Abnormal functional connectivity based on nodes of the default mode network in first-episode drug-naive early-onset schizophrenia

Peng, Yue; Zhang, Sen; Zhou, Youqi; Song, Yichen; Yang, Ge; Hao, Keke; Yang, Yongfeng; Li, Wenqiang; Lv, Luxian; Zhang, Yan

doi:10.1016/j.psychres.2020.113578

Cited by 11 publications

(9 citation statements)

References 59 publications

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“…We found that DDMN plays the most important role in distinguishing normal people from MA abstainers, which is consistent with the results of many mental diseases. It shows abnormal functional connections in the MA abstainers, agreeing with the previous research results ( Peng et al, 2021 ). This indicates that DDMN may be involved in the pathogenesis of mental diseases, and the results are related to the selected statistical methods, data analysis methods, sample size, selection of psychotropic drugs during treatment and other factors ( Luo et al, 2019 ).…”

Section: Discussionsupporting

confidence: 93%

“…Then we proofread the scanning time point of each layer image, and the head motion correction was used to exclude subjects with excessive head movement. Next, we used the Echo-Planer Imaging (EPI) template of the Montreal Neurologic Institute (MNI) space to standardize the image registration to 3 mm × 3 mm × 3 mm (Brandman et al, 2021;Fan et al, 2021;Peng et al, 2021), and 1 https://www.fil.ion.ucl.ac.uk/spm/software/spm12 finally the Gaussian kernel with a half-height full-width value of 6 mm was used for spatial smoothing to reduce spatial noise (Maniar et al, 2021;van Buuren et al, 2021).…”

Section: Data Preprocessingmentioning

confidence: 99%

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Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Dong

Huang

et al. 2021

Front. Psychol.

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Methamphetamine (MA) can cause brain structural and functional impairment, but there are few studies on whether this difference will sustain on MA abstainers. The purpose of this study is to investigate the correlation of brain networks in MA abstainers. In this study, 47 people detoxified for at least 14 months and 44 normal people took a resting-state functional magnetic resonance imaging (RS-fMRI) scan. A dynamic (i.e., time-varying) functional connectivity (FC) is obtained by applying sliding windows in the time courses on the independent components (ICs). The windowed correlation data for each IC were then clustered by k-means. The number of subjects in each cluster was used as a new feature for individual identification. The results show that the classifier achieved satisfactory performance (82.3% accuracy, 77.7% specificity, and 85.7% sensitivity). We find that there are significant differences in the brain networks of MA abstainers and normal people in the time domain, but the spatial differences are not obvious. Most of the altered functional connections (time-varying) are identified to be located at dorsal default mode network. These results have shown that changes in the correlation of the time domain may play an important role in identifying MA abstainers. Therefore, our findings provide valuable insights in the identification of MA and elucidate the pathological mechanism of MA from a resting-state functional integration point of view.

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Section: Discussionsupporting

confidence: 93%

Section: Data Preprocessingmentioning

confidence: 99%

Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Dong

Huang

et al. 2021

Front. Psychol.

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“…The DMN is responsible for monitoring the external environment at rest (Raichle & Snyder, 2007) and for generating internal mental states (Hahn et al., 2007). Numerous studies have found abnormal FC within the DMN of both schizophrenia patients (Guo et al., 2015; Peng et al., 2021; Zhang et al., 2020) and their first‐degree relatives (Ma et al., 2019). Moreover, antipsychotics can normalize aberrant DMN FC in schizophrenia (Guo et al., 2017), suggesting that DMN dysfunction is an early core pathogenic mechanism.…”

Section: Discussionmentioning

confidence: 99%

Abnormal functional connectivity of the striatum in first‐episode drug‐naive early‐onset Schizophrenia

et al. 2022

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Abnormal brain network connectivity is strongly implicated in the pathogenesis of schizophrenia. The striatum, consisting of the caudate and putamen, is the major treatment target for antipsychotics, the primary treatments for schizophrenia; however, there are few studies on the functional connectivity (FC) of striatum in drug‐naive early‐onset schizophrenia (EOS) patients. We examined the FC values of the caudate nucleus and putamen with whole brain by resting‐state functional magnetic resonance imaging (RS‐fMRI) and the associations with indices of clinical severity. Patients demonstrated abnormal FC between subregions of the putamen and both the visual network (left middle occipital gyrus) and default mode network (bilateral anterior cingulate, left superior frontal, and right middle frontal gyri). Furthermore, FC between dorsorostral putamen and left superior frontal gyrus correlated with both positive symptom subscore and total score on the Positive and Negative Syndrome Scale (PANSS). These findings demonstrate abnormal FC between the striatum and other brain areas even in the early stages of schizophrenia, supporting neurodevelopmental disruption in disease etiology and expression.

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“…Most brain regions which showed significant ReHo abnormalities in the three different SZ stages belong to the DMN ( Whitfield-Gabrieli et al, 2009 ), including the MFG, MTG, precuneus, and IPL. DMN is associated with the construction of internal self-reference and has been widely explored abnormal in SZ ( Frascarelli et al, 2015 , Peng et al, 2021 ). Moreover, abnormal DMN homogeneity in AOS patients was confirmed in our previous studies ( Peng et al, 2021 , Zhang et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…AOS had the abnormal neural activity in right inferior parietal lobule (IPL) and bilateral precuneus ( Liu et al, 2018 ). Moreover, our previous studies showed the abnormal DMN homogeneity in AOS patients ( Peng et al, 2021 , Zhang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 86%

Abnormal patterns of regional homogeneity and functional connectivity across the adolescent first-episode, adult first-episode and adult chronic schizophrenia

Yang

Sun

Zhang

et al. 2022

NeuroImage: Clinical

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Abnormal functional connectivity based on nodes of the default mode network in first-episode drug-naive early-onset schizophrenia

Cited by 11 publications

References 59 publications

Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Abnormal functional connectivity of the striatum in first‐episode drug‐naive early‐onset Schizophrenia

Abnormal patterns of regional homogeneity and functional connectivity across the adolescent first-episode, adult first-episode and adult chronic schizophrenia

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