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Tao Q, Dang J, Guo H, Zhang M, Niu X, Kang Y, Sun J, Ma L, Wei Y, Wang W, Wen B, Cheng J, Han S, Zhang Y. Abnormalities in static and dynamic intrinsic neural activity and neurotransmitters in first-episode OCD. J Affect Disord 2024; 363:609-618. [PMID: 39029696 DOI: 10.1016/j.jad.2024.07.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 06/29/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a disabling disorder in which the temporal variability of regional brain connectivity is not well understood. The aim of this study was to investigate alterations in static and dynamic intrinsic neural activity (INA) in first-episode OCD and whether these changes have the potential to reflect neurotransmitters. METHODS A total of 95 first-episode OCD patients and 106 matched healthy controls (HCs) were included in this study. Based on resting-state functional magnetic resonance imaging (rs-fMRI), the static and dynamic local connectivity coherence (calculated by static and dynamic regional homogeneity, sReHo and dReHo) were compared between the two groups. Furthermore, correlations between abnormal INA and PET- and SPECT-derived maps were performed to examine specific neurotransmitter system changes underlying INA abnormalities in OCD. RESULTS Compared with HCs, OCD showed decreased sReHo and dReHo values in left superior, middle temporal gyrus (STG/MTG), left Heschl gyrus (HES), left putamen, left insula, bilateral paracentral lobular (PCL), right postcentral gyrus (PoCG), right precentral gyrus (PreCG), left precuneus and right supplementary motor area (SMA). Decreased dReHo values were also found in left PoCG, left PreCG, left SMA and left middle cingulate cortex (MCC). Meanwhile, alterations in INA present in brain regions were correlated with dopamine system (D2, FDOPA), norepinephrine transporter (NAT) and the vesicular acetylcholine transporter (VAChT) maps. CONCLUSION Static and dynamic INA abnormalities exist in first-episode OCD, having the potential to reveal the molecular characteristics. The results help to further understand the pathophysiological mechanism and provide alternative therapeutic targets of OCD.
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Affiliation(s)
- Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Huirong Guo
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Yimeng Kang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Longyao Ma
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
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Liu R, Zhu G, Gao Y, Li D. An rs-fMRI based neuroimaging marker for adult absence epilepsy. Epilepsy Res 2024; 204:107400. [PMID: 38954950 DOI: 10.1016/j.eplepsyres.2024.107400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/21/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024]
Abstract
OBJECTIVE Approximately 20-30 % of epilepsy patients exhibit negative findings on routine magnetic resonance imaging, and this condition is known as nonlesional epilepsy. Absence epilepsy (AE) is a prevalent form of nonlesional epilepsy. This study aimed to investigate the clinical diagnostic utility of regional homogeneity (ReHo) assessed through the support vector machine (SVM) approach for identifying AE. METHODS This research involved 102 healthy individuals and 93 AE patients. Resting-state functional magnetic resonance imaging was employed for data acquisition in all participants. ReHo analysis, coupled with SVM methodology, was utilized for data processing. RESULTS Compared to healthy control individuals, AE patients demonstrated significantly elevated ReHo values in the bilateral putamen, accompanied by decreased ReHo in the bilateral thalamus. SVM was used to differentiate patients with AE from healthy control individuals based on rs-fMRI data. A composite assessment of altered ReHo in the left putamen and left thalamus yielded the highest accuracy at 81.64 %, with a sensitivity of 95.41 % and a specificity of 69.23 %. SIGNIFICANCE According to the results, altered ReHo values in the bilateral putamen and thalamus could serve as neuroimaging markers for AE, offering objective guidance for its diagnosis.
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Affiliation(s)
- Ruoshi Liu
- Department of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Guozhong Zhu
- Department of Medical Imaging, Heilongjiang Provincial Hospital, Harbin, China
| | - Yujun Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Dongbin Li
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, China; Department of Neurology and Neuroscience Center, Heilongjiang Provincial Hospital, Harbin, China.
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Li J, Cheng J, Yang L, Niu Q, Zhang Y, Palaniyappan L. Association of cortical gyrification, white matter microstructure, and phenotypic profile in medication-naïve obsessive-compulsive disorder. Psychol Med 2024; 54:1573-1579. [PMID: 37994452 DOI: 10.1017/s0033291723003422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is thought to arise from dysconnectivity among interlinked brain regions resulting in a wide spectrum of clinical manifestations. Cortical gyrification, a key morphological feature of human cerebral cortex, has been considered associated with developmental connectivity in early life. Monitoring cortical gyrification alterations may provide new insights into the developmental pathogenesis of OCD. METHODS Sixty-two medication-naive patients with OCD and 59 healthy controls (HCs) were included in this study. Local gyrification index (LGI) was extracted from T1-weighted MRI data to identify the gyrification changes in OCD. Total distortion (splay, bend, or twist of fibers) was calculated using diffusion-weighted MRI data to examine the changes in white matter microstructure in patients with OCD. RESULTS Compared with HCs, patients with OCD showed significantly increased LGI in bilateral medial frontal gyrus and the right precuneus, where the mean LGI was positively correlated with anxiety score. Patients with OCD also showed significantly decreased total distortion in the body, genu, and splenium of the corpus callosum (CC), where the average distortion was negatively correlated with anxiety scores. Intriguingly, the mean LGI of the affected cortical regions was significantly correlated with the mean distortion of the affected white matter tracts in patients with OCD. CONCLUSIONS We demonstrated associations among increased LGI, aberrant white matter geometry, and higher anxiety in patients with OCD. Our findings indicate that developmental dysconnectivity-driven alterations in cortical folding are one of the neural substrates underlying the clinical manifestations of OCD.
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Affiliation(s)
- Jianyu Li
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Jian Cheng
- School of Computer Science and Engineering, Beihang University, Beijing, China
| | - Lei Yang
- Department of Psychiatry, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Qihui Niu
- Department of Psychiatry, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Yuanchao Zhang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Lena Palaniyappan
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
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Yang Z, Xiao S, Su T, Gong J, Qi Z, Chen G, Chen P, Tang G, Fu S, Yan H, Huang L, Wang Y. A multimodal meta-analysis of regional functional and structural brain abnormalities in obsessive-compulsive disorder. Eur Arch Psychiatry Clin Neurosci 2024; 274:165-180. [PMID: 37000246 DOI: 10.1007/s00406-023-01594-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 03/14/2023] [Indexed: 04/01/2023]
Abstract
Numerous neuroimaging studies of resting-state functional imaging and voxel-based morphometry (VBM) have revealed abnormalities in specific brain regions in obsessive-compulsive disorder (OCD), but results have been inconsistent. We conducted a whole-brain voxel-wise meta-analysis on resting-state functional imaging and VBM studies that investigated differences of functional activity and gray matter volume (GMV) between patients with OCD and healthy controls (HCs) using seed-based d mapping (SDM) software. A total of 41 independent studies (51 datasets) for resting-state functional imaging and 42 studies (46 datasets) for VBM were included by a systematic literature search. Overall, patients with OCD displayed increased spontaneous functional activity in the bilateral inferior frontal gyrus (IFG) (extending to the bilateral insula) and bilateral medial prefrontal cortex/anterior cingulate cortex (mPFC/ACC), as well as decreased spontaneous functional activity in the bilateral paracentral lobule, bilateral cerebellum, left caudate nucleus, left inferior parietal gyri, and right precuneus cortex. For the VBM meta-analysis, patients with OCD displayed increased GMV in the bilateral thalamus (extending to the bilateral cerebellum), right striatum, and decreased GMV in the bilateral mPFC/ACC and left IFG (extending to the left insula). The conjunction analyses found that the bilateral mPFC/ACC, left IFG (extending to the left insula) showed decreased GMV with increased intrinsic function in OCD patients compared to HCs. This meta-analysis demonstrated that OCD exhibits abnormalities in both function and structure in the bilateral mPFC/ACC, insula, and IFG. A few regions exhibited only functional or only structural abnormalities in OCD, such as the default mode network, striatum, sensorimotor areas, and cerebellum. It may provide useful insights for understanding the underlying pathophysiology of OCD and developing more targeted and efficacious treatment and intervention strategies.
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Affiliation(s)
- Zibin Yang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Shu Xiao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Ting Su
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Jiayin Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
- Department of Radiology, Six Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Guixian Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - SiYing Fu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Hong Yan
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China.
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Zhong Z, Ou Y, Chen Y, Li P, Shi H, Lv D, Jia C, Shang T, Sun L, Yang R, Wang X, Guo W, Lv L. Reduced functional connectivity of the right dorsolateral prefrontal cortex at rest in obsessive-compulsive disorder. Brain Behav 2024; 14:e3333. [PMID: 38376021 PMCID: PMC10784187 DOI: 10.1002/brb3.3333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 11/04/2023] [Accepted: 11/06/2023] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Neuroimaging studies have revealed the role of the right dorsolateral prefrontal cortex (DLPFC) in the neurobiological mechanism of obsessive-compulsive disorder (OCD). However, only a few studies have examined the functional connectivity (FC) pattern of the right DLPFC at rest in OCD. OBJECTIVE The aim of this research is to examine the FC patterns of the right DLPFC at rest in OCD. METHODS Twenty-eight medication-free patients with OCD and 20 healthy controls underwent resting-state functional magnetic resonance imaging. Seed-based FC and support vector machine (SVM) were used to analyze the imaging data. RESULTS The patients with OCD showed reduced FC values in the right middle temporal gyrus (MTG), right superior temporal gyrus, right ventral anterior cingulate cortex (vACC), and left Crus II. No brain regions showed a remarkable difference in FC values in patients with OCD after 8 weeks of medication treatment. The reduced right DLPFC-right MTG and right DLPFC-right vACC connectivities were correlated with the clinical symptoms of OCD. SVM results showed that reduced right DLPFC-right MTG connectivity at rest could predict the therapeutic response to OCD medication. CONCLUSIONS The findings highlight the important role of the right DLPFC in the pathophysiological mechanism of OCD.
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Affiliation(s)
- Zhaoxi Zhong
- Henan Key Laboratory of Biological PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenanChina
| | - Yangpan Ou
- National Clinical Research Center for Mental Disordersand Department of PsychiatryThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Yunhui Chen
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Ping Li
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Han Shi
- Henan Key Laboratory of Biological PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenanChina
| | - Dan Lv
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Cuicui Jia
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Tinghuizi Shang
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Lei Sun
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Ru Yang
- Department of RadiologyThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Xiaoping Wang
- National Clinical Research Center for Mental Disordersand Department of PsychiatryThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Wenbin Guo
- National Clinical Research Center for Mental Disordersand Department of PsychiatryThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Luxian Lv
- Henan Key Laboratory of Biological PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenanChina
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Yan H, Zhang Y, Shan X, Li H, Liu F, Xie G, Li P, Guo W. Altered interhemispheric functional connectivity in patients with obsessive-compulsive disorder and its potential in therapeutic response prediction. J Neurosci Res 2024; 102. [PMID: 38284840 DOI: 10.1002/jnr.25272] [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] [Received: 07/01/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 01/30/2024]
Abstract
The trajectory of voxel-mirrored homotopic connectivity (VMHC) after medical treatment in obsessive-compulsive disorder (OCD) and its value in prediction of treatment response remains unclear. This study aimed to investigate the pathophysiological mechanism of OCD, as well as biomarkers for prediction of pharmacological efficacy. Medication-free patients with OCD and healthy controls (HCs) underwent magnetic resonance imaging. The patients were scanned again after a 4-week treatment with paroxetine. The acquired data were subjected to VMHC, support vector regression (SVR), and correlation analyses. Compared with HCs (36 subjects), patients with OCD (34 subjects after excluding two subjects with excessive head movement) exhibited significantly lower VMHC in the bilateral superior parietal lobule (SPL), postcentral gyrus, and calcarine cortex, and VMHC in the postcentral gyrus was positively correlated with cognitive function. After treatment, the patients showed increased VMHC in the bilateral posterior cingulate cortex/precuneus (PCC/PCu) with the improvement of symptoms. SVR results showed that VMHC in the postcentral gyrus at baseline could aid to predict a change in the scores of OCD scales. This study revealed that SPL, postcentral gyrus, and calcarine cortex participate in the pathophysiological mechanism of OCD while PCC/PCu participate in the pharmacological mechanism. VMHC in the postcentral gyrus is a potential predictive biomarker of the treatment effects in OCD.
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Affiliation(s)
- Haohao Yan
- 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, China
| | - Yingying Zhang
- 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, China
| | - Xiaoxiao Shan
- 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, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Wenbin Guo
- 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, China
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Xu Y, Han S, Wei Y, Zheng R, Cheng J, Zhang Y. Abnormal resting-state effective connectivity in large-scale networks among obsessive-compulsive disorder. Psychol Med 2024; 54:350-358. [PMID: 37310178 DOI: 10.1017/s0033291723001228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a chronic mental illness characterized by abnormal functional connectivity among distributed brain regions. Previous studies have primarily focused on undirected functional connectivity and rarely reported from network perspective. METHODS To better understand between or within-network connectivities of OCD, effective connectivity (EC) of a large-scale network is assessed by spectral dynamic causal modeling with eight key regions of interests from default mode (DMN), salience (SN), frontoparietal (FPN) and cerebellum networks, based on large sample size including 100 OCD patients and 120 healthy controls (HCs). Parametric empirical Bayes (PEB) framework was used to identify the difference between the two groups. We further analyzed the relationship between connections and Yale-Brown Obsessive Compulsive Scale (Y-BOCS). RESULTS OCD and HCs shared some similarities of inter- and intra-network patterns in the resting state. Relative to HCs, patients showed increased ECs from left anterior insula (LAI) to medial prefrontal cortex, right anterior insula (RAI) to left dorsolateral prefrontal cortex (L-DLPFC), right dorsolateral prefrontal cortex (R-DLPFC) to cerebellum anterior lobe (CA), CA to posterior cingulate cortex (PCC) and to anterior cingulate cortex (ACC). Moreover, weaker from LAI to L-DLPFC, RAI to ACC, and the self-connection of R-DLPFC. Connections from ACC to CA and from L-DLPFC to PCC were positively correlated with compulsion and obsession scores (r = 0.209, p = 0.037; r = 0.199, p = 0.047, uncorrected). CONCLUSIONS Our study revealed dysregulation among DMN, SN, FPN, and cerebellum in OCD, emphasizing the role of these four networks in achieving top-down control for goal-directed behavior. There existed a top-down disruption among these networks, constituting the pathophysiological and clinical basis.
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Affiliation(s)
- Yinhuan Xu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Xu Y, Zhang Y. Abnormal voxel-mirrored homotopic connectivity in first-episode, drug-naïve patients with obsessive-compulsive disorder. Eur J Neurosci 2023; 58:3531-3539. [PMID: 37592392 DOI: 10.1111/ejn.16117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 07/08/2023] [Accepted: 07/24/2023] [Indexed: 08/19/2023]
Abstract
Prior studies suggest that obsessive-compulsive disorder (OCD) can cause both anatomical and functional variations in the brain, but to date, altered functional synchronization between two functional hemispheres remains unclear in OCD patients. Voxel-mirrored homotopic connectivity (VMHC) is defined as the temporal correlation of spontaneous low-frequency blood oxygenation level-dependent signal fluctuations across mirror regions of hemisphere revealing the homotopic connectivity between each voxel in one hemisphere and its mirrored counterpart in the contralateral hemisphere. To investigate the alterations of brain regional function and VMHC in patients with OCD, the current study enrolled 103 OCD patients and 118 healthy controls, undergoing resting-state functional magnetic resonance imaging. Compared to healthy controls (HCs), patients had decreased VMHC in bilateral cerebellum, lingual and fusiform gyrus; bilateral paracentral lobule, pre and postcentral gyrus; and bilateral superior and middle temporal gyrus, putamen and bilateral precuneus without global signal regression. And we found mostly similar results after regressing global signals; apart from the regions mentioned above, decreased in bilateral cuneus and calcarine was also showed. Furthermore, the mean VMHC values of the left cerebellum were negatively correlated with the obsession scores (ρ = -.204, π = .039). The decreased values in right fusiform and putamen were negatively correlated with duration of disease (ρ = -.205, π = .038; ρ = -.196, π = .047). We confirmed a significant VMHC reduction in OCD patients in broad areas. Our findings suggest that the patients tend to disconnect information exchange across hemispheres.
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Affiliation(s)
- Yinhuan Xu
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Zhang
- Department of Magnetic Resonance Imaging, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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9
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Li K, Long J, Deng W, Cheng B, Wang J. Electroconvulsive therapy for obsessive-compulsive disorder: A retrospective study. Front Psychiatry 2022; 13:1040443. [PMID: 36440390 PMCID: PMC9682229 DOI: 10.3389/fpsyt.2022.1040443] [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: 09/09/2022] [Accepted: 10/21/2022] [Indexed: 11/11/2022] Open
Abstract
Background Chronic mental diseases such as obsessive-compulsive disorder (OCD) are associated with a high disability rate. Some patients still do not improve their symptoms even with adequate cognitive-behavioral therapy and drug treatment. In the treatment of OCD, electroconvulsive therapy (ECT) is not considered a neuromodulation modality with sufficient evidence. Objective This retrospective study aimed to determine the efficacy and associated risk factors of ECT in OCD patients. Materials and methods The study included 21 OCD patients who underwent ECT at a high-volume center in China between January 2009 and December 2020. The demographics and clinical characteristics of the patients were assessed using descriptive statistics. Based on Clinical Global Impressions-Improvement scale, patients were categorized into response and non-response groups. Clinical and demographic characteristics of two groups of patients were compared. Results An analysis of 21 patients was conducted. In total, 12 patients (57.1%) responded to ECT, 11 patients (52.4%) reported side effects, and an average of 7 ECT sessions were administered. In terms of demographic, there was no statistically significant difference between the two groups. It is noteworthy that the non-response group reported more depression and schizophrenia related disorders comorbidities than the response group (χ2 = 6.252, P = 0.041). Conclusion The effectiveness of ECT in treating OCD is limited, especially in patients with refractory symptoms. Comorbidity with other mental disorders may affect the efficacy of ECT.
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Affiliation(s)
- Kun Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Jiang Long
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Bochao Cheng
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
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10
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Bradley-Garcia M, Winocur G, Sekeres MJ. Episodic Memory and Recollection Network Disruptions Following Chemotherapy Treatment in Breast Cancer Survivors: A Review of Neuroimaging Findings. Cancers (Basel) 2022; 14:4752. [PMID: 36230678 PMCID: PMC9563268 DOI: 10.3390/cancers14194752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/14/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Long-term memory disturbances are amongst the most common and disruptive cognitive symptoms experienced by breast cancer survivors following chemotherapy. To date, most clinical assessments of long-term memory dysfunction in breast cancer survivors have utilized basic verbal and visual memory tasks that do not capture the complexities of everyday event memories. Complex event memories, including episodic memory and autobiographical memory, critically rely on hippocampal processing for encoding and retrieval. Systemic chemotherapy treatments used in breast cancer commonly cause neurotoxicity within the hippocampus, thereby creating a vulnerability to memory impairment. We review structural and functional neuroimaging studies that have identified disruptions in the recollection network and related episodic memory impairments in chemotherapy-treated breast cancer survivors, and argue for the need to better characterize hippocampally mediated memory dysfunction following chemotherapy treatments. Given the importance of autobiographical memory for a person's sense of identity, ability to plan for the future, and general functioning, under-appreciation of how this type of memory is impacted by cancer treatment can lead to overlooking or minimizing the negative experiences of breast cancer survivors, and neglecting a cognitive domain that may benefit from intervention strategies.
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Affiliation(s)
| | - Gordon Winocur
- Rotman Research Institute, Baycrest Centre, Toronto, ON M6A 2E1, Canada
- Department of Psychology, Department of Psychiatry, University of Toronto, Toronto, ON M5S 3G3, Canada
- Department of Psychology, Trent University, Peterborough, ON K9J 7B8, Canada
| | - Melanie J Sekeres
- School of Psychology, University of Ottawa, Ottawa, ON K1N 6N5, Canada
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11
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Yan H, Shan X, Li H, Liu F, Guo W. Abnormal spontaneous neural activity as a potential predictor of early treatment response in patients with obsessive-compulsive disorder. J Affect Disord 2022; 309:27-36. [PMID: 35472471 DOI: 10.1016/j.jad.2022.04.125] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/17/2022] [Accepted: 04/19/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND We aimed to explore the value of early improvement in obsessive-compulsive disorder (OCD) along with potential imaging changes after treatment with paroxetine in building diagnostic models and predicting treatment response. METHODS The clinical symptoms of patients with OCD were assessed at baseline and post-treatment (four weeks). Resting-state functional magnetic resonance imaging, fractional amplitudes of low-frequency fluctuations (fALFF) indicator, support vector machine (SVM), support vector regression (SVR), and correlation analysis were performed to acquire and analyze the data. RESULTS In comparison with healthy controls, OCD patients at baseline had abnormal fALFF in several brain regions. The abnormal fALFF in the left precuneus/ posterior cingulate cortex (PCC) (r = -0.526, p = 0.001) and right middle cingulate cortex (MCC) (r = -0.588, p < 0.001) were negatively correlated with the severity of compulsions. Patients with OCD showed significantly clinical improvement along with significantly decreased fALFF in the left precuneus after treatment. The SVM analysis showed that the classifier had an accuracy of 90.00% based on the fALFF in the right precentral gyrus and right MCC at baseline. The SVR analysis showed that the actual remission of OCD was positively correlated with the predicted remission based on the fALFF in the left precuneus/PCC and right MCC at baseline. LIMITATIONS This monocentric study with the relatively small sample size might restrict the generalizability of the results to other centers. CONCLUSIONS Abnormal spontaneous neural activities in patients with OCD could serve as potential neuroimaging biomarkers for diagnosis and prediction of early treatment response.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan 528000, Guangdong, China.
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12
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Li X, Li H, Jiang X, Li J, Cao L, Liu J, Xing H, Huang X, Gong Q. Characterizing multiscale modular structures in medication-free obsessive-compulsive disorder patients with no comorbidity. Hum Brain Mapp 2022; 43:2391-2399. [PMID: 35170143 PMCID: PMC8996347 DOI: 10.1002/hbm.25794] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/03/2022] [Accepted: 01/21/2022] [Indexed: 02/05/2023] Open
Abstract
Brain networks exhibit signatures of modular structure, which maintains a fine trade‐off between wiring cost and efficiency of information transmission. Alterations in modular structure have been found in patients with obsessive–compulsive disorder (OCD). However, previous studies were focused on a single scale (i.e., modularity or intra/intermodular connectivity) for investigation. Here, we recruited 92 OCD patients and 90 healthy controls. A comprehensive analysis was performed on modular architecture alterations in the voxelwise functional connectome at the “global” (modularity), “meso” (modular segregation and within‐ and between‐module connections), and “local” (participation coefficients, PC) scales. We also examined the correlation between modular structure metrics and clinical symptoms. The findings revealed that (1) there was no significant group difference in global modularity; (2) both primary modules (visual network, sensorimotor network) and high‐order modules (dorsal attention network, frontoparietal network) exhibited lower modular segregation in OCD patients, which was mainly driven by increased numbers of between‐module connections; and (3) OCD patients showed higher PC in several connectors including the bilateral middle occipital gyri, left medial orbital frontal gyrus, left superior frontal gyrus, left posterior cingulate gyrus, right superior temporal gyrus and right middle frontal gyrus, and lower PC in the right lingual gyrus. Moreover, these alterations in modular structure were associated with clinical symptoms in patients. Our findings provide further insights into the involvement of different modules in functional network dysfunction in OCD from a connectomic perspective and suggest a synergetic mechanism of module interactions that may be related to the pathophysiology of OCD.
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Affiliation(s)
- Xue Li
- College of Physics, Sichuan University, Chengdu, China.,Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xi Jiang
- College of Physics, Sichuan University, Chengdu, China
| | - Jing Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lingxiao Cao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Jing Liu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Haoyang Xing
- College of Physics, Sichuan University, Chengdu, China.,Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
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13
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Effect of chemotherapy on default mode network connectivity in older women with breast cancer. Brain Imaging Behav 2022; 16:43-53. [PMID: 34019223 PMCID: PMC8606014 DOI: 10.1007/s11682-021-00475-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 04/25/2021] [Indexed: 02/03/2023]
Abstract
Chemotherapy may impair cognition and contribute to accelerated aging. The purpose of this study was to assess the effects of chemotherapy on the connectivity of the default mode network (DMN) in older women with breast cancer. This prospective longitudinal study enrolled women aged ≥ 60 years with stage I-III breast cancer (CTx group) and matched healthy controls (HC group). Study assessments, consisting of resting-state functional MRI (rs-fMRI) and the Picture Sequence Memory (psm) test for episodic memory from the NIH Toolbox for Cognition, were obtained at baseline and within one month after the completion of chemotherapy for the CTx group and at matched intervals for the HC group. Two-sample t-test and FDR multiple comparison were used for statistical inference. Our analysis of the CTx group (N = 19; 60-82 years of age, mean = 66.6, SD = 5.24) compared to the HC group (N = 14; 60-78 years of age, mean = 68.1, SD = 5.69) revealed weaker DMN subnetwork connectivity in the anterior brain but stronger connectivity in the posterior brain at baseline. After chemotherapy, this pattern was reversed, with stronger anterior connectivity and weaker posterior connectivity. In addition, the meta-level functional network connectivity (FNC) among the DMN subnetworks after chemotherapy was consistently weaker than the baseline FNC as seen in the couplings between anterior cingulate cortex (ACC) and retrosplenial (rSplenia) region, with ΔFNC('ACC','rSplenia')=-0.14, t value=-2.44, 95 %CI=[-0.27,-0.10], pFDR<0.05). The baseline FNC matrices of DMN subnetworks were correlated with psm scores (corr = 0.58, p < 0.05). Our results support DMN alterations as a potential neuroimaging biomarker for cancer-related cognitive impairment and accelerated aging.
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14
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Abnormal degree centrality as a potential imaging biomarker for right temporal lobe epilepsy: A resting-state fMRI study and support vector machine analysis. Neuroscience 2022; 487:198-206. [PMID: 35158018 DOI: 10.1016/j.neuroscience.2022.02.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 01/28/2022] [Accepted: 02/07/2022] [Indexed: 12/26/2022]
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15
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Liu L, Fan J, Zhan H, Huang J, Cao R, Xiang X, Tian S, Ren H, Tong M, Li Q. Abnormal regional signal in the left cerebellum as a potential neuroimaging biomarker of sudden sensorineural hearing loss. Front Psychiatry 2022; 13:967391. [PMID: 35935421 PMCID: PMC9354585 DOI: 10.3389/fpsyt.2022.967391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 06/30/2022] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE While prior reports have characterized visible changes in neuroimaging findings in individuals suffering from sudden sensorineural hearing loss (SSNHL), the utility of regional homogeneity (ReHo) as a means of diagnosing SSNHL has yet to be established. The present study was thus conducted to assess ReHo abnormalities in SSNHL patients and to establish whether these abnormalities offer value as a diagnostic neuroimaging biomarker of SSNHL through a support vector machine (SVM) analysis approach. METHODS Resting-state functional magnetic resonance imaging (rs-fMRI) analyses of 27 SSNHL patients and 27 normal controls were conducted, with the resultant imaging data then being analyzed based on a combination of ReHo and SVM approaches. RESULTS Relative to normal control individuals, patients diagnosed with SSNHL exhibited significant reductions in ReHo values in the left cerebellum, bilateral inferior temporal gyrus (ITG), left superior temporal pole (STP), right parahippocampal gyrus (PHG), left posterior cingulum cortex (PCC), and right superior frontal gyrus (SFG). SVM analyses suggested that reduced ReHo values in the left cerebellum were associated with high levels of diagnostic accuracy (96.30%, 52/54), sensitivity (92.59%, 25/27), and specificity (100.00%, 27/27) when distinguishing between SSNHL patients and control individuals. CONCLUSION These data suggest that SSNHL patients exhibit abnormal resting-state neurological activity, with changes in the ReHo of the left cerebellum offering value as a diagnostic neuroimaging biomarker associated with this condition.
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Affiliation(s)
- Lei Liu
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jun Fan
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Hui Zhan
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Junli Huang
- Department of Medical Imaging, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Rui Cao
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xiaoran Xiang
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Shuai Tian
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Hongwei Ren
- Department of Medical Imaging, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Miao Tong
- Department of Stomatology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Qian Li
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
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16
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Wu J, Wu J, Guo R, Chu L, Li J, Zhang S, Ren H. The decreased connectivity in middle temporal gyrus can be used as a potential neuroimaging biomarker for left temporal lobe epilepsy. Front Psychiatry 2022; 13:972939. [PMID: 36032260 PMCID: PMC9399621 DOI: 10.3389/fpsyt.2022.972939] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 07/08/2022] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE We aimed to explore voxel-mirrored homotopic connectivity (VMHC) abnormalities between the two brain hemispheres in left temporal lobe epilepsy (lTLE) patients and to determine whether these alterations could be leveraged to guide lTLE diagnosis. MATERIALS AND METHODS Fifty-eight lTLE patients and sixty healthy controls (HCs) matched in age, sex, and education level were recruited to receive resting state functional magnetic resonance imaging (rs-fMRI) scan. Then VHMC analyses of bilateral brain regions were conducted based on the results of these rs-fMRI scans. The resultant imaging data were further analyzed using support vector machine (SVM) methods. RESULTS Compared to HCs, patients with lTLE exhibited decreased VMHC values in the bilateral middle temporal gyrus (MTG) and middle cingulum gyrus (MCG), while no brain regions in these patients exhibited increased VMHC values. SVM analyses revealed the diagnostic accuracy of reduced bilateral MTG VMHC values to be 75.42% (89/118) when differentiating between lTLE patients and HCs, with respective sensitivity and specificity values of 74.14% (43/58) and 76.67% (46/60). CONCLUSION Patients with lTLE exhibit abnormal VMHC values corresponding to the impairment of functional coordination between homotopic regions of the brain. These altered MTG VMHC values may also offer value as a robust neuroimaging biomarker that can guide lTLE patient diagnosis.
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Affiliation(s)
- Jinlong Wu
- Department of Imaging Center, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China.,Key Laboratory of Occupational Hazards and Identification, Wuhan University of Science and Technology, Wuhan, China
| | - Jun Wu
- Department of Neurosurgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruimin Guo
- Department of Imaging Center, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Linkang Chu
- Department of Imaging Center, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jun Li
- Department of Neurosurgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Zhang
- Liyuan Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongwei Ren
- Department of Imaging Center, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
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Abstract
Obsessive-compulsive disorder (OCD) has a worldwide prevalence of 2%-3%. Characterized by the presence of either one or two core symptoms-obsessions and compulsions-it generally runs a chronic course and may cause serious functional impairment. Though previously thought to be of psychogenic origin, the pathophysiology of OCD is now understood to be more complex. A multitude of environmental factors have been shown to contribute to the development of OCD, including infection, neonatal complications, childhood trauma, occurrence of stressful events, and brain injury. It has also been proposed that genetic vulnerability may play a role in OCD pathology, although candidate genes have yet to be identified. Likewise, although it is widely accepted that stress plays a role in OCD pathophysiology, the mechanisms remain unclear. Observations from the clinics indicate that stress may serve as both a triggering and aggravating factor, meaning it can prompt symptoms to appear while also contributing to their exacerbation. Additionally, dysfunction of the hypothalamic-pituitary-adrenal axis and impaired stress response have been identified in OCD patients. In this review, we analyze the role of stress in the pathophysiology of OCD, complemented by relevant findings from recent animal studies.
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Altered Functional Connectivity Strength at Rest in Medication-Free Obsessive-Compulsive Disorder. Neural Plast 2021; 2021:3741104. [PMID: 34539777 PMCID: PMC8443365 DOI: 10.1155/2021/3741104] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 07/25/2021] [Accepted: 08/17/2021] [Indexed: 11/25/2022] Open
Abstract
Background Previous studies explored the whole-brain functional connectome using the degree approach in patients with obsessive-compulsive disorder (OCD). However, whether the altered degree values can be used to discriminate OCD from healthy controls (HCs) remains unclear. Methods A total of 40 medication-free patients with OCD and 38 HCs underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Data were analyzed with the degree approach and a support vector machine (SVM) classifier. Results Patients with OCD showed increased degree values in the left thalamus and left cerebellum Crus I and decreased degree values in the left dorsolateral prefrontal cortex, right precuneus, and left postcentral gyrus. SVM classification analysis indicated that the increased degree value in the left thalamus is a marker of OCD, with an acceptable accuracy of 88.46%, sensitivity of 87.50%, and specificity of 89.47%. Conclusion Altered degree values within and outside the cortical-striatal-thalamic-cortical (CSTC) circuit may cocontribute to the pathophysiology of OCD. Increased degree values of the left thalamus can be used as a future marker for OCD understanding-classification.
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Liu J, Bu X, Hu X, Li H, Cao L, Gao Y, Liang K, Zhang L, Lu L, Hu X, Wang Y, Gong Q, Huang X. Temporal variability of regional intrinsic neural activity in drug-naïve patients with obsessive-compulsive disorder. Hum Brain Mapp 2021; 42:3792-3803. [PMID: 33949731 PMCID: PMC8288087 DOI: 10.1002/hbm.25465] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/08/2021] [Accepted: 04/26/2021] [Indexed: 02/05/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) displays alterations in regional brain activity represented by the amplitude of low-frequency fluctuation (ALFF), but the time-varying characteristics of this local neural activity remain to be clarified. We aimed to investigate the dynamic changes of intrinsic brain activity in a relatively large sample of drug-naïve OCD patients using univariate and multivariate analyses. We applied a sliding-window approach to calculate the dynamic ALFF (dALFF) and compared the difference between 73 OCD patients and age- and sex-matched healthy controls (HCs). We also utilized multivariate pattern analysis to determine whether dALFF could differentiate OCD patients from HCs at the individual level. Compared with HCs, OCD patients exhibited increased dALFF mainly within regions of the cortical-striatal-thalamic-cortical (CSTC) circuit, including the bilateral dorsal anterior cingulate cortex, medial prefrontal cortex and striatum, and right dorsolateral prefrontal cortex (dlPFC). Decreased dALFF was identified in the bilateral inferior parietal lobule (IPL), posterior cingulate cortex, insula, fusiform gyrus, and cerebellum. Moreover, we found negative correlations between illness duration and dALFF values in the right IPL and between dALFF values in the left cerebellum and Hamilton Depression Scale scores. Furthermore, dALFF can distinguish OCD patients from HCs with the most discriminative regions located in the IPL, dlPFC, middle occipital gyrus, and cuneus. Taken together, in the current study, we demonstrated a characteristic pattern of higher variability of regional brain activity within the CSTC circuits and lower variability in regions outside the CSTC circuits in drug-naïve OCD patients.
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Affiliation(s)
- Jing Liu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Lingxiao Cao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Kaili Liang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Xinyue Hu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Yanlin Wang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of RadiologyWest China Hospital, Sichuan UniversityChengduChina
- Psychoradiology Research Unit of the Chinese Academy of Medical SciencesWest China Hospital of Sichuan UniversityChengduSichuanChina
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20
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Zhang Y, Liao J, Li Q, Zhang X, Liu L, Yan J, Zhang D, Yan H, Yue W. Altered Resting-State Brain Activity in Schizophrenia and Obsessive-Compulsive Disorder Compared With Non-psychiatric Controls: Commonalities and Distinctions Across Disorders. Front Psychiatry 2021; 12:681701. [PMID: 34093290 PMCID: PMC8176119 DOI: 10.3389/fpsyt.2021.681701] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/09/2021] [Indexed: 11/15/2022] Open
Abstract
Backgrounds: Schizophrenia (SCZ) and obsessive-compulsive disorder (OCD) are classified as two chronic psychiatric disorders with high comorbidity rate and shared clinical symptoms. Abnormal spontaneous brain activity within the cortical-striatal neural circuits has been observed in both disorders. However, it is unclear if the common or distinct neural abnormalities underlie the neurobiological substrates in the resting state. Methods: Resting-state fMRI data were collected from 88 patients with SCZ, 58 patients with OCD, and 72 healthy control subjects. First, we examined differences in amplitude of low-frequency fluctuations (ALFF) among three groups. Resting-state functional connectivity (rsFC) analysis with the brain region that showed different ALFF as the seed was then conducted to identify the changes in brain networks. Finally, we examined the correlation between the altered activities and clinical symptoms. Results: Both the patients with SCZ and OCD showed increased ALFF in the right hippocampus and decreased ALFF in the left posterior cingulate cortex (PCC). SCZ patients exhibited increased ALFF in the left caudate [voxel-level family-wise error (FWE) P < 0.05] and decreased rsFC between the left caudate and right cerebellum, which correlated with positive symptoms. The left caudate showed increased rsFC with the right thalamus and bilateral supplementary motor complex (SMC) in OCD patients (cluster-level FWE P < 0.05). Conclusions: The hippocampus and PCC are common regions presenting abnormal local spontaneous neuronal activities in both SCZ and OCD, while the abnormality of the striatum can reflect the differences. Increased ALFF in the striatum and symptom-related weakened rsFC between the caudate and cerebellum showed SCZ specificity. Enhanced rsFC between the caudate and SMC may be a key characteristic in OCD. Our research shows the similarities and differences between the two diseases from the perspective of resting-state fMRI, which provides clues to understand the disease and find methods for treatment.
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Affiliation(s)
- Yuyanan Zhang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Jinmin Liao
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Qianqian Li
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Xiao Zhang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Lijun Liu
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Jun Yan
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Dai Zhang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Hao Yan
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Weihua Yue
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Chinese Academy of Medical Sciences, Beijing, China
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21
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The frontal pole as a target for transcranial magnetic stimulation: A retrospective analysis of feasibility and tolerability. Brain Stimul 2021; 14:655-657. [PMID: 33826932 DOI: 10.1016/j.brs.2021.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 03/25/2021] [Accepted: 04/01/2021] [Indexed: 11/22/2022] Open
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22
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Hwang H, Bae S, Hong JS, Han DH. Comparing Effectiveness Between a Mobile App Program and Traditional Cognitive Behavior Therapy in Obsessive-Compulsive Disorder: Evaluation Study. JMIR Ment Health 2021; 8:e23778. [PMID: 33464208 PMCID: PMC7854038 DOI: 10.2196/23778] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND This study proposes a digital program for the treatment of mental illness that could increase motivation and improve learning outcomes for patients. Several studies have already applied this method by using an exposure and response prevention-inspired serious game to treat patients with obsessive-compulsive disorder (OCD). OBJECTIVE We hypothesized that a mobile cognitive behavior therapy (CBT) program would be as effective in treating OCD as traditional offline CBT. In addition, the treatment efficacy in response to mobile CBT for OCD might be associated with increased brain activity within the cortico-striato-thalamo-cortical (CSTC) tract. METHODS The digital CBT treatment program for OCD, OCfree, consists of 6 education sessions, 10 quests, and 7 casual games. Information was gathered from 27 patients with OCD (15 offline CBT and 12 OCfree CBT). During the 6-week intervention period, changes in clinical symptoms and brain function activity were analyzed. RESULTS There was no significant difference in the change in OCD symptoms and depressive symptoms between the two groups. However, the OCfree group showed greater improvement in anxiety symptoms compared to the offline CBT group. Both offline CBT and OCfree CBT increased the functional connectivity within the CSTC tract in all patients with OCD. However, CBT using OCfree showed greater changes in brain connectivity within the thalamus and insula, compared to offline CBT. CONCLUSIONS OCfree, an OCD treatment app program, was effective in the treatment of drug-naïve patients with OCD. The treatment effects of OCfree are associated with increased brain connectivity within the CSTC tract. Multisensory stimulation by education, quests, and games in OCfree increases the activity within the thalamus and insula in patients with OCD.
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Affiliation(s)
- Hyunchan Hwang
- Department of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea
| | - Sujin Bae
- Office of Research, Chung-Ang University, Seoul, Republic of Korea
| | - Ji Sun Hong
- Department of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea
| | - Doug Hyun Han
- Department of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea
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23
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Murayama K, Tomiyama H, Tsuruta S, Ohono A, Kang M, Hasuzawa S, Mizobe T, Kato K, Togao O, Hiwatashi A, Nakao T. Aberrant Resting-State Cerebellar-Cerebral Functional Connectivity in Unmedicated Patients With Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:659616. [PMID: 33967861 PMCID: PMC8102723 DOI: 10.3389/fpsyt.2021.659616] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/29/2021] [Indexed: 01/05/2023] Open
Abstract
Background: Although abnormality of cerebellar-cerebral functional connectivity at rest in obsessive-compulsive disorder (OCD) has been hypothesized, only a few studies have investigated the neural mechanism. To verify the findings of previous studies, a large sample of patients with OCD was studied because OCD shows possible heterogeneity. Methods: Forty-seven medication-free patients with OCD and 62 healthy controls (HCs) underwent resting-state functional magnetic imaging scans. Seed-based connectivity was examined to investigate differences in cerebellar-cerebral functional connectivity in OCD patients compared with HCs. Correlations between functional connectivity and the severity of obsessive-compulsive symptoms were analyzed. Results: In OCD, we found significantly increased functional connectivity between the right lobule VI and the left precuneus, which is a component of the default mode network (DMN), compared to HCs. However, there was no correlation between the connectivity of the right lobule VI-left precuneus and obsessive-compulsive severity. Conclusions: These findings suggest that altered functional connectivity between the cerebellum and DMN might cause changes in intrinsic large-scale brain networks related to the traits of OCD.
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Affiliation(s)
- Keitaro Murayama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hirofumi Tomiyama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Sae Tsuruta
- Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.,Karatsu Red Cross Hospital, Karatsu, Japan
| | - Aikana Ohono
- Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan
| | - Mingi Kang
- Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan
| | - Suguru Hasuzawa
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Taro Mizobe
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kenta Kato
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Osamu Togao
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akio Hiwatashi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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24
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Nishat E, Dockstader C, Wheeler AL, Tan T, Anderson JAE, Mendlowitz S, Mabbott DJ, Arnold PD, Ameis SH. Visuomotor Activation of Inhibition-Processing in Pediatric Obsessive Compulsive Disorder: A Magnetoencephalography Study. Front Psychiatry 2021; 12:632736. [PMID: 33995145 PMCID: PMC8116532 DOI: 10.3389/fpsyt.2021.632736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 04/06/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Response inhibition engages the cortico-striato-thalamo-cortical (CSTC) circuit, which has been implicated in children, and youth with obsessive compulsive disorder (OCD). This study explored whether CSTC engagement during response inhibition, measured using magnetoencephalography (MEG), differed in a sample of medication-naïve youth with OCD, compared to typically developing controls (TDC). Methods: Data was analyzed in 17 medication-naïve children and youth with OCD (11.7 ± 2.2 SD years) and 13 TDC (12.6 ± 2.2 SD years). MEG was used to localize and characterize neural activity during a Go/No-Go task. Task performance on Go/No-Go conditions and regional differences in amplitude of activity during Go and No-Go condition between OCD vs. TDC were examined using two-sample t-tests. Post-hoc analysis with Bayesian t-tests was used to estimate the certainty of outcomes. Results: No differences in Go/No-Go performance were found between OCD and TDC groups. In response to the visual cue presented during the Go condition, participants with OCD showed significantly increased amplitude of activity in the primary motor (MI) cortex compared to TDC. In addition, significantly reduced amplitude of PCu was found following successful stopping to No-Go cues in OCD vs. TDC during No-Go task performance. Bayesian t-tests indicated high probability and large effect sizes for the differences in MI and PCu amplitude found between groups. Conclusion: Our preliminary study in a small medication-naïve sample extends previous work indicating intact response inhibition in pediatric OCD. While altered neural response in the current study was found during response inhibition performance in OCD, differences localized to regions outside of the CSTC. Our findings suggest that additional imaging research in medication-naïve samples is needed to clarify regional differences associated with OCD vs. influenced by medication effects, and suggest that MEG may be sensitive to detecting such differences.
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Affiliation(s)
- Eman Nishat
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Colleen Dockstader
- Department of Human Biology, Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada
| | - Anne L Wheeler
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Thomas Tan
- Kimel Family Translational Imaging Genetics Research Laboratory, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - John A E Anderson
- Kimel Family Translational Imaging Genetics Research Laboratory, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sandra Mendlowitz
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Donald J Mabbott
- Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Paul D Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Stephanie H Ameis
- Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Cundill Centre for Child and Youth Depression, Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, ON, Canada
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25
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Shen Z, Yu L, Zhao Z, Jin K, Pan F, Hu S, Li S, Xu Y, Xu D, Huang M. Gray Matter Volume and Functional Connectivity in Hypochondriasis: A Magnetic Resonance Imaging and Support Vector Machine Analysis. Front Hum Neurosci 2020; 14:596157. [PMID: 33343319 PMCID: PMC7738430 DOI: 10.3389/fnhum.2020.596157] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 10/23/2020] [Indexed: 12/19/2022] Open
Abstract
Objective: Patients with hypochondriasis hold unexplainable beliefs and a fear of having a lethal disease, with poor compliances and treatment response to psychotropic drugs. Although several studies have demonstrated that patients with hypochondriasis demonstrate abnormalities in brain structure and function, gray matter volume (GMV) and functional connectivity (FC) in hypochondriasis still remain unclear. Methods: The present study collected T1-weighted and resting-state functional magnetic resonance images from 21 hypochondriasis patients and 22 well-matched healthy controls (HCs). We first analyzed the difference in the GMV between the two groups. We then used the regions showing a difference in GMV between two groups as seeds to perform functional connectivity (FC) analysis. Finally, a support vector machine (SVM) was applied to the imaging data to distinguish hypochondriasis patients from HCs. Results: Compared with the HCs, the hypochondriasis group showed decreased GMV in the left precuneus, and increased GMV in the left medial frontal gyrus. FC analyses revealed decreased FC between the left medial frontal gyrus and cuneus, and between the left precuneus and cuneus. A combination of both GMV and FC in the left precuneus, medial frontal gyrus, and cuneus was able to discriminate the hypochondriasis patients from HCs with a sensitivity of 0.98, specificity of 0.93, and accuracy of 0.95. Conclusion: Our study suggests that smaller left precuneus volumes and decreased FC between the left precuneus and cuneus seem to play an important role of hypochondriasis. Future studies are needed to confirm whether this finding is generalizable to patients with hypochondriasis.
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Affiliation(s)
- Zhe Shen
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The Key Laboratory of Mental Disorder’s Management of Zhejiang Province, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Liang Yu
- Department of Anesthesiology and Pain, The Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhiyong Zhao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Kangyu Jin
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The Key Laboratory of Mental Disorder’s Management of Zhejiang Province, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Fen Pan
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The Key Laboratory of Mental Disorder’s Management of Zhejiang Province, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The Key Laboratory of Mental Disorder’s Management of Zhejiang Province, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Shangda Li
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The Key Laboratory of Mental Disorder’s Management of Zhejiang Province, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Yi Xu
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The Key Laboratory of Mental Disorder’s Management of Zhejiang Province, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Dongrong Xu
- Columbia University and New York State Psychiatric Institute, Riverside Drive, New York, NY, United States
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The Key Laboratory of Mental Disorder’s Management of Zhejiang Province, Hangzhou, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
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26
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Increased cerebellar-default-mode network connectivity at rest in obsessive-compulsive disorder. Eur Arch Psychiatry Clin Neurosci 2020; 270:1015-1024. [PMID: 31570980 DOI: 10.1007/s00406-019-01070-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/18/2019] [Indexed: 12/20/2022]
Abstract
Abnormalities of the cerebellum and default-mode network (DMN) in patients with obsessive-compulsive disorder (OCD) have been widely reported. However, alterations of reciprocal functional connections between the cerebellum and DMN at rest in OCD remain unclear. Forty patients with OCD and 38 gender-, age-, and education-matched healthy controls (HCs) underwent resting-state functional magnetic resonance imaging scan. Seed-based functional connectivity (FC) and support vector machine (SVM) were applied to analyze the imaging data. Compared with HCs, patients with OCD exhibited increased FCs between the left Crus I-left superior medial prefrontal cortex (MPFC) and between the right Crus I-left superior MPFC, left middle MPFC, and left middle temporal gyrus (MTG). A significantly negative correlation was observed between the right Crus I-left MTG connectivity and the Yale-Brown Obsessive-Compulsive Scale compulsion subscale scores in the OCD group (r = - 0.476, p = 0.002, Bonferroni corrected). SVM classification analysis indicated that a combination of the left Crus I-left superior MPFC connectivity and the right Crus I-left middle MPFC connectivity can be used to discriminate patients with OCD from HCs with a sensitivity of 85.00%, specificity of 68.42%, and accuracy of 76.92%. Our study highlights the contribution of the cerebellar-DMN connectivity in OCD pathophysiology and provides new findings to OCD research.
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27
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You J, Hu L, Zhang Y, Chen F, Yin X, Jin M, Chen YC. Altered Dynamic Neural Activity in the Default Mode Network in Lung Cancer Patients After Chemotherapy. Med Sci Monit 2020; 26:e921700. [PMID: 32069270 PMCID: PMC7047914 DOI: 10.12659/msm.921700] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background Few studies have examined functional brain changes specifically associated with chemotherapy (CTx) in patients with lung cancer. This prospective longitudinal research aimed to explore the change in intrinsic brain activity by investigating patients with lung cancer after CTx. Material/Methods Sixteen patients and 20 healthy individuals were enrolled in this study. The amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), dynamic amplitude of low-frequency fluctuation (dALFF), and dynamic regional homogeneity (dReHo) were computed. The group differences in resting state functional magnetic resonance imaging (rs-fMRI) parameters were compared. Alterations in the rs-fMRI parameters from before CTx to after CTx were assessed using the paired t-test. We performed correlation analyses between rs-fMRI parameters and Montreal Cognitive Assessment (MoCA) scores. Results We found statistically significant differences in MoCA scores before CTx and after CTx. Compared to the healthy group, rs-fMRI values decreased in the frontal regions as well as parietal regions compared to values before CTx. In addition, we found significantly decreased rs-fMRI values in the default-mode network (DMN) region of the brain before CTx compared to after CTx. We found no significant correlations between altered intrinsic activity values and MoCA scores. Conclusions The current study indicated that patients with lung cancer after CTx had decreased dynamic brain activity in the DMN region, and the DMN is vulnerable when patients undergoing CTx.
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Affiliation(s)
- Jia You
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)
| | - Lanyue Hu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)
| | - Yujie Zhang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)
| | - Feifei Chen
- Department of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)
| | - Mingxu Jin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China (mainland)
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