Convergent neurobiological predictors of emergent psychopathology during adolescence

Jones, Scott A.; Morales, Angelica M.; Lavine, Jessye B.; Nagel, Bonnie J.

doi:10.1002/bdr2.1176

Cited by 29 publications

(24 citation statements)

References 77 publications

(136 reference statements)

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“…increase in anxiety, depression, or other avoidance or withdrawal behaviors. Some have suggested that reduced volume and cortical thickness in frontolimbic regions may serve as a neurobiological predictors of emergent internalizing psychopathology in adolescence (Jones et al, 2017). However, others have observed delayed thinning in the ventromedial prefrontal cortex in high anxious children (Newman et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

et al. 2019

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The adolescent brain undergoes profound structural changes which is influenced by many factors. Screen media activity (SMA; e.g., watching television or videos, playing video games, or using social media) is a common recreational activity in children and adolescents; however, its effect on brain structure is not well understood. A multivariate approach with the first cross-sectional data release from the Adolescent Brain Cognitive Development (ABCD) study was used to test the maturational coupling hypothesis, i.e. the notion that coordinated patterns of structural change related to specific behaviors. Moreover, the utility of this approach was tested by determining the association between these structural correlation networks and psychopathology or cognition. ABCD participants with usable structural imaging and SMA data (N=4277 of 4524) were subjected to a Group Factor Analysis (GFA) to identify latent variables that relate SMA to cortical thickness, sulcal depth, and gray matter volume. Subject scores from these latent variables were used in generalized linear mixed-effect models to investigate associations between SMA and internalizing and externalizing psychopathology, as well as fluid and crystalized intelligence. Four SMA-related GFAs explained 37% of the variance between SMA and structural brain indices. SMA-related GFAs correlated with brain areas that support homologous functions. Some but not all SMA-related factors corresponded with higher externalizing (Cohen’s d effect size (ES) 0.06–0.1) but not internalizing psychopathology and lower crystalized (ES: 0.08–0.1) and fluid intelligence (ES: 0.04–0.09). Taken together, these findings support the notion of SMA related maturational coupling or structural correlation networks in the brain and provides evidence that individual differences of these networks have mixed consequences for psychopathology and cognitive performance.

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Section: Discussionmentioning

confidence: 99%

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

et al. 2019

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“…For example, delays in maturation associated with drug exposure, genetics, or social environment, may increase risky behaviors in adolescents 72 . Brain imaging studies have found altered structure of prefrontal cortices associated with higher risk for SUD in adolescents 73 , suggesting that control executive functions such as decision making and impulse control (inhibition) are immature 74 . Unfortunately, the neurobiological underpinnings of neuroadaptations for both functional development and SUD, are not fully understood, in part, by a high variability in VBM results 75 .…”

Section: Limitations and Future Perspectivesmentioning

confidence: 99%

Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis

et al. 2021

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Substance use disorders (SUDs) are characterized by a compulsion to seek and consume one or more substances of abuse, with a perceived loss of control and a negative emotional state. Prolonged substance use seems to be associated with morphological changes of multiple neural circuits, in particular the frontal–striatal and limbic pathways. Such neuroadaptations are evident across several substance disorders, but may vary depending on the type of substance, consumption severity and/or other unknown factors. We therefore identified studies investigating the effects of SUDs using volumetric whole-brain voxel-based morphometry (VBM) in gray (GM) and white matter (WM). We performed a systematic review and meta-analysis of VBM studies using the anatomic likelihood estimation (ALE) method implemented in GingerALE (PROSPERO pre-registration CRD42017071222). Sixty studies met inclusion criteria and were included in the final quantitative meta-analysis, with a total of 614 foci, 94 experiments and 4938 participants. We found convergence and divergence in brain regions and volume effects (higher vs. lower volume) in GM and WM depending on the severity of the consumption pattern and type of substance used. Convergent pathology was evident across substances in GM of the insula, anterior cingulate cortex, putamen, and thalamus, and in WM of the thalamic radiation and internal capsule bundle. Divergent pathology between occasional use (cortical pathology) and addiction (cortical-subcortical pathology) provides evidence of a possible top-down neuroadaptation. Our findings indicate particular brain morphometry alterations in SUDs, which may inform our understanding of disease progression and ultimately therapeutic approaches.

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“…For example, delays in maturation associated with drug exposure, genetics, or social environment, may increase risky behaviors in adolescents 67 . Brain imaging studies have found altered structure of prefrontal cortices associated with higher risk for SUD in adolescents 68 , suggesting that control executive functions such as decision making and impulse control (inhibition) are immature 69 . Unfortunately, the neurobiological underpinnings of neuroadaptations for both functional development and SUD, are not fully understood, in part, by a high variability in VBM results 70 .…”

Section: Limitationsmentioning

confidence: 99%

Gray and white matter morphology in substance use disorders: A neuroimaging systematic review and meta-analysis

Pando‐Naude

Toxto

Fernandez‐Lozano

et al. 2020

Preprint

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Substance use disorders (SUDs) are characterized by a compulsion to seek and consume one or more substances of abuse, with a perceived loss of control and negative emotional state. Repeated use of a substance results in synaptic and morphological changes, secondary to toxicity and SUD pathology in the dopamine striato-thalamo-cortical and limbic pathways. These neuroadaptations seem to vary between studies, which could be related to divergent effects of substances, consumption severity or other unknown factors. We therefore identified studies investigating the effects of SUDs using volumetric whole-brain voxel-based morphometry (VBM) in gray (GM) and white matter (WM). We performed a systematic review and meta-analysis of VBM studies using the anatomic likelihood estimation (ALE) method implemented in GingerALE (PROSPERO pre-registration CRD42017071222). Fifty studies met inclusion criteria and were included in the final quantitative meta-analysis, with a total of 538 foci, 88 experiments and 4370 participants. We found convergence and divergence in brain regions and volume effects (higher vs lower volume) in GM and WM depending on the severity of consumption pattern and type of substance. Convergent pathology was evident across substances in GM of the insula, anterior cingulate cortex, putamen, and thalamus, and in WM of the thalamic radiation and internal capsule bundle. Divergent pathology between occasional use (cortical pathology) and addiction (cortical-subcortical pathology) provides evidence of a possible top-down neuroadaptation. Our findings indicate distinctive brain morphometry alterations in SUDs, which may inform our understanding of disease progression and ultimately therapeutic approaches.MANUSCRIPT Pando-Naude, Victor Garza-Villarreal, Eduardo A.MANUSCRIPT Pando-Naude, Victor Garza-Villarreal, Eduardo A. 5 terms for articles published to the end of July 2018. No restrictions were placed on study design, but in order to be eligible for inclusion, the studies must have reported whole-brain VBM analyses. Screening and data extraction were performed using the Covidence tool 31 . The main outcome to extract was any change in gray and/or white matter analyzed using VBM, in stereotactic coordinates, comparing a substance user group and a healthy control group (details in Supplementary information). Quality assessment of MRI studies.Criteria for MRI quality reporting was selected from a set of guidelines for the standardized reporting of MRI studies [32][33][34] . Such guidelines dictate a more consistent and coherent policy for the reporting of MRI methods to ensure that methods can be understood and replicated. Analysis and meta-analytic technique.Statistically significant foci from between-group contrasts were extracted and recorded for each study. If necessary, coordinates were converted from Talairach coordinates to MNI space using the Lancaster transform (icbm2tal) incorporated in GingerALE (www.brainmap.org/). All metaanalyses were performed using anatomic likelihood estimation (ALE), implemented ...

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Convergent neurobiological predictors of emergent psychopathology during adolescence

Cited by 29 publications

References 77 publications

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis

Gray and white matter morphology in substance use disorders: A neuroimaging systematic review and meta-analysis

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