Results 51 to 60 of about 5,911,579 (291)

Dynamic causal modelling for fMRI: A two-state model [PDF]

NeuroImage, 2008
Dynamical causal modelling (DCM) for functional magnetic resonance imaging (fMRI) is a technique to infer directed connectivity among brain regions. These models distinguish between a neuronal level, which models neuronal interactions among regions, and an observation level, which models the hemodynamic responses each region.
André C. Marreiros, Stefan J. Kiebel, Karl J. Friston   +2 more
openaire   +4 more sources

Exploring manual asymmetries during grasping: a dynamic causal modeling approach.

Frontiers in Psychology, 2015
Recording of neural activity during grasping actions in macaques showed that grasp-related sensorimotor transformations are accomplished in a circuit constituted by the anterior part of the intraparietal sulcus (AIP), the ventral (F5) and the dorsal (F2)
Chiara eBegliomini, Chiara eBegliomini, Luisa eSartori, Luisa eSartori, Diego eMiotto, Roberto eStramare, Raffaella eMotta, Umberto eCastiello, Umberto eCastiello   +8 more
doaj   +1 more source

A dual role for prediction error in associative learning [PDF]

, 2008
Confronted with a rich sensory environment, the brain must learn statistical regularities across sensory domains to construct causal models of the world.
Friston, K J, Ouden, H.E.M. den, McIntosh, A R, Stephan, K.E., den Ouden, H.E.M., den Ouden, H E M, Stephan, K E, Daw, N.D., Daw, N D, Friston, K.J., McIntosh, A.R., den Ouden, Hanneke E.M., McIntosh, Anthony R., Daw, Nathaniel D., Friston, Karl J., Stephan, Klaas E.   +15 more
core   +1 more source

Critical comments on dynamic causal modelling

NeuroImage, 2012
Dynamic causal modelling (DCM) (Friston et al., 2003) is a technique designed to investigate the influence between brain areas using time series data obtained by EEG/MEG or functional magnetic resonance imaging (fMRI). The basic idea is to fit various models to time series data, and select one of those models using Bayesian model comparison.
Gabriele Lohmann, Kerstin Erfurth, Karsten Müller 0002, Robert Turner   +3 more
openaire   +4 more sources

The Connected Brain: Causality, models, and intrinsic dynamics [PDF]

IEEE Signal Processing Magazine, 2016
52 pages, Feature Article, Accepted, IEEE Signal Processing ...
Adeel Razi, Karl J. Friston
openaire   +4 more sources

Detection of motor changes in Huntington’s disease using dynamic causal modeling

Frontiers in Human Neuroscience, 2015
Deficits in motor functioning are one of the hallmarks of Huntington’s disease (HD), a genetically caused neurodegenerative disorder. We applied functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM) to assess changes that occur ...
Lora eMinkova, Lora eMinkova, Lora eMinkova, Elisa eScheller, Elisa eScheller, Jessica ePeter, Jessica ePeter, Ahmed eAbdulkadir, Ahmed eAbdulkadir, Christoph P. Kaller, Christoph P. Kaller, Christoph P. Kaller, Raymund A. Roos, Alexandra eDurr, Blair R. Leavitt, Sarah J. Tabrizi, Stefan eKlöppel, Stefan eKlöppel, Stefan eKlöppel   +18 more
doaj   +1 more source

HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing [PDF]

Classifying graph-structured data presents significant challenges due to the diverse features of nodes and edges and their complex relationships. While Graph Neural Networks (GNNs) are widely used for graph prediction tasks, their performance is often ...
Cai, Taotao, Li, Lin, Tao, Xiaohui, Yong, Jianming, Xu, Cai, Xie, Haoran, Job, Simi   +6 more
core   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Neural masses and fields in dynamic causal modeling [PDF]

Frontiers in Computational Neuroscience, 2013
Dynamic causal modeling (DCM) provides a framework for the analysis of effective connectivity among neuronal subpopulations that subtend invasive (electrocorticograms and local field potentials) and non-invasive (electroencephalography and magnetoencephalography) electrophysiological responses. This paper reviews the suite of neuronal population models
Rosalyn J Moran, Rosalyn J Moran, Dimitris A Pinotsis, Karl J Friston   +3 more
openaire   +6 more sources

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source