The default mode network in cognition: a topographical perspective.
Journal
Nature reviews. Neuroscience
ISSN: 1471-0048
Titre abrégé: Nat Rev Neurosci
Pays: England
ID NLM: 100962781
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
accepted:
20
05
2021
pubmed:
7
7
2021
medline:
28
9
2021
entrez:
6
7
2021
Statut:
ppublish
Résumé
The default mode network (DMN) is a set of widely distributed brain regions in the parietal, temporal and frontal cortex. These regions often show reductions in activity during attention-demanding tasks but increase their activity across multiple forms of complex cognition, many of which are linked to memory or abstract thought. Within the cortex, the DMN has been shown to be located in regions furthest away from those contributing to sensory and motor systems. Here, we consider how our knowledge of the topographic characteristics of the DMN can be leveraged to better understand how this network contributes to cognition and behaviour.
Identifiants
pubmed: 34226715
doi: 10.1038/s41583-021-00474-4
pii: 10.1038/s41583-021-00474-4
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
503-513Subventions
Organisme : NIA NIH HHS
ID : R01 AG068563
Pays : United States
Organisme : Wellcome Trust
ID : WT 203148/Z/16
Pays : United Kingdom
Organisme : CIHR
ID : FDN-154298
Pays : Canada
Organisme : CIHR
ID : PJT-174995
Pays : Canada
Informations de copyright
© 2021. Springer Nature Limited.
Références
Davis, M. The role of the amygdala in fear and anxiety. Annu. Rev. Neurosci. 15, 353–375 (1992).
pubmed: 1575447
doi: 10.1146/annurev.ne.15.030192.002033
Milner, B., Corkin, S. & Teuber, H.-L. Further analysis of the hippocampal amnesic syndrome: 14-year follow-up study of HM. Neuropsychologia 6, 215–234 (1968).
doi: 10.1016/0028-3932(68)90021-3
Silbersweig, D. A. et al. Detection of thirty-second cognitive activations in single subjects with positron emission tomography: a new low-dose H
pubmed: 8314915
doi: 10.1038/jcbfm.1993.80
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T. & Oeltermann, A. Neurophysiological investigation of the basis of the fMRI signal. Nature 412, 150–157 (2001).
pubmed: 11449264
doi: 10.1038/35084005
Gazzaniga, M. S. The New Cognitive Neurosciences (MIT Press, 2000).
Grill-Spector, K. & Malach, R. The human visual cortex. Annu. Rev. Neurosci. 27, 649–677 (2004).
pubmed: 15217346
doi: 10.1146/annurev.neuro.27.070203.144220
Jack, C. R. Jr et al. Sensory motor cortex: correlation of presurgical mapping with functional MR imaging and invasive cortical mapping. Radiology 190, 85–92 (1994).
pubmed: 8259434
doi: 10.1148/radiology.190.1.8259434
Raichle, M. E. et al. A default mode of brain function. Proc. Natl Acad. Sci. USA 98, 676–682 (2001).
pubmed: 11209064
pmcid: 14647
doi: 10.1073/pnas.98.2.676
Shulman, G. L. et al. Searching for activations that generalize over tasks. Hum. Brain Mapp. 5, 317–322 (1997).
pubmed: 20408235
doi: 10.1002/(SICI)1097-0193(1997)5:4<317::AID-HBM19>3.0.CO;2-A
Duncan, J. The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour. Trends Cognit. Sci. 14, 172–179 (2010).
doi: 10.1016/j.tics.2010.01.004
Cole, M. W. et al. Multi-task connectivity reveals flexible hubs for adaptive task control. Nat. Neurosci. 16, 1348–1355 (2013).
pubmed: 23892552
pmcid: 3758404
doi: 10.1038/nn.3470
Buckner, R. L. & Wheeler, M. E. The cognitive neuroscience of remembering. Nat. Rev. Neurosci. 2, 624–634 (2001).
pubmed: 11533730
doi: 10.1038/35090048
Andreasen, N. C. et al. Remembering the past: two facets of episodic memory explored with positron emission tomography. Am. J. Psychiatry 152, 1576–1585 (1995).
pubmed: 7485619
doi: 10.1176/ajp.152.11.1576
Binder, J. R. et al. Conceptual processing during the conscious resting state: a functional MRI study. J. Cognit. Neurosci. 11, 80–93 (1999).
doi: 10.1162/089892999563265
Kelley, W. M. et al. Finding the self? An event-related fMRI study. J. Cognit. Neurosci. 14, 785–794 (2002).
doi: 10.1162/08989290260138672
Margulies, D. S. et al. Situating the default-mode network along a principal gradient of macroscale cortical organization. Proc. Natl Acad. Sci. USA 113, 12574–12579 (2016).
pubmed: 27791099
pmcid: 5098630
doi: 10.1073/pnas.1608282113
Hill, J. et al. Similar patterns of cortical expansion during human development and evolution. Proc. Natl Acad. Sci. USA 107, 13135–13140 (2010).
pubmed: 20624964
pmcid: 2919958
doi: 10.1073/pnas.1001229107
Buckner, R. L. & Krienen, F. M. The evolution of distributed association networks in the human brain. Trends Cognit. Sci. 17, 648–665 (2013).
doi: 10.1016/j.tics.2013.09.017
Mesulam, M.-M. From sensation to cognition. Brain 121, 1013–1052 (1998).
pubmed: 9648540
doi: 10.1093/brain/121.6.1013
Biswal, B., Yetkin, F. Z., Haughton, V. M. & Hyde, J. S. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 34, 537–541 (1995).
pubmed: 8524021
doi: 10.1002/mrm.1910340409
Friston, K., Frith, C., Liddle, P. & Frackowiak, R. Functional connectivity: the principal-component analysis of large (PET) data sets. J. Cereb. Blood Flow. Metab. 13, 5–14 (1993).
pubmed: 8417010
doi: 10.1038/jcbfm.1993.4
Greicius, M. D., Krasnow, B., Reiss, A. L. & Menon, V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl Acad. Sci. USA 100, 253–258 (2003).
pubmed: 12506194
doi: 10.1073/pnas.0135058100
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R. & Buckner, R. L. Functional-anatomic fractionation of the brain’s default network. Neuron 65, 550–562 (2010).
pubmed: 20188659
pmcid: 2848443
doi: 10.1016/j.neuron.2010.02.005
Yeo, B. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125–1165 (2011).
pubmed: 21653723
doi: 10.1152/jn.00338.2011
Andrews-Hanna, J. R., Smallwood, J. & Spreng, R. N. The default network and self-generated thought: component processes, dynamic control, and clinical relevance. Ann. N. Y. Acad. Sci. 1316, 29 (2014).
pubmed: 24502540
pmcid: 4039623
doi: 10.1111/nyas.12360
Braga, R. M. & Buckner, R. L. Parallel interdigitated distributed networks within the individual estimated by intrinsic functional connectivity. Neuron 95, 457–471 (2017).
pubmed: 28728026
pmcid: 5519493
doi: 10.1016/j.neuron.2017.06.038
DiNicola, L. M., Braga, R. M. & Buckner, R. L. Parallel distributed networks dissociate episodic and social functions within the individual. J. Neurophysiol. 123, 1144–1179 (2020).
pubmed: 32049593
pmcid: 7099479
doi: 10.1152/jn.00529.2019
Buckner, R. L. & DiNicola, L. M. The brain’s default network: updated anatomy, physiology and evolving insights. Nat. Rev. Neurosci. 20, 593–608 (2019).
pubmed: 31492945
doi: 10.1038/s41583-019-0212-7
Butters, N., Pandya, D., Stein, D. & Rosen, J. A search for the spatial engram within the frontal lobes of monkeys. Acta Neurobiol. Exp. 32, 305–329 (1972).
Fox, M. D. et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl Acad. Sci. USA 102, 9673–9678 (2005).
pubmed: 15976020
pmcid: 1157105
doi: 10.1073/pnas.0504136102
Leech, R., Braga, R. & Sharp, D. J. Echoes of the brain within the posterior cingulate cortex. J. Neurosci. 32, 215–222 (2012).
pubmed: 22219283
pmcid: 6621313
doi: 10.1523/JNEUROSCI.3689-11.2012
Braga, R. M. & Leech, R. Echoes of the brain: local-scale representation of whole-brain functional networks within transmodal cortex. Neuroscientist 21, 540–551 (2015).
pubmed: 25948648
pmcid: 4586496
doi: 10.1177/1073858415585730
Braga, R. M., Sharp, D. J., Leeson, C., Wise, R. J. & Leech, R. Echoes of the brain within default mode, association, and heteromodal cortices. J. Neurosci. 33, 14031–14039 (2013).
pubmed: 23986239
pmcid: 3810536
doi: 10.1523/JNEUROSCI.0570-13.2013
Bzdok, D. & Yeo, B. T. Inference in the age of big data: future perspectives on neuroscience. Neuroimage 155, 549–564 (2017).
pubmed: 28456584
doi: 10.1016/j.neuroimage.2017.04.061
de Wael, R. V. et al. BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Commun. Biol. 3, 1–10 (2020).
Rausch, A. et al. Connectivity-based parcellation of the amygdala predicts social skills in adolescents with autism spectrum disorder. J. Autism Dev. Disord. 48, 572–582 (2018).
pubmed: 29119520
doi: 10.1007/s10803-017-3370-3
Frith, C. D. & Frith, U. Interacting minds — a biological basis. Science 286, 1692–1695 (1999).
pubmed: 10576727
doi: 10.1126/science.286.5445.1692
Addis, D. R., Wong, A. T. & Schacter, D. L. Remembering the past and imagining the future: common and distinct neural substrates during event construction and elaboration. Neuropsychologia 45, 1363–1377 (2007).
pubmed: 17126370
doi: 10.1016/j.neuropsychologia.2006.10.016
Tulving, E. in Principles of Frontal Lobe Function (eds Stuss, D. T. & Knight, R. T.) Ch. 20 (Oxford Univ. Press, 2002).
Hassabis, D. & Maguire, E. A. Deconstructing episodic memory with construction. Trends Cognit. Sci. 11, 299–306 (2007).
doi: 10.1016/j.tics.2007.05.001
Ho, N. S. P. et al. Facing up to why the wandering mind: patterns of off-task laboratory thought are associated with stronger neural recruitment of right fusiform cortex while processing facial stimuli. NeuroImage 214, 116765 (2020).
pubmed: 32213314
doi: 10.1016/j.neuroimage.2020.116765
Smallwood, J. et al. The neural correlates of ongoing conscious thought. iScience 24, 102132 (2021).
pubmed: 33665553
pmcid: 7907463
doi: 10.1016/j.isci.2021.102132
Smallwood, J., Nind, L. & O’Connor, R. C. When is your head at? An exploration of the factors associated with the temporal focus of the wandering mind. Conscious. Cogn. 18, 118–125 (2009).
pubmed: 19121953
doi: 10.1016/j.concog.2008.11.004
Konu, D. et al. A role for ventromedial prefrontal cortex in self-generated episodic social cognition. NeuroImage 218, 116977 (2020).
pubmed: 32450251
doi: 10.1016/j.neuroimage.2020.116977
Spreng, R. N., Mar, R. A. & Kim, A. S. The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: a quantitative meta-analysis. J. Cogn. Neurosci. 21, 489–510 (2009).
pubmed: 18510452
doi: 10.1162/jocn.2008.21029
Spreng, R. N. & Grady, C. L. Patterns of brain activity supporting autobiographical memory, prospection, and theory of mind, and their relationship to the default mode network. J. Cogn. Neurosci. 22, 1112–1123 (2010).
pubmed: 19580387
doi: 10.1162/jocn.2009.21282
Laird, A. R. et al. Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling. J. Neurosci. 29, 14496–14505 (2009).
pubmed: 19923283
pmcid: 2820256
doi: 10.1523/JNEUROSCI.4004-09.2009
Chiong, W. et al. The salience network causally influences default mode network activity during moral reasoning. Brain 136, 1929–1941 (2013).
pubmed: 23576128
pmcid: 3673466
doi: 10.1093/brain/awt066
Reniers, R. L. et al. Moral decision-making, ToM, empathy and the default mode network. Biol. Psychol. 90, 202–210 (2012).
pubmed: 22459338
doi: 10.1016/j.biopsycho.2012.03.009
Bzdok, D. et al. Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy. Brain Struct. Funct. 217, 783–796 (2012).
pubmed: 22270812
pmcid: 3445793
doi: 10.1007/s00429-012-0380-y
Göttlich, M., Ye, Z., Rodriguez-Fornells, A., Münte, T. F. & Krämer, U. M. Viewing socio-affective stimuli increases connectivity within an extended default mode network. NeuroImage 148, 8–19 (2017).
pubmed: 28065848
doi: 10.1016/j.neuroimage.2016.12.044
Vessel, E. A., Starr, G. G. & Rubin, N. Art reaches within: aesthetic experience, the self and the default mode network. Front. Neurosci. 7, 258 (2013).
pubmed: 24415994
pmcid: 3874727
doi: 10.3389/fnins.2013.00258
Simony, E. et al. Dynamic reconfiguration of the default mode network during narrative comprehension. Nat. Commun. 7, 12141 (2016).
pubmed: 27424918
pmcid: 4960303
doi: 10.1038/ncomms12141
Smallwood, R. F. et al. Structural brain anomalies and chronic pain: a quantitative meta-analysis of gray matter volume. J. Pain 14, 663–675 (2013).
pubmed: 23685185
pmcid: 4827858
doi: 10.1016/j.jpain.2013.03.001
Zhang, M., Savill, N., Margulies, D. S., Smallwood, J. & Jefferies, E. Distinct individual differences in default mode network connectivity relate to off-task thought and text memory during reading. Sci. Rep. 9, 16220 (2019).
pubmed: 31700143
pmcid: 6838089
doi: 10.1038/s41598-019-52674-9
Epstein, R. A. Parahippocampal and retrosplenial contributions to human spatial navigation. Trends Cogn. Sci. 12, 388–396 (2008).
pubmed: 18760955
pmcid: 2858632
doi: 10.1016/j.tics.2008.07.004
Rogers, R. D. et al. Distinct portions of anterior cingulate cortex and medial prefrontal cortex are activated by reward processing in separable phases of decision-making cognition. Biol. Psychiatry 55, 594–602 (2004).
pubmed: 15013828
doi: 10.1016/j.biopsych.2003.11.012
Ritchey, M. & Cooper, R. A. Deconstructing the posterior medial episodic network. Trends Cogn. Sci. 24, 451–465 (2020).
pubmed: 32340798
doi: 10.1016/j.tics.2020.03.006
Ralph, M. A. L., Jefferies, E., Patterson, K. & Rogers, T. T. The neural and computational bases of semantic cognition. Nat. Rev. Neurosci. 18, 42 (2017).
pubmed: 27881854
doi: 10.1038/nrn.2016.150
Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R. & Vogeley, K. Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the “default system” of the brain. Conscious. Cogn. 17, 457–467 (2008).
pubmed: 18434197
doi: 10.1016/j.concog.2008.03.013
Amodio, D. M. & Frith, C. D. Meeting of minds: the medial frontal cortex and social cognition. Nat. Rev. Neurosci. 7, 268–277 (2006).
pubmed: 16552413
doi: 10.1038/nrn1884
Satpute, A. B. & Lindquist, K. A. The default mode network’s role in discrete emotion. Trends Cognit. Sci. 23, 851–864 (2019).
doi: 10.1016/j.tics.2019.07.003
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C. & Wager, T. D. Large-scale automated synthesis of human functional neuroimaging data. Nat. Methods 8, 665 (2011).
pubmed: 21706013
pmcid: 3146590
doi: 10.1038/nmeth.1635
Bzdok, D. et al. Subspecialization in the human posterior medial cortex. Neuroimage 106, 55–71 (2015).
pubmed: 25462801
doi: 10.1016/j.neuroimage.2014.11.009
Eickhoff, S. B., Laird, A. R., Fox, P. T., Bzdok, D. & Hensel, L. Functional segregation of the human dorsomedial prefrontal cortex. Cereb. Cortex 26, 304–321 (2016).
pubmed: 25331597
doi: 10.1093/cercor/bhu250
Murphy, C. et al. Distant from input: evidence of regions within the default mode network supporting perceptually-decoupled and conceptually-guided cognition. NeuroImage 171, 393–401 (2018).
pubmed: 29339310
doi: 10.1016/j.neuroimage.2018.01.017
Murphy, C. et al. Modes of operation: a topographic neural gradient supporting stimulus dependent and independent cognition. NeuroImage 186, 487–496 (2019).
pubmed: 30447291
doi: 10.1016/j.neuroimage.2018.11.009
Konishi, M., McLaren, D. G., Engen, H. & Smallwood, J. Shaped by the past: the default mode network supports cognition that is independent of immediate perceptual input. PLoS ONE 10, e0132209 (2015).
pubmed: 26125559
pmcid: 4488375
doi: 10.1371/journal.pone.0132209
Smallwood, J. et al. Escaping the here and now: evidence for a role of the default mode network in perceptually decoupled thought. Neuroimage 69, 120–125 (2013).
pubmed: 23261640
doi: 10.1016/j.neuroimage.2012.12.012
Turnbull, A. et al. Left dorsolateral prefrontal cortex supports context-dependent prioritisation of off-task thought. Nat. Commun. 10, 3816 (2019).
pubmed: 31444333
pmcid: 6707151
doi: 10.1038/s41467-019-11764-y
Sormaz, M. et al. Default mode network can support the level of detail in experience during active task states. Proc. Natl Acad. Sci. USA 115, 9318–9323 (2018).
pubmed: 30150393
pmcid: 6140531
doi: 10.1073/pnas.1721259115
Lanzoni, L. et al. The role of default mode network in semantic cue integration. Neuroimage 219, 117019 (2020).
pubmed: 32522664
doi: 10.1016/j.neuroimage.2020.117019
Vatansever, D., Menon, D. K. & Stamatakis, E. A. Default mode contributions to automated information processing. Proc. Natl Acad. Sci. USA 114, 12821–12826 (2017).
pubmed: 29078345
pmcid: 5715758
doi: 10.1073/pnas.1710521114
Van Den Heuvel, M. P. & Sporns, O. Rich-club organization of the human connectome. J. Neurosci. 31, 15775–15786 (2011).
pubmed: 22049421
pmcid: 6623027
doi: 10.1523/JNEUROSCI.3539-11.2011
Honey, C. J. et al. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl Acad. Sci. USA 106, 2035–2040 (2009).
pubmed: 19188601
pmcid: 2634800
doi: 10.1073/pnas.0811168106
Park, B.-y. et al. Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function. NeuroImage 224, 117429 (2021).
pubmed: 33038538
doi: 10.1016/j.neuroimage.2020.117429
Jones, E. & Powell, T. An anatomical study of converging sensory pathways within the cerebral cortex of the monkey. Brain 93, 793–820 (1970).
pubmed: 4992433
doi: 10.1093/brain/93.4.793
Fellman, D. & Van Essen, D. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1, 1–47 (1991).
doi: 10.1093/cercor/1.1.1
Xu, T. et al. Cross-species functional alignment reveals evolutionary hierarchy within the connectome. NeuroImage 223, 117346 (2020).
pubmed: 32916286
doi: 10.1016/j.neuroimage.2020.117346
Moscovitch, M., Cabeza, R., Winocur, G. & Nadel, L. Episodic memory and beyond: the hippocampus and neocortex in transformation. Annu. Rev. Psychol. 67, 105–134 (2016).
pubmed: 26726963
pmcid: 5060006
doi: 10.1146/annurev-psych-113011-143733
Alcalá-López, D. et al. Computing the social brain connectome across systems and states. Cereb. Cortex 28, 2207–2232 (2018).
pubmed: 28521007
doi: 10.1093/cercor/bhx121
Gendron, M. & Barrett, L. F. Emotion perception as conceptual synchrony. Emot. Rev. 10, 101–110 (2018).
doi: 10.1177/1754073917705717
Kernbach, J. M. et al. Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. Proc. Natl Acad. Sci. USA 115, 12295–12300 (2018).
pubmed: 30420501
pmcid: 6275484
doi: 10.1073/pnas.1804876115
Dohmatob, E., Dumas, G. & Bzdok, D. Dark control: the default mode network as a reinforcement learning agent. Hum. Brain Mapp. 41, 3318–3341 (2020).
pubmed: 32500968
pmcid: 7375062
doi: 10.1002/hbm.25019
Goodale, M. A. & Milner, A. D. Separate visual pathways for perception and action. Trends Neurosci. 15, 20–25 (1992).
pubmed: 1374953
doi: 10.1016/0166-2236(92)90344-8
Penfield, W. & Boldrey, E. Somatic motor and sensory representation in the cerebral cortex of man as studied by electrical stimulation. Brain 60, 389–443 (1937).
doi: 10.1093/brain/60.4.389
Fox, K. C. et al. Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain. Nat. Hum. Behav. 4, 1039–1052 (2020).
pubmed: 32632334
pmcid: 7572705
doi: 10.1038/s41562-020-0910-1
Gonzalez-Garcia, C., Flounders, M. W., Chang, R., Baria, A. T. & He, B. J. Content-specific activity in frontoparietal and default-mode networks during prior-guided visual perception. eLife 7, 36068 (2018).
doi: 10.7554/eLife.36068
Murphy, C. et al. Hello, is that me you are looking for? A re-examination of the role of the DMN in off-task thought. PLoS ONE 14, e0216182 (2019).
pubmed: 31697677
pmcid: 6837379
doi: 10.1371/journal.pone.0216182
Gorgolewski, K. J. et al. A correspondence between individual differences in the brain’s intrinsic functional architecture and the content and form of self-generated thoughts. PLoS ONE 9, e97176 (2014).
pubmed: 24824880
pmcid: 4019564
doi: 10.1371/journal.pone.0097176
Davey, J. et al. Automatic and controlled semantic retrieval: TMS reveals distinct contributions of posterior middle temporal gyrus and angular gyrus. J. Neurosci. 35, 15230–15239 (2015).
pubmed: 26586812
pmcid: 4649000
doi: 10.1523/JNEUROSCI.4705-14.2015
van der Linden, M., Berkers, R., Morris, R. G. M. & Fernandez, G. Angular gyrus involvement at encoding and retrieval is associated with durable but less specific memories. J. Neurosci. 37, 9474–9485 (2017).
pubmed: 28871031
pmcid: 6596768
doi: 10.1523/JNEUROSCI.3603-16.2017
Bonnici, H. M., Richter, F. R., Yazar, Y. & Simons, J. S. Multimodal feature integration in the angular gyrus during episodic and semantic retrieval. J. Neurosci. 36, 5462–5471 (2016).
pubmed: 27194327
pmcid: 4871983
doi: 10.1523/JNEUROSCI.4310-15.2016
Wen, T., Duncan, J. & Mitchell, D. J. Hierarchical representation of multi-step tasks in multiple-demand and default mode networks. J. Neurosci. 40, 7724–7738 (2020).
pubmed: 32868460
pmcid: 7531550
doi: 10.1523/JNEUROSCI.0594-20.2020
Wang, X., Gao, Z., Smallwood, J. & Jefferies, E. Both default and multiple-demand regions represent semantic goal information. J. Neurosci. 41, 3679–3691 (2021).
pubmed: 33664130
doi: 10.1523/JNEUROSCI.1782-20.2021
pmcid: 8055078
Smallwood, J. Distinguishing how from why the mind wanders: a process–occurrence framework for self-generated mental activity. Psychol. Bull. 139, 519 (2013).
pubmed: 23607430
doi: 10.1037/a0030010
Smallwood, J. & Schooler, J. W. The science of mind wandering: empirically navigating the stream of consciousness. Annu. Rev. Psychol. 66, 487–518 (2015).
pubmed: 25293689
doi: 10.1146/annurev-psych-010814-015331
Li, Q. et al. Atypical neural topographies underpin dysfunctional pattern separation in temporal lobe epilepsy. Brain https://doi.org/10.1093/brain/awab121 (2021).
doi: 10.1093/brain/awab121
pubmed: 34932802
pmcid: 9014752
Hilgetag, C. C. & Goulas, A. ‘Hierarchy’ in the organization of brain networks. Philos. Trans. R. Soc. B 375, 20190319 (2020).
doi: 10.1098/rstb.2019.0319
Moser, E. I., Kropff, E. & Moser, M.-B. Place cells, grid cells, and the brain’s spatial representation system. Annu. Rev. Neurosci. 31, 69–89 (2008).
pubmed: 18284371
doi: 10.1146/annurev.neuro.31.061307.090723
Boccara, C. N. et al. Grid cells in pre-and parasubiculum. Nat. Neurosci. 13, 987–994 (2010).
pubmed: 20657591
doi: 10.1038/nn.2602
Fyhn, M., Hafting, T., Treves, A., Moser, M. B. & Moser, E. I. Hippocampal remapping and grid realignment in entorhinal cortex. Nature 446, 190–194 (2007).
pubmed: 17322902
doi: 10.1038/nature05601
Behrens, T. E. J. et al. What is a cognitive map? Organizing knowledge for flexible behavior. Neuron 100, 490–509 (2018).
pubmed: 30359611
doi: 10.1016/j.neuron.2018.10.002
Fries, P. Rhythms for cognition: communication through coherence. Neuron 88, 220–235 (2015).
pubmed: 26447583
pmcid: 4605134
doi: 10.1016/j.neuron.2015.09.034
Welch, G. & Bishop, G. An Introduction to the Kalman Filter (Univ. of North Carolina, 1995).
Horner, A. J., Bisby, J. A., Bush, D., Lin, W.-J. & Burgess, N. Evidence for holistic episodic recollection via hippocampal pattern completion. Nat. Commun. 6, 1–11 (2015).
doi: 10.1038/ncomms8462
Huang, Y. & Rao, R. P. Predictive coding. Wiley Interdiscip. Rev. Cognit. Sci. 2, 580–593 (2011).
doi: 10.1002/wcs.142
Friston, K. & Kiebel, S. Predictive coding under the free-energy principle. Philos. Trans. R. Soc. B: Biol. Sci. 364, 1211–1221 (2009).
doi: 10.1098/rstb.2008.0300
Allen, M. & Friston, K. J. From cognitivism to autopoiesis: towards a computational framework for the embodied mind. Synthese 195, 2459–2482 (2018).
pubmed: 29887647
doi: 10.1007/s11229-016-1288-5
Chanes, L. & Barrett, L. F. Redefining the role of limbic areas in cortical processing. Trends Cognit. Sci. 20, 96–106 (2016).
doi: 10.1016/j.tics.2015.11.005
Benner, M. J. & Tushman, M. L. Exploitation, exploration, and process management: the productivity dilemma revisited. Acad. Manag. Rev. 28, 238–256 (2003).
doi: 10.2307/30040711
Pearson, J. M., Hayden, B. Y., Raghavachari, S. & Platt, M. L. Neurons in posterior cingulate cortex signal exploratory decisions in a dynamic multioption choice task. Curr. Biol. 19, 1532–1537 (2009).
pubmed: 19733074
pmcid: 3515083
doi: 10.1016/j.cub.2009.07.048
Bayer, H. M. & Glimcher, P. W. Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron 47, 129–141 (2005).
pubmed: 15996553
pmcid: 1564381
doi: 10.1016/j.neuron.2005.05.020
Rudebeck, P. H. & Murray, E. A. Dissociable effects of subtotal lesions within the macaque orbital prefrontal cortex on reward-guided behavior. J. Neurosci. 31, 10569–10578 (2011).
pubmed: 21775601
pmcid: 3171204
doi: 10.1523/JNEUROSCI.0091-11.2011
Seghier, M. L. The angular gyrus: multiple functions and multiple subdivisions. Neuroscientist 19, 43–61 (2013).
pubmed: 22547530
pmcid: 4107834
doi: 10.1177/1073858412440596
Braga, R. M., DiNicola, L. M., Becker, H. C. & Buckner, R. L. Situating the left-lateralized language network in the broader organization of multiple specialized large-scale distributed networks. J. Neurophysiol. 124, 1415–1448 (2020).
pubmed: 32965153
doi: 10.1152/jn.00753.2019
pmcid: 8356783
Alderson-Day, B. & Fernyhough, C. Inner speech: development, cognitive functions, phenomenology, and neurobiology. Psychol. Bull. 141, 931 (2015).
pubmed: 26011789
pmcid: 4538954
doi: 10.1037/bul0000021
Van Essen, D. C. et al. The WU-Minn Human Connectome Project: an overview. Neuroimage 80, 62–79 (2013).
pubmed: 23684880
doi: 10.1016/j.neuroimage.2013.05.041
Botvinick, M. M. Hierarchical models of behavior and prefrontal function. Trends Cognit. Sci. 12, 201–208 (2008).
doi: 10.1016/j.tics.2008.02.009
Smith, V., Mitchell, D. J. & Duncan, J. Role of the default mode network in cognitive transitions. Cereb. Cortex 28, 3685–3696 (2018).
pubmed: 30060098
pmcid: 6132281
doi: 10.1093/cercor/bhy167
Crittenden, B. M., Mitchell, D. J. & Duncan, J. Recruitment of the default mode network during a demanding act of executive control. eLife 4, e06481 (2015).
pubmed: 25866927
pmcid: 4427863
doi: 10.7554/eLife.06481
Krieger-Redwood, K. et al. Down but not out in posterior cingulate cortex: deactivation yet functional coupling with prefrontal cortex during demanding semantic cognition. Neuroimage 141, 366–377 (2016).
pubmed: 27485753
doi: 10.1016/j.neuroimage.2016.07.060
Vatansever, D., Menon, D. K., Manktelow, A. E., Sahakian, B. J. & Stamatakis, E. A. Default mode network connectivity during task execution. Neuroimage 122, 96–104 (2015).
pubmed: 26220743
doi: 10.1016/j.neuroimage.2015.07.053
Gerlach, K. D., Spreng, R. N., Gilmore, A. W. & Schacter, D. L. Solving future problems: default network and executive activity associated with goal-directed mental simulations. Neuroimage 55, 1816–1824 (2011).
pubmed: 21256228
doi: 10.1016/j.neuroimage.2011.01.030
Wang, X., Margulies, D. S., Smallwood, J. & Jefferies, E. A gradient from long-term memory to novel cognition: transitions through default mode and executive cortex. Neuroimage 220, 117074 (2020).
pubmed: 32574804
doi: 10.1016/j.neuroimage.2020.117074
Dixon, M. L. et al. Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks. Proc. Natl Acad. Sci. USA 115, E1598–E1607 (2018).
pubmed: 29382744
pmcid: 5816169
doi: 10.1073/pnas.1715766115
Davey, J. et al. Exploring the role of the posterior middle temporal gyrus in semantic cognition: integration of anterior temporal lobe with executive processes. Neuroimage 137, 165–177 (2016).
pubmed: 27236083
doi: 10.1016/j.neuroimage.2016.05.051
Hazy, T. E., Frank, M. J. & O’Reilly, R. C. Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system. Philos. Trans. R. Soc. B Biol. Sci. 362, 1601–1613 (2007).
doi: 10.1098/rstb.2007.2055
Olton, D. S., Becker, J. T. & Handelmann, G. E. Hippocampus, space, and memory. Behav. Brain Sci. 2, 313–322 (1979).
doi: 10.1017/S0140525X00062713
Huijbers, W., Pennartz, C. M., Cabeza, R. & Daselaar, S. M. The hippocampus is coupled with the default network during memory retrieval but not during memory encoding. PLoS ONE 6, e17463 (2011).
pubmed: 21494597
pmcid: 3073934
doi: 10.1371/journal.pone.0017463
Moser, E. I. et al. Grid cells and cortical representation. Nat. Rev. Neurosci. 15, 466–481 (2014).
pubmed: 24917300
doi: 10.1038/nrn3766
Constantinescu, A. O., O’Reilly, J. X. & Behrens, T. E. Organizing conceptual knowledge in humans with a gridlike code. Science 352, 1464–1468 (2016).
pubmed: 27313047
pmcid: 5248972
doi: 10.1126/science.aaf0941
Paquola, C. et al. Convergence of cortical types and functional motifs in the human mesiotemporal lobe. eLife 9, e60673 (2020).
pubmed: 33146610
pmcid: 7671688
doi: 10.7554/eLife.60673