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Special issue on Applied Neuroscience: Functional enhancement, prevention, characterisation and methodology

1/31/2018

1 Comment

 
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Special issue on Applied Neuroscience: Functional enhancement, prevention, characterisation and methodology
Edited by John Gruzelier, Panagiotis Bamidis, Linda Pagani, Miriam Reiner and Tomas Ros

Contents
  • International Organization of Psychophysiology - Details
  • Full Title with Editorial Board Members
  • Instructions to Authors
  • Applied Neuroscience: Functional enhancement, prevention, characterisation and methodology. (Hosting the Society of Applied Neuroscience) [FREE PDF]
  • Cognitive and physical training for the elderly: Evaluating outcome efficacy by means of neurophysiological synchronization
  • Eye Blink Rate as a biological marker of Mild Cognitive Impairment
  • Parental bad habits breed bad behaviors in youth: Exposure to gestational smoke and child impulsivity
  • Effects of psychosocial stress on psychophysiological activity during risky decision-making in male adolescents
  • Cardiac reactivity and preserved performance under stress: Two sides of the same coin?
  • Estimating mental workload through event-related fluctuations of pupil area during a task in a virtual world
  • Natural stimuli from three coherent modalities enhance behavioral responses and electrophysiological cortical activity in humans
  • Disturbances in affective touch in hereditary sensory & autonomic neuropathy type III
  • Excitatory versus inhibitory impairments in insomnia patients: An ERP study
  • Characteristics of cognitive deficits and writing skills of Polish adults with developmental dyslexia
  • EEG-neurofeedback and psychodynamic psychotherapy in a case of adolescent anhedonia with substance misuse: Mood/theta relations
  • Immediate effects of alpha/theta and sensory-motor rhythm feedback on music performance
  • Application of alpha/theta neurofeedback and heart rate variability training to young contemporary dancers: State anxiety and creativity
  • Differential effects on mood of 12–15 (SMR) and 15–18 (beta1) Hz neurofeedback
  • Validation of a neurofeedback paradigm: Manipulating frontal EEG alpha-activity and its impact on mood
  • Amygdala responses to valence and its interaction by arousal revealed by MEG
  • Tracking EEG changes in response to alpha and beta binaural beats
  • Using music as a signal for biofeedback
  • Sleepiness phenomics: Modeling individual differences in subjective sleepiness profiles
  • Machine learning approach for classification of ADHD adults
  • The effect of head and coil modeling for the calculation of induced electric field during transcranial magnetic stimulation
1 Comment
Heather link
4/8/2019 02:07:43 am

Great article, thank you for posting the links.

Reply



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