Self-guided Positive Imagery Training : Effects beyond the Emotions – A Loreta Study

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Portable decision support for diagnosis of traumatic brain injury

Early detection and diagnosis of Traumatic Brain Injury (TBI) could reduce significantly the death rate and improve the quality of life of the people affected if emergency services are equipped with tools for TBI diagnosis at the place of the accident. This problem is addressed here by proposing a portable decision support system called EmerEEG, which is based on Quantitative Electroencephalography (qEEG). The contributions of the paper are the proposed system concept, architecture and decision support for TBI diagnosis. By the virtue of its easily operable mobile system, the proposed solution for emergency TBI diagnosis provides valuable decision support at a very early stage after an accident, thereby enabling a short response time in critical situations and better prospects for the people affected

Automatic EEG processing for the early diagnosis of traumatic brain injury

Traumatic Brain Injury (TBI) is recognized as an important cause of death and disabilities after an accident. The availability a tool for the early diagnosis of brain dysfunctions could greatly improve the quality of life of people affected by TBI and even prevent deaths. The contribution of the paper is a process including several methods for the automatic processing of electroencephalography (EEG) data, in order to provide a fast and reliable diagnosis of TBI. Integrated in a portable decision support system called EmerEEG, the TBI diagnosis is obtained using discriminant analysis based on quantitative EEG (qEEG) features extracted from data recordings after the automatic removal of artifacts. The proposed algorithm computes the TBI diagnosis on the basis of a model extracted from clinically-labelled EEG records. The system evaluations have confirmed the speed and reliability of the processing algorithms as well as the system's ability to deliver accurate diagnosis. The developed algorithms have achieved 79.1% accuracy in removing artifacts, and 87.85% accuracy in TBI diagnosis. Therefore, the developed system enables a short response time in emergency situations and provides a tool the emergency services could base their decision upon, thus preventing possibly miss-diagnosed injuries

Involvement of cortico-subcortical circuits in normoacousic chronic tinnitus: A source localization EEG study

To better characterize brain circuits dysfunctions in normoacousic tinnitus sufferers. Methods: 17 normoacousic chronic, unilateral high-pitched tinnitus sufferers (6 females, 43.6 ± 9.8 y.o, disease duration 22 ± 35 months) underwent a 29-channel resting-state electroencephalography (EEG – 5 min opened-eyes, 5 min closed-eyes) and auditory oddball paradigm for event-related potentials analyses (ERPs – N1, P2 and P300). Cortical 3D distribution of current source density was computed with sLORETA. Results were compared with 17 controls (9 females, 45.7 ± 15.1 y.o). Results: Eyes opened, tinnitus sufferers had lower alpha and beta sources in the left inferior parietal lobule. Eyes closed, tinnitus sufferers had decreased alpha sources in the left inferior temporal and post-central gyri, and low gamma sources in the left middle temporal gyrus. EEG data did not correlate with tinnitus sufferers’ clinical features. Subjects with tinnitus had shorter N1 and P2 latencies. P300 did not differ between groups. sLORETA solutions showed decreased sources of these ERPs in the left inferior temporal gyrus in the tinnitus group. Conclusions: We showed cortico-thalamo-cortical involvements in normoacousic tinnitus with hyperexcitability of the left auditory cortex and inferior temporal gyrus. Significance: This might reflect processes of maladaptive cortical plasticity and memory consolidation. Further validation is needed to establish the value of this tool in customizing therapeutic approach

Action observation and motor imagery in performance of complex movements: Evidence from EEG and kinematics analysis

Motor imagery (MI) and action observation (AO) are considered effective cognitive tools for motor learning, but little work directly compared their cortical activation correlate in relation with subsequent performance. We compared AO and MI in promoting early learning of a complex four-limb, hand?foot coordination task, using electroencephalographic (EEG) and kinematic analysis. Thirty healthy subjects were randomly assigned into three groups to perform a training period in which AO watched a video of the task, MI had to imagine it, and Control (C) was involved in a distracting computation task. Subjects were then asked to actually perform the motor task with kinematic measurement of error time with respect to the correct motor performance. EEG was recorded during baseline, training and task execution, with task-related power (TRPow) calculation for sensorimotor (alpha and beta) rhythms reactive with respect to rest. During training, the AO group had a stronger alpha desynchronization than the MI and C over frontocentral and bilateral parietal areas. However, during task execution, AO group had greater beta synchronization over bilateral parietal regions than MI and C groups. This beta synchrony furthermore demonstrated the strongest association with kinematic errors, which was also significantly lower in AO than in MI. These data suggest that sensorimotor activation elicited by action observation enhanced motor learning according to motor performance, corresponding to a more efficient activation of cortical resources during task execution. Action observation may be more effective than motor imagery in promoting early learning of a new complex coordination task

Can the Psycho-Emotional State be Optimized by Regular Use of Positive Imagery?, Psychological and Electroencephalographic Study of Self-Guided Training

The guided imagery training is considered as an effective method and therefore widely used in modern cognitive psychotherapy, while less is known about the effectiveness of self-guided. The present study investigated the effects of regular use of self-guided positive imagery, applying both subjective (assessment of the psycho-emotional state) and objective (electroencephalographic, EEG) approaches to research. Thirty healthy subjects participated in the cognitive imagery-training program for 12 weeks. The schedule began with group training with an instructor for 2 days, where the participants learned various techniques of positive imagery, after which they continued their individual training at home. Psychological and EEG evaluations were applied at the baseline and at the end of the training period. The impact of training on the psycho-emotional states of the participants was evaluated through: Center for epidemiologic studies- Depression (CES-D) 20 item scale, Satisfaction with life scale (SWLS) and General Self-Efficacy scale (GSE). EEGs (19-channels) were recorded at rest with eyes closed. EEG analysis was performed using Low resolution electromagnetic tomography (LORETA) software that allows the comparison of current source density (CSD) and functional connectivity (lagged phase and coherence) in the default mode network before and after a workout. Initial assessment with CES-D indicated that 22 participants had subthreshold depression. After the training participants had less prominent depressive symptoms (CES-D, p = 0.002), were more satisfied with their lives (SWLS, p = 0.036), and also evaluated themselves as more effective (GSE, p = 0.0002). LORETA source analysis revealed an increase in the CSD in the right mPFC (Brodmann area 10) for beta-2 band after training (p = 0.038). LORETA connectivity analysis demonstrated an increase in lagged coherence between temporal gyruses of both hemispheres in the delta band, as well as between the Posterior cingulate cortex and right BA21 in the theta band after a workout. Since mPFC is involved in emotional regulation, functional changes in this region can be seen in line with the results of psychological tests and their objective validation. A possible activation of GAMK-ergic system is discussed. Self-guided positive imagery (after instructions) can be helpful for emotional selfregulation in healthy subjects and has the potential to be useful in subthreshold depression

Foliar application of Pluronic P85-grafted single-walled carbon nanotubes induces thylakoid membrane structural remodeling

Moderation and optimization of the photosynthetic function of higher plants by nanomaterials is under intensive investigation, but remain still far from practical utilization. We have previously demonstrated that foliar spraying of Pluronic P85-grafted single-walled carbon nanotubes (P85-SWCNT) affects the functionality and structural organization of the photosynthetic thylakoid membranes in pea plants. In the present work, we further study in more details the structural changes in the photosynthetic machinery induced by P85-SWCNT treatment. Evidences are provided that P85-SWCNT induces thylakoid membrane remodeling, namely—partial membrane unstacking, thermal stabilization of the major light-harvesting complex of photosystem II and its migration toward the stroma lamellae. The observed effects are most pronounced for the highest used concentration of 300 mg/L P85-SWCNT. Our results reveal that P85-SWCNT in concentrations below 300 mg/L is an interesting object for further investigation of the potential application of nanomaterials in plant science, e.g., as nanocarriers of beneficial substances reaching the photosynthetic apparatus