AIMC Topic: Functional Laterality
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A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification.
Neural networks : the official journal of the International Neural Network Society
Jan 8, 2025
In this work, we propose a Fine-grained Hemispheric Asymmetry Network (FG-HANet), an end-to-end deep learning model that leverages hemispheric asymmetry features within 2-Hz narrow frequency bands for accurate and interpretable emotion classification...
In good hands: A case for improving robotic dexterity.
Science (New York, N.Y.)
Dec 12, 2024
Twenty-first-century roboticists envision robots capable of sorting objects and packaging them, of chopping vegetables and folding clothes. But although many today believe that the only factors necessary for robots to achieve dexterous manipulation a...
Restoring of Interhemispheric Symmetry in Patients With Stroke Following Bilateral or Unilateral Robot-Assisted Upper-Limb Rehabilitation: A Pilot Randomized Controlled Trial.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 27, 2024
Bilateral robotic rehabilitation has proven helpful in the recovery of upper limb motor function in patients with stroke, but its effects on the cortical reorganization mechanisms underlying recovery are still unclear. This pilot Randomized Controlle...
Robotic assessment of bilateral and unilateral upper limb functions in adults with cerebral palsy.
Journal of neuroengineering and rehabilitation
Aug 22, 2024
BACKGROUND: Children with unilateral cerebral palsy (CP) exhibit motor impairments predominantly on one side of the body, while also having ipsilesional and bilateral impairments. These impairments are known to persist through adulthood, but their ex...
Brain control of bimanual movement enabled by recurrent neural networks.
Scientific reports
Jan 18, 2024
Brain-computer interfaces have so far focused largely on enabling the control of a single effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion could unlock greater functionality for people with paralysis (e.g...
Bimanual Motor Strategies and Handedness Role in Human-Robot Haptic Interaction.
IEEE transactions on haptics
Jun 20, 2023
Bimanual object manipulation involves using both hands to interact with objects in the environment, and the process requires the central nervous system to process sensory feedback and translate it into motor commands. Although there have been signifi...
Increasing motor cortex activation during grasping via novel robotic mirror hand therapy: a pilot fNIRS study.
Journal of neuroengineering and rehabilitation
Jan 24, 2022
BACKGROUND: Mirror therapy (MT) has been used for functional recovery of the affected hand by providing the mirrored image of the unaffected hand movement, which induces neural activation of the cortical hemisphere contralateral to the affected hand....
MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy.
Neurology
Sep 2, 2021
BACKGROUND AND OBJECTIVES: MRI fails to reveal hippocampal pathology in 30% to 50% of temporal lobe epilepsy (TLE) surgical candidates. To address this clinical challenge, we developed an automated MRI-based classifier that lateralizes the side of co...
The divided brain: Functional brain asymmetry underlying self-construal.
NeuroImage
Jul 9, 2021
Self-construal (orientations of independence and interdependence) is a fundamental concept that guides human behaviour, and it is linked to a large number of brain regions. However, understanding the connectivity of these regions and the critical pri...
A robot-aided visuomotor wrist training induces gains in proprioceptive and movement accuracy in the contralateral wrist.
Scientific reports
Mar 5, 2021
Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and motor performance of a joint/limb system. Here, we examined if such learning transfers to the contralateral joints. Using a robotic exoskeleton, 15 h...
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