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Updated: Jan 2, 2026
Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
Published on: March 17, 2019
You do not have to act to be impulsive: Brain resting-state activity predicts performance and impulsivity on the
Claudio Gentili1, Nicola Vanello2, Ioana Podina3
1Department of General Psychology, University of Padua, Padua, Italy.
Objective:
Impulsivity is a key, trait-like feature of the decision-making process. As personality traits are stable over time, we hypothesized that resting-state (RS) neural activity would predict individual impulsivity.
Methods:
Thirty-five healthy individuals underwent fMRI scan during RS and subsequently performed the Balloon Analogue Risk Task (BART). In BART, impulsivity was inversely correlated to monetary earnings. A group-level whole-brain regression assessed the relationship between earnings at BART and RS evaluated by the Hurst Exponent, regional homogeneity; low frequency oscillation (LFO), (including the Amplitude of Low Frequency Fluctuations - ALFF- and the fractional Amplitude of Low Frequency Fluctuations -fALFF) and the Default Mode Network (DMN) functional connectivity.
Results:
ALFF significantly correlates with total earnings in the ventral part of the ACC/MPFC (FWE corrected p < 0.05 (uncorrected p value <0.0005; cluster size: ≥10 voxels), while H significantly correlates with total earnings in the anterior insula and the part opercularis of the inferior frontal gyrus.
Conclusions:
These results suggest that impulsivity and ability to change strategies according to external cues are trait characteristics shaped in the RS's functional architecture that can be detected also when individuals are not engaged in decision-making tasks.
