Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Leonard Sasse"'
Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes
Autor:
Amir Omidvarnia, Leonard Sasse, Daouia I. Larabi, Federico Raimondo, Felix Hoffstaedter, Jan Kasper, Jürgen Dukart, Marvin Petersen, Bastian Cheng, Götz Thomalla, Simon B. Eickhoff, Kaustubh R. Patil
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract In this study, we aimed to compare imaging-based features of brain function, measured by resting-state fMRI (rsfMRI), with individual characteristics such as age, gender, and total intracranial volume to predict behavioral measures. We devel
Externí odkaz:
https://doaj.org/article/154e2f2d427b4f69acc47644ef3361e8
Publikováno v:
GigaByte (2024)
The fast-paced development of machine learning (ML) and its increasing adoption in research challenge researchers without extensive training in ML. In neuroscience, ML can help understand brain-behavior relationships, diagnose diseases and develop bi
Externí odkaz:
https://doaj.org/article/b0d29035badd4174b3e608e7005ee74f
Autor:
Leonard Sasse, Daouia I. Larabi, Amir Omidvarnia, Kyesam Jung, Felix Hoffstaedter, Gerhard Jocham, Simon B. Eickhoff, Kaustubh R. Patil
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract Functional connectivity (FC) refers to the statistical dependencies between activity of distinct brain areas. To study temporal fluctuations in FC within the duration of a functional magnetic resonance imaging (fMRI) scanning session, resear
Externí odkaz:
https://doaj.org/article/93285d8c71ac4e9aa3df4ab49724a20a
Autor:
Amir Omidvarnia, Leonard Sasse, Daouia I. Larabi, Federico Raimondo, Felix Hoffstaedter, Jan Kasper, Juergen Dukart, Marvin Petersen, Bastian Cheng, Götz Thomalla, Simon B. Eickhoff, Kaustubh R. Patil
Publikováno v:
General Assembly of the Joint Lab Supercomputing and Modeling for the Human Brain (SMHB), Jülich, Germany, 2023-04-04-2023-04-05
Changes in spontaneous brain activity at rest provide rich information about behavior and cognition. The mathematical properties of resting-state functional magnetic resonance imaging (rsfMRI) are a depiction of brain function and are frequently used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f100b118e4b1e4db27d1983cc1a5b4f
https://juser.fz-juelich.de/record/1006699
https://juser.fz-juelich.de/record/1006699
Autor:
Leonard Sasse, Daouia I. Larabi, Amir Omidvarnia, Kyesam Jung, Felix Hoffstaedter, Gerhard Jocham, Simon B. Eickhoff, Kaustubh R. Patil
Publikováno v:
INM & IBI Retreat 2022 "Molecular neuroscience meets brain function", Jülich, Germany, 2022-10-18-2022-10-19
bioRxiv (2022). doi:10.1101/2022.09.30.510304
bioRxiv (2022). doi:10.1101/2022.09.30.510304
Functional connectivity (FC) refers to the statistical dependencies between activity of distinct brain areas. To study temporal fluctuations in FC within the duration of a functional magnetic resonance imaging (fMRI) scanning session, researchers hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::039b1882498e97d5e12d41d417d62afc
https://juser.fz-juelich.de/record/910416
https://juser.fz-juelich.de/record/910416
Autor:
Omidvarnia, Amir1,2 (AUTHOR) a.omidvarnia@fz-juelich.de, Sasse, Leonard1,2,3 (AUTHOR), Larabi, Daouia I.4 (AUTHOR), Raimondo, Federico1,2 (AUTHOR), Hoffstaedter, Felix1,2 (AUTHOR), Kasper, Jan1,2 (AUTHOR), Dukart, Jürgen1,2 (AUTHOR), Petersen, Marvin5 (AUTHOR), Cheng, Bastian5 (AUTHOR), Thomalla, Götz5 (AUTHOR), Eickhoff, Simon B.1,2 (AUTHOR), Patil, Kaustubh R.1,2 (AUTHOR)
Publikováno v:
Communications Biology. 6/26/2024, Vol. 7 Issue 1, p1-12. 12p.
Autor:
Sasse, Leonard1,2,3 (AUTHOR), Larabi, Daouia I.1,2 (AUTHOR), Omidvarnia, Amir1,2 (AUTHOR), Jung, Kyesam1,2 (AUTHOR), Hoffstaedter, Felix1,2 (AUTHOR), Jocham, Gerhard4 (AUTHOR), Eickhoff, Simon B.1,2 (AUTHOR), Patil, Kaustubh R.1,2 (AUTHOR) k.patil@fz-juelich.de
Publikováno v:
Communications Biology. 7/10/2023, Vol. 6 Issue 1, p1-14. 14p.
The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which was held in Stockholm, Sweden, during April 24-26, 2024. The 40 full and 3 short papers included in