1
|
Zhong M, Liu Z, Wang F, Yang J, Chen E, Lee E, Wu G, Yang J. Effects of long-term antipsychotic medication on brain instability in first-episode schizophrenia patients: a resting-state fMRI study. Front Pharmacol 2024; 15:1387123. [PMID: 38846088 PMCID: PMC11153814 DOI: 10.3389/fphar.2024.1387123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 05/02/2024] [Indexed: 06/09/2024] Open
Abstract
Early initiation of antipsychotic treatment plays a crucial role in the management of first-episode schizophrenia (FES) patients, significantly improving their prognosis. However, limited attention has been given to the long-term effects of antipsychotic drug therapy on FES patients. In this research, we examined the changes in abnormal brain regions among FES patients undergoing long-term treatment using a dynamic perspective. A total of 98 participants were included in the data analysis, comprising 48 FES patients, 50 healthy controls, 22 patients completed a follow-up period of more than 6 months with qualified data. We processed resting-state fMRI data to calculate coefficient of variation of fractional amplitude of low-frequency fluctuations (CVfALFF), which reflects the brain regional activity stability. Data analysis was performed at baseline and after long-term treatment. We observed that compared with HCs, patients at baseline showed an elevated CVfALFF in the supramarginal gyrus (SMG), parahippocampal gyrus (PHG), caudate, orbital part of inferior frontal gyrus (IOG), insula, and inferior frontal gyrus (IFG). After long-term treatment, the instability in SMG, PHG, caudate, IOG, insula and inferior IFG have ameliorated. Additionally, there was a positive correlation between the decrease in dfALFF in the SMG and the reduction in the SANS total score following long-term treatment. In conclusion, FES patients exhibit unstable regional activity in widespread brain regions at baseline, which can be ameliorated with long-term treatment. Moreover, the extent of amelioration in SMG instability is associated with the amelioration of negative symptoms.
Collapse
Affiliation(s)
- Maoxing Zhong
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhening Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Feiwen Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jun Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Eric Chen
- Department of Psychiatry, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Edwin Lee
- Department of Psychiatry, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Guowei Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jie Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| |
Collapse
|
2
|
Kang Y, Zhang Y, Huang K, Wang Z. Association of dopamine-based genetic risk score with dynamic low-frequency fluctuations in first-episode drug-naïve schizophrenia. Brain Imaging Behav 2023; 17:584-594. [PMID: 37382826 DOI: 10.1007/s11682-023-00786-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2023] [Indexed: 06/30/2023]
Abstract
Alterations in dynamic intrinsic brain activity and signaling of neurotransmitters, such as dopamine, have been independently detected in schizophrenia patients. Yet, it remains unclear whether the dopamine genetic risk variants have association with brain intrinsic activity. We aimed to investigate the schizophrenia-specific dynamic amplitude of low frequency fluctuation (dALFF) altered pattern, and its association with dopamine genetic risk score in first-episode drug-naïve schizophrenia (FES). Fifty-two FES and 51 healthy controls were included. A sliding-window method based on the dALFF was adopted to estimate the dynamic alterations in intrinsic brain activity. Subjects were genotyped, and a genetic risk score (GRS), which combined the additive effects of ten risk genotypes from five dopamine-related genes, was calculated. We used the voxel-wise correlation analysis to explore the association of dopamine-GRS with dALFF. FES showed significantly increased dALFF left medial prefrontal cortex and significantly decreased dALFF in the right posterior cingulate cortex compared with healthy controls. Greater dopamine GRS in FES was associated with higher dALFF in the left middle frontal gyrus and left inferior parietal gyrus. Our findings indicate that cumulative dopamine genetic risk is associated with a known imaging phenotype for schizophrenia.
Collapse
Affiliation(s)
- Yafei Kang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Youming Zhang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Kexin Huang
- West China Biomedical Big Data Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Zhenhong Wang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China.
| |
Collapse
|
3
|
Paunova R, Ramponi C, Kandilarova S, Todeva-Radneva A, Latypova A, Stoyanov D, Kherif F. Degeneracy and disordered brain networks in psychiatric patients using multivariate structural covariance analyzes. Front Psychiatry 2023; 14:1272933. [PMID: 37908595 PMCID: PMC10614636 DOI: 10.3389/fpsyt.2023.1272933] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/02/2023] [Indexed: 11/02/2023] Open
Abstract
Introduction In this study, we applied multivariate methods to identify brain regions that have a critical role in shaping the connectivity patterns of networks associated with major psychiatric diagnoses, including schizophrenia (SCH), major depressive disorder (MDD) and bipolar disorder (BD) and healthy controls (HC). We used T1w images from 164 subjects: Schizophrenia (n = 17), bipolar disorder (n = 25), major depressive disorder (n = 68) and a healthy control group (n = 54). Methods We extracted regions of interest (ROIs) using a method based on the SHOOT algorithm of the SPM12 toolbox. We then performed multivariate structural covariance between the groups. For the regions identified as significant in t term of their covariance value, we calculated their eigencentrality as a measure of the influence of brain regions within the network. We applied a significance threshold of p = 0.001. Finally, we performed a cluster analysis to determine groups of regions that had similar eigencentrality profiles in different pairwise comparison networks in the observed groups. Results As a result, we obtained 4 clusters with different brain regions that were diagnosis-specific. Cluster 1 showed the strongest discriminative values between SCH and HC and SCH and BD. Cluster 2 had the strongest discriminative value for the MDD patients, cluster 3 - for the BD patients. Cluster 4 seemed to contribute almost equally to the discrimination between the four groups. Discussion Our results suggest that we can use the multivariate structural covariance method to identify specific regions that have higher predictive value for specific psychiatric diagnoses. In our research, we have identified brain signatures that suggest that degeneracy shapes brain networks in different ways both within and across major psychiatric disorders.
Collapse
Affiliation(s)
- Rositsa Paunova
- Department of Psychiatry and Medical Psychology, Medical University Plovdiv, Plovdiv, Bulgaria
- Research Institute, Medical University Plovdiv, Plovdiv, Bulgaria
| | - Cristina Ramponi
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, Medical University Plovdiv, Plovdiv, Bulgaria
- Research Institute, Medical University Plovdiv, Plovdiv, Bulgaria
| | - Anna Todeva-Radneva
- Department of Psychiatry and Medical Psychology, Medical University Plovdiv, Plovdiv, Bulgaria
- Research Institute, Medical University Plovdiv, Plovdiv, Bulgaria
| | - Adeliya Latypova
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Drozdstoy Stoyanov
- Department of Psychiatry and Medical Psychology, Medical University Plovdiv, Plovdiv, Bulgaria
- Research Institute, Medical University Plovdiv, Plovdiv, Bulgaria
| | - Ferath Kherif
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| |
Collapse
|
4
|
Choi SY, Ha M, Choi S, Moon SY, Park S, Kim M, Kwon JS. Altered intrinsic cerebellar-cerebral functional connectivity is related to negative symptoms in patients with first-episode psychosis. Schizophr Res 2023; 252:56-63. [PMID: 36628869 DOI: 10.1016/j.schres.2022.12.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 10/31/2022] [Accepted: 12/28/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Negative symptoms in schizophrenia include cognitive and affective dysfunction, such as diminished expression and amotivation. Although the cerebellar posterior hemisphere and vermis are involved in cognitive and affective functioning, previous studies on the neural mechanism of negative symptoms have mostly been confined to the cerebral cortex. This study aimed to investigate whether resting-state cerebellar-cerebral functional connectivity (FC) is altered in first-episode psychosis (FEP) patients and whether this connectivity is related to negative symptoms. METHODS Resting-state functional magnetic resonance images were obtained from 38 FEP patients and 100 healthy controls (HCs). Using the posterior hemisphere and vermis of the cerebellum as seeds, whole-brain FC was compared between FEP patients and HCs. As cerebellar-parietal cortex connectivity is associated with negative symptoms and sociocognitive dysfunctions in schizophrenia patients, its correlation with negative symptoms was explored in FEP patients. RESULTS FEP patients showed hyperconnectivity between the cerebellum and bilateral frontal pole (FP), occipital pole, fusiform gyrus, right lingual gyrus, central opercular cortex, anterior middle temporal gyrus, precuneus, and subcallosal cortex. Hypoconnectivity was found between the cerebellum and left FP, right anterior supramarginal gyrus (aSMG), and cerebellum crus I. FC between the left crus II and right aSMG was negatively correlated with the severity of negative symptoms and diminished expression. CONCLUSIONS Altered FC between the cerebellum and cerebral regions related to cognitive, affective, and sensory processing was found in FEP patients and was connected to negative symptoms. These results suggest that the cerebellum plays a role in the pathophysiology of negative symptoms in schizophrenia.
Collapse
Affiliation(s)
- Soo Yun Choi
- Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minji Ha
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sunah Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Psychiatry, Hallym University Kangnam Sacred Heart Hospital, Seoul, Republic of Korea
| | - Sunghyun Park
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| |
Collapse
|
5
|
Measuring variability of local brain volume using improved volume preserved warping. Comput Med Imaging Graph 2022; 96:102039. [DOI: 10.1016/j.compmedimag.2022.102039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 12/17/2021] [Accepted: 01/13/2022] [Indexed: 11/17/2022]
|
6
|
Reduced cortical gyrification in the posteromedial cortex in unaffected relatives of schizophrenia patients with high genetic loading. NPJ SCHIZOPHRENIA 2021; 7:17. [PMID: 33649350 PMCID: PMC7921641 DOI: 10.1038/s41537-021-00148-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 01/15/2021] [Indexed: 11/08/2022]
Abstract
Although abnormal cortical gyrification has been consistently reported in patients with schizophrenia, whether gyrification abnormalities reflect a genetic risk for the disorder remains unknown. This study investigated differences in cortical gyrification between unaffected relatives (URs) with high genetic loading for schizophrenia and healthy controls (HCs) to identify potential genetic vulnerability markers. A total of 50 URs of schizophrenia patients and 50 matched HCs underwent T1-weighted magnetic resonance imaging to compare whole-brain gyrification using the local gyrification index (lGI). Then, the lGI clusters showing significant differences were compared between the UR subgroups based on the number of first-degree relatives with schizophrenia to identify the effect of genetic loading on cortical gyrification changes. The URs exhibited significantly lower cortical gyrification than the HCs in clusters including medial parieto-occipital and cingulate regions comprising the bilateral precuneus, cuneus, pericalcarine, lingual, isthmus cingulate, and posterior cingulate gyri. Moreover, URs who had two or more first-degree relatives with schizophrenia showed greater gyrification reductions in these clusters than those who had at least one first-degree relative with schizophrenia. Our findings of reduced gyrification in URs, which are consistent with accumulated evidence of hypogyria observed in regions showing patient-control differences in previous studies, highlight that such hypogyria in posteromedial regions may serve as a genetic vulnerability marker and reflect early neurodevelopmental abnormalities resulting from a genetic risk for schizophrenia.
Collapse
|
7
|
Rodriguez M, Zaytseva Y, Cvrčková A, Dvořaček B, Dorazilová A, Jonáš J, Šustová P, Voráčková V, Hájková M, Kratochvílová Z, Španiel F, Mohr P. Cognitive Profiles and Functional Connectivity in First-Episode Schizophrenia Spectrum Disorders - Linking Behavioral and Neuronal Data. Front Psychol 2019; 10:689. [PMID: 31001171 PMCID: PMC6454196 DOI: 10.3389/fpsyg.2019.00689] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 03/12/2019] [Indexed: 12/16/2022] Open
Abstract
The character of cognitive deficit in schizophrenia is not clear due to the heterogeneity in research results. In heterogeneous conditions, the cluster solution allows the classification of individuals based on profiles. Our aim was to examine the cognitive profiles of first-episode schizophrenia spectrum disorder (FES) subjects based on cluster analysis, and to correlate these profiles with clinical variables and resting state brain connectivity, as measured with magnetic resonance imaging. A total of 67 FES subjects were assessed with a neuropsychological test battery and on clinical variables. The results of the cognitive domains were cluster analyzed. In addition, functional connectivity was calculated using ROI-to-ROI analysis with four groups: Three groups were defined based on the cluster analysis of cognitive performance and a control group with a normal cognitive performance. The connectivity was compared between the patient clusters and controls. We found different cognitive profiles based on three clusters: Cluster 1: decline in the attention, working memory/flexibility, and verbal memory domains. Cluster 2: decline in the verbal memory domain and above average performance in the attention domain. Cluster 3: generalized and severe deficit in all of the cognitive domains. FES diagnoses were distributed among all of the clusters. Cluster comparisons in neural connectivity also showed differences between the groups. Cluster 1 showed both hyperconnectivity between the cerebellum and precentral gyrus, the salience network (SN) (insula cortex), and fronto-parietal network (FPN) as well as between the PreCG and SN (insula cortex) and hypoconnectivity between the default mode network (DMN) and seeds of SN [insula and supramarginal gyrus (SMG)]; Cluster 2 showed hyperconnectivity between the DMN and cerebellum, SN (insula) and precentral gyrus, and FPN and IFG; Cluster 3 showed hypoconnectivity between the DMN and SN (insula) and SN (SMG) and pallidum. The cluster solution confirms the prevalence of a cognitive decline with different patterns of cognitive performance, and different levels of severity in FES. Moreover, separate behavioral cognitive subsets can be linked to patterns of brain functional connectivity.
Collapse
Affiliation(s)
- Mabel Rodriguez
- National Institute of Mental Health, Klecany, Czechia
- Department of Psychology, Faculty of Arts, Charles University in Prague, Prague, Czechia
| | - Yuliya Zaytseva
- National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Aneta Cvrčková
- National Institute of Mental Health, Klecany, Czechia
- Department of Psychology, Faculty of Social Studies, Masaryk University, Brno, Czechia
| | - Boris Dvořaček
- National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Aneta Dorazilová
- National Institute of Mental Health, Klecany, Czechia
- Department of Psychology, Faculty of Arts, Masaryk University, Brno, Czechia
| | - Juraj Jonáš
- National Institute of Mental Health, Klecany, Czechia
- Department of Psychology, Faculty of Arts, Charles University in Prague, Prague, Czechia
| | - Petra Šustová
- National Institute of Mental Health, Klecany, Czechia
| | - Veronika Voráčková
- National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Marie Hájková
- National Institute of Mental Health, Klecany, Czechia
| | | | - Filip Španiel
- National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Pavel Mohr
- National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| |
Collapse
|
8
|
Ciufolini S, Ponteduro MF, Reis-Marques T, Taylor H, Mondelli V, Pariante CM, Bonaccorso S, Chan R, Simmons A, David A, Di Forti M, Murray RM, Dazzan P. Cortical thickness correlates of minor neurological signs in patients with first episode psychosis. Schizophr Res 2018; 200:104-111. [PMID: 29785932 DOI: 10.1016/j.schres.2018.05.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Revised: 05/03/2018] [Accepted: 05/06/2018] [Indexed: 01/09/2023]
Abstract
Neurological soft signs (NSS) are subtle abnormalities of motor and sensory function that are present in the absence of localized brain pathological lesions. In psychoses they have been consistently associated with a distinct pattern of cortical and subcortical brain structural alterations at the level of the heteromodal cortex and basal ganglia. However, a more specific and accurate evaluation of the cytoarchitecture of the cortical mantle could further advance our understanding of the neurobiological substrate of psychosis. We investigated the relationship between brain structure and NSS in a sample of 66 patients at their first episode of psychosis. We used the Neurological Evaluation Scale for neurological assessment and high-resolution MRI and Freesurfer to explore cortical thickness and surface area. Higher rates of NSS were associated with a reduction of cortical thickness in the precentral and postcentral gyri, inferior-parietal, superior temporal, and fusiform gyri. Higher rates of NSS were also associated with smaller surface areas of superior temporal gyrus and frontal regions (including middle frontal, superior and orbito-frontal gyri). Finally, more sensory integration signs were also associated with larger surface area of the latero-occipital region. We conclude that the presence of NSS in psychosis is associated with distinct but widespread changes in cortical thickness and surface area, in areas crucial for sensory-motor integration and for the fluid execution of movement. Studying these morphological correlates with advanced neuroimaging techniques can continue to improve our knowledge on the neurobiological substrate of these important functional correlates of psychosis.
Collapse
Affiliation(s)
- Simone Ciufolini
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
| | - Maria Francesca Ponteduro
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Tiago Reis-Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Heather Taylor
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Valeria Mondelli
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Carmine M Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Stefania Bonaccorso
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Raymond Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Andy Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Anthony David
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Marta Di Forti
- Social Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| |
Collapse
|
9
|
Reess TJ, Rus OG, Gürsel DA, Schmitz-Koep B, Wagner G, Berberich G, Koch K. Network-based decoupling of local gyrification in obsessive-compulsive disorder. Hum Brain Mapp 2018; 39:3216-3226. [PMID: 29603846 DOI: 10.1002/hbm.24071] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 03/07/2018] [Accepted: 03/23/2018] [Indexed: 01/05/2023] Open
Abstract
Gyrification is associated with cortical maturation and closely linked to neurodevelopmental processes. Obsessive-compulsive disorder has previously been associated with neurodevelopmental risk factors. Using graph theoretical modeling we examined structural covariance patterns to assess potential disruptions in processes associated with neurodevelopment in OCD. In total 97 patients and 92 healthy controls underwent magnetic resonance imaging. Structural covariance networks based on local gyrification indices were constructed using an atlas-based parcellation scheme. Network properties were assessed using the network-based statistic as well as global and local graph theoretical measures. Correlations between gyrification and symptom severity as well as age of disease onset were examined. Network-based statistic analysis revealed one cluster with significantly decreased structural covariance in patients comprising mainly ventral brain regions (p = .041). Normalized characteristic path length was found to be impaired in patients (p = .051). On a nodal level, left middle frontal sulcus displayed a significantly decreased local clustering coefficient (p < .001). Finally, gyrification in several inferior frontal nodes significantly correlated with age of onset but not symptom severity. The decrease in a gyrification-based covariance network in OCD appears to be mostly confined to ventral areas in which gyrification starts the latest during development. This pattern may indicate that alterations taking place during development are potentially time locked to specific periods. Correlations between gyrification in inferio-frontal nodes and age of onset potentially indicate a structural trait rather than state marker for OCD. Finally, a trend in impaired global integration capabilities may point towards potentially widespread global alterations during neurodevelopment in patients.
Collapse
Affiliation(s)
- Tim Jonas Reess
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany.,Graduate School of Systemic Neurosciences GSN, Ludwig-Maximilians-Universität, Biocenter, Groβhaderner Strasse 2, Munich, 82152, Germany
| | - Oana Georgiana Rus
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany.,Graduate School of Systemic Neurosciences GSN, Ludwig-Maximilians-Universität, Biocenter, Groβhaderner Strasse 2, Munich, 82152, Germany
| | - Deniz A Gürsel
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany
| | - Benita Schmitz-Koep
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena, 07743, Germany
| | - Götz Berberich
- Windach Institute and Hospital of Neurobehavioural Research and Therapy (WINTR), Schützenstr. 100, Windach, 86949, Germany
| | - Kathrin Koch
- Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany.,Graduate School of Systemic Neurosciences GSN, Ludwig-Maximilians-Universität, Biocenter, Groβhaderner Strasse 2, Munich, 82152, Germany
| |
Collapse
|
10
|
Abstract
The cerebral cortex of the human brain has a complex morphological structure consisting of folded or smooth cortical surfaces. These morphological features are referred to as cortical gyrification and are characterized by the gyrification index (GI). A number of cortical gyrification studies have been published using the manual tracing GI, automated GI, and local GI in patients with schizophrenia. In this review, we highlighted abnormal cortical gyrification in patients with schizophrenia, first-episode schizophrenia, siblings of patients, and high-risk and at-risk individuals. Previous researches also indicated that abnormalities in cortical gyrification may underlie the severity of clinical symptoms, neurological soft signs, and executive functions. A substantial body of research has been conducted; however, some researches showed an increased GI, which is called as "hypergyria," and others showed a decreased GI, which is called as "hypogyria." We discussed that different GI methods and a wide variety of characteristics, such as age, sex, stage, and severity of illness, might be important reasons for the conflicting findings. These issues still need to be considered, and future studies should address them.
Collapse
Affiliation(s)
- Yukihisa Matsuda
- Faculty of Pharmacy and Pharmaceutical Sciences, Fukuyama University, Hiroshima, Japan
| | - Kazutaka Ohi
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan, .,Medical Research Institute, Kanazawa Medical University, Ishikawa, Japan,
| |
Collapse
|
11
|
Wild HM, Heckemann RA, Studholme C, Hammers A. Gyri of the human parietal lobe: Volumes, spatial extents, automatic labelling, and probabilistic atlases. PLoS One 2017; 12:e0180866. [PMID: 28846692 PMCID: PMC5573296 DOI: 10.1371/journal.pone.0180866] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 06/22/2017] [Indexed: 01/16/2023] Open
Abstract
Accurately describing the anatomy of individual brains enables interlaboratory communication of functional and developmental studies and is crucial for possible surgical interventions. The human parietal lobe participates in multimodal sensory integration including language processing and also contains the primary somatosensory area. We describe detailed protocols to subdivide the parietal lobe, analyze morphological and volumetric characteristics, and create probabilistic atlases in MNI152 stereotaxic space. The parietal lobe was manually delineated on 3D T1 MR images of 30 healthy subjects and divided into four regions: supramarginal gyrus (SMG), angular gyrus (AG), superior parietal lobe (supPL) and postcentral gyrus (postCG). There was the expected correlation of male gender with larger brain and intracranial volume. We examined a wide range of anatomical features of the gyri and the sulci separating them. At least a rudimentary primary intermediate sulcus of Jensen (PISJ) separating SMG and AG was identified in nearly all (59/60) hemispheres. Presence of additional gyri in SMG and AG was related to sulcal features and volumetric characteristics. The parietal lobe was slightly (2%) larger on the left, driven by leftward asymmetries of the postCG and SMG. Intersubject variability was highest for SMG and AG, and lowest for postCG. Overall the morphological characteristics tended to be symmetrical, and volumes also tended to covary between hemispheres. This may reflect developmental as well as maturation factors. To assess the accuracy with which the labels can be used to segment newly acquired (unlabelled) T1-weighted brain images, we applied multi-atlas label propagation software (MAPER) in a leave-one-out experiment and compared the resulting automatic labels with the manually prepared ones. The results showed strong agreement (mean Jaccard index 0.69, corresponding to a mean Dice index of 0.82, average mean volume error of 0.6%). Stereotaxic probabilistic atlases of each subregion were obtained. They illustrate the physiological brain torque, with structures in the right hemisphere positioned more anteriorly than in the left, and right/left positional differences of up to 10 mm. They also allow an assessment of sulcal variability, e.g. low variability for parietooccipital fissure and cingulate sulcus. Illustrated protocols, individual label sets, probabilistic atlases, and a maximum-probability atlas which takes into account surrounding structures are available for free download under academic licences.
Collapse
Affiliation(s)
- Heather M. Wild
- Neurodis Foundation, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, Bron, France
| | - Rolf A. Heckemann
- Neurodis Foundation, Lyon, France
- MedTech West at Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Colin Studholme
- Department of Pediatrics, Division of Neonatology, University of Washington, Seattle, Washington, United States of America
| | - Alexander Hammers
- Neurodis Foundation, Lyon, France
- Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom
- * E-mail:
| |
Collapse
|
12
|
Hirjak D, Wolf RC, Pfeifer B, Kubera KM, Thomann AK, Seidl U, Maier-Hein KH, Schröder J, Thomann PA. Cortical signature of clock drawing performance in Alzheimer's disease and mild cognitive impairment. J Psychiatr Res 2017; 90:133-142. [PMID: 28284155 DOI: 10.1016/j.jpsychires.2017.02.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 02/19/2017] [Accepted: 02/21/2017] [Indexed: 12/24/2022]
Abstract
It is unclear whether clock drawing test (CDT) performance relies on a widely distributed cortical network, or whether this test predominantly taps into parietal cortex function. So far, associations between cortical integrity and CDT impairment in Alzheimer's disease (AD) and mild cognitive impairment (MCI) largely stem from cortical volume analyses. Given that volume is a product of thickness and surface area, investigation of the relationship between CDT and these two cortical measures might contribute to better understanding of this cognitive screening tool for AD. 38 patients with AD, 38 individuals with MCI and 31 healthy controls (HC) underwent CDT assessment and MRI at 3 Tesla. The surface-based analysis via Freesurfer enabled calculation of cortical thickness and surface area. CDT was scored according to the method proposed by Shulman and related to the two distinct cortical measurements. Higher CDT scores across the entire sample were associated with cortical thickness in bilateral temporal gyrus, the right supramarginal gyrus, and the bilateral parietal gyrus, respectively (p < 0.001 CWP corr.). Significant associations between CDT and cortical thickness reduction in the parietal lobe remained significant when analyses were restricted to AD individuals. There was no statistically significant association between CDT scores and surface area (p < 0.001 CWP corr.). In conclusion, CDT performance may be driven by cortical thickness alterations in regions previously identified as "AD vulnerable", i.e. regions predominantly including temporal and parietal lobes. Our results suggest that cortical features of distinct evolutionary and genetic origin differently contribute to CDT performance.
Collapse
Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany; Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany.
| | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Barbara Pfeifer
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Anne K Thomann
- Department of Internal Medicine II, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Ulrich Seidl
- Center for Mental Health, Department of Psychiatry, Prießnitzweg 24, Stuttgart 70374, Germany
| | - Klaus H Maier-Hein
- Medical Image Computing Group, German Cancer Research Center (DKFZ), Germany
| | | | - Philipp A Thomann
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany; Center for Mental Health, Odenwald District Healthcare Center, Albert-Schweitzer-Straße 10-20, 64711 Erbach, Germany
| |
Collapse
|
13
|
Hirjak D, Huber M, Kirchler E, Kubera KM, Karner M, Sambataro F, Freudenmann RW, Wolf RC. Cortical features of distinct developmental trajectories in patients with delusional infestation. Prog Neuropsychopharmacol Biol Psychiatry 2017; 76:72-79. [PMID: 28257853 DOI: 10.1016/j.pnpbp.2017.02.018] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 02/23/2017] [Accepted: 02/27/2017] [Indexed: 01/02/2023]
Abstract
BACKGROUND Although there is strong neuroimaging evidence that cortical alterations are a core feature of schizophrenia spectrum disorders, it still remains unclear to what extent such abnormalities occur in monothematic delusional disorders. In individuals with delusional infestation (DI), the delusional belief to be infested with pathogens, previous structural MRI studies have shown prefrontal, temporal, parietal, insular, thalamic and striatal gray matter volume changes. Differential contributions of cortical features of evolutionary and genetic origin (such as cortical thickness, area and folding) which may distinctly contribute to DI pathophysiology are unclear at present. METHODS In this study, 18 patients with DI and 20 healthy controls (HC) underwent MRI scanning at 1.0T. Using surface-based analyses we calculated cortical thickness, surface area and local gyrification index (LGI). Whole-brain differences between patients and controls were investigated. RESULTS Surface analyses revealed frontoparietal patterns exhibiting altered cortical thickness, surface area and LGI in DI patients compared to controls. Higher cortical thickness was found in the right medial orbitofrontal cortex (p<0.05, cluster-wise probability [CWP] corrected). Smaller surface area in patients was found in the left inferior temporal gyrus, the precuneus, the pars orbitalis of the right frontal gyrus, and the lingual gyrus (p<0.05, CWP corr.). Lower LGI was found in the left postcentral, bilateral precentral, right middle temporal, inferior parietal, and superior parietal gyri (p<0.01, CWP corr.). CONCLUSION This study lends further support to the hypothesis that cortical features of distinct evolutionary and genetic origin differently contribute to the pathogenesis of delusional disorders. Regions in which atrophy was observed are part of neural circuits associated with perception, visuospatial control and self-awareness. The data are in line with the notion of a content-specific neural signature of DI.
Collapse
Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany.
| | - Markus Huber
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Erwin Kirchler
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Martin Karner
- Department of Radiology, General Hospital Bruneck, South Tyrol, Italy
| | - Fabio Sambataro
- Department of Experimental and Clinical Medical Sciences, Udine University, Italy
| | | | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| |
Collapse
|
14
|
Liu B, Zhang X, Cui Y, Qin W, Tao Y, Li J, Yu C, Jiang T. Polygenic Risk for Schizophrenia Influences Cortical Gyrification in 2 Independent General Populations. Schizophr Bull 2017; 43:673-680. [PMID: 27169464 PMCID: PMC5463795 DOI: 10.1093/schbul/sbw051] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Schizophrenia is highly heritable, whereas the effect of each genetic variant is very weak. Since clinical heterogeneity and complexity of schizophrenia is high, considerable effort has been made to relate genetic variants to underlying neurobiological aspects of schizophrenia (endophenotypes). Given the polygenic nature of schizophrenia, our goal was to form a measure of additive genetic risk and explore its relationship to cortical morphology. Utilizing the data from a recent genome-wide association study that included nearly 37 000 cases of schizophrenia, we computed a polygenic risk score (PGRS) for each subject in 2 independent and healthy general populations. We then investigated the effect of polygenic risk for schizophrenia on cortical gyrification calculated from 3.0T structural imaging data in the discovery dataset (N = 315) and replication dataset (N = 357). We found a consistent effect of the polygenic risk for schizophrenia on cortical gyrification in the inferior parietal lobules in 2 independent general-population samples. A higher PGRS was significantly associated with a lower local gyrification index in the bilateral inferior parietal lobles, where case-control differences have been reported in previous studies on schizophrenia. Our findings strongly support the effectiveness of both PGRSs and endophenotypes in establishing the genetic architecture of psychiatry. Our findings may provide some implications regarding individual differences in the genetic risk for schizophrenia to cortical morphology and brain development.
Collapse
Affiliation(s)
- Bing Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Xiaolong Zhang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yue Cui
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Wen Qin
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan Tao
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jin Li
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China;,Queensland Brain Institute, The University of Queensland, Brisbane, Australia;,Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
15
|
Cortical folding patterns are associated with impulsivity in healthy young adults. Brain Imaging Behav 2016; 11:1592-1603. [DOI: 10.1007/s11682-016-9618-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
16
|
Lee JS, Kim CY, Joo YH, Newell D, Bouix S, Shenton ME, Kubicki M. Increased diffusivity in gray matter in recent onset schizophrenia is associated with clinical symptoms and social cognition. Schizophr Res 2016; 176:144-150. [PMID: 27554199 PMCID: PMC5392041 DOI: 10.1016/j.schres.2016.08.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 08/09/2016] [Accepted: 08/11/2016] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Diffusion weighted MRI (dMRI) is a method sensitive to pathological changes affecting tissue microstructure. Most dMRI studies in schizophrenia, however, have focused solely on white matter. There is a possibility, however, that subtle changes in diffusivity exist in gray matter (GM). Accordingly, we investigated diffusivity in GM in patients with recent onset schizophrenia. METHODS We enrolled 45 patients and 21 age and sex-matched healthy controls. All subjects were evaluated using the short form of the Wechsler Adult Intelligence Scale, the Positive and Negative Syndrome Scale (PANSS), and the video based social cognition scale. DMRI and T1W images were acquired on a 3 Tesla magnet, and mean Fractional Anisotropy (FA), Trace (TR) and volume were calculated for each of the 68 cortical GM Regions of Interest parcellated using FreeSurfer. RESULTS There was no significant difference of FA and GM volume between groups after Bonferroni correction. For the dMRI measures, however, patients evinced increased TR in the left bank of the superior temporal sulcus, the right inferior parietal, the right inferior temporal, and the right middle temporal gyri. In addition, higher TR in the right middle temporal gyrus and the right inferior temporal gyrus, respectively, was associated with decreased social function and higher PANSS score in patients with schizophrenia. CONCLUSION This study demonstrates high sensitivity of dMRI to subtle pathology in GM in recent onset schizophrenia, as well as an association between increased diffusivity in temporal GM regions and abnormalities in social cognition and exacerbation of psychiatric symptoms.
Collapse
Affiliation(s)
- Jung Sun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chang-Yoon Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yeon Ho Joo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Dominick Newell
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Brockton Division, Brockton, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
17
|
Liu X, Zhuo C, Qin W, Zhu J, Xu L, Xu Y, Yu C. Selective functional connectivity abnormality of the transition zone of the inferior parietal lobule in schizophrenia. NEUROIMAGE-CLINICAL 2016; 11:789-795. [PMID: 27354957 PMCID: PMC4910186 DOI: 10.1016/j.nicl.2016.05.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 05/17/2016] [Accepted: 05/31/2016] [Indexed: 12/02/2022]
Abstract
Structural and functional alterations in the inferior parietal lobule (IPL) in schizophrenia have been frequently reported; however, the IPL connectivity changes in schizophrenia remain largely unknown. Based on heterogeneity of the IPL in structure, connection and function, we hypothesize that the resting-state functional connectivities (rsFCs) of the IPL subregions are differentially affected in schizophrenia. This study included 95 schizophrenia patients and 104 healthy controls. The IPL subregions were defined according to a previous in vivo connection-based parcellation study. We calculated the rsFC of each IPL subregion and compared them between the two groups while controlling for the effects of age, gender, and grey matter volume. Among the six subregions of the left IPL and the five subregions of the right IPL, only the bilateral PFm (a transition zone of the IPL) subregions exhibited abnormal rsFC in schizophrenia. Specifically, the left PFm showed increased rsFC with the bilateral lingual gyri in schizophrenia patients than in healthy controls. The right PFm exhibited increased rsFC with the right lingual gyrus and inferior occipital gyrus, and bilateral mid-cingulate and sensorimotor cortices in schizophrenia patients. These findings suggest a selective rsFC abnormality in the IPL subregions in schizophrenia, characterized by the increased rsFC between the PFm subregion of the IPL and the visual and sensorimotor areas. Investigation of the subregional-level rsFC changes of the IPL in schizophrenia The PFm is only IPL subregion with significant rsFC changes in schizophrenia. Suggesting a selective rsFC abnormality in the IPL subregions in schizophrenia
Collapse
Affiliation(s)
- Xingyun Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chuanjun Zhuo
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jiajia Zhu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Lixue Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yongjie Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
| |
Collapse
|
18
|
Task-independent effects are potential confounders in longitudinal imaging studies of learning in schizophrenia. NEUROIMAGE-CLINICAL 2015; 10:159-71. [PMID: 26759790 PMCID: PMC4683460 DOI: 10.1016/j.nicl.2015.11.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2015] [Revised: 11/05/2015] [Accepted: 11/22/2015] [Indexed: 11/21/2022]
Abstract
Learning impairment is a core deficit in schizophrenia that impacts on real-world functioning and yet, elucidating its underlying neural basis remains a challenge. A key issue when interpreting learning-task experiments is that task-independent changes may confound interpretation of task-related signal changes in neuroimaging studies. The nature of these task-independent changes in schizophrenia is unknown. Therefore, we examined task-independent “time effects” in a group of participants with schizophrenia contrasted with healthy participants in a longitudinal fMRI learning-experiment designed to allow for examination of non-specific effects of time. Flanking the learning portions of the experiment with a task-of-no-interest allowed us to extract task-independent BOLD changes. Task-independent effects occurred in both groups, but were more robust in the schizophrenia group. There was a significant interaction effect between group and time in a distributed activity pattern that included inferior and superior temporal regions, frontal areas (left anterior insula and superior medial gyri), and parietal areas (posterior cingulate cortices and precuneus). This pattern showed task-independent linear decrease in BOLD amplitude over the two scanning sessions for the schizophrenia group, but showed either opposite effect or no activity changes for the control group. There was a trend towards a correlation between task-independent effects and the presence of more negative symptoms in the schizophrenia group. The strong interaction between group and time suggests that both the scanning experience as a whole and the transition between task-types evokes a different response in persons with schizophrenia and may confound interpretation of learning-related longitudinal imaging experiments if not explicitly considered. A robust method was used to identify task-independent fMRI BOLD changes in a multiday learning experiment in schizophrenia Task-independent effects were apparent in healthy control group and schizophrenia but differed in direction and magnitude In schizophrenia they were greater in magnitude and most prominent in areas of the salience and default mode networks Unless properly accounted for, these effects will compromise precise interpretation of fMRI learning data in schizophrenia.
Collapse
|
19
|
Dazzan P. Neuroimaging biomarkers to predict treatment response in schizophrenia: the end of 30 years of solitude? DIALOGUES IN CLINICAL NEUROSCIENCE 2015. [PMID: 25733954 PMCID: PMC4336919 DOI: 10.31887/dcns.2014.16.4/pdazzan] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Studies that have used structural magnetic resonance imaging (MRI) suggest that individuals with psychoses have brain alterations, particularly in frontal and temporal cortices, and in the white matter tracts that connect them. Furthermore, these studies suggest that brain alterations may be particularly prominent, already at illness onset, in those individuals more likely to have poorer outcomes (eg, higher number of hospital admissions, and poorer symptom remission, level of functioning, and response to the first treatment with antipsychotic drugs). The fact that, even when present, these brain alterations are subtle and distributed in nature, has limited, until now, the utility of MRI in the clinical management of these disorders. More recently, MRI approaches, such as machine learning, have suggested that these neuroanatomical biomarkers can be used for direct clinical benefits. For example, using support vector machine, MRI data obtained at illness onset have been used to predict, with significant accuracy, whether a specific individual is likely to experience a remission of symptoms later on in the course of the illness. Taken together, this evidence suggests that validated, strong neuroanatomical markers could be used not only to inform tailored intervention strategies in a single individual, but also to allow patient stratification in clinical trials for new treatments.
Collapse
Affiliation(s)
- Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, UK; National Institute for Health Research, Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| |
Collapse
|
20
|
Hirjak D, Kubera KM, Wolf RC, Thomann AK, Hell SK, Seidl U, Thomann PA. Local brain gyrification as a marker of neurological soft signs in schizophrenia. Behav Brain Res 2015; 292:19-25. [DOI: 10.1016/j.bbr.2015.05.048] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 05/22/2015] [Accepted: 05/27/2015] [Indexed: 01/28/2023]
|
21
|
Palaniyappan L, Mahmood J, Balain V, Mougin O, Gowland PA, Liddle PF. Structural correlates of formal thought disorder in schizophrenia: An ultra-high field multivariate morphometry study. Schizophr Res 2015; 168:305-12. [PMID: 26232240 PMCID: PMC4604249 DOI: 10.1016/j.schres.2015.07.022] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Revised: 06/28/2015] [Accepted: 07/13/2015] [Indexed: 01/15/2023]
Abstract
BACKGROUND Persistent formal thought disorder (FTD) is one of the most characteristic features of schizophrenia. Several neuroimaging studies report spatially distinct neuroanatomical changes in association with FTD. Given that most studies so far have employed a univariate localisation approach that obscures the study of covarying interregional relationships, the present study focussed on the multivariate systemic pattern of anatomical changes that contribute to FTD. METHODS Speech samples from nineteen medicated clinically stable schizophrenia patients and 20 healthy controls were evaluated for subtle formal thought disorder. Ultra high-field (7T) anatomical Magnetic Resonance Imaging scans were obtained from all subjects. Multivariate morphometric patterns were identified using an independent component approach (source based morphometry). Using multiple regression analysis, the morphometric patterns predicting positive and negative FTD scores were identified. RESULTS Morphometric variations in grey matter predicted a substantial portion of inter-individual variance in negative but not positive FTD. A pattern of concomitant striato-insular/precuneus reduction along with frontocingular grey matter increase had a significant association with negative FTD. CONCLUSIONS These results suggest that concomitant increase and decrease in grey matter occur in association with persistent negative thought disorder in clinically stable individuals with schizophrenia.
Collapse
Affiliation(s)
- Lena Palaniyappan
- Translational Neuroimaging for Mental Health, Division of Psychiatry & Applied Psychology, Institute of Mental Health, University of Nottingham, UK; Early Intervention in Psychosis, Nottinghamshire Healthcare NHS Trust, Nottingham, UK.
| | - Jenaid Mahmood
- Translational Neuroimaging for Mental Health, Division of Psychiatry & Applied Psychology, Institute of Mental Health, University of Nottingham, UK
| | - Vijender Balain
- Penticton Regional Hospital, Penticton, British Columbia, Canada
| | - Olivier Mougin
- Sir Peter Mansfield Magnetic Resonance Centre, School of Physics, University of Nottingham, UK
| | - Penny A. Gowland
- Sir Peter Mansfield Magnetic Resonance Centre, School of Physics, University of Nottingham, UK
| | - Peter F. Liddle
- Translational Neuroimaging for Mental Health, Division of Psychiatry & Applied Psychology, Institute of Mental Health, University of Nottingham, UK
| |
Collapse
|
22
|
Nenadic I, Yotter RA, Sauer H, Gaser C. Patterns of cortical thinning in different subgroups of schizophrenia. Br J Psychiatry 2015; 206:479-83. [PMID: 25657354 DOI: 10.1192/bjp.bp.114.148510] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 09/29/2014] [Indexed: 12/18/2022]
Abstract
BACKGROUND Alterations of cortical thickness have been shown in imaging studies of schizophrenia but it is unclear to what extent they are related to disease phenotype (including symptom profile) or other aspects such as genetic liability, disease onset and disease progression. AIMS To test the hypothesis that cortical thinning would vary across different subgroups of patients with chronic schizophrenia, delineated according to their symptom profiles. METHOD We compared high-resolution magnetic resonance imaging data of 87 patients with DSM-IV schizophrenia with 108 controls to detect changes in cortical thickness across the entire brain (P<0.05, false discovery rate-adjusted). The patient group was divided into three subgroups, consisting of patients with predominantly negative, disorganised or paranoid symptoms. RESULTS The negative symptoms subgroup showed the most extensive cortical thinning, whereas thinning in the other subgroups was focused in prefrontal and temporal cortical subregions. CONCLUSIONS Our findings support growing evidence of potential subtypes of schizophrenia that have different brain structural deficit profiles.
Collapse
Affiliation(s)
- Igor Nenadic
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Rachel A Yotter
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Heinrich Sauer
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Christian Gaser
- Igor Nenadic, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Rachel A. Yotter, PhD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany, and Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, USA; Heinrich Sauer, MD, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Christian Gaser, PhD, Department of Psychiatry and Psychotherapy and Department of Neurology, Jena University Hospital, Jena, Germany
| |
Collapse
|
23
|
Dazzan P, Arango C, Fleischacker W, Galderisi S, Glenthøj B, Leucht S, Meyer-Lindenberg A, Kahn R, Rujescu D, Sommer I, Winter I, McGuire P. Magnetic resonance imaging and the prediction of outcome in first-episode schizophrenia: a review of current evidence and directions for future research. Schizophr Bull 2015; 41:574-83. [PMID: 25800248 PMCID: PMC4393706 DOI: 10.1093/schbul/sbv024] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
UNLABELLED Magnetic Resonance Imaging (MRI) measures are promising outcome markers for schizophrenia, since regional frontal and temporal grey matter volumes reductions, and enlargement of the ventricles, have been associated with outcome in this disorder. However, a number of methodological issues have limited the potential clinical utility of these findings. This article reviewed studies that examined brain structure at illness onset as a predictor of outcome, discusses the limitations of the findings, and highlights the challenges that would need to be addressed if structural data are to inform the management of an individual patient. METHODS Using a set of a priori criteria, we systematically searched Medline and EMBASE databases for articles evaluating brain structure at the time of the first psychotic episode and assessed response to treatment, symptomatic outcome, or functional outcome at any point in the first 12 months of illness. RESULTS The 11 studies identified suggest that alterations in medial temporal and prefrontal cortical areas, and in the networks that connect them with subcortical structures, are promising neuroanatomical markers of poor symptomatic and functional outcomes. CONCLUSION Neuroimaging data, possibly in combination with other biomarkers of disease, could help stratifying patients with psychoses to generate patient clusters clinically meaningful, and useful to detect true therapeutic effects in clinical trials. Optimization of Treatment and Management of Schizophrenia in Europe (OPTiMiSE), a large multicenter study funded by the FP7 European Commission, could generate these much-needed findings.
Collapse
Affiliation(s)
- Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK;
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, CIBERSAM, Madrid, Spain
| | | | | | - Birte Glenthøj
- Faculty of Health and Medical Sciences, Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Psychiatric Hospital Center Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - Stephan Leucht
- Department of Psychiatry and Psychotherapy, Technische Universität München, München, Germany
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Mannheim, Germany
| | - Rene Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands
| | - Dan Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - Iris Sommer
- Department of Psychiatry, Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands
| | - Inge Winter
- Department of Psychiatry, Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry;,National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK
| |
Collapse
|
24
|
Tseng CEJ, Chien YL, Liu CM, Wang HLS, Hwu HG, Tseng WYI. Altered cortical structures and tract integrity of the mirror neuron system in association with symptoms of schizophrenia. Psychiatry Res 2015; 231:286-91. [PMID: 25659475 DOI: 10.1016/j.pscychresns.2015.01.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2014] [Revised: 10/17/2014] [Accepted: 01/11/2015] [Indexed: 11/26/2022]
Abstract
The mirror neuron system (MNS) may be implicated in schizophrenia. This study investigated MNS structures, including the pars opercularis (Pop), the supramarginal gyrus (SMg), the third branch of the superior longitudinal fasciculus, and callosal fibers interconnecting bilateral Pop (CC-Pop) and SMg (CC-SMg), and clarified their relationships with positive and negative symptoms of schizophrenia. Participants comprised 32 schizophrenia patients and 32 matched controls who received T1-weighted structural magnetic resonance imaging (MRI, T1WI) and diffusion spectrum imaging (DSI). The cortical measures were computed from the T1WI data. Tract integrity was assessed using a tractography-based analysis of the generalized fractional anisotropy (GFA) derived from the DSI data. Pearson׳s correlations and multiple linear regression analysis were used to investigate the associations between MNS structures and positive and negative symptom scores of schizophrenia. Cortical thickness in bilateral Pop and SMg were significantly thinner and mean GFA of CC-Pop was significantly decreased in patients. Negative symptoms were significantly correlated with left SMg volume, and positive symptoms were significantly correlated with right SMg thickness. Multiple linear regression analysis showed left SMg volume to be the strongest contributor to the negative symptoms. The association between left SMg volume and negative symptoms may reflect the degree of social cognition impairment in schizophrenia.
Collapse
Affiliation(s)
- Chieh-En Jane Tseng
- Center for Optoelectronic Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yi-Ling Chien
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Chih-Min Liu
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsiao-Lan Sharon Wang
- Center for Optoelectronic Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hai-Gwo Hwu
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan; Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan.
| | - Wen-Yih Isaac Tseng
- Center for Optoelectronic Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan; Molecular Imaging Center, National Taiwan University, Taipei, Taiwan.
| |
Collapse
|
25
|
Nanda P, Tandon N, Mathew IT, Giakoumatos CI, Abhishekh HA, Clementz B, Pearlson G, Sweeney J, Tamminga C, Keshavan MS. Local gyrification index in probands with psychotic disorders and their first-degree relatives. Biol Psychiatry 2014; 76:447-55. [PMID: 24369266 PMCID: PMC4032376 DOI: 10.1016/j.biopsych.2013.11.018] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 11/12/2013] [Accepted: 11/14/2013] [Indexed: 12/11/2022]
Abstract
BACKGROUND Psychotic disorders are characterized by aberrant neural connectivity. Alterations in gyrification, the pattern and degree of cortical folding, may be related to the early development of connectivity. Past gyrification studies have relatively small sample sizes, yield mixed results for schizophrenia, and are scant for psychotic bipolar and schizoaffective (SZA) disorders and for relatives of these conditions. Here, we examine gyrification in psychotic disorder patients and their first-degree relatives as a possible endophenotype. METHODS Regional local gyrification index (LGI) values, as measured by FreeSurfer software, were compared between 243 control subjects, 388 psychotic disorder probands, and 300 of their first-degree relatives. For patients, LGI values were examined grouped across psychotic diagnoses and then separately for schizophrenia, SZA, and bipolar disorder. Familiality (heritability) values and correlations with clinical measures were also calculated for regional LGI values. RESULTS Probands exhibited significant hypogyria compared with control subjects in three brain regions and relatives with Axis II cluster A disorders showed nearly significant hypogyria in these same regions. Local gyrification index values in these locations were significantly heritable and uncorrelated with any clinical measure. Observations of significant hypogyria were most widespread in SZA. CONCLUSIONS Psychotic disorders appear to be characterized by significant regionally localized hypogyria, particularly in cingulate cortex. This abnormality may be a structural endophenotype marking risk for psychotic illness and it may help elucidate etiological underpinnings of psychotic disorders.
Collapse
Affiliation(s)
- Pranav Nanda
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, Columbia University College of Physicians & Surgeons, New York, NY
| | - Neeraj Tandon
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, Baylor College ofMedicine, Houston, TX
| | - Ian T Mathew
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA
| | | | | | - Brett Clementz
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, Georgia, Department of Neuroscience, BioImaging Research Center, University of Georgia, Athens, Georgia
| | - Godfrey Pearlson
- Olin Neuropsychiatry Research Center, Institute ofLiving, Hartford, Connecticut, Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Connecticut
| | - John Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Carol Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
| |
Collapse
|
26
|
|
27
|
Gurvich C, Maller JJ, Lithgow B, Haghgooie S, Kulkarni J. Vestibular insights into cognition and psychiatry. Brain Res 2013; 1537:244-59. [PMID: 24012768 DOI: 10.1016/j.brainres.2013.08.058] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2013] [Revised: 08/28/2013] [Accepted: 08/29/2013] [Indexed: 12/21/2022]
Abstract
The vestibular system has traditionally been thought of as a balance apparatus; however, accumulating research suggests an association between vestibular function and psychiatric and cognitive symptoms, even when balance is measurably unaffected. There are several brain regions that are implicated in both vestibular pathways and psychiatric disorders. The present review examines the anatomical associations between the vestibular system and various psychiatric disorders. Despite the lack of direct evidence for vestibular pathology in the key psychiatric disorders selected for this review, there is a substantial body of literature implicating the vestibular system in each of the selected psychiatric disorders. The second part of this review provides complimentary evidence showing the link between vestibular dysfunction and vestibular stimulation upon cognitive and psychiatric symptoms. In summary, emerging research suggests the vestibular system can be considered a potential window for exploring brain function beyond that of maintenance of balance, and into areas of cognitive, affective and psychiatric symptomology. Given the paucity of biological and diagnostic markers in psychiatry, novel avenues to explore brain function in psychiatric disorders are of particular interest and warrant further exploration.
Collapse
Affiliation(s)
- Caroline Gurvich
- Monash Alfred Psychiatry Research Centre, The Alfred Hospital and Monash University Central Clinical School, Melbourne, VIC 3004, Australia.
| | | | | | | | | |
Collapse
|
28
|
Müller VI, Cieslik EC, Laird AR, Fox PT, Eickhoff SB. Dysregulated left inferior parietal activity in schizophrenia and depression: functional connectivity and characterization. Front Hum Neurosci 2013; 7:268. [PMID: 23781190 PMCID: PMC3679482 DOI: 10.3389/fnhum.2013.00268] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Accepted: 05/24/2013] [Indexed: 11/23/2022] Open
Abstract
The inferior parietal cortex (IPC) is a heterogeneous region that is known to be involved in a multitude of diverse different tasks and processes, though its contribution to these often-complex functions is yet poorly understood. In a previous study we demonstrated that patients with depression failed to deactivate the left IPC during processing of congruent audiovisual information. We now found the same dysregulation (same region and condition) in schizophrenia. By using task-independent (resting state) and task-dependent meta-analytic connectivity modeling (MACM) analyses we aimed at characterizing this particular region with regard to its connectivity and function. Across both approaches, results revealed functional connectivity of the left inferior parietal seed region with bilateral IPC, precuneus and posterior cingulate cortex (PrC/PCC), medial orbitofrontal cortex (mOFC), left middle frontal (MFG) as well as inferior frontal (IFG) gyrus. Network-level functional characterization further revealed that on the one hand, all interconnected regions are part of a network involved in memory processes. On the other hand, sub-networks are formed when emotion, language, social cognition and reasoning processes are required. Thus, the IPC-region that is dysregulated in both depression and schizophrenia is functionally connected to a network of regions which, depending on task demands may form sub-networks. These results therefore indicate that dysregulation of left IPC in depression and schizophrenia might not only be connected to deficits in audiovisual integration, but is possibly also associated to impaired memory and deficits in emotion processing in these patient groups.
Collapse
Affiliation(s)
- Veronika I Müller
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Düsseldorf, Germany ; Department of Neuroscience and Medicine, Research Center Jülich, INM-1 Jülich, Germany ; Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University Aachen, Germany
| | | | | | | | | |
Collapse
|
29
|
|
30
|
Ibarretxe-Bilbao N, Junque C, Segura B, Baggio HC, Marti MJ, Valldeoriola F, Bargallo N, Tolosa E. Progression of cortical thinning in early Parkinson's disease. Mov Disord 2012; 27:1746-53. [PMID: 23124622 DOI: 10.1002/mds.25240] [Citation(s) in RCA: 95] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2012] [Revised: 08/03/2012] [Accepted: 09/16/2012] [Indexed: 01/23/2023] Open
Abstract
The aim of this study was to investigate the progression of cortical thinning and gray-matter (GM) volume loss in early Parkinson's disease (PD). MRI and neuropsychological assessment were obtained at baseline and follow-up (mean ± standard deviation = 35.50 ± 1.88 months) in a group of 16 early-PD patients (H & Y stage ≤II and disease duration ≤5 years) and 15 healthy controls matched for age, gender, and years of education. FreeSurfer software was used for the analysis of cortical thickness as well as for cortical and subcortical volumetric analyses. Voxel-based morphometry analysis was performed using SPM8. Compared to controls, PD patients showed greater regional cortical thinning in bilateral frontotemporal regions as well as greater over-time total GM loss and amygdalar volume reduction. PD patients and controls presented similar over-time changes in cognitive functioning. In early-PD patients, global GM loss, amygdalar atrophy, and cortical thinning in frontotemporal regions are specifically associated with the PD-degenerative process.
Collapse
Affiliation(s)
- Naroa Ibarretxe-Bilbao
- Centro de Investigación en Red de Enfermedades Neurodegenerativas, Hospital Clínic de Barcelona, Catalonia, Spain
| | | | | | | | | | | | | | | |
Collapse
|
31
|
Schmitt A, Falkai P. Schizophrenia: from risk genes to outcome and comorbidity. Eur Arch Psychiatry Clin Neurosci 2012; 262:547-8. [PMID: 22923189 DOI: 10.1007/s00406-012-0358-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|