Dissociated neural substrates underlying impulsive choice and impulsive action

Wang, Qiang; Chen, Chuansheng; Cai, Ying; Li, Siyao; Zhao, Xiao; Zheng, Li; Zhang, Hanqi; Liu, Jing; Xue, Gui

doi:10.1016/j.neuroimage.2016.04.010

Cited by 108 publications

(79 citation statements)

References 138 publications

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“…The most robustly linked regions in the present study and the only ones to predict DRD beyond all other regions and total cortical GMV were the MTG and EC, regions that converge with the largest previous morphometric study (Wang et al, 2016), but have generally not been emphasized in understanding the brain structures associated with DRD. Nonetheless, in prior fMRI meta-analyses on DRD, the MTG was shown be active during DRD tasks across studies, but was not interpreted as part of the key networks identified: the DMN, reward valuation network, and cognitive control networks (Carter et al, 2010; Wesley and Bickel, 2014).…”

Section: Discussioncontrasting

confidence: 47%

“…Studies using with smaller sample sizes have reported relationships between DRD and GMV in different regions, such as prefrontal cortex, insular cortex, and striatum (Bjork et al, 2009; Mohammadi et al, 2015; Tschernegg et al, 2015; Wang et al, 2016). Here, the bilateral orbitofrontal cortex and left insula were associated with mAUC after FDR correction and others of these regions were represented among significant associations in the parcellation analysis (e.g., superior frontal gyrus, frontal pole), but did not survive multiple comparison correction.…”

Section: Discussionmentioning

confidence: 99%

“…However, two other studies both found associations with the lateral prefrontal cortex, but not the medial prefrontal cortex (Bjork et al, 2009; Mohammadi et al, 2015). The largest study to date found DRD to be associated with GMV in the frontal pole, dorsolateral prefrontal cortex, medial orbitofrontal cortex, parahippocampal gyrus, striatum, temporal pole, precuneus, and precentral gyrus (Wang et al, 2016). Collectively, these initial studies suggest the brain regions in which structure is associated with DRD are those involved in subjective reward valuation (striatum, insula), self-reflective and prospective thought (DMN; medial frontal cortex, posterior cingulate, lateral temporal lobe), and cognitive control (dorsolateral frontal cortex, anterior cingulate cortex).…”

Section: Introductionmentioning

confidence: 99%

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Neuroanatomical foundations of delayed reward discounting decision making

et al. 2017

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Resolving tradeoffs between smaller immediate rewards and larger delayed rewards is ubiquitous in daily life and steep discounting of future rewards is associated with several psychiatric conditions. This form of decision-making is referred to as delayed reward discounting (DRD) and the features of brain structure associated with DRD are not well understood. The current study characterized the relationship between gray matter volume (GMV) and DRD in a sample of 1038 healthy adults (54.7% female) using cortical parcellation, subcortical segmentation, and voxelwise cortical surface-based group analyses. The results indicate that steeper DRD was significantly associated with lower total cortical GMV, but not subcortical GMV. In parcellation analyses, less GMV in 20 discrete cortical regions was associated with steeper DRD. Of these regions, only GMV in the middle temporal gyrus (MTG) and entorhinal cortex (EC) were uniquely associated with DRD. Voxelwise surface-based analyses corroborated these findings, again revealing significant associations between steeper DRD and less GMV in the MTG and EC. To inform the roles of MTG and EC in DRD, connectivity analysis of resting state data (N=1003) using seed regions from the structural findings was conducted. This revealed that spontaneous activity in the MTG and EC was correlated with activation in the ventromedial prefrontal cortex, posterior cingulate cortex, and inferior parietal lobule, regions associated with the default mode network, which involves prospection, self-reflective thinking and mental simulation. Furthermore, meta-analytic co-activation analysis using Neurosynth revealed a similar pattern across 11,406 task-fMRI studies. Collectively, these findings provide robust evidence that morphometric characteristics of the temporal lobe are associated with DRD preferences and suggest it may be because of their role in mental activities in common with default mode activity.

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Section: Discussioncontrasting

confidence: 47%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neuroanatomical foundations of delayed reward discounting decision making

et al. 2017

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“…Consistent with this perspective, one study using both structural and functional connectivity analyses found overlapping frontostriatal connectivity patterns (Jarbo & Verstynen, 2015). Another recent study examined similar brain regions using resting-state functional connectivity, and related this connectivity to analogous discounting and response inhibition tasks (Wang et al 2016 In Press). Remarkably, their findings closely mirror our own: they reported that resting-state connectivity between the vSTR and vmPFC and frontal pole was associated with delay discounting, whereas pre-SMA connectivity was associated with motor impulsivity.…”

Section: Discussionmentioning

confidence: 99%

“…Crucially, there is evidence that each of these different forms of impulsivity relies on distinct neural systems (e.g. Wang et al 2016 In Press).…”

Section: Introductionmentioning

confidence: 99%

Dissociable frontostriatal white matter connectivity underlies reward and motor impulsivity

et al. 2017

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Dysfunction of cognitive control often leads to impulsive decision-making in clinical and healthy populations. Some research suggests that a generalized cognitive control mechanism underlies the ability to modulate various types of impulsive behavior, while other evidence suggests different forms of impulsivity are dissociable, and rely on distinct neural circuitry. Past research consistently implicates several brain regions, such as the striatum and portions of the prefrontal cortex, in impulsive behavior. However the ventral and dorsal striatum are distinct in regards to function and connectivity. Nascent evidence points to the importance of frontostriatal white matter connectivity in impulsivity, yet it remains unclear whether particular tracts relate to different control behaviors. Here we used probabilistic tractography of diffusion imaging data to relate ventral and dorsal frontostriatal connectivity to reward and motor impulsivity measures. We found a double dissociation such that individual differences in white matter connectivity between the ventral striatum and the ventromedial prefrontal cortex and dorsolateral prefrontal cortex was associated with reward impulsivity, as measured by delay discounting, whereas connectivity between dorsal striatum and supplementary motor area was associated with motor impulsivity, but not vice versa. Our findings suggest that (a) structural connectivity can is associated with a large amount of behavioral variation; (b) different types of impulsivity are driven by dissociable frontostriatal neural circuitry.

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Neural representations of the amount and the delay time of reward in intertemporal decision making

Wang

et al. 2021

Human Brain Mapping

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Numerous studies have examined the neural substrates of intertemporal decisionmaking, but few have systematically investigated separate neural representations of the two attributes of future rewards (i.e., the amount of the reward and the delay time). More importantly, no study has used the novel analytical method of representational connectivity analysis (RCA) to map the two dimensions' functional brain networks at the level of multivariate neural representations. This study independently manipulated the amount and delay time of rewards during an intertemporal decision task. Both univariate and multivariate pattern analyses showed that brain activity in the dorsomedial prefrontal cortex (DMPFC) and lateral frontal pole cortex (LFPC) was modulated by the amount of rewards, whereas brain activity in the DMPFC and dorsolateral prefrontal cortex (DLPFC) was modulated by the length of delay. Moreover, representational similarity analysis (RSA) revealed that even for the regions of the DMPFC that overlapped between the two dimensions, they manifested distinct neural activity patterns. In terms of individual differences, those with large delay discounting rates (k) showed greater DMPFC and LFPC activity as the amount of rewards increased but showed lower DMPFC and DLPFC activity as the delay time increased. Lastly, RCA suggested that the topological metrics (i.e., global and local

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Dissociated neural substrates underlying impulsive choice and impulsive action

Cited by 108 publications

References 138 publications

Neuroanatomical foundations of delayed reward discounting decision making

Neuroanatomical foundations of delayed reward discounting decision making

Dissociable frontostriatal white matter connectivity underlies reward and motor impulsivity

Neural representations of the amount and the delay time of reward in intertemporal decision making

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