Results 91 to 100 of about 5,006,415 (321)

Synchronous functional magnetic resonance eye imaging, video ophthalmoscopy, and eye surface imaging reveal the human brain and eye pulsation mechanisms

Scientific Reports
The eye possesses a paravascular solute transport pathway that is driven by physiological pulsations, resembling the brain glymphatic pathway. We developed synchronous multimodal imaging tools aimed at measuring the driving pulsations of the human eye ...
Seyed-Mohsen Ebrahimi, Johanna Tuunanen, Ville Saarela, Marja Honkamo, Niko Huotari, Lauri Raitamaa, Vesa Korhonen, Heta Helakari, Matti Järvelä, Mika Kaakinen, Lauri Eklund, Vesa Kiviniemi   +11 more
doaj   +1 more source

Event-Related Potential Responses to Task Switching Are Sensitive to Choice of Spatial Filter

Frontiers in Neuroscience, 2018
Event-related potential (ERP) studies using the task-switching paradigm show that multiple ERP components are modulated by activation of proactive control processes involved in preparing to repeat or switch task and reactive control processes involved in
Aaron S. W. Wong, Aaron S. W. Wong, Patrick S. Cooper, Patrick S. Cooper, Patrick S. Cooper, Alexander C. Conley, Alexander C. Conley, Alexander C. Conley, Montana McKewen, Montana McKewen, W. Ross Fulham, W. Ross Fulham, Patricia T. Michie, Patricia T. Michie, Frini Karayanidis, Frini Karayanidis, Frini Karayanidis   +16 more
doaj   +1 more source

Learning patient-specific parameters for a diffuse interface glioblastoma model from neuroimaging data [PDF]

, 2019
Parameters in mathematical models for glioblastoma multiforme (GBM) tumour growth are highly patient specific. Here we aim to estimate parameters in a Cahn-Hilliard type diffuse interface model in an optimised way using model order reduction (MOR) based on proper orthogonal decomposition (POD). Based on snapshots derived from finite element simulations
arxiv   +1 more source

Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker

Advanced Science, EarlyView.
The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio, Giuseppe Stolfa, Roberta Passiatore, Angelantonio Tavella, Giuseppe Blasi, Madalina O. Buciuman, Aaron L. Goldman, Shalaila S. Haas, Lana Kambeitz‐Ilankovic, Nikolaos Koutsouleris, Monica Nicoli, Teresa Popolizio, Antonio Rampino, Anne Ruef, Fabio Sambataro, Pierluigi Selvaggi, William Ulrich, Daniel R. Weinberger, Apulian Network on Risk for Psychosis, PRONIA Consortium, Alessandro Bertolino, Linda A. Antonucci, Giulio Pergola   +22 more
wiley   +1 more source

Simultaneous representation of a spectrum of dynamically changing value estimates during decision making

Nature Communications, 2017
Activity in dorsal anterior cingulate cortex (dACC) dynamically tracks the value of the choice after every outcome. Here the authors report that dACC represents topographic maps of value estimates for different learning rates and interacts with similar ...
David Meder, Nils Kolling, Lennart Verhagen, Marco K. Wittmann, Jacqueline Scholl, Kristoffer H. Madsen, Oliver J. Hulme, Timothy E.J. Behrens, Matthew F.S. Rushworth   +8 more
doaj   +1 more source

Control of entropy in neural models of environmental state

eLife, 2019
Humans and animals construct internal models of their environment in order to select appropriate courses of action. The representation of uncertainty about the current state of the environment is a key feature of these models that controls the rate of ...
Timothy H Muller, Rogier B Mars, Timothy E Behrens, Jill X O'Reilly   +3 more
doaj   +1 more source

Machine Learning for Neuroimaging with Scikit-Learn [PDF]

arXiv, 2014
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. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or ...
arxiv  

Altered Hub Functioning and Compensatory Activations in the Connectome: A Meta-Analysis of Functional Neuroimaging Studies in Schizophrenia

Schizophrenia bulletin, 2015
Background: Functional neuroimaging studies of schizophrenia have identified abnormal activations in many brain regions. In an effort to interpret these findings from a network perspective, we carried out a meta-analysis of this literature, mapping ...
N. Crossley, A. Mechelli, Cedric E. Ginestet, M. Rubinov, E. Bullmore, P. McGuire   +5 more
semanticscholar   +1 more source

Neural Plasticity and Hearing‐Speech Development in Children with Auditory Brainstem Implants for Congenital Hearing Loss Due to Severe Inner Ear Malformation

Advanced Science, EarlyView.
Data from a prospective cohort with 112 auditory brainstem implant users are analyzed. Younger age at implantation (<3 years), less severe inner‐ear malformation (common cavity, cochlear aplasia, and hypoplasia), and more intraoperative eABR evoked electrodes (≥60%) are associated with better hearing and speech outcomes.
Yu Zhang, Yongchuan Chai, Yiwen Zhang, Huan Jia, Zhaoyan Wang, Zhihua Zhang, Zhili Wang, Jie Chen, Xue Wang, Yun Li, Ying Chen, Hao Wu   +11 more
wiley   +1 more source

Magnetoencephalography with optically pumped magnetometers (OPM-MEG): the next generation of functional neuroimaging

Trends in Neurosciences, 2022
M. Brookes, J. Leggett, M. Rea, R. Hill, N. Holmes, E. Boto, R. Bowtell   +6 more
semanticscholar   +1 more source