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Feng S, Huang Y, Li H, Zhou S, Ning Y, Han W, Zhang Z, Liu C, Li J, Zhong L, Wu K, Wu F. Dynamic effective connectivity in the cerebellar dorsal dentate nucleus and the cerebrum, cognitive impairment, and clinical correlates in patients with schizophrenia. Schizophr Res 2024:S0920-9964(24)00184-1. [PMID: 38729789 DOI: 10.1016/j.schres.2024.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/16/2024] [Accepted: 05/03/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Schizophrenia (SZ) is characterized by disconnected cerebral networks. Recent studies have shown that functional connectivity between the cerebellar dorsal dentate nucleus (dDN) and cerebrum is correlated with psychotic symptoms, and processing speed in SZ patients. Dynamic effective connectivity (dEC) is a reliable indicator of brain functional status. However, the dEC between the dDN and cerebrum in patients with SZ remains largely unknown. METHODS Resting-state functional MRI data, symptom severity, and cognitive performance were collected from 74 SZ patients and 53 healthy controls (HC). Granger causality analysis and sliding time window methods were used to calculate dDN-based dEC maps for all subjects, and k-means clustering was performed to obtain several dEC states. Finally, between-group differences in dynamic effective connectivity variability (dECV) and clinical correlations were obtained using two-sample t-tests and correlation analysis. RESULTS We detected four dEC states from the cerebrum to the right dDN (IN states) and three dEC states from the right dDN to the cerebrum (OUT states), with SZ group having fewer transitions in the OUT states. SZ group had increased dECV from the right dDN to the right middle frontal gyrus (MFG) and left lingual gyrus (LG). Correlations were found between the dECV from the right dDN to the right MFG and symptom severity and between the dECV from the right dDN to the left LG and working memory performance. CONCLUSIONS This study reveals a dynamic causal relationship between cerebellar dDN and the cerebrum in SZ and provides new evidence for the involvement of cerebellar neural circuits in neurocognitive functions in SZ.
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Affiliation(s)
- Shixuan Feng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuanyuan Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Hehua Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Sumiao Zhou
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China
| | - Wei Han
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ziyun Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chenyu Liu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Junhao Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liangda Zhong
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kai Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China; Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.
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Heidari Z, Mahmoudzadeh-Sagheb H, Shakiba M, Gorgich EAC. Brain Structural Changes in Schizophrenia Patients Compared to the Control: An MRI-based Cavalieri's Method. Basic Clin Neurosci 2023; 14:355-363. [PMID: 38077177 PMCID: PMC10700815 DOI: 10.32598/bcn.2021.3481.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/01/2021] [Accepted: 08/07/2021] [Indexed: 04/01/2024] Open
Abstract
INTRODUCTION Schizophrenia is a severe psychotic brain disorder. One of the potential mechanisms underlying this disease may be volumetric changes in some brain regions. The present study aimed to employ magnetic resonance imaging (MRI) to estimate and quantitatively analyze the brain of patients with schizophrenia compared to the controls. METHODS This case-control study was conducted on MRI scans of 20 patients with schizophrenia and 20 healthy controls in Zahedan City, Southeastern Iran. MRIs with 4 mm slice thickness and 5 mm intervals in coronal and sagittal planes were captured. Then, quantitative parameters, including volume and volume density of various brain regions, were estimated in both groups using Cavalieri's point counting method. Data analyses were performed using the Mann-Whitney U test. RESULTS The findings of this investigation revealed that volumes of gray matter, hippocampus, and gray/white matter in patients with schizophrenia were significantly lower than the controls (P<0.05). The volumes of lateral ventricles in patients with schizophrenia (36.60±4.32 mm3) were significantly higher than the healthy individuals (30.10±7.98 mm3). However, there were no statistically significant differences between the two groups regarding the changes in the brain's total volume, cerebral hemispheres, white matter, brain stem, cerebellum, and corpus callosum (P>0.05). CONCLUSION Volumetric estimations on brain MRI-based stereological technique can be helpful for elucidation of structural changes, following up the treatment trends, and evaluating the therapeutic situations in schizophrenia patients. Volumetric alternations in specific brain areas might be linked to cognitive impairments and the severity of symptoms in patients with schizophrenia. Further research is needed in this regard. HIGHLIGHTS Volumetric changes occur in certain regions of the brain of schizophrenia patients.Structural changes in the brain of schizophrenia patients are associated with the severity of clinical manifestations.A brain MRI-based stereological technique can clarify neuropathology and assess therapeutic efficiency in patients with schizophrenia. PLAIN LANGUAGE SUMMARY Schizophrenia is a severe neuropsychiatric disorder with worldwide prevalence that disrupts a person's social life. It's characterized by progressive neuroanatomical alterations in both gray and white matter in different brain regions and associated with changes in the structural and functioning of some critical brain circuits. Several factors have been suggested to be involved in the development and progression of the disease including alternations and disconnection in myelin, genetic factors, neurodegenerative process, neuroinflammation, neurodevelopmental deficiencies, the number of dopaminergic neurons and volumetric changes in different areas of the brain. It has shown that quantitative volumetric brain measurements on magnetic resonance imaging (MRI) scans in patients with neurodegenerative disease owing to selective regional atrophy are beneficial for clinicians to ascertain disease progression and to evaluate volume alternations and response to treatment. Thus, we investigated structural changes of the brain in schizophrenia patients on MR images using accurate Cavalieri's estimation and compared to healthy controls. The findings demonstrated that some structural changes occurs in various brain areas which involved in many critical roles in normal brain's functionality and connectivity. On the other hand, these changes are associated with cognitive impairments and the severity of clinical symptoms in patients with schizophrenia. It's appears that elucidation of the different pathways of various structural abnormalities related to schizophrenia is required to recognize and determine the role of discrete pathophysiological phenomena in mental illness development and progress.
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Affiliation(s)
- Zahra Heidari
- Infectious Diseases and Tropical Medicine Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
- Department of Histology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Hamidreza Mahmoudzadeh-Sagheb
- Infectious Diseases and Tropical Medicine Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
- Department of Histology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Mansour Shakiba
- Department of Neurology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
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Ji R, Zhou M, Ou N, Chen H, Li Y, Zhuo L, Huang X, Huang G. Large-scale networks underlie cognitive insight differs between untreated adolescents ongoing their first schizophrenic episode and their reference non-schizophrenic mates. Heliyon 2022; 8:e10818. [PMID: 36217472 PMCID: PMC9547213 DOI: 10.1016/j.heliyon.2022.e10818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/03/2022] [Accepted: 09/22/2022] [Indexed: 10/25/2022] Open
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Cao X, Li Q, Liu S, Li Z, Wang Y, Cheng L, Yang C, Xu Y. Enhanced Resting-State Functional Connectivity of the Nucleus Accumbens in First-Episode, Medication-Naïve Patients With Early Onset Schizophrenia. Front Neurosci 2022; 16:844519. [PMID: 35401094 PMCID: PMC8990232 DOI: 10.3389/fnins.2022.844519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 02/01/2022] [Indexed: 01/10/2023] Open
Abstract
There is abundant evidence that early onset schizophrenia (EOS) is associated with abnormalities in widespread regions, including the cortical, striatal, and limbic areas. As a main component of the ventral striatum, the nucleus accumbens (NAc) is implicated in the pathology of schizophrenia. However, functional connection patterns of NAc in patients with schizophrenia, especially EOS, are seldom explored. A total of 78 first-episode, medication-naïve patients with EOS and 90 healthy controls were recruited in the present study, and resting-state, seed-based functional connectivity (FC) analyses were performed to investigate temporal correlations between NAc and the rest of the brain in the two groups. Additionally, correlation analyses were done between regions showing group differences in NAc functional integration and clinical features of EOS. Group comparison found enhanced FC of the NAc in the EOS group relative to the HCs with increased FC in the right superior temporal gyrus and left superior parietal gyrus with the left NAc region of interest (ROI) and elevated FC in left middle occipital gyrus with the right NAc ROI. No significant associations were found between FC strength and symptom severity as well as the age of the patients. Our findings reveal abnormally enhanced FC of the NAc with regions located in the temporal, parietal, and occipital areas, which were implicated in auditory/visual processing, sensorimotor integration, and cognitive functions. The results suggest disturbed relationships between regions subserving reward, salience processing, and regions subserving sensory processing as well as cognitive functions, which may deepen our understanding of the role of NAc in the pathology of EOS.
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Affiliation(s)
- Xiaohua Cao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qiang Li
- Shanxi Provincial Corps Hospital of Chinese People’s Armed Police Force, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zexuan Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Long Cheng
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Chengxiang Yang
- Department of Psychiatry, Shanxi Bethune Hospital, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
- Department of Mental Health, Shanxi Medical University, Taiyuan, China
- Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, Taiyuan, China
- *Correspondence: Yong Xu, ;
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Xu X, He B, Lin Z, Wang X, Yin J, Luo X, Luo S, Liang C, Wen X, Xiong S, Zhu D, Fu J, Lv D, Dai Z, Lin J, Li Y, Chen W, Luo Z, Wang Y, Ma G. SAP97 rs3915512 Polymorphism Affects the Neurocognition of Schizophrenic Patients: A Genetic Neuroimaging Study. Front Genet 2020; 11:572414. [PMID: 33133161 PMCID: PMC7578398 DOI: 10.3389/fgene.2020.572414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 09/17/2020] [Indexed: 11/13/2022] Open
Abstract
Our previous study suggested that the synapse-associated protein 97 (SAP97) gene rs3915512 polymorphism may influence neurocognition in schizophrenia patients. Neuroimaging studies have shown a possible association between cognitive function and brain activity/connectivity. Considering the poor understanding of whether the disease state and SAP97 rs3915512 polymorphism have interactive effects on brain activity/connectivity, 52 first-episode schizophrenia (FES) patients and 52 healthy controls were genotyped using blood DNA samples and underwent magnetic resonance imaging scanning. A two-way ANCOVA model was performed with rs3915512 genotypes and disease state as the between-subject factors. A significant disease × SAP97 interactive effect was found for the amplitude of low-frequency fluctuation (ALFF) in the right supplementary motor area, left rolandic opercularis area (ROC-L), and bilateral middle occipital gyrus (MOG). In addition, among auditory/visual-related brain areas, a significant interactive effect was found for resting-state functional connectivity (RSFC) between the MOG-L and bilateral superior temporal gyrus (STG) in the STG-L with ROC-R, right cuneus (Cu-R), left fusiform (Fu-L), and left lingual gyrus (LG-L). Positive correlations were found between ALFF in the ROC-L and motor speed scores, between RSFC in the STG-L and LG-L and between Brief Assessment of Cognition in Schizophrenia verbal memory scores in FES. The SAP97 rs3915512 polymorphism may affect neurocognitive function in patients with schizophrenia by changing the brain activity and connectivity of auditory/visual-related brain areas.
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Affiliation(s)
- Xusan Xu
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.,Maternal and Children's Health Research Institute, Shunde Women and Children's Hospital, Guangdong Medical University, Foshan, China
| | - Bin He
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zhixiong Lin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xiaoxia Wang
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jingwen Yin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xudong Luo
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Shucun Luo
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Chunmei Liang
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xia Wen
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Susu Xiong
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Dongjian Zhu
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jiawu Fu
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Dong Lv
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zhun Dai
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Juda Lin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - You Li
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Wubiao Chen
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zebin Luo
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Yajun Wang
- Clinical Research Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Guoda Ma
- Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.,Maternal and Children's Health Research Institute, Shunde Women and Children's Hospital, Guangdong Medical University, Foshan, China
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Interaction of emotion and cognitive control along the psychosis continuum: A critical review. Int J Psychophysiol 2020; 147:156-175. [DOI: 10.1016/j.ijpsycho.2019.11.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 10/29/2019] [Accepted: 11/05/2019] [Indexed: 12/11/2022]
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Lian N, Lv H, Guo W, Shen Y, Wu R, Liu Y, Zhu F, Hu M, Ou J, Zhao J. A comparative study of magnetic resonance imaging on the gray matter and resting-state function in prodromal and first-episode schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2018; 177:537-545. [PMID: 30105860 DOI: 10.1002/ajmg.b.32644] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 12/06/2017] [Accepted: 04/16/2018] [Indexed: 12/11/2022]
Abstract
It is very difficult to predict the future development possibility of schizophrenia through the clinical symptoms of the high-risk cases. Therefore, how to determine the possibility of developing into schizophrenia individuals before the onset of the diseases are particularly important. The study investigated cerebral gray matter volume differences and resting-state functional connections among patients with psychosis risk syndrome (PRS), patients with first-episode schizophrenic (FES), and healthy controls (HC), aiming to provide scientific clinical evidence for schizophrenia early identification and intervention. A total of 19 PRS patients, 18 FES patients, and 29 HC were recruited. Gray matter volume and amplitude of low-frequency fluctuation (fALFF) during resting-state functional studies were measured. Comparison of gray matter volumes showed that PRS and FES groups had common reduced gray matter volume in the right caudate. PRS and FES patients showed altered connectivity mainly in the semantic processing-related brain areas. fALFF analysis found that PRF and FES patients had significant differences in fALFF values of the brain region mainly located in the subcortical network, visual recognition network, and auditory network. In addition, PRF individuals had a higher fALFF value and a lower fALFF value in the anterior wedge of the cerebral network than the HC group. Gray matter volume loss between related brain areas might appear prior to illness onset. Similar fALFF values occurred in PRS and FES groups indicated that multiple brain regions of neuronal activity abnormalities and unconventional neural network mechanism have been existed in PRS patients.
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Affiliation(s)
- Nan Lian
- Department of Psychiatry, First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.,Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Hailong Lv
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Wenbing Guo
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Yidong Shen
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Renlong Wu
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Yong Liu
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Furong Zhu
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Maorong Hu
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Jianjun Ou
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
| | - Jingping Zhao
- Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,The National Clinical Research Center for Mental Health Disorders, Changsha, China.,The National Technology Institute of Psychiatry, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, Changsha, China
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Kim GW, Yoon W, Jeong GW. Whole-brain volume alteration and its correlation with anxiety severity in patients with obsessive-compulsive disorder and generalized anxiety disorder. Clin Imaging 2018; 50:164-170. [PMID: 29567629 DOI: 10.1016/j.clinimag.2018.03.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 01/25/2018] [Accepted: 03/09/2018] [Indexed: 11/16/2022]
Abstract
PURPOSE To evaluate the differential gray matter (GM) and white matter volume alterations between healthy controls and patients with obsessive-compulsive disorder (OCD) and generalized anxiety disorder (GAD) using voxel-based morphometry (VBM). METHOD Patients with OCD and GAD, and healthy controls underwent MR. RESULTS Patients with GAD showed significantly decreased GM volume in the medial prefrontal cortex (mPFC) compared with patients with OCD (p < 0.001). The GM volumes of the mPFC in patients with GAD were negatively correlated with Hamilton Anxiety Rating Scales. CONCLUSION Our findings indicate that the mPFC volume abnormality may be associated with anxiety disorder in patients with GAD rather than OCD.
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Affiliation(s)
- Gwang-Won Kim
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, Republic of Korea
| | - Woong Yoon
- Department of Radiology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Gwang-Woo Jeong
- Department of Radiology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea.
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Whole brain volume changes and its correlation with clinical symptom severity in patients with schizophrenia: A DARTEL-based VBM study. PLoS One 2017; 12:e0177251. [PMID: 28520743 PMCID: PMC5435302 DOI: 10.1371/journal.pone.0177251] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 04/21/2017] [Indexed: 11/23/2022] Open
Abstract
The purpose of this study was to evaluate gray matter (GM) and white matter (WM) volume alterations in whole-brain structures in patients with schizophrenia and healthy controls using voxel-based morphometry (VBM), and further to assess the correlation between GM and WM volume variations and symptom severity in schizophrenia. A total of 22 patients with schizophrenia and 22 age-matched healthy controls participated. Magnetic resonance image data were processed using SPM8 software with diffeomorphic anatomical registration via an exponentiated Lie algebra (DARTEL) algorithm. Patients with schizophrenia exhibited significantly decreased GM volumes of the insula, superior temporal gyrus (STG), gyrus rectus, and anterior cingulate cortex (ACC) compared with healthy controls. The GM volumes of the STG and gyrus rectus were negatively correlated with the positive scales on the Positive and Negative Syndrome Scale (PANSS) and those of the STG and ACC were negatively correlated with the negative scales. The durations of illness in schizophrenia were negatively correlated with the GM volumes of the insula, STG, and ACC. Patients with schizophrenia exhibited significantly decreased WM volumes of the superior frontal gyrus, inferior temporal gyrus, and STG. The WM volumes of the STG were negatively correlated with the duration of illness. Our findings suggest that GM and WM volume abnormalities in the STG are associated with the psychopathology of schizophrenia.
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A neuroimaging study of emotion-cognition interaction in schizophrenia: the effect of ziprasidone treatment. Psychopharmacology (Berl) 2017; 234:1045-1058. [PMID: 28210783 DOI: 10.1007/s00213-017-4533-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 01/10/2017] [Indexed: 12/15/2022]
Abstract
Functional and structural brain changes associated with the cognitive processing of emotional visual stimuli were assessed in schizophrenic patients after 16 weeks of antipsychotic treatment with ziprasidone. Forty-five adults aged 18 to 40 were recruited: 15 schizophrenia patients (DSM-IV criteria) treated with ziprasidone (mean daily dose = 120 mg), 15 patients treated with other antipsychotics, and 15 healthy controls who did not receive any medication. Functional and structural neuroimaging data were acquired at baseline and 16 weeks after treatment initiation. In each session, participants selected stimuli, taken from standardized sets, based on their emotional valence. After ziprasidone treatment, several prefrontal regions, typically involved in cognitive control (anterior cingulate and ventrolateral prefrontal cortices), were significantly activated in patients in response to positive versus negative stimuli. This effect was greater whenever they had to select negative compared to positive stimuli, indicating an asymmetric effect of cognitive treatment of emotionally laden information. No such changes were observed for patients under other antipsychotics. In addition, there was an increase in the brain volume commonly recruited by healthy controls and patients under ziprasidone, in response to cognitive processing of emotional information. The structural analysis showed no significant changes in the density of gray and white matter in ziprasidone-treated patients compared to patients receiving other antipsychotic treatments. Our results suggest that functional changes in brain activity after ziprasidone medication precede structural and clinical manifestations, as markers that the treatment is efficient in restoring the functionality of prefrontal circuits involved in processing emotionally laden information in schizophrenia.
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White matter volume change and its correlation with symptom severity in patients with schizophrenia: a VBM-DARTEL study. Neuroreport 2016; 26:1095-100. [PMID: 26485094 DOI: 10.1097/wnr.0000000000000471] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The aim of this study was to evaluate the white matter (WM) volume change and its correlation with symptom severity in patients with schizophrenia using voxel-based morphometry. A total of 20 patients with schizophrenia and 20 age-matched healthy controls participated in this study. MR image data were processed using SPM8 software with diffeomorphic anatomical registration through an exponentiated Lie algebra (DARTEL) algorithm. The patients with schizophrenia showed significant decreases (P=0.042) in the WM volumes of the temporal lobe and superior frontal gyrus compared with the healthy controls. The WM volumes of the middle temporal gyrus were negatively correlated with the scores of both the Positive Subscale (Pearson's ρ=-0.68, P=0.001) and the Negative Subscale (ρ=-0.71, P=0.0005) in the Positive and Negative Syndrome Scale. In addition, the scores of the General Psychopathology Subscale were negatively correlated with the WM volumes of the superior frontal gyrus (ρ=-0.68, P=0.0009). This study evaluated the WM volume of patients with schizophrenia compared with healthy controls using DARTEI-based voxel-based morphometry and also assessed the correlation of the localized WM volume changes with the Positive and Negative Syndrome Scale. These findings will be useful to understand the neuropathology associated with WM abnormality in schizophrenia.
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Barch D, Pagliaccio D, Belden A, Harms MP, Gaffrey M, Sylvester C, Tillman R, Luby J. Effect of Hippocampal and Amygdala Connectivity on the Relationship Between Preschool Poverty and School-Age Depression. Am J Psychiatry 2016; 173:625-34. [PMID: 26771739 PMCID: PMC4932860 DOI: 10.1176/appi.ajp.2015.15081014] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE In this study, the authors tested the hypothesis that poverty experienced in early childhood, as measured by income-to-needs ratio, has an impact on functional brain connectivity at school age, which in turn mediates influences on child negative mood/depression. METHOD Participants were from a prospective longitudinal study of emotion development. Preschoolers 3-5 years of age were originally ascertained from primary care and day care sites in the St. Louis area and then underwent annual behavioral assessments for up to 12 years. Healthy preschoolers and those with a history of depression symptoms underwent neuroimaging at school age. Using functional MRI, the authors examined whole brain resting-state functional connectivity with the left and right hippocampus and amygdala. RESULTS Lower income-to-needs ratio at preschool age was associated with reduced connectivity between hippocampus and amygdala and a number of regions at school age, including the superior frontal cortex, lingual gyrus, posterior cingulate, and putamen. Lower income-to-needs ratio predicted greater negative mood/depression severity at school age, as did connectivity between the left hippocampus and the right superior frontal cortex and between the right amygdala and the right lingual gyrus. Connectivity mediated the relationship between income-to-needs ratio and negative mood/depression at the time of scanning. CONCLUSIONS These findings suggest that poverty in early childhood, as assessed by at least one measure, may influence the development of hippocampal and amygdala connectivity in a manner leading to negative mood symptoms during later childhood.
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Affiliation(s)
- Deanna Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110,Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110,Department of Psychology, Washington University in St. Louis, St. Louis, MO 63130,The Program in Neuroscience, Washington University in St. Louis, St. Louis, MO 63130,Deanna M. Barch, Ph.D., Washington University, Department of Psychology, Box 1125, One Brookings Drive, St. Louis, Mo. 63130, Phone: 314-935-8729, Fax: 314-935-8790,
| | - David Pagliaccio
- The Program in Neuroscience, Washington University in St. Louis, St. Louis, MO 63130
| | - Andy Belden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Michael P. Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Michael Gaffrey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Chad Sylvester
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Joan Luby
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110,Deanna M. Barch, Ph.D., Washington University, Department of Psychology, Box 1125, One Brookings Drive, St. Louis, Mo. 63130, Phone: 314-935-8729, Fax: 314-935-8790,
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Meng X, Jiang R, Lin D, Bustillo J, Jones T, Chen J, Yu Q, Du Y, Zhang Y, Jiang T, Sui J, Calhoun VD. Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. Neuroimage 2016; 145:218-229. [PMID: 27177764 DOI: 10.1016/j.neuroimage.2016.05.026] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Revised: 04/13/2016] [Accepted: 05/07/2016] [Indexed: 12/24/2022] Open
Abstract
Neuroimaging techniques have greatly enhanced the understanding of neurodiversity (human brain variation across individuals) in both health and disease. The ultimate goal of using brain imaging biomarkers is to perform individualized predictions. Here we proposed a generalized framework that can predict explicit values of the targeted measures by taking advantage of joint information from multiple modalities. This framework also enables whole brain voxel-wise searching by combining multivariate techniques such as ReliefF, clustering, correlation-based feature selection and multiple regression models, which is more flexible and can achieve better prediction performance than alternative atlas-based methods. For 50 healthy controls and 47 schizophrenia patients, three kinds of features derived from resting-state fMRI (fALFF), sMRI (gray matter) and DTI (fractional anisotropy) were extracted and fed into a regression model, achieving high prediction for both cognitive scores (MCCB composite r=0.7033, MCCB social cognition r=0.7084) and symptomatic scores (positive and negative syndrome scale [PANSS] positive r=0.7785, PANSS negative r=0.7804). Moreover, the brain areas likely responsible for cognitive deficits of schizophrenia, including middle temporal gyrus, dorsolateral prefrontal cortex, striatum, cuneus and cerebellum, were located with different weights, as well as regions predicting PANSS symptoms, including thalamus, striatum and inferior parietal lobule, pinpointing the potential neuromarkers. Finally, compared to a single modality, multimodal combination achieves higher prediction accuracy and enables individualized prediction on multiple clinical measures. There is more work to be done, but the current results highlight the potential utility of multimodal brain imaging biomarkers to eventually inform clinical decision-making.
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Affiliation(s)
- Xing Meng
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Rongtao Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Dongdong Lin
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Juan Bustillo
- Dept. of Psychiatry and Neuroscience, University of New Mexico, Albuquerque, NM 87131, USA
| | - Thomas Jones
- Dept. of Psychiatry and Neuroscience, University of New Mexico, Albuquerque, NM 87131, USA
| | - Jiayu Chen
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Qingbao Yu
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Yuhui Du
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Yu Zhang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CAS Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA; CAS Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
| | - Vince D Calhoun
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA; Dept. of Psychiatry and Neuroscience, University of New Mexico, Albuquerque, NM 87131, USA; Dept. of Electronic and Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA
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