Distributed representation of context by intrinsic subnetworks in prefrontal cortex is a research paper published in Proceedings of the National Academy of Sciences (2017). On theSindex it has a DataRank of 1.3. It has been cited 34 times, with 31 citing works in its 1-hop citation network.
Human prefrontal cortex supports goal-directed behavior by representing abstract information about task context. The organizational basis of these context representations, and of representations underlying other higher-order processes, is unknown. Here, we use multivariate decoding and analyses of spontaneous correlations to show that context representations are distributed across subnetworks within prefrontal cortex. Examining targeted prefrontal regions, we found that pairs of voxels with similar context preferences exhibited spontaneous correlations that were approximately twice as large as those between pairs with opposite context preferences. This subnetwork organization was stable across task-engaged and resting states, suggesting that abstract context representations are constrained by an intrinsic functional architecture. These results reveal a principle of fine-scaled functional organization in association cortex.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.533
From this paper's citation signal
Citation Network Contribution
0.747
From 23 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 42% comes from its base citations and 58% from the citation network (23 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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