Abnormal long- and short-range functional connectivity in adolescent-onset schizophrenia patients: A resting-state fMRI study

Wang, Shuai; Zhan, Yajing; Zhang, Yan; Lyu, Luxian; Lyu, Hailong; Wang, Guodong; Wu, Renrong; Zhao, Jingping; Guo, Wenbin

doi:10.1016/j.pnpbp.2017.08.012

Cited by 58 publications

(46 citation statements)

References 38 publications

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“… 10 Moreover, increased connectivity is a common finding in ANFE patients. 14 , 52 – 57 In line with this, our results suggest a hyper-coupling between fronto-parietal control networks that make patients unable to disengage networks in a dynamic sense. If the VAN is locked in it may also explain why patients are unable to disengage the DMN during tasks.…”

Section: Discussionsupporting

confidence: 85%

Alterations of Intrinsic Connectivity Networks in Antipsychotic-Naïve First-Episode Schizophrenia

Anhøj

Nielsen

Jensen

et al. 2018

Schizophrenia Bulletin

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BackgroundThe investigation of large-scale intrinsic connectivity networks in antipsychotic-naïve first-episode schizophrenia increases our understanding of system-level cerebral dysfunction in schizophrenia while enabling control of confounding effects of medication and disease progression. Reports on functional connectivity in antipsychotic-naïve patients have been mixed and the relation between network alterations, psychopathology and cognition is unclear.MethodsA total number of 47 patients with first-episode schizophrenia who had never received antipsychotic medication and 47 healthy controls were scanned with functional magnetic resonance imaging under resting conditions. Main outcome measures were differences in functional connectivity between groups and the relationship between network alterations, psychopathology and cognition.ResultsAltered connectivity was found between right central executive network (CEN) and right ventral attention network (VAN) (patients > controls, P = .001), left CEN and left VAN (P = .002), and between posterior default mode network and auditory network (P = .006). Association between network connectivity and clinical characteristics was found as interactions between the effects of group and sustained attention (P = .005) and between group and processing speed (P = .007) on the connectivity between right CEN and right VAN.ConclusionsOur findings suggest that the early phase of schizophrenia is characterized by increased connectivity between fronto-parietal networks suggested to be involved in the control of cognitive and sensory functions. Moreover, the present study suggests that the problem of not disengaging the VAN leads to difficulties with attention and possibly subjective awareness.

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Section: Discussionsupporting

confidence: 85%

Alterations of Intrinsic Connectivity Networks in Antipsychotic-Naïve First-Episode Schizophrenia

Anhøj

Nielsen

Jensen

et al. 2018

Schizophrenia Bulletin

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“…Therefore, the combination of high VMHC values in the inferior frontal gyrus and posterior cingulate cortex, as well as in the inferior temporal gyrus and postcentral gyrus, may serve as a potential image marker to distinguish the patients with BSP from healthy controls. Our report is consistent with those of fMRI studies in patients with schizophrenia ( Li et al, 2018 ; Wang et al, 2018 ). Therefore, early detection and improved accuracy of the diagnosis in patients with BSP may be achieved based on the fMRI imaging using the combination of inferior frontal gyrus and posterior cingulate cortex or the inferior temporal gyrus and postcentral gyrus.…”

Section: Discussionsupporting

confidence: 93%

Voxel-Mirrored Homotopic Connectivity of Resting-State Functional Magnetic Resonance Imaging in Blepharospasm

Wei

Yang

et al. 2018

Front. Psychol.

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Objective: Several networks in human brain are involved in the development of blepharospasm. However, the underlying mechanisms for this disease are poorly understood. A voxel-mirrored homotopic connectivity (VMHC) method was used to quantify the changes in functional connectivity between two hemispheres of the brain in patients with blepharospasm.Methods: Twenty-four patients with blepharospasm and 24 healthy controls matched by age, sex, and education were recruited. The VMHC method was employed to analyze the fMRI data. The support vector machine (SVM) method was utilized to examine whether these abnormalities could be applied to distinguish the patients from the controls.Results: Compared with healthy controls, patients with blepharospasm showed significantly high VMHC in the inferior temporal gyrus, interior frontal gyrus, posterior cingulate cortex, and postcentral gyrus. No significant correlation was found between abnormal VMHC values and clinical variables. SVM analysis showed a combination of increased VMHC values in two brain areas with high sensitivities and specificities (83.33 and 91.67% in the combined inferior frontal gyrus and posterior cingulate cortex; and 83.33 and 87.50% in the combined inferior temporal gyrus and postcentral gyrus).Conclusion: Enhanced homotopic coordination in the brain regions associated with sensory integration networks and default-mode network may be underlying the pathophysiology of blepharospasm. This phenomenon may serve as potential image markers to distinguish patients with blepharospasm from healthy controls.

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“…Reduced FC is an observation often reported in human fMRI studies of neurodevelopmental disorders, such as autism and schizophrenia (Gao andPenzes, 2016, Uhlhaas andSinger, 2006) (Kraguljac et al, 2016, Sforazzini et al, 2016, Cherkassky et al, 2006, Just et al, 2007, Minshew and Keller, 2010, Gur and Gur, 2010, Wang et al, 2018, as well as in t relevant mouse models of these disorders , Zerbi et al, 2018b. One of the prevailing hypotheses is that lack of sufficient PV interneuron expression is causative for the observed aberrant patterns of neural activity and connectivity (Wohr et al, 2015, Penagarikano et al, 2011.…”

Section: Activated Excitatory Dreadd In Wildtype Mice and Inhibitory mentioning

confidence: 93%

Cortical excitation:inhibition imbalance causes abnormal brain network dynamics as observed in neurodevelopmental disorders

Markicevic

Fulcher

Lewis

et al. 2018

Preprint

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AbstractAbnormal brain development manifests itself at different spatial scales. However, whether abnormalities at the cellular level can be diagnosed from network activity measured withfunctional magnetic resonance imaging (fMRI) is largely unknown, yet of high clinical relevance. Here we applied fMRI while using chemogenetics to increase the excitation-to-inhibition ratio (E:I) within cortical microcircuits of the mouse brain, thereby mimicking a putative mechanism of neurodevelopmental disorders including autism. Increased E:I caused a significant reduction of long-range connectivity, irrespective of whether excitatory neurons were facilitated or inhibitory Parvalbumin interneurons were suppressed. Training a classifier on fMRI signals, we were able to accurately classify cortical areas exhibiting increased E:I. This classifier was validated in an independent cohort of Fmr1y/- knock-out mice, a model for autism with well-documented loss of Parvalbumin neurons and chronic alterations of E:I. Our findings demonstrate a promising novel approach towards inferring microcircuit abnormalities from macroscopic fMRI measurements.

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Abnormal long- and short-range functional connectivity in adolescent-onset schizophrenia patients: A resting-state fMRI study

Cited by 58 publications

References 38 publications

Alterations of Intrinsic Connectivity Networks in Antipsychotic-Naïve First-Episode Schizophrenia

Alterations of Intrinsic Connectivity Networks in Antipsychotic-Naïve First-Episode Schizophrenia

Voxel-Mirrored Homotopic Connectivity of Resting-State Functional Magnetic Resonance Imaging in Blepharospasm

Cortical excitation:inhibition imbalance causes abnormal brain network dynamics as observed in neurodevelopmental disorders

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