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Abstract
<p id="P1">Substance use disorders (SUD) can be considered developmental disorders
in light of
their frequent origins in substance initiation during adolescence. Cross-sectional
functional magnetic resonance imaging (fMRI) studies of adolescent substance users
or adolescents with SUD have indicated aberrations in brain structures or circuits
implicated in motivation, self-control, and mood-regulation. However, attributing
these differences to the neurotoxicological effects of chronic substance use has been
problematic in that these circuits are also aberrant in at-risk children, such as
those with prenatal substance exposure, externalizing disorders (such as conduct disorder),
or prodromal internalizing disorders such as depression. To better isolate the effects
of substance exposure on the adolescent brain, the newly-launched Adolescent Brain
Cognitive Development (ABCD) study, funded by the National Institutes of Health, will
follow the neurodevelopmental trajectories of over 11,000 American 9/10-year-olds
for 10 years, into emerging adulthood. This study will provide a rich open-access
dataset on longitudinal interactions of neurodevelopment, environmental exposures,
and childhood psychopathology that confer addiction risk. The ABCD twin study will
further clarify genetic versus experiential influences (e.g., substance use) on neurodevelopmental
and psychosocial outcomes. Neurocircuitry thought to regulate mood and behavior has
been directly normalized by administration of psychoactive medications and by cognitive
therapies in adults. Because of this, we contend that ABCD project data will be a
crucial resource for prevention and treatment of SUD in adolescence because its cutting-edge
neuroimaging and childhood assessments hold potential for discovery of additional
targetable brain differences earlier in development that are prognostic of (or aberrant
in) SUD. The ABCD sample size will also have the power to illuminate how sex differences,
environmental interactions and other individual differences interact with neurodevelopment
to inform treatment in different groups of adolescents.
</p>
Classic cognitive theory conceptualizes executive functions as involving multiple specific domains, including initiation, inhibition, working memory, flexibility, planning, and vigilance. Lesion and neuroimaging experiments over the past two decades have suggested that both common and unique processes contribute to executive functions during higher cognition. It has been suggested that a superordinate fronto-cingulo-parietal network supporting cognitive control may also underlie a range of distinct executive functions. To test this hypothesis in the largest sample to date, we used quantitative meta-analytic methods to analyze 193 functional neuroimaging studies of 2,832 healthy individuals, ages 18-60, in which performance on executive function measures was contrasted with an active control condition. A common pattern of activation was observed in the prefrontal, dorsal anterior cingulate, and parietal cortices across executive function domains, supporting the idea that executive functions are supported by a superordinate cognitive control network. However, domain-specific analyses showed some variation in the recruitment of anterior prefrontal cortex, anterior and midcingulate regions, and unique subcortical regions such as the basal ganglia and cerebellum. These results are consistent with the existence of a superordinate cognitive control network in the brain, involving dorsolateral prefrontal, anterior cingulate, and parietal cortices, that supports a broad range of executive functions.
Every day, individuals make dozens of choices between an alternative with higher overall value and a more tempting but ultimately inferior option. Optimal decision-making requires self-control. We propose two hypotheses about the neurobiology of self-control: (i) Goal-directed decisions have their basis in a common value signal encoded in ventromedial prefrontal cortex (vmPFC), and (ii) exercising self-control involves the modulation of this value signal by dorsolateral prefrontal cortex (DLPFC). We used functional magnetic resonance imaging to monitor brain activity while dieters engaged in real decisions about food consumption. Activity in vmPFC was correlated with goal values regardless of the amount of self-control. It incorporated both taste and health in self-controllers but only taste in non-self-controllers. Activity in DLPFC increased when subjects exercised self-control and correlated with activity in vmPFC.
Executive functions (EFs) are high-level cognitive processes, often associated with the frontal lobes, that control lower level processes in the service of goal-directed behavior. They include abilities such as response inhibition, interference control, working memory updating, and set shifting. EFs show a general pattern of shared but distinct functions, a pattern described as "unity and diversity". We review studies of EF unity and diversity at the behavioral and genetic levels, focusing on studies of normal individual differences and what they reveal about the functional organization of these cognitive abilities. In particular, we review evidence that across multiple ages and populations, commonly studied EFs (a) are robustly correlated but separable when measured with latent variables; (b) are not the same as general intelligence or g; (c) are highly heritable at the latent level and seemingly also highly polygenic; and (d) activate both common and specific neural areas and can be linked to individual differences in neural activation, volume, and connectivity. We highlight how considering individual differences at the behavioral and neural levels can add considerable insight to the investigation of the functional organization of the brain, and conclude with some key points about individual differences to consider when interpreting neuropsychological patterns of dissociation.
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