How do psychedelics work?
Carhart-Harris, R. L. | Current opinion in psychiatry | 1 January 2019
Common neural signatures of psychedelics: Frequency-specific energy changes and repertoire expansion revealed using connectome-harmonic decomposition.
Atasoy, S., Vohryzek, J., Deco, G., Carhart-Harris, R. L., & Kringelbach, M. L. | Progress in brain research | 25 October 2018
More Realistic Forecasting of Future Life Events After Psilocybin for Treatment-Resistant Depression
Lyons, T., & Carhart-Harris, R. L. | Frontiers in psychology | 12 October 2018
Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD
Deco, G., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R. L., Whybrow, P. C., & Kringelbach, M. L. | Current biology | 27 September 2018
Serotonin, psychedelics and psychiatry
Carhart‐Harris, R. L. | World Psychiatry | 7 September 2018
DMT Models the Near-Death Experience
Timmermann, C., Roseman, L., Williams, L., Erritzoe, D., Martial, C., Cassol, H., ... & Carhart-Harris, R. | Frontiers in psychology | 15 August 2018
Effects of psilocybin therapy on personality structure
Erritzoe, D., Roseman, L., Nour, M. M., MacLean, K., Kaelen, M., Nutt, D. J., & Carhart‐Harris, R. L. | Acta Psychiatrica Scandinavica | 19 June 2018
Psilocybin and MDMA reduce costly punishment in the Ultimatum Game
Gabay, A. S., Carhart-Harris, R. L., Mazibuko, N., Kempton, M. J., Morrison, P. D., Nutt, D. J., & Mehta, M. A. | Scientific reports | 29 May 2018
Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression
Carrillo, F., Sigman, M., Slezak, D. F., Ashton, P., Fitzgerald, L., Stroud, J., ... & Carhart-Harris, R. L. | Journal of affective disorders | 30 March 2018
The entropic brain – Revisited
Carhart-Harris, R. L. | Neuropharmacology | 13 March 2018