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. |
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| 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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