Zobrazeno 1 - 5
of 5
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