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Neuroanatomical and cognitive differences have been documented during childhood between children with prenatal opioid- and poly-drug exposure and controls in small samples. We investigated whether these differences persisted in larger samples of youth at older ages. Quantitative MRI and cognitive data were compared between 38 youths in the risk group and 44 youths in the non-exposed group (aged 17 to 22 years) who had been followed prospectively since birth. Most drug-exposed youths (84%) moved to permanent foster or adoptive homes before one year of age. The drug-exposed group displayed smaller neuroanatomical volumes (0.70 SD difference in total brain volume, p = 0.001), smaller cortical surface areas and thinner cortices than the comparison group. The birth weight accounted for some of the intergroup differences. Neuroanatomical characteristics partially mediated group differences in cognitive function. The present study cannot differentiate between causal factors but indicates persistent neurocognitive differences associated with prenatal opioid or poly-drug exposure., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)

What can be expected in normal aging, and where does normal aging stop and pathological neurodegeneration begin? With the slow progression of age-related dementias such as Alzheimer's disease (AD), it is difficult to distinguish age-related changes from effects of undetected disease. We review recent research on changes of the cerebral cortex and the hippocampus in aging and the borders between normal aging and AD. We argue that prominent cortical reductions are evident in fronto-temporal regions in elderly even with low probability of AD, including regions overlapping the default mode network. Importantly, these regions show high levels of amyloid deposition in AD, and are both structurally and functionally vulnerable early in the disease. This normalcy-pathology homology is critical to understand, since aging itself is the major risk factor for sporadic AD. Thus, rather than necessarily reflecting early signs of disease, these changes may be part of normal aging, and may inform on why the aging brain is so much more susceptible to AD than is the younger brain. We suggest that regions characterized by a high degree of life-long plasticity are vulnerable to detrimental effects of normal aging, and that this age-vulnerability renders them more susceptible to additional, pathological AD-related changes. We conclude that it will be difficult to understand AD without understanding why it preferably affects older brains, and that we need a model that accounts for age-related changes in AD-vulnerable regions independently of AD-pathology., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Two distinctly different maturational processes - cortical thinning and white matter maturation - take place in the brain as we mature from late childhood to adulthood. To what extent does each contribute to the development of complex cognitive functions like working memory? The independent and joint contributions of cortical thickness of regions of the left fronto-parietal network and the diffusion characteristics of the connecting pathway of the left superior longitudinal fasciculus (SLF) in accounting for verbal working memory performance were investigated, using a predefined regions of interest-approach. 108 healthy participants aged 8-19 years underwent MRI, including anatomical and diffusion tensor imaging (DTI), as well as cognitive testing using a digit span task. Radial diffusivity of the SLF, as well as cortical thickness of supramarginal gyrus and rostral middle frontal cortex, were negatively related to digit span forwards performance, independently of age. Radial diffusivity of the SLF was also negatively related to digit span backwards. A multi-modal analysis showed that cortical thickness and SLF microstructure were complementary in explaining working memory span. Furthermore, SLF microstructure and cortical thickness had different impact on working memory performance during the developmental period, suggesting a complex developmental interplay. The results indicate that cortical and white matter maturation each play unique roles in the development of working memory., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Distributed brain areas support intellectual abilities in adults. How structural maturation of these areas in childhood enables development of intelligence is not established. Neuroimaging can be used to monitor brain development, but studies to date have typically considered single imaging modalities. To explore the impact of structural brain maturation on the development of intelligence, we used a combination of cortical thickness, white matter (WM) volume and WM microstructure in 168 healthy participants aged 8-30 years. Principal component analyses (PCAs) were conducted separately for cortical thickness, WM volume, fractional anisotropy (FA) and mean diffusivity (MD) in 64 different brain regions. For all four parameters, the PCAs revealed a general factor explaining between 40% and 53% of the variance across regions. When tested separately, negative age-independent relationships were found between intellectual abilities and cortical thickness and MD, respectively, while WM volume and FA were positively associated with intellectual abilities. The relationships between intellectual abilities and brain structure varied with age, with stronger relationships seen in children and adolescents than in young adults. Multiple regression analysis with the different imaging measures as simultaneous predictors, showed that cortical thickness, WM volume and MD all yielded unique information in explaining intellectual abilities in development. The present study demonstrates that different imaging modalities and measures give complementary information about the neural substrates of intellectual abilities in development, emphasizing the importance of multimodal imaging in investigations of neurocognitive development., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

A range of cognitive abilities improves in childhood and adolescence. It has been proposed that the protracted development of executive functions is related to the relatively late maturation of the prefrontal cortex. However, this has rarely been directly investigated. In this cross-sectional study, 98 healthy children and adolescents (8-19 years old) were tested with six tasks considered to index three frequently postulated executive functions; updating (Keep track and Letter memory), inhibition (Antisaccade and Stroop) and shifting (Plus minus and Trail making). Task performance was then related to magnetic resonance imaging (MRI) measures of cortical thickness. The behavioral results did not indicate any clear organization of the executive function measures in the domains updating, inhibition and shifting. Limitations associated with the use of speed-based scores from the tasks considered to index shifting ability were also indicated. Independently of the effects of age, performance on the Keep track task was associated with thinner cortex bilaterally in clusters encompassing parietal and frontal regions, including the left inferior frontal gyrus, while performance on the Antisaccade task was associated with thinner cortex bilaterally in occipital and parietal regions. Further, levels of performance on the Antisaccade and Stroop tasks were related to estimated rates of cortical maturation in posterior brain regions, but not in the prefrontal cortex. The results from the present study add to previous knowledge about the cortical correlates of executive functions by indicating an important role of posterior cerebral areas in executive development., (Copyright (c) 2010 Elsevier Ltd. All rights reserved.)

Information processing speed is a central concept in cognitive psychology and neuropsychology. Previous studies have mostly focused on mean reaction time (RT), and largely ignored intra-individual differences (the standard deviation of the RT: sdRT). Still, intra-individual inconsistency across trials has been shown to correlate with age, neurological disorders, intelligence, and performance on cognitive tests. However, sdRT has not been correlated with neuroanatomical variables. Such knowledge is important to the understanding of the neurobiological foundation for intra-individual variability. In the present study, white matter (WM) and cortical gray matter (GM) volume obtained from the average of two MR scans of 71 healthy participants (aged 20-88 years) were correlated with sdRT and mean RT obtained from a 3-stimulus visual oddball task. Negative correlations were hypothesized between sdRT and WM and between mean RT and cortical GM volume. These hypotheses were confirmed. The correlation between sdRT and WM volume was significant also independently of effects of age, gender, and mean RT, while there was a trend towards a significant correlation (p=.085) between cortical GM volume and mean RT independently of age. A path model was constructed, showing that age and sdRT gave independent contributions to the variance in performance intelligence, and that WM volume predicted performance score through the influence of sdRT. Further, sdRT was a stronger predictor of performance intelligence than mean RT. It is concluded that sdRT and mean RT may have different neuroanatomical correlates, and that sdRT is related to WM characteristics of the brain.

The rationale for the present study was to investigate the relationship between cortical volume, the latency of the ERP component P3a (as a measure of speed-of-processing), and performance intelligence (not adjusted for age differences). Seventy-one participants aged 20-88 years underwent a visual 3-stimuli oddball ERP task, an MRI-scan, and intelligence testing. P3a latency and cortical volume shared 9% variance (p<.05) and both were significantly related to performance intelligence (R2=.26 and .40, respectively). The amount of explained variance increased significantly (to R2=.51) when both measures were used as simultaneous predictors. When a path diagram was constructed including age as an exogenous variable, P3a latency and cortical volume both significantly predicted performance intelligence, but were no longer related to one another. The main conclusion from the study is that speed and size are complementary in prediction of performance intelligence, and the theoretical implications are discussed.