Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Guy M. Goodwin is active.

Publication


Featured researches published by Guy M. Goodwin.


Journal of Psychopharmacology | 1997

Neuropsychological and neuroimaging evidence for the involvement of the frontal lobes in depression

Guy M. Goodwin

The onset and reversibility of major depression is likely to be explained by diffuse neuromodulatory mechanisms rather than permanent abnormalities of connectivity and neurotransmission. However, the expression of mood state appears to involve fronto-striatal mechanisms. Lesions of the ventral frontal cortex give rise to profound modification of affect and behaviour not explained by effects on current intellectual function. These may represent the most extreme possible disturbances of emotional experience. Neuropsychological testing in major depression shows evidence of slowing in motor and cognitive domains with additional prominent effects on mnemonic function most marked in the elderly. Structural imaging with X-ray computed tomography or magnetic resonance imaging in older patients with major depression shows evidence of structural abnormality compared with controls. These findings are not highly localizing but they tend to confirm the role of cognitive impairment as an important age-related risk factor for major depression. Perfusion or metabolic imaging reflects both reversible changes in function and permanent loss of active neurones. The usual finding has been reductions in anterior brain structures in major depression. Hypoperfusion tends to be greatest in frontal, temporal and parietal areas and most extensive in older (male) patients; high Hamilton scores tend to be associated with reduced uptake. There have also been correlations in the cingulate cortex between increased perfusion and other aspects of the mental state. In general, reductions in frontal areas may be more likely in patients with impoverished mental states. The more prominent impairments of memory are likely to be associated with the finding of impaired temporal function or with a more diffuse failure of neuromodulation.


Neuropsychopharmacology | 2017

The Therapeutic Potential of Psychedelic Drugs: Past, Present, and Future

Robin L. Carhart-Harris; Guy M. Goodwin

Plant-based psychedelics, such as psilocybin, have an ancient history of medicinal use. After the first English language report on LSD in 1950, psychedelics enjoyed a short-lived relationship with psychology and psychiatry. Used most notably as aids to psychotherapy for the treatment of mood disorders and alcohol dependence, drugs such as LSD showed initial therapeutic promise before prohibitive legislature in the mid-1960s effectively ended all major psychedelic research programs. Since the early 1990s, there has been a steady revival of human psychedelic research: last year saw reports on the first modern brain imaging study with LSD and three separate clinical trials of psilocybin for depressive symptoms. In this circumspective piece, RLC-H and GMG share their opinions on the promises and pitfalls of renewed psychedelic research, with a focus on the development of psilocybin as a treatment for depression.


The Lancet Psychiatry | 2017

The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis

Daniel Freeman; Bryony Sheaves; Guy M. Goodwin; Ly-Mee Yu; Alecia Nickless; Paul J. Harrison; Richard Emsley; Annemarie I. Luik; Russell G. Foster; Vanashree Wadekar; Chris Hinds; Andrew Gumley; Ray Jones; Stafford L. Lightman; Steve Jones; Richard P. Bentall; Peter Kinderman; Georgina Rowse; Traolach S. Brugha; Mark Blagrove; Alice M. Gregory; Leanne Fleming; Elaine Walklet; Cris Glazebrook; E. Bethan Davies; Chris Hollis; Gillian Haddock; Bev John; Mark Coulson; David Fowler

Summary Background Sleep difficulties might be a contributory causal factor in the occurrence of mental health problems. If this is true, improving sleep should benefit psychological health. We aimed to determine whether treating insomnia leads to a reduction in paranoia and hallucinations. Methods We did this single-blind, randomised controlled trial (OASIS) at 26 UK universities. University students with insomnia were randomly assigned (1:1) with simple randomisation to receive digital cognitive behavioural therapy (CBT) for insomnia or usual care, and the research team were masked to the treatment. Online assessments took place at weeks 0, 3, 10 (end of therapy), and 22. The primary outcome measures were for insomnia, paranoia, and hallucinatory experiences. We did intention-to-treat analyses. The trial is registered with the ISRCTN registry, number ISRCTN61272251. Findings Between March 5, 2015, and Feb 17, 2016, we randomly assigned 3755 participants to receive digital CBT for insomnia (n=1891) or usual practice (n=1864). Compared with usual practice, the sleep intervention at 10 weeks reduced insomnia (adjusted difference 4·78, 95% CI 4·29 to 5·26, Cohens d=1·11; p<0·0001), paranoia (−2·22, −2·98 to −1·45, Cohens d=0·19; p<0·0001), and hallucinations (−1·58, −1·98 to −1·18, Cohens d=0·24; p<0·0001). Insomnia was a mediator of change in paranoia and hallucinations. No adverse events were reported. Interpretation To our knowledge, this is the largest randomised controlled trial of a psychological intervention for a mental health problem. It provides strong evidence that insomnia is a causal factor in the occurrence of psychotic experiences and other mental health problems. Whether the results generalise beyond a student population requires testing. The treatment of disrupted sleep might require a higher priority in mental health provision. Funding Wellcome Trust.


IEEE Transactions on Biomedical Engineering | 2017

Detecting Bipolar Depression From Geographic Location Data

Niclas Palmius; Athanasios Tsanas; Kate E. A. Saunders; Amy Bilderbeck; John Geddes; Guy M. Goodwin; M. De Vos

<italic>Objective:</italic> This paper aims to identify periods of depression using geolocation movements recorded from mobile phones in a prospective community study of individuals with bipolar disorder (BD). <italic>M</italic>ethods: Anonymized geographic location recordings from 22 BD participants and 14 healthy controls (HC) were collected over 3 months. Participants reported their depressive symptomatology using a weekly questionnaire (QIDS-SR<sub>16</sub>). Recorded location data were preprocessed by detecting and removing imprecise data points and features were extracted to assess the level and regularity of geographic movements of the participant. A subset of features were selected using a wrapper feature selection method and presented to 1) a linear regression model and a quadratic generalized linear model with a logistic link function for questionnaire score estimation; and 2) a quadratic discriminant analysis classifier for depression detection in BD participants based on their questionnaire responses. <italic>R </italic>esults: HC participants did not report depressive symptoms and their features showed similar distributions to nondepressed BD participants. Questionnaire score estimation using geolocation-derived features from BD participants demonstrated an optimal mean absolute error rate of 3.73, while depression detection demonstrated an optimal (median <inline-formula><tex-math notation=LaTeX>


International Journal of Bipolar Disorders | 2016

Online information seeking by patients with bipolar disorder: results from an international multisite survey

Jörn Conell; Rita Bauer; Tasha Glenn; Martin Alda; Raffaella Ardau; Bernhard T. Baune; Michael Berk; Yuly Bersudsky; Amy Bilderbeck; Alberto Bocchetta; Letizia Bossini; Angela M. Paredes Castro; Eric Yat Wo Cheung; Caterina Chillotti; Sabine Choppin; Maria Del Zompo; Rodrigo Dias; Seetal Dodd; Anne Duffy; Bruno Etain; Andrea Fagiolini; Julie Garnham; John Geddes; Jonas Gildebro; Ana González-Pinto; Guy M. Goodwin; Paul Grof; Hirohiko Harima; Stefanie Hassel; Chantal Henry

pm


Molecular Psychiatry | 2017

Vortioxetine reduces BOLD signal during performance of the N-back working memory task: a randomised neuroimaging trial in remitted depressed patients and healthy controls

J Smith; Michael Browning; S Conen; R Smallman; J Buchbjerg; K G Larsen; C K Olsen; S R Christensen; Gerard R. Dawson; J.F.W. Deakin; P Hawkins; Richard Morris; Guy M. Goodwin; Catherine J. Harmer

</tex-math></inline-formula> IQR) <inline-formula> <tex-math notation=LaTeX>


British Journal of Psychiatry | 2017

Pharmacological treatment and risk of psychiatric hospital admission in bipolar disorder

Erik Joas; Alina Karanti; Jie Song; Guy M. Goodwin; Paul Lichtenstein; Mikael Landén

text{F}_{1}


European Psychiatry | 2017

Experiences of remote mood and activity monitoring in bipolar disorder: A qualitative study

Kate E. A. Saunders; Amy Bilderbeck; P. Panchal; Lauren Z Atkinson; John Geddes; Guy M. Goodwin

</tex-math></inline-formula> score of 0.857 <inline-formula> <tex-math notation=LaTeX>


Journal of Affective Disorders | 2016

Psychoeducation and online mood tracking for patients with bipolar disorder: A randomised controlled trial

Amy Bilderbeck; Lauren Z Atkinson; Hannah McMahon; Merryn Voysey; Judit Simon; Jonathan Price; Jennifer M Rendell; Chris Hinds; John Geddes; Emily A. Holmes; David J. Miklowitz; Guy M. Goodwin

pm


European Psychiatry | 2015

Distinguishing bipolar disorder from borderline personality disorder: A study of current clinical practice

Kate E. A. Saunders; Amy Bilderbeck; J. Price; Guy M. Goodwin

</tex-math></inline-formula> 0.022 using five features (classification accuracy: 0.849 <inline-formula><tex-math notation=LaTeX>

Collaboration


Dive into the Guy M. Goodwin's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

M Peters

University of Oxford

View shared research outputs
Researchain Logo
Decentralizing Knowledge