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      Human brain effects of DMT assessed via EEG-fMRI

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          Significance

          This placebo-controlled multimodal [functional MRI-electroencephalography (fMRI-EEG)] human neuroimaging study offers the most comprehensive view of the acute brain action of psychedelics to date. It assessed N,N-Dimethyltryptamine (DMT), a psychedelic that generates immersive altered conscious experience with no diminishment of wakefulness. Global hyperconnectivity, collapsed hierarchical organization and reduced intranetwork integrity, was observed (fMRI) that correlated with decreased alpha power and increased entropy (EEG). Regions with the densest expression of serotonin 2A receptors as determined via independent positron emission tomography (PET) data, were most affected by DMT, and overlapped with regions related to evolved cognitive functions such as language and semantic processing. These results support the notion that psychedelics impact a principal axis of brain organization, and relatedly, the quality of human conscious experience.

          Abstract

          Psychedelics have attracted medical interest, but their effects on human brain function are incompletely understood. In a comprehensive, within-subjects, placebo-controlled design, we acquired multimodal neuroimaging [i.e., EEG-fMRI (electroencephalography-functional MRI)] data to assess the effects of intravenous (IV) N,N-Dimethyltryptamine (DMT) on brain function in 20 healthy volunteers. Simultaneous EEG-fMRI was acquired prior to, during, and after a bolus IV administration of 20 mg DMT, and, separately, placebo. At dosages consistent with the present study, DMT, a serotonin 2A receptor (5-HT2AR) agonist, induces a deeply immersive and radically altered state of consciousness. DMT is thus a useful research tool for probing the neural correlates of conscious experience. Here, fMRI results revealed robust increases in global functional connectivity (GFC), network disintegration and desegregation, and a compression of the principal cortical gradient under DMT. GFC × subjective intensity maps correlated with independent positron emission tomography (PET)-derived 5-HT2AR maps, and both overlapped with meta-analytical data implying human-specific psychological functions. Changes in major EEG-measured neurophysiological properties correlated with specific changes in various fMRI metrics, enriching our understanding of the neural basis of DMT’s effects. The present findings advance on previous work by confirming a predominant action of DMT—and likely other 5-HT2AR agonist psychedelics—on the brain’s transmodal association pole, i.e., the neurodevelopmentally and evolutionarily recent cortex that is associated with species-specific psychological advancements, and high expression of 5-HT2A receptors.

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          Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

          An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
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            The organization of the human cerebral cortex estimated by intrinsic functional connectivity.

            Information processing in the cerebral cortex involves interactions among distributed areas. Anatomical connectivity suggests that certain areas form local hierarchical relations such as within the visual system. Other connectivity patterns, particularly among association areas, suggest the presence of large-scale circuits without clear hierarchical relations. In this study the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI. Data from 1,000 subjects were registered using surface-based alignment. A clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex. The results revealed local networks confined to sensory and motor cortices as well as distributed networks of association regions. Within the sensory and motor cortices, functional connectivity followed topographic representations across adjacent areas. In association cortex, the connectivity patterns often showed abrupt transitions between network boundaries. Focused analyses were performed to better understand properties of network connectivity. A canonical sensory-motor pathway involving primary visual area, putative middle temporal area complex (MT+), lateral intraparietal area, and frontal eye field was analyzed to explore how interactions might arise within and between networks. Results showed that adjacent regions of the MT+ complex demonstrate differential connectivity consistent with a hierarchical pathway that spans networks. The functional connectivity of parietal and prefrontal association cortices was next explored. Distinct connectivity profiles of neighboring regions suggest they participate in distributed networks that, while showing evidence for interactions, are embedded within largely parallel, interdigitated circuits. We conclude by discussing the organization of these large-scale cerebral networks in relation to monkey anatomy and their potential evolutionary expansion in humans to support cognition.
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              Advances in functional and structural MR image analysis and implementation as FSL.

              The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL).
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                20 March 2023
                28 March 2023
                20 March 2023
                : 120
                : 13
                : e2218949120
                Affiliations
                [1] aDivision of Psychiatry, Department of Brain Sciences, Centre for Psychedelic Research, Imperial College London , W12 0NN London, UK
                [2] bDepartment of Informatics, University of Sussex, Brighton BN1 9RH, United Kingdom
                [3] cCentre for Complexity Science, Imperial College London , London SW7 2AZ, United Kingdom
                [4] dCenter for Eudaimonia and Human Flourishing, University of Oxford, Oxford OX3 9BX, United Kingdom;
                [5] eDepartamento de Física, Latin American Brain Health Institute, Universidad Adolfo Ibanez , 3485 Santiago, Chile
                [6] fUniversidad de Buenos Aires and Instituto de Física de Buenos Aires , 1428 Buenos Aires, Argentina
                [7] gDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University , Montreal, QC H3A 2B4, Canada
                [8] hCNRS Université de Toulouse , 31300 Toulouse, France
                [9] iDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College , London WC2R 2LS, UK
                [10] jPsychedelics Division - Neuroscape, Department of Neurology, University of California , San Francisco, CA 94143
                Author notes
                1To whom correspondence may be addressed. Email: c.timmermann-slater15@ 123456imperial.ac.uk .

                Edited by Marcus Raichle, Washington University in St Louis School of Medicine, St. Louis, MO; received November 12, 2022; accepted December 14, 2022

                Author information
                https://orcid.org/0000-0002-2281-377X
                https://orcid.org/0000-0001-7790-6183
                https://orcid.org/0000-0002-4194-7669
                https://orcid.org/0000-0002-7022-6211
                https://orcid.org/0000-0001-9826-2161
                https://orcid.org/0000-0002-5801-6318
                https://orcid.org/0000-0002-1286-1401
                Article
                202218949
                10.1073/pnas.2218949120
                10068756
                36940333
                2630a1ca-7ba6-486b-9b8b-aa0db3894997
                Copyright © 2023 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 12 November 2022
                : 14 December 2022
                Page count
                Pages: 12, Words: 9629
                Funding
                Funded by: ANID | Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT), FundRef 501100002850;
                Award ID: NA
                Award Recipient : Christopher Timmermann
                Funded by: Funding funders for the Centre for Psychedelic Research;
                Award ID: NA
                Award Recipient : Robin Carhart-Harris
                Categories
                research-article, Research Article
                neuro, Neuroscience
                424
                Biological Sciences
                Neuroscience

                psychedelics,serotonin,consciousness,dimethyltryptamine,ayahuasca

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