Inter-Strain Differences in Default Mode Network: A Resting State fMRI Study on Spontaneously Hypertensive Rat and Wistar Kyoto Rat

Huang, Sheng-Min; Wu, Yanjun; Peng, Shin‐Lei; Peng, Hongzhuang; Huang, Tseng-Chieng; Ho, Keang-Po; Wang, Fu-Nien

doi:10.1038/srep21697

Cited by 36 publications

(27 citation statements)

References 54 publications

(81 reference statements)

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“…insula, anterior cingulate cortex) and prediction errors by granular cortices in the salience and default mode network. Since large-scale brain networks have also been identified in rodents (Becerra, Pendse, Chang, Bishop, & Borsook, 2011;Huang et al, 2016;Kleckner et al, 2017;Lu et al, 2012;Sierakowiak et al, 2015), it represents an excellent translational assay, to link data derived from animal studies to humans.…”

Section: Future Directionsmentioning

confidence: 99%

Sensory Processing Sensitivity in the Context of Environmental Sensitivity: A Critical Review and Development of Research Agenda

Greven

Lionetti

Booth

et al. 2018

Preprint

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Sensory Processing Sensitivity (SPS) is a trait describing inter-individual differences in sensitivity to environments, both positive and negative ones. SPS has attracted growing societal interest. However, (neuro)scientific evidence is lagging behind. We critically discuss how to measure SPS, how it relates to other theories of Environmental Sensitivity and other temperament and personality traits, how SPS interacts with environments to influence (a)typical development, what the underlying aetiologies and mechanisms are, and its relation to mental disorders involving sensory sensitivities. Drawing on the diverse expertise of the authors, we set an agenda for future research to stimulate the field. We conclude that SPS is a heritable, evolutionarily conserved trait, linked to increased risk for psychopathology and stress-related problems in response to negative environments, as well as to greater benefits (e.g., intervention responsivity, positive mood) in positive environments. We need advances in objective assessment of SPS, understanding mechanisms, differentiating it from (seemingly) related mental disorders, to exploit the potential of SPS to improve mental health, preserve human capital, and prevent adverse effects.

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Section: Future Directionsmentioning

confidence: 99%

Sensory Processing Sensitivity in the Context of Environmental Sensitivity: A Critical Review and Development of Research Agenda

Greven

Lionetti

Booth

et al. 2018

Preprint

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“…Second, does the hippocampal MR pro‐inflammatory phenotype translate into an altered behaviour of the SHR rat? It is of relevance to the present study that SHR rats comprise a classical model for studying attention deficit hyperactivity disorder and also show a different coping style compared to WKY controls . Third, how is the increase in ramified microglia related to the increased expression of pro‐inflammatory markers?.…”

Section: Discussionmentioning

confidence: 80%

Mineralocorticoid receptor associates with pro‐inflammatory bias in the hippocampus of spontaneously hypertensive rats

Brocca

Pietranera

Meyer

et al. 2017

J Neuroendocrinology

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Damage observed in the hippocampus of the adult spontaneously hypertensive rat (SHR) resembles the neuropathology of mineralocorticoid-induced hypertension, supporting a similar endocrine dysfunction in both entities. In the present study, we tested the hypothesis that increased expression of the hippocampal mineralocorticoid receptor (MR) in SHR animals is associated with a prevalent expression of pro-inflammatory over anti-inflammatory factors. Accordingly, in the hippocampus, we measured mRNA expression and immunoreactivity of the MR and glucocorticoid receptor (GR) using a quantitative polymerase chain reaction and histochemistry. We also measured serum-glucocorticoid-activated kinase 1 (Sgk1 mRNA), the number and phenotype of Iba1+ microglia, as well as mRNA expression levels of the pro-inflammatory factors cyclo-oxygenase 2 (Cox2), Nlrp3 inflammasome and tumour necrosis factor α (Tnfα). Expression of anti-inflammatory transforming growth factor (Tgf)β mRNA and the NADPH-diaphorase activity of nitric oxide synthase (NOS) were also determined. The results showed that, in the hippocampus of SHR rats, expression of MR and the number of immunoreactive MR/GR co-expressing cells were increased compared to Wistar-Kyoto control animals. Expression of Sgk1, Cox2, Nlrp3 and the number of ramified glia cells positive for Iba1+ were also increased, whereas Tgfβ mRNA expression and the NADPH-diaphorase activity of NOS were decreased. We propose that, in the SHR hippocampus, increased MR expression causes a bias towards a pro-inflammatory phenotype characteristic for hypertensive encephalopathy.

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“…One common method in RS-fMRI (Resting state-fMRI) is Seed-based Correlation Analysis (SCA). SHR and WKY have been studied 29 . In general, SCA requires the choice of a ROI (Region Of Interest) to be a priori assumption, and needs to average over seed regions before calculating connectivity.…”

Section: Resultsmentioning

confidence: 99%

“…Our raw data come from the same source in Ref. 29, in this section, copyright is owing to the author who wrote "Magnetic resonance imaging" in the Ref. 15.…”

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

Categorizing SHR and WKY rats by chi2 algorithm and decision tree

Tsai

Chen

Hong

et al. 2020

Preprint

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In the past two decades neuroscience has offered many popular methods for the analysis of mental disorder, such as seedbased analysis, ICA, and graph methods. They are widely used in the study of brain network. We offer a new procedure that can simplify the analysis and has a high ROC index over 0.9. This method uses the graph theory to build a connectivity network, which is characterized by degrees and measures the number of effective links for each voxel. When the degree is ranked from low to high, the network equation can be fit by the power-law distribution. It has been proposed that distinct and yet robust exponents of the power law can differentiate human behavior. Using the mentally disordered SHR and WKY rats as samples, we employ chi2 algorithm and Decision Tree to classify different states of mental disorder by analyzing different traits in degree of connectivity.

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Inter-Strain Differences in Default Mode Network: A Resting State fMRI Study on Spontaneously Hypertensive Rat and Wistar Kyoto Rat

Cited by 36 publications

References 54 publications

Sensory Processing Sensitivity in the Context of Environmental Sensitivity: A Critical Review and Development of Research Agenda

Sensory Processing Sensitivity in the Context of Environmental Sensitivity: A Critical Review and Development of Research Agenda

Mineralocorticoid receptor associates with pro‐inflammatory bias in the hippocampus of spontaneously hypertensive rats

Categorizing SHR and WKY rats by chi2 algorithm and decision tree

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