Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chi Tak Lee"'
Autor:
Celine Ann Fox, Chi Tak Lee, Anna Kathleen Hanlon, Tricia XF Seow, Kevin Lynch, Siobhán Harty, Derek Richards, Jorge Palacios, Veronica O'Keane, Klaas Enno Stephan, Claire M Gillan
Publikováno v:
eLife, Vol 12 (2023)
Prior studies have found metacognitive biases are linked to a transdiagnostic dimension of anxious-depression, manifesting as reduced confidence in performance. However, previous work has been cross-sectional and so it is unclear if under-confidence
Externí odkaz:
https://doaj.org/article/bc1e941667f8405ab05ec1d458871c36
Autor:
Chi Tak Lee, Jorge Palacios, Derek Richards, Anna K. Hanlon, Kevin Lynch, Siobhan Harty, Nathalie Claus, Lorraine Swords, Veronica O’Keane, Klaas E Stephan, Claire M Gillan
Publikováno v:
BMC Psychiatry, Vol 23, Iss 1, Pp 1-19 (2023)
Abstract Background Evidence-based treatments for depression exist but not all patients benefit from them. Efforts to develop predictive models that can assist clinicians in allocating treatments are ongoing, but there are major issues with acquiring
Externí odkaz:
https://doaj.org/article/1303c348921c48da9a1f98c4b953d8ea
Autor:
Kelley, Sean W., Fisher, Aaron J., Chi Tak Lee, Gallagher, Eoghan, Hanlon, Anna K., Robertson, Ian H., Gillan, Claire M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 11/7/2023, Vol. 120 Issue 45, p1-22, 30p
Autor:
Celine A Fox, Chi Tak Lee, Anna Hanlon, Tricia Xing Fang Seow, Kevin Lynch, Siobhan Harty, Derek Richards, Jorge Palacios, Veronica O'Keane, Klaas Enno Stephan, Claire Gillan
Objective: Prior studies have found metacognitive impairments are linked to a transdiagnostic dimension of anxious-depression, manifesting as reduced confidence in performance (‘metacognitive bias’). However, previous work has been cross-sectiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df078ec651f071c9ff930be2733cd35
https://doi.org/10.31234/osf.io/uk7hr
https://doi.org/10.31234/osf.io/uk7hr
Tightly connected symptom networks have previously been linked to treatment resistance, but most findings come from small sample studies comparing single responder vs. non-responder cross-sectional networks. We aimed to estimate the association betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f26caa6654d43acf2ebc6f80f67e980
https://doi.org/10.31234/osf.io/agfc8
https://doi.org/10.31234/osf.io/agfc8
Autor:
Sharon Chi Tak Lee, Jorge Palacios, Derek Richards, Anna K. Hanlon, Kevin Lynch, Siobhan Harty, Nathalie Claus, Lorraine Swords, Veronica O'Keane, Klaas Enno Stephan, Claire M. Gillan
Publikováno v:
Biological Psychiatry. 93:S54-S55
Publikováno v:
International Journal of Human-Computer Studies. 175:103027
Autor:
Sean Kelley, Aaron Jason Fisher, Chi Tak Lee, Eoghan Gallagher, Anna K Hanlon, Ian Robertson, Claire Gillan
Elevated emotion network connectivity is thought to leave people vulnerable to become and stay depressed. The mechanism through which this arises is however unclear. Here, we test the idea that the connectivity of emotion networks causes people to su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d7f9150f2678b22b3849d022803f35e
https://doi.org/10.31234/osf.io/agt5m
https://doi.org/10.31234/osf.io/agt5m
Autor:
Steph Suddell, Lili Zhang, Chi Tak Lee, Jorge Palacios, Veronica O'Keane, Klaas E. Stephan, Anna K. Hanlon, Kevin Lynch, Siobhan Harty, Derek Richards, Claire M. Gillan
Publikováno v:
Biological Psychiatry. 93:S129
Autor:
Chi Tak Lee, Jorge Palacios, Derek Richards, Anna K Hanlon, Kevin Lynch, Siobhan Harty, Nathalie Claus, Lorraine Swords, Veronica O'Keane, Klaas Enno Stephan, Claire M Gillan
Background: Evidence-based treatments for depression exist but not all patients benefit from them. Efforts to develop predictive models that can assist clinicians in allocating treatments are ongoing, but there are major issues with acquiring the vol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42042f2270f916d81de8c88998cf3ea
https://doi.org/10.31234/osf.io/4j6z8
https://doi.org/10.31234/osf.io/4j6z8