SAN2016 Blog

Neuroscience and Music

Prof. Georgios Papadelis, provided us with a very interesting presentation showing a system of cochlear implant (CI), which constitutes a type of acoustic prostheses restoring hearing in individuals with severe sensorineural hearing loss by stimulating electrically the auditory nerve surviving neurons directly. He mentioned the importance of music-based rehabilitation programs in cochlear implant users. The research study showed the insights from the brain-plasticity point of view.  

Where there is smoke there is fire: early childhood household smoke exposure is prospectively associated with antisocial behavior at age 12.

Prof. Linda Pagani exhibits the little control the  Young children exert over household tobacco smoke exposure which is considered as a developmnetnal neurotoxicant. Her presentation included information from questionnaires filled in by parents of 1035 children. Early childhood household smoke predicted self-reported antisocial risks at age 12. Conduct problems, proactive aggression toward peers, reactive aggression toward peers, school indiscipline, later school dropout risk.

Towards medical education neuroscience: pilot results of integrative affective analytics from clinical skills workshops.

Dr. Panagiotis Evaggelos Antoniou presented techniques for engagement and motivation towards affective learning. Learning analytics, user activities quantification, sensors, analysis tools for mood and emotion assessment.

Neuroscience and Music

Prof. Simone Dalla Bella, presented the evidences showed that Gait dysfunction in Parkinson's disease can be mitigated in part with rhythmic auditory cueing. The research introduced that biologically variable stimulation which is adapted to the patients steps is the most effective for improving the efficiency of gait. It seemed that these findings provide useful instructions for optimizing music-driven rehabilitation of gait in Parkinson Disease.




The mind simulator: Upper alpha and enhanced mental rotation

Prof. Miriam Reiner presents the mind simulator on top of virtual/augmented reality, event related neural correlates and enhanced learning. Participants perform a task in a highly immersive virual reality, while connected to EEG, eye trackers, etc. Her vision? Emerging technologies and especially augmented reality will lead us to enhnaced learning. If the brain was to select between visual and haptik stimulation, it would choose the former (illusion). 

Vigilance Enhancement using Challenge Integration in a Naturalistic Surveaillance Task

Prof. Anastasios Bezerianos talks about vigilance enhancement using challenge integration in a naturalistic surveaillance task. Eye tracking and EEG promising preliminary results will lead to the build of a closed loop cognition enhancing strategies to simultaneously detect and prevent vigilance decrement as a future plan.

Advanced multimodal neuroimaging for studying prevalent neurological pediatric disorders

Dr. Christos Papadelis focused on cerebral palsy and pediatric epilepsy. He stressed the importance of sensorimotor cortex in motor and sensor deficits of cerebral palsy. Based on their study, cerebral palsy has been characterized by a shift of brain activity to the pre-central gyrus, suppressed gamma activation, abnormal somatopic brain organization in the primary somatosensory cortex, decreased number of fibers in thalamus and thalamic white matter fibers with higher diffusion (that is greater damage).Therefore, Dr.

Applications of fMRI, MEG and TMS in the pre-surgical brain mapping

Prof. Panagiotis Bamidis introduced Prof. A. Papanicolaou who presented an exciting talk describing the use of functional neuroimaging techniques in pre-surgical mapping of brain activity. Prof. Papanicolaou initiated his talk focusing on the reproducibility of the neuroimaging methods, as an important marker for their reliability. Reliability of course is the key point in order to apply these techniques in pre-surgical brain operations. Prof. Papanicolaou distinguished TMS from the other neuroimaging techniques as an interventional method, which can serve as causal brain mapping method.

A theoretical framework for investigating/improving neurofeedback success

Dr Bezerianos kicked of his presentation by introducing mental workload estimation as a significant neuroscience problem. Dr Bezerianos presented his group’s network based method for feature selection and classification of mental workload from two independent tasks, which had a satisfactory accuracy of 82% on cross-task workload classification, and was stable using 26 to 42 features.