A new window to understanding individual differences in reward sensitivity from attentional networks

Abstract

Revista:Brain Structure and Function, 2014 Abstract:Existing evidence suggests that the presence of reward cues modifies the activity in attentional networks; however, the nature of these influences remains poorly understood. Here, we performed independent component analysis (ICA) in two fMRI datasets corresponding to two incentive delay tasks, which compared the response to reward (money and erotic pictures) and neutral cues, and yielded activations in the ventral striatum using a General Linear Model approach. Across both experiments, ICA revealed that both the right frontoparietal network and default mode network time courses were positively and negatively modulated by reward cues, respectively.Moreover, this dual neural response pattern was enhanced in individuals with strong reward sensitivity. Therefore, ICA may be a complementary tool to investigate the relevant role of attentional networks on reward processing, and to investigate reward sensitivity in normal and pathological populations.

Reduced activity in functional networks during reward processing is modulated by abstinence in cocaine addicts

“…Existing evidence suggests that trait impulsivity is a risk factor for drug experimentation, problematic drug use and inability to abstain from drug use (De Wit ). It has also been shown that impulsivity‐related traits modulate the response of functional networks during reward processing (Costumero et al ). Thus, further studies should differentiate the specific effects of dispositional factors and cocaine abuse in FPN modulation.…”

Implications of cortical balanced excitation and inhibition, functional heterogeneity, and sparseness of neuronal activity in fMRI

“…SICA may have a better specificity and sensitivity than GLM-BA and show novel feature of brain functional organization not revealed by GLM-BA such as extensive overlaps of FNs with opposite timecourses of task-related activities (Beldzik et al, 2013; Costumero et al, 2014; Domagalik et al, 2012; Xu et al, 2014b; Xu et al, 2015), due to its unique capacity of separating intermixed signals. In one of our recent studies, a GLM-BA revealed task-related increases, decreases, and no-changes in BOLD signal in separate brain regions.…”

Neural Modulation in Aversive Emotion Processing: An Independent Component Analysis Study

“…The ICs of interest are usually selected as follows [40–42]:ICs with a stability index <0.9 in ICASSO must be removed; in the present study none of the estimated ICs were eliminated using this criterion.ICs are spatially sorted according to the templates of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) included in SPM8; those ICs whose values of R 2 > 0.02 for WM, R 2 > 0.05 for CSF, and those whose value of R 2 for GM is lesser than that obtained for WM and/or CSF are also discarded. In this study, after performing this step 6 ICs with values of R 2 > 0.02 for WM were discarded; no ICs with R 2 > 0.05 for CSF were found; and 8 ICs with R 2 value for GM less than that obtained for the other tissues were discarded.…”