Alterations in functional network centrality in first-episode drug-naïve adolescent-onset schizophrenia

Zhou, Ming; Zhuo, Lihua; Ji, Ruofei; Gao, Yingxue; Yao, Hongchao; Feng, Ruohan; Zhang, Lianqing; Huang, Guoping; Huang, Xiaoqi

doi:10.1007/s11682-021-00505-9

Cited by 10 publications

(5 citation statements)

References 46 publications

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“…Prior to conducting this meta-analysis, we assessed all included studies, ensuring that participant selection, data acquisition, preprocessing, and statistical analysis procedures were carried out with rigor in each eligible study. The search strategy identified 459 studies, and 21 of them met our inclusion criteria 10 – 16 , 52 – 65 , comprising a total of 1057 patients with schizophrenia (mean age: 26.1) and 1186 healthy controls (mean age: 27.5). Four of the included studies divided patients with schizophrenia into two subgroups according to clinical characteristics 52 , 53 , 55 , 61 , and thus the two sets of data were obtained from each study.…”

Section: Resultsmentioning

confidence: 99%

“…However, none of these approaches is able to fully delineate the functional connectivity of the brain 9 . To gain a comprehensive understanding of the impaired resting-state functional connectivity in schizophrenia, an increasing number of neuroimaging studies have adopted the whole-brain voxel-based functional network centrality (FNC) method 10 – 12 , enabling researchers to explore whole-brain intrinsic connectivity patterns. Over the past few years, the literature has documented resting-state FNC differences in schizophrenia; however, the findings are inconsistent or even contradictory 11 , 13 – 16 .…”

Section: Introductionmentioning

confidence: 99%

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Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Guo,

Ma,

Cai

et al. 2023

Schizophr

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Neuroimaging studies have revealed that patients with schizophrenia exhibit disrupted resting-state functional connectivity. However, the inconsistent findings across these studies have hindered our comprehensive understanding of the functional connectivity changes associated with schizophrenia, and the molecular mechanisms associated with these alterations remain largely unclear. A quantitative meta-analysis was first conducted on 21 datasets, involving 1057 patients and 1186 healthy controls, to examine disrupted resting-state functional connectivity in schizophrenia, as measured by whole-brain voxel-wise functional network centrality (FNC). Subsequently, partial least squares regression analysis was employed to investigate the relationship between FNC changes and gene expression profiles obtained from the Allen Human Brain Atlas database. Finally, gene enrichment analysis was performed to unveil the biological significance of the altered FNC-related genes. Compared with healthy controls, patients with schizophrenia show consistently increased FNC in the right inferior parietal cortex extending to the supramarginal gyrus, angular gyrus, bilateral medial prefrontal cortex, and right dorsolateral prefrontal cortex, while decreased FNC in the bilateral insula, bilateral postcentral gyrus, and right inferior temporal gyrus. Meta-regression analysis revealed that increased FNC in the right inferior parietal cortex was positively correlated with clinical score. In addition, these observed functional connectivity changes were found to be spatially associated with the brain-wide expression of specific genes, which were enriched in diverse biological pathways and cell types. These findings highlight the aberrant functional connectivity observed in schizophrenia and its potential molecular underpinnings, providing valuable insights into the neuropathology of dysconnectivity associated with this disorder.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Guo,

Ma,

Cai

et al. 2023

Schizophr

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show abstract

“…Consistent with these results evidence from PET (lower glucose metabolic rate in the FFG) and EEG (event related potential components of the left FFG cluster at P100) suggest overall NS to be associated with FFG activity 88 , 93 . However, other reports focusing on hallucinations advocate the relevance of the FFG for pathophysiological concepts on hallucinations 94 . Thus, our results fit to the suggested substantial role of the FFG in the development of NS 91 and further specify the relevance for the NS subdomain blunted affect.…”

Section: Discussionmentioning

confidence: 99%

Resting-state perfusion in motor and fronto-limbic areas is linked to diminished expression of emotion and speech in schizophrenia

Gangl

Conring

Federspiel³

et al. 2023

Schizophr

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Negative symptoms (NS) are a core component of schizophrenia affecting community functioning and quality of life. We tested neural correlates of NS considering NS factors and consensus subdomains. We assessed NS using the Clinical Assessment Interview for Negative Symptoms and the Scale for Assessment of Negative Symptoms. Arterial spin labeling was applied to measure resting-state cerebral blood flow (rCBF) in 47 schizophrenia patients and 44 healthy controls. Multiple regression analyses calculated the relationship between rCBF and NS severity. We found an association between diminished expression (DE) and brain perfusion within the cerebellar anterior lobe and vermis, and the pre-, and supplementary motor area. Blunted affect was linked to fusiform gyrus and alogia to fronto-striatal rCBF. In contrast, motivation and pleasure was not associated with rCBF. These results highlight the key role of motor areas for DE. Considering NS factors and consensus subdomains may help identifying specific pathophysiological pathways of NS.

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“…Here, voxel-wise DC values were used to explore neuroimaging abnormalities in adolescents affected by depression. This approach offers great promise given that DC has been successfully used to examine whole-brain changes associated with conditions such as MDD ( 12 – 14 ), schizophrenia ( 15 , 16 ), autism spectrum disorder (ASD) ( 17 ), and bipolar disorder (BPD) ( 12 , 18 , 19 ), providing a highly sensitive, specific, and reproducible biomarker that is physiologically meaningful. While DC holds great promise as a means of comprehensively analyzing brain networks in MDD patients, studies defining adolescent depression-specific changes in DC are lacking.…”

Section: Introductionmentioning

confidence: 99%

Abnormal degree centrality in first-episode medication-free adolescent depression at rest: A functional magnetic resonance imaging study and support vector machine analysis

et al. 2022

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BackgroundDepression in adolescents is more heterogeneous and less often diagnosed than depression in adults. At present, reliable approaches to differentiating between adolescents who are and are not affected by depression are lacking. This study was designed to assess voxel-level whole-brain functional connectivity changes associated with adolescent depression in an effort to define an imaging-based biomarker associated with this condition.Materials and methodsIn total, 71 adolescents affected by major depressive disorder (MDD) and 71 age-, sex-, and education level-matched healthy controls were subjected to resting-state functional magnetic resonance imaging (rs-fMRI) based analyses of brain voxel-wise degree centrality (DC), with a support vector machine (SVM) being used for pattern classification analyses.ResultsDC patterns derived from 16-min rs-fMRI analyses were able to effectively differentiate between adolescent MDD patients and healthy controls with 95.1% accuracy (136/143), and with respective sensitivity and specificity values of 92.1% (70/76) and 98.5% (66/67) based upon DC abnormalities detected in the right cerebellum. Specifically, increased DC was evident in the bilateral insula and left lingual area of MDD patients, together with reductions in the DC values in the right cerebellum and bilateral superior parietal lobe. DC values were not significantly correlated with disease severity or duration in these patients following correction for multiple comparisons.ConclusionThese results suggest that whole-brain network centrality abnormalities may be present in many brain regions in adolescent depression patients. Accordingly, these DC maps may hold value as candidate neuroimaging biomarkers capable of differentiating between adolescents who are and are not affected by MDD, although further validation of these results will be critical.

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Alterations in functional network centrality in first-episode drug-naïve adolescent-onset schizophrenia

Cited by 10 publications

References 46 publications

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Resting-state perfusion in motor and fronto-limbic areas is linked to diminished expression of emotion and speech in schizophrenia

Abnormal degree centrality in first-episode medication-free adolescent depression at rest: A functional magnetic resonance imaging study and support vector machine analysis

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