Results 31 to 40 of about 461,759 (306)

Statistical learning methods for neuroimaging data analysis with applications [PDF]

arXiv, 2022
The aim of this paper is to provide a comprehensive review of statistical challenges in neuroimaging data analysis from neuroimaging techniques to large-scale neuroimaging studies to statistical learning methods. We briefly review eight popular neuroimaging techniques and their potential applications in neuroscience research and clinical translation ...
arxiv  

Self-Conscious Emotions and the Right Fronto-Temporal and Right Temporal Parietal Junction

Brain Sciences, 2022
For more than two decades, research focusing on both clinical and non-clinical populations has suggested a key role for specific regions in the regulation of self-conscious emotions.
Adriana LaVarco, Nathira Ahmad, Qiana Archer, Matthew Pardillo, Ray Nunez Castaneda, Anthony Minervini, Julian Paul Keenan   +6 more
doaj   +1 more source

Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction. [PDF]

, 2012
Recent contributions to the body of knowledge on traumatic brain injury (TBI) favor the view that multimodal neuroimaging using structural and functional magnetic resonance imaging (MRI and fMRI, respectively) as well as diffusion tensor imaging (DTI ...
Aylward, Stephen R, Gerig, Guido, Hovda, David A, Irimia, Andrei, Kikinis, Ron, Pace, Danielle F, Prastawa, Marcel W, Van Horn, John D, Vespa, Paul M, Wang, Bo   +9 more
core   +1 more source

Neuroimaging in epilepsy

Annals of Indian Academy of Neurology, 2011
Epilepsy is a common neurological disorder with diverse etiologies. Neuroimaging plays an important role in workup of patients with epilepsy. It helps to identify brain pathologies that require specific treatment; and also in formulating syndromic and etiological diagnoses so as to give patients and their relatives an accurate prognosis.
Trishit Roy, Alak Pandit
openaire   +6 more sources

An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration [PDF]

, 2020
Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive?compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small ...
Arnold, P., Benedetti, F., Bertolin, S., Beucke, J., Boedhoe, P., Bollettini, I., Bose, A., Brennan, B., Bruin, W., Buitelaar, J., De Nadai, A., ENIGMA-OCD working, Fitzgerald, K., Francks, C., Gruner, P., Grünblatt, E., Hirano, Y., Hoexter, M., Hoogman, M., Huyser, C., Ivanov, I., Jahanshad, N., James, A., Koch, K., Kong, X., Kvale, G., Kwon, J., Lazaro, L., Lochner, C., Marsh, R., Mataix-Cols, D., Morgado, P., Nakamae, T., Nakao, T., Narayanaswamy, J., Nurmi, E., O'Neill, J., Patel, Y., Paus, T., Piras, F., Pittenger, C., Reddy, Y., Sato, J., Schmaal, L., Simpson, H., Soreni, N., Soriano-Mas, C., Spalletta, G., Stein, D., Stewart, S., Taylor, S., Thomopoulos, S., Thompson, P., Tolin, D., Van den Heuvel, O., Van Rooij, D., Van Wingen, G., Veltman, D., Venkatasubramanian, G., Vriend, C., Walitza, S., Wang, Z., Yun, J.   +62 more
core   +1 more source

Model averaging, optimal inference and habit formation

Frontiers in Human Neuroscience, 2014
Postulating that the brain performs approximate Bayesian inference generates principled and empirically testable models of neuronal function – the subject of much current interest in neuroscience and related disciplines.
Thomas H B FitzGerald, Raymond J Dolan, Karl eFriston   +2 more
doaj   +1 more source

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review [PDF]

arXiv, 2021
Machine learning is playing an increasingly important role in medical image analysis, spawning new advances in the clinical application of neuroimaging. There have been some reviews on machine learning and epilepsy before, and they mainly focused on electrophysiological signals such as electroencephalography (EEG) and stereo electroencephalography ...
arxiv  

Topographic maps representing haptic numerosity reveals distinct sensory representations in supramodal networks

Nature Communications, 2021
Topographically organized tuned responses to haptic numerosity were found in the human brain. The responses to visual or haptic numerosity shared a similar large-scale cortical network, yet the maps of the two modalities only partially overlapped ...
Shir Hofstetter, Yuxuan Cai, Ben M. Harvey, Serge O. Dumoulin   +3 more
doaj   +1 more source

Machine Learning for Neuroimaging with Scikit-Learn [PDF]

, 2013
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.
Abraham, Alexandre, Eickenberg, Michael, Gervais, Philippe, Gramfort, Alexandre, Kossaifi, Jean, Muller, Andreas, Pedregosa, Fabian, Thirion, Bertrand, Varoquaux, Gäel   +8 more
core   +4 more sources

Neuroimaging of Consciousness [PDF]

, 2013
Neuroimaging of consciousness / , Neuroimaging of consciousness / , کتابخانه دیجیتال جندی شاپور ...
CAVANNA, Andrea Eugenio, NANI, ANDREA, Blumenfeld, Hal, Laureys, Steven   +3 more
openaire   +2 more sources