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Wang R, Wang C, Zhang G, Mundinano IC, Zheng G, Xiao Q, Zhong Y. Causal mechanisms of quadruple networks in pediatric bipolar disorder. Psychol Med 2024; 54:1-12. [PMID: 39679552 PMCID: PMC11769912 DOI: 10.1017/s0033291724002885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 08/12/2024] [Accepted: 10/22/2024] [Indexed: 12/17/2024]
Abstract
BACKGROUND Pediatric bipolar disorder (PBD) is characterized by abnormal functional connectivity among distributed brain regions. Increasing evidence suggests a role for the limbic network (LN) and the triple network model in the pathophysiology of bipolar disorder (BD). However, the specific relationship between the LN and the triple network in PBD remains unclear. This study aimed to investigate the aberrant causal connections among these four core networks in PBD. METHOD Resting-state functional MRI scans from 92 PBD patients and 40 healthy controls (HCs) were analyzed. Dynamic Causal Modeling (DCM) was employed to assess effective connectivity (EC) among the four core networks. Parametric empirical Bayes (PEB) analysis was conducted to identify ECs associated with group differences, as well as depression and mania severity. Leave-one-out cross-validation (LOOCV) was used to test predictive accuracy. RESULT Compared to HCs, PBD patients exhibited primarily excitatory bottom-up connections from the LN to the salience network (SN) and bidirectional excitatory connections between the default mode network (DMN) and SN. In PBD, top-down connectivity from the triple network to the LN was excitatory in individuals with higher depression severity but inhibitory in those with higher mania severity. LOOCV identified dysconnectivity circuits involving the caudate and hippocampus as being associated with mania and depression severity, respectively. CONCLUSIONS Disrupted bottom-up connections from the LN to the triple network distinguish PBD patients from healthy controls, while top-down disruptions from the triple network to LN relate to mood state differences. These findings offer insight into the neural mechanisms of PBD.
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Affiliation(s)
- Rong Wang
- School of Psychology, Nanjing Normal University, Nanjing 210097, China
| | - Chun Wang
- Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China
| | - Gui Zhang
- School of Psychology, Nanjing Normal University, Nanjing 210097, China
| | - Inaki-Carril Mundinano
- Cognitive Neuroscience Laboratory, Department of Physiology and Neuroscience Program, Biomedicine Discovery Institute, Monash University, Victoria 3800, Australia
| | - Gang Zheng
- Monash Biomedical Imaging, Monash University, Victoria 3800, Australia
| | - Qian Xiao
- Mental Health Centre of Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing 210097, China
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2
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Gurok MG, Aksoy DB, Mermi O, Korkmaz S, Tabara MF, Yildirim H, Atmaca M. Hippocampus and amygdala volumes are reduced in patients with schizoaffective disorder. Psychiatry Res Neuroimaging 2024; 342:111840. [PMID: 38875767 DOI: 10.1016/j.pscychresns.2024.111840] [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: 03/21/2024] [Revised: 05/16/2024] [Accepted: 06/04/2024] [Indexed: 06/16/2024]
Abstract
We aimed to examine the hippocampus and amygdala volumes in patients with schizoaffective disorder with the notion that schizoaffective disorder has strong resemblance of clinical presentation with schizophrenia and bipolar disorder and that there have been studies on regions of interest volumes in patients with schizophrenia and bipolar disorder but not in patients with schizoaffective disorder. Eighteen patients with schizoaffective disorder and nineteen healthy controls were included into the study. Hippocampus and amygdala volumes were examined by using the MRI. Both hippocampus and amygdala volumes were statistically significantly reduced in patients with schizoaffective disorder compared to those of the healthy control comparisons (p<0.001 for the hippocampus and p<0.001 for the amygdala). In summary, our findings of the present study suggest that patients with schizoaffective disorder seem to have smaller volumes of the hippocampus and amygdala regions and that our results were in accordance with those obtained both in patients with schizophrenia and bipolar disorder, considering that schizoaffective disorder might have neuroanatomic similarities with both schizophrenia and bipolar disorder. Beacuse of some limitations aforementioned especially age, it is required to replicate our present results in this patient group.
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Affiliation(s)
- M Gurkan Gurok
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | - Dilek Bakis Aksoy
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey
| | - Osman Mermi
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | - Sevda Korkmaz
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | | | - Hanefi Yildirim
- Firat University School of Medicine Department of Radiology, Elazig, Turkey.
| | - Murad Atmaca
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
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3
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Rosa JPD, Sandrini IG, Possamai-Della T, Aguiar-Geraldo JM, Machado-Laureano ML, Zugno AI, Quevedo J, Valvassori SS. Effects of paradoxical sleep deprivation on oxidative parameters in the serum and brain of mice submitted to the animal model of hyperglycemia. Behav Brain Res 2024; 467:115008. [PMID: 38657839 DOI: 10.1016/j.bbr.2024.115008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/13/2024] [Accepted: 04/21/2024] [Indexed: 04/26/2024]
Abstract
The present study aimed to investigate the effects of paradoxical sleep deprivation (PSD) on behavioral and oxidative stress parameters in the brain and serum of mice submitted to the animal model of hyperglycemia induced by alloxan, mimicking the main symptom of diabetes mellitus (DM). Adults C57BL/6 male and female mice received an injection of alloxan, and ten days later, the animals were submitted to the PSD for 36 h. The animals' behavioral parameters were evaluated in the open-field test. Oxidative stress parameters [Diacetyldichlorofluorescein (DCF), Thiobarbituric acid reactive substances (TBARS), Superoxide dismutase (SOD), and Glutathione] were assessed in the frontal cortex, hippocampus, striatum, and serum. The PSD increased the male and female mice locomotion, but the alloxan's pre-administration prevented the PSD-induced hyperactivity. In addition, the male mice receiving alloxan and submitted to the PSD had elevated latency time in the first quadrant and the number of fecal boli, demonstrating increased anxiety-like behavior. The HPA-axis was hyperactivating in male and female mice pre-administered alloxan and/or PSD-submitted animals. The oxidative stress parameters were also increased in the serum of the animals administered alloxan and/or sleep-deprived mice. Despite alloxan or PSD leading to behavioral or biochemical alterations, the one did not potentiate the other in mice. However, more studies are necessary to identify the link between sleep and hyperglycemia.
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Affiliation(s)
- Júlia Panato-Da Rosa
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Isadora Gava Sandrini
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Taise Possamai-Della
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Jorge M Aguiar-Geraldo
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Maria Luísa Machado-Laureano
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Alexandra I Zugno
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - João Quevedo
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil; Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Center for Interventional Psychiatry, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA
| | - Samira S Valvassori
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil.
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4
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Chrobak AA, Siuda-Krzywicka K, Soltys Z, Bielak S, Nowaczek D, Żyrkowska A, Fafrowicz M, Marek T, Pęcherzewska E, Kużdżał J, Starowicz-Filip A, Gorostowicz A, Dudek D, Siwek M. When practice does not make a perfect - paradoxical learning curve in schizophrenia and bipolar disorder revealed by different serial reaction time task variants. Front Psychiatry 2023; 14:1238473. [PMID: 37766926 PMCID: PMC10521726 DOI: 10.3389/fpsyt.2023.1238473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 08/16/2023] [Indexed: 09/29/2023] Open
Abstract
Introduction Our previous studies identified a paradoxical implicit motor learning curve in schizophrenia (SZ) and bipolar disorder (BD) patients. This study aimed to verify whether those previously observed deficits may be captured by a new version of the ambidextrous serial reaction time task (SRTT), prepared for use in the MRI. Methods This study involved 186 participants. A total of 97 participants (33 BD, 33 SZ, and 31 healthy controls, HCs) completed the original, unlimited time response variant of SRTT. A total of 90 individuals (30 BD, 30 SZ, and 30 HCs) underwent a newer, limited response time version of this procedure. Results There was no significant difference in terms of implicit motor learning indices between both limited and unlimited response time SRTT. Compared to HCs, SZ, and BD patients presented decreased indices of implicit motor learning. Both clinical groups showed a paradoxical learning pattern that differed significantly from the HCs. Moreover, in the SZ group, the pattern depended on the hand performing SRTT. Discussion The limited response time SRTT variant allowed us to replicate the findings of disrupted implicit motor learning in SZ and BD. The use of this paradigm in further neuroimaging studies may help to determine the neuronal underpinnings of this cognitive dysfunction in the abovementioned clinical groups.
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Affiliation(s)
| | | | - Zbigniew Soltys
- Laboratory of Experimental Neuropathology, Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland
| | - Sylwia Bielak
- Department of Adult, Child and Adolescent Psychiatry, University Hospital in Cracow, Kraków, Poland
| | | | - Aleksandra Żyrkowska
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Kraków, Poland
- Doctoral School in the Social Sciences, Jagiellonian University, Kraków, Poland
| | - Magdalena Fafrowicz
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Kraków, Poland
| | - Tadeusz Marek
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Katowice, Poland
| | | | - Jan Kużdżał
- Malopolska Centre of Biotechnology, Kraków, Poland
| | - Anna Starowicz-Filip
- Medical Psychology Department, Jagiellonian University Medical College, Kraków, Poland
| | | | - Dominika Dudek
- Department of Adult Psychiatry, Jagiellonian University Medical College, Kraków, Poland
| | - Marcin Siwek
- Department of Affective Disorders, Jagiellonian University Medical College, Kraków, Poland
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5
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Aminoff SR, Onyeka IN, Ødegaard M, Simonsen C, Lagerberg TV, Andreassen OA, Romm KL, Melle I. Lifetime and point prevalence of psychotic symptoms in adults with bipolar disorders: a systematic review and meta-analysis. Psychol Med 2022; 52:2413-2425. [PMID: 36016504 PMCID: PMC9647517 DOI: 10.1017/s003329172200201x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 05/14/2022] [Accepted: 06/14/2022] [Indexed: 12/24/2022]
Abstract
Psychotic symptoms, that we defined as delusions or hallucinations, are common in bipolar disorders (BD). This systematic review and meta-analysis aims to synthesise the literature on both lifetime and point prevalence rates of psychotic symptoms across different BD subtypes, including both BD type I (BDI) and BD type II (BDII). We performed a systematic search of Medline, PsycINFO, Embase and Cochrane Library until 5 August 2021. Fifty-four studies (N = 23 461) of adults with BD met the predefined inclusion criteria for evaluating lifetime prevalence, and 24 studies (N = 6480) for evaluating point prevalence. Quality assessment and assessment of publication bias were performed. Prevalence rates were calculated using random effects meta-analysis, here expressed as percentages with a 95% confidence interval (CI). In studies of at least moderate quality, the pooled lifetime prevalence of psychotic symptoms in BDI was 63% (95% CI 57.5-68) and 22% (95% CI 14-33) in BDII. For BDI inpatients, the pooled lifetime prevalence was 71% (95% CI 61-79). There were no studies of community samples or inpatient BDII. The pooled point prevalence of psychotic symptoms in BDI was 54% (95 CI 41-67). The point prevalence was 57% (95% CI 47-66) in manic episodes and 13% (95% CI 7-23.5) in depressive episodes. There were not enough studies in BDII, BDI depression, mixed episodes and outpatient BDI. The pooled prevalence of psychotic symptoms in BDI may be higher than previously reported. More studies are needed for depressive and mixed episodes and community samples.Prospero registration number: CRD 42017052706.
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Affiliation(s)
- S. R. Aminoff
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - I. N. Onyeka
- Department of Psychology, Sociology & Politics, Sheffield Hallam University, Sheffield, UK
| | - M. Ødegaard
- University of Oslo Library, University of Oslo, Oslo, Norway
| | - C. Simonsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - T. V. Lagerberg
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - O. A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - K. L. Romm
- Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - I. Melle
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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6
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Chrobak AA, Siuda-Krzywicka K, Sołtys Z, Siwek GP, Bohaterewicz B, Sobczak AM, Ceglarek A, Tereszko A, Starowicz-Filip A, Fąfrowicz M, Marek T, Siwek M, Dudek D. Relationship between neurological and cerebellar soft signs, and implicit motor learning in schizophrenia and bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110137. [PMID: 33053417 DOI: 10.1016/j.pnpbp.2020.110137] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 08/22/2020] [Accepted: 10/06/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Schizophrenia (SZ) and bipolar disorder (BD) patients share deficits in motor functions in the form of neurological (NSS) and cerebellar soft signs (CSS), and implicit motor learning disturbances. Here, we use cluster analysis method to assess (1) the relationship between those abnormalities in SZ and BD and (2) the differences between those groups. METHODS 33 SZ patients, 33 BD patients as well as 31 healthy controls (HC) took part in the study. We assessed CSS with the International Cooperative Ataxia Rating Scale (ICARS) and NSS with the Neurological Evaluation Scale (NES). Implicit motor learning was evaluated with the Serial Reaction Time Task (SRTT). Participants were divided into clusters (Ward's method) based on the mean response time and mean error rate in SRTT. The difference in ICARS and NES scores, and SRTT variables between clusters were evaluated. We have measured associations between SRTT parameters and both ICARS and NES total scores and subscores. RESULTS Cluster analysis based on the SRTT parameters allowed to extract three clusters. Those were characterized by the increasing disruption of motor functioning (psychomotor retardation, the severity of NSS and CSS) regardless of the diagnosis. Cluster 1 covered almost all of HC and was characterized by faster reaction times and small number of errors. BD and SZ patients represented in cluster 1, although fully functional in performing the SRTT, showed higher rates of NSS and CSS. Patients with BD and SZ were set apart in clusters 2 and 3 in a similar proportion. Cluster 2 presented significantly slower reaction times but with the comparable number of errors to cluster 1. Cluster 3 consisted of participants with normal or decreased reaction time and significantly increased number of errors. None of the clusters were predominantly composed of the patients representing one psychiatric diagnosis. CONCLUSIONS To our best knowledge, we are presenting the first data indicating the relationship between implicit motor learning and NSS and CSS in SZ and BD patients' groups. Lack of clusters predominantly represented by patients with the diagnosis of SZ or BD may refer to the model of schizophrenia-bipolar disorder boundary, pointing out the similarities between those two disorders.
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Affiliation(s)
- Adrian Andrzej Chrobak
- Department of Adult Psychiatry, Jagiellonian University Medical College, Cracow, Poland.
| | - Katarzyna Siuda-Krzywicka
- Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Hôpital de la Pitie´ -Salpêtrière, 75013 Paris, France
| | - Zbigniew Sołtys
- Jagiellonian University, Institute of Zoology and Biomedical Research, Department of Neuroanatomy, Cracow, Poland
| | | | - Bartosz Bohaterewicz
- Jagiellonian University, Department of Cognitive Neuroscience and Neuroergonomics, Cracow, Poland
| | - Anna Maria Sobczak
- Jagiellonian University, Department of Cognitive Neuroscience and Neuroergonomics, Cracow, Poland
| | - Anna Ceglarek
- Jagiellonian University, Department of Cognitive Neuroscience and Neuroergonomics, Cracow, Poland
| | - Anna Tereszko
- Department of Psychiatry, Jagiellonian University Medical College, Cracow, Poland
| | - Anna Starowicz-Filip
- Medical Psychology Department, Jagiellonian University Medical College, Cracow, Poland
| | - Magdalena Fąfrowicz
- Jagiellonian University, Department of Cognitive Neuroscience and Neuroergonomics, Cracow, Poland
| | - Tadeusz Marek
- Jagiellonian University, Department of Cognitive Neuroscience and Neuroergonomics, Cracow, Poland
| | - Marcin Siwek
- Department of Affective Disorders, Jagiellonian University Medical College, Cracow, Poland
| | - Dominika Dudek
- Department of Adult Psychiatry, Jagiellonian University Medical College, Cracow, Poland
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7
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Myznikov A, Zheltyakova M, Korotkov A, Kireev M, Masharipov R, Jagmurov OD, Habel U, Votinov M. Neuroanatomical Correlates of Social Intelligence Measured by the Guilford Test. Brain Topogr 2021; 34:337-347. [PMID: 33866460 PMCID: PMC8099826 DOI: 10.1007/s10548-021-00837-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 03/30/2021] [Indexed: 02/07/2023]
Abstract
Social interactions are a crucial aspect of human behaviour. Numerous neurophysiological studies have focused on socio-cognitive processes associated with the so-called theory of mind-the ability to attribute mental states to oneself and others. Theory of mind is closely related to social intelligence defined as a set of abilities that facilitate effective social interactions. Social intelligence encompasses multiple theory of mind components and can be measured by the Four Factor Test of Social Intelligence (the Guilford-Sullivan test). However, it is unclear whether the differences in social intelligence are reflected in structural brain differences. During the experiment, 48 healthy right-handed individuals completed the Guilford-Sullivan test. T1-weighted structural MRI images were obtained for all participants. Voxel-based morphometry analysis was performed to reveal grey matter volume differences between the two groups (24 subjects in each)-with high social intelligence scores and with low social intelligence scores, respectively. Participants with high social intelligence scores had larger grey matter volumes of the bilateral caudate. The obtained results suggest the caudate nucleus involvement in the neural system of socio-cognitive processes, reflected by its structural characteristics.
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Affiliation(s)
- A Myznikov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - M Zheltyakova
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - A Korotkov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - M Kireev
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
- Saint Petersburg State University, Saint-Petersburg, Russia
| | - R Masharipov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - O Dz Jagmurov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia
| | - U Habel
- Institute of Neuroscience and Medicine 10, Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - M Votinov
- N.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
- Institute of Neuroscience and Medicine 10, Research Centre Jülich, Jülich, Germany.
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8
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Grey and white matter alteration in euthymic children with bipolar disorder: a combined source-based morphometry (SBM) and voxel-based morphometry (VBM) study. Brain Imaging Behav 2021; 16:22-30. [PMID: 33846953 DOI: 10.1007/s11682-021-00473-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 03/18/2021] [Indexed: 01/01/2023]
Abstract
Bipolar disorder (BPD) is a psychiatric condition driving frequent mood swings between periodic extremes of happiness and depression in patients. In this study, a source-based morphometry (SBM) and voxel-based morphometry (VBM) analysis was utilized to measure the differences in the white matter (WM) and grey matter (GM) between euthymic children with BPD and typically developing (TD) children. We adapted both multivariate (SBM) and univariate (VBM) analysis in 20 children with BPD euthymia /remission and compared to the same number of TD age-matched children. The VBM did not reveal any increase in GM and WM voxel values in children with BPD. However, a decrease in the GM voxel values in the bilateral middle frontal and WM voxels in the left hippocampus, left caudate, left orbitofrontal and right inferior parietal cortices was identified. Conversely, SBM analysis in BPD displayed a high GM value in bilateral angular gyrus, bilateral inferior temporal, left supplementary motor area and left middle temporal region, while a low value was observed in left inferior and middle occipital, cerebellum, thalamus, left premotor area and left lingual gyrus. These findings suggested a crucial GM and WM alteration in multiple neural regions in BPD children even during sustained and substantial remission.
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9
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Scaini G, Valvassori SS, Diaz AP, Lima CN, Benevenuto D, Fries GR, Quevedo J. Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings. ACTA ACUST UNITED AC 2020; 42:536-551. [PMID: 32267339 PMCID: PMC7524405 DOI: 10.1590/1516-4446-2019-0732] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/27/2019] [Indexed: 01/10/2023]
Abstract
Bipolar disorder (BD) is a chronic mental illness characterized by changes in mood that alternate between mania and hypomania or between depression and mixed states, often associated with functional impairment. Although effective pharmacological and non-pharmacological treatments are available, several patients with BD remain symptomatic. The advance in the understanding of the neurobiology underlying BD could help in the identification of new therapeutic targets as well as biomarkers for early detection, prognosis, and response to treatment in BD. In this review, we discuss genetic, epigenetic, molecular, physiological and neuroimaging findings associated with the neurobiology of BD. Despite the advances in the pathophysiological knowledge of BD, the diagnosis and management of the disease are still essentially clinical. Given the complexity of the brain and the close relationship between environmental exposure and brain function, initiatives that incorporate genetic, epigenetic, molecular, physiological, clinical, environmental data, and brain imaging are necessary to produce information that can be translated into prevention and better outcomes for patients with BD.
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Affiliation(s)
- Giselli Scaini
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Samira S Valvassori
- Laboratório de Psiquiatria Translacional, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil
| | - Alexandre P Diaz
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Center of Excellence on Mood Disorders Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, UTHealth, Houston, TX, USA
| | - Camila N Lima
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Deborah Benevenuto
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Gabriel R Fries
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Center for Precision Health, School of Biomedical Informatics, UTHealth, Houston, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, UTHealth, Houston, TX, USA
| | - Joao Quevedo
- Translational Psychiatry Program Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Laboratório de Psiquiatria Translacional, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil.,Center of Excellence on Mood Disorders Louis A. Faillace, Department of Psychiatry and Behavioral Sciences at McGovern Medical School, UTHealth, Houston, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, UTHealth, Houston, TX, USA
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10
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Vecchio D, Piras F, Piras F, Banaj N, Janiri D, Simonetti A, Sani G, Spalletta G. Lithium treatment impacts nucleus accumbens shape in bipolar disorder. Neuroimage Clin 2020; 25:102167. [PMID: 31972398 PMCID: PMC6974785 DOI: 10.1016/j.nicl.2020.102167] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 01/08/2020] [Accepted: 01/09/2020] [Indexed: 12/12/2022]
Abstract
The effects of lithium treatment duration on deep grey matter structures in bipolar disorder are not well known. In this cross-sectional neuroimaging case-control study, we tested the hypothesis that shape characteristics of deep grey matter structures in bipolar disorder are associated with the duration of lithium treatment and with clinical phenomenology. In a setting of neuropsychiatry outpatient clinic, we included 74 patients with bipolar disorder (BD) and 74 matched healthy control subjects (HC). Both groups underwent a Magnetic Resonance Imaging acquisition and an exhaustive assessment of clinical and psychiatrics dimensions. Shape measures of seven deep grey matter structures (hippocampus, amygdala, caudate, nucleus accumbens, putamen, globus pallidus and thalamus) were obtained from T1 weighted images in both groups, using FSL FIRST segmentation tool. The segmented structures were then analysed vertex-by-vertex with FSL Randomise tool. First, we investigated the presence of significant associations between the duration of lithium treatment and shape measures in BD sample. Then, for structures that resulted significantly associated with the duration of lithium treatment, comparisons between BD and HC were performed either considering the BD group as a whole or dividing it in three groups based on the duration of treatment (lithium drug-naïve, short and long treated). Any deformation uncovered by group comparisons was subsequently associated with depressive and hypomanic/manic symptoms. The relationship between structures shape and the duration of lithium treatment in BD sample was significant for bilateral nucleus accumbens. Specifically, significant bilateral extroflection effects, related to longer duration of lithium treatment, were found bilaterally over the surface shape of core accumbens nuclei (r2R-Accu-Core = 0.12, p = 0.016, r2L-Accu-Core = 0.1, p = 0.031). Moreover, introflection effect related to longer duration of treatment resulted over the shell of right accumbens (r2R-Accu-Shell = 0.17, p = 0.002). Nucleus accumbens shape did not differ between BD and HC considering BD group as a whole. By contrast, categorizing BD in subgroups as a function of the duration of lithium treatment revealed significant inward deformation on the core of left accumbens nucleus and outward deformation on the shell of the right accumbens nucleus in lithium-naive patients, compared to both patients with long duration of lithium treatment (pL-Accu-Core = 0.016, pR-Accu-Shell = 0.005) and HC (pL-Accu-Core = 0.002; pR-Accu-Shell = 0.005). Moreover, compared to HC, inward deformation on the core of the left accumbens surface was found for patients with short duration of treatment (pLAccu-Core = 0.027). Finally, measures of surface deformation on the core of left accumbens observed in the group comparison showed significant positive correlations with depressive symptoms severity, as assessed by the Hamilton Depression Rating Scale (total score: r2L-AccuCore = 0.07, p = 0.02, somatic score: r2L-Accu-Core = 0.1, p = 0.005) and Beck Hopelessness Scale (r2LAccu-Core = 0.05, p = 0.03). Findings demonstrate that lithium untreated BD patients are characterised by localized shape abnormalities in the nucleus accumbens. Lithium treatment could act modulating these morphometric features as part of its mechanism of action in mood stabilizing.
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Affiliation(s)
- Daniela Vecchio
- IRCCS Santa Lucia Foundation, Neuropsychiatry Laboratory, Via Ardeatina 306, 00179 Rome, Italy
| | - Fabrizio Piras
- IRCCS Santa Lucia Foundation, Neuropsychiatry Laboratory, Via Ardeatina 306, 00179 Rome, Italy.
| | - Federica Piras
- IRCCS Santa Lucia Foundation, Neuropsychiatry Laboratory, Via Ardeatina 306, 00179 Rome, Italy
| | - Nerisa Banaj
- IRCCS Santa Lucia Foundation, Neuropsychiatry Laboratory, Via Ardeatina 306, 00179 Rome, Italy
| | - Delfina Janiri
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alessio Simonetti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Lucio Bini Mood Disorder Center, Rome, Italy; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Gabriele Sani
- Institute of Psychiatry, Università Cattolica del Sacro Cuore, Roma, Italy; Department of Psychiatry, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Roma, Italy; Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA
| | - Gianfranco Spalletta
- IRCCS Santa Lucia Foundation, Neuropsychiatry Laboratory, Via Ardeatina 306, 00179 Rome, Italy; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
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11
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Altamura AC, Buoli M, Cesana BM, Fagiolini A, de Bartolomeis A, Maina G, Bellomo A, Dell'Osso B. Psychotic versus non-psychotic bipolar disorder: Socio-demographic and clinical profiles in an Italian nationwide study. Aust N Z J Psychiatry 2019; 53:772-781. [PMID: 30658550 DOI: 10.1177/0004867418823268] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Psychotic versus non-psychotic patients with bipolar disorder have been traditionally associated with different unfavorable clinical features. In this study on bipolar Italian patients, we aimed to compare clinical and demographic differences between psychotic and non-psychotic individuals, exploring clinical factors that may favor early diagnosis and personalized treatment. METHODS A total of 1671 patients (males: n = 712 and females: n = 959; bipolar type 1: n = 1038 and bipolar type 2: n = 633) from different psychiatric departments were compared according to the lifetime presence of psychotic symptoms in terms of socio-demographic and clinical variables. Chi-square tests for qualitative variables and Student's t-tests for quantitative variables were performed for group comparison, and a multivariable logistic regression was performed, considering the lifetime psychotic symptoms as dependent variables and socio-demographic/clinical characteristics as independent variables. RESULTS Psychotic versus non-psychotic bipolar subjects resulted to: be more frequently unemployed (p < 0.01) and never married/partnered (p < 0.01); have an earlier age at onset (p < 0.01); more frequently receive a first diagnosis different from a mood disorder (p < 0.01); have a shorter duration of untreated illness (p < 0.01); have a more frequently hypomanic/manic prevalent polarity (p < 0.01) and a prevalent manic-depressive type of cycling (p < 0.01); present a lower lifetime number of depressive episodes (p < 0.01), but have more manic episodes (p < 0.01); and less insight (p < 0.01) and more hospitalizations in the last year (p < 0.01). Multivariable regression analysis showed that psychotic versus non-psychotic bipolar patients received more frequently a first diagnosis different from bipolar disorder (odds ratio = 0.64, 95% confidence interval = [0.46, 0.90], p = 0.02) or major depressive disorder (odds ratio = 0.66, 95% confidence interval = [0.48, 0.91], p = 0.02), had more frequently a prevalent manic polarity (odds ratio = 1.84, 95% confidence interval = [1.14, 2.98], p < 0.01) and had a higher number of lifetime manic episodes (more than six) (odds ratio = 8.79, 95% confidence interval = [5.93, 13.05], p < 0.01). CONCLUSION Lifetime psychotic symptoms in bipolar disorder are associated with unfavorable socio-demographic and clinical features as well as with a more frequent initial misdiagnosis.
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Affiliation(s)
- Alfredo Carlo Altamura
- 1 Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Massimiliano Buoli
- 1 Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Bruno Mario Cesana
- 2 Unit of Biostatistics and Biomathematics, University of Brescia, Brescia, Italy.,3 Department of Clinical Sciences and Community Health, Unit of Medical Statistics, Biometry and Bioinformatics "Giulio A. Maccacaro", Faculty of Medicine and Surgery, University of Milan, Milan, Italy
| | - Andrea Fagiolini
- 4 Department of Mental Health and Department of Molecular Medicine, University of Siena Medical Center, Siena, Italy
| | - Andrea de Bartolomeis
- 5 Section of Psychiatry and Laboratory of Molecular and Translational Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Giuseppe Maina
- 6 Department of Mental Health, San Luigi-Gonzaga Hospital, University of Turin, Turin, Italy
| | - Antonello Bellomo
- 7 Psychiatry Unit, Department of Medical Sciences, University of Foggia, Foggia, Italy
| | - Bernardo Dell'Osso
- 8 Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.,9 CRC 'Aldo Ravelli' for Neurotechnology and Experimental Brain Therapeutics, University of Milan, Milan, Italy.,10 UOC Psichiatria 2, ASST Fatebenefratelli-Sacco, University of Milan, Milan, Italy.,11 Department of Biomedical and Clinical Sciences "Luigi Sacco", Psychiatry Unit 2, ASST-Fatebenefratelli-Sacco, Milan, Italy
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12
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Basal ganglia volumetric changes in psychotic spectrum disorders. J Affect Disord 2019; 255:150-157. [PMID: 31153051 DOI: 10.1016/j.jad.2019.05.048] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 03/30/2019] [Accepted: 05/27/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Basal ganglia are particularly important for understanding the pathobiology of psychosis given their key roles in dopaminergic neurotransmission which are associated with psychotic symptoms and one of the target sites of antipsychotic drugs. Psychotic symptoms are prevalent in both schizophrenia (SZ) and bipolar disorder (BD). Although the components of basal ganglia are implicated in psychosis, comparative structural changes of components of the basal ganglia between SZ and BD are less clear after disentanglement of clinical effects of antipsychotic dose, duration and severity of illness. METHODS In this study, we examined the morphology of the basal ganglia in 326 subjects comprising of 45 patients of BD type I with psychotic symptoms, 97 first-episode SZ (FE-SZ) patients, 86 non-first-episode chronic SZ (NFE-SZ) patients, in comparison with 98 healthy controls (HC). RESULTS Results showed increased volumes in subregions of caudate, putamen, and pallidum in chronic SZ patients compared with HC after controlling for age, gender, and total intracranial volume. No change was found between FE-SZ patients, psychotic BD patients, and HC. Furthermore, hierarchical regressions showed that the dosage of antipsychotics had a significant contribution to basal ganglia volumetric enlargement in NFE-SZ after controlling for the effects of age, gender, total intracranial volume, age at illness onset, as well as illness duration and severity. LIMITATIONS Lack of information about the cumulative history of exposure to medication for all the three groups of patients is a major limitation in our study. CONCLUSIONS There are distinct basal ganglia structural changes in SZ and psychotic BD. Basal ganglia are enlarged in chronic SZ but not in FE-SZ and BD and this enlargement is significantly associated with antipsychotic dosage over and beyond the effects of illness duration and severity.
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13
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Balestrino M, Adriano E. Beyond sports: Efficacy and safety of creatine supplementation in pathological or paraphysiological conditions of brain and muscle. Med Res Rev 2019; 39:2427-2459. [PMID: 31012130 DOI: 10.1002/med.21590] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 03/26/2019] [Accepted: 04/02/2019] [Indexed: 01/16/2023]
Abstract
Creatine is pivotal in energy metabolism of muscle and brain cells, both in physiological and in pathological conditions. Additionally, creatine facilitates the differentiation of muscle and neuronal cells. Evidence of effectiveness of creatine supplementation in improving several clinical conditions is now substantial, and we review it in this paper. In hereditary diseases where its synthesis is impaired, creatine has a disease-modifying capacity, especially when started soon after birth. Strong evidence, including a Cochrane meta-analysis, shows that it improves muscular strength and general well-being in muscular dystrophies. Significant evidence exists also of its effectiveness in secondary prevention of statin myopathy and of treatment-resistant depression in women. Vegetarians and vegans do not consume any dietary creatine and must synthesize all they need, spending most of their methylation capacity. Nevertheless, they have a lower muscular concentration of creatine. Creatine supplementation has proved effective in increasing muscular and neuropsychological performance in vegetarians or vegans and should, therefore, be recommended especially in those of them who are athletes, heavy-duty laborers or who undergo intense mental effort. Convincing evidence also exists of creatine effectiveness in muscular atrophy and sarcopenia in the elderly, and in brain energy shortage (mental fatigue, sleep deprivation, environmental hypoxia as in mountain climbing, and advanced age). Furthermore, we review more randomized, placebo-controlled trials showing that creatine supplementation is safe up to 20 g/d, with a possible caveat only in people with kidney disease. We trust that the evidence we review will be translated into clinical practice and will spur more research on these subjects.
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Affiliation(s)
- Maurizio Balestrino
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili (DINOGMI), University of Genova, Genova, Italy.,Clinica Neurologica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Enrico Adriano
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili (DINOGMI), University of Genova, Genova, Italy
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14
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He Z, Sheng W, Lu F, Long Z, Han S, Pang Y, Chen Y, Luo W, Yu Y, Nan X, Cui Q, Chen H. Altered resting-state cerebral blood flow and functional connectivity of striatum in bipolar disorder and major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 90:177-185. [PMID: 30500413 DOI: 10.1016/j.pnpbp.2018.11.009] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 08/26/2018] [Accepted: 11/15/2018] [Indexed: 01/21/2023]
Abstract
BACKGROUND Clinically distinguishing bipolar disorder (BD) from major depressive disorder (MDD) during depressive states is difficult. Neuroimaging findings suggested that patients with BD and those with MDD differed with respect to the gray matter volumes of their subcortical structures, especially in their striatum. However, whether these disorders have different effects on functionally striatal neuronal activity and connectivity is unclear. METHODS Arterial spin labeling and resting-state functional MRI was performed on 25 currently depressive patients with BD, 25 depressive patients with MDD, and 34 healthy controls (HCs). The functional properties of striatal neuronal activity (cerebral blood flow, CBF) and its functional connectivity (FC) were analyzed, and the results from the three groups were compared. The result of the multiple comparisons was corrected on the basis of the Gaussian Random Field theory. RESULTS The patients with BD and those with MDD both had higher CBF values than the HCs in the right caudate and right putamen. The hyper-metabolism of right striatum in BD patients was associated with increased average duration per depressive episode. The two disorders showed commonly increased FC between the striatum and dorsolateral prefrontal cortex, whereas the altered FC of the striatum with precuneus/cuneus was observed only in patients with BD. CONCLUSIONS Patients with BD and those with MDD had a common deficit in their prefrontal-limbic-striatal circuits. The altered striato-precuneus FC can be considered as a marker for the differentiation of patients with BD from those with MDD.
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Affiliation(s)
- Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Wei Sheng
- Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Zhiliang Long
- Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Shaoqiang Han
- Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yajing Pang
- Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yuyan Chen
- Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Wei Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Yue Yu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaoyu Nan
- Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Qian Cui
- School of Public Administration, University of Electronic Science and Technology of China, Chengdu, China.
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Center for Information in BioMedicine, Key laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
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15
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Sani G, Simonetti A, Janiri D, Banaj N, Ambrosi E, De Rossi P, Ciullo V, Arciniegas DB, Piras F, Spalletta G. Association between duration of lithium exposure and hippocampus/amygdala volumes in type I bipolar disorder. J Affect Disord 2018; 232:341-348. [PMID: 29510351 DOI: 10.1016/j.jad.2018.02.042] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 01/17/2018] [Accepted: 02/16/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Prior studies on the effects of lithium on limbic and subcortical gray matter volumes are mixed. It is possible that discrepant findings may be explained by the duration of lithium exposure. We investigated this issue in individuals with type I bipolar disorder (BP-I). METHODS Limbic and subcortical gray matter volume was measured using FreeSurfer in 60 subjects: 15 with BP-I without prior lithium exposure [no-exposure group (NE)]; 15 with BP-I and lithium exposure < 24 months [short-exposure group (SE)]; 15 with BP-I and lithium exposure > 24 months [long-exposure group (LE)]; and 15 healthy controls (HC). RESULTS No differences in limbic and subcortical gray matter volumes were found between LE and HC. Hippocampal and amygdalar volumes were larger bilaterally in both LE and HC when compared to NE. Amygdalar volumes were larger bilaterally in SE when compared to NE but did not differ from LE. Hippocampal volumes were smaller bilaterally in SE when compared to LE and HC but did not differ from NE. No between-group differences on subcortical gray matter or other limbic structure volumes were observed. LIMITATIONS Cross-sectional design and concurrent treatment with other medications limit attribution of between-group differences to lithium exposure alone. CONCLUSIONS The effect of lithium exposure on limbic and subcortical gray matter volumes appears to be time-dependent and relatively specific to the hippocampus and the amygdala, with short-term effects on the amygdala and long-term effects on both structures. These results support the clinical importance of long-term lithium treatment in BP-I.
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Affiliation(s)
- Gabriele Sani
- NESMOS Department (Neurosciences, Mental Health, and Sensory Organs), Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Centro Lucio Bini, Rome, Italy; School of Medicine, Mood Disorder Program, Tufts University, Boston, MA, USA
| | - Alessio Simonetti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Centro Lucio Bini, Rome, Italy; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Delfina Janiri
- Psychiatry Residency Training Program, Faculty of Medicine and Psychology, Sapienza University of Rome, Italy
| | - Nerisa Banaj
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Elisa Ambrosi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Pietro De Rossi
- NESMOS Department (Neurosciences, Mental Health, and Sensory Organs), Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Valentina Ciullo
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy; Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, 50139 Italy
| | - David B Arciniegas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Departments of Neurology and Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
| | - Fabrizio Piras
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Gianfranco Spalletta
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy.
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16
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Thames AD, Kuhn TP, Mahmood Z, Bilder RM, Williamson TJ, Singer EJ, Arentoft A. Effects of social adversity and HIV on subcortical shape and neurocognitive function. Brain Imaging Behav 2018; 12:96-108. [PMID: 28130744 PMCID: PMC5529267 DOI: 10.1007/s11682-017-9676-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The purpose of the current study was to examine the independent and interactive effects of social adversity (SA) and HIV infection on subcortical shape alterations and cognitive functions. Participants included HIV+ (n = 70) and HIV- (n = 23) individuals who underwent MRI, neurocognitive and clinical assessment, in addition to completing questionnaires from which responses were used to create an SA score. Bilateral amygdalae and hippocampi were extracted from T1-weighted images. Parametric statistical analyses were used to compare the radial distance of the structure surface to a median curve to determine the presence of localized shape differences as a function of HIV, SA and their interaction. Next, multiple regression was used to examine the interactive association between HIV and SA with cognitive performance data. An HIV*SA interactive effect was found on the shape of the right amygdala and left hippocampus. Specifically, HIV-infected participants (but not HIV-uninfected controls) who evidenced higher levels of SA displayed an inward deformation of the surface consistent with reduced volume of these structures. We found interactive effects of HIV and SA on learning/memory performance. These results suggest that HIV+ individuals may be more vulnerable to neurological and cognitive changes in the hippocampus and amygdala as a function of SA than HIV- individuals, and that SA indicators of childhood SES and perceived racial discrimination are important components of adversity that are associated with cognitive performance.
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Affiliation(s)
- April D Thames
- David Geffen School of Medicine, University of California Los Angeles, 760 Westwood Plaza, 28-263, Los Angeles, CA, 90095, USA.
| | - Taylor P Kuhn
- David Geffen School of Medicine, University of California Los Angeles, 760 Westwood Plaza, 28-263, Los Angeles, CA, 90095, USA
- Greater Los Angeles VA Healthcare System, Los Angeles, CA, USA
| | - Zanjbeel Mahmood
- David Geffen School of Medicine, University of California Los Angeles, 760 Westwood Plaza, 28-263, Los Angeles, CA, 90095, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Robert M Bilder
- David Geffen School of Medicine, University of California Los Angeles, 760 Westwood Plaza, 28-263, Los Angeles, CA, 90095, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Timothy J Williamson
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Elyse J Singer
- David Geffen School of Medicine, University of California Los Angeles, 760 Westwood Plaza, 28-263, Los Angeles, CA, 90095, USA
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17
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Chrobak AA, Siuda-Krzywicka K, Siwek GP, Tereszko A, Janeczko W, Starowicz-Filip A, Siwek M, Dudek D. Disrupted implicit motor sequence learning in schizophrenia and bipolar disorder revealed with ambidextrous Serial Reaction Time Task. Prog Neuropsychopharmacol Biol Psychiatry 2017. [PMID: 28648566 DOI: 10.1016/j.pnpbp.2017.06.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Impairment of implicit motor sequence learning was shown in schizophrenia (SZ) and, most recently, in bipolar disorder (BD), and was connected to cerebellar abnormalities. The goal of this study was to compare implicit motor sequence learning in BD and SZ. METHODS We examined 33 patients with BD, 33 patients with SZ and 31 healthy controls with a use of ambidextrous Serial Reaction Time Task (SRTT), which allows exploring asymmetries in performance depending on the hand used. RESULTS BD and SZ patients presented impaired implicit motor sequence learning, although the pattern of their impairments was different. While BD patients showed no signs of implicit motor sequence learning for both hands, the SZ group presented some features of motor learning when performing with the right, but not with the left hand. CONCLUSIONS To our best knowledge this is the first study comparing implicit motor sequence learning in BD and SZ. We show that both diseases share impairments in this domain, however in the case of SZ this impairment differs dependently on the hand performing SRTT. We propose that implicit motor sequence learning impairments constitute an overlapping symptom in BD and SZ and suggest further neuroimaging studies to verify cerebellar underpinnings as its cause.
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Affiliation(s)
| | - Katarzyna Siuda-Krzywicka
- Department of Psychophysiology, Faculty of Psychology, Jagiellonian University, Kraków, Poland; Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013 Paris, France
| | | | - Anna Tereszko
- Department of Psychiatry, Jagiellonian University, Medical College, Kraków, Poland
| | - Weronika Janeczko
- Students' Scientific Association of Affective Disorders, Jagiellonian University, Medical College, Kraków, Poland
| | - Anna Starowicz-Filip
- Medical Psychology Department, Jagiellonian University, Medical College, Kraków, Poland
| | - Marcin Siwek
- Department of Affective Disorders, Chair of Psychiatry, Jagiellonian University, Medical College, Kraków, Poland
| | - Dominika Dudek
- Department of Affective Disorders, Chair of Psychiatry, Jagiellonian University, Medical College, Kraków, Poland
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Shakeri M, Lombaert H, Datta AN, Oser N, Létourneau-Guillon L, Lapointe LV, Martin F, Malfait D, Tucholka A, Lippé S, Kadoury S. Statistical shape analysis of subcortical structures using spectral matching. Comput Med Imaging Graph 2016; 52:58-71. [DOI: 10.1016/j.compmedimag.2016.03.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 02/02/2016] [Accepted: 03/04/2016] [Indexed: 11/26/2022]
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Mamah D, Alpert KI, Barch DM, Csernansky JG, Wang L. Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders. Neuroimage Clin 2016; 11:276-286. [PMID: 26977397 PMCID: PMC4781974 DOI: 10.1016/j.nicl.2016.02.011] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 02/17/2016] [Accepted: 02/19/2016] [Indexed: 11/17/2022]
Abstract
BACKGROUND Disorders within the schizophrenia spectrum genetically overlap with bipolar disorder, yet questions remain about shared biological phenotypes. Investigation of brain structure in disease has been enhanced by developments in shape analysis methods that can identify subtle regional surface deformations. Our study aimed to identify brain structure surface deformations that were common across related psychiatric disorders, and characterize differences. METHODS Using the automated FreeSurfer-initiated Large Deformation Diffeomorphic Metric Mapping, we examined volumes and shapes of seven brain structures: hippocampus, amygdala, caudate, nucleus accumbens, putamen, globus pallidus and thalamus. We compared findings in controls (CON; n = 40), and those with schizophrenia (SCZ; n = 52), schizotypal personality disorder (STP; n = 12), psychotic bipolar disorder (P-BP; n = 49) and nonpsychotic bipolar disorder (N-BP; n = 24), aged 15-35. Relationships between morphometric measures and positive, disorganized and negative symptoms were also investigated. RESULTS Inward deformation was present in the posterior thalamus in SCZ, P-BP and N-BP; and in the subiculum of the hippocampus in SCZ and STP. Most brain structures however showed unique shape deformations across groups. Correcting for intracranial size resulted in volumetric group differences for caudate (p < 0.001), putamen (p < 0.01) and globus pallidus (p < 0.001). Shape analysis showed dispersed patterns of expansion on the basal ganglia in SCZ. Significant clinical relationships with hippocampal, amygdalar and thalamic volumes were observed. CONCLUSIONS Few similarities in surface deformation patterns were seen across groups, which may reflect differing neuropathologies. Posterior thalamic contraction in SCZ and BP suggest common genetic or environmental antecedents. Surface deformities in SCZ basal ganglia may have been due to antipsychotic drug effects.
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Affiliation(s)
- Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St. Louis, United States.
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, United States
| | - Deanna M Barch
- Department of Psychiatry, Washington University Medical School, St. Louis, United States; Department of Psychology, Washington University Medical School, St. Louis, United States; Department of Radiology, Washington University Medical School, St. Louis, United States
| | - John G Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, United States
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, United States
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20
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Liberg B, Ekman CJ, Sellgren C, Johansson AG, Landén M. Subcortical morphometry and psychomotor function in euthymic bipolar disorder with a history of psychosis. Brain Imaging Behav 2016; 9:333-41. [PMID: 25034133 DOI: 10.1007/s11682-014-9313-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Psychomotor disturbances are prominent in bipolar disorder patients with a history of psychosis, but their neural correlates remain largely unexplored. We hypothesized that these psychomotor disturbances are associated with morphometric changes in functionally specific regions of the basal ganglia and thalamus. To test if psychomotor performance is associated with changes in volume and shape in these brain regions, we investigated 20 euthymic bipolar disorder patients with a history of psychosis and 20 healthy controls with structural magnetic resonance imaging and vertex-based morphometry. Within the patient group, the local shape of the basal ganglia was significantly associated with longer duration of illness, increased number of manic episodes, and treatment with antipsychotics. There were neither any statistically significant associations between psychomotor performance and morphometric measures in the patient group, nor any significant morphometric differences between patients and controls. We conclude that euthymic subjects with bipolar disorder and a previous history of psychosis show shape changes in regions of the basal ganglia associated to clinical variables that may predict psychomotor disturbances in bipolar disorder.
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Affiliation(s)
- Benny Liberg
- Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden,
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21
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Quigley SJ, Scanlon C, Kilmartin L, Emsell L, Langan C, Hallahan B, Murray M, Waters C, Waldron M, Hehir S, Casey H, McDermott E, Ridge J, Kenney J, O'Donoghue S, Nannery R, Ambati S, McCarthy P, Barker GJ, Cannon DM, McDonald C. Volume and shape analysis of subcortical brain structures and ventricles in euthymic bipolar I disorder. Psychiatry Res 2015; 233:324-30. [PMID: 26254541 DOI: 10.1016/j.pscychresns.2015.05.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Revised: 04/11/2015] [Accepted: 05/19/2015] [Indexed: 12/17/2022]
Abstract
Previous structural magnetic resonance imaging (S-MRI) studies of bipolar disorder have reported variable morphological changes in subcortical brain structures and ventricles. This study aimed to establish trait-related subcortical volumetric and shape abnormalities in a large, homogeneous sample of prospectively confirmed euthymic bipolar I disorder (BD-I) patients (n=60), compared with healthy volunteers (n=60). Participants were individually matched for age and gender. Volume and shape metrics were derived from manually segmented S-MR images for the hippocampus, amygdala, caudate nucleus, and lateral ventricles. Group differences were analysed, controlling for age, gender and intracranial volume. BD-I patients displayed significantly smaller left hippocampal volumes and significantly larger left lateral ventricle volumes compared with controls. Shape analysis revealed an area of contraction in the anterior head and medial border of the left hippocampus, as well as expansion in the right hippocampal tail medially, in patients compared with controls. There were no significant associations between volume or shape variation and lithium status or duration of use. A reduction in the head of the left hippocampus in BD-I patients is interesting, given this region's link to verbal memory. Shape analysis of lateral ventricular changes in patients indicated that these are not regionally specific.
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Affiliation(s)
- Stephen J Quigley
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Cathy Scanlon
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Liam Kilmartin
- Electrical and Electronic Engineering, College of Engineering and Informatics, National University of Ireland, Galway, Ireland
| | - Louise Emsell
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; Translational MRI, Department of Imaging & Pathology, KU Leuven & Radiology, University Hospitals, Leuven, Belgium
| | - Camilla Langan
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Brian Hallahan
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Michael Murray
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Conor Waters
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Mairead Waldron
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sarah Hehir
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Helen Casey
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Emma McDermott
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Jason Ridge
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Joanne Kenney
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Stefani O'Donoghue
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Rory Nannery
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Srinath Ambati
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Peter McCarthy
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, King's College London, London SE5 8AF, United Kingdom
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland.
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Sacchet MD, Livermore EE, Iglesias JE, Glover GH, Gotlib IH. Subcortical volumes differentiate Major Depressive Disorder, Bipolar Disorder, and remitted Major Depressive Disorder. J Psychiatr Res 2015; 68:91-8. [PMID: 26228406 PMCID: PMC11887997 DOI: 10.1016/j.jpsychires.2015.06.002] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Accepted: 06/05/2015] [Indexed: 12/16/2022]
Abstract
Subcortical gray matter regions have been implicated in mood disorders, including Major Depressive Disorder (MDD) and Bipolar Disorder (BD). It is unclear, however, whether or how these regions differ among mood disorders and whether such abnormalities are state- or trait-like. In this study, we examined differences in subcortical gray matter volumes among euthymic BD, MDD, remitted MDD (RMD), and healthy (CTL) individuals. Using automated gray matter segmentation of T1-weighted MRI images, we estimated volumes of 16 major subcortical gray matter structures in 40 BD, 57 MDD, 35 RMD, and 61 CTL individuals. We used multivariate analysis of variance to examine group differences in these structures, and support vector machines (SVMs) to assess individual-by-individual classification. Analyses yielded significant group differences for caudate (p = 0.029) and ventral diencephalon (VD) volumes (p = 0.003). For the caudate, both the BD (p = 0.004) and the MDD (p = 0.037) participants had smaller volumes than did the CTL participants. For the VD, the MDD participants had larger volumes than did the BD and CTL participants (ps < 0.005). SVM distinguished MDD from BD with 59.5% accuracy. These findings indicate that mood disorders are characterized by anomalies in subcortical gray matter volumes and that the caudate and VD contribute uniquely to differential affective pathology. Identifying abnormalities in subcortical gray matter may prove useful for the prevention, diagnosis, and treatment of mood disorders.
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Affiliation(s)
- Matthew D Sacchet
- Neurosciences Program, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA.
| | | | - Juan Eugenio Iglesias
- Basque Center on Cognition, Brain and Language, San Sebastian - Donostia, Gipuzkoa, Spain.
| | - Gary H Glover
- Neurosciences Program, Stanford University, Stanford, CA, USA; Department of Radiology, Stanford University, Stanford, CA, USA; Department of Biophysics, Stanford University, Stanford, CA, USA.
| | - Ian H Gotlib
- Neurosciences Program, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA.
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23
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Implicit motor learning in bipolar disorder. J Affect Disord 2015; 174:250-6. [PMID: 25527995 DOI: 10.1016/j.jad.2014.11.043] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 11/20/2014] [Accepted: 11/23/2014] [Indexed: 11/23/2022]
Abstract
OBJECTIVES A growing number of publications describe cerebellar abnormalities in patients with bipolar disorder (BD). The aim of the following paper was to examine the functional aspects of that issue by focusing on implicit learning - a cognitive function with significant cerebellar underpinnings. METHODS 27 patients with BD and 26 healthy controls (HC), matched for age and sex took part in the study. Implicit motor learning was assessed by the serial reaction time task (SRTT), in which participants were unconsciously learning a sequence of motor reactions. The indicators of procedural learning were the decrease of reaction time (RT) across the repetition of the sequence and the rebound of RT when the sequence changed into a random set of stimuli. RESULTS BD patients did not present any indicators of the implicit learning, their RT increased across repetitions of the sequence and it decreased when the sequence changed to random. Contrary, in the control group RT decreased across the sequence repetitions and increased when the stimuli begun to appear randomly. LIMITATIONS A low subject count and a non-drug naïve patients group, medicated with atypical antipsychotic and mood stabilizers, are the most significant limitations of this study. CONCLUSIONS BD patients did not acquire procedural knowledge while performing the task, whereas HC did. To our knowledge this is the first study that shows the impairment of implicit motor learning in patients with BD. This indicates the possible cerebellar dysfunction in this disease and may provide a new neuropsychiatric approach to bipolar disorder.
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24
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All the world's a (clinical) stage: rethinking bipolar disorder from a longitudinal perspective. Mol Psychiatry 2015; 20:23-31. [PMID: 25048003 PMCID: PMC4303542 DOI: 10.1038/mp.2014.71] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 05/13/2014] [Accepted: 06/06/2014] [Indexed: 12/11/2022]
Abstract
Psychiatric disorders have traditionally been classified using a static, categorical approach. However, this approach falls short in facilitating understanding of the development, common comorbid diagnoses, prognosis and treatment of these disorders. We propose a 'staging' model of bipolar disorder that integrates genetic and neural information with mood and activity symptoms to describe how the disease progresses over time. From an early, asymptomatic, but 'at-risk' stage to severe, chronic illness, each stage is described with associated neuroimaging findings as well as strategies for mapping genetic risk factors. Integrating more biologic information relating to cardiovascular and endocrine systems, refining methodology for modeling dimensional approaches to disease and developing outcome measures will all be crucial in examining the validity of this model. Ultimately, this approach should aid in developing targeted interventions for each group that will reduce the significant morbidity and mortality associated with bipolar disorder.
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25
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Maller JJ, Thaveenthiran P, Thomson RH, McQueen S, Fitzgerald PB. Volumetric, cortical thickness and white matter integrity alterations in bipolar disorder type I and II. J Affect Disord 2014; 169:118-27. [PMID: 25189991 DOI: 10.1016/j.jad.2014.08.016] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 06/25/2014] [Accepted: 08/10/2014] [Indexed: 01/07/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is a debilitating psychiatric disorder affecting millions of people worldwide with mean time to diagnosis estimated to be at least 10 years. Whilst many brain imaging studies have compared those with BD to controls, few have attempted to investigate differences between BD Type I and II and matched controls. METHODS Thirty-one patients with BD (16 Type I and 15 Type II) and 31 matched healthy controls were MRI brain scanned with conventional T1-weighted and diffusion tensor imaging methods. RESULTS There was significantly reduced regional brain volume and thickness among the BD subjects, but also between BD Type I when compared to Type II. White matter integrity also differed between the groups and BD severity correlated significantly with regional brain volume and thickness. LIMITATIONS Future investigations will consider length of time each BD patient had been diagnosed with BD, as well as assessing controls for family history of psychiatric illness, specifically BD. Similarly, genetic assessment will be conducted as well. CONCLUSIONS These findings suggest that there are not only regional brain volumetric, thickness and white matter integrity differences between BD and matched controls, but also between those with BD Type I and Type II, such that reduced regional brain volume may underlie BD Type I whereas white matter integrity is more altered in BD Type II.
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Affiliation(s)
- Jerome J Maller
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia.
| | - Prasanthan Thaveenthiran
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
| | - Richard H Thomson
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
| | - Susan McQueen
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
| | - Paul B Fitzgerald
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
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26
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Scanlon C, Anderson-Schmidt H, Kilmartin L, McInerney S, Kenney J, McFarland J, Waldron M, Ambati S, Fullard A, Logan S, Hallahan B, Barker GJ, Elliott MA, McCarthy P, Cannon DM, McDonald C. Cortical thinning and caudate abnormalities in first episode psychosis and their association with clinical outcome. Schizophr Res 2014; 159:36-42. [PMID: 25124520 DOI: 10.1016/j.schres.2014.07.030] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 07/06/2014] [Accepted: 07/14/2014] [Indexed: 12/26/2022]
Abstract
First episode psychosis (FEP) has been associated with structural brain changes, largely identified by volumetric analyses. Advances in neuroimaging processing have made it possible to measure geometric properties that may identify subtle structural changes not appreciated by a measure of volume alone. In this study we adopt complementary methods of assessing the structural integrity of grey matter in FEP patients and assess whether these relate to patient clinical and functional outcome at 3 year follow-up. 1.5 Tesla T1-weighted Magnetic Resonance (MR) images were acquired for 46 patients experiencing their first episode of psychosis and 46 healthy controls. Cerebral cortical thickness and local gyrification index (LGI) were investigated using FreeSurfer software. Volume and shape of the hippocampus, caudate and lateral ventricles were assessed using manual tracing and spherical harmonics applied for shape description. A cluster of cortical thinning was identified in FEP compared to controls; this was located in the right superior temporal gyrus, sulcus, extended into the middle temporal gyrus (lateral temporal cortex - LTC). Bilateral caudate volumes were significantly lower in FEP relative to controls and the right caudate also displayed regions of shape deflation in the FEP group. No significant structural abnormalities were identified in cortical LGI or hippocampal or lateral ventricle volume/shape. Neither LTC nor caudate abnormalities were related to change in symptom severity or global functioning 3 years later. LTC and caudate abnormalities are present at the first episode of psychosis but do not appear to directly affect clinical or functional outcome.
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Affiliation(s)
- Cathy Scanlon
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Heike Anderson-Schmidt
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; Department of Psychiatry and Psychotherapy, Section of Psychiatric Genetics, University Medical Centre Goettingen, Georg-August University, Goettingen, Germany
| | - Liam Kilmartin
- College of Engineering and Informatics, National University of Ireland Galway, Galway, Ireland
| | - Shane McInerney
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Joanne Kenney
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - John McFarland
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Mairead Waldron
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Srinath Ambati
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Anna Fullard
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sam Logan
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Brian Hallahan
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Gareth J Barker
- King's College London, Institute of Psychiatry, Department of Clinical Neuroscience, Centre for Neuroimaging Sciences, London, UK
| | - Mark A Elliott
- School of Psychology, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Peter McCarthy
- Department of Radiology, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland.
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27
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Womer FY, Wang L, Alpert K, Smith MJ, Csernansky JG, Barch D, Mamah D. Basal ganglia and thalamic morphology in schizophrenia and bipolar disorder. Psychiatry Res 2014; 223:75-83. [PMID: 24957866 PMCID: PMC4112520 DOI: 10.1016/j.pscychresns.2014.05.017] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 05/15/2014] [Accepted: 05/27/2014] [Indexed: 12/21/2022]
Abstract
In this study, we examined the morphology of the basal ganglia and thalamus in bipolar disorder (BP), schizophrenia-spectrum disorders (SCZ-S), and healthy controls (HC) with particular interest in differences related to the absence or presence of psychosis. Volumetric and shape analyses of the basal ganglia and thalamus were performed in 33 BP individuals [12 without history of psychotic features (NPBP) and 21 with history of psychotic features (PBP)], 32 SCZ-S individuals [28 with SCZ and 4 with schizoaffective disorder], and 27 HC using FreeSurfer-initiated large deformation diffeomorphic metric mapping. Significant volume differences were found in the caudate and globus pallidus, with volumes smallest in the NPBP group. Shape abnormalities showing inward deformation of superior regions of the caudate were observed in BP (and especially in NPBP) compared with HC. Shape differences were also found in the globus pallidus and putamen when comparing BP and SCZ-S groups. No significant differences were seen in the nucleus accumbens and thalamus. In summary, structural abnormalities in the caudate and globus pallidus are present in BP and SCZ-S. Differences were more apparent in the NPBP subgroup. The findings herein highlight the potential importance of separately examining BP subgroups in neuroimaging studies.
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Affiliation(s)
- Fay Y. Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matthew J. Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Deanna Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA,Department of Psychology, Washington University, St. Louis, MO, USA,Department or Radiology, Washington University, St. Louis, MO, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
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Phillips ML, Swartz HA. A critical appraisal of neuroimaging studies of bipolar disorder: toward a new conceptualization of underlying neural circuitry and a road map for future research. Am J Psychiatry 2014; 171:829-43. [PMID: 24626773 PMCID: PMC4119497 DOI: 10.1176/appi.ajp.2014.13081008] [Citation(s) in RCA: 404] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVE In this critical review, the authors appraise neuroimaging findings in bipolar disorder in emotion-processing, emotion-regulation, and reward-processing neural circuitry in order to synthesize the current knowledge of the neural underpinnings of bipolar disorder and provide a neuroimaging research road map for future studies. METHOD The authors examined findings from all major studies in bipolar disorder that used functional MRI, volumetric analysis, diffusion imaging, and resting-state techniques, integrating findings to provide a better understanding of larger-scale neural circuitry abnormalities in bipolar disorder. RESULTS Bipolar disorder can be conceptualized, in neural circuitry terms, as parallel dysfunction in prefrontal cortical (especially ventrolateral prefrontal cortical)-hippocampal-amygdala emotion-processing and emotion-regulation circuits bilaterally, together with an "overactive" left-sided ventral striatal-ventrolateral and orbitofrontal cortical reward-processing circuitry, resulting in characteristic behavioral abnormalities associated with bipolar disorder: emotional lability, emotional dysregulation, and heightened reward sensitivity. A potential structural basis for these functional abnormalities is gray matter volume decreases in the prefrontal and temporal cortices, the amygdala, and the hippocampus and fractional anisotropy decreases in white matter tracts connecting prefrontal and subcortical regions. CONCLUSIONS Neuroimaging studies of bipolar disorder clearly demonstrate abnormalities in neural circuits supporting emotion processing, emotion regulation, and reward processing, although there are several limitations to these studies. Future neuroimaging research in bipolar disorder should include studies adopting dimensional approaches; larger studies examining neurodevelopmental trajectories in youths with bipolar disorder or at risk for bipolar disorder; multimodal neuroimaging studies using integrated systems approaches; and studies using pattern recognition approaches to provide clinically useful individual-level data. Such studies will help identify clinically relevant biomarkers to guide diagnosis and treatment decision making for individuals with bipolar disorder.
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Liberg B, Ekman CJ, Sellgren C, Johansson A, Landén M. Vertex-based morphometry in euthymic bipolar disorder implicates striatal regions involved in psychomotor function. Psychiatry Res 2014; 221:173-8. [PMID: 24508205 DOI: 10.1016/j.pscychresns.2014.01.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2013] [Revised: 01/10/2014] [Accepted: 01/17/2014] [Indexed: 10/25/2022]
Abstract
We hypothesized that psychomotor disturbances in patients with bipolar disorder are associated with morphometric changes in functionally specific regions of the basal ganglia and thalamus. We used structural magnetic resonance imaging and vertex-based morphometry to investigate whether psychomotor performance is associated with changes in volume and shape in euthymic subjects with bipolar disorder (n=27) compared with matched healthy controls (n=27). We saw no significant differences between age- and sex-matched groups in motor performance. We found a statistically significant group difference in the shape of the right putamen in the absence of psychomotor disturbances. There was an association between shape and motor performance in controls that was lacking in patients. We conclude that euthymic subjects with bipolar disorder without psychomotor disturbances show shape changes in regions of the right putamen that contribute to executive functions and motor function. It may be that other brain regions sustain the psychomotor functions that produce nearly identical motor performance in both groups.
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Affiliation(s)
- Benny Liberg
- Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden.
| | - Carl Johan Ekman
- Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - Carl Sellgren
- Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - Anette Johansson
- Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landén
- Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden; Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
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Hahn C, Lim HK, Lee CU. Neuroimaging findings in late-onset schizophrenia and bipolar disorder. J Geriatr Psychiatry Neurol 2014; 27:56-62. [PMID: 24401535 DOI: 10.1177/0891988713516544] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In recent years, there has been an increasing interest in late-onset mental disorders. Among them, geriatric schizophrenia and bipolar disorder are significant health care risks and major causes of disability. We discussed whether late-onset schizophrenia (LOS) and late-onset bipolar (LOB) disorder can be a separate entity from early-onset schizophrenia (EOS) and early-onset bipolar (EOB) disorder in a subset of late-life schizophrenia or late-life bipolar disorder through neuroimaging studies. A literature search for imaging studies of LOS or LOB was performed in the PubMed database. Search terms used were "(imaging OR MRI OR CT OR SPECT OR DTI OR PET OR fMRI) AND (schizophrenia or bipolar disorder) AND late onset." Articles that were published in English before October 2013 were included. There were a few neuroimaging studies assessing whether LOS and LOB had different disease-specific neural substrates compared with EOS and EOB. These researches mainly observed volumetric differences in specific brain regions, white matter hyperintensities, diffusion tensor imaging, or functional neuroimaging to explore the differences between LOS and LOB and EOS and EOB. The aim of this review was to highlight the neural substrates involved in LOS and LOB through neuroimaging studies. The exploration of neuroanatomical markers may be the key to the understanding of underlying neurobiology in LOS and LOB.
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Affiliation(s)
- Changtae Hahn
- Department of Psychiatry, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Poletti M, Sambataro F. The development of delusion revisited: a transdiagnostic framework. Psychiatry Res 2013; 210:1245-59. [PMID: 23978732 DOI: 10.1016/j.psychres.2013.07.032] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2012] [Revised: 07/15/2013] [Accepted: 07/20/2013] [Indexed: 01/07/2023]
Abstract
This study proposes a transdiagnostic framework for delusion development, analysing psychiatric (schizophrenia, bipolar disorder, major depressive disorder) and neurological disorders (stroke, and neurodegenerative diseases) in which delusions are predominant. Our aim is to identify a transdiagnostic core of neural and cognitive alterations associated with delusions across distinct clinical disorders. Reviewed empirical evidence suggests delusions are associated: on the neural level with changes in the ventromedial prefrontal cortex (vmPFC) networks, and on the neuropsychological level with dysfunction in the processes (generation of affective value, the construction of internal models of the world, and the reflection about Self and/or Other's mental states) that these network mediate. The concurrent aberration of all these processes could be critical for the clinical transition to a psychotic delusional state. In particular, delusions could become clinically manifest when (1) stimuli are attributed an aberrant affective salience, that (2) is explained by the patient within distorted explanatory internal models that (3) are poorly inhibited by cognitive control systems. This framework extends the two-factor account of delusion model and suggests that common neural mechanisms for the delusions in psychiatric and in neurological disorders.
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Affiliation(s)
- Michele Poletti
- Department of Mental Health and Pathological Addiction, AUSL of Reggio Emilia, Reggio Emilia, Italy.
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Varela RB, Valvassori SS, Lopes-Borges J, Fraga DB, Resende WR, Arent CO, Zugno AI, Quevedo J. Evaluation of acetylcholinesterase in an animal model of mania induced by D-amphetamine. Psychiatry Res 2013; 209:229-34. [PMID: 23245536 DOI: 10.1016/j.psychres.2012.11.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2012] [Revised: 09/21/2012] [Accepted: 11/11/2012] [Indexed: 12/23/2022]
Abstract
The present study aims to investigate the effects of mood stabilizers, lithium (Li) and valproate (VPA), on acetylcholinesterase (AChE) activity in the brains of rats subjected to an animal model of mania induced by D-amphetamine (D-AMPH). In the reversal treatment, Wistar rats were first given D-AMPH or saline (Sal) for 14 days. Between days 8 and 14, the rats were treated with Li, VPA, or Sal. In the prevention treatment, rats were pretreated with Li, VPA, or Sal. AChE activity was measured in the brain structures (prefrontal cortex, hippocampus, and striatum). Li, alone in reversion and prevention treatments, increased AChE activity in the brains of rats. VPA, alone in prevention treatment, increased AChE activity in all brain regions evaluated; in the reversion, only in the prefrontal. However, D-AMPH decreased activity of AChE in the striatum of rats in both the reversion and prevention treatments. VPA was able to revert and prevent this AChE activity alteration in the rat striatum. Our findings further support the notion that the mechanisms of mood stabilizers also involve changes in AChE activity, thus reinforcing the need for more studies to better characterize the role of acetylcholine in bipolar disorder.
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Affiliation(s)
- Roger B Varela
- Laboratory of Neurosciences, National Institute for Translational Medicine (INCT-TM), Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina, 88806-000 Criciúma, SC, Brazil
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Boyce P. ANZJP this month. Aust N Z J Psychiatry 2012; 46:287-8. [PMID: 22508584 DOI: 10.1177/0004867412445133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Philip Boyce
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, Australia.
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