Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gongfei Li"'
Publikováno v:
Brain and Behavior, Vol 13, Iss 4, Pp n/a-n/a (2023)
Abstract Background This study aims to explore the relationship between psychiatric disorders and the risk of epilepsy using Mendelian randomization (MR) analysis. Methods We collected summary statistics of seven psychiatric traits from recent larges
Externí odkaz:
https://doaj.org/article/b02df30ecc2a47f897ec0e65324d79ef
Publikováno v:
Journal of Craniofacial Surgery; Oct2024, Vol. 35 Issue 7, p2036-2040, 5p
Publikováno v:
International Archives of Allergy and Immunology. 184:311-319
Introduction: Observational studies have reported that allergic rhinitis (AR) was associated with chronic lower respiratory diseases (CLRDs) and lung function; however, their causal effects remain elusive. Therefore, to investigate the causal effects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cbad6b56942e1dbc6dbf275c7f3cba5
https://doi.org/10.1159/000528350
https://doi.org/10.1159/000528350
Publikováno v:
CNS Neuroscience & Therapeutics
Aims To identify the metabolic pattern and prognostic predictors in anti‐gamma‐aminobutyric‐acid B (GABAB) receptor encephalitis using 18F‐fluorodeoxy‐glucose positron emission tomography (18F‐FDG‐PET). Methods Twenty‐one patients dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60b248bc2a30fdca61362e0be1bd35e7
https://doi.org/10.1111/cns.13767
https://doi.org/10.1111/cns.13767
Positron emission tomography in autoimmune encephalitis: Clinical implications and future directions
Publikováno v:
Acta neurologica ScandinavicaREFERENCES. 146(6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31fbdd0e219ff3de6dde3ec6947a36a9
https://pubmed.ncbi.nlm.nih.gov/36259555
https://pubmed.ncbi.nlm.nih.gov/36259555
Publikováno v:
Acta neurologica ScandinavicaREFERENCES. 146(2)
To establish a model in order to predict the functional outcomes of patients with anti-leucine-rich glioma-inactivated 1 (LGI1) encephalitis and identify significant predictive factors using a random forest algorithm.Seventy-nine patients with confir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2ce6c76f6cc72d4c7b16274d786a516
https://pubmed.ncbi.nlm.nih.gov/35373330
https://pubmed.ncbi.nlm.nih.gov/35373330