Reza Khosrowabadi

Dr. Reza Khosrowabadi


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 January 2021 in Scientific Reports
Verified
Journal Article
Open access
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MSMajid Saberi
Majid Saberi
RKReza Khosrowabadi
Reza Khosrowabadi
AKAli Khatibi
Ali Khatibi
BMBratislav Misic
Bratislav Misic
Reza JafariReza Jafari
Reza Jafari
Stability is a physical attribute that stands opposite the change. However, it is still unclear how the arrangement of links called topology affects network stability. In this study, we tackled this issue in the resting-state brain network using structural balance. Structural balance theory employs the quality of triadic associations between signed links to determine the network stability. In this study, we showed that negative links of the resting-state network make hubs to reduce balance-energy and push the network into a more stable state compared to null-networks with trivial topologies. In this regard, we created a global measure entitled ‘tendency to make hub’ to assess the hubness of the network. Besides, we revealed nodal degrees of negative links have an exponential distribution that confirms the existence of negative hubs. Our findings indicate that the arrangement of negative links plays an important role in the balance (stability) of the resting-state brain network.

1 May 2017 in Psychiatry Research: Neuroimaging
Verified
Journal Article
Closed access
MSMasoumeh Sadeghi
Masoumeh Sadeghi
RKReza Khosrowabadi
Reza Khosrowabadi
FBFatemeh Bakouie
Fatemeh Bakouie
HMHoda Mahdavi
Hoda Mahdavi
CEChangiz Eslahchi
Changiz Eslahchi
HPHamidreza Pouretemad
Hamidreza Pouretemad

20 December 2019 in Scientific Reports
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Journal Article
Open access
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KDKolsoum Dehdar
Kolsoum Dehdar
SMShirin Mahdidoust
Shirin Mahdidoust
MSMorteza Salimi
Morteza Salimi
LGLeila Gholami-Mahtaj
Leila Gholami-Mahtaj
MNMilad Nazari
Milad Nazari
MRMohammad Reza Raoufy
Mohammad Reza Raoufy
Anxiety is prevalent in asthma, and is associated with disease severity and poor quality of life. However, no study to date provides direct experimental evidence for the effect of allergic inflammation on the structure and function of medial prefrontal cortex (mPFC) and amygdala, which are essential regions for modulating anxiety and its behavioral expression. We assessed the impact of ovalbumin (OVA)-induced allergic inflammation on the appearance of anxiety-like behavior, mPFC and amygdala volumes using MRI, and the mPFC-amygdala circuit activity in sensitized rats. Our findings exhibited that the OVA challenge in sensitized rats induced anxiety-like behavior, and led to more activated microglia and astrocytes in the mPFC and amygdala. We also found a negative correlation between anxiety-like behavior and amygdala volume. Moreover, OVA challenge in sensitized rats was associated with increases in mPFC and amygdala activity, elevation of amygdala delta-gamma coupling, and the enhancement of functional connectivity within mPFC-amygdala circuit – accompanied by an inverted direction of information transferred from the amygdala to the mPFC. We indicated that disrupting the dynamic interactions of the mPFC-amygdala circuit may contribute to the induction of anxiety-related behaviors with asthma. These findings could provide new insight to clarify the underlying mechanisms of allergic inflammation-induced psychiatric disorders related to asthma.

1 March 2018 in Basic and Clinical Neuroscience Journal
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Journal Article
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RKReza Khosrowabadi
Reza Khosrowabadi
Introduction: Long-term stressful situations can drastically influence one’s mental life. However, the effect of mental stress on recognition of emotional stimuli needs to be explored. In this study, recognition of emotional stimuli in a stressful situation was investigated. Four emotional conditions, including positive and negative states in both low and high ...

1 October 2019 in Asian Journal of Psychiatry
Verified
Journal Article
Closed access
SSSaeid Sadeghi
Saeid Sadeghi
HPHamidreza Pouretemad
Hamidreza Pouretemad
RKReza Khosrowabadi
Reza Khosrowabadi
JFJalil Fathabadi
Jalil Fathabadi
SNSedighe Nikbakht
Sedighe Nikbakht

1 September 2017 in Basic and Clinical Neuroscience Journal
Verified
Journal Article
Open access
FFFarnaz Faridi
Farnaz Faridi
RKReza Khosrowabadi
Reza Khosrowabadi
Asperger syndrome (AS) is a subtype of Autism Spectrum Disorder (ASD) characterized by major problems in social and nonverbal communication, together with limited and repetitive forms of behavior and interests. The linguistic and cognitive development in AS is preserved which help us to differentiate it from other subtypes of ASD. However, significant effects of AS on cognitive abilities and brain functions still need to be researched. Although a clear cut pathology for Asperger has not been identified yet, recent studies have largely focused on brain imaging techniques to investigate AS. In this regard, we carried out a systematic review on behavioral, cognitive, and neural markers (specifically using MRI and fMRI) studies on AS. In this paper, behavior, motor skills and language capabilities of individuals with Asperger are compared to those in healthy controls. In addition, common findings across MRI and fMRI based studies associated with behavior and cognitive disabilities are highlighted.