Frequency-specific alternations in the moment-to-moment BOLD signals variability in schizophrenia

Zhang, Youxue; Yang, Rui; Cai, Xueli

doi:10.1007/s11682-019-00233-1

Cited by 11 publications

(13 citation statements)

References 45 publications

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“…Since the oscillations in different frequency bands reflect the characteristics of different oscillators 30 , the analysis in a specific sub-band was able to suggest the spontaneous activity more specifically after removing the interfering signals in other frequency bands 42 . Although oscillations in brain activity was mainly regarded as electrophysiological signals, it also has been used in fMRI study 30 , 32 . Based on the specificity of brain activity in NE children, frequency-specific alteration might contribute to classification of the diagnosis of NE, which has been used for many disease classification 31 , 43 .…”

Section: Discussionmentioning

confidence: 99%

“…The signals of gray matter related oscillatory amplitudes were found in slow-5 and slow-4 ranges, while that of white matter signals and high-frequency physiological noises mainly in slow-3 and slow-2. Many studies have revealed frequency-dependent abnormalities in neurological and psychiatry diseases including autism spectrum disorder 31 , schizophrenia 32 , and depression 29 . Given limited findings in the studies related with the band 0.01–0.08 Hz, further information may be provided sub-bands (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Frequency-specific alterations of the resting-state BOLD signals in nocturnal enuresis: an fMRI Study

Zheng

Sun

et al. 2021

Sci Rep

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Resting state functional magnetic resonance imaging studies of nocturnal enuresis have focused primarily on regional metrics in the blood oxygen level dependent (BOLD) signal ranging from 0.01 to 0.08 Hz. However, it remains unclear how local metrics show in sub-frequency band. 129 children with nocturnal enuresis (NE) and 37 healthy controls were included in this study. The patients were diagnosed by the pediatricians in Shanghai Children’s Medical Center affiliated to Shanghai Jiao Tong University School of Medicine, according to the criteria from International Children's Continence Society (ICCS). Questionnaires were used to evaluate the symptoms of enuresis and completed by the participants. In this study, fALFF, ReHo and PerAF were calculated within five different frequency bands: typical band (0.01–0.08 Hz), slow-5 (0.01–0.027 Hz), slow-4 (0.027–0.073 Hz), slow-3 (0.073–0.198 Hz), and slow-2 (0.198–0.25 Hz). In the typical band, ReHo increased in the left insula and the right thalamus, while fALFF decreased in the right insula in children with NE. Besides, PerAF was increased in the right middle temporal gyrus in these children. The results regarding ReHo, fALFF and PerAF in the typical band was similar to those in slow-5 band, respectively. A correlation was found between the PerAF value of the right middle temporal gyrus and scores of the urinary intention-related wakefulness. Results in other bands were either negative or in white matter. NE children might have abnormal intrinsic neural oscillations mainly on slow-5 bands.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency-specific alterations of the resting-state BOLD signals in nocturnal enuresis: an fMRI Study

Zheng

Sun

et al. 2021

Sci Rep

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“…Previous studies have shown that SZ patients are not only characterized by frequency-specific changes (Gohel et al 2018; Yu et al 2013; Zhang, Yang, and Cai 2020) or temporal dynamic changes (Du et al 2017; Kottaram et al 2018), but also frequency-specific dynamic alterations (Zou and Yang 2019; Luo, He, et al 2020). Our previous study has demonstrated the altered CAP dynamics between SZ and HC in the typical range (Yang et al 2021), and the frequency-specific alterations in SZ were further studied in the current work.…”

Section: Discussionmentioning

confidence: 99%

“…Our previous study has shown the altered CAP state dynamics of SZ patients were not only involved with the triple-network, but also extend to other primary and high-order networks (Yang et al 2021). Besides the dynamic brain changes, SZ patients also showed frequency-specific alterations in several aspects, including ALFF (Yu et al 2014; Gohel et al 2018; Meda et al 2015; Hare et al 2017), ReHo (Yu et al 2013), BOLD variability (Zhang, Yang, and Cai 2020), as well as functional connectivity (Wang et al 2017; Han et al 2017). Furthermore, Zou and colleagues distinguished schizophrenia patients from healthy controls using the dFC estimated at different frequency bands (Zou and Yang 2019), and Luo et al found that SZ showed distinct dFC strength alterations in slow-4 and slow-5 (Luo, He, et al 2020), these results suggest the underlying frequency-specific dynamic alterations in psychosis.…”

Section: Introductionmentioning

confidence: 99%

Frequency-specific coactivation patterns in resting-state and their alterations in schizophrenia: an fMRI study

Yang

Zhang

et al. 2021

Preprint

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The resting-state human brain is a dynamic system that shows frequency-specific characteristics. Coactivation pattern (CAP) analysis has been recently used to identify recurring brain states sharing similar coactivation configurations. However, whether and how CAPs differ across different sub-frequency bands are unknown. In the current study, in addition to the typical low-frequency range (0.01 - 0.08 Hz), the spatial and temporal characteristics of CAPs in four sub-frequency bands, slow-5 (0.01 - 0.027 Hz), slow-4 (0.027 - 0.073 Hz), slow-3 (0.073 - 0.198 Hz), and slow-2 (0.198 - 0.25 Hz), were studied. Six CAP states were obtained for each band., The CAPs from the typical frequency range were spatially largely overlapped with those in slow-5, slow-4 and slow-3 but not with those in slow-2. With the increase of frequency, the CAP state became more unstable and resulted in an overall shorter persistence. The spatial and temporal characteristics of slow-4 and slow-5 were further compared, because they constitute most power of the resting-state fMRI signals. In general, slow-4 showed stronger coactivations or co-deactivations in subcortical regions, while slow-5 showed stronger coactivations or co-deactivations in large-scale cortical networks such as the dorsal attention network. Lastly, frequency-dependent dynamic alterations were also observed in schizophrenia patients. Combining the information obtained from both slow-5 and slow-4 increased the classification accuracy of schizophrenia patients than only using the typical range. In conclusion, our results revealed that the spatial and temporal characteristics of CAP state varied at different frequency bands, which could be helpful for identifying brain alterations in schizophrenia.

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“…23 It has shown that the amount of dopamine in a stratum is more than average in schizophrenia patients compared with healthy people. 24 Excess dopamine intensifies of psychotic symptoms in patients is correlated with increases in released dopamine levels. Excess secretion of dopamine is observant significantly throughout exacerbation in comparison to remission periods.…”

Section: Dopamine Hypothesismentioning

confidence: 99%

Schizophrenia; Recent Cognitive and Treatment Approaches Using Induced Pluripotent Stem Cells

Rastgar

2020

Int Clin Neurosci J

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One of the most severe mental disorder which leads to a disturbance in the percipience of reality is named schizophrenia. Schizophrenia is a combination of hallucinations, delusions, and mental disorders that the severity of them impairs healthy thinking and behavior, and in general, the inability to perform daily activities. Behavioral, intellectual, and emotional disorders indicate the widespread impact of schizophrenia on various aspects of mental health. Schizophrenia's signs and symptoms of schizophrenia are varied, although delusions, hallucinations, or disorganized speech included in common symptoms. Dopamine has been the main subject of much research on schizophrenia for decades. Molecular neuroimaging studies to explore the dopamine system (DA system) in vivo have revealed that Schizophrenia is first associated with a defect in the striatum and then with a defect in extrastriatal regions with centralizing on cortex and midbrain. Also, the gamma-aminobutyric acid (GABA) mRNA dysregulation and neuroinflammatory mechanisms can be useful in schizophrenia. Various medications such as antipsychotic drugs used to the aim of treating this disease, but they can just decline or improve the positive symptoms. Modeling neurodevelopment and synaptic connection defects by induced human pluripotent stem cells have made appropriate circumstances to eliminate schizophrenia treatment barriers. With the development of cell therapies and induced pluripotent stem cells (iPSCs), there is a hope that the negative symptoms can be improved.

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Frequency-specific alternations in the moment-to-moment BOLD signals variability in schizophrenia

Cited by 11 publications

References 45 publications

Frequency-specific alterations of the resting-state BOLD signals in nocturnal enuresis: an fMRI Study

Frequency-specific alterations of the resting-state BOLD signals in nocturnal enuresis: an fMRI Study

Frequency-specific coactivation patterns in resting-state and their alterations in schizophrenia: an fMRI study

Schizophrenia; Recent Cognitive and Treatment Approaches Using Induced Pluripotent Stem Cells

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