Altered resting-state functional connectivity of the insula in individuals with clinical high-risk and patients with first-episode schizophrenia

Li, Xianbin; Wang, Lu-Bin; Xiong, Yongqian; Bo, Qijing; He, Fan; Li, Feng; Hou, Wen-Peng; Wen, Yujie; Wang, Xueqi; Yang, Ningbo; Mao, Zhen; Dong, Qianhong; Zhang, Feifei; Yang, Rui; Wang, Di; Xiang, Yu Tao; Zhu, Yuyang; Tang, Yi-Lang; Zheng, Yang; Wang, Chuanyue

doi:10.1016/j.psychres.2019.112608

Cited by 29 publications

(26 citation statements)

References 41 publications

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“…The whole insula was divided into three different functional subregions based on previous cluster analysis of the resting-state FC ( Kurth et al, 2010 ; Deen et al, 2011 ; Uddin et al, 2014 ). According to the previous study ( Li et al, 2019 ), the six subregions of the bilateral insula were defined as spherical seed ROIs with a radius of 6 mm and the following MNI coordinates: left vAI (−33, 13, −7), right vAI (32, 10, −6), left dAI (−38, 6, 2), right dAI (35, 7, 3), left PI (−38, −6, 5), and right PI (35, −11, 6).…”

Section: Methodsmentioning

confidence: 99%

Aberrant Resting-State Functional Brain Connectivity of Insular Subregions in Obstructive Sleep Apnea

Kong

Shu

et al. 2022

Front. Neurosci.

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The insular cortex is a cortical regulatory area involved in dyspnea, cognition, emotion, and sensorimotor function. Previous studies reported that obstructive sleep apnea (OSA) shows insular tissue damage and abnormal functional connections for the whole insula. The insula can be divided into different subregions with distinct functional profiles, including the ventral anterior insula (vAI) participating in affective processing, dorsal anterior insula (dAI) involved in cognitive processing, and posterior insula (PI) involved in the processing of sensorimotor information. However, the functional connectivity (FC) of these insular subregions in OSA has yet to be established. Hence, the purpose of this study was to explore the resting-state FC of the insular subregions with other brain areas and its relationship with clinical symptoms of OSA. Resting-state functional magnetic resonance imaging data from 83 male OSA patients and 84 healthy controls were analyzed by whole-brain voxel-based FC using spherical seeds from six insular subregions, namely, the bilateral vAI, dAI, and PI, to identify abnormalities in the insular subregions network and related brain regions. Ultimately, the Pearson correlation analysis was carried out between the dysfunction results and the neuropsychological tests. Compared with the healthy control group, the OSA patients exhibited disturbed FC from the dAI to areas relevant to cognition, such as the bilateral cerebellum posterior lobe, superior frontal gyrus, right middle frontal gyrus and middle temporal gyrus; decreased FC from the vAI to areas linked with emotion, such as the bilateral fusiform gyrus, superior parietal lobule, precuneus and cerebellum posterior lobe; and abnormal FC from the PI to the brain regions involved in sensorimotor such as the bilateral precentral gyrus, right superior/middle temporal gyrus and left superior frontal gyrus. The linear regression result showed that the apnea-hypopnea index was positively correlated with the increased FC between the right PI and the right precuneus (after Bonferroni correlation, P < 0.001) In conclusion, the abnormal FC between insular subregions and other brain regions were related to cognitive, emotional and sensorimotor networks in OSA patients. These results may provide a new imaging perspective for further understanding of OSA-related cognitive and affective disorders.

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Section: Methodsmentioning

confidence: 99%

Aberrant Resting-State Functional Brain Connectivity of Insular Subregions in Obstructive Sleep Apnea

Kong

Shu

et al. 2022

Front. Neurosci.

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“…Indeed, Xian-Bin et al (2019) recently assessed resting-state FC in 24 individuals with clinical high risk for psychosis (CHR), 19 patients with first-episode psychosis (FEP), and 47 HC. Results of this investigation revealed hypoconnectivities in CHR and FEP patients compared to HC between posterior insula and somatosensory areas (Effect sizes HC vs. FEP: 0.96–1.26; Effect sizes HC vs. CHR: 0.82–1.06) and between dorsal anterior insula and putamen (Effect sizes HC vs. FEP: 1.07–1.25; Effect sizes HC vs. CHR: 0.87–0.95) [ 11 ].…”

Section: Introductionmentioning

confidence: 96%

Abnormal synaptic pruning during adolescence underlying the development of psychotic disorders

Germann

Brederoo²,

Sommer

2021

Current Opinion in Psychiatry

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Purpose of review Excessive synaptic pruning has first been suggested by Irwin Feinberg (1982) as an important pillar in the pathophysiology in schizophrenia (SCZ). This article reviews recent developments highlighting factors implicated in aberrant synaptic pruning and its contribution to disease onset and emergence of cognitive symptoms in SCZ. Unraveling these factors provides new insights for potential prevention and treatment strategies for psychotic disorders. Recent findings Increased pruning in SCZ was recently confirmed by a positron emission tomography-study employing the novel tracer [11C]UCB-J, demonstrating the consequential loss of synaptic density. Recent evidence supports the contributing role of astrocytes and increased complement-mediated microglial pruning in disease onset and cognitive symptoms in SCZ. Increased microglial pruning is mediated specifically by C4. Furthermore, environmental factors (e.g., infections and stress) can lead to dysbiosis which was recently linked to microglial activation and pruning in SCZ. Summary Recent findings render the pruning machinery a potential target for early treatment and prevention in individuals at high risk for SCZ. Minocycline can improve cognition in SCZ, probably by reducing excessive pruning. Probiotics might also have beneficial effects on cognition, although recent findings are not encouraging. N-acetyl-cysteine recovers functional connectivity in SCZ both in vitro and in vivo, making it an interesting candidate.

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“…The involvement of the auditory cortex in the pathophysiology of schizophrenia has been demonstrated in both structural and functional MRI studies [ 33 , 34 , 35 , 36 , 37 ]. A progressive reduction of gray matter volume of the superior temporal gyrus (including planum polare and planum temporale) has been detected in a longitudinal study of patients with ultra-high risk for psychosis and first episode [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression

et al. 2022

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We used the Mass Multivariate Method on structural, resting-state, and task-related fMRI data from two groups of patients with schizophrenia and depression in order to define several regions of significant relevance to the differential diagnosis of those conditions. The regions included the left planum polare (PP), the left opercular part of the inferior frontal gyrus (OpIFG), the medial orbital gyrus (MOrG), the posterior insula (PIns), and the parahippocampal gyrus (PHG). This study delivered evidence that a multimodal neuroimaging approach can potentially enhance the validity of psychiatric diagnoses. Structural, resting-state, or task-related functional MRI modalities cannot provide independent biomarkers. Further studies need to consider and implement a model of incremental validity combining clinical measures with different neuroimaging modalities to discriminate depressive disorders from schizophrenia. Biological signatures of disease on the level of neuroimaging are more likely to underpin broader nosological entities in psychiatry.

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Altered resting-state functional connectivity of the insula in individuals with clinical high-risk and patients with first-episode schizophrenia

Cited by 29 publications

References 41 publications

Aberrant Resting-State Functional Brain Connectivity of Insular Subregions in Obstructive Sleep Apnea

Aberrant Resting-State Functional Brain Connectivity of Insular Subregions in Obstructive Sleep Apnea

Abnormal synaptic pruning during adolescence underlying the development of psychotic disorders

Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression

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