title: An "integrative neuroscience" platform: application to profiles of negativity and positivity bias.
abstract: The aim of the paper is to describe a standardized "Integrative Neuroscience" Platform that can be applied to elucidate brain-body mechanisms. This infrastructure includes a theoretical integration (the INTEGRATE Model). To demonstrate this infrastructure, hypotheses from the INTEGRATE Model are applied in an example investigation of the cognitive, brain and body markers of individual differences in the trait characteristic of Negativity Bias (the tendency to see oneself and one's world as negative). A sample of 270 healthy participants (18-65 years old) were grouped into equal sized matched subsets of high "Negativity Bias" and high "Positivity Bias" (n = 135 in each group). Participants were assessed using a standardized battery of psychological traits, cognition and brain and body (autonomic) activity. Greater "Negativity Bias" relative to "Positivity Bias" was characterized by greater autonomic reactivity and early neural excitation to signals of potential danger, at the timescale of Emotion (< 200 ms). Concomitantly, there was a relatively lower level of "Thinking", reflected in cognitive dimensions and associated electrical brain measures of working memory and EEG Theta power. By contrast, Negativity and Positivity Bias did not differ in levels of emotional resilience and social skills at the longer time scale of Self Regulation. This paper provides a demonstration of how an Integrative Neuroscience infrastructure can be used to elucidate the brain-body basis of trait characteristics, such as Negativity Bias, that are key indicators of risk for poor well-being and psychopathology.
authors.affiliation: Brain Resource International Database, Brain Resource Company, Australia.
authors.forename: Evian
authors.initials: E
authors.lastname: Gordon
authors.forename: Kylie J
authors.initials: KJ
authors.lastname: Barnett
authors.forename: Nicholas J
authors.initials: NJ
authors.lastname: Cooper
authors.forename: Ngoc
authors.initials: N
authors.lastname: Tran
authors.forename: Leanne M
authors.initials: LM
authors.lastname: Williams
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D001341:Autonomic Nervous System / Q000502:physiology; D015982:Bias; D001921:Brain / Q000166:cytology / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D016208:Databases, Factual; D004569:Electroencephalography; D004576:Electromyography; D004644:Emotions / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology; D009488:Neurosciences / Q000592:standards*; D017711:Nonlinear Dynamics; D013850:Thinking / Q000502:physiology; D055815:Young Adult