Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain's control energy landscape.

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Title: Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain's control energy landscape.
Authors: Singleton SP; Department of Computational Biology, Cornell University, Ithaca, NY, USA. sps253@cornell.edu., Luppi AI; Division of Anesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK.; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK., Carhart-Harris RL; Center for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK.; Psychedelics Division, Neuroscape, University of California San Francisco, San Francisco, CA, USA., Cruzat J; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile.; Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona, Spain., Roseman L; Center for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK., Nutt DJ; Center for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK., Deco G; Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona, Spain.; Institució Catalana de la Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona, Spain.; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.; School of Psychological Sciences, Monash University, Melbourne, Clayton, VIC, Australia., Kringelbach ML; Department of Psychiatry, University of Oxford, Oxford, UK.; Center of Music in the Brain (MIB), Clinical Medicine, Aarhus University, Aarhus, Denmark.; Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK., Stamatakis EA; Division of Anesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK., Kuceyeski A; Department of Computational Biology, Cornell University, Ithaca, NY, USA.; Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Source: Nature communications [Nat Commun] 2022 Oct 03; Vol. 13 (1), pp. 5812. Date of Electronic Publication: 2022 Oct 03.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain's control energy landscape.
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  Data: <searchLink fieldCode="AU" term="%22Singleton+SP%22">Singleton SP</searchLink>; Department of Computational Biology, Cornell University, Ithaca, NY, USA. sps253@cornell.edu.<br /><searchLink fieldCode="AU" term="%22Luppi+AI%22">Luppi AI</searchLink>; Division of Anesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK.; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Carhart-Harris+RL%22">Carhart-Harris RL</searchLink>; Center for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK.; Psychedelics Division, Neuroscape, University of California San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Cruzat+J%22">Cruzat J</searchLink>; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile.; Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Roseman+L%22">Roseman L</searchLink>; Center for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Nutt+DJ%22">Nutt DJ</searchLink>; Center for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Deco+G%22">Deco G</searchLink>; Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona, Spain.; Institució Catalana de la Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona, Spain.; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.; School of Psychological Sciences, Monash University, Melbourne, Clayton, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Kringelbach+ML%22">Kringelbach ML</searchLink>; Department of Psychiatry, University of Oxford, Oxford, UK.; Center of Music in the Brain (MIB), Clinical Medicine, Aarhus University, Aarhus, Denmark.; Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Stamatakis+EA%22">Stamatakis EA</searchLink>; Division of Anesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Kuceyeski+A%22">Kuceyeski A</searchLink>; Department of Computational Biology, Cornell University, Ithaca, NY, USA.; Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
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  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2022 Oct 03; Vol. 13 (1), pp. 5812. <i>Date of Electronic Publication: </i>2022 Oct 03.
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