Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jukka‑Pekka Kauppi"'
Autor:
Urho M Kujala, Sami Äyrämö, Laura Joensuu, Ilkka Rautiainen, Heidi J Syväoja, Jukka-Pekka Kauppi, Tuija H Tammelin
Publikováno v:
BMJ Open Sport & Exercise Medicine, Vol 7, Iss 2 (2021)
Objectives To assess the ability to predict individual unfavourable future status and development in the 20m shuttle run test (20MSRT) during adolescence with machine learning (random forest (RF) classifier).Methods Data from a 2-year observational s
Externí odkaz:
https://doaj.org/article/c1df9a7b8fe24eddb3ddb2a466732179
Autor:
Aija Kotila, Jussi Tohka, Jukka-Pekka Kauppi, Ilaria Gabbatore, Leena Mäkinen, Tuula M. Hurtig, Hanna E. Ebeling, Vesa Korhonen, Vesa J. Kiviniemi, Soile Loukusa
Publikováno v:
International Journal of Circumpolar Health, Vol 80, Iss 1 (2021)
This video-based study examines the pragmatic non-verbal comprehension skills and corresponding neural-level findings in young Finnish autistic adults, and controls. Items from the Assessment Battery of Communication (ABaCo) were chosen to evaluate t
Externí odkaz:
https://doaj.org/article/00ab9aad1cfe4b90a0d257945fc1ebff
Autor:
Miiamaaria V. Kujala, Jukka‑Pekka Kauppi, Heini Törnqvist, Liisa Helle, Outi Vainio, Jan Kujala, Lauri Parkkonen
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-2 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/b73dfca40816430eb95e16768fe20eef
Autor:
Shisei Tei, Junya Fujino, Ryosaku Kawada, Kathryn F. Jankowski, Jukka-Pekka Kauppi, Wouter van den Bos, Nobuhito Abe, Genichi Sugihara, Jun Miyata, Toshiya Murai, Hidehiko Takahashi
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
Abstract Behavioural flexibility is essential for everyday life. This involves shifting attention between different perspectives. Previous studies suggest that flexibility is mainly subserved by the dorsolateral prefrontal cortex (DLPFC). However, al
Externí odkaz:
https://doaj.org/article/6096e7a4e408446f8844ea6758fc400f
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0127231 (2015)
Classifying multivariate electromyography (EMG) data is an important problem in prosthesis control as well as in neurophysiological studies and diagnosis. With modern high-density EMG sensor technology, it is possible to capture the rich spectrospati
Externí odkaz:
https://doaj.org/article/9d80a192b2f44d9d87a6769c0f9eecdc
Publikováno v:
PLoS ONE, Vol 7, Iss 8, p e41196 (2012)
Within functional magnetic resonance imaging (fMRI), the use of the traditional general linear model (GLM) based analysis methods is often restricted to strictly controlled research setups requiring a parametric activation model. Instead, Inter-Subje
Externí odkaz:
https://doaj.org/article/888458b4faf24b5dabdc8876276551df
Publikováno v:
Frontiers in Neuroinformatics, Vol 4 (2010)
Cinema is a promising naturalistic stimulus that enables, for instance, elicitation of robust emotions during functional magnetic resonance imaging (fMRI). Inter-subject correlation (ISC) has been used as a model-free analysis method to map the highl
Externí odkaz:
https://doaj.org/article/e87ba16665054f7ca1e69d08c65d3a0f
Brain and behavioral alterations in subjects with social anxiety dominated by empathic embarrassment
Autor:
Junya Fujino, Riitta Hari, Jukka-Pekka Kauppi, Kathryn F. Jankowski, Ricardo Pio Monti, Jussi Tohka, Nobuhito Abe, Toshiya Murai, Shisei Tei, Hidehiko Takahashi
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance People are increasingly affected by social anxiety that includes emotional hypersensitivity and inaccurate interpretation of social encounters, and varies markedly in its subjective manifestations. We searched for insights into the under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf02ef6ad9d160a1476ce050921971c7
https://doi.org/10.1073/pnas.1918081117
https://doi.org/10.1073/pnas.1918081117
Publikováno v:
Scandinavian Journal of Medicine & Science in Sports. 30:732-740
Previous studies have suggested that runners can be subgrouped based on homogeneous gait patterns, however, no previous study has assessed the presence of such subgroups in a population of individuals across a wide variety of injuries. Therefore, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72db8c19d827235698e80dde48dd5455
https://doi.org/10.1111/sms.13624
https://doi.org/10.1111/sms.13624
Autor:
Susanne Jauhiainen, Jukka-Pekka Kauppi, Tron Krosshaug, Roald Bahr, Julia Bartsch, Sami Äyrämö
Background: Injury risk prediction is an emerging field in which more research is needed to recognize the best practices for accurate injury risk assessment. Important issues related to predictive machine learning need to be considered, for example,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::835fcac677a6dd6e340f7ad38603723a
http://urn.fi/URN:NBN:fi:jyu-202208244317
http://urn.fi/URN:NBN:fi:jyu-202208244317
