When speech intelligibility is reduced, listeners exploit constraints posed by semantic context to facilitate comprehension. The left angular gyrus (AG) has been argued to drive this semantic predictability gain. Taking a network perspective, we ask how the connectivity within languagespecific and domain-general networks flexibly adapts to the predictability and intelligibility of speech. Participants repeated sentences, which varied in semantic predictability of the final word and in acoustic intelligibility. At the neural level, increasing intelligibility of highly predictable sentences led to stronger activation of left-hemispheric semantic regions including subregions of the AG (PGa, PGp) and posterior middle temporal gyrus. The behavioural predictability gain of single participants mapped onto the same regions but was complemented by increased activity in frontal and medial regions. The facilitatory influence of PGp on PGa (quantified by dynamic causal modelling) increased for highly predictable sentences. In contrast, cingulo-opercular regions showed stronger activation with increasing intelligibility only for low predictability. Critically, better individual performance in highly predictable sentences correlated with a stronger inhibitory influence of pre-SMA on right insula. These results suggest that successful comprehension in noisy listening conditions relies on an interplay of semantic regions and concurrent inhibition of cognitive control regions when semantic cues are available. Keywords: angular gyrus, cingulo-opercular network, semantic network, predictability gain, speech in noise comprehension. Rysop, Schmitt, et al. · Page 2 of 38 Hartwigsen and colleagues (2015) used transcranial magnetic stimulation to demonstrate that the ventral portion of left AG is functionally relevant for the behavioural comprehension gain.Together, these studies provide converging evidence for a role of the left AG in the topdown use of semantic information when the incoming acoustic signal is degraded. Yet, the functional interplay of left AG with other regions in the semantic network are unclear. Moreover, no network-level descriptors of the semantic predictability gain to comprehension are known.