The neurobiological correlates of cognitive outcomes in adolescence and adulthood following very preterm birth
Introduction
Individuals who were born very preterm (<33 weeks of gestation) are at increased risk of experiencing long-term cognitive difficulties, encompassing executive function and general intelligence, compared to those born at term [[1], [2], [3]] Difficulties in these domains have been associated with real-life achievements in adulthood, including less satisfactory social relationships and lower academic and economic attainments [1], [4].
The exact mechanisms underlying the cognitive sequelae associated with very preterm birth are poorly understood, but they are likely to involve impaired neurodevelopment, as the immature nervous system is vulnerable to exogenous and endogenous insults during the third trimester of gestation, due to its rapidly developing and complex characteristics [5]. Several studies have documented neurobiological alterations in very preterm neonates in brain regions and networks involved in high-order cognitive processes, that have been particularly clearly defined in the thalamocortical tracts [6] and have been shown to predict later neurocognitive function [6,7]. Similar patterns of alterations have been also described in adult survivors of very preterm birth and may at least partly account for their long-term cognitive difficulties [[8], [9], [10], [11]]. Hence, there is an urgent need for research that can aid early identification of the neuroimaging signatures that could identify sub-groups of individuals who are at risk of cognitive sequelae, as these could guide the development and implementation of targeted neurobehaviourally-informed interventions early in life.
In this review we will discuss the results of non-invasive in-vivo magnetic resonance imaging (MRI) studies in very preterm adolescents and adults that have investigated brain morphology, white matter macro and micro-structure, structural and functional connectivity and haemodynamic responses associated with and potentially mediating intelligence and executive function outcomes.
We define intelligence as the “ability to understand complex ideas, to adapt effectively to the environment, to learn from experience, to engage in various forms of reasoning, to overcome obstacles by taking thought” [12]. Intelligence has been subdivided into “fluid intelligence” (cognitive processes applied in non-routine, novel or complex tasks) and “crystallised intelligence” (cognitive abilities related to previously acquired knowledge). Intelligence quotient (IQ) scores assess the performance of individuals on intelligence tests. Executive function, on the other hand, refers to cognitive processes responsible for the execution of goal-oriented tasks and include decision-making, planning, task-switching, inhibitory control, working memory, cognitive flexibility and verbal fluency [13].
Although intelligence and executive functions possess overlapping features and some studies have used the terms interchangeably, others have found that not all executive functions (for instance, the ability to inhibit prepotent responses and to shift mental sets) correlate with IQ (see Ref. [14] for review). We have previously reported lower executive function scores in very preterm adults compared to controls independently of IQ [1,15]. However, at the neuroanatomical level, it is challenging to disentangle regions specific to a single cognitive domain, as both executive function and intelligence are sub-served by a “multiple-demand” brain network, encompassing fronto-parietal cortical regions, basal ganglia, thalamus and cerebellum [16].
Section snippets
Grey matter morphology and cognitive outcomes
Structural MRI (s-MRI) is a technique that applies strong magnetic fields to different tissue types and creates high-resolution images of different parts of the body. s-MRI is able to clearly visualize brain anatomy at a resolution of about 1 cubic millimetre. MRI analyses are then used to quantify volumes and surface-based metrics of grey and white matter, which contain neuronal cell bodies, and myelinated axons that allow for the communication between different neuronal cells and brain
White matter macro- and microstructure and cognitive outcomes
s-MRI can also be used to investigate between-group changes in white matter macrostructure (i.e. size and volume). Similar to studies investigating grey matter, earlier reports used a region-of-interest approach to quantify white matter in regions that are vulnerable to injury associated with preterm birth. One of these regions is the corpus callosum, the largest bundle of commissural fibers in the brain and a pathway of crucial importance to coordinate interhemispheric integration and
Intrinsic functional connectivity and cognitive outcomes
Functional-MRI (fMRI) quantifies neural activity by measuring a blood oxygen level dependent (BOLD) signal, which refers to the increase in blood flow to the local blood vessels that accompanies neural activity in the brain. The temporally related BOLD activations of distinct brain regions ‘at rest’ (i.e., resting-state fMRI (rs-fMRI)) measure the spontaneous, low frequency fluctuations in the BOLD signal to characterise synchronous activations in large-scale spatially distinct regions, in
Task based functional MRI and cognitive outcomes
During task-based fMRI, several images of the brain are acquired over a period of time, while participants are completing a task in the scanner, and BOLD signal fluctuations are recorded.
Several studies have investigated the haemodynamic responses associated with high-order cognitive processing in very preterm individuals. We previously probed inhibitory control, which refers to the capacity to repress inappropriate responses and is crucial for the development of executive function. We found
Conclusions
Non-invasive MRI techniques have identified associations between alterations in brain morphology, white matter macro and micro-structure, structural and functional connectivity, functional haemodynamic responses and long-term cognitive outcomes following very preterm birth in adult life. However, there is more work to be done as neurobiological correlates have not yet shown to accurately predict cognitive outcomes. Advanced diffusion, functional and volumetric MRI offers the opportunity to
Acknowledgements
This work was supported by the Medical Research Council (UK) (grant no: MR/S026460/1).
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