Cognitive disorders in patients with chronic kidney disease: specificities of clinical assessment

Autor: Michelangela Barbieri, Aleksandra Klimkowicz-Mrowiec, Goce Spasovski, Liliana Garneata, Sophie Liabeuf, Carmen Antonia Mocanu, Carmine Zoccali, Sol Carriazo, Olivier Godefroy, Konstantinos Giannakou, Mustafa Arici, Andrzej Wiecek, Evgueniy Vazelov, Tomasz Grodzicki, Marion Pépin, Ziad A. Massy, Giuseppe Paolisso, Pilar Delgado, Davide Viggiano, Maie Bachman, Justina Kurganaite, Ana Carina Ferreira, Inga Arune Bumblyte

Publikováno v: Nephrology Dialysis Transplantation
Nephrology Dialysis Transplantation, 2022, 37 (2), pp.23-32. ⟨10.1093/ndt/gfab262⟩
Nephrology Dialysis Transplantation, 37, II23-II32. Oxford University Press
Pépin, Marion; Ferreira, Ana Carina; Arici, Mustafa; Bachman, Maie; Barbieri, Michelangela; Bumblyte, Inga Arune; Carriazo, Sol; Delgado, Pilar; Garneata, Liliana; Giannakou, Konstantinos; Godefroy, Olivier; Grodzicki, Tomasz; Klimkowicz-Mrowiec, Aleksandra; Kurganaite, Justina; Liabeuf, Sophie; Mocanu, Carmen Antonia; Paolisso, Giuseppe; Spasovski, Goce; Vazelov, Evgueniy Stefanov; Viggiano, Davide; ... (2021). Cognitive disorders in patients with chronic kidney disease: specificities of clinical assessment. Nephrology, dialysis, transplantation, 37(Supplement_2), ii23-ii32. Oxford University Press 10.1093/ndt/gfab262

Neurocognitive disorders are frequent among chronic kidney disease (CKD) patients. Identifying and characterizing cognitive impairment (CI) can help to assess the ability of adherence to CKD risk reduction strategy, identify potentially reversible ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07c35b3ead9c3249ef354a9623cad8a1
https://hal-u-picardie.archives-ouvertes.fr/hal-03578427

Correlation between electroencephalographic markers in the healthy brain

Autor: Laura Päeske, Tuuli Uudeberg, Hiie Hinrikus, Jaanus Lass, Maie Bachmann

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)

Abstract Mental disorders have an increasing tendency and represent the main burden of disease to society today. A wide variety of electroencephalographic (EEG) markers have been successfully used to assess different symptoms of mental disorders. Dif

Externí odkaz: https://doaj.org/article/b9861725702c41eda5645d97d5f7f21a

Negative Correlation Between Functional Connectivity and Small-Worldness in the Alpha Frequency Band of a Healthy Brain

Autor: Laura Päeske, Hiie Hinrikus, Jaanus Lass, Jaan Raik, Maie Bachmann

Publikováno v: Frontiers in Physiology, Vol 11 (2020)

The aim of the study was to analyze the relationship between resting state electroencephalographic (EEG) alpha functional connectivity (FC) and small-world organization. For that purpose, Pearson correlation was calculated between FC and small-worldn

Externí odkaz: https://doaj.org/article/3e8bd12609074627bca5c0c9be93e4a8

Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity

Autor: Laura Päeske, Maie Bachmann, Toomas Põld, Sara Pereira Mendes de Oliveira, Jaanus Lass, Jaan Raik, Hiie Hinrikus

Publikováno v: Frontiers in Physiology, Vol 9 (2018)

The aim of the study is to clarify the impact of the strong cyclic signal component on the results of surrogate data method in the case of resting electroencephalographic (EEG) signals. In addition, the impact of segment length is analyzed. Different

Externí odkaz: https://doaj.org/article/4ab6edb56cdd43d19c15e2afcc0972da