Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions DOI Creative Commons
Maryana Daood, Noa Magal, Leehe Peled‐Avron

et al.

Behavioral and Brain Functions, Journal Year: 2024, Volume and Issue: 20(1)

Published: June 20, 2024

Abstract Background The Default Mode Network (DMN) is a central neural network, with recent evidence indicating that it composed of functionally distinct sub-networks. Methylphenidate (MPH) administration has been shown before to modulate impulsive behavior, though not yet clear whether these effects relate MPH-induced changes in DMN connectivity. To address this gap, we assessed the impact MPH on functional connectivity patterns within and between sub-networks tested putative relations variability sub-scales impulsivity. Methods Fifty-five right-handed healthy adults underwent two resting-state MRI (rs-fMRI) scans, following acute either (20 mg) or placebo, via randomized double-blind placebo-controlled design. Graph modularity analysis was implemented fractionate into based (vs. placebo) other networks. Results led an overall decreased connectivity, particularly auditory, cinguloopercular, somatomotor networks, increased parietomedial network. revealed could be fractionated sub-networks, one exhibiting Decreased sub-network cinguloopercular network associated elevated impulsivity non-planning impulsiveness. Conclusion Current findings highlight intricate rs-fMRI uncovering its opposing sub-divisions. dynamics networks may account for some behavior.

Language: Английский

Effective connectivity analysis of response inhibition functional network DOI Creative Commons

Monica Di Giuliano,

Andy Schumann, Feliberto de la Cruz

et al.

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: April 7, 2025

Inhibition mechanisms are essential in daily life, helping individuals adapt to environmental demands. However, the causal interactions between large-scale functional networks involved response inhibition remain poorly understood. In this study, we examined effective connectivity (EC) underlying inhibitory processes brain using dynamic modeling (DCM) and independent component analysis (ICA). We conducted a Go-NoGo fMRI task with 19 healthy participants investigate these networks. Our results identified four activated during correct motor inhibition: salience network (SN), right left executive control (ECNs), ventral default mode (vDMN). observed significant influence from vDMN ECN (lECN). Under conditions of unsuccessful inhibition, SN, bilateral ECNs, somatomotor (SMN) were found be prominently activated. Furthermore, correlation SMN SN commission error rate. Finally, analyses self-reported impulsivity levels revealed that highly impulsive require greater interhemispheric integration ECNs for as well excitatory modulation (rECN) vDMN. summary, our study reveals complex hierarchical dynamics among inhibition. These findings offer valuable insight into neural supporting provide avenues future research on underpinnings critical cognitive function across lifespan.

Language: Английский

Citations

0

Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions DOI Creative Commons
Maryana Daood, Noa Magal, Leehe Peled‐Avron

et al.

Behavioral and Brain Functions, Journal Year: 2024, Volume and Issue: 20(1)

Published: June 20, 2024

Abstract Background The Default Mode Network (DMN) is a central neural network, with recent evidence indicating that it composed of functionally distinct sub-networks. Methylphenidate (MPH) administration has been shown before to modulate impulsive behavior, though not yet clear whether these effects relate MPH-induced changes in DMN connectivity. To address this gap, we assessed the impact MPH on functional connectivity patterns within and between sub-networks tested putative relations variability sub-scales impulsivity. Methods Fifty-five right-handed healthy adults underwent two resting-state MRI (rs-fMRI) scans, following acute either (20 mg) or placebo, via randomized double-blind placebo-controlled design. Graph modularity analysis was implemented fractionate into based (vs. placebo) other networks. Results led an overall decreased connectivity, particularly auditory, cinguloopercular, somatomotor networks, increased parietomedial network. revealed could be fractionated sub-networks, one exhibiting Decreased sub-network cinguloopercular network associated elevated impulsivity non-planning impulsiveness. Conclusion Current findings highlight intricate rs-fMRI uncovering its opposing sub-divisions. dynamics networks may account for some behavior.

Language: Английский

Citations

2