Journal Article FZJ-2024-05530

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Charting the brain networks of impulsivity: Meta-analytic synthesis, functional connectivity modelling and neurotransmitter associations

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2024
MIT Press Cambridge, MA

Imaging neuroscience 2, 1-22 () [10.1162/imag_a_00295]

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Abstract: Impulsivity is a multidimensional construct that plays a crucial role in human behaviour and is believed to be a transdiagnostic marker of several psychiatric disorders. However, given its multifaceted nature, investigations of its neural correlates are challenging and systematic comparisons across dimensions are lacking. In this study, we used a comprehensive multi-modal approach to investigate the functional network organisation of two dimensions in which impulsivity manifests: decision-making and response inhibition. ALE meta-analyses of task-based fMRI studies within each dimension identified two distinct and non-overlapping functional systems. One located in the default-mode network, associated with value-based judgments and goal-directed decision-making, and the other distributed across higher-order networks associated with cognitive control. Resting-state functional connectivity revealed the two systems were organised into four specialised communities of default-mode, cingulo-insular, frontoparietal, and temporal regions. Finally, given the widespread use of neurotransmitter-acting medication to treat conditions with impulsive symptoms, we investigated the association between this organisation and neurochemistry and found that integration across communities was associated with PET-derived serotonin receptor density. Our findings reinforce insights from previous behavioural research and provide substantial evidence for the multidimensional nature of impulsivity on the neural level. This highlights the necessity for a comprehensive dimensional ontology on all levels of investigation to address impulsivity in a transdiagnostic manner.

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Note: This study was supported by the Deutsche Forschungsgemeinschaft (DFG, GermanResearch Foundation) – 269953372/GRK2150; 69953372/GRK2150, EI816/11-1; and431549029/SFB1451, Jülich-Aachen Research Alliance (JARA), the National Institute ofMental Health (R01-MH074457), the Helmholtz Portfolio Theme "Supercomputing andModeling for the Human Brain“, and the European Union’s Horizon 2020 Research andInnovation Programme under Grant Agreement No. 945539 (HBP SGA3)

Contributing Institute(s):
  1. Gehirn & Verhalten (INM-7)
Research Program(s):
  1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)
  2. JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) (JL SMHB-2021-2027)

Appears in the scientific report 2024
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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; DOAJ Seal
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 Record created 2024-09-16, last modified 2025-02-03


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