Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD

[1]  Robin L Carhart-Harris,et al.  Psychedelics and the essential importance of context , 2018, Journal of psychopharmacology.

[2]  B. T. Thomas Yeo,et al.  Topographic organization of the cerebral cortex and brain cartography , 2017, NeuroImage.

[3]  D. E. Nichols,et al.  Chemistry and Structure-Activity Relationships of Psychedelics. , 2018, Current topics in behavioral neurosciences.

[4]  Morten L. Kringelbach,et al.  Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms , 2017, NeuroImage.

[5]  RL Carhart-Harris,et al.  Serotonin and brain function: a tale of two receptors , 2017, Journal of psychopharmacology.

[6]  Michael Breakspear,et al.  The modulation of neural gain facilitates a transition between functional segregation and integration in the brain , 2017, bioRxiv.

[7]  Gustavo Deco,et al.  Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD , 2017, bioRxiv.

[8]  Gustavo Deco,et al.  Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics , 2017, bioRxiv.

[9]  D. Nutt,et al.  Effects of LSD on music-evoked brain activity , 2017, bioRxiv.

[10]  Morten L. Kringelbach,et al.  Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data , 2017, NeuroImage.

[11]  M. Breakspear.  Dynamic models of large-scale brain activity , 2017, Nature Neuroscience.

[12]  F. Vollenweider,et al.  The Fabric of Meaning and Subjective Effects in LSD-Induced States Depend on Serotonin 2A Receptor Activation , 2017, Current Biology.

[13]  D. Greve,et al.  A high-resolution in vivo atlas of the human brain's serotonin system. , 2016, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[14]  Gustavo Deco,et al.  The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core , 2016, bioRxiv.

[15]  M. Barresi,et al.  Serotonin modifies the spontaneous spiking activity of gracile nucleus neurons in rats: role of 5-HT1A and 5-HT2 receptors. , 2016, Archives italiennes de biologie.

[16]  Claus Svarer,et al.  Serotonin 2A receptor agonist binding in the human brain with [11C]Cimbi-36: Test–retest reproducibility and head-to-head comparison with the antagonist [18F]altanserin , 2016, NeuroImage.

[17]  Kevin Murphy,et al.  Neural correlates of the LSD experience revealed by multimodal neuroimaging , 2016, Proceedings of the National Academy of Sciences.

[18]  David E. Nichols,et al.  Psychedelics , 2016, Pharmacological Reviews.

[19]  M. Kringelbach,et al.  Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective , 2016, Trends in Neurosciences.

[20]  D. Nutt,et al.  The paradoxical psychological effects of lysergic acid diethylamide (LSD) , 2016, Psychological Medicine.

[21]  N. Pivac,et al.  The serotonergic system and cognitive function , 2016, Translational neuroscience.

[22]  Hartwig R. Siebner,et al.  The Center for Integrated Molecular Brain Imaging (Cimbi) database , 2016, NeuroImage.

[23]  Karl J. Friston,et al.  Charting the landscape of priority problems in psychiatry, part 2: pathogenesis and aetiology. , 2016, The lancet. Psychiatry.

[24]  Claus Svarer,et al.  A High-Resolution In Vivo Atlas of the Human Brain's Serotonin System , 2017, The Journal of Neuroscience.

[25]  Karl J. Friston,et al.  Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis. , 2016, The lancet. Psychiatry.

[26]  Timothy O. Laumann,et al.  Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. , 2016, Cerebral cortex.

[27]  Gustavo Deco,et al.  The dynamics of resting fluctuations in the brain , 2015, BMC Neuroscience.

[28]  M. Kringelbach,et al.  The Rediscovery of Slowness: Exploring the Timing of Cognition , 2015, Trends in Cognitive Sciences.

[29]  D. Nutt,et al.  LSD enhances the emotional response to music , 2015, Psychopharmacology.

[30]  G. Tononi,et al.  Rethinking segregation and integration: contributions of whole-brain modelling , 2015, Nature Reviews Neuroscience.

[31]  K. Berridge,et al.  Pleasure Systems in the Brain , 2015, Neuron.

[32]  Morten L. Kringelbach,et al.  Reconceptualizing anhedonia: novel perspectives on balancing the pleasure networks in the human brain , 2015, Front. Behav. Neurosci..

[33]  A. Halberstadt.  Recent advances in the neuropsychopharmacology of serotonergic hallucinogens , 2015, Behavioural Brain Research.

[34]  Gustavo Deco,et al.  Functional connectivity dynamics: Modeling the switching behavior of the resting state , 2015, NeuroImage.

[35]  M. Kringelbach,et al.  Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders , 2014, Neuron.

[36]  Xiao-Jing Wang,et al.  Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition , 2014, Journal of Computational Neuroscience.

[37]  M. Corbetta,et al.  How Local Excitation–Inhibition Ratio Impacts the Whole Brain Dynamics , 2014, The Journal of Neuroscience.

[38]  C. Svarer,et al.  Serotonin 2A Receptor Agonist Binding in the Human Brain with [11C]Cimbi-36 , 2014, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[39]  Hamid Reza Mohseni,et al.  Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations , 2014, NeuroImage.

[40]  Habib Benali,et al.  Relating Structure and Function in the Human Brain: Relative Contributions of Anatomy, Stationary Dynamics, and Non-stationarities , 2014, PLoS Comput. Biol..

[41]  Eswar Damaraju,et al.  Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.

[42]  Morten L. Kringelbach,et al.  Exploring the network dynamics underlying brain activity during rest , 2014, Progress in Neurobiology.

[43]  T. Insel,et al.  Toward the future of psychiatric diagnosis: the seven pillars of RDoC , 2013, BMC Medicine.

[44]  T. Insel,et al.  Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? , 2012, Molecular Psychiatry.

[45]  E. Marder.  Neuromodulation of Neuronal Circuits: Back to the Future , 2012, Neuron.

[46]  Bruce Fischl,et al.  FreeSurfer , 2012, NeuroImage.

[47]  Mikko Sams,et al.  Functional Magnetic Resonance Imaging Phase Synchronization as a Measure of Dynamic Functional Connectivity , 2012, Brain Connect..

[48]  Cori Bargmann.  Beyond the connectome: How neuromodulators shape neural circuits , 2012, BioEssays : news and reviews in molecular, cellular and developmental biology.

[49]  H. Möller,et al.  Efficacy of antidepressants: a re-analysis and re-interpretation of the Kirsch data. , 2011, The international journal of neuropsychopharmacology.

[50]  H. Mayberg,et al.  Stuck in a rut: rethinking depression and its treatment , 2011, Trends in Neurosciences.

[51]  Bruce Fischl,et al.  Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.

[52]  M. Sibomana,et al.  Spatial resolution of the HRRT PET scanner using 3D-OSEM PSF reconstruction , 2009, 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC).

[53]  O. Sporns,et al.  Key role of coupling, delay, and noise in resting brain fluctuations , 2009, Proceedings of the National Academy of Sciences.

[54]  Bruce Fischl,et al.  Combined Volumetric and Surface Registration , 2009, IEEE Transactions on Medical Imaging.

[55]  Keith A. Johnson,et al.  Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.

[56]  C. Comtat,et al.  Image based resolution modeling for the HRRT OSEM reconstructions software , 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

[57]  Viktor K. Jirsa,et al.  Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire , 2008, PLoS Comput. Biol..

[58]  Charles A. Marsden,et al.  A role for the 5-HT1A, 5-HT4 and 5-HT6 receptors in learning and memory , 2008 .

[59]  V. Starcevic,et al.  Symptom Subtypes of Obsessive–Compulsive Disorder: Are they Relevant for Treatment? , 2008, The Australian and New Zealand journal of psychiatry.

[60]  O. Sporns,et al.  Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.

[61]  Andrew J. Reader,et al.  Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph , 2008, Journal of Nuclear Medicine.

[62]  R. Kötter,et al.  Cortical network dynamics with time delays reveals functional connectivity in the resting brain , 2008, Cognitive Neurodynamics.

[63]  C. Tamminga,et al.  Schizophrenia: moving beyond monoamine antagonists. , 2008, Molecular interventions.

[64]  Blair T. Johnson,et al.  Initial Severity and Antidepressant Benefits: A Meta-Analysis of Data Submitted to the Food and Drug Administration , 2008, PLoS medicine.

[65]  Karl J. Friston,et al.  Comparing hemodynamic models with DCM , 2007, NeuroImage.

[66]  Olaf Sporns,et al.  Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.

[67]  Mark R. Trusheim,et al.  Stratified medicine: strategic and economic implications of combining drugs and clinical biomarkers , 2007, Nature Reviews Drug Discovery.

[68]  Mark W. Woolrich,et al.  Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.

[69]  A. Serretti,et al.  Serotonin transporter gene variants and behavior: a comprehensive review. , 2006, Current drug targets.

[70]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[71]  Anders M. Dale,et al.  Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.

[72]  Xiao-Jing Wang,et al.  A Recurrent Network Mechanism of Time Integration in Perceptual Decisions , 2006, The Journal of Neuroscience.

[73]  E. Bullmore,et al.  A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs , 2006, The Journal of Neuroscience.

[74]  J. Smythies.  Section V. Serotonin system. , 2005, International review of neurobiology.

[75]  Frances S. Chance,et al.  Drivers and modulators from push-pull and balanced synaptic input. , 2005, Progress in brain research.

[76]  Stephen M. Smith,et al.  Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.

[77]  Xiao-Jing Wang,et al.  Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition , 2004, Journal of Computational Neuroscience.

[78]  G. Volsi,et al.  Neuronal responses to 5-hydroxytryptamine in the red nucleus of rats , 2004, Experimental Brain Research.

[79]  J. Fuster,et al.  Unit activity in monkey parietal cortex related to haptic perception and temporary memory , 2004, Experimental Brain Research.

[80]  Timothy Edward John Behrens,et al.  Characterization and propagation of uncertainty in diffusion‐weighted MR imaging , 2003, Magnetic resonance in medicine.

[81]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[82]  Frances S. Chance,et al.  Gain Modulation from Background Synaptic Input , 2002, Neuron.

[83]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[84]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[85]  W. Newsome,et al.  The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.

[86]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[87]  D. Collins,et al.  Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space , 1994, Journal of computer assisted tomography.

[88]  G. Volsi,et al.  Excitatory and inhibitory effects of 5-hydroxytryptamine on the firing rate of medial vestibular nucleus neurons in the rat , 1993, Neuroscience Letters.

[89]  G. Volsi,et al.  Serotonin-evoked modifications of the neuronal firing rate in the superior vestibular nucleus: A microiontophoretic study in the rat , 1993, Neuroscience.

[90]  William R. Softky,et al.  The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[91]  S. Amara,et al.  Neurotransmitter transporters: recent progress. , 1993, Annual review of neuroscience.

[92]  J. Mazziotta,et al.  Rapid Automated Algorithm for Aligning and Reslicing PET Images , 1992, Journal of computer assisted tomography.

[93]  B. Jacobs,et al.  Structure and function of the brain serotonin system. , 1992, Physiological reviews.

[94]  M. Wilson,et al.  The organization of serotonergic projections to cerebral cortex in primates: Retrograde transport studies , 1991, Neuroscience.

[95]  A. Schmied,et al.  Changes in motor performance and rubral single unit activity in cats after microinjections of serotonin into the red nucleus area , 1991, Brain Research.

[96]  E. Azmitia,et al.  The primate serotonergic system: a review of human and animal studies and a report on Macaca fascicularis. , 1986, Advances in neurology.

[97]  A. C. Webb,et al.  The spontaneous activity of neurones in the cat’s cerebral cortex , 1976, Proceedings of the Royal Society of London. Series B. Biological Sciences.