Article
Clinical Neurology
Jiang Zhang, Hongjie Cui, Huadong Yang, Yuanyuan Li, Dundi Xu, Tianyu Zhao, Huawang Wu, Zhengcong Du, Wei Huang, Chong Wang, Ai Chen, Jiaojian Wang
Summary: This study utilized sliding window method and litekmeans algorithm to investigate the dynamic functional network connectivity in MDD, revealing increased mean dwell time and correlation with depression symptom load in state #5, as well as significantly reduced FNC within FPN in state #7 for MDD patients compared to healthy controls. This new approach of determining optimal window length and number of clusters may facilitate future studies on functional dynamics and provide new evidence to better understand the neuropathology of MDD.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2021)
Article
Clinical Neurology
Hua Yu, Ming-Li Li, Yajing Meng, Xiao-Jing Li, Wei Wei, Yin-Fei Li, Lei Li, Wanjun Guo, Qiang Wang, Wei Deng, Xiaohong Ma, Jeremy Coid, Tao Li
Summary: The study found increased functional connectivity between the right inferior frontal gyrus and other brain regions in bipolar patients, as well as decreased connectivity with sensorimotor areas. Impaired sustained attention was observed in bipolar manic and depressive subgroups compared to healthy controls, with manic and psychotic symptoms significantly impacting sustained attention task performance.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Medicine, General & Internal
Shu-Hsien Chu, Keshab K. Parhi, Melinda Westlund Schreiner, Christophe Lenglet, Bryon A. Mueller, Bonnie Klimes-Dougan, Kathryn R. Cullen
Summary: The study investigated brain changes in functional connectivity and functional network topology after 8-week SSRI treatments in unmedicated adolescents with MDD. Changes were observed in frontal-limbic, temporal, and default mode networks, with topological analysis showing decreased clustering coefficient and smallworldness after treatment. Regional changes were observed in specific brain regions, and frequency dependence was observed in limbic-cortical connectivity changes.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Neurosciences
Shudong Zhang, Jingjing Zhou, Jian Cui, Zhifang Zhang, Rui Liu, Yuan Feng, Lei Feng, Yun Wang, Xiongying Chen, Hang Wu, Yuening Jin, Yuan Zhou, Gang Wang
Summary: This study explored the effects of antidepressants on brain networks and individual differences in response. Patients with major depressive disorder (MDD) were scanned before and after a 12-week treatment with escitalopram. Results showed that the decreased subcortical network-ventral attention network connectivity increased after treatment, but within-network connectivity abnormalities persisted. The strength of subcortical network-ventral attention network connectivity at baseline predicted the reduction rate of depression scores.
HUMAN BRAIN MAPPING
(2023)
Article
Behavioral Sciences
P. M. Briley, L. Webster, C. Boutry, W. J. Cottam, D. P. Auer, P. F. Liddle, R. Morriss
Summary: This systematic review explores the differences in resting-state brain connectivity associated with comorbid anxiety in individuals with MDD. The findings suggest that dysconnectivity between the amygdala and other brain networks, as well as abnormalities in default mode network connectivity, may play a role in the co-occurrence of anxiety and MDD.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Clinical Neurology
Danielle A. Goldman, Anjali Sankar, Alexandra Rich, Jihoon A. Kim, Brian Pittman, R. Todd Constable, Dustin Scheinost, Hilary P. Blumberg
Summary: This study aimed to identify functional connectivity differences between depressions of bipolar disorder (BD-Dep) and depressions of major depressive disorder (MDD-Dep). The results showed that there were significant differences in functional connectivity patterns between these two groups, suggesting the potential for early diagnosis and treatment strategies.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Clinical Neurology
Zhenye Luo, Guanmao Chen, Yanbin Jia, Shuming Zhong, Jiaying Gong, Feng Chen, Jurong Wang, Zhangzhang Qi, Xia Liu, Li Huang, Ying Wang
Summary: This study revealed disrupted dynamic balance between segregation and integration within the default mode network in both Bipolar Disorder (BD) and Major Depressive Disorder (MDD) patients, with MDD patients showing specific abnormal brain dynamics in the putamen.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Neurosciences
Zhao Chang, Xinrui Wang, Ying Wu, Pan Lin, Rong Wang
Summary: In this study, the researchers used the nested-spectral partition method to investigate brain functional networks in patients with bipolar disorder (BD) and healthy controls. The results showed that BD patients had a higher degree of segregation in their brain networks, especially in the limbic system. They also found a network balance of segregation and integration that correlated with lower anxiety in BD patients. Additionally, the features related to brain network balance were found to better predict BD symptoms compared to traditional graph theory analyses.
HUMAN BRAIN MAPPING
(2023)
Article
Neuroimaging
Xueling Zhu, Fulai Yuan, Gaofeng Zhou, Jilin Nie, Dongcui Wang, Ping Hu, Lirong Ouyang, Lingyu Kong, Weihua Liao
Summary: This study suggests that cross-network interaction can serve as an effective biomarker for the clinical diagnosis of MDD, potentially revealing the underlying pathological mechanism for major depression. It also confirms the reliable application of MVPA in discriminating MDD patients from healthy controls.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Neurosciences
Shuting Sun, Peng Yang, Huayu Chen, Xuexiao Shao, Shanling Ji, Xiaowei Li, Gongying Li, Bin Hu
Summary: This study found that ECT treatment can alter the topology organization of functional brain networks in patients with depression, and these changes are associated with clinical remission.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Chiara Spironelli, Francesca Fusina, Marco Bortolomasi, Alessandro Angrilli
Summary: This study aimed to differentiate characteristics and differences among patients with bipolar disorder, major depressive disorder, and persistent depressive disorder using frontal EEG asymmetry as an index. The results found that persistent depressive disorder patients exhibited greater clinical and neurophysiological impairments compared to major depressive disorder patients. Additionally, differences in frontal beta activity asymmetry were observed among the three groups, with persistent depressive disorder and major depressive disorder groups showing lower bilateral frontal beta activity compared to the bipolar disorder group. Results were interpreted considering both clinical and neurophysiological domains.
Article
Psychology, Clinical
Mayron Piccolo, Emily L. Belleau, Laura M. Holsen, Madhukar H. Trivedi, Ramin V. Parsey, Patrick J. McGrath, Myrna M. Weissman, Diego A. Pizzagalli, Kristin N. Javaras
Summary: This study found that hyperphagic MDD may be associated with altered activity and connectivity between interoceptive and reward regions.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Clinical Neurology
Aron T. Hill, Reza Zomorrodi, Itay Hadas, Faranak Farzan, Daphne Voineskos, Alanah Throop, Paul B. Fitzgerald, Daniel M. Blumberger, Zafiris J. Daskalakis
Summary: Magnetic seizure therapy (MST) is emerging as a safe and effective experimental intervention for treatment resistant major depressive disorder (MDD) with minimal cognitive side-effects. Resting-state brain dynamics show widespread changes following MST in MDD patients, with theta connectivity potentially serving as a physiological marker of treatment response. Future prospective studies are needed to confirm these initial findings.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2021)
Article
Clinical Neurology
Ai-Hong Yu, Qing-Lin Gao, Zhao-Yu Deng, Yi Dang, Chao-Gan Yan, Zhen-Zhu Chen, Feng Li, Shu-Ying Zhao, Yue Liu, Qi-Jing Bo
Summary: This study investigated the functional dysconnectivity between major depressive disorder (MDD) and bipolar disorder (BD) and found that both disorders involve abnormal brain networks related to the processing of external stimuli. Additionally, MDD patients also showed abnormalities in the default mode network and limbic network. These results may serve as trait markers to distinguish between the two disorders.
Article
Psychiatry
Yanzhuo Song, Jingyu Yang, Miao Chang, Yange Wei, Zhiyang Yin, Yue Zhu, Yuning Zhou, Yifang Zhou, Xiaowei Jiang, Feng Wu, Lingtao Kong, Ke Xu, Fei Wang, Yanqing Tang
Summary: Schizophrenia, bipolar disorder, and major depressive disorder have common neuroimaging characteristics. This study found different alterations in hippocampal subregions among these disorders, providing evidence for the different functions of these subregions in psychiatric pathology.
FRONTIERS IN PSYCHIATRY
(2022)