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      Early developmental emergence of human amygdala–prefrontal connectivity after maternal deprivation

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          Early adversity has profound and lasting effects on neurodevelopment and emotional behavior. Under typical environmental conditions, prefrontal cortex connections with the amygdala are immature during childhood and become adult-like during adolescence. Rodent models show that maternal deprivation accelerates this development as an ontogenetic adaptation to adversity. Here, we demonstrate that, as in the rodent, children who experienced early maternal deprivation exhibit early emergence of mature amygdala–prefrontal connectivity. Evidence suggests that the adult-like neural phenotype, which is mediated by cortisol levels, confers some degree of enhanced emotion regulation, as maternally deprived youths with adult-like phenotypes are less anxious than their counterparts with immature phenotypes. Accelerated amygdala–prefrontal development may serve as an ontogenetic adaptation in the human in response to early adversity.

          Abstract

          Under typical conditions, medial prefrontal cortex (mPFC) connections with the amygdala are immature during childhood and become adult-like during adolescence. Rodent models show that maternal deprivation accelerates this development, prompting examination of human amygdala–mPFC phenotypes following maternal deprivation. Previously institutionalized youths, who experienced early maternal deprivation, exhibited atypical amygdala–mPFC connectivity. Specifically, unlike the immature connectivity (positive amygdala–mPFC coupling) of comparison children, children with a history of early adversity evidenced mature connectivity (negative amygdala–mPFC coupling) and thus, resembled the adolescent phenotype. This connectivity pattern was mediated by the hormone cortisol, suggesting that stress-induced modifications of the hypothalamic–pituitary–adrenal axis shape amygdala–mPFC circuitry. Despite being age-atypical, negative amygdala–mPFC coupling conferred some degree of reduced anxiety, although anxiety was still significantly higher in the previously institutionalized group. These findings suggest that accelerated amygdala–mPFC development is an ontogenetic adaptation in response to early adversity.

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          Most cited references68

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          AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages

          A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described. The software can color overlay neural activation maps onto higher resolution anatomical scans. Slices in each cardinal plane can be viewed simultaneously. Manual placement of markers on anatomical landmarks allows transformation of anatomical and functional scans into stereotaxic (Talairach-Tournoux) coordinates. The techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described. Facilities are provided for several types of statistical analyses of multiple 3D functional data sets. The programs are written in ANSI C and Motif 1.2 to run on Unix workstations.
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            The Screen for Child Anxiety Related Emotional Disorders (SCARED): scale construction and psychometric characteristics.

            To develop a reliable and valid child and parent self-report instrument to screen children with anxiety disorders. An 85-item questionnaire was administered to 341 outpatient children and adolescents and 300 parents. Utilizing item analyses and factor analyses, the original scale was reduced to 38 items. A subsample of children (n = 88) and parents (n = 86) was retested an average of 5 weeks (4 days to 15 weeks after the initial screening. The child and parent Screen for Child Anxiety Related Emotional Disorders (SCARED) both yielded five factors: somatic/panic, general anxiety, separation anxiety, social phobia For the total score and each of the five factors, both the child and parent SCARED demonstrated good internal consistency (alpha = .74 to .93), test-retest reliability (intraclass correlation coefficients = .70 to .90), discriminative validity (both between anxiety and other disorders and within anxiety disorders), and moderate parent-child agreement (r = .20 to .47, p < .001, all correlations). The SCARED shows promise as a screening instrument for anxiety disorders. Future studies using the SCARED in community samples are indicated.
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              Circular analysis in systems neuroscience: the dangers of double dipping.

              A neuroscientific experiment typically generates a large amount of data, of which only a small fraction is analyzed in detail and presented in a publication. However, selection among noisy measurements can render circular an otherwise appropriate analysis and invalidate results. Here we argue that systems neuroscience needs to adjust some widespread practices to avoid the circularity that can arise from selection. In particular, 'double dipping', the use of the same dataset for selection and selective analysis, will give distorted descriptive statistics and invalid statistical inference whenever the results statistics are not inherently independent of the selection criteria under the null hypothesis. To demonstrate the problem, we apply widely used analyses to noise data known to not contain the experimental effects in question. Spurious effects can appear in the context of both univariate activation analysis and multivariate pattern-information analysis. We suggest a policy for avoiding circularity.

                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc. Natl. Acad. Sci. U.S.A.
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                September 24 2013
                September 09 2013
                September 24 2013
                : 110
                : 39
                : 15638-15643
                Affiliations
                [1 ]Departments of aPsychology and
                [2 ]Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL 61820; and
                [3 ]Department of Economics, University of Zurich, CH-8006 Zurich, Switzerland
                [4 ]Psychiatry and Biobehavioral Services, University of California, Los Angeles, CA 90095;
                Article
                10.1073/pnas.1307893110
                3785723
                24019460
                278ebb28-df15-4661-ad6f-4295cb2faef9
                © 2013
                History

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