Mind-wandering with and without intention.
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TLDR
A novel theoretical framework regarding the mechanisms underlying intentional and unintentional mind-wandering is outlined, and it is suggested that, to increase clarity in the literature, there is a need to reconsider the bulk of the mind-Wandering literature with an eye toward deconvolving these two different cognitive experiences.About:
This article is published in Trends in Cognitive Sciences.The article was published on 2016-08-01 and is currently open access. It has received 265 citations till now. The article focuses on the topics: Cognition.read more
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The restless mind
TL;DR: Evidence suggests that mind wandering shares many similarities with traditional notions of executive control, and can be seen as a goal-driven process, albeit one that is not directed toward the primary task.
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Mind-wandering as a natural kind: A family-resemblances view
Paul Seli,Michael J. Kane,Jonathan Smallwood,Daniel L. Schacter,David Maillet,Jonathan W. Schooler,Daniel Smilek +6 more
TL;DR: This work suggests that mind-wandering is best considered from a family-resemblances perspective, which entails treating it as a graded, heterogeneous construct and clearly measuring and describing the specific aspect(s) of mind-Wandering that researchers are investigating.
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A Neural Model of Mind Wandering
TL;DR: A neural model is proposed that links the default-mode network and neuromodulation systems in an integrative framework and attempts to explain how dynamic changes in brain systems give rise to the subjective experience of mind wandering.
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Individual variation in intentionality in the mind-wandering state is reflected in the integration of the default-mode, fronto-parietal, and limbic networks
Johannes Golchert,Jonathan Smallwood,Elizabeth Jefferies,Paul Seli,Julia M. Huntenburg,Franziskus Liem,Mark E. Lauckner,Sabine Oligschläger,Boris C. Bernhardt,Arno Villringer,Daniel S. Margulies +10 more
TL;DR: One reason why mind‐wandering has a controversial relationship with control is because it depends on whether the thoughts emerge in a deliberate or spontaneous fashion, which may depend upon integration between the default‐mode and fronto‐parietal networks.
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Functional connectivity predicts changes in attention observed across minutes, days, and months.
Monica D. Rosenberg,Monica D. Rosenberg,Dustin Scheinost,Abigail S. Greene,Emily W. Avery,Young Hye Kwon,Emily S. Finn,Ramachandran Ramani,Maolin Qiu,R. Todd Constable,Marvin M. Chun +10 more
TL;DR: It is demonstrated that the sustained attention connectome-based predictive model (CPM), a validated model of sustained attention function, generalizes to predict attentional state from data collected across minutes, days, weeks, and months and reflects variability in the same functional connectivity patterns that predict individual differences in sustained attention.
References
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Control of goal-directed and stimulus-driven attention in the brain
TL;DR: Evidence for partially segregated networks of brain areas that carry out different attentional functions is reviewed, finding that one system is involved in preparing and applying goal-directed selection for stimuli and responses, and the other is specialized for the detection of behaviourally relevant stimuli.
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Orienting of attention
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A spreading-activation theory of semantic processing
TL;DR: The present paper shows how the extended theory can account for results of several production experiments by Loftus, Juola and Atkinson's multiple-category experiment, Conrad's sentence-verification experiments, and several categorization experiments on the effect of semantic relatedness and typicality by Holyoak and Glass, Rips, Shoben, and Smith, and Rosch.
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
B.T. Thomas Yeo,Fenna M. Krienen,Jorge Sepulcre,Jorge Sepulcre,Mert R. Sabuncu,Mert R. Sabuncu,Danial Lashkari,Marisa O. Hollinshead,Marisa O. Hollinshead,Joshua L. Roffman,Jordan W. Smoller,Lilla Zöllei,Jonathan R. Polimeni,Bruce Fischl,Bruce Fischl,Hesheng Liu,Randy L. Buckner +16 more
TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.