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Fig 3 -:
Veera Itälinna
;
Hanna Kaltiainen
;
Nina Forss
..
doi:10.1371/journal.pcbi.1011613.g003. , 2023
Link:
https://doi.org/10.1371/journal.pcbi.1011613.g003
RT Journal T1
Fig 3 -
UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_24538522&Exemplar=1&LAN=DE A1 Veera Itälinna A1 Hanna Kaltiainen A1 Nina Forss A1 Mia Liljeström A1 Lauri Parkkonen YR 2023 K1 Medicine K1 Cell Biology K1 Genetics K1 Neuroscience K1 Biotechnology K1 Cancer K1 Space Science K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 quantitative deviation maps K1 power spectra across K1 healthy control subjects K1 demonstrated several population K1 4 &# 8211 K1 using normative modeling K1 full normative data K1 trained model revealed K1 normative modeling approach K1 state meg measurements K1 meg data combined K1 theta frequency band K1 current approach could K1 many brain disorders K1 individual mtbi patients K1 25 mtbi patients K1 brain disorders K1 normative dataset K1 learning approach K1 trained support K1 could serve K1 meg studies K1 meg signals K1 identify patients K1 distinguish patients K1 discriminate patients K1 deriving meg K1 frequency ranges K1 frequency activity K1 brain injury K1 detect mtbi K1 would benefit K1 wide range K1 urgently needed K1 thus providing K1 significant indicator K1 results demonstrate K1 objective markers K1 multivariate machine K1 matched subsets JF doi:10.1371/journal.pcbi.1011613.g003 LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1011613.g003 DO https://doi.org/10.1371/journal.pcbi.1011613.g003 SF ELIB - SuUB Bremen
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