Functional brain network topology across the menstrual cycle is estradiol dependent and correlates with individual well‐being

Liparoti, Marianna; Lopez, Emahnuel Troisi; Sarno, Laura; Rucco, Rosaria; Minino, Roberta; Pesoli, Matteo; Perruolo, Giuseppe; Formisano, Pietro; Lucidi, Fabio; Sorrentino, Giuseppe; Sorrentino, Pierpaolo

doi:10.1002/jnr.24898

Cited by 21 publications

(19 citation statements)

References 108 publications

(148 reference statements)

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“…In addition, the relatively small sample prohibits drawing conclusion about gender differences in brain underpinnings of personality mainly for females, more affected by hormonal fluctuation (Liparoti et al 2021). However, the differences between groups in our study encourage us to continue this line of research to better understand the topological organization in both.…”

Section: Discussionmentioning

confidence: 77%

Brain network topology and personality traits: a source level magnetoencephalographic study

Lopez

Colonnello

Liparoti

et al. 2021

Preprint

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Personality neuroscience is focusing on the correlation between individual differences and the efficiency of large-scale networks from the perspective of the brain as an interconnected network. A suitable technique to explore this relationship is the magnetoencephalography (MEG), but little are MEG studies aimed at investigating topological properties correlated to personality traits. By using MEG, the present study is aimed at evaluating how individual differences described in Cloninger’s psychobiological model are correlated with specific cerebral structures. Fifty healthy individuals (20 males, 30 females, mean age: 27.4 ± 4.8 years) underwent Temperament and Character Inventory examination and MEG recording during a resting state condition. High harm avoidance scores were associated with a reduced centrality of the left caudate nucleus and this negative correlation was maintained in females when we analyzed gender differences. Our data suggest that the caudate nucleus plays a key role in adaptive behavior and could be a critical node in insular salience network. The clear difference between males and females allows us to suggest that topological organization correlated to personality is highly dependent on gender. Our findings provide new insights to evaluate the mutual influences of topological and functional connectivity in neural communication efficiency and disruption as biomarkers of psychopathological traits.

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Section: Discussionmentioning

confidence: 77%

Brain network topology and personality traits: a source level magnetoencephalographic study

Lopez

Colonnello

Liparoti

et al. 2021

Preprint

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“…Although we have demonstrated the importance of the TLR4/NF-κB/TNF-α axis in the activation of microglia and the pathogenesis of sickness behaviors, there remain certain limitations. Firstly, to avoid the effects of cyclical changes in estrogen on mouse behaviors [42][43][44], we only conducted in vivo studies in male mice. Gender-based differences have been reported in microglia, which may exert a pivotal role in altering immune responses [45][46][47].…”

Section: Discussionmentioning

confidence: 99%

Inhibition of the TLR4/NF-κB/TNF-α axis by TAK-242 or PDTC reduces central nervous system inflammation to alleviate lipopolysaccharide induced sickness behaviors in mice

Tuo

Wang

Chen

et al. 2022

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Background: During the pathogenic microorganisms infection, animals will exhibit sickness behaviors, yet there is a lack of sufficient research on the pathogenesis of sickness behaviors and related treatments. We aim to ascertain the molecular mechanisms of lipopolysaccharide (LPS)-induced sickness behaviors and to find potential therapeutic methods.Methods: In this study, the mice with sickness behaviors elicited by LPS were utilized as the case group and the LPS-exposed mice treated with TAK-242 and PDTC were adopted as the treatment groups (TAK-242+LPS and PDTC+LPS), with PBS-treated mice as the control group. Expression patterns of nucleic acids, cytokines, or pathways were detected by transcriptome-wide analysis of hippocampal samples, enzyme-linked immunosorbent assay (ELISA), immunofluorescence staining, and Western blot assay.Results: Our results demonstrated marked cognitive dysfunction and emotional disorders in the LPS-induced sickness model mice, accompanied by activation of microglia and astrocytes in the hippocampus. RNAseq results showed 524 up-regulated genes and 126 down-regulated genes in the hippocampal tissues. Among them, 108 DEGs were involved in signal transduction, and NF-kappa B (NF-κB), Toll-like receptor (TLR), and TNF-α pathways were the pathways enriched with the largest number of genes. LPS-exposed mice were treated with two pathway inhibitors, TAK-242 and PDTC, respectively. Both of the two could significantly ameliorate the cognitive dysfunction caused by LPS, notably block the microglial activation in the hippocampus, and reduce the levels of neuroinflammatory factors such as IL-1a, IL-6, and TNF-α.Conclusion: Our results suggest that the TLR4/NF-κB/TNF-α axis may be a potential mechanism by which LPS-triggered neuroinflammation leads to sickness behaviors and that inhibitors TAK-242 and PDTC have potential therapeutic value.

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“…The MEG system was developed at the Institute of Applied Sciences and Intelligent Systems “E. Caianiello” of the National Research Council, Pozzuoli, Naples 35 . MEG data were acquired with a 163-magnetometers system placed in a magnetically shielded room (AtB Biomag UG, Ulm, Germany) to reduce background noise.…”

Section: Methodsmentioning

confidence: 99%

Flexibility of brain dynamics predicts clinical impairment in Amyotrophic Lateral Sclerosis

Polverino

Lopez

Minino

et al. 2022

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Amyotrophic lateral sclerosis (ALS) is a multisystem disorder. This view is widely supported by clinical, molecular and neuroimaging evidence. As a consequence, predicting clinical features requires a comprehensive description of large-scale brain activity. Flexible dynamics is key to support complex adaptive responses. In health, brain activity reconfigures over time, involving different brain areas. Brain pathologies can induce more stereotyped dynamics, which, in turn, are linked to clinical impairment. Hence, based on recent evidence that brain functional networks become more connected as ALS progresses, we hypothesized that loss of flexible dynamics in ALS would predict their clinical condition. To test this hypothesis, we quantified flexibility utilizing the functional repertoire (i.e. the number of unique patterns) expressed during the magnetoencephalography (MEG) recording, based on source-reconstructed signals. Specifically, 42 ALS patients and 42 healthy controls underwent MEG and MRI recordings. The activity of the brain areas was reconstructed in the classical frequency bands, and the functional repertoire was estimated to quantify spatio-temporal fluctuations of brain activity. In order to verify if the functional repertoire predicted disease severity, we built a multilinear model and validated it using a k-fold cross validation scheme. The comparison between the two groups revealed that ALS patients showed more stereotyped brain dynamics (P < 0.05), with reduced size of the functional repertoire. The relationship between the size of the functional repertoire and the clinical scores in the ALS group was investigated using Spearman coefficient, showing significant correlations in both the delta and the theta frequency bands. In order to prove the robustness of our results, the k-fold cross validation model was used. We found that the functional repertoire significantly predicted both clinical staging (P < 0.001 and P < 0.01, in delta and theta bands, respectively) and impairment (P < 0.001, in both delta and theta bands). In conclusion, our work shows that: 1) ALS pathology reduces the flexibility of brain dynamics; 2) sub-cortical regions play a key role in determining brain dynamics; 3) reduced brain flexibility predicts the stage of the disease as well as the severity of the symptoms. Based on these findings, our approach provides a non-invasive tool to quantify alterations in brain dynamics in ALS (and, possibly, other neurodegenerative diseases), thus opening new diagnostic opportunities as well as a framework to test disease-modifying interventions.

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Functional brain network topology across the menstrual cycle is estradiol dependent and correlates with individual well‐being

Cited by 21 publications

References 108 publications

Brain network topology and personality traits: a source level magnetoencephalographic study

Brain network topology and personality traits: a source level magnetoencephalographic study

Inhibition of the TLR4/NF-κB/TNF-α axis by TAK-242 or PDTC reduces central nervous system inflammation to alleviate lipopolysaccharide induced sickness behaviors in mice

Flexibility of brain dynamics predicts clinical impairment in Amyotrophic Lateral Sclerosis

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