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Wang Y, Zhao R, Zhu D, Fu X, Sun F, Cai Y, Ma J, Guo X, Zhang J, Xue Y. Voxel- and tensor-based morphometry with machine learning techniques identifying characteristic brain impairment in patients with cervical spondylotic myelopathy. Front Neurol 2024; 15:1267349. [PMID: 38419699 PMCID: PMC10899699 DOI: 10.3389/fneur.2024.1267349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
Aim The diagnosis of cervical spondylotic myelopathy (CSM) relies on several methods, including x-rays, computed tomography, and magnetic resonance imaging (MRI). Although MRI is the most useful diagnostic tool, strategies to improve the precise and independent diagnosis of CSM using novel MRI imaging techniques are urgently needed. This study aimed to explore potential brain biomarkers to improve the precise diagnosis of CSM through the combination of voxel-based morphometry (VBM) and tensor-based morphometry (TBM) with machine learning techniques. Methods In this retrospective study, 57 patients with CSM and 57 healthy controls (HCs) were enrolled. The structural changes in the gray matter volume and white matter volume were determined by VBM. Gray and white matter deformations were measured by TBM. The support vector machine (SVM) was used for the classification of CSM patients from HCs based on the structural features of VBM and TBM. Results CSM patients exhibited characteristic structural abnormalities in the sensorimotor, visual, cognitive, and subcortical regions, as well as in the anterior corona radiata and the corpus callosum [P < 0.05, false discovery rate (FDR) corrected]. A multivariate pattern classification analysis revealed that VBM and TBM could successfully identify CSM patients and HCs [classification accuracy: 81.58%, area under the curve (AUC): 0.85; P < 0.005, Bonferroni corrected] through characteristic gray matter and white matter impairments. Conclusion CSM may cause widespread and remote impairments in brain structures. This study provided a valuable reference for developing novel diagnostic strategies to identify CSM.
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Affiliation(s)
- Yang Wang
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Rui Zhao
- Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Dan Zhu
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- Department of Radiology, Tianjin Medical University General Hospital Airport Hospital, Tianjin, China
| | - Xiuwei Fu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Fengyu Sun
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuezeng Cai
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Juanwei Ma
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Guo
- Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Jing Zhang
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuan Xue
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Spine and Spinal Cord, Tianjin Medical University General Hospital, Tianjin, China
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Yi X, Xiao Q, Fu Y, Wang X, Shen L, Ding J, Jiang F, Wang J, Zhang Z, Chen BT. Association of white matter microstructural alteration with non-suicidal self-injury behavior and visual working memory in adolescents with borderline personality disorder. Psychiatry Res 2024; 331:115619. [PMID: 38048646 DOI: 10.1016/j.psychres.2023.115619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/13/2023] [Accepted: 11/18/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Non-suicidal self-injurious behavior (NSSI) is the core characteristic of adolescent borderline personality disorder (BPD) and visual working memory is involved in the pathological processes of BPD. This study aimed to investigate alterations in white matter microstructure and their association with NSSI and visual working memory in adolescents with BPD. METHODS 53 adolescents diagnosed with BPD and 39 healthy controls (HCs) were enrolled. White matter microstructure was assessed with the fractional anisotropy (FA) and mean diffusivity (MD) from diffusion tensor imaging (DTI). Correlation analysis was performed to assess the association between FA/MD and core features of BPD. A mediation analysis was performed to test whether the effects of white matter alterations on NSSI could be mediated by visual working memory. RESULTS Adolescents with BPD showed a reduced FA and an increased MD in the cortical-limbic and cortical-thalamus circuit when compared to the HCs (p < 0.05). Increased MD was positively correlated with NSSI, impulse control and identity disturbance (p < 0.05), and was negatively correlated with the score of visual reproduction. Reserved visual working memory masked the effects of white matter microstructural alterations on NSSI behavior. CONCLUSIONS White matter microstructural deficits in the cortical-limbic and cortical-thalamus circuits may be associated with NSSI and visual working memory in adolescents with BPD. Reserved visual working memory may protect against NSSI.
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Affiliation(s)
- Xiaoping Yi
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Central South University, Changsha, Hunan 410008, PR China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Changsha, Hunan 410008, PR China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China; Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China; Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Qian Xiao
- Mental Health Center of Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan 410008, PR China.
| | - Yan Fu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Xueying Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Liying Shen
- Mental Health Center of Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan 410008, PR China
| | - Jun Ding
- Department of Public Health, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, Guangdong, PR China
| | - Furong Jiang
- Mental Health Center of Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan 410008, PR China
| | - Jing Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Zhejia Zhang
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Bihong T Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA 91010, USA
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Stone BM. The Pathogenesis of Borderline Personality Disorder: Evolution of Evidence and Treatment Implications for Two Prominent Models. Psychol Rep 2022:332941221127618. [PMID: 36112891 DOI: 10.1177/00332941221127618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
Since Stern first started his work in 1938, the field has recognized several empirically supported models of the etiology of borderline personality disorder (BPD). Two such models are the Tripartite Model of the Development of BPD and the Biosocial Development Model of BPD. The Tripartite Model of the Development of BPD suggests that it is a combination of a hyperbolic temperament, traumatic childhood experiences, and an event or series of events that trigger the onset of BPD. Whereas the Biosocial Development Model of BPD elaborates on the work of Linehan's Biosocial Theory. This model suggests a combination of an emotionally vulnerable temperament and an invalidating environment cause BPD. Over 70 years of research support these models. This article covers a detailed description of each of these models, the decades of research supporting these models, similarities, differences, treatment implications, the latest research, and future directions.
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Aberrant Structural Connectivity of the Triple Network System in Borderline Personality Disorder Is Associated with Behavioral Dysregulation. J Clin Med 2022; 11:jcm11071757. [PMID: 35407365 PMCID: PMC8999477 DOI: 10.3390/jcm11071757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/18/2022] [Accepted: 03/18/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Core symptoms of Borderline Personality Disorder (BPD) are associated to aberrant connectivity of the triple network system (salience network [SN], default mode network [DMN], executive control network [ECN]). While functional abnormalities are widely reported, structural connectivity (SC) and anatomical changes have not yet been investigated. Here, we explored the triple network’s SC, structure, and its association with BPD clinical features. Methods: A total of 60 BPD and 26 healthy controls (HC) underwent a multidomain neuropsychological and multimodal MRI (diffusion- and T1-weighted imaging) assessment. Metrics (fractional anisotropy [FA], mean diffusivity [MD], cortical thickness) were extracted from SN, DMN, ECN (triple network), and visual network (control network) using established atlases. Multivariate general linear models were conducted to assess group differences in metrics and associations with clinical features. Results: Patients showed increased MD in the anterior SN, dorsal DMN, and right ECN compared to HC. Diffusivity increases were more pronounced in patients with higher behavioral dysregulation, i.e., suicidal attempting, self-harm, and aggressiveness. No differences were detected in network structure. Conclusions: These results indicate that the triple network system is impaired in BPD at the microstructural level. The preferential involvement of anterior and right-lateralized subsystems and their clinical association suggests that these abnormalities could contribute to behavioral dysregulation.
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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; 138:272-279. [PMID: 33872964 DOI: 10.1016/j.jpsychires.2021.04.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/05/2021] [Accepted: 04/08/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES The aim of this study was to assess the structural alteration of corpus callosum (CC) in adolescent females with Borderline Personality Disorder (BPD) and detect the relationship between these changes and BPD symptoms. METHODS A comparative case control study was conducted on 50 adolescent females that were divided into 2 groups; 25 outpatients suffering from BPD (according to DSM-IV-TR diagnostic criteria) compared to 25 healthy adolescents. All subjects were assessed by Borderline Personality Questionnaire, Barratt impulsivity scale-11, Brief Non-Suicidal Self-Injury Assessment tool, Beck Scale for Suicidal Ideation, and Diffusion tensor imaging. RESULTS Relative to control subjects, BPD patients had significantly lower fractional anisotropy (FA) values in the genu and lower mean diffusivity (MD) values in the body of CC. There was a negative correlation between FA values in the genu and body of CC and impulsivity. MD in the body of CC was positively correlated with motor impulsiveness and negatively correlated with suicidality. CONCLUSION Adolescent females with BPD show structural alterations in the CC that are related to symptoms of emotional dysregulation and impulsivity.
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Affiliation(s)
| | | | - Ayman Isamil Kamel
- Department of Radiology, Faculty of Medicine, Cairo University, Cairo, Egypt.
| | - Alia Adel Saleh
- Department of Psychiatry, Faculty of Medicine, Cairo University, Cairo, Egypt.
| | - Ayda Aly Youssef
- Department of Radiology, National Cancer Institute, Cairo University, Cairo, Egypt.
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Lapomarda G, Grecucci A, Messina I, Pappaianni E, Dadomo H. Common and different gray and white matter alterations in bipolar and borderline personality disorder: A source-based morphometry study. Brain Res 2021; 1762:147401. [PMID: 33675742 DOI: 10.1016/j.brainres.2021.147401] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 02/15/2021] [Accepted: 02/25/2021] [Indexed: 12/21/2022]
Abstract
According to the nosological classification, Bipolar Disorder (BD) and Borderline Personality Disorder (BPD) are different syndromes. However, these pathological conditions share a number of affective symptoms that make the diagnosis difficult. Affective symptoms range from abnormal mood swings, characterizing both BD and BPD, to regulation dysfunctions, more specific to BPD. To shed light on the neural bases of these aspects, and to better understand differences and similarities between the two disorders, we analysed for the first time gray and white matter features of both BD and BPD. Structural T1 images from 30 patients with BD, 20 with BPD, and 45 controls were analysed by capitalizing on an innovative whole-brain multivariate method known as Source-based Morphometry. Compared to controls, BD patients showed increased gray matter concentration (p = .003) in a network involving mostly subcortical structures and cerebellar areas, possibly related to abnormal mood experiences. Notably, BPD patients showed milder alterations in the same circuit, standing in the middle of a continuum between BD and controls. In addition to this, we found an altered white matter network specific to BPD (p = .018), including frontal-parietal and temporal regions possibly associated with dysfunctional top-down emotion regulation. These findings may shed light on a better understanding of affective disturbances behind the two disorders, with BD patients more characterized by abnormalities in neural structures involved in mood oscillations, and BPD by deficits in the cognitive regulation of emotions. These results may help developing better treatments tailored to the specific affective disturbances displayed by these patients.
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Affiliation(s)
- Gaia Lapomarda
- Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences, University of Trento, Rovereto, Italy.
| | - Alessandro Grecucci
- Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences, University of Trento, Rovereto, Italy
| | | | - Edoardo Pappaianni
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Harold Dadomo
- Department of Neuroscience, University of Parma, Parma, Italy
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Kelleher-Unger I, Tajchman Z, Chittano G, Vilares I. Meta-Analysis of white matter diffusion tensor imaging alterations in borderline personality disorder. Psychiatry Res Neuroimaging 2021; 307:111205. [PMID: 33158715 DOI: 10.1016/j.pscychresns.2020.111205] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 10/06/2020] [Accepted: 10/07/2020] [Indexed: 01/18/2023]
Abstract
Borderline personality disorder (BorPD) is characterized by instability and mood dysregulation, unstable relationships and distorted self-image. Identification of underlying anatomical and physiological changes is crucial to refine current treatments and develop new ones. In this perspective, previous magnetic resonance imaging studies have highlighted alterations associated with BorPD phenotype. In particular, diffusion-weighted imaging/Diffusion tensor imaging (DWI/DTI) has identified many white matter structural alterations in individuals with this diagnosis. Although in its infancy, limiting this line of investigation is a lack of direction at the field level. Hence, the present paper aims to conduct a meta-analysis of DWI/DTI findings in individuals with a diagnosis of BorPD, testing the hypothesis that there are specific white matter alterations associated with BorPD. To this end, we performed a meta-analysis of the existing literature of DWI/DTI in BorPD representing a total of 123 individuals with BorPD and 117 Controls. Our results indicated that individuals with BorPD show regions of reduced fractional anisotropy in the corpus callosum and fornix. These results survived all jack-knife reshuffles and showed no publication bias. This suggests that alterations in these structures may contribute to psychopathology. Further, the present results lend support to extant psychological and biological models of BorPD.
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Affiliation(s)
- Isaac Kelleher-Unger
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom; Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Zuzanna Tajchman
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom; Department of Psychology, University of Minnesota, Minneapolis, MN, United States of America
| | - Gabriella Chittano
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom
| | - Iris Vilares
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom; Department of Psychology, University of Minnesota, Minneapolis, MN, United States of America.
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Sanjari Moghaddam H, Mehrabinejad MM, Mohebi F, Hajighadery A, Maroufi SF, Rahimi R, Aarabi MH. Microstructural white matter alterations and personality traits: A diffusion MRI study. JOURNAL OF RESEARCH IN PERSONALITY 2020. [DOI: 10.1016/j.jrp.2020.104010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Grottaroli M, Delvecchio G, Bressi C, Moltrasio C, Soares JC, Brambilla P. Microstructural white matter alterations in borderline personality disorder: A minireview. J Affect Disord 2020; 264:249-255. [PMID: 32056758 DOI: 10.1016/j.jad.2019.12.033] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 12/17/2019] [Accepted: 12/30/2019] [Indexed: 01/07/2023]
Abstract
BACKGROUND Borderline personality disorder (BPD) affects 1-5% of the population and is characterized by a complex symptomatology and selective functional impairments. Although brain imaging studies have contributed to better characterizing the pathophysiological mechanisms underlying BPD, the white matter (WM) deficits associated with this disorder are still unclear. Therefore, the present review aims at providing an overview of the findings emerged from the available diffusion tensor imaging (DTI) studies on BPD. METHODS From a bibliographic research in PubMed until May 2019, we collected 12 studies that fulfilled our inclusion criteria, including a total sample of 291 BPD subjects and 293 healthy controls. RESULTS Overall, the DTI studies reviewed showed impairments in selective WM tracts that are part of the prefronto-limbic system, including frontal WM (short and long tracts), anterior cingulate cortex, corpus callosum, corona radiata, hippocampal fornix and thalamic radiation, in BPD patients compared to healthy controls. LIMITATIONS Few DTI studies with heterogeneous findings. CONCLUSIONS Overall these results reported that BPD is characterized by selective structural connectivity alterations in prefronto-limbic structures, further supporting the neurobiological model of BPD that suggests the presence of an abnormal modulation of frontal regions over limbic structures. Finally, the results also highlighted that the disrupted WM integrity in selective brain regions may also explain key-aspects of BPD symptomatology, including emotional dysregulation, ambivalence, contradictory behaviors and cognitive dysfunctions.
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Affiliation(s)
- M Grottaroli
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - G Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - C Bressi
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - C Moltrasio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - J C Soares
- Department of Psychiatry and Behavioural Sciences, UT Houston Medical School, Houston, TX, USA
| | - P Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
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