Orbitofrontal correlates of aggression and impulsivity in psychiatric patients

Antonucci, Ami S.; Gansler, David A.; Tan, Simon; Bhadelia, Rafeeque A.; Patz, Samuel; Fulwiler, Carl E.

doi:10.1016/j.pscychresns.2005.05.016

Cited by 66 publications

(52 citation statements)

References 25 publications

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“…Antonucci et al (2006] also identified a positive relationship between aggression scores and asymmetry of left and right OFC volumes, i.e., right larger than left in patients with mood disorders and between impulsivity scores and total OFC volumes. We discussed the possibility that the OFC may play a regulatory role in aggression and a generative role in impulsivity.…”

Section: Discussionmentioning

confidence: 79%

“…In a morphometry study of psychiatric patients, those with major depressive disorder (MDD), alcoholism, ADHD, PTSD, antisocial personality disorder or bipolar disorder showed positive correlations between left, right, and total OFC gray matter volumes and BIS motor impulsivity scores [Antonucci et al, 2006]. Antonucci et al (2006] also identified a positive relationship between aggression scores and asymmetry of left and right OFC volumes, i.e., right larger than left in patients with mood disorders and between impulsivity scores and total OFC volumes.…”

Section: Discussionmentioning

confidence: 99%

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A voxel‐based morphometry study of frontal gray matter correlates of impulsivity

Matsuo

Nicoletti²,

Nemoto

et al. 2008

Human Brain Mapping

230

195

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Impulsivity is a personality trait exhibited by healthy individuals, but excessive impulsivity is associated with some mental disorders. Lesion and functional neuroimaging studies indicate that the ventromedial prefrontal region (VMPFC), including the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC) and medial prefrontal cortex, and the amygdala may modulate impulsivity and aggression. However, no morphometric study has examined the association between VMPFC and impulsivity. We hypothesized that healthy subjects with high impulsivity would have smaller volumes in these brain regions compared with those with low impulsivity. Sixty-two healthy subjects were studied (age 35.4 +/- 12.1 years) using a 1.5-T MRI system. The Barratt impulsiveness scale (BIS) was used to assess impulsivity. Images were processed using an optimized voxel-based morphometry (VBM) protocol. We calculated the correlations between BIS scale scores and the gray matter (GM) and white matter (WM) volumes of VMPFC and amygdala. GM volumes of the left and right OFC were inversely correlated with the BIS total score (P = 0.04 and 0.02, respectively). Left ACC GM volumes had a tendency to be inversely correlated with the BIS total score (P = 0.05). Right OFC GM volumes were inversely correlated with BIS nonplanning impulsivity, and left OFC GM volumes were inversely correlated with motor impulsivity. There were no significant WM volume correlations with impulsivity. The results of this morphometry study indicate that small OFC volume relate to high impulsivity and extend the prior finding that the VMPFC is involved in the circuit modulating impulsivity.

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Section: Discussionmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 99%

A voxel‐based morphometry study of frontal gray matter correlates of impulsivity

Matsuo

Nicoletti²,

Nemoto

et al. 2008

Human Brain Mapping

230

195

View full text Add to dashboard Cite

show abstract

“…Nevertheless, previous work supports the prediction that negative feedback should have a small influence on behavior in impulsive individuals. For instance, individuals with orbital frontal damage, who are often described as impulsive (Antonucci et al, 2006), show impaired ability to learn from negative feedback in the PST (Wheeler & Fellows, 2008), suggesting dysregulated top-down control over basal ganglia no-go pathway. This idea is further supported by the finding that deep brain stimulation of the subthalamic nucleus, which reduces coupling between cognitive control regions (anterior cingulate cortex) and basal ganglia output, results in impulsive decision making (Frank et al, 2007c, d).…”

Section: Substance Dependence and Personalitymentioning

confidence: 99%

Constraints on decision making: Implications from genetics, personality, and addiction

Baker

Stockwell

Holroyd

2013

Cogn Affect Behav Neurosci

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An influential neurocomputational theory of the biological mechanisms of decision making, the "basal ganglia go/no-go model," holds that individual variability in decision making is determined by differences in the makeup of a striatal system for approach and avoidance learning. The model has been tested empirically with the probabilistic selection task (PST), which determines whether individuals learn better from positive or negative feedback. In accordance with the model, in the present study we examined whether an individual's ability to learn from positive and negative reinforcement can be predicted by genetic factors related to the midbrain dopamine system. We also asked whether psychiatric and personality factors related to substance dependence and dopamine affect PST performance. Although we found characteristics that predicted individual differences in approach versus avoidance learning, these observations were qualified by additional findings that appear inconsistent with the predictions of the go/no-go model. These results highlight a need for future research to validate the PST as a measure of basal ganglia reward learning. Keywords Individual differences . Addiction . Personality . Midbrain dopamine system . Basal ganglia . Reinforcement learning . Decision making . Probabilistic selection task Neuroimaging studies reveal that normal performance on decision making tasks is associated with widespread activations of the basal ganglia, midbrain dopamine system, and connected structures. These neural pathways are integral components of complex functional neuroanatomical loops underlying reinforcement learning and decision-making that appear critical for several cognitive, motor, and emotional Seeberger, & O'Reilly, 2004;Maia & Frank, 2011; Moustafa, Cohen, Sherman, & Frank, 2008; Moustafa, Sherman, & Frank, 2008;Solomon, Smith, Frank, Ly, & Carter, 2011;Steele, Kumar, & Ebmeier, 2007;Waltz, Frank, Robinson, & Gold, 2007;Waltz, Frank, Wiecki, & Gold, 2011;Wiecki & Frank, 2010) are associated with biases in basal ganglia function in such tasks, reflecting idiosyncratic differences in our abilities to learn and make choices. Yet the neural mechanisms that underlie individual differences in decision making remain poorly understood.According to an influential neurocomputational model of decision making, "the basal ganglia go/no-go model," dopaminergic signaling in the basal ganglia facilitates or suppresses action representations during reinforcement learning tasks: Phasic bursts of dopamine activity facilitate reward learning by reinforcing striatal connections that express D1 receptors (the "go/approach" pathway), whereas phasic dips in dopamine activity facilitate avoidance learning by reinforcing striatal connections that express D2 receptors (the "no-go/avoidance" pathway; Frank et al., 2004). Empirically, the model predictions are typically tested with the probabilistic selection task (PST), a trial-and-error learning task in which participants are required to learn three concurrent discrimi...

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“…Although few studies examining brain structure and behavior have tested for asymmetry using appropriate statistical methods, there is some evidence that structural asymmetries in the OFC and ACC favoring the left hemisphere are associated with the regulation of affective behavior (22), and risk for psychopathology (23).…”

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confidence: 99%

Prefrontal and amygdala volumes are related to adolescents' affective behaviors during parent–adolescent interactions

Whittle

Yap

Yücel

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

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Adolescence is a key period for the development of brain circuits underlying affective and behavioral regulation. It remains unclear, however, whether and how adolescent brain structure influences day-to-day affective behavior. Because of significant changes in the nature of family relations that also typically occur during adolescence, parent-child interactions provide a meaningful context where affective behavior and its regulation may be assessed. In a sample of 137 early adolescents, we investigated the relationship between aspects of the adolescents' brain structure and their affective behavior as assessed during observation of parent-child interactions. We found a significant positive association between volume of the amygdala and the duration of adolescent aggressive behavior during these interactions. We also found male-specific associations between the volume of prefrontal structures and affective behavior, with decreased leftward anterior paralimbic cortex volume asymmetry associated with increased duration of aggressive behavior, and decreased leftward orbitofrontal cortex volume asymmetry associated with increased reciprocity of dysphoric behavior. These findings suggest that adolescent brain structure is associated with affective behavior and its regulation in the context of family interactions, and that there may be gender differences in the neural mechanisms underlying affective and behavioral regulation during early adolescence. Particularly as adolescence marks a period of rapid brain maturation, our findings have implications for mental health outcomes that may be revealed later along the developmental trajectory.emotion ͉ family interactions ͉ neuroimaging ͉ structural MRI ͉ gender differences A growing body of evidence suggests that early adolescence marks entry into a period of substantial neurobiological change, with significant effects on cognitive, social, and emotional development (1). More specifically, it has been proposed that adolescence involves a shift from greater limbic to prefrontal cortical (PFC) control of behavior, with an increase in the inhibitory connections between these two regions (2). These neural changes are believed to underlie a shift from behavior that is driven by affective impulses to more regulated behavior that is guided by consideration of future personal and social consequences (3). Such changes mark adolescence as a critical period during which to examine the neural contributions to affective behavior, particularly emotion regulation.During adolescence, significant changes also begin to occur in the nature of family relations. One of the primary developmental tasks for families of adolescents is renegotiating the balance between child and parent input with regard to family and personal decision-making and adolescent autonomy (4, 5). Renegotiating this balance often results in disagreement and potential conflict, in part because the adolescent's capacity for affective and behavioral regulation has not reached maturity. Presumably, individual differences in ad...

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Orbitofrontal correlates of aggression and impulsivity in psychiatric patients

Cited by 66 publications

References 25 publications

A voxel‐based morphometry study of frontal gray matter correlates of impulsivity

A voxel‐based morphometry study of frontal gray matter correlates of impulsivity

Constraints on decision making: Implications from genetics, personality, and addiction

Prefrontal and amygdala volumes are related to adolescents' affective behaviors during parent–adolescent interactions

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