Common neurobiological correlates of resilience and personality traits within the triple resting-state brain networks assessed by 7-Tesla ultra-high field MRI

Abstract

Despite numerous studies investigating resilience and personality trials, a paucity of information regarding their neurobiological commonalities at the level of the large resting-state networks (rsNWs) remains. Here we address this topic using the advantages of ultra-high-field (UHF) 7T-MRI, characterized by higher signal-to-noise ratio and increased sensitivity. The association between resilience, personality traits and three fMRI measures (fractional amplitude of low-frequency fluctuations (fALFF), degree centrality (DC) and regional homogeneity (ReHo)) determined for three core rsNWs (default mode (DMN), salience (SN), and central executive network (CEN)) were examined in 32 healthy volunteers. The investigation revealed a significant role of SN in both resilience and personality traits and a tight association of the DMN with resilience. DC in CEN emerged as a significant moderator for the correlations of resilience with the personality traits of neuroticism and extraversion. Our results indicate that the common neurobiological basis of resilience and the Big Five personality traits may be reflected at the level of the core rsNWs.

Associations Between Changes in Psychological Resilience and Resting-State Functional Connectivity Throughout Pediatric Concussion Recovery

“…Additional a priori analyses found that 72hrs resilience was also signi cantly associated with within-SN FC in orthopedicinjured children. This is consistent with previous reports of negative correlations between resilience and within-SN FC in healthy populations (Altinok et al, 2021;Bolsinger et al, 2018). As suggested by Altinok et al (2021), highly-resilient individuals might have decreased switching of the SN between networks responsible for processing self-relevant information.…”

“…This is consistent with previous reports of negative correlations between resilience and within-SN FC in healthy populations (Altinok et al, 2021;Bolsinger et al, 2018). As suggested by Altinok et al (2021), highly-resilient individuals might have decreased switching of the SN between networks responsible for processing self-relevant information. Highly-resilient individuals might thus maintain a reasonable emotional response to trauma, allowing for an increased capacity to focus on their current mental state and successfully cope without interference from internal and external stressors.…”

Test–retest stability of spontaneous brain activity and functional connectivity in the core resting‐state networks assessed with ultrahigh field 7‐Tesla resting‐state functional magnetic resonance imaging

“…ReHo values, indicative of disrupted local functionality, have been linked to several neurological and psychiatric disorders, such as Alzheimer's disease (He et al, 2007), chronic pain attention-deficit hyperactivity disorder (de Celis Alonso et al, 2014), autism spectrum disorders (Paakki et al, 2010), depression (Guo et al, 2011), bipolar disorder (Shan et al, 2020) and schizophrenia (Ma et al, 2019;Mwansisya et al, 2017); as well as in first-degree relatives of patients with schizophrenia (Liao et al, 2012). In addition, a recent study demonstrated a significant association between ReHo in the DMN and resilience, as well as with the personality traits extroversion (in the CEN and SN) and conscientiousness (in the SN) (Altinok et al, 2021).…”

Contribution of cortical layers to human dynamic functional connectivity

“…Although the network that has been investigated the most during resting-state is the DMN, which is involved in mental processes that take place mostly in the absence of a task (Raichle et al, 2001), its interplay with the CEN and the SN, i.e., the "triple network" (Menon, 2011) has recently gained attention due to its potential role in psychopathology and mind-shaping (Menon, 2019, Altinok et al, 2021. According to the triple network hypothesis, the SN acts as a switch between the DMN and CEN (Kronke et al, 2020, Nekovarova et al, 2014, Whitesell et al, 2021.…”