Differential upregulation of metabolic demands and functional integration of the default mode network during stress
Schlosser, G.; Milz, C.; Falb, P.; Graf, S.; Tüchler, S. M.; Murgas, M.; Mayerweg, A.; Schmidt, C.; Pörnbacher, I.; Artmeier, L.; Harouak, A.; Lenz, J.; Sahl, A.; Grohmann, M.; Briem, E.; Reed, M. B.; Marculescu, R.; Nics, L.; Rasul, S.; Rujescu, D.; Hacker, M.; Pruessner, J. C.; Lanzenberger, R.; Hahn, A.
Show abstract
Psychosocial stress engages coordinated physiological and neural responses that enable adaptation to environmental challenges. However, maladaptive stress and reduced resilience are major risk factors for psychiatric and neurodegenerative disorders. As the brains metabolic response to stress remains largely unexplored, we used simultaneous [18F]FDG PET/MRI during performance of the Montreal Imaging Stress Task to assess cerebral glucose metabolism, BOLD activation and functional connectivity. On top of activation in relation to cognitive processing, psychosocial stress specifically recruits the posterior cingulate cortex (PCC) with increased glucose metabolism and attenuated BOLD deactivations. This was accompanied by reduced PCC integration within the default mode network and increased influence onto frontoparietal and dorsal attention networks. Moreover, individuals exhibiting an endocrine stress response showed lower resilience scores, failed to downregulate anterior cingulate cortex (ACC) metabolism during stress, and displayed an inverse relationship between ACC glucose metabolism and anterior insula functional connectivity. Together, these results demonstrate that acute psychosocial stress induces coordinated alterations in brain metabolism and large-scale network organization. Our findings show that metabolic imaging provides complementary information, revealing stress-related brain responses not captured by hemodynamics alone, thereby providing a multimodal framework for understanding human stress processing and individual vulnerability to stress-related psychiatric disorders.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Childhood socio-economic disadvantage predicts reduced myelin growth across adolescence and young adulthood 94%
- Sex Moderates Family History of Alcohol Use Disorder and Childhood Maltreatment Effects on an fMRI Stop-Signal Task 93%
- Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis 93%
Similar papers in this journal
- Stress-induced change in salience network coupling prospectively predicts trauma-related symptoms 94%
- A Brain Model of Altered Self-Appraisal in Social Anxiety Disorder 93%
- Novel polygenic risk score as a translational tool linking depression-related changes in the corticolimbic transcriptome with neural face processing and anhedonic symptoms 93%
Similar papers in this journal
- Common and distinct neurofunctional signatures of emotion regulation strategies in dynamic naturalistic contexts and their clinical translation 94%
- Predicting individual differences of fear and cognitive learning and extinction 93%
- Structural connectivity matures along a sensorimotor-association connectional axis in youth 93%
Similar papers in this journal
- Neural signature underlying the effect of intranasal vasopressin on emotional responses to spontaneous social comparison 94%
- Relationships between depressive symptoms and brain responses during emotional movie viewing emerge in adolescence 94%
- The anterior insula channels prefrontal expectancy signals during affective processing 93%
Similar papers in this journal
- Neural Substrates of Approach-Avoidance Control in Motivational Conflict 95%
- Prefrontal responses during proactive and reactive inhibition are differentially impacted by stress in anorexia and bulimia nervosa 94%
- Improving approach-avoidance control in social anxiety by targeting phase-amplitude coupling between prefrontal and sensorimotor cortex 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.