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However, the neurobiological effects of this variant on human brain network architecture are incompletely understood. We studied healthy individuals and used multimodal neuroimaging (sample size range: 219\u2013284 across modalities) and network\u2010based statistics (NBS) to probe the specificity of <jats:italic>MAOA\u2010L<\/jats:italic>\u2010related connectomic alterations to cortical\u2010limbic circuits and the emotion processing domain. We assessed the spatial distribution of affected links across several neuroimaging tasks and data modalities to identify potential alterations in network architecture. Our results revealed a distributed network of node links with a significantly increased connectivity in <jats:italic>MAOA\u2010L<\/jats:italic> carriers compared to the carriers of the high expression <jats:italic>(H)<\/jats:italic> variant. The hyperconnectivity phenotype primarily consisted of between\u2010lobe (\u201canisocoupled\u201d) network links and showed a pronounced involvement of frontal\u2010temporal connections. Hyperconnectivity was observed across functional magnetic resonance imaging (fMRI) of implicit emotion processing (<jats:italic>p<\/jats:italic><jats:sub>FWE<\/jats:sub> = .037), resting\u2010state fMRI (<jats:italic>p<\/jats:italic><jats:sub>FWE<\/jats:sub> = .022), and diffusion tensor imaging (<jats:italic>p<\/jats:italic><jats:sub>FWE<\/jats:sub> = .044) data, while no effects were seen in fMRI data of another cognitive domain, that is, spatial working memory (<jats:italic>p<\/jats:italic><jats:sub>FWE<\/jats:sub> = .540). These observations are in line with prior research on the <jats:italic>MAOA\u2010L<\/jats:italic> variant and complement these existing data by novel insights into the specificity and spatial distribution of the neurogenetic effects. 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