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Pioneering research

In the last decade, a number of research groups in Europe and the Americas have conducted studies into the safety and effectiveness of psychedelics for conditions such as depression and post-traumatic stress disorder (PTSD), but the Imperial Centre for Psychedelic Research is the first to gain this level of stature within a major academic institution.

When delivered safely and professionally, psychedelic therapy holds a great deal of promise for treating some very serious mental health conditions.

Dr Robin Carhart-Harris

Head of the Centre for Psychedelic Research

Ours was the first Centre in the world to investigate the brain effects of LSD using modern brain imaging and the first to study psilocybin – the active compound in magic mushrooms – for treating severe depression. These studies have laid the groundwork for larger trials that are now taking place around the world. Other pioneering work from the group includes breakthrough neuroimaging research with psilocybin, MDMA and DMT (the psychoactive compounds found in ecstasy and ayahuasca respectively).

Earlier this year the group began a new trial directly comparing psilocybin therapy with a conventional antidepressant drug in patients with depression – a study for which they are still recruiting volunteers. Building on this, they also plan to begin another new trial next year to explore the safety and feasibility of psilocybin for treating patients with anorexia.

Dr Carhart-Harris adds: “It may take a few years for psychedelic therapy to be available for patients, but research so far has been very encouraging. Early stage clinical research has shown that when delivered safely and professionally, psychedelic therapy holds a great deal of promise for treating some very serious mental health conditions and may one day offer new hope to vulnerable people with limited treatment options.”


If you are a student interested in conducting research with our Centre, please see the page join our research team.

Research publications

Citation

BibTex format

@article{Kettlun:2021:10.1186/s13638-021-02026-x,
author = {Kettlun, F and Rosas, F and Oberli, C},
doi = {10.1186/s13638-021-02026-x},
journal = {Eurasip Journal on Wireless Communications and Networking},
pages = {1--22},
title = {A low-complexity channel training method for efficient SVD beamforming over MIMO channels},
url = {http://dx.doi.org/10.1186/s13638-021-02026-x},
volume = {2021},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Singular value decomposition (SVD) beamforming is an attractive tool for reducing the energy consumption of data transmissions in wireless sensor networks whose nodes are equipped with multiple antennas. However, this method is often not practical due to two important shortcomings: it requires channel state information at the transmitter and the computation of the SVD of the channel matrix is generally too complex. To deal with these issues, we propose a method for establishing an SVD beamforming link without requiring feedback of actual channel or SVD coefficients to the transmitter. Concretely, our method takes advantage of channel reciprocity and a power iteration algorithm (PIA) for determining the precoding and decoding singular vectors from received preamble sequences. A low-complexity version that performs no iterations is proposed and shown to have a signal-to-noise-ratio (SNR) loss within 1 dB of the bit error rate of SVD beamforming with least squares channel estimates. The low-complexity method significantly outperforms maximum ratio combining diversity and Alamouti coding. We also show that the computational cost of the proposed PIA-based method is less than the one of using the Golub–Reinsch algorithm for obtaining the SVD. The number of computations of the low-complexity version is an order of magnitude smaller than with Golub–Reinsch. This difference grows further with antenna array size.
AU - Kettlun,F
AU - Rosas,F
AU - Oberli,C
DO - 10.1186/s13638-021-02026-x
EP - 22
PY - 2021///
SN - 1687-1472
SP - 1
TI - A low-complexity channel training method for efficient SVD beamforming over MIMO channels
T2 - Eurasip Journal on Wireless Communications and Networking
UR - http://dx.doi.org/10.1186/s13638-021-02026-x
UR - https://link.springer.com/article/10.1186/s13638-021-02026-x
UR - http://hdl.handle.net/10044/1/91180
VL - 2021
ER -