Skip to main content
Frontiers in Psychiatry logoLink to Frontiers in Psychiatry
. 2022 Nov 3;13:1033918. doi: 10.3389/fpsyt.2022.1033918

Heschl’s gyrus duplication pattern and clinical characteristics in borderline personality disorder: A preliminary study

Tsutomu Takahashi 1,2,*, Daiki Sasabayashi 1,2, Dennis Velakoulis 3,4, Michio Suzuki 1,2, Patrick D McGorry 5,6, Christos Pantelis 3,7,8, Andrew M Chanen 5,6
PMCID: PMC9669378  PMID: 36405909

Abstract

Inter-individual variations in the sulco-gyral pattern of Heschl’s gyrus (HG) might contribute to emotional processing. However, it remains largely unknown whether borderline personality disorder (BPD) patients exhibit an altered HG gyrification pattern, compared with healthy individuals, and whether such a brain morphological feature, if present, might contribute to their clinical characteristics. The present study used magnetic resonance imaging to investigate the distribution of HG gyrification patterns (single or duplicated) and their relationship to clinical characteristics in teenage BPD patients with minimal treatment exposure. No significant difference was noted for the prevalence of HG patterns between 20 BPD and 20 healthy participants. However, the BPD participants with left duplicated HG were characterized by higher prevalence of comorbid disruptive behavior disorders, with higher externalizing score compared with those with left single HG. Our preliminary results suggest that neurodevelopmental pathology associated with gyral formation might be implicated in the neurobiology of early BPD, especially for emotional and behavioral control.

Keywords: superior temporal gyrus, gyrification, sulco-gyral pattern, externalizing behavior, disruptive behavior disorders, magnetic resonance imaging

Introduction

Heschl’s gyrus (HG), which is a convolution on the surface of superior temporal gyrus (STG), contains the primary auditory cortex and is central to auditory processing (1), while also having a prominent role in emotional information processing (2, 3). HG is known for its high inter-individual anatomical variability, potentially due to variations in cytoarchitectonic development during fetal life; about 30–50% of healthy adults have a partial split of the lateral part of the gyrus (i.e., partial duplication) or independent two gyri (complete duplication) (4, 5). Although the functional significance of different HG patterns remains unclear, HG duplication might be related to decreased HG activity during auditory processing (6) and learning impairment (7, 8). It is also reported that hyper-gyrification (i.e., extensive cortical folding) in the STG region is weakly associated with motor impulsivity (9) and irritability (10) in healthy young adults. However, the role of a HG duplication pattern on personality traits characterized by emotional dysregulation remains unknown.

Although the neurobiology of borderline personality disorder (BPD) has yet to be elucidated, abnormalities in neural networks, including the STG, have been implicated in their impulsive behaviors and emotional instability (1113). Furthermore, previous magnetic resonance imaging (MRI) studies have reported that BPD patients exhibit brain morphological characteristics associated with fetal neurodevelopmental abnormalities (e.g., altered sulco-gyral patterns and hyper- or hypo-gyrification) at early stages of the illness (1418). While our previous MRI study found no volume changes of HG in a BPD cohort and its clinical subgroups (e.g., with and without violent episodes) (19), no MRI studies have specifically investigated HG duplication patterns in BPD.

This MRI study examined the distribution of HG gyrification patterns in BPD teenagers who had received minimal treatment and in healthy control participants. Based on a possible role for the STG in emotional dysregulation in BPD (11) and structure-function relationships of HG gyrification patterns (6), we predicted that BPD patients would have an altered prevalence of HG duplication. We also explored whether the HG gyrification pattern was related to BPD phenomenology.

Materials and methods

Participants

The present study included 20 teenagers with BPD and 20 healthy controls (Table 1). Recruitment strategy and sample characteristics of this cohort have been detailed elsewhere (20). All participants in this study had no history of significant medical problems that could affect brain function and/or mental conditions (e.g., thyroid diseases, serious brain injury, seizure, neurological illness, or other).

TABLE 1.

Demographic and clinical characteristics of the study participants.

Variable Healthy controls BPD patients Group comparison
Age (years) 19 ± 2.2 17.3 ± 1.1 ANOVA: F (1, 38) = 2.97, p = 0.003
(range, 16.2–23.8) (range, 15.4–19.2)
Gender (males/females) 5/15 5/15 χ2 = 0.00, p = 1.000
Hand dominance (right/left/mixed) 18/2/0 18/1/1 Fisher’s exact test: p = 0.513
NART-estimated IQa 101.9 ± 9.1 100.9 ± 5.8 ANOVA: F (1, 37) = 0.20, p = 0.654
Life time trauma exposure (yes/no)b 10/9
Parasuicidal episodes in 6 months (yes/no) 13/7
Number of parasuicidal episode 11.0 ± 9.8 (N = 13)
Violent episodes in 6 months (yes/no) 9/11
Number of violent episode 6.4 ± 9.2 (N = 9)
YASR or YSR subscale scores
Internalizing 0.91 ± 0.49
Externalizing 0.76 ± 0.41
SCID-II total BPD score 21 ± 3.2

Values represent means ± SDs. ANOVA, analysis of variance; BPD, borderline personality disorder; NART, National Adult Reading Test; SCID-II, Structured Clinical Interview for DSM-IV Axis II Disorders; YASR, Young Adult Self-Report; YSR, Youth Self-Report. aData were not available for some participants. bInterview data were not available for one BPD patient.

Briefly, BPD teenagers meeting the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II) criteria (21) but who had never received specific treatment for BPD, were recruited from the Helping Young People Early (HYPE) Clinic, an early intervention service for BPD in Melbourne, Australia (22). Major comorbid Axis I diagnoses were: disruptive behavior disorders (N = 10), mood disorder (N = 7), anxiety disorder (N = 9), and/or substance use disorders (N = 6). They were medication-free at scanning except for three patients who had received antidepressants. At intake, they were assessed for lifetime trauma exposure (physical, emotional, and/or sexual) and parasuicidal/violent episodes (Table 1) via a semi-structured interview.

The patients also completed the Young Adult Self-Report [YASR (23)] (age ≥18 years) or the Youth Self-Report [YSR (24)] (age <18 years).

Healthy comparison subjects were selected from a database of healthy volunteers who had no personal of family history of psychiatric disorders or substance abuse/dependence. The SCID-II derived checklist was used to confirm that they did not have any BPD symptoms. This study was approved by Melbourne Health Mental Health Research and Ethics Committee (MHREC2009.607). In accordance with the Declaration of Helsinki, Study participants or a parent or guardian gave written informed consent, prior to participating in the study.

Magnetic resonance imaging procedures

Magnetic resonance images were obtained using a 1.5T GE Signa scanner, with a three-dimensional volumetric spoiled gradient recalled echo sequence to provide 124 contiguous coronal slices of 1.5 mm thickness. Detailed imaging parameters were described elsewhere (17, 19).

As fully described previously (2529), the HG gyrification patterns were classified into single or duplicated patterns on the reformatted MR images (i.e., 0.938 mm iso-voxel images) using Dr. View (Infocom, Tokyo, Japan); the duplicated HG patterns were subdivided into partial [i.e., common stem duplication (CSD)] or complete [i.e., complete posterior duplication (CPD)] patterns (Figure 1). All HG gyrification patterns were classified by one rater (TT) with no knowledge of the subjects’ identities. A validation study of HG pattern classification in a randomly selected 20 hemispheres showed sufficient inter- (TT and DS) and intra-rater (TT) reliabilities (Cronbach’s α > 0.80).

FIGURE 1.

FIGURE 1

Sample MR images of different gyrification pattern in the Heschl’s gyrus (HG) (colored in blue). These HG patterns have been demonstrated also in our previous publications (2226). A, anterior; CPD, complete posterior duplication; CSD, common stem duplication; FTS, first transverse sulcus; HS, Heschl’s sulcus; L, lateral; Lt, left; P, posterior; M, medial; PP, planum polare; Rt, right; sHG, second Heschl’s gyrus; sHS, second Heschl’s sulcus; SI, sulcus intermedius.

Statistical analysis

Group differences in the HG pattern distribution (single, CSD, or CPD) were compared for each hemisphere using the χ2 test or Fisher’s exact test. Given that only four hemispheres in the BPD group had the CPD pattern (Table 2) and that partial and complete duplications likely have no differences in tonotopic organization of human auditory cortex (30), similar to a previous study examining the relationship between the HG patterns and HG activity (6), the CSD and CPD patterns were categorized together as “duplicated pattern” for subsequent analyses. Relationships between the HG gyrification patterns and BPD subgroups (i.e., with or without the trauma exposure, violent/parasuicidal behaviors, and comorbid DSM diagnoses) were also assessed by the χ2 test or Fisher’s exact test. Because of the small sample size, the non-parametric Mann–Whitney U test was used to evaluate the potential contribution of HG gyrification pattern to clinical variables (IQ, YSR/YASR subscale scores, number of suicidal and violent episodes, and SCID-II total BPD score). Statistical significance was set at p < 0.05.

TABLE 2.

Gyrification pattern of Heschl’s gyrus (HG) in the study participants.

Healthy controls
Right HG pattern [N (%)]
Single CSD CPD Total
Left HG pattern [N (%)] Single 6 (30.0) 6 (30.0) 2 (10.0) 14 (70.0)
CSD 2 (10.0) 2 (10.0) 1 (5.0) 5 (25.0)
CPD 1 (5.0) 0 (0.0) 0 (0.0) 1 (5.0)
Total 9 (45.0) 8 (40.0) 3 (15.0) 20 (100.0)

BPD

Right HG pattern [N (%)]
Single CSD CPD Total

Left HG pattern [N (%)] Single 5 (25.0) 5 (25.0) 0 (0.0) 10 (50.0)
CSD 3 (15.0) 3 (15.0) 3 (15.0) 9 (45.0)
CPD 0 (0) 1 (5.0) 0 (0.0) 1 (5.0)
Total 8 (40.0) 9 (45.0) 3 (15.0) 20 (100.0)

CSD, common stem duplication; CPD, complete posterior duplication.

Results

Sample characteristics

There were no significant group differences in gender ratio, height, handedness, and IQ, while BPD patients were younger than controls (Table 1). The BPD participants with comorbid disruptive behavior disorders had a higher YSR/YASR externalizing score (N = 10; mean = 1.04, SD = 0.37) than those without (N = 10; mean = 0.49, SD = 0.22) [F (1, 18) = 17.13], p < 0.001], but other demographic and clinical variables did not differ between these subgroups.

Heschl’s gyrus pattern distributions

We found no significant differences in the prevalence of HG patterns bilaterally between the BPD and control groups (Table 2 and Figure 2), even when the CSD and CPD patterns were categorized together as the duplicated pattern (all p > 0.197).

FIGURE 2.

FIGURE 2

Distribution of Heschl’s gyrus (HG) duplication patterns in the healthy control (HC) and borderline personality disorder (BPD) groups. CPD, complete posterior duplication; CSD, common stem duplication. Error bars show 95% confidence intervals.

Association between the Heschl’s gyrus pattern and demographic/clinical characteristics

Gender and IQ were not related to the HG gyrification pattern for both BPD and healthy control groups.

The BPD patients with left duplicated HG were characterized by higher YSR/YASR externalizing scores (U = 79.0, p = 0.029) (Figure 3) and higher prevalence of comorbid disruptive behavior disorders (Fisher’s exact test, p = 0.023) (Table 3), compared with those with left single HG. Other clinical variables and subgroups of the BPD patients were not related to HG gyrification patterns.

FIGURE 3.

FIGURE 3

Youth Self-Report (YSR) or Young Adult Self-Report (YASR) externalizing scores in the borderline personality disorder patients with single and duplicated Heschl’s gyrus patterns on the left hemisphere. Horizontal bars indicate means of each group. *p < 0.05.

TABLE 3.

Gyrification pattern of Heschl’s gyrus (HG) in borderline personality disorder (BPD) patients with and without comorbid disruptive behavior disorders.

BPD with disruptive behavior disorders
Right HG pattern [N (%)]
Single Duplicated Total
Left HG pattern [N (%)] Single 1 (10.0) 1 (10.0) 2 (20.0)
Duplicated 3 (30.0) 5 (50.0) 8 (80.0)
Total 4 (40.0) 6 (60.0) 10 (100.0)

BPD without disruptive behavior disorders

Right HG pattern [N (%)]
Single Duplicated Total

Left HG pattern [N (%)] Single 4 (40.0) 4 (40.0) 8 (80.0)
Duplicated 0 (0.0) 2 (10.0) 2 (20.0)
Total 4 (40.0) 6 (60.0) 10 (100.0)

Discussion

To our knowledge, this is the first study examining the HG duplication pattern and its relationship to clinical characteristics in BPD. While the prevalence of HG duplication did not differ between the adolescent BPD patients and control subjects, the patients who had a duplicated HG on the left hemisphere were characterized by more severe aggressive behavior, compared with those with a single HG. The present results suggest that neurodevelopmental characteristics associated with fetal gyral formation might contribute to clinical subtypes and/or symptom severity early in the course of BPD.

Previous MRI studies in adolescent BPD demonstrated gray matter reduction and/or significant relationship with aggression/impulsivity predominantly in fronto-limbic brain regions (31, 32), which could not be explained by confounding factors associated with illness chronicity and treatment (33). Interestingly, a few diffusion tensor imaging studies in adolescent BPD (3436) supported the notion that abnormalities in fronto-limbic networks are associated with emotional dysregulation and impulsivity early in the course of BPD (33). Further, recent MRI findings of gross anatomical features in BPD patients [e.g., altered cortical surface morphology (15, 17, 18)], which reflect prenatal brain development (37), may at least partly support their early neurodevelopmental pathology (33). However, there are discrepancies in previous cortical folding findings in BPD; Vatheuer et al. (18) demonstrated a parietal hyper-gyrification, while Depping et al. (15) reported a significant relationship between hypo-gyrification of the orbitofrontal region and impulsivity. Thus, potential role of early neurodevelopmental processes associated with cortical folding on the pathophysiology of BPD may have regional specificity.

The present findings of HG duplication pattern appear to reflect fetal neurodevelopment, because variations in the HG gyrification pattern are formed largely during the late gestation period along with neural development (38, 39) but remain rather stable after birth (40). Despite the small sample size, the prevalence and pattern (i.e., more frequent in right hemisphere) of HG duplication in our healthy subjects were comparable with previous reports in large samples (4, 5, 41). The BPD group was characterized by higher prevalence of HG duplication on left hemisphere (50%) than healthy subjects (30%) [odds ratio = 2.33 (95% CI, 0.64–8.54)] with small-to-medium effect size (Phi = 0.204), but this difference was not statistically significant. This negative result might reflect the heterogeneity of the disorder (42), because the HG patterns were associated with specific subtypes and symptoms in our BPD cohort as detailed below. It is reported that antipsychotic medication (43) and adverse environmental factors [e.g., childhood maltreatment (44)] might also affect gyrification in the adult brain, but we found no effects of trauma exposure on HG patterns in our BPD cohort with minimal treatment exposure.

In the present study, our results suggested that left duplicated HG in BPD might contribute to higher score for delinquent and aggressive behavior (i.e., externalizing score) and higher prevalence of comorbid disruptive behavior disorders, supporting the notion that BPD is a heterogeneous disorder with different neurobiological underpinnings for core endophenotypes, such as emotional dysregulation and impulsive aggression (45). Although the present study cannot directly address the functional significance of HG patterns in the neurobiology of BPD, our results are consistent with previous findings that the HG duplication is associated with impaired HG functioning (6) and that abnormal neural networks including the STG contribute to impulsive behaviors and emotional instability in BPD (1113). These findings seem to support the early neurodevelopmental model of BPD that neurobiological vulnerability associated with fetal sulcal formation might contribute to specific clinical characteristics in early stages of BPD. However, further studies will be needed to clarify the role of environmental factors after birth that might further increase the risk of BPD in vulnerable individuals (33, 46).

There are several potential confounding factors in this study. First, the present study was clearly limited by a lack of statistical power to reliably detect group differences due to small sample size. Because the BPD group in this study had a somewhat higher prevalence of left HG duplication compared to controls (Table 2 and Figure 2), the possibility exists that future investigation in a larger BPD cohort might be able to detect significant group differences. Similarly, potential gender differences in brain gyrification (47) could not be reliably examined in our small sample especially for male subjects. Second, younger age of the BPD patients (mean = 17.3 years), compared with control participants (mean = 19.0 years) in this study, might have biased our results. However, it is unlikely that this difference in a narrow age would have a major impact on gross sulco-gyral pattern, which is a rather stable neurodevelopmental marker (40). Indeed, we found no effect of age on the HG patterns (single vs. duplicated) in the present sample [left, F (1, 38) = 1.02, p = 0.320; right, F (1, 38) = 0.12, p = 0.744]. Furthermore, the effect of age alone could not explain our main finding of different prevalence of HG duplication between the BPD subgroups (with and without disruptive behavior disorders), since these subgroups did not differ for age. Third, the CSD and CPD patterns were categorized together in this study because only a few hemispheres had the CPD pattern. While the functional role of the HG duplication type (i.e., CPD vs. CSD) remains largely unknown, our previous study in schizophrenia suggested specific role of the CSD pattern on cognitive deficits (27). Thus, future studies should examine whether different HG duplication patterns play different roles in the pathophysiology of BPD. Finally, the present study cannot address whether the relationship between the HG duplication and emotional/behavioral characteristics is specific to BPD, because of the lack of a clinical comparison group and because the healthy participants in this study were not comprehensively assessed for personality pathology or behavioral characteristics. It remains unanswered whether participants with disruptive behavior disorders, but without BPD features, have an altered HG pattern. Further, we have previously demonstrated the association between HG duplication and “lack” of emotional responsivity in schizophrenia (28), suggesting different contribution of HG patterns on clinical characteristics in different disorders/conditions. It should be noted that we examined only the HG patterns, but not other biological features, and their relationship with clinical and behavioral feature of our BPD cohort. Thus, the disease specificity of our HG findings and their functional significance should be further tested using larger samples of various clinical/non-clinical populations.

In summary, our preliminary results demonstrated a relationship between the HG duplication pattern and BPD phenomenology (especially aggressive behavior) in teenagers with first-presentation BPD. Thus, neurobiological vulnerability associated with fetal sulcal formation might increase the risk for impaired control of emotion and behavior in the early stages of BPD.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Melbourne Health Mental Health Research and Ethics Committee. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author contributions

AC, MS, CP, and PM conceived the idea and methodology of the study. TT conducted the statistical analyses and wrote the manuscript. AC and DV recruited subjects and involved in clinical and diagnostic assessments. TT and DS analyzed the MRI data. AC, CP, and MS contributed to the writing and editing of the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported in part by JSPS KAKENHI grant numbers: JP18K07550 to TT, JP18K15509 to DS, and JP20H03598 to MS, and by the Health and Labor Sciences Research Grants for Comprehensive Research on Persons with Disabilities from the Japan Agency for Medical Research and Development (AMED) grant number: JP19dk0307029 to MS. CP was supported by a National Health and Medical Research Council (ID: NHMRC), L3 Investigator Grant (ID: 1196508), and a NHMRC Program Grant (ID: 1150083).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1.Rademacher J, Caviness VS, Jr, Steinmetz H, Galaburda AM. Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology. Cereb Cortex. (1993) 3:313–29. 10.1093/cercor/3.4.313 [DOI] [PubMed] [Google Scholar]
  • 2.Concina G, Renna A, Grosso A, Sacchetti B. The auditory cortex and the emotional valence of sounds. Neurosci Biobehav Rev. (2019) 98:256–64. 10.1016/j.neubiorev.2019.01.018 [DOI] [PubMed] [Google Scholar]
  • 3.Grosso A, Cambiaghi M, Concina G, Sacco T, Sacchetti B. Auditory cortex involvement in emotional learning and memory. Neuroscience. (2015) 299:45–55. 10.1016/j.neuroscience.2015.04.068 [DOI] [PubMed] [Google Scholar]
  • 4.Abdul-Kareem IA, Sluming V. Heschl gyrus and its included primary auditory cortex: structural MRI studies in healthy and diseased subjects. J Magn Reson Imaging. (2008) 28:287–99. 10.1002/jmri.21445 [DOI] [PubMed] [Google Scholar]
  • 5.Marie D, Jobard G, Crivello F, Perchey G, Petit L, Mellet E, et al. Descriptive anatomy of Heschl’s gyri in 430 healthy volunteers, including 198 left-handers. Brain Struct Funct. (2015) 220:729–43. 10.1007/s00429-013-0680-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Tzourio-Mazoyer N, Marie D, Zago L, Jobard G, Perchey G, Leroux G, et al. Heschl’s gyrification pattern is related to speech-listening hemispheric lateralization: fMRI investigation in 281 healthy volunteers. Brain Struct Funct. (2015) 220:1585–99. 10.1007/s00429-014-0746-4 [DOI] [PubMed] [Google Scholar]
  • 7.Leonard CM, Voeller KK, Lombardino LJ, Morris MK, Hynd GW, Alexander AW, et al. Anomalous cerebral structure in dyslexia revealed with magnetic resonance imaging. Arch Neurol. (1993) 50:461–9. 10.1001/archneur.1993.00540050013008 [DOI] [PubMed] [Google Scholar]
  • 8.Leonard CM, Eckert MA, Lombardino LJ, Oakland T, Kranzler J, Mohr CM, et al. Anatomical risk factors for phonological dyslexia. Cereb Cortex. (2001) 11:148–57. 10.1093/cercor/11.2.148 [DOI] [PubMed] [Google Scholar]
  • 9.Hirjak D, Thomann AK, Kubera KM, Wolf RC, Jeung H, Maier-Hein KH, et al. Cortical folding patterns are associated with impulsivity in healthy young adults. Brain Imaging Behav. (2017) 11:1592–603. 10.1007/s11682-016-9618-2 [DOI] [PubMed] [Google Scholar]
  • 10.Besteher B, Squarcina L, Spalthoff R, Bellani M, Gaser C, Brambilla P, et al. Brain structural correlates of irritability: findings in a large healthy cohort. Hum Brain Mapp. (2017) 38:6230–8. 10.1002/hbm.23824 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Koenigsberg HW, Siever LJ, Lee H, Pizzarello S, New AS, Goodman M, et al. Neural correlates of emotion processing in borderline personality disorder. Psychiatry Res Neuroimaging. (2009) 172:192–9. 10.1016/j.pscychresns.2008.07.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Leyton M, Okazawa H, Diksic M, Paris J, Rosa P, Mzengeza S, et al. Brainregional alpha-[11C]methyl-L-tryptophan trapping in impulsive subjects with borderline personality disorder. Am J Psychiatry. (2001) 158:775–82. 10.1176/appi.ajp.158.5.775 [DOI] [PubMed] [Google Scholar]
  • 13.Soloff PH, Meltzer CC, Greer PJ, Constantine D, Kelly TM. A fenfluramine-activated FDG-PET study of borderline personality disorder. Biol Psychiatry. (2000) 47:540–7. 10.1016/s0006-3223(99)00202-4 [DOI] [PubMed] [Google Scholar]
  • 14.de Araujo Filho GM, Abdallah C, Sato JR, de Araujo TB, Lisondo CM, de Faria ÁA, et al. Morphometric hemispheric asymmetry of orbitofrontal cortex in women with borderline personality disorder: a multi-parameter approach. Psychiatry Res. (2014) 223:61–6. 10.1016/j.pscychresns.2014.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Depping MS, Thomann PA, Wolf ND, Vasic N, Sosic-Vasic Z, Schmitgen MM, et al. Common and distinct patterns of abnormal cortical gyrification in major depression and borderline personality disorder. Eur Neuropsychopharmacol. (2018) 28:1115–25. 10.1016/j.euroneuro.2018.07.100 [DOI] [PubMed] [Google Scholar]
  • 16.Takahashi T, Chanen AM, Wood SJ, Walterfang M, Harding IH, Yücel M, et al. Midline brain structures in teenagers with first-presentation borderline personality disorder. Prog Neuropsychopharmacol Biol Psychiatry. (2009) 33:842–6. 10.1016/j.pnpbp.2009.03.035 [DOI] [PubMed] [Google Scholar]
  • 17.Takahashi T, Nishikawa Y, Velakoulis D, Suzuki M, McGorry PD, Pantelis C, et al. Olfactory sulcus morphology in teenagers with first-presentation borderline personality disorder. Psychiatry Res Neuroimaging. (2019) 292:1–4. 10.1016/j.pscychresns.2019.08.006 [DOI] [PubMed] [Google Scholar]
  • 18.Vatheuer CC, Dzionsko I, Maier S, Näher T, van Zutphen L, Sprenger A, et al. Looking at the bigger picture: cortical volume, thickness and surface area characteristics in borderline personality disorder with and without posttraumatic stress disorder. Psychiatry Res Neuroimaging. (2021) 311:111283. 10.1016/j.pscychresns.2021.11128 [DOI] [PubMed] [Google Scholar]
  • 19.Takahashi T, Chanen AM, Wood SJ, Yücel M, Kawasaki Y, McGorry PD, et al. Superior temporal gyrus volume in teenagers with first-presentation borderline personality disorder. Psychiatry Res Neuroimaging. (2010) 182:73–6. 10.1016/j.pscychresns.2009.10.014 [DOI] [PubMed] [Google Scholar]
  • 20.Chanen AM, Velakoulis D, Carison K, Gaunson K, Wood SJ, Yuen HP, et al. Orbitofrontal, amygdala and hippocampal volumes in teenagers with first-presentation borderline personality disorder. Psychiatry Res. (2008) 163:116–25. 10.1016/j.pscychresns.2007.08.007 [DOI] [PubMed] [Google Scholar]
  • 21.First MB, Gibbon M, Spitzer RL, Williams JBW, Benjamin LS. User’s Guide for the Structured Clinical Interview for DSM-IV Axis II Personality Disorders. Washington, DC: American Psychiatric Press; (1997). [Google Scholar]
  • 22.Chanen AM, McCutcheon L, Germano D, Nistico H, Jackson HJ, McGorry PD. The HYPE Clinic: an early intervention service for borderline personality disorder. J Psychiatr Pract. (2009) 15:163–72. 10.1097/01.pra.0000351876.51098.f0 [DOI] [PubMed] [Google Scholar]
  • 23.Achenbach TM. Manual for the Young Adult Self-report and Young Adult Behavior Checklist. Burlington, VT: University of Vermont; (1997). [Google Scholar]
  • 24.Achenbach TM. Manual for the Youth Self-report and 1991 Profiles. Burlington, VT: University of Vermont; (1991). [Google Scholar]
  • 25.Takahashi T, Sasabayashi D, Takayanagi Y, Furuichi A, Kido M, Nakamura M, et al. Altered Heschl’s gyrus duplication pattern in first-episode schizophrenia. Schizophr Res. (2021) 237:174–81. 10.1016/j.schres.2021.09.011 [DOI] [PubMed] [Google Scholar]
  • 26.Takahashi T, Sasabayashi D, Takayanagi Y, Furuichi A, Kido M, Pham TV, et al. Increased Heschl’s gyrus duplication in schizophrenia spectrum disorders: a cross-sectional MRI study. J Pers Med. (2021) 11:40. 10.3390/jpm11010040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Takahashi T, Sasabayashi D, Takayanagi Y, Higuchi Y, Mizukami Y, Nishiyama S, et al. Heschl’s gyrus duplication pattern in individuals at risk of developing psychosis and patients with schizophrenia. Front Behav Neurosci. (2021) 15:647069. 10.3389/fnbeh.2021.647069 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Takahashi T, Sasabayashi D, Takayanagi Y, Furuichi A, Kobayashi H, Noguchi K, et al. Different Heschl’s gyrus duplication patterns in deficit and non-deficit subtypes of schizophrenia. Front Psychiatry. (2022) 13:867461. 10.3389/fpsyt.2022.867461 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Takahashi T, Sasabayashi D, Yücel M, Whittle S, Lorenzetti V, Walterfang M, et al. Different frequency of Heschl’s gyrus duplication patterns in neuropsychiatric disorders: an MRI study in bipolar and major depressive disorders. Front Hum Neurosci. (2022) 16:917270. 10.3389/fnhum.2022.917270 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Da Costa S, van der Zwaag W, Marques JP, Frackowiak RS, Clarke S, Saenz M. Human primary auditory cortex follows the shape of Heschl’s gyrus. J Neurosci. (2011) 31:14067–75. 10.1523/JNEUROSCI.2000-11.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Chu J, Zheng K, Yi J. Aggression in borderline personality disorder: a systematic review of neuroimaging studies. Prog Neuropsychopharmacol Biol Psychiatry. (2022) 113:110472. 10.1016/j.pnpbp.2021.110472 [DOI] [PubMed] [Google Scholar]
  • 32.Winsper C, Marwaha S, Lereya ST, Thompson A, Eyden J, Singh SP. A systematic review of the neurobiological underpinnings of borderline personality disorder (BPD) in childhood and adolescence. Rev Neurosci. (2016) 27:827–47. 10.1515/revneuro-2016-0026 [DOI] [PubMed] [Google Scholar]
  • 33.Chanen AM, Kaess M. Developmental pathways to borderline personality disorder. Curr Psychiatry Rep. (2012) 14:45–53. 10.1007/s11920-011-0242-y [DOI] [PubMed] [Google Scholar]
  • 34.Maier-Hein KH, Brunner R, Lutz K, Henze R, Parzer P, Feigl N, et al. Disorder-specific white matter alterations in adolescent borderline personality disorder. Biol Psychiatry. (2014) 75:81–8. 10.1016/j.biopsych.2013.03.031 [DOI] [PubMed] [Google Scholar]
  • 35.New AS, Carpenter DM, Perez-Rodriguez MM, Ripoll LH, Avedon J, Patil U, et al. Developmental differences in diffusion tensor imaging parameters in borderline personality disorder. J Psychiatr Res. (2013) 47:1101–9. 10.1016/j.jpsychires.2013.03.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Sadek MN, Ismail ES, Kamel AI, Saleh AA, Youssef AA, Madbouly NM. Diffusion tensor imaging of corpus callosum in adolescent females with borderline personality disorder. J Psychiatr Res. (2021) 138:272–9. 10.1016/j.jpsychires.2021.04.010 [DOI] [PubMed] [Google Scholar]
  • 37.Zilles K, Palomero-Gallagher N, Amunts K. Development of cortical folding during evolution and ontogeny. Trends Neurosci. (2013) 36:275–84. 10.1016/j.tins.2013.01.006 [DOI] [PubMed] [Google Scholar]
  • 38.Chi JG, Dooling EC, Gilles FH. Gyral development of the human brain. Ann Neurol. (1977) 1:86–93. 10.1002/ana.410010109 [DOI] [PubMed] [Google Scholar]
  • 39.Van Essen DC. A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature. (1997) 385:313–8. 10.1038/385313a0 [DOI] [PubMed] [Google Scholar]
  • 40.Armstrong E, Schleicher A, Omran H, Curtis M, Zilles K. The ontogeny of human gyrification. Cereb Cortex. (1995) 5:56–63. 10.1093/cercor/5.1.56 [DOI] [PubMed] [Google Scholar]
  • 41.Tzourio-Mazoyer N, Mazoyer B. Variations of planum temporale asymmetries with Heschl’s Gyri duplications and association with cognitive abilities: MRI investigation of 428 healthy volunteers. Brain Struct Funct. (2017) 222:2711–26. 10.1007/s00429-017-1367-5 [DOI] [PubMed] [Google Scholar]
  • 42.Skodol AE, Siever LJ, Livesley WJ, Gunderson JG, Pfohl B, Widiger TA, et al. The borderline diagnosis II: biology, genetics, and clinical course. Biol Psychiatry. (2002) 51:951–63. 10.1016/s0006-3223(02)01325-2 [DOI] [PubMed] [Google Scholar]
  • 43.Pham TV, Sasabayashi D, Takahashi T, Takayanagi Y, Kubota M, Furuichi A, et al. Longitudinal changes in brain gyrification in schizophrenia spectrum disorders. Front Aging Neurosci. (2021) 13:752575. 10.3389/fnagi.2021.752575 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Kelly PA, Viding E, Wallace GL, Schaer M, De Brito SA, Robustelli B, et al. Cortical thickness, surface area, and gyrification abnormalities in children exposed to maltreatment: neural markers of vulnerability? Biol Psychiatry. (2013) 74:845–52. 10.1016/j.biopsych.2013.06.020 [DOI] [PubMed] [Google Scholar]
  • 45.Siever LJ. Endophenotypes in the personality disorders. Dialogues Clin Neurosci. (2015) 7:139–51. 10.31887/DCNS.2005.7.2/lsiever [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Crowell SE, Beauchaine TP, Linehan MM. A biosocial developmental model of borderline personality: elaborating and extending Linehan’s theory. Psychol Bull. (2019) 135:495–510. 10.1037/a0015616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.White T, Su S, Schmidt M, Kao CY, Sapiro G. The development of gyrification in childhood and adolescence. Brain Cogn. (2010) 72:36–45. 10.1016/j.bandc.2009.10.009 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.


Articles from Frontiers in Psychiatry are provided here courtesy of Frontiers Media SA

RESOURCES