Cognition and affective style: Individual differences in brain electrical activity during spatial and verbal tasks

Bell, Martha Ann

doi:10.1016/s0278-2626(03)00216-1

Cited by 16 publications

(14 citation statements)

References 54 publications

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“…Additional EEG data suggest that greater right frontal activation is associated with negative affect, while greater left frontal activation is associated with positive affect (Tomarken, Davidson, Henriques, 1990;Davidson, 1995). However, Bell and Fox (2003) failed to find baseline frontal asymmetries in groups of participants who scored high in either negative or positive affect. They hypothesized that this may be due to the broad range of emotions that can be classified as negative affect.…”

Section: Valence Modelmentioning

confidence: 86%

“…Depression, which may result from heightened right frontal activation or hypoactivation of the left frontal lobe, can produce deficits on right hemisphere functioning (Miller, Fujioka, Chapman, & Chapman, 1995). Clinical levels of depression may lead to "extreme" levels of hemispheric activation that have been hypothesized to decrease performance (Bell & Fox, 2003).…”

Section: Right and Left Frontal Functionmentioning

confidence: 99%

“…Bell and Fox suggest that there may be an inverted U-shaped function that describes how cerebral activation influences cognitive performance. A "normal" level of hemispheric arousal may be advantageous to cognitive performance, while "extreme" levels of hemispheric arousal may be disadvantageous (Bell & Fox, 2003). More recent work by Liotti and Tucker (1998) and Tucker, Derryberry, and Luu (2000) suggests that connections between cortical and subcortical systems may be important in mediating interactions between hemispheres and cerebral regions.…”

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confidence: 99%

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Emotion and Pain: A Functional Cerebral Systems Integration

Mollet

Harrison

2006

Neuropsychol Rev

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Emotion and pain are psychological constructs that have received extensive attention in neuropsychological research. However, neuropsychological models of emotional processing have made more progress in describing how brain regions interact to process emotion. Theories of emotional processing can describe inter-hemispheric and intra-hemispheric interactions during emotional processing. Due to similarities between emotion and pain, it is thought that emotional models can be applied to pain. The following review examines the neuropsychology of emotion and pain using a functional cerebral systems approach. Specific comparisons are made between pain and anger. Attention is given to differences in cerebral function and physiology that may contribute to the processing of emotion and pain. Suggestions for future research in emotion and pain are given.

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Section: Valence Modelmentioning

confidence: 86%

Section: Right and Left Frontal Functionmentioning

confidence: 99%

mentioning

confidence: 99%

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Emotion and Pain: A Functional Cerebral Systems Integration

Mollet

Harrison

2006

Neuropsychol Rev

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“…During adult cognitive processing, executive function or cognitive control tasks are most likely to be associated with baseline-to-task changes at frontal scalp electrodes, so that task performance can be tied to the specific patterns of EEG change. 104 This also is true for research with infants and very young children. Only infants with high performance on a cognitive control task exhibit this typical pattern of changes in frontal EEG from baseline to task.…”

Section: Executive Attention System and The Anterior Cingulate Cortexmentioning

confidence: 96%

Biological Systems and the Development of Self-Regulation: Integrating Behavior, Genetics, and Psychophysiology

Bell

Deater‐Deckard

2007

Journal of Developmental &Amp; Behavioral Pediatrics

Self Cite

142

124

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Self-regulation is the ability to control inner states or responses with respect to thoughts, emotions, attention, and performance. As such, it is a critical aspect of development and fundamental to personality and behavioral adjustment. In this review, we focus on attentional, cognitive, and emotional control as we discuss the genetic mechanisms and brain mechanisms that contribute to individual differences in self-regulation. We conclude with a discussion of the implications for deviations in the development of this complex construct and suggestions for future research. (J Dev Behav Pediatr 28:409-420, 2007) Index terms: self-regulation, controlled attention, temperament, brain mechanisms, genetic mechanisms Whatexpl ains the remarkable variation between children in how well they adapt to their ever changing environments? In part, the answer lies in self-regulation, a critical aspect of development in infancy, early childhood, and beyond. A set of developing regulatory processes appears to be fundamental to individual differences in personality development and behavioral adjustment 1-3 and includes biological components such as physiology, neurobiology, and genes, and situational components such as parenting, environment, and experience. 4,5 As such, self-regulation can be examined at many different levels and can have multiple definitions. 6 This necessarily makes self-regulation a complex construct and developmentalists have typically simplified the study of self-regulation by focusing only on one or two of these conceptual levels at a time, such as the regulation of emotion. 2,7 There is general agreement, however, that self-regulation operates at the physiological, attentional, emotional, cognitive, and behavioral levels. 1,8,9 In this review, we define self-regulation as the ability to control inner states or responses with respect to thoughts, emotions, attention, and performance. 6 Thus, our conceptualization of self-regulation could be described as cognitive control and emotion control. Within this conceptualization, we highlight attentional control as the mechanism for early developing self-regulation in both the cognitive and emotional domains. 10 -12 As such, we go beyond the typical focus on relationships between either cognitive functioning or attentional control and consequential emotion regulation 5,7 and provide a more dynamic view of self-regulatory processes. 11 Our focus in this review is on the biological components of developing self-regulation, as the situational and contextual components have been reviewed elsewhere. 6,7 We begin by highlighting the psychobiological framework that we use in conceptualizing regulatory processes. Then we discuss biological mechanisms of selfregulation associated with the development of specific cognitive and emotion behaviors. Because of our focus on psychobiology, we next examine genetic and brain mechanisms of self-regulation processes by integrating the functions associated with central nervous system and autonomic nervous system networks tha...

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“…Hegarty et al 2002), and the power of self-efficacy measures in predicting performance has been demonstrated by an impressive number of studies in various cognitive domains (Bandura, 1997). As for the spatial anxiety questionnaire, several studies have reported significant correlations between anxiety and performance in spatial tasks (Bell and Fox, 2003;Viaud-Delmont, Berthoz and Jouvent, 2002), and suggested a relationship between spatial ability and emotional variables.…”

Section: Introductionmentioning

confidence: 99%

Relationship between spatial ability, visuospatial working memory and self-assessed spatial orientation ability: a study in older adults

et al. 2015

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This paper describes some novel spatial tasks and questionnaires designed to assess spatial and orientation abilities. The new tasks and questionnaires were administered to a sample of 90 older adults (41 males, age range 57–90), along with some other tests of spatial ability (Minnesota Paper Form Board, Mental Rotations Test, and Embedded Figures Test) and tests of visuospatial working memory (Corsi’s Block Test and Visual Pattern Test). The internal reliability of the new tasks and questionnaires was analyzed, as well as their relationship with the spatial and working memory tests. The results showed that the new spatial tasks are reliable, correlate with working memory and spatial ability tests and, compared with the latters, show stronger correlations with the self-report questionnaires referring to orientation abilities. A model was also tested (with reference to Allen et al. in Intelligence 22:327–355, 1996) in which the new tasks were assumed to relate to spatial ability and predict orientation abilities as assessed by the self-report measures

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Cognition and affective style: Individual differences in brain electrical activity during spatial and verbal tasks

Cited by 16 publications

References 54 publications

Emotion and Pain: A Functional Cerebral Systems Integration

Emotion and Pain: A Functional Cerebral Systems Integration

Biological Systems and the Development of Self-Regulation: Integrating Behavior, Genetics, and Psychophysiology

Relationship between spatial ability, visuospatial working memory and self-assessed spatial orientation ability: a study in older adults

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