Introduction: Grounding Self-Regulation in the Brain and Body

2014 ◽  
pp. 1-6
Author(s):  
Guido H.E. Gendolla ◽  
Mattie Tops ◽  
Sander L. Koole
Keyword(s):  
Self Regulation ◽  
The Brain

Review of Self-regulation of the Brain and Behavior.

1985 ◽  
Vol 30 (12) ◽  
pp. 999-999
Author(s):  
Gerald S. Wasserman
Keyword(s):  
Self Regulation ◽  
Brain And Behavior ◽  
And Behavior ◽  
The Brain

scholarly journals The Learning Curve in neurofeedback of Peter Van Deusen: A review article

2016 ◽  
Vol 10 (2) ◽  
pp. 98-103 ◽  
Author(s):  
Valdenilson Ribeiro Ribas ◽  
Renata de Melo Guerra Ribas ◽  
Hugo André de Lima Martins
Keyword(s):  
Learning Curve ◽  
Web Of Science ◽  
Self Regulation ◽  
Review Article ◽  
Behavioral Activity ◽  
Patient Evaluation ◽  
Temporal Lobes ◽  
Behavioral Psychology ◽  
Choice Of Treatment ◽  
The Brain

ABSTRACT The Learning Curve (TLC) in neurofeedback concept emerged after Peter Van Deusen compiled the results of articles on the expected electrical activity of the brain. This concept was subsequently tested on patients at four clinics in Atlanta between 1994 and 2001. The aim of this paper was to report the historical aspects of TLC. Articles published on the electronic databases MEDLINE/PubMed and Web of Science were reviewed. During patient evaluation, TLC investigates categories called disconnected, hot temporal lobes, reversal of alpha and beta waves, blocking, locking, and filtering or processing. This enables neuroscientists to use their training designs and, by means of behavioral psychology, to work on neuroregulation, as self-regulation for patients. TLC shows the relationships between electrical, mental and behavioral activity in patients. It also identifies details of patterns that can assist physicians in their choice of treatment.

scholarly journals A Role for Emotional Granularity in Judging

2019 ◽  
Vol 9 (9(5)) ◽  
pp. 557-576 ◽  
Author(s):  
Maria Gendron ◽  
Lisa Feldman Barrett
Keyword(s):  
Decision Making ◽  
Self Regulation ◽  
Judicial Decision ◽  
Judicial Decision Making ◽  
Classical View ◽  
Empirically Supported ◽  
Recent Developments ◽  
Toma De Decisiones ◽  
The Mind ◽  
The Brain

Emotions are traditionally viewed as detrimental to judicial responsibility, a belief rooted in the classical view of the mind as a battle ground between reason and emotion. Drawing on recent developments in psychology and neuroscience we propose that the brain uses past experience, organized as concepts, to guide actions and give sensations meaning, constructing experiences such as “fear” or “anger”. Wisdom comes from skill at constructing emotions in a more precise and functional way, a skill called “emotional granularity”. Studies show that individuals who are more emotionally granular have better function across a range of domains, including self regulation and decision making. We propose that effective judicial decision-making does not require a dispassionate judge, but a judge who is high in emotional granularity. We lay out an empirical agenda for testing this idea and end by discussing empirically supported recommendations for increasing emotional granularity in the judiciary. Tradicionalmente, se ha considerado que las emociones son perjudiciales para el desempeño responsable de la labor judicial, una creencia enraizada en la concepción clásica de la mente como campo de batalla entre razón y emoción. Partiendo de nuevos descubrimientos en psicología y neurociencia, argumentamos que el cerebro usa la experiencia pasada, organizada como conceptos, para guiar las acciones y dar sentido a las sensaciones, construyendo experiencias como “miedo” o “ira”. La sabiduría proviene de la habilidad en construir emociones de un modo más preciso y funcional, habilidad denominada “granularidad emocional”. Los estudios muestran que los individuos más granulares emocionalmente funcionan mejor en varios dominios, incluyendo la autorregulación y la toma de decisiones. Argumentamos que la toma de decisiones eficaz en judicatura no requiere de un juez desapasionado, sino de un juez que tenga alta granularidad emocional. Proponemos un programa empírico para poner a prueba esa idea, y concluimos con un debate de recomendaciones de base empírica para aumentar la granularidad emocional en la judicatura.

scholarly journals Music listening as a potential aid in reducing emotional eating: An exploratory study

2018 ◽  
Vol 24 (1) ◽  
pp. 78-95 ◽  
Author(s):  
Annemieke J. M. van den Tol ◽  
Helen Coulthard ◽  
Waldie E. Hanser
Keyword(s):  
Emotional Eating ◽  
Self Regulation ◽  
Music Listening ◽  
Emotional Needs ◽  
Mental Work ◽  
Regulation Strategies ◽  
Low Levels ◽  
Listening Strategies ◽  
The Brain ◽  
Mood Depression

Emotional Eating (EE) is understood as a maladaptive self-regulation strategy to satisfy emotional needs instead of hunger. Consequently, EE has been associated with negative health consequences. Enjoyment of food and music share similar neural activations in the brain and are both used by people for regulating affect. This suggests that music listening could potentially be a healthier alternative to EE. The present study was designed to investigate associations between EE, disordered mood, and music-related mood regulation. A total of 571 participants completed measures of EE, music listening strategies, and disordered mood. Associations between seven different music listening strategies and EE were examined, and also whether these regulation strategies were associated with depression, anxiety, and stress. Finally, we explored associations between music listening and EE in people with low and high (non-clinical) levels of disordered mood (depression, anxiety, and stress). The findings of this research indicated that music listening for discharge (releasing anger or sadness through music that expresses these same emotions) and EE were positively associated with one another. In addition, EE and the music listening strategies of entertainment, diversion or mental work were associated in people with low levels of disordered mood. When disordered mood was high, EE was higher, but was not associated with music listening strategies. These associations point towards the possibility of some music listening strategies being useful as healthier alternatives for EE.

Self-Regulation of the Brain and Behavior

1985 ◽  
Vol 98 (2) ◽  
pp. 316
Author(s):  
Angela Willis ◽  
Thomas Elbert ◽  
Brigitte Rockstroh ◽  
Werner Lutzenberger ◽  
Niels Bribaumer
Keyword(s):  
Self Regulation ◽  
Brain And Behavior ◽  
And Behavior ◽  
The Brain

Effect of Short Lateralized Signals on Arousal versus Activation on Tasks Requiring Visuospatial or Elementary Semantic Stimulus Processing

1988 ◽  
Vol 67 (3) ◽  
pp. 783-788 ◽  
Author(s):  
Bert De Brabander
Keyword(s):  
Information Processing ◽  
Left Hemisphere ◽  
Right Hemisphere ◽  
Self Regulation ◽  
Indirect Evidence ◽  
Supplementary Information ◽  
Processing Load ◽  
Basic Hypothesis ◽  
The Right ◽  
The Brain

The results of the experiment offer indirect evidence for the basic hypothesis that the brain self-regulates its own arousal and activation as a function of the intensity and type of ongoing cortical activity. When subjects perform a task which can be assumed to be primarily attended to by the right hemisphere, the result of a supplementary information-processing load seems to be increased arousal. On a task primarily attended to by the left hemisphere, the consequence is increased activation. The evidence is indirect because no measurements have been made of the neurological events and processes which are assumed to intervene in this self-regulation process. Although indirect, the evidence may help to formulate more precise psychological hypotheses about the factors controlling the putative effort system which, according to Pribram and McGuinness in 1975, coordinates the arousal and activation of cerebral processes.

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