Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Ayşegül Güven"'
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2141 (2023)
Recent achievements have made emotion studies a rising field contributing to many areas, such as health technologies, brain–computer interfaces, psychology, etc. Emotional states can be evaluated in valence, arousal, and dominance (VAD) domains. Mo
Externí odkaz:
https://doaj.org/article/b62909e3bad541fc824523db4f0f1466
Autor:
Nazan Dolu, Miray Altınkaynak, Ayşegül Güven, Sevgi Özmen, Esra Demirci, Meltem İzzetoğlu, Ferhat Pektaş
Publikováno v:
Psychiatry and Clinical Psychopharmacology, Vol 29, Iss 3, Pp 285-292 (2019)
OBJECTIVE In this study we investigated the stimulant methylphenidate (MPH) effects in Attention deficit hyperactivity disorder (ADHD) from neuroimaging and neurophysiological perspective by simultaneous recording functional near infrared spectroscop
Externí odkaz:
https://doaj.org/article/3a335e3afeab47229b90f5818e7f744c
Publikováno v:
Diagnostics; Volume 13; Issue 13; Pages: 2141
Recent achievements have made emotion studies a rising field contributing to many areas, such as health technologies, brain–computer interfaces, psychology, etc. Emotional states can be evaluated in valence, arousal, and dominance (VAD) domains. Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::d9d782fbe7e497314ff625fc30d1404b
Autor:
Aysegul Guvenek, Neelroop Parikshak, Daria Zamolodchikov, Sahar Gelfman, Arden Moscati, Lee Dobbyn, Eli Stahl, Alan Shuldiner, Giovanni Coppola
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Microglia are the resident immune cells of the central nervous system and are involved in brain development, homeostasis, and disease. New imaging and genomics technologies are revealing microglial complexity across developmental and functio
Externí odkaz:
https://doaj.org/article/db54ef0641f24ba999c630d873047935
Autor:
Ayşegül Güven
Publikováno v:
Ağrı - The Journal of The Turkish Society of Algology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e505c024871abf3cfe908002b1dd8a69
https://doi.org/10.14744/agri.2022.02779
https://doi.org/10.14744/agri.2022.02779
Publikováno v:
Medical & Biological Engineering & Computing. 57:2069-2079
Divided attention is defined as focusing on different tasks at once, and this is described as one of the biggest problems of today's society. Default examinations for understanding attention are questionnaires or physiological signals, like evoked po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e74463cf8660b67f03f4dea72e9acf8f
https://doi.org/10.1007/s11517-019-02013-x
https://doi.org/10.1007/s11517-019-02013-x
Autor:
Esra Demirci, Meltem Izzetoglu, Nazan Dolu, Miray Altinkaynak, Sevgi Özmen, Ayşegül Güven, Ferhat Pektaş
Publikováno v:
Psychiatry and Clinical Psychopharmacology, Vol 29, Iss 3, Pp 285-292 (2019)
Pektas, Ferhat/0000-0002-1862-9515; Dolu, Nazan/0000-0002-3104-7587 WOS:000481832500007 OBJECTIVE In this study we investigated the stimulant methylphenidate (MPH) effects in Attention deficit hyperactivity disorder (ADHD) from neuroimaging and neuro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e84f749ffe7fedc40be97df29d0939
https://doaj.org/article/3a335e3afeab47229b90f5818e7f744c
https://doaj.org/article/3a335e3afeab47229b90f5818e7f744c
Autor:
Nazan Dolu, Miray Altinkaynak, Ayşegül Güven, Meltem Izzetoglu, Esra Demirci, Sevgi Özmen, Ferhat Pektaş
The aim of this study was to build a machine learning model to discriminate Attention Deficit Hyperactivity Disorder (ADHD) patients and healthy controls using information from both time and frequency analysis of Event Related Potentials (ERP) obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d3493b7f9d7c6fde1fd2541fdfd5388
https://hdl.handle.net/20.500.12513/4715
https://hdl.handle.net/20.500.12513/4715
Autor:
Nazan Dolu, Meltem Izzetoglu, Esra Demirci, Turgay Batbat, Miray Altinkaynak, Sevgi Özmen, Ayşegül Güven, Ferhat Pektaş
2-s2.0-85068834729 Recently multimodal neuroimaging which combines signals from different brain modalities has started to be considered as a potential to improve the accuracy of diagnosis. The current study aimed to explore a new method for discrimin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bad63851098f58ddb708c15894987a7
https://hdl.handle.net/20.500.12939/1122
https://hdl.handle.net/20.500.12939/1122