Not all discounts are created equal: Regional activity and brain networks in temporal and effort discounting

Varma, Mohith M.; Zhen, Shanshan; Yu, Rongjun

doi:10.1016/j.neuroimage.2023.120363

Cited by 3 publications

(1 citation statement)

References 227 publications

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“…We recently demonstrated that a similar effect is also observed in healthy adults following acute MPH administration [ 31 ]. Notably, multiple sub-scales of impulsivity are considered to rely on DMN and dorsolateral prefrontal cortex functionality and connectivity [ 31 – 35 ]. In support of that, previous studies associated variability in impulsive behavior with connectivity patterns of sub-regions within the DMN network, including the medial prefrontal cortex (mPFC), posterior cingulate cortex (PCC) and anterior cingulate cortex (ACC) [ 36 – 42 ].…”

Section: Introductionmentioning

confidence: 99%

Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions

Daood,

Magal,

Peled-Avron

et al. 2024

Behav Brain Funct

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

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Section: Introductionmentioning

confidence: 99%

Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions

Daood,

Magal,

Peled-Avron

et al. 2024

Behav Brain Funct

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Heightened SAM- and HPA-axis activity during acute stress impairs decision-making: A systematic review on underlying neuropharmacological mechanisms

van Herk,

Schilder,

de Weijer

et al. 2024

Neurobiology of Stress

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Heterogenous brain activations across individuals localize to a common network

Peng,

Cui,

Zhong

et al. 2024

Commun Biol

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Task functional magnetic resonance imaging research has generally shielded away from studying individuals due to the low reproducibility. Here, we propose that heterogeneous brain activations across individuals localize to a common network. To test this hypothesis, we use working memory (WM) as our example. First, we showed that discrete-brain-based reproducibility of brain activation during WM across individuals was low. Then, we used activation network mapping (ANM) technique to identify each individual’s brain network of WM and found that network-based reproducibility was rather high. Prediction analyses using machine learning algorithms indicated that individual WM networks identified via ANM can predict WM behavioral performance. This predictive ability even outperformed that of brain activations. Our study provides a new explanation on the low reproducibility of brain activations across individuals. The results suggest that ANM can be used to identify individual brain networks of cognitive processes, thus promising broad potential applications.

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Not all discounts are created equal: Regional activity and brain networks in temporal and effort discounting

Cited by 3 publications

References 227 publications

Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions

Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions

Heightened SAM- and HPA-axis activity during acute stress impairs decision-making: A systematic review on underlying neuropharmacological mechanisms

Heterogenous brain activations across individuals localize to a common network

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