2011
DOI: 10.1007/7854_2011_182
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Toward a Mechanistic Understanding of How Variability in Neurobiology Shapes Individual Differences in Behavior

Abstract: Research has begun to identify how variability in brain function contributes to individual differences in complex behavioral traits. Examining variability in molecular signaling pathways with emerging and established methodologies such as pharmacologic fMRI, multimodal PET/fMRI, and hormonal assays are beginning to provide a mechanistic understanding of how individual differences in brain function arise. Against this background, functional genetic polymorphisms are being utilized to understand the origins of v… Show more

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Cited by 6 publications
(5 citation statements)
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“…Overall, to the extent DA is considered a key agent subserving “signal fidelity” (Bäckman et al, 2010, 2006; Li et al, 2001) that provides a neurochemical basis for signal dynamics to emerge, the use of signal variability measures in any DA-relevant area of research is warranted (e.g., decision making/reward/learning/response vigor (Dayan and Walton, 2012; Doya, 2008; Montague et al, 2004; Niv et al, 2007; Niv and Schoenbaum, 2008); impulsivity/addiction (Bogdan et al, 2012; Hariri, 2009); working memory/cognitive control (Bäckman et al, 2010, 2006; Cools and D’Esposito, 2011); cognitive training (Bäckman et al, 2011; Bäckman et al, 2010)). The relevance of signal variability measures in schizophrenia research (see above, Fernandez et al, 2012), and the purported role of abnormal DA dynamics in this patient group, further motivates the examination of DA-signal variability links in clinical conditions.…”
Section: Potential Issues Preliminary Solutions and Future Direcmentioning
confidence: 99%
“…Overall, to the extent DA is considered a key agent subserving “signal fidelity” (Bäckman et al, 2010, 2006; Li et al, 2001) that provides a neurochemical basis for signal dynamics to emerge, the use of signal variability measures in any DA-relevant area of research is warranted (e.g., decision making/reward/learning/response vigor (Dayan and Walton, 2012; Doya, 2008; Montague et al, 2004; Niv et al, 2007; Niv and Schoenbaum, 2008); impulsivity/addiction (Bogdan et al, 2012; Hariri, 2009); working memory/cognitive control (Bäckman et al, 2010, 2006; Cools and D’Esposito, 2011); cognitive training (Bäckman et al, 2011; Bäckman et al, 2010)). The relevance of signal variability measures in schizophrenia research (see above, Fernandez et al, 2012), and the purported role of abnormal DA dynamics in this patient group, further motivates the examination of DA-signal variability links in clinical conditions.…”
Section: Potential Issues Preliminary Solutions and Future Direcmentioning
confidence: 99%
“…Several studies have now addressed the relationship between dopamine-related polymorphisms and drug-cue induced neural activation and/or drug-related behaviors (Bogdan et al, 2012; Dagher and Robbins, 2009; Foll et al, 2009; Kreek et al, 2005; McClernon et al, 2007; Noble, 2000). Many, though not all (e.g., Guindalini et al, 2008) of these studies find that polymorphisms thought to produce elevated dopamine signaling are associated with greater drug cue-induced brain activity, and behavioral measures such as drug anticipation and/or craving, and drug use.…”
Section: Dopamine Regulates Drug-cue Responsivity In Humansmentioning
confidence: 99%
“…Many, though not all (e.g., Guindalini et al, 2008) of these studies find that polymorphisms thought to produce elevated dopamine signaling are associated with greater drug cue-induced brain activity, and behavioral measures such as drug anticipation and/or craving, and drug use. Some of the strongest relationships between variation in dopamine-related genes and reward-related brain activity have been found when researchers analyzed multilocus genetic profiles, which consider the cumulative impact of multiple polymorphisms (Bogdan et al, 2012; Nikolova et al, 2011; Stice et al, 2012). People with multiple allelic variants that either increase or decrease dopamine activity tend to have the greatest or least cue-related neural activity, respectively.…”
Section: Dopamine Regulates Drug-cue Responsivity In Humansmentioning
confidence: 99%
“…It has been previously observed that there are complex, bidirectional relationships between various levels of biological functioning (e.g., gene expression and cellular, endocrine, and neural functioning; Gottlieb, 2007 ). As hormones influence behavior via modulation of neural systems that directly control behavior ( Bogdan et al, 2012 ), integrating neuroimaging and neuroendocrine work will be needed to understand the relationship between hormones and antisocial behavior. In line with this idea, it has been argued that the role of hormones, specifically testosterone and cortisol, in influencing antisocial behavior can best be understood in terms of how these hormones modulate the functional connectivity between amygdala and prefrontal cortex ( Rosell and Siever, 2015 ).…”
Section: The Neurobiology Of Antisocial Behavior and Developmental Co...mentioning
confidence: 99%
“…Finally, there is a pressing need to integrate the hormone, behavior, and the neuroimaging literature in at least two ways. First, because hormones do not directly influence behavior, but instead modulate the neural systems that control behavior ( Bogdan et al, 2012 ), designing experiments that directly measure data at all three levels will provide a much clearer picture of the factors driving antisocial behavior. Second, given the role that hormones play in brain development, both in puberty and beyond, hormones may be a better metric for development than measures of primary and secondary sex characteristics.…”
Section: Summary Of the Neurobiology Of Antisocial Behavior And Devel...mentioning
confidence: 99%