Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Vesa J Kiviniemi"'
Autor:
Mikko Paavo Tulppo, Heidi eJurvelin, Eka eRoivainen, Juuso eNissilä, Arto J Hautala, Antti M Kiviniemi, Vesa J Kiviniemi, Timo eTakala
Publikováno v:
Frontiers in Physiology, Vol 5 (2014)
Purpose: A recent study suggests that transcranial brain targeted light treatment via ear canals may have physiological effects on brain function studied by functional magnetic resonance imaging (fMRI) techniques in humans. We tested the hypothesis t
Externí odkaz:
https://doaj.org/article/e064aca8020046ff9c802c21d0c8dee5
Autor:
Tuomo eStarck, Juha eNikkinen, Jukka eRahko, Jukka eRemes, Tuula eHurtig, Helena eHaapsamo, Katja eJussila, Sanna eKuusikko-Gauffin, Marja-Leena eMattila, Eira eJansson-Verkasalo, David L. Pauls, Hanna eEbeling, Irma eMoilanen, Osmo eTervonen, Vesa J Kiviniemi
Publikováno v:
Frontiers in Human Neuroscience, Vol 7 (2013)
In resting state fMRI studies of autism spectrum disorders (ASDs) decreased frontal-posterior functional connectivity is a persistent finding. However, the picture of the default mode network hypoconnectivity remains incomplete. In addition, the func
Externí odkaz:
https://doaj.org/article/ec852a05521f4dbd8344eee183b21d1c
Autor:
Riikka eRytty, Juha eNikkinen, Liisa ePaavola, Ahmed eAbou Elseoud, Virpi eMoilanen, Annina eVisuri, Osmo eTervonen, Alan eRenton, Bryan eTraynor, Vesa J Kiviniemi, Anne Marja Remes
Publikováno v:
Frontiers in Human Neuroscience, Vol 7 (2013)
Functional MRI studies have revealed changes in default-mode and salience networks in neurodegenerative dementias, especially in Alzheimer’s disease. The purpose of this study was to analyze the whole brain cortex resting state networks in patients
Externí odkaz:
https://doaj.org/article/b56be05eee4f43cdaf70974badab8471
Autor:
Ahmed eAbou Elseoud, Harri eLittow, Jukka eRemes, Tuomo eStarck, Juha eNikkinen, Juuso eNissilä, Osmo eTervonen, Markku eTimonen, Vesa J Kiviniemi
Publikováno v:
Frontiers in Systems Neuroscience, Vol 5 (2011)
Resting-state networks (RSNs) can be reliably and reproducibly detected using independent component analysis (ICA) at both individual subject and group levels. Altering ICA dimensionality (model order) estimation can have a significant impact on the
Externí odkaz:
https://doaj.org/article/10b1793aac3a46e086ce5d4bc757f7a2
Age-related differences in functional nodes of the brain cortex - a high model order group ICA study
Autor:
Harri Littow, Ahmed Abou Elseoud, Marianne Haapea, Matti Isohanni, Irma Moilanen, Katariina Mankinen, Juha Nikkinen, Jukka Rahko, Heikki Rantala, Jukka Remes, Tuomo Starck, Osmo Tervonen, Juha Veijola, Christian F Beckmann, Vesa J Kiviniemi
Publikováno v:
Frontiers in Systems Neuroscience, Vol 4 (2010)
Functional MRI measured with blood oxygen dependent (BOLD) contrast in the absence of intermittent tasks reflects spontaneous activity of so called resting state networks (RSN) of the brain. Group level independent component analysis (ICA) of BOLD da
Externí odkaz:
https://doaj.org/article/53c4a6f63be5454f8ce375be5e2346ea
Publikováno v:
Frontiers in Systems Neuroscience, Vol 4 (2010)
In this study, we applied coherence to voxel-wise measurement of regional homogeneity of resting-state functional magnetic resonance imaging (RS-fMRI) signal. We compared the current method, regional homogeneity based on coherence (Cohe-ReHo), with p
Externí odkaz:
https://doaj.org/article/d8a7f3c04ace4ef7899851ec925a1fae
Autor:
Vesa J Kiviniemi, Jukka Remes, Tuomo Starck, Juha Nikkinen, Marianne Haapea, Olli Silven, Osmo Tervonen
Publikováno v:
Frontiers in Neuroinformatics, Vol 3 (2009)
Temporal blood oxygen level dependent (BOLD) contrast signals in functional MRI during rest may be characterized by power spectral distribution (PSD) trends of the form 1/f α. Trends with 1/f characteristics comprise fractal properties with repeatin
Externí odkaz:
https://doaj.org/article/97c804c8143643e484abe60f5094d940
Autor:
Jyri‐Johan Paakki, Jukka S. Rahko, Aija Kotila, Marja‐Leena Mattila, Helena Miettunen, Tuula M. Hurtig, Katja K. Jussila, Sanna Kuusikko‐Gauffin, Irma K. Moilanen, Osmo Tervonen, Vesa J. Kiviniemi
Publikováno v:
Brain and Behavior, Vol 11, Iss 6, Pp n/a-n/a (2021)
Abstract Introduction There has been a growing effort to characterize the time‐varying functional connectivity of resting state (RS) fMRI brain networks (RSNs). Although voxel‐wise connectivity studies have examined different sliding window lengt
Externí odkaz:
https://doaj.org/article/27cef2be9b064a469ede033d1785519a
Autor:
null Jyri‐Johan Paakki, null Jukka S. Rahko, null Aija Kotila, null Marja‐Leena Mattila, null Helena Miettunen, null Tuula M. Hurtig, null Katja K. Jussila, null Sanna Kuusikko‐Gauffin, null Irma K. Moilanen, null Osmo Tervonen, null Vesa J. Kiviniemi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34631e2efa127aa5e5b0c7b53748de11
https://doi.org/10.1002/brb3.2174/v3/response1
https://doi.org/10.1002/brb3.2174/v3/response1
Autor:
Aija Kotila, Aapo Hyvärinen, Leena Mäkinen, Eeva Leinonen, Tuula Hurtig, Hanna Ebeling, Vesa Korhonen, Vesa J. Kiviniemi, Soile Loukusa
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Abstract Social and pragmatic difficulties in autism spectrum disorder (ASD) are widely recognized, although their underlying neural level processing is not well understood. The aim of this study was to examine the activity of the brain network compo
Externí odkaz:
https://doaj.org/article/0bc03b56335548b6b5dc4458b31367d3