War Trauma, Politics of Recognition and Purple Heart: PTSD or PTSI?

Autor: Irit Keynan, Jackob N. Keynan

Publikováno v: Social Sciences, Vol 5, Iss 4, p 57 (2016)

This paper discusses the exclusion of veterans with combat PTSD (CPTSD) from eligibility for the Purple Heart (PH). The main argument is that this exclusion is unjustified and that it strengthens the stigma attached to the traumatized veterans, with

Externí odkaz: https://doaj.org/article/9a587c4ba5cc4854bf195a573e82d7bf

Neuroanatomical Risk Factors for Posttraumatic Stress Disorder in Recent Trauma Survivors

Autor: Yoav Zeevi, Moran Artzi, Ziv Ben-Zion, Haggai Sharon, Dana Niry, Israel Liberzon, Jackob N. Keynan, Arieh Y. Shalev, Talma Hendler, Pinchas Halpern, Roee Admon

Publikováno v: Biol Psychiatry Cogn Neurosci Neuroimaging

BACKGROUND: Low hippocampal volume could serve as an early risk factor for Post-traumatic Stress Disorder (PTSD) in interaction with other brain anomalies of developmental origin. One such anomaly may well be a presence of large Cavum Septum Pellucid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2aacc520cb6f546729dcaa65ed386a
https://doi.org/10.1016/j.bpsc.2019.11.003

Amygdala electrical-finger-print (AmygEFP) NeuroFeedback guided by individually-tailored Trauma script for post-traumatic stress disorder: Proof-of-concept

Autor: Michael Krasnoshtein, Tom Fruchtman-Steinbok, Talma Hendler, Iman Jaljuli, Avihay Cohen, Efrat Routledge, Rebecca Playle, Shiri Mermelstein, David Edmund Johannes Linden, Jackob N. Keynan, Gadi Drori

Publikováno v: NeuroImage : Clinical
NeuroImage: Clinical, Vol 32, Iss, Pp 102859-(2021)

Highlights • Randomized clinical trial with a novel self-neuromodulation training in PTSD. • Demonstration of feasibility of an fMRI-informed EEG model of Amygdala modulation (AmygEFP). • Individually-tailored trauma-related content as the trai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::433b73ea232050a112e4413a482faa94
http://europepmc.org/articles/PMC8551212

Predictors of real-time fMRI neurofeedback performance and improvement: A machine learning mega-analysis

Autor: Andrew A. Nicholson, Jong-Hwan Lee, Jerzy Bodurka, Cindy Lor, Stavros Skouras, R. Alison Adcock, Ruth A. Lanius, Benjamin Becker, David Steyrl, Tabea Kamp, Nan-kuei Chen, Matthias Kirschner, Michael Marxen, Renate Schweizer, Kirsten Emmert, Amelie Haugg, Jeff MacInnes, Catharina Zich, Fabian M. Renz, Theo Marins, Kathryn C. Dickerson, Marina Papoutsi, Sook-Lei Liew, Tibor Auer, Gustavo S. P. Pamplona, R. Cameron Craddock, Dong Youl Kim, Yury Koush, Ralf Veit, Talma Hendler, Maartje S. Spetter, Marcus Herdener, Kathrin Cohen Kadosh, Shuxia Yao, Dimitri Van De Ville, Sebastian J. Götzendorfer, Bettina Sorger, Frank Scharnowski, Kymberly D. Young, Nikolaus Weiskopf, Manfred Hallschmid, Jackob N. Keynan, Amalia McDonald, Simon H. Kohl, Ronald Sladky, Sven Haller, Lydia Hellrung, Fukuda Megumi

Publikováno v: NeuroImage
Neuroimage, 237:118207. Elsevier Science
NeuroImage, Vol 237, Iss, Pp 118207-(2021)
Neuroimage 237:118207 (2021)
NeuroImage 237, 118207-(2021). doi:10.1016/j.neuroimage.2021.118207

Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants as well as to improvements of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78400d6f2b08796d6e691d317a0aab0
https://hdl.handle.net/21.11116/0000-0008-9C56-8

Determinants of Real-Time fMRI Neurofeedback Performance and Improvement – a Machine Learning Mega-Analysis

Autor: Lydia Hellrung, Michael Marxen, R. Cameron Craddock, R. Alison Adcock, Fukuda Megumi, Kirsten Emmert, Theo Marins, Amelie Haugg, Bettina Sorger, Fabian M. Renz, Andrew A. Nicholson, Jong-Hwan Lee, Manfred Hallschmid, Ronald Sladky, Gustavo S. P. Pamplona, Ralf Veit, Nan-kuei Chen, Kathrin Cohen Kadosh, Sven Haller, Kymberly D. Young, Nikolaus Weiskopf, Catharina Zich, Benjamin Becker, Tabea Kamp, Ruth A. Lanius, Jerzy Bodurka, Renate Schweizer, Tibor Auer, Simon H. Kohl, Matthias Kirschner, Talma Hendler, Sook-Lei Liew, Marcus Herdener, Marina Papoutsi, Cindy Lor, Shuxia Yao, Dong Youl Kim, Yury Koush, Kathryn C. Dickerson, Amalia McDonald, Jackob N. Keynan, David Steyrl, Jeff MacInnes, Sebastian J Goetzendorfer, Frank Scharnowski, Maartje S. Spetter, Stavros Skouras, Dimitri Van De Ville

Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants as well as to improvements of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa55c5923298f41c8c27caa5086b540e
https://doi.org/10.1101/2020.10.21.349118