Article
Neurosciences
Kazuya Kawabata, Epifanio Bagarinaob, Hirohisa Watanabe, Satoshi Maesawab, Daisuke Mori, Kazuhiro Hara, Reiko Ohdake, Michihito Masuda, Aya Ogura, Toshiyasu Kato, Shuji Koyama, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue
Summary: Accumulating evidence suggests that the cerebellum is involved in various motor and cognitive tasks. This study used functional connectivity overlap ratio to identify connector hubs in the cerebellum, and found that several regions in the posterior cerebellum exhibited strong connectivity with multiple functional networks, especially the core neurocognitive networks.
Article
Psychiatry
Xusan Xu, Shucun Luo, Xiaoxia Wang, Xia Wen, Jingwen Yin, Xudong Luo, Bin He, Chunmei Liang, Susu Xiong, Dongjian Zhu, Dong Lv, Zhun Dai, Juda Lin, You Li, Zhixiong Lin, Wubiao Chen, Zebin Luo, Yajun Wang, Guoda Ma
Summary: This study found differences in cortical/subcortical-cerebellar functional connectivity between Han Chinese patients with schizophrenia and healthy controls, which were associated with clinical performance. These differences may be related to a single-nucleotide polymorphism that is associated with the risk of developing schizophrenia in Han Chinese. Additionally, the study identified a correlation between the SAP97 gene and hostile emotions in patients with schizophrenia. These findings contribute to our understanding of the mechanisms underlying psychiatric symptoms by showing the association between SAP97 and clinical manifestations of schizophrenia through cortical/subcortical-cerebellar functional connectivity.
Article
Psychiatry
Yuan Jun Xie, Yi Bin Xi, Long-Biao Cui, Mu Zhen Guan, Chen Li, Zhong Heng Wang, Peng Fang, Hong Yin
Summary: Cognitive impairments are a hallmark of schizophrenia and are prominent in early episodes. This study found that patients with drug-naive and first-episode schizophrenia showed deficits in cognitive tests and abnormal functional connectivity of the cerebellar dentate nucleus with cortical and subcortical regions, which correlated with cognitive impairments and symptom severity. The results suggest that these abnormal connections may be an underlying neural mechanism in schizophrenia.
PSYCHIATRY RESEARCH
(2021)
Article
Neurosciences
Vaibhav Tripathi, David C. Somers
Summary: The cerebellum is gaining attention as a key area for cognitive function, and individual differences in its organization are not well-studied. This study used "Connectome Fingerprinting" to predict individual brain activity based on their connectome. The results showed that the cortico-cerebellar connections involving non-motor portions of the cerebral cortex carried the most information about individual differences in cerebellar function. This approach may be useful for studying patients with cerebellar dysfunction.
Article
Neurosciences
Jing Guo, Zhouyu Jiang, Xinyuan Liu, Haoru Li, Bharat B. Biswal, Bo Zhou, Wei Sheng, Qing Gao, Hui Chen, Yunshuang Fan, Wenyan Zhu, Jian Wang, Huafu Chen, Chen Liu
Summary: This study identified alterations in cerebello-cerebral functional connectivity in patients with SCA3 and found associations with cerebellar atrophy, disease severity, and cognitive impairment.
HUMAN BRAIN MAPPING
(2023)
Article
Computer Science, Artificial Intelligence
Izaro Fernandez-Iriondo, Antonio Jimenez-Marin, Ibai Diez, Paolo Bonifazi, Stephan P. Swinnen, Miguel A. Munoz, Jesus M. Cortes
Summary: This study analyzed the relationship between structural and dynamic functional connectivity in the brain, focusing on cerebellar networks. It found that the cerebellum exhibited low variability in dynamic functional connectivity, with distinct posterior and anterior parts showing different connectivity patterns. The study suggests that different mechanisms may be at play in maintaining the low variability in the cerebellum, with critical functionality driving this phenomenon.
Article
Neurosciences
Sitong Feng, Sisi Zheng, Haoming Zou, Linrui Dong, Hong Zhu, Shanshan Liu, Dan Wang, Yanzhe Ning, Hongxiao Jia
Summary: Abnormalities in the cerebellum have been linked to schizophrenia, with lower between-network functional connectivity observed in patients with first-episode SCH compared to healthy controls. The between-network FC of cerebellar networks is associated with positive and negative symptoms in patients with first-episode SCH, and a classification model based on these abnormalities shows satisfactory accuracy in identifying SCH patients.
FRONTIERS IN CELLULAR NEUROSCIENCE
(2022)
Article
Neurosciences
Olivia K. Harrison, Xavier Guell, Miriam C. Klein-Flugge, Robert L. Barry
Summary: Mapping the connectivity of the central nervous system has been a key focus in neuroimaging research, with a recent shift towards exploring subcortical structures beyond traditional cortical investigations. Advances in neuroimaging technology now allow for better signal and resolution for studying these structures, although challenges and limitations still exist. Recommendations and considerations have been put forward for mapping brain connectivity beyond the cortex.
Article
Neuroimaging
Weiliang Yang, Xuexin Xu, Chunxiang Wang, Yongying Cheng, Yan Li, Shuli Xu, Jie Li
Summary: In this study, we computed dynamic functional network connectivity using the sliding window method in patients with schizophrenia and healthy controls. Our results showed that patients with schizophrenia had higher occurrences in the weakly connected state, positively correlated with negative symptoms. They also had fewer occurrences in the strongly connected state compared to healthy controls. Additionally, the dynamic functional network connectivity between certain brain networks was decreased in schizophrenia patients.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Engineering, Biomedical
Xiaoyi Chen, Jing Zhou, Pengfei Ke, Jiayuan Huang, Dongsheng Xiong, Yuanyuan Huang, Guolin Ma, Yuping Ning, Fengchun Wu, Kai Wu
Summary: Recent studies have shown that brain connectivity abnormalities are associated with schizophrenia. However, most previous studies using machine learning methods focused on MRI features of brain regions, ignoring brain connectivity and its network topology. In this study, we used a graph convolutional network (GCN) to classify schizophrenia patients based on both brain region and connectivity features derived from combined functional MRI and connectomics analysis. The results showed that the proposed method significantly improved classification performance compared to traditional machine learning and deep learning methods based on MRI features alone.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Psychiatry
Soo Yun Choi, Minji Ha, Sunah Choi, Sun-Young Moon, Sunghyun Park, Minah Kim, Jun Soo Kwon
Summary: This study examined whether resting-state cerebellar-cerebral functional connectivity is altered in first-episode psychosis (FEP) patients and whether this connectivity is related to negative symptoms. The results showed abnormal connectivity between the cerebellum and certain cerebral regions in FEP patients, which was associated with negative symptoms.
SCHIZOPHRENIA RESEARCH
(2023)
Article
Psychiatry
Keitaro Murayama, Hirofumi Tomiyama, Sae Tsuruta, Aikana Ohono, Mingi Kang, Suguru Hasuzawa, Taro Mizobe, Kenta Kato, Osamu Togao, Akio Hiwatashi, Tomohiro Nakao
Summary: In patients with OCD, increased functional connectivity between the right lobule VI and the left precuneus was found compared to healthy controls, but this connectivity was not correlated with the severity of OCD symptoms. This suggests that altered functional connectivity between the cerebellum and DMN may contribute to changes in large-scale brain networks associated with OCD traits.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Psychiatry
Sheeba Arnold Anteraper, Xavier Guell, Guusje Collin, Zhenghan Qi, Jingwen Ren, Atira Nair, Larry J. Seidman, Matcheri S. Keshavan, Tianhong Zhang, Yingying Tang, Huijun Li, Robert W. McCarley, Margaret A. Niznikiewicz, Martha E. Shenton, William S. Stone, Jijun Wang, Susan Whitfield-Gabrieli
Summary: The study suggests that abnormalities in RsFc of the DN may precede the onset of psychosis, and these abnormalities are not found in individuals at risk but not yet developed psychosis.
SCHIZOPHRENIA BULLETIN
(2021)
Article
Biochemistry & Molecular Biology
Ester Anton-Galindo, Elisa Dalla Vecchia, Javier G. Orlandi, Gustavo Castro, Emilio J. Gualda, Andrew M. J. Young, Marc Guasch-Piqueras, Concepcio Arenas, Carlos Herrera-Ubeda, Jordi Garcia-Fernandez, Fernando Aguado, Pablo Loza-Alvarez, Bru Cormand, William H. J. Norton, Noelia Fernandez-Castillo
Summary: Genetic variants in YWHAZ contribute to neurodevelopmental disorders such as autism spectrum disorder and schizophrenia. Using zebrafish as a model, researchers found that YWHAZ is expressed widely in neurons during development and limited to Purkinje cells in the adult cerebellum. Knocking out YWHAZ resulted in altered neuronal activity and connectivity in the hindbrain, decreased monoamine levels, and freeze behavior in adult fish, which could be reversed with drugs targeting monoamine neurotransmission.
MOLECULAR PSYCHIATRY
(2022)
Article
Neurosciences
Jianing Hao, Xintao Hu, Liting Wang, Lei Guo, Junwei Han
Summary: The study suggests that the human cerebellum is involved in a wide range of cognitive tasks beyond traditional motor control and can be divided into distinct functional subregions. By utilizing a naturalistic paradigm of fMRI, the research successfully identified different subregions of the cerebellum, providing an alternative template for exploring neural activities in naturalistic environments.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Geriatrics & Gerontology
Meiqi Yan, Jindong Chen, Feng Liu, Huabing Li, Jingping Zhao, Wenbin Guo
Summary: This study found that patients with major depressive disorder (MDD) who have gastrointestinal (GI) symptoms experience more severe depressive symptoms compared to those without GI symptoms. Distinct patterns in the default mode network (DMN) were also observed in MDD patients with GI symptoms, which can potentially serve as a brain imaging marker for differentiating patients with GI symptoms from those without GI symptoms.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Genetics & Heredity
Dan Zhu, Chunyang Wang, Lining Guo, Daojun Si, Mengge Liu, Mengjing Cai, Lin Ma, Dianxun Fu, Jilian Fu, Junping Wang, Feng Liu
Summary: This study investigated the causal associations between total brain volumetric measures (TBVMs) and the risk of schizophrenia using Mendelian randomization. The results showed that alterations in TBVMs do not have a direct causal effect on the risk of schizophrenia.
FRONTIERS IN GENETICS
(2022)
Article
Clinical Neurology
Haohao Yan, Xiaoxiao Shan, Huabing Li, Feng Liu, Wenbin Guo
Summary: This study aimed to explore the value of early improvement in OCD patients after treatment with paroxetine and analyze potential imaging changes. The study found abnormal brain activities in OCD patients at baseline, and significantly decreased fALFF in the left precuneus after treatment. By analyzing fALFF, diagnostic models can be built and treatment response can be predicted.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Biochemistry & Molecular Biology
Feng Liu, Jiayuan Xu, Lining Guo, Wen Qin, Meng Liang, Gunter Schumann, Chunshui Yu
Summary: Individual differences in human brain structure, function, and behavior can be explained by genetic variations, environmental exposures, and their interactions. While genetic variants associated with brain imaging phenotypes have been identified, the environmental exposures related to these phenotypes are largely unknown. This study proposes that research in environmental neuroscience should focus on understanding the associations between lifetime environmental exposures and brain imaging phenotypes, as well as identifying cumulative environmental effects and their vulnerable age windows.
MOLECULAR PSYCHIATRY
(2023)
Article
Neurosciences
Haohao Yan, Xiaoxiao Shan, Huabing Li, Feng Liu, Wenbin Guo
Summary: This study investigated early brain functional changes induced by pharmacotherapy in patients with OCD and their relation to drug treatment and improvement of symptoms. The study found that patients with OCD had higher regional homogeneity values in specific brain regions at baseline, which significantly decreased after treatment. The reduction rate of regional homogeneity values was positively correlated with the reduction rates of OCD symptoms and total scores.
FRONTIERS IN CELLULAR NEUROSCIENCE
(2022)
Article
Neurosciences
Meiqi Yan, Xiaoya Fu, Yangpan Ou, Feng Liu, Huabing Li, Wenbin Guo
Summary: This study aimed to explore distinctive brain image alterations in major depressive disorder (MDD) with gastrointestinal (GI) symptoms, and to differentiate MDD patients with and without GI symptoms from healthy controls. The results showed abnormal global functional connectivity (GFC) in multiple networks, including the default mode network and cortico-limbic mood-regulating circuit, in MDD with GI symptoms. GFC could be used as a potential biomarker to discriminate MDD patients with GI symptoms from those without GI symptoms and healthy controls.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Mengjing Cai, Jiawei Liu, Xuexiang Wang, Juanwei Ma, Lin Ma, Mengge Liu, Yao Zhao, He Wang, Dianxun Fu, Wenqin Wang, Qiang Xu, Lining Guo, Feng Liu
Summary: Neuroimaging studies have shown that spontaneous brain activity in specific regions is altered in migraine patients. To better understand the neuropathology of migraine, a meta-analysis of resting-state functional imaging studies was conducted. The analysis revealed consistent brain activity changes in migraineurs, including decreased activity in the angular gyrus, visual cortex, and cerebellum, as well as increased activity in the caudate, thalamus, pons, and prefrontal cortex. Higher pain scores in migraine patients were associated with increased activity in the left thalamus. These findings provide valuable insights into the pathophysiology of migraine.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Kaizhong Xue, Lining Guo, Wenshuang Zhu, Sixiang Liang, Qiang Xu, Lin Ma, Mengge Liu, Yong Zhang, Feng Liu
Summary: Recent studies have shown alterations in functional and structural network gradients in major depressive disorder (MDD), but the changes in cortical morphometric similarity (MS) network gradient and its relationship with gene expression remain unknown. This study found that the MS network gradient was significantly decreased in sensorimotor regions and increased in visual-related regions in MDD patients compared to healthy controls. Furthermore, the altered gradient was associated with symptom severity and correlated with gene expression patterns related to neurobiologically relevant pathways.
NEUROPSYCHOPHARMACOLOGY
(2023)
Article
Neurosciences
Wenshuang Zhu, Feng Liu, Jilian Fu, Wen Qin, Kaizhong Xue, Jie Tang, Yong Zhang, Chunshui Yu
Summary: This study identified 903 clinically sensitive genes and 633 clinically insensitive genes associated with ALFF alterations in MDD. The sensitive genes were enriched for cell differentiation and development, while the insensitive genes were enriched for ion transport and synaptic signaling.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Clinical Neurology
Yiding Han, Haohao Yan, Xiaoxiao Shan, Huabing Li, Feng Liu, Guojun Xie, Ping Li, Wenbin Guo
Summary: This study aimed to detect alterations in interhemispheric interactions in patients with panic disorder (PD) and determine their potential as biomarkers for diagnosis and therapeutic prediction. The study found reduced interhemispheric connectivity in specific brain areas in patients with PD, and this connectivity was enhanced after treatment. The findings indicate that impaired interhemispheric coordination is a characteristic of PD and that interhemispheric connectivity can serve as biomarkers and predictors of treatment efficacy.
EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
(2023)
Article
Biochemistry & Molecular Biology
Haohao Yan, Yiding Han, Xiaoxiao Shan, Huabing Li, Feng Liu, Ping Li, Jingping Zhao, Wenbin Guo
Summary: This study found abnormal spontaneous neural activity in the fear networks of patients with panic disorder (PD). Pharmacotherapy can partially normalize these abnormalities and the abnormal neural activity can predict treatment response.
Article
Neurosciences
Xiaoxiao Shan, Haohao Yan, Huabing Li, Feng Liu, Ping Li, Jingping Zhao, Wenbin Guo
Summary: Abnormal activity in certain subregions of the prefrontal-limbic circuit is linked to anxiety disorders. Specific alterations were found in the right cHipp subregion of the hippocampus and specified subregions of the cingulate and orbitofrontal lobe. This study also suggests potential imaging indicators for individual responses to antipsychotic treatment.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Neurosciences
Haohao Yan, Yiding Han, Xiaoxiao Shan, Huabing Li, Feng Liu, Guojun Xie, Ping Li, Wenbin Guo
Summary: This study investigated the functional connectivity between the cerebellum and intrinsic cerebral networks in patients with panic disorder (PD) and observed changes in this connection following pharmacotherapy. The results showed that patients with PD had altered cerebellar-cerebral connectivity in several networks compared to healthy controls. Treatment with paroxetine partially restored the connectivity to levels similar to healthy individuals. These findings suggest that the cerebellar-cerebral connectivity plays a crucial role in the neuropsychological mechanisms underlying PD and in the potential pharmacological mechanisms of paroxetine for treating PD.
Article
Neuroimaging
Juanwei Ma, Feng Liu, Yang Wang, Lin Ma, Yali Niu, Jing Wang, Zhaoxiang Ye, Jing Zhang
Summary: This study investigates the functional abnormalities in white matter (WM) associated with cognitive impairment in vascular cognitive impairment (VCI) patients. Using resting-state functional MRI, the researchers identify changes in functional connectivity and amplitude of WM networks in VCI patients. They find significant decreases in connectivity and amplitude in multiple brain regions in VCI patients, which are positively correlated with cognitive performances.
NEUROIMAGE-CLINICAL
(2022)
