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Mladen Sormaz

Researcher at University of York

Publications -  20
Citations -  944

Mladen Sormaz is an academic researcher from University of York. The author has contributed to research in topics: Default mode network & Cognition. The author has an hindex of 12, co-authored 20 publications receiving 668 citations. Previous affiliations of Mladen Sormaz include University of Milano-Bicocca.

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Default mode network can support the level of detail in experience during active task states

TL;DR: A study combining experience sampling with functional neuroimaging concludes that activity within the DMN encodes information associated with ongoing cognition that goes beyond whether attention is directed to the task, including detailed experiences during active task states.
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Distant from input : Evidence of regions within the default mode network supporting perceptually-decoupled and conceptually-guided cognition

TL;DR: Using task based imaging, regions that respond when cognition combines both stimulus independence with multi‐modal information are established and it is shown that these regions were located at the extreme end of a macroscale gradient, which describes gradual transitions from sensorimotor to transmodal cortex.
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The role of the default mode network in component processes underlying the wandering mind.

TL;DR: This study examines the relationships between individual differences in resting-state DMN connectivity, performance on memory, social and planning tasks and variability in spontaneous thought to investigate whether the DMN is critical to mind-wandering because it supports stimulus-independent cognition, memory retrieval, or both.
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Left dorsolateral prefrontal cortex supports context-dependent prioritisation of off-task thought.

TL;DR: It is shown that the dorsolateral prefrontal cortex (DLPFC) is involved in both on- task thought during increased environmental demands, and off-task thought during decreased demand–suggesting a role for the DLPFC in prioritising goals in a context-dependent manner.
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Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour

TL;DR: Data show that quantitative and qualitative variation in semantic cognition across individuals emerges from variations in the interaction of nodes within distinct functional brain networks.