AIMC Topic: Brain Mapping
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Group-regularized individual prediction: theory and application to pain.
NeuroImage
Nov 17, 2015
Multivariate pattern analysis (MVPA) has become an important tool for identifying brain representations of psychological processes and clinical outcomes using fMRI and related methods. Such methods can be used to predict or 'decode' psychological sta...
Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2015
We present an extension of a neurobiologically inspired robotics model, termed CoRLEGO (Choice reaching with a LEGO arm robot). CoRLEGO models experimental evidence from choice reaching tasks (CRT). In a CRT participants are asked to rapidly reach an...
Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines.
NeuroImage
Oct 24, 2015
A growing body of literature suggests that changes in consciousness are reflected in specific connectivity patterns of the brain as obtained from resting state fMRI (rs-fMRI). As simultaneous electroencephalography (EEG) is often unavailable, decodin...
Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span.
Medical engineering & physics
Oct 21, 2015
In this study, we present a method for measuring functional magnetic resonance imaging (fMRI) signal complexity using fuzzy approximate entropy (fApEn) and compare it with the established sample entropy (SampEn). Here we use resting state fMRI datase...
Spatially regularized machine learning for task and resting-state fMRI.
Journal of neuroscience methods
Oct 16, 2015
BACKGROUND: Reliable mapping of brain function across sessions and/or subjects in task- and resting-state has been a critical challenge for quantitative fMRI studies although it has been intensively addressed in the past decades.
Optimal stimulus scheduling for active estimation of evoked brain networks.
Journal of neural engineering
Oct 8, 2015
OBJECTIVE: We consider the problem of optimal probing to learn connections in an evoked dynamic network. Such a network, in which each edge measures an input-output relationship between sites in sensor/actuator-space, is relevant to emerging applicat...
Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot.
Neural networks : the official journal of the International Neural Network Society
Oct 3, 2015
Mental rotation, a classic experimental paradigm of cognitive psychology, tests the capacity of humans to mentally rotate a seen object to decide if it matches a target object. In recent years, mental rotation has been investigated with brain imaging...
Development of the brain's structural network efficiency in early adolescence: A longitudinal DTI twin study.
Human brain mapping
Sep 14, 2015
The brain is a network and our intelligence depends in part on the efficiency of this network. The network of adolescents differs from that of adults suggesting developmental changes. However, whether the network changes over time at the individual l...
Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents.
Human brain mapping
Sep 9, 2015
Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on "static," stationary patterns of connectivity, which may miss crucial biological information. Recent methodological...
Machine-learning to characterise neonatal functional connectivity in the preterm brain.
NeuroImage
Sep 2, 2015
Brain development is adversely affected by preterm birth. Magnetic resonance image analysis has revealed a complex fusion of structural alterations across all tissue compartments that are apparent by term-equivalent age, persistent into adolescence a...
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