Temporal dynamic changes of intrinsic brain activity in schizophrenia with cigarette smoking

Yang, Siqi; Meng, Yao; Li, Jiao; Chen, Huafu; Li, Du; Chen, Huafu; Liao, Wei

doi:10.1016/j.schres.2019.06.012

Cited by 32 publications

(22 citation statements)

References 57 publications

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“…Dynamic amplitude of low-frequency fluctuation (d-ALFF), an indicator of the variance of ALFF, is an effective tool to explore brain dynamics in healthy people ( Liao et al, 2019 ; Zou et al, 2009 ) and patients with neuropsychiatric disorders, including schizophrenia ( Yang et al, 2019 ), generalized anxiety disorder (GAD) ( Cui et al, 2019 ), and Parkinson’s disease ( Zhang et al, 2019 ). In addition, Li et al (2018a) discovered that in contrast to static ALFF abnormalities, d-ALFF abnormalities could predict the severity of suicidal ideation in major depressive disorders.…”

Section: Introductionmentioning

confidence: 99%

Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis

Chen

et al. 2020

PeerJ

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Background Static changes in local brain activity in patients suffering from amyotrophic lateral sclerosis (ALS) have been studied. However, the dynamic characteristics of local brain activity are poorly understood. Whether dynamic alterations could differentiate patients with ALS from healthy controls (HCs) remains unclear. Methods A total of 54 patients with ALS (mean age = 48.71 years, male/female = 36/18) and 54 (mean age = 48.30 years, male/female = 36/18) HCs underwent magnetic resonance imaging scans. To depict static alterations in cortical activity, amplitude of low-frequency fluctuations (ALFF) which measures the total power of regional activity was computed. Dynamic ALFF (d-ALFF) from all subjects was calculated using a sliding-window approach. Statistical differences in ALFF and d-ALFF between both groups were used as features to explore whether they could differentiate ALS from HC through support vector machine method. Results In contrast with HCs, patients with ALS displayed increased ALFF in the right inferior temporal gyrus and bilateral frontal gyrus and decreased ALFF in the left middle occipital gyrus and left precentral gyrus. Furthermore, patients with ALS demonstrated lower d-ALFF in widespread regions, including the right lingual gyrus, left superior temporal gyrus, bilateral precentral gyrus, and left paracentral lobule by comparison with HCs. In addition, the ALFF in the left superior orbitofrontal gyrus had a tendency of correlation with ALSFRS-R score and disease progression rate. The classification performance in distinguishing ALS was higher with both features of ALFF and d-ALFF than that with a single approach. Conclusions Decreased dynamic brain activity in the precentral gyrus, paracentral gyrus, lingual gyrus, and temporal regions was found in the ALS group. The combined ALFF and d-ALFF could distinguish ALS from HCs with a higher accuracy than ALFF and d-ALFF alone. These findings may provide important evidence for understanding the neuropathology underlying ALS.

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Section: Introductionmentioning

confidence: 99%

Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis

Chen

et al. 2020

PeerJ

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“…In fact, spontaneous brain activity is dynamic and changes over time. The temporal variability of intrinsic brain activity relates to the functional ability of neural networks, and it can be acquired through dynamic integration or adjustment on multiple time scales [21][22][23]. So far, no study has been reported on the static or dynamic alteration of intrinsic brain activity for patients with lung cancer treated with CTx or without CTx.…”

Section: Introductionmentioning

confidence: 99%

Altered Dynamic Neural Activity in the Default Mode Network in Lung Cancer Patients After Chemotherapy

You

Zhang

et al. 2020

Med Sci Monit

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Background: Few studies have examined functional brain changes specifically associated with chemotherapy (CTx) in patients with lung cancer. This prospective longitudinal research aimed to explore the change in intrinsic brain activity by investigating patients with lung cancer after CTx. Material/Methods: Sixteen patients and 20 healthy individuals were enrolled in this study. The amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), dynamic amplitude of low-frequency fluctuation (dALFF), and dynamic regional homogeneity (dReHo) were computed. The group differences in resting state functional magnetic resonance imaging (rs-fMRI) parameters were compared. Alterations in the rs-fMRI parameters from before CTx to after CTx were assessed using the paired t-test. We performed correlation analyses between rs-fMRI parameters and Montreal Cognitive Assessment (MoCA) scores. Results: We found statistically significant differences in MoCA scores before CTx and after CTx. Compared to the healthy group, rs-fMRI values decreased in the frontal regions as well as parietal regions compared to values before CTx. In addition, we found significantly decreased rs-fMRI values in the default-mode network (DMN) region of the brain before CTx compared to after CTx. We found no significant correlations between altered intrinsic activity values and MoCA scores. Conclusions: The current study indicated that patients with lung cancer after CTx had decreased dynamic brain activity in the DMN region, and the DMN is vulnerable when patients undergoing CTx.

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“…Dynamic functional connectivity (dFC) analysis overcomes this static restriction and can reflect the timevarying patterns and temporal dynamic characteristics of FC (Hutchison et al 2013). Studies have shown that dFC analysis produces more sensitive results than sFC analysis for identifying group differences between healthy controls and patients with various neurological diseases (Chen et al 2018;Fu et al 2018;Yang et al 2019). Notably, a previous study (Kesler et al 2017) demonstrated that functional dynamics were distinctly lower in breast cancer patients than in control participants.…”

Section: Introductionmentioning

confidence: 99%

Aberrant static and dynamic functional connectivity of the executive control network in lung cancer patients after chemotherapy: a longitudinal fMRI study

Chen

et al. 2020

Brain Imaging and Behavior

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Objective The purpose of the current study was to investigate chemotherapy-related variations in the intrinsic static and dynamic functional connectivity (sFC and dFC, respectively) of the executive control network (ECN) in lung cancer patients. Materials and methods In this study, we evaluated 18 lung cancer patients scanned before and after adjuvant chemotherapy treatment and compared the patients with 21 healthy controls (HCs). All subjects underwent resting-state functional MRI (rs-fMRI). We constructed the sFC and dFC of the bilateral dorsolateral prefrontal cortex (DLPFC) using a sliding-window approach, and the correlations between the changed sFC or dFC and cognitive performance were analyzed. Results Whole-brain sFC analysis showed that the lung cancer patients showed significant FC pattern changes in the bilateral DLPFC, mainly in the bilateral superior frontal gyrus (SFG), bilateral middle frontal gyrus, left superior temporal gyrus, left inferior parietal lobe and the right insula. Furthermore, after chemotherapy, the lung cancer patients showed significantly reduced dFC variability between the right DLPFC and right precuneus compared with HCs. In addition, the decreased dFC between the right DLPFC and left SFG in the lung cancer patients after chemotherapy in state 1 and between the right DLPFC and left insula in the lung cancer patients before chemotherapy in state 2 were negatively correlated with MoCA scores ((r =-0.520, p = 0.039; r =-0.548, p = 0.028, respectively). Conclusions Our results reveal that dynamic connectivity analysis is more effective and sensitive than methods that assume static brain states for linking brain FC patterns and chemotherapy.

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Temporal dynamic changes of intrinsic brain activity in schizophrenia with cigarette smoking

Cited by 32 publications

References 57 publications

Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis

Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis

Altered Dynamic Neural Activity in the Default Mode Network in Lung Cancer Patients After Chemotherapy

Aberrant static and dynamic functional connectivity of the executive control network in lung cancer patients after chemotherapy: a longitudinal fMRI study

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