AIMC Topic: Functional Laterality
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Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes.
NeuroImage. Clinical
Sep 28, 2017
OBJECTIVE: To diagnose and lateralise temporal lobe epilepsy (TLE) by building a classification system that uses directed functional connectivity patterns estimated during EEG periods without visible pathological activity.
Predicting hemispheric dominance for language production in healthy individuals using support vector machine.
Human brain mapping
Sep 3, 2017
We used a Support Vector Machine (SVM) classifier to assess hemispheric pattern of language dominance of 47 individuals categorized as non-typical for language from their hemispheric functional laterality index (HFLI) measured on a sentence minus wor...
The impact of goal-oriented task design on neurofeedback learning for brain-computer interface control.
Medical & biological engineering & computing
Jul 8, 2017
Neurofeedback training teaches individuals to modulate brain activity by providing real-time feedback and can be used for brain-computer interface control. The present study aimed to optimize training by maximizing engagement through goal-oriented ta...
Dynamic neural architecture for social knowledge retrieval.
Proceedings of the National Academy of Sciences of the United States of America
Mar 13, 2017
Social behavior is often shaped by the rich storehouse of biographical information that we hold for other people. In our daily life, we rapidly and flexibly retrieve a host of biographical details about individuals in our social network, which often ...
A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements.
Neural networks : the official journal of the International Neural Network Society
Nov 3, 2016
Certain theoretical frameworks have successfully explained motor learning in either unimanual or bimanual movements. However, no single theoretical framework can comprehensively explain motor learning in both types of movement because the relationshi...
Multi-parameter machine learning approach to the neuroanatomical basis of developmental dyslexia.
Human brain mapping
Oct 6, 2016
Despite decades of research, the anatomical abnormalities associated with developmental dyslexia are still not fully described. Studies have focused on between-group comparisons in which different neuroanatomical measures were generally explored in i...
Neural correlates of motor recovery after robot-assisted stroke rehabilitation: a case series study.
Neurocase
Aug 2, 2016
Robot-assisted bilateral arm therapy (RBAT) has shown promising results in stroke rehabilitation; however, connectivity mapping of the sensorimotor networks after RBAT remains unclear. We used fMRI before and after RBAT and a dose-matched control int...
A new biarticular actuator design facilitates control of leg function in BioBiped3.
Bioinspiration & biomimetics
Jul 1, 2016
Bioinspired legged locomotion comprises different aspects, such as (i) benefiting from reduced complexity control approaches as observed in humans/animals, (ii) combining embodiment with the controllers and (iii) reflecting neural control mechanisms....
Lateral specialization in unilateral spatial neglect: a cognitive robotics model.
Cognitive processing
Mar 28, 2016
In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilateral spatial neglect (USN). To this end, we introduce an artificial neural network architecture desi...
Probabilistic machine learning for the evaluation of presurgical language dominance.
Journal of neurosurgery
Jan 1, 2016
OBJECTIVE Providing a reliable assessment of language lateralization is an important task to be performed prior to neurosurgery in patients with epilepsy. Over the last decade, functional MRI (fMRI) has emerged as a useful noninvasive tool for langua...
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