L. M. et al. Unraveling age, puberty and testosterone effects on subcortical brain development across adolescence. Psychoneuroendocrinology 91, 105–114 (2018).
Article CAS Google Scholar
Paus, T. Population neuroscience: why and how. Hum. Brain Mapp. 31, 891–903 (2010).
Article Google Scholar
Fischl, B. et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33, 341–355 (2002).
Article CAS Google Scholar
Kelleher, I., Harley, M., Murtagh, A. & Cannon, M. Are screening instruments valid for psychotic-like experiences? A validation study of screening questions for psychotic-like experiences using in-depth clinical interview. Schizophr. Bull. 37, 362–369 (2011).
Article Google Scholar
Tanner, J. M. Normal growth and techniques of growth assessment. Clin. Endocrinol. Metab. 15, 411–451 (1986).
Article CAS Google Scholar
Faul, F., Erdfelder, E., Lang, A. G. & Buchner, A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175–191 (2007).
Article Google Scholar
Cohen, J. Statistical Power Analysis for the Behavioral Sciences. (Lawrence Erlbaum Associates, Hillsdale, New Jersey, USA, 1998).
Google Scholar
Ellison-Wright, I., Glahn, D. C., Laird, A. R., Thelen, S. M. & Bullmore, E. The anatomy of first-episode and chronic schizophrenia: an anatomical likelihood estimation meta-analysis. Am. J. Psychiatry 165, 1015–1023 (2008).
Article Google Scholar
Hannan, K. L. et al. Caudate nucleus volume in individuals at ultra-high risk of psychosis: a cross-sectional magnetic resonance imaging study. Psychiatry Res. 182, 223–230 (2010).
Article Google Scholar
Nelson, M. D., Saykin, A. J., Flashman, L. A. & Riordan, H. J. Hippocampal volume reduction in schizophrenia as assessed by magnetic resonance imaging: a meta-analytic study. Arch. Gen. Psychiatry 55, 433–440 (1998).
Article CAS Google Scholar
Vita, A., De Peri, L., Silenzi, C. & Dieci, M. Brain morphology in first-episode schizophrenia: a meta-analysis of quantitative magnetic resonance imaging studies. Schizophr. Res. 82, 75–88 (2006).
Article CAS Google Scholar
Steen, R. G., Mull, C., McClure, R., Hamer, R. M. & Lieberman, J. A. Brain volume in first-episode schizophrenia: systematic review and meta-analysis of magnetic resonance imaging studies. Br. J. Psychiatry 188, 510–518 (2006).
Article Google Scholar
Ganzola, R., Maziade, M. & Duchesne, S. Hippocampus and amygdala volumes in children and young adults at high-risk of schizophrenia: research synthesis. Schizophr. Res. 156, 76–86 (2014).
Article Google Scholar
Hokama, H. et al. Caudate, putamen, and globus pallidus volume in schizophrenia: a quantitative MRI study. Psychiatry Res. 61, 209–229 (1995).
Article CAS Google Scholar
Gur, R. E. et al. Subcortical MRI volumes in neuroleptic-naive and treated patients with schizophrenia. Am. J. Psychiatry 155, 1711–1717 (1998).
Article CAS Google Scholar
Wright, I. C. et al. Meta-analysis of regional brain volumes in schizophrenia. Am. J. Psychiatry 157, 16–25 (2000).
Article CAS Google Scholar
Lang, D. J. et al. An MRI study of basal ganglia volumes in first-episode schizophrenia patients treated with risperidone. Am. J. Psychiatry 158, 625–631 (2001).
Article CAS Google Scholar
Hulshoff Pol, H. E. et al. Focal gray matter density changes in schizophrenia. Arch. Gen. Psychiatry 58, 1118–1125 (2001).
Article CAS Google Scholar
Spinks, R. et al. Globus pallidus volume is related to symptom severity in neuroleptic naive patients with schizophrenia. Schizophr. Res. 73, 229–233 (2005).
Article Google Scholar
Carless, M. A. et al. Impact of DISC1 variation on neuroanatomical and neurocognitive phenotypes. Mol. Psychiatry 16, 1096–1104 (2011).
Article CAS Google Scholar
Early, T. S., Reiman, E. M., Raichle, M. E. & Spitznagel, E. L. Left globus pallidus abnormality in never-medicated patients with schizophrenia. Proc. Natl. Acad. Sci. U.S.A. 84, 561–563 (1987).
Article CAS Google Scholar
Raznahan, A. et al. Longitudinal four-dimensional mapping of subcortical anatomy in human development. Proc. Natl. Acad. Sci. U.S.A. 111, 1592–1597 (2014).
Article CAS Google Scholar
Dennison, M. et al. Mapping subcortical brain maturation during adolescence: evidence of hemisphere- and sex-specific longitudinal changes. Dev. Sci. 16, 772–791 (2013).
Article Google Scholar
Dandash, O. et al. Altered striatal functional connectivity in subjects with an at-risk mental state for psychosis. Schizophr. Bull. 40, 904–913 (2014).
Article Google Scholar
Fornito, A. et al. Functional dysconnectivity of corticostriatal circuitry as a risk phenotype for psychosis. JAMA Psychiatry 70, 1143–1151 (2013).
Article Google Scholar
Anticevic, A. et al. Association of thalamic dysconnectivity and conversion to psychosis in youth and young adults at elevated clinical risk. JAMA Psychiatry 72, 882–891 (2015).
Article Google Scholar
Rodriguez-Oroz, M. C. et al. Initial clinical manifestations of Parkinson’s disease: features and pathophysiological mechanisms. Lancet Neurol. 8, 1128–1139 (2009).
Article CAS Google Scholar
Jahanshahi, M., Obeso, I., Rothwell, J. C. & Obeso, J. A. A fronto-striato-subthalamic-pallidal network for goal-directed and habitual inhibition. Nat. Rev. Neurosci. 16, 719–732 (2015).
Article CAS Google Scholar
Nambu, A., Yoshida, S. & Jinnai, K. Projection on the motor cortex of thalamic neurons with pallidal input in the monkey. Exp. Brain Res. 71, 658–662 (1988).
Article CAS Google Scholar
Saunders, A. et al. A direct GABAergic output from the basal ganglia to frontal cortex. Nature 521, 85–89 (2015).
Article CAS Google Scholar
Mwansisya, T. E. et al. The diminished interhemispheric connectivity correlates with negative symptoms and cognitive impairment in first-episode schizophrenia. Schizophr. Res. 150, 144–150 (2013).
Article Google Scholar

Download references

Acknowledgements

The current work is a part of Tokyo Teen Cohort Study, and the authors would like to thank all researchers, investigators, and participants for substantial support in sample collection and management. The current work was supported by MEXT Grant-in-Aid for Scientific Research on Innovative Areas (Advanced Bioimaging Support), grant number 16H06280 (K.K.); MEXT Grant-in-Aid for Scientific Research on Innovative Areas (Adolescent Mind & Self-Regulation), grant numbers 23118002 (A.N. and M.H.-H.) and 16H01689 (K.K.); MEXT Grant-in-Aid for Scientific Research on Innovative Areas (Personalized Value Development through Adolescence), grant numbers 16H06395, 16H06399, and 16K21720 (K.K.) and 16H06398 (S.Y., A.N., and M.H.-H.); and Japan Agency for Medical Research and Development (AMED), grant numbers JP18dm0307001 and JP18dm0307004 (K.K.). This study was also partially supported by the “Brain Mapping by Integrated Neurotechnologies for Disease Studies” (Brain/MINDS), the “Development of BMI Technologies for Clinical Application”, part of the Strategic Research Program for Brain Science from Japan Agency for Medical Research and Development (AMED), UTokyo Center for Integrative Science of Human Behavior (CiSHuB), and the International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS).

Author information

Authors and Affiliations

Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Naohiro Okada, Noriaki Yahata, Daisuke Koshiyama, Kentaro Morita, Kingo Sawada, Sho Kanata, Shinya Fujikawa, Noriko Sugimoto, Rie Toriyama, Mio Masaoka, Shinsuke Koike, Tsuyoshi Araki, Shuntaro Ando & Kiyoto Kasai
International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
Naohiro Okada, Shinsuke Koike & Kiyoto Kasai
Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
Noriaki Yahata
Department of Psychiatry, Teikyo University School of Medicine, Tokyo, Japan
Sho Kanata
UTokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan
Shinsuke Koike
Department of Child Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Yukiko Kano
Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
Kaori Endo, Syudo Yamasaki, Shuntaro Ando & Atsushi Nishida
Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, The Graduate University for Advanced Studies (SOKENDAI), Kanagawa, Japan
Mariko Hiraiwa-Hasegawa

Authors

Naohiro Okada
View author publications
You can also search for this author in PubMed Google Scholar
Noriaki Yahata
View author publications
You can also search for this author in PubMed Google Scholar
Daisuke Koshiyama
View author publications
You can also search for this author in PubMed Google Scholar
Kentaro Morita
View author publications
You can also search for this author in PubMed Google Scholar
Kingo Sawada
View author publications
You can also search for this author in PubMed Google Scholar
Sho Kanata
View author publications
You can also search for this author in PubMed Google Scholar
Shinya Fujikawa
View author publications
You can also search for this author in PubMed Google Scholar
Noriko Sugimoto
View author publications
You can also search for this author in PubMed Google Scholar
Rie Toriyama
View author publications
You can also search for this author in PubMed Google Scholar
Mio Masaoka
View author publications
You can also search for this author in PubMed Google Scholar
Shinsuke Koike
View author publications
You can also search for this author in PubMed Google Scholar
Tsuyoshi Araki
View author publications
You can also search for this author in PubMed Google Scholar
Yukiko Kano
View author publications
You can also search for this author in PubMed Google Scholar
Kaori Endo
View author publications
You can also search for this author in PubMed Google Scholar
Syudo Yamasaki
View author publications
You can also search for this author in PubMed Google Scholar
Shuntaro Ando
View author publications
You can also search for this author in PubMed Google Scholar
Atsushi Nishida
View author publications
You can also search for this author in PubMed Google Scholar
Mariko Hiraiwa-Hasegawa
View author publications
You can also search for this author in PubMed Google Scholar
Kiyoto Kasai
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

K.K. supervised the entire project. N.O. and K.K. analyzed the data and wrote the manuscript. All authors contributed to data collection and interpreted the results.

Corresponding author

Correspondence to Kiyoto Kasai.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Supplemental Material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Okada, N., Yahata, N., Koshiyama, D. et al. Abnormal asymmetries in subcortical brain volume in early adolescents with subclinical psychotic experiences. Transl Psychiatry 8, 254 (2018). https://doi.org/10.1038/s41398-018-0312-6

Download citation

Received: 20 May 2018
Revised: 13 August 2018
Accepted: 08 November 2018
Published: 28 November 2018
DOI: https://doi.org/10.1038/s41398-018-0312-6

This article is cited by

Longitudinal hippocampal subfield development associated with psychotic experiences in young people
- Aisling O’Neill
- Niamh Dooley
- Mary Cannon
Translational Psychiatry (2024)
Dynamic effects of bilingualism on brain structure map onto general principles of experience-based neuroplasticity
- M. Korenar
- J. Treffers-Daller
- C. Pliatsikas
Scientific Reports (2023)
Facial and upper-limb movement abnormalities in individuals with psychotic-like experiences: a motion analysis study
- Shu-Mei Wang
- Bess Yin-Hung Lam
- Wen-Chen Ouyang
European Archives of Psychiatry and Clinical Neuroscience (2023)
Rhythmic auditory stimulation incorporated in training improved movements in individuals with psychotic-like experiences
- Shu-Mei Wang
- Sin-Tung Chan
- Cheuk-Kiu Leung
European Archives of Psychiatry and Clinical Neuroscience (2023)
Subcortical volumetric alterations in four major psychiatric disorders: a mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification
- Naohiro Okada
- Masaki Fukunaga
- Ryota Hashimoto
Molecular Psychiatry (2023)

Subjects

Abstract

Similar content being viewed by others

Introduction

Materials and methods

Participants and ethics

Scanning and image processing

Psychological and physical evaluation

Subject selection

Statistical analysis

Overall statistical strategy

Subcortical volume analysis

Alterations of subcortical regional volumes in adolescents with SPEs

Intra-group subcortical volume laterality in adolescents without and with SPEs

Group differences in subcortical volume laterality between adolescents without and with SPEs

Detailed analysis on the globus pallidus

Alterations of pallidal volume and its laterality in adolescents with SPEs within each sex

Comparisons of pallidal volume and its laterality between the SPE(−) and SPE(+) groups exclusively in adolescents in Tanner stage I

Hemispheric differences in pallidal volume

Correlation analysis for the whole group

Correlation analysis exclusively for adolescents in Tanner stage I

Power analysis

Results

Overall sex and age effects

Alterations of subcortical regional volumes in adolescents with SPEs

Intra-group subcortical volume laterality in adolescents without and with SPEs

Group differences in subcortical volume laterality between adolescents without and with SPEs

Detailed analysis of the globus pallidus

Alterations of pallidal volume and its laterality in adolescents with SPEs within each sex

Comparisons of pallidal volume and its laterality between the SPE(−) and SPE(+) groups exclusively in adolescents in Tanner stage I

Hemispheric differences in pallidal volume

Correlation analysis for the whole group

Correlation analysis exclusively for adolescents in Tanner stage I

Discussion

References

Acknowledgements

Author information

Authors and Affiliations

Contributions

Corresponding author

Ethics declarations

Conflict of interest

Additional information

Electronic supplementary material

Rights and permissions

About this article

Cite this article

Share this article

This article is cited by

Search

Quick links