Results 31 to 40 of about 24,679,585 (287)

Elastic Registration of Single Subject Task Based fMRI Signals [PDF]

, 2018
Single subject task-based fMRI analyses generally suffer from low detection sensitivity with parameter estimates from the general linear model (GLM) lying below the significance threshold especially for similar contrasts or conditions. In this paper, we present a shape-based approach for alignment of condition-specific time course activity for single ...
David S. Lee, Joana R. Loureiro, Katherine L. Narr, Roger P. Woods, Shantanu H. Joshi   +4 more
openaire   +3 more sources

Voxel selection in fMRI data analysis based on sparse representation [PDF]

, 2009
Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an iterative sparse-representation-based algorithm for detection of voxels in functional MRI (fMRI)
Namburi, Praneeth, Guan, Cuntai, Li, Yuanqiang, Feng, Jianfeng, Yu, Zhuliang, Gu, Zhenghui   +5 more
core   +1 more source

Independent component analysis of interictal fMRI in focal epilepsy: comparison with general linear model-based EEG-correlated fMRI [PDF]

, 2007
The general linear model (GLM) has been used to analyze simultaneous EEG–fMRI to reveal BOLD changes linked to interictal epileptic discharges (IED) identified on scalp EEG. This approach is ineffective when IED are not evident in the EEG.
Lemieux, L., de Martino, F.; id_orcid, De Martino, F., Formisano, E., Duncan, J.S., Laufs, H., Rodionov, R., Carmichael, D.W., Walker, M., Formisano, E.; id_orcid   +9 more
core   +1 more source

fMRI activation detection with EEG priors [PDF]

, 2013
The purpose of brain mapping techniques is to advance the understanding of the relationship between structure and function in the human brain in so-called activation studies.
Sämann, Philipp, Czisch, Michael, Kalus, Stefanie, Fahrmeir, Ludwig   +3 more
core   +1 more source

Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools [PDF]

, 2011
Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic ...
van den Bosch, Jasper J F, Wolf Singer, van den Bosch, J.J.F., Kohler, A., Kaiser, J., Kaiser, Jochen, Ven, Vincent van de, Marcus J. Naumer, Bosch, Jasper J. F. van den, van de Ven, Vincent, Lars Muckli, Muckli, L., Kohler, Axel, Singer, Wolf, Axel Kohler, Jochen Kaiser, Naumer, M.J., van den Bosch, J., Muckli, Lars, Wibral, M., Wibral, Michael, Michael Wibral, Jasper J. F. van den Bosch, Naumer, Marcus Johannes, Vincent van de Ven, Naumer, Marcus J, van de Ven, V., Singer, W., Muckli, L, van, de Ven V, Naumer, MJ, Wibral, M, van den Bosch, Jasper JF; id_orcid, Kohler, A   +33 more
core   +2 more sources

Reliability of subsequent memory effects in children and adults: The good, the bad, and the hopeful

Developmental Cognitive Neuroscience, 2021
Functional MRI (fMRI) is a key tool for investigating neural underpinnings of cognitive development. Yet, in recent years, the reliability of fMRI effects has come into question and with it, the feasibility of using task-based fMRI to identify ...
Lingfei Tang, Qijing Yu, Roya Homayouni, Kelsey L. Canada, Qin Yin, Jessica S. Damoiseaux, Noa Ofen   +6 more
doaj   +1 more source

GLMdenoise: a fast, automated technique for denoising task-based fMRI data [PDF]

Frontiers in Neuroscience, 2013
In task-based functional magnetic resonance imaging (fMRI), researchers seek to measure fMRI signals related to a given task or condition. In many circumstances, measuring this signal of interest is limited by noise. In this study, we present GLMdenoise, a technique that improves signal-to-noise ratio (SNR) by entering noise regressors into a general ...
Kay, Kendrick N., Rokem, Ariel, Winawer, Jonathan, Dougherty, Robert F., Wandell, Brian A.   +4 more
openaire   +3 more sources

Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia

Frontiers in Neuroscience, 2019
Machine learning classification techniques are frequently applied to structural and resting-state fMRI data to identify brain-based biomarkers for developmental disorders. However, task-related fMRI has rarely been used as a diagnostic tool.
Philippe Albouy, Philippe Albouy, Anne Caclin, Anne Caclin, Sam V. Norman-Haignere, Sam V. Norman-Haignere, Yohana Lévêque, Yohana Lévêque, Isabelle Peretz, Barbara Tillmann, Barbara Tillmann, Robert J. Zatorre, Robert J. Zatorre   +12 more
doaj   +1 more source

Validating an image-based fNIRS approach with fMRI and a working memory task [PDF]

, 2017
In the current study, we extend a previous methodological pipeline by adding a novel image reconstruction approach to move functional near-infrared (fNIRS) signals from channel-space on the surface of the head to voxel-space within the brain volume.
Spencer, John P., Magnotta, Vincent A, Wijeakumar, Sobanawartiny, Magnotta, Vincent A., Buss, Aaron T., Huppert, Theodore J, Huppert, Theodore, Huppert, Theodore J., Spencer, John P, Buss, Aaron T   +9 more
core   +1 more source

Resting‐state functional magnetic resonance imaging versus task‐based activity for language mapping and correlation with perioperative cortical mapping

Brain and Behavior, 2019
Introduction Preoperative language mapping using functional magnetic resonance imaging (fMRI) aims to identify eloquent areas in the vicinity of surgically resectable brain lesions.
Jean‐Michel Lemée, David Hassanein Berro, Florian Bernard, Eva Chinier, Louis‐Marie Leiber, Philippe Menei, Aram Ter Minassian   +6 more
doaj   +1 more source