1
|
Zhu Z, Lei D, Qin K, Tallman MJ, Patino LR, Fleck DE, Gong Q, Sweeney JA, DelBello MP, McNamara RK. Cortical and subcortical structural differences in psychostimulant-free ADHD youth with and without a family history of bipolar I disorder: a cross-sectional morphometric comparison. Transl Psychiatry 2023; 13:368. [PMID: 38036505 PMCID: PMC10689449 DOI: 10.1038/s41398-023-02667-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/31/2023] [Accepted: 11/13/2023] [Indexed: 12/02/2023] Open
Abstract
Although attention-deficit/hyperactivity disorder (ADHD) and a family history of bipolar I disorder (BD) are associated with increased risk for developing BD, their neuroanatomical substrates remain poorly understood. This study compared cortical and subcortical gray matter morphology in psychostimulant-free ADHD youth with and without a first-degree relative with BD and typically developing healthy controls. ADHD youth (ages 10-18 years) with ('high-risk', HR) or without ('low-risk', LR) a first-degree relative with BD and healthy comparison youth (HC) were enrolled. High-resolution 3D T1-weighted images were acquired using a Philips 3.0 T MR scanner. The FreeSurfer image analysis suite was used to measure cortical thickness, surface area, and subcortical volumes. A general linear model evaluated group differences in MRI features with age and sex as covariates, and exploratory correlational analyses evaluated associations with symptom ratings. A total of n = 142 youth (mean age: 14.16 ± 2.54 years, 35.9% female) were included in the analysis (HC, n = 48; LR, n = 49; HR, n = 45). The HR group exhibited a more severe symptom profile, including higher mania and dysregulation scores, compared to the LR group. For subcortical volumes, the HR group exhibited smaller bilateral thalamic, hippocampal, and left caudate nucleus volumes compared to both LR and HC, and smaller right caudate nucleus compared with LR. No differences were found between LR and HC groups. For cortical surface area, the HR group exhibited lower parietal and temporal surface area compared with HC and LR, and lower orbitofrontal and superior frontal surface area compared to LR. The HR group exhibited lower left anterior cingulate surface area compared with HC. LR participants exhibited greater right pars opercularis surface area compared with the HC. Some cortical alterations correlated with symptom severity ratings. These findings suggest that ADHD in youth with a BD family history is associated with a more a severe symptom profile and a neuroanatomical phenotype that distinguishes it from ADHD without a BD family history.
Collapse
Affiliation(s)
- Ziyu Zhu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, PR China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
| | - Du Lei
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, PR China.
| | - Kun Qin
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, PR China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, PR China
- Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, 442012, PR China
| | - Maxwell J Tallman
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
| | - L Rodrigo Patino
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
| | - David E Fleck
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, PR China.
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, 361021, Fujian, PR China.
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, PR China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
| | - Melissa P DelBello
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
| | - Robert K McNamara
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, 45219, OH, USA
| |
Collapse
|
2
|
Xiong J, Zhu H, Li X, Hao S, Zhang Y, Wang Z, Xi Q. Auto-Classification of Parkinson's Disease with Different Motor Subtypes Using Arterial Spin Labelling MRI Based on Machine Learning. Brain Sci 2023; 13:1524. [PMID: 38002484 PMCID: PMC10670033 DOI: 10.3390/brainsci13111524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 10/26/2023] [Accepted: 10/28/2023] [Indexed: 11/26/2023] Open
Abstract
The purpose of this study was to automatically classify different motor subtypes of Parkinson's disease (PD) on arterial spin labelling magnetic resonance imaging (ASL-MRI) data using support vector machine (SVM). This study included 38 subjects: 21 PD patients and 17 normal controls (NCs). Based on the Unified Parkinson's Disease Rating Scale (UPDRS) subscores, patients were divided into the tremor-dominant (TD) subtype and the postural instability gait difficulty (PIGD) subtype. The subjects were in a resting state during the acquisition of ASL-MRI data. The automated anatomical atlas 3 (AAL3) template was registered to obtain an ASL image of the same size and shape. We obtained the voxel values of 170 brain regions by considering the location coordinates of these regions and then normalized the data. The length of the feature vector depended on the number of voxel values in each brain region. Three binary classification models were utilized for classifying subjects' data, and we applied SVM to classify voxels in the brain regions. The left subgenual anterior cingulate cortex (ACC_sub_L) was clearly distinguished in both NCs and PD patients using SVM, and we obtained satisfactory diagnostic rates (accuracy = 92.31%, specificity = 96.97%, sensitivity = 84.21%, and AUCmax = 0.9585). For the right supramarginal gyrus (SupraMarginal_R), SVM distinguished the TD group from the other groups with satisfactory diagnostic rates (accuracy = 84.21%, sensitivity = 63.64%, specificity = 92.59%, and AUCmax = 0.9192). For the right intralaminar of thalamus (Thal_IL_R), SVM distinguished the PIGD group from the other groups with satisfactory diagnostic rates (accuracy = 89.47%, sensitivity = 70.00%, specificity = 6.43%, and AUCmax = 0.9464). These results are consistent with the changes in blood perfusion related to PD subtypes. In addition, the sensitive brain regions of the TD group and PIGD group involve the brain regions where the cerebellothalamocortical (CTC) and the striatal thalamocortical (STC) loops are located. Therefore, it is suggested that the blood perfusion patterns of the two loops may be different. These characteristic brain regions could become potential imaging markers of cerebral blood flow to distinguish TD from PIGD. Meanwhile, our findings provide an imaging basis for personalised treatment, thereby optimising clinical diagnostic and treatment approaches.
Collapse
Affiliation(s)
- Jinhua Xiong
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New Area, Shanghai 200120, China; (J.X.)
| | - Haiyan Zhu
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, No. 389 Xincun Road, Putuo District, Shanghai 200065, China
| | - Xuhang Li
- School of Computer Science and Technology, Donghua University, No. 2999 North Renmin Road, Songjiang Area, Shanghai 200000, China
| | - Shangci Hao
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New Area, Shanghai 200120, China; (J.X.)
| | - Yueyi Zhang
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New Area, Shanghai 200120, China; (J.X.)
| | - Zijian Wang
- School of Computer Science and Technology, Donghua University, No. 2999 North Renmin Road, Songjiang Area, Shanghai 200000, China
| | - Qian Xi
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New Area, Shanghai 200120, China; (J.X.)
| |
Collapse
|
3
|
A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10330-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
|
4
|
Delvecchio G, Gritti D, Squarcina L, Brambilla P. Neurovascular alterations in bipolar disorder: A review of perfusion weighted magnetic resonance imaging studies. J Affect Disord 2022; 316:254-272. [PMID: 35940377 DOI: 10.1016/j.jad.2022.07.059] [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: 09/13/2021] [Revised: 07/08/2022] [Accepted: 07/22/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Bipolar Disorder (BD) is a severe chronic psychiatric disorder whose aetiology is still largely unknown. However, increasing literature reported the involvement of neurovascular factors in the pathophysiology of BD, suggesting that a measure of Cerebral Blood Flow (CBF) could be an important biomarker of the illness. Therefore, since, to date, Magnetic Resonance Perfusion Weighted Imaging (PWI) techniques, such as Dynamic Susceptibility Contrast (DSC) and Arterial Spin Labelling (ASL), are the most common approaches that allow non-invasive in-vivo perfusion measurements,this review aims to summarize the results from all PWI studies that evaluated the CBF in BD. METHODS A bibliographic search in PubMed up until May 2021 was performed. 16 PWI studies that used DSC or ASL sequences met our inclusion criteria. RESULTS Overall, the results supported the presence of hyper-perfusion in the cingulate cortex and fronto-temporal regions, as well as the presence of hypo-perfusion in the cerebellum in BD, compared with both healthy controls and patients with unipolar depression. CBF changes after cognitive and aerobic training, as well as in relation with other physiological, clinical, and neurocognitive variables were also reported. LIMITATIONS The heterogeneity across the studies, in terms of experimental designs, sample selection, and methodological approach employed, limited the studies' comparison. CONCLUSIONS These findings showed CBF alterations in the cingulate cortex, fronto-temporal regions, and cerebellum in BD, suggesting that CBF may be an important pathophysiological marker of BD that merits further investigation to clarify the extent of neurovascular alterations.
Collapse
Affiliation(s)
- Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
| | - Davide Gritti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Letizia Squarcina
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| |
Collapse
|
5
|
Hsu CH, Hsu JL, Tsai SY. Retinal nerve fiber layer thickness associated with specific brain region volumes in bipolar disorder. Acta Psychiatr Scand 2022; 146:98-100. [PMID: 35383892 DOI: 10.1111/acps.13430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/09/2022] [Accepted: 03/20/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Chi-Hsin Hsu
- Department of Ophthalmology, Shuang- Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Jung-Lung Hsu
- Department of Neurology, New Taipei Municipal Tu-Cheng Hospital, Chang Gung Memorial Hospital and Chang Gung University, New Taipei City, Taiwan.,Graduate Institute of Humanities in Medicine and Research Center for Brain and Consciousness, College of Humanities And Social Sciences, Taipei Medical University, Taipei, Taiwan
| | - Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Department of Psychiatry and Psychiatric Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| |
Collapse
|
6
|
Zhang H, Zhou Z, Ding L, Wu C, Qiu M, Huang Y, Jin F, Shen T, Yang Y, Hsu LM, Wang J, Zhang H, Shen D, Peng D. Divergent and convergent imaging markers between bipolar and unipolar depression based on Machine Learning. IEEE J Biomed Health Inform 2022; 26:4100-4110. [PMID: 35412995 DOI: 10.1109/jbhi.2022.3166826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Distinguishing bipolar depression (BD) from unipolar depression (UD) based on symptoms only is challenging. Brain functional connectivity (FC), especially dynamic FC, has emerged as a promising approach to identify possible imaging markers for differentiating BD from UD. However, most of such studies utilized conventional FC and group-level statistical comparisons, which may not be sensitive enough to quantify subtle changes in the FC dynamics between BD and UD. In this paper, we present a more effective individualized differentiation model based on machine learning and the whole-brain high-order functional connectivity (HOFC) network. The HOFC, capturing temporal synchronization among the dynamic FC time series, a more complex chronnectome metric compared to the conventional FC, was used to classify 52 BD, 73 UD, and 76 healthy controls (HC). We achieved a satisfactory accuracy (70.40%) in BD vs. UD differentiation. The resultant contributing features revealed the involvement of the coordinated flexible interactions among sensory (e.g., olfaction, vision, and audition), motor, and cognitive systems. Despite sharing common chronnectome of cognitive and affective impairments, BD and UD also demonstrated unique dynamic FC synchronization patterns. UD is more associated with abnormal visual-somatomotor inter-network connections, while BD is more related to impaired ventral attention-frontoparietal inter-network connections. Moreover, we found that the illness duration modulated the BD vs. UD separation, with the differentiation performance hampered by the secondary disease effects. Our findings suggest that BD and UD may have divergent and convergent neural substrates, which further expand our knowledge of the two different mental disorders.
Collapse
|
7
|
Niu L, Hu Y, Yuan C, Wu X, Zheng L, Zhang Y. Cerebral structural alterations in the patients undergoing postherpetic neuralgia: A VBM-MRI study. IBRAIN 2022; 8:119-126. [PMID: 37786886 PMCID: PMC10528961 DOI: 10.1002/ibra.12027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 10/04/2023]
Abstract
This study aimed to investigate the changes in gray matter (GM) volume and density in patients with postherpetic neuralgia (PHN). Using voxel-based morphometry (VBM), the differences in cerebral GM volume and concentration between 25 PHN patients and 25 healthy controls with similar gender ratios, ages, and education were compared. Meanwhile, correlation analysis was performed between the value of GM volume/concentration in the brain areas with discrepancy and the visual analog scale (VAS) score/lesion duration. The global GM volume in PHN patients was lower than that of healthy controls, while the total volume of cerebrospinal fluid in PHN patients was higher than that of healthy controls. In PHN patients, the GM volume decreased in the striatum, cerebellum, precentral gyrus, middle frontal gyrus, parahippocampal gyrus, postcentral gyrus, and so forth; the GM concentration decreased in the striatum, insula, middle and posterior cingulate, and superior temporal gyrus. There was a negative correlation between GM concentration in the right parahippocampal gyrus and the VAS in patients with PHN. In PHN patients, GM volume and density in the brain regions involved in nociceptive sensation, pain perception, and integration decreased significantly. The interaction between chronic pain of PHN and alteration of the cerebral structure may contribute to the occurrence and development of PHN.
Collapse
Affiliation(s)
- Li Niu
- Department of AnesthesiologyThe Second Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Key Laboratory of Anesthesia and Organ Protecting of Guizhou ProvinceZunyiGuizhouChina
- Department of AnesthesiologyZunyi Medical UniversityZunyiGuizhouChina
| | - Yi Hu
- Department of AnesthesiologyThe Second Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Cheng‐Dong Yuan
- Department of AnesthesiologyThe Second Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Key Laboratory of Anesthesia and Organ Protecting of Guizhou ProvinceZunyiGuizhouChina
- Department of AnesthesiologyZunyi Medical UniversityZunyiGuizhouChina
| | - Xing‐Yan Wu
- Department of AnesthesiologyThe Second Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Key Laboratory of Anesthesia and Organ Protecting of Guizhou ProvinceZunyiGuizhouChina
- Department of AnesthesiologyZunyi Medical UniversityZunyiGuizhouChina
| | - Lei‐Lei Zheng
- Department of AnesthesiologyThe Second Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Key Laboratory of Anesthesia and Organ Protecting of Guizhou ProvinceZunyiGuizhouChina
- Department of AnesthesiologyZunyi Medical UniversityZunyiGuizhouChina
| | - Yi Zhang
- Department of AnesthesiologyThe Second Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Key Laboratory of Anesthesia and Organ Protecting of Guizhou ProvinceZunyiGuizhouChina
- Department of AnesthesiologyZunyi Medical UniversityZunyiGuizhouChina
| |
Collapse
|
8
|
Abé C, Ching CRK, Liberg B, Lebedev AV, Agartz I, Akudjedu TN, Alda M, Alnæs D, Alonso-Lana S, Benedetti F, Berk M, Bøen E, Bonnin CDM, Breuer F, Brosch K, Brouwer RM, Canales-Rodríguez EJ, Cannon DM, Chye Y, Dahl A, Dandash O, Dannlowski U, Dohm K, Elvsåshagen T, Fisch L, Fullerton JM, Goikolea JM, Grotegerd D, Haatveit B, Hahn T, Hajek T, Heindel W, Ingvar M, Sim K, Kircher TTJ, Lenroot RK, Malt UF, McDonald C, McWhinney SR, Melle I, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadić I, Opel N, Overs BJ, Panicalli F, Pfarr JK, Poletti S, Pomarol-Clotet E, Radua J, Repple J, Ringwald KG, Roberts G, Rodriguez-Cano E, Salvador R, Sarink K, Sarró S, Schmitt S, Stein F, Suo C, Thomopoulos SI, Tronchin G, Vieta E, Westlye LT, White AG, Yatham LN, Zak N, Thompson PM, Andreassen OA, Landén M. Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working Group. Biol Psychiatry 2022; 91:582-592. [PMID: 34809987 DOI: 10.1016/j.biopsych.2021.09.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 08/24/2021] [Accepted: 09/10/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with cortical and subcortical structural brain abnormalities. It is unclear whether such alterations progressively change over time, and how this is related to the number of mood episodes. To address this question, we analyzed a large and diverse international sample with longitudinal magnetic resonance imaging (MRI) and clinical data to examine structural brain changes over time in BD. METHODS Longitudinal structural MRI and clinical data from the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) BD Working Group, including 307 patients with BD and 925 healthy control subjects, were collected from 14 sites worldwide. Male and female participants, aged 40 ± 17 years, underwent MRI at 2 time points. Cortical thickness, surface area, and subcortical volumes were estimated using FreeSurfer. Annualized change rates for each imaging phenotype were compared between patients with BD and healthy control subjects. Within patients, we related brain change rates to the number of mood episodes between time points and tested for effects of demographic and clinical variables. RESULTS Compared with healthy control subjects, patients with BD showed faster enlargement of ventricular volumes and slower thinning of the fusiform and parahippocampal cortex (0.18 <d < 0.22). More (hypo)manic episodes were associated with faster cortical thinning, primarily in the prefrontal cortex. CONCLUSIONS In the hitherto largest longitudinal MRI study on BD, we did not detect accelerated cortical thinning but noted faster ventricular enlargements in BD. However, abnormal frontocortical thinning was observed in association with frequent manic episodes. Our study yields insights into disease progression in BD and highlights the importance of mania prevention in BD treatment.
Collapse
Affiliation(s)
- Christoph Abé
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden.
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Benny Liberg
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Alexander V Lebedev
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Agartz
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Theophilus N Akudjedu
- Institute of Medical Imaging and Visualisation, Bournemouth University, Bournemouth, United Kingdom; Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Bjørknes College, Oslo, Norway
| | - Silvia Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Michael Berk
- Orygen, the National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, the University of Melbourne, Melbourne, Victoria, Australia; Department of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Deakin University, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Erlend Bøen
- Unit of Psychosomatic and CL Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Caterina Del Mar Bonnin
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Fabian Breuer
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands; Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Erick J Canales-Rodríguez
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Signal Processing Laboratory, École polytechnique fédérale de Lausanne, Lausanne, Switzerland
| | - Dara M Cannon
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Yann Chye
- Turner Institute for Brain and Mental Health, School of Psychological Science and Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Andreas Dahl
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Orwa Dandash
- Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Lukas Fisch
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janice M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Jose M Goikolea
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tim Hahn
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Walter Heindel
- Clinic for Radiology, University of Münster, Münster, Germany
| | - Martin Ingvar
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital, Department of Neuroradiology, Stockholm, Sweden
| | - Kang Sim
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; West Region, Institute of Mental Health, Singapore, Singapore; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo T J Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | | | - Ulrik F Malt
- Department of Neurology, Oslo University Hospital, Oslo, Norway; Department of Psychiatry and Addiction, Section for C-L Psychiatry and Psychosomatics, Oslo University Hospital, Oslo, Norway
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Sean R McWhinney
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Elisa M T Melloni
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California; Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Bronwyn J Overs
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Francesco Panicalli
- Hospital general de Granollers, Barcelona, Spain; Benito Menni CASM, Barcelona, Spain
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Sara Poletti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Joaquim Radua
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Elena Rodriguez-Cano
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Benito Menni CASM, Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Kelvin Sarink
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; West Region, Institute of Mental Health, Singapore, Singapore; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Simon Schmitt
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany; Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Chao Suo
- Turner Institute for Brain and Mental Health, School of Psychological Science and Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Giulia Tronchin
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Adam G White
- Djavad Mowafaghian Centre for Brain Health, Vancouver, British Columbia, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathalia Zak
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Ole A Andreassen
- KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
9
|
Chen M, Chen G, Tian H, Dou G, Fang T, Cai Z, Cheng L, Chen S, Chen C, Ping J, Lin X, Chen C, Zhu J, Zhao F, Liu C, Yue W, Song X, Zhuo C. Brain Neural Activity Patterns in an Animal Model of Antidepressant-Induced Manic Episodes. Front Behav Neurosci 2022; 15:771975. [PMID: 35250499 PMCID: PMC8889145 DOI: 10.3389/fnbeh.2021.771975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/31/2021] [Indexed: 11/13/2022] Open
Abstract
Background: In the treatment of patients with bipolar disorder (BP), antidepressant-induced mania is usually observed. The rate of phase switching (from depressive to manic) in these patients exceeds 22%. The exploration of brain activity patterns during an antidepressant-induced manic phase may aid the development of strategies to reduce the phase-switching rate. The use of a murine model to explore brain activity patterns in depressive and manic phases can help us to understandthe pathological features of BP. The novel object recognition preference ratio is used to assess cognitive ability in such models. Objective: To investigate brain Ca2+ activity and behavioral expression in the depressive and manic phases in the same murine model, to aid understanding of brain activity patterns in phase switching in BP. Methods: In vivo two-photon imaging was used to observe brain activity alterations in a murine model in which induce depressive-like and manic-like behaviors were induced sequentially. The immobility time was used to assess depressive-like symptoms and the total distance traveled was used to assess manic-like symptoms. Results: In vivo two-photon imaging revealed significantly reduced brain Ca2+ activity in temporal cortex pyramidal neurons in the depressive phase in mice exposed to chronic unpredictable mild stress compared with naïve controls. The brain Ca2+ activity correlated negatively with the novel object recognition preference ratio within the immobility time. Significantly increased brain Ca2+ activity was observed in the ketamine-induced manic phase. However, this activity did not correlate with the total distance traveled. The novel object recognition preference ratio correlated negatively with the total distance traveled in the manic phase.
Collapse
Affiliation(s)
- Min Chen
- Micro-imaging Center of Psychiatric Disorder, Institute of Mental Health, Jining Medical University, Jining, China
| | - Guangdong Chen
- Center of Psychiatric Animal Model, Institute of Mental Health, Wenzhou Seventh Peoples Hospital, Wenzhou, China
- Department of Psychiatry Medical Center, Wenzhou Seventh Peoples Hospital, Wenzhou, China
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Hongjun Tian
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Guangqian Dou
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Tao Fang
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Ziyao Cai
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Langlang Cheng
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Suling Chen
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Ce Chen
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jing Ping
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Xiaodong Lin
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chunmian Chen
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jingjing Zhu
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Feifei Zhao
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chuanxin Liu
- Micro-imaging Center of Psychiatric Disorder, Institute of Mental Health, Jining Medical University, Jining, China
| | - Weihua Yue
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- *Correspondence: Chuanjun Zhuo Weihua Yue Xueqin Song
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Chuanjun Zhuo Weihua Yue Xueqin Song
| | - Chuanjun Zhuo
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Chuanjun Zhuo Weihua Yue Xueqin Song
| |
Collapse
|
10
|
Keramatian K, Chakrabarty T, Saraf G, Yatham LN. Transitioning to bipolar disorder: A systematic review of prospective high-risk studies. Curr Opin Psychiatry 2022; 35:10-21. [PMID: 34812740 DOI: 10.1097/yco.0000000000000762] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Bipolar disorder is a highly heritable condition, which can progress from an asymptomatic period in at-risk individuals to a potentially debilitating illness. Identifying individuals who are at a high risk of developing bipolar disorder may provide an opportunity for early intervention to improve outcomes. The main objective of this systematic review is to provide an overview of prospective studies that evaluated the incidence and predictors of transitioning to bipolar disorder among high-risk individuals. RECENT FINDINGS Twenty-three publications from 16 cohorts were included in the final review. Most studies focused on familial high-risk groups, while others either used clinical or a combination of clinical and genetic risk factors. The follow-up length was from 1 to 21 years and the rate of conversion to bipolar disorder was between 8 and 25% among different studies. Overall, the results suggest that a combination of genetic and clinical risk factors; namely, subthreshold (hypo)manic symptoms and elevated depressive symptoms, may be required to optimally predict conversion to bipolar disorder. SUMMARY The concept of high-risk for bipolar disorder is still in its infancy. Further discussions are needed to work towards an expert consensus on the high-risk criteria for bipolar disorder, taking into account both clinical and genetic risk factors.
Collapse
Affiliation(s)
- Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | |
Collapse
|
11
|
Calcium imaging reveals depressive- and manic-phase-specific brain neural activity patterns in a murine model of bipolar disorder: a pilot study. Transl Psychiatry 2021; 11:619. [PMID: 34876553 PMCID: PMC8651770 DOI: 10.1038/s41398-021-01750-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/18/2021] [Accepted: 11/29/2021] [Indexed: 12/25/2022] Open
Abstract
Brain pathological features during manic/hypomanic and depressive episodes in the same patients with bipolar disorder (BPD) have not been described precisely. The study aimed to investigate depressive and manic-phase-specific brain neural activity patterns of BPD in the same murine model to provide information guiding investigation of the mechanism of phase switching and tailored prevention and treatment for patients with BPD. In vivo two-photon imaging was used to observe brain activity alterations in the depressive and manic phases in the same murine model of BPD. Two-photon imaging showed significantly reduced Ca2+ activity in temporal cortex pyramidal neurons in the depression phase in mice exposed to chronic unpredictable mild stress (CUMS), but not in the manic phase in mice exposed to CUMS and ketamine. Total integrated calcium values correlated significantly with immobility times. Brain Ca2+ hypoactivity was observed in the depression and manic phases in the same mice exposed to CUMS and ketamine relative to naïve controls. The novel object recognition preference ratio correlated negatively with the immobility time in the depression phase and the total distance traveled in the manic phase. With recognition of its limitations, this study revealed brain neural activity impairment indicating that intrinsic emotional network disturbance is a mechanism of BPD and that brain neural activity is associated with cognitive impairment in the depressive and manic phases of this disorder. These findings are consistent with those from macro-imaging studies of patients with BPD. The observed correlation of brain neural activity with the severity of depressive, but not manic, symptoms need to be investigated further.
Collapse
|
12
|
Wen K, Zhao Y, Gong Q, Zhu Z, Li Q, Pan N, Fu S, Radua J, Vieta E, Kumar P, Kemp GJ, Biswal BB. Cortical thickness abnormalities in patients with first episode psychosis: a meta-analysis of psychoradiologic studies and replication in an independent sample. PSYCHORADIOLOGY 2021; 1:185-198. [PMID: 35156043 PMCID: PMC8826222 DOI: 10.1093/psyrad/kkab015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/14/2021] [Accepted: 11/17/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Abnormalities of cortical thickness (CTh) in patients with their first episode psychosis (FEP) have been frequently reported, but findings are inconsistent. OBJECTIVE To define the most consistent CTh changes in patients with FEP by meta-analysis of published whole-brain studies. METHODS The meta-analysis used seed-based d mapping (SDM) software to obtain the most prominent regional CTh changes in FEP, and meta-regression analyses to explore the effects of demographics and clinical characteristics. The meta-analysis results were verified in an independent sample of 142 FEP patients and 142 age- and sex-matched healthy controls (HCs), using both a vertex-wise and a region of interest analysis, with multiple comparisons correction. RESULTS The meta-analysis identified lower CTh in the right middle temporal cortex (MTC) extending to superior temporal cortex (STC), insula, and anterior cingulate cortex (ACC) in FEP compared with HCs. No significant correlations were identified between CTh alterations and demographic or clinical variables. These results were replicated in the independent dataset analysis. CONCLUSION This study identifies a robust pattern of cortical abnormalities in FEP and extends understanding of gray matter abnormalities and pathological mechanisms in FEP.
Collapse
Affiliation(s)
- Keren Wen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Youjin Zhao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu 610041, Sichuan, China
| | - Ziyu Zhu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Qian Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Nanfang Pan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Shiqin Fu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona 08036, Catalonia, Spain
- Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Solna 171-77, Stockholm, Sweden
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London WC2R 2LS, UK
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona 08036, Catalonia, Spain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona 08036, Catalonia, Spain
| | - Poornima Kumar
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont 02478, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston 02115, MA, USA
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3GE, UK
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark 07102, NJ, USA
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China
| |
Collapse
|
13
|
Mikolas P, Bröckel K, Vogelbacher C, Müller DK, Marxen M, Berndt C, Sauer C, Jung S, Fröhner JH, Fallgatter AJ, Ethofer T, Rau A, Kircher T, Falkenberg I, Lambert M, Kraft V, Leopold K, Bechdolf A, Reif A, Matura S, Stamm T, Bermpohl F, Fiebig J, Juckel G, Flasbeck V, Correll CU, Ritter P, Bauer M, Jansen A, Pfennig A. Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest disease. Transl Psychiatry 2021; 11:485. [PMID: 34545071 PMCID: PMC8452775 DOI: 10.1038/s41398-021-01598-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/06/2021] [Accepted: 08/25/2021] [Indexed: 02/08/2023] Open
Abstract
In psychiatry, there has been a growing focus on identifying at-risk populations. For schizophrenia, these efforts have led to the development of early recognition and intervention measures. Despite a similar disease burden, the populations at risk of bipolar disorder have not been sufficiently characterized. Within the BipoLife consortium, we used magnetic resonance imaging (MRI) data from a multicenter study to assess structural gray matter alterations in N = 263 help-seeking individuals from seven study sites. We defined the risk using the EPIbipolar assessment tool as no-risk, low-risk, and high-risk and used a region-of-interest approach (ROI) based on the results of two large-scale multicenter studies of bipolar disorder by the ENIGMA working group. We detected significant differences in the thickness of the left pars opercularis (Cohen's d = 0.47, p = 0.024) between groups. The cortex was significantly thinner in high-risk individuals compared to those in the no-risk group (p = 0.011). We detected no differences in the hippocampal volume. Exploratory analyses revealed no significant differences in other cortical or subcortical regions. The thinner cortex in help-seeking individuals at risk of bipolar disorder is in line with previous findings in patients with the established disorder and corresponds to the region of the highest effect size in the ENIGMA study of cortical alterations. Structural alterations in prefrontal cortex might be a trait marker of bipolar risk. This is the largest structural MRI study of help-seeking individuals at increased risk of bipolar disorder.
Collapse
Affiliation(s)
- Pavol Mikolas
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany.
| | - Kyra Bröckel
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Christoph Vogelbacher
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Dirk K. Müller
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Neuroimaging Center, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Michael Marxen
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Christina Berndt
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Cathrin Sauer
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Stine Jung
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Juliane Hilde Fröhner
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany ,grid.4488.00000 0001 2111 7257Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Andreas J. Fallgatter
- grid.10392.390000 0001 2190 1447Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Thomas Ethofer
- grid.10392.390000 0001 2190 1447Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department for Biomedical Resonance, University of Tübingen, Tübingen, Germany
| | - Anne Rau
- grid.10392.390000 0001 2190 1447Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Irina Falkenberg
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Martin Lambert
- grid.13648.380000 0001 2180 3484Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Vivien Kraft
- grid.13648.380000 0001 2180 3484Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Karolina Leopold
- grid.6363.00000 0001 2218 4662Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Vivantes Hospital Am Urban and Vivantes Hospital Im Friedrichshain, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Bechdolf
- grid.6363.00000 0001 2218 4662Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Vivantes Hospital Am Urban and Vivantes Hospital Im Friedrichshain, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Silke Matura
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Thomas Stamm
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany ,grid.473452.3Department of Clinical Psychiatry and Psychotherapy, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany
| | - Felix Bermpohl
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jana Fiebig
- grid.6363.00000 0001 2218 4662Department of Psychiatry and Neurosciences, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Georg Juckel
- grid.5570.70000 0004 0490 981XDepartment of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, Bochum, Germany
| | - Vera Flasbeck
- grid.5570.70000 0004 0490 981XDepartment of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, Bochum, Germany
| | - Christoph U. Correll
- grid.6363.00000 0001 2218 4662Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany ,grid.440243.50000 0004 0453 5950Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, NY USA ,grid.512756.20000 0004 0370 4759Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY USA
| | - Philipp Ritter
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Michael Bauer
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| | - Andreas Jansen
- grid.10253.350000 0004 1936 9756Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry, University of Marburg, Marburg, Germany ,grid.8664.c0000 0001 2165 8627Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Andrea Pfennig
- grid.412282.f0000 0001 1091 2917Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany
| |
Collapse
|
14
|
Sheng L, Ma H, Dai Z, Yao L, Hu J. Is first episode mania associated with grey matter abnormalities? We are not sure! Bipolar Disord 2021; 23:409-410. [PMID: 33511750 DOI: 10.1111/bdi.13048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 12/22/2020] [Accepted: 01/21/2021] [Indexed: 11/30/2022]
Affiliation(s)
- LiQin Sheng
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, PR China
| | - HaiRong Ma
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, PR China
| | - ZhenYu Dai
- Department of Radiology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| | - LiZheng Yao
- Department of Radiology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| | - JianBin Hu
- Department of Radiology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China
| |
Collapse
|
15
|
Levenberg K, Hajnal A, George DR, Saunders EFH. Prolonged functional cerebral asymmetry as a consequence of dysfunctional parvocellular paraventricular hypothalamic nucleus signaling: An integrative model for the pathophysiology of bipolar disorder. Med Hypotheses 2020; 146:110433. [PMID: 33317848 DOI: 10.1016/j.mehy.2020.110433] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/14/2020] [Accepted: 11/24/2020] [Indexed: 01/09/2023]
Abstract
Approximately 45 million people worldwide are diagnosed with bipolar disorder (BD). While there are many known risk factors and models of the pathologic processes influencing BD, the exact neurologic underpinnings of BD are unknown. We attempt to integrate the existing literature and create a unifying hypothesis regarding the pathophysiology of BD with the hope that a concrete model may potentially facilitate more specific diagnosis, prevention, and treatment of BD in the future. We hypothesize that dysfunctional signaling from the parvocellular neurons of the paraventricular hypothalamic nucleus (PVN) results in the clinical presentation of BD. Functional damage to this nucleus and its signaling pathways may be mediated by myriad factors (e.g. immune dysregulation and auto-immune processes, polygenetic variation, dysfunctional interhemispheric connections, and impaired or overactivated hypothalamic axes) which could help explain the wide variety of clinical presentations along the BD spectrum. The neurons of the PVN regulate ultradian rhythms, which are observed in cyclic variations in healthy individuals, and mediate changes in functional hemispheric lateralization. Theoretically, dysfunctional PVN signaling results in prolonged functional hemispheric dominance. In this model, prolonged right hemispheric dominance leads to depressive symptoms, whereas left hemispheric dominance correlated to the clinical picture of mania. Subsequently, physiologic processes that increase signaling through the PVN (hypothalamic-pituitaryadrenal axis, hypothalamic- pituitary-gonadal axis, and hypothalamic-pituitary-thyroid axis activity, suprachiasmatic nucleus pathways) as well as, neuro-endocrine induced excito-toxicity, auto-immune and inflammatory flairs may induce mood episodes in susceptible individuals. Potentially, ultradian rhythms slowing with age, in combination with changes in hypothalamic axes and maturation of neural circuitry, accounts for BD clinically presenting more frequently in young adulthood than later in life.
Collapse
Affiliation(s)
- Kate Levenberg
- College of Medicine, Penn State University College of Medicine, State College, USA.
| | - Andras Hajnal
- Neural & Behavioral Sciences, Penn State University College of Medicine, State College, USA
| | - Daniel R George
- Department of Humanities, Penn State University College of Medicine, Hershey, USA
| | - Erika F H Saunders
- Psychiatry and Behavioral Health, Penn State University College of Medicine, State College, USA
| |
Collapse
|