Graph Theory Analysis of the Cortical Functional Network During Sleep in Patients With Depression

Song, Yingjie; Wang, Kejie; Yu, Wei; Zhu, Yongpeng; Wen, Jinfeng; Luo, Yuxi

doi:10.3389/fphys.2022.858739

Cited by 5 publications

(4 citation statements)

References 63 publications

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“…The participants reported that the air mattress was softer than the control mattress. Our previous studies indicated that MDD patients showed a consistent enhancement of functional connectivity (Lian et al, 2021;Song et al, 2022;Zhang et al, 2022b), and the female participants exhibited stronger EEG functional connectivity than the male participants (Liao et al, 2019). We are aware that female patients are more likely to suffer from depression (Eid et al, 2019;Gao et al, 2020b) and that patients with depression are more sensitive to the outside environment.…”

Section: Figurementioning

confidence: 97%

Investigating the influence of an adjustable zoned air mattress on sleep: a multinight polysomnography study

Zhu

Zhou

et al. 2023

Front. Neurosci.

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IntroductionA comfortable mattress should improve sleep quality. In this study, we sought to investigate the specific sleep parameters that could be affected by a mattress and explore any potential differences between the effects felt by each sex.MethodsA total of 20 healthy young adults (10 females and 20 males; 22.10 ± 1.25 years) participated in the experiments. A smart adjustable zoned air mattress was designed to maintain comfortable support, and an ordinary mattress was used for comparison. The participants individually spent four nights on these two mattresses in four orders for polysomnography (PSG) scoring. Sleep architecture, electroencephalogram (EEG) spectrum, and heart rate variability (HRV), which reflect the central and autonomic nervous activities, were used to compare the difference between the two mattresses.ResultsAn individual difference exited in sleep performance. The modes of influence of the mattresses were different between the sexes. The adjustable air mattress and the increase in experimental nights improved female participants' sleep efficiency, while male participants exhibited a smaller response to different mattresses. With an increasing number of experiment nights, both sexes showed increased REM and decreased N2 proportions; the N3 sleep proportion decreased in the male participants, and the heart rate decreased in both sexes. The performance of the EEG spectrum supports the above results. In addition, the adjustable air mattress weakened automatic nerve activity during N3 sleep in most participants. The female participants appeared to be more sensitive to mattresses. Experiment night was associated with psychological factors. There were differences in the results for this influence between the sexes.ConclusionThis study may shed some light on the differences between the ideal sleep environment of each sex.

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Section: Figurementioning

confidence: 97%

Investigating the influence of an adjustable zoned air mattress on sleep: a multinight polysomnography study

Zhu

Zhou

et al. 2023

Front. Neurosci.

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“…The structural and functional properties of graphs of brain networks can be quantitatively investigated through measures of [ 239 ]: Functional segregation, e.g., clustering coefficients [ 248 , 249 , 250 , 251 , 252 ] and modularity [ 253 ]. Functional integration, based on the concept of path [ 248 , 254 ] and estimating the ease of communication between brain areas.…”

Section: Functional Connectivity Estimation Approachesmentioning

confidence: 99%

“…Functional segregation, e.g., clustering coefficients [ 248 , 249 , 250 , 251 , 252 ] and modularity [ 253 ].…”

Section: Functional Connectivity Estimation Approachesmentioning

confidence: 99%

Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends

et al. 2023

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Understanding how different areas of the human brain communicate with each other is a crucial issue in neuroscience. The concepts of structural, functional and effective connectivity have been widely exploited to describe the human connectome, consisting of brain networks, their structural connections and functional interactions. Despite high-spatial-resolution imaging techniques such as functional magnetic resonance imaging (fMRI) being widely used to map this complex network of multiple interactions, electroencephalographic (EEG) recordings claim high temporal resolution and are thus perfectly suitable to describe either spatially distributed and temporally dynamic patterns of neural activation and connectivity. In this work, we provide a technical account and a categorization of the most-used data-driven approaches to assess brain-functional connectivity, intended as the study of the statistical dependencies between the recorded EEG signals. Different pairwise and multivariate, as well as directed and non-directed connectivity metrics are discussed with a pros–cons approach, in the time, frequency, and information-theoretic domains. The establishment of conceptual and mathematical relationships between metrics from these three frameworks, and the discussion of novel methodological approaches, will allow the reader to go deep into the problem of inferring functional connectivity in complex networks. Furthermore, emerging trends for the description of extended forms of connectivity (e.g., high-order interactions) are also discussed, along with graph-theory tools exploring the topological properties of the network of connections provided by the proposed metrics. Applications to EEG data are reviewed. In addition, the importance of source localization, and the impacts of signal acquisition and pre-processing techniques (e.g., filtering, source localization, and artifact rejection) on the connectivity estimates are recognized and discussed. By going through this review, the reader could delve deeply into the entire process of EEG pre-processing and analysis for the study of brain functional connectivity and learning, thereby exploiting novel methodologies and approaches to the problem of inferring connectivity within complex networks.

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“…Changes in the organisation of the global network of structural and functional brain connectomes have been illustrated in MDD compared to healthy controls [45]. In general, it is now believed that functional network topology can become a powerful tool for depressive nosological diagnoses [46].…”

Section: Glutamate Receptors and Biomarkersmentioning

confidence: 99%

Psychiatric Psychobiological Treatment Versus Exclusive Psychological Treatment in Depressive Disorders

Bertolín-Guillén¹

2023

AJPN

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Introduction: Scientific information on the antidepressant effectiveness of the varied usual therapeutic interventions is considerable but of poor quality. Objective: To analyse the scientifically well qualified international contributions on the effectiveness of habitual psychobiological psychiatric interventions in depressive disorders. Method: N= 6 structured bibliographic systems have been reviewed in a non-systematic, narrative and synthetic way and N= 75 significant contributions have been selected. Results and discussion: Patients with severe depression are more likely to receive any type of medical attention, but less likely to receive adequate attention. The use of both drugs and psychotherapy is the habitual mixed combined intervention during any ordinary psychiatric treatment. We will call it psychobiological or psychopharmacological intervention. The exclusive psychological intervention without using any medically prescribed drugs, is likely to be less cost/effective. The matter is not only to prioritise but also to adequately combine psychiatric interventions and added psychological interventions when convenient. The intervention on the neurophysiological pathways related with glutamate, the GABAergic, opioidergic, and inflammatory systems as well as on connectome and microbiome are being promoted for future drug antidepressant therapy with encouraging results. Conclusion: The mixed psychiatric option using drugs and psychotherapy, either regulated or not, by the intervening psychiatrist himself or herself is probably the main therapeutic choice for the correctly diagnosed depressive disorders. The psychotherapeutics intervention excluding the psychobiological psychiatric intervention in correctly diagnosed depressions will be insufficient in general. The professional psychological intervention may obviously complement the mixed psychiatric intervention, but can not replace it.

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Graph Theory Analysis of the Cortical Functional Network During Sleep in Patients With Depression

Cited by 5 publications

References 63 publications

Investigating the influence of an adjustable zoned air mattress on sleep: a multinight polysomnography study

Investigating the influence of an adjustable zoned air mattress on sleep: a multinight polysomnography study

Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends

Psychiatric Psychobiological Treatment Versus Exclusive Psychological Treatment in Depressive Disorders

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