A child’s brain may reveal subtle signs of vulnerability to schizophrenia years before the disorder’s characteristic symptoms appear, according to new research tracking brain development between late childhood and early adolescence. Using repeated magnetic resonance imaging (MRI) scans, an international team found that children carrying multiple early risk factors, as well as those with a family history of schizophrenia, showed differences in the amount of white matter in the brain compared with typically developing children. The findings do not mean that these children will develop schizophrenia, but they suggest that aspects of brain development associated with susceptibility may be detectable before psychosis or major functional difficulties become visible.
Schizophrenia is a complex psychiatric disorder that usually emerges in adolescence or early adulthood. It can involve hallucinations, delusions, disorganised thinking, reduced motivation and changes in social or occupational functioning. Researchers have long sought biological indicators that might identify vulnerability before these symptoms begin, because earlier support could potentially reduce the severity of later illness. Yet most neuroimaging studies of schizophrenia risk have examined teenagers or adults who already show clinically significant symptoms or meet criteria for a high-risk state. That focus has left an important question unresolved: how early do measurable differences in brain structure begin to appear?
The new study, led by Kristin Laurens of King’s College London in the United Kingdom, examined 88 children between 9 and 12 years of age. The participants came from the longitudinal Child Health and Development Study, which followed the children over a period of four years. The research was supported by the Bial Foundation and involved collaborators from an international research team. Rather than relying solely on a single scan, the investigators used repeated assessments to examine developmental trajectories, or the way brain tissue volumes changed over time. This approach is important because childhood and adolescence are periods of rapid neurological growth and reorganisation, making the timing and direction of change as informative as the volume measured at any one moment.
The children were divided into three groups. One group included participants with several early antecedents associated with increased schizophrenia risk. These factors can include developmental, behavioural or environmental features that, when present in combination, may indicate elevated vulnerability, although none is sufficient on its own to predict the disorder. A second group consisted of children with a family history of schizophrenia, reflecting inherited susceptibility. The third group included typically developing children without the same recognised risk profiles. By comparing these groups before the onset of psychotic symptoms, the researchers aimed to separate possible developmental markers of vulnerability from brain changes that occur after illness has already begun.
MRI provided a non-invasive way to measure the volume of grey and white matter across the developing brain. Grey matter contains many neuronal cell bodies and is involved in information processing, while white matter consists largely of bundles of myelinated nerve fibres that connect distant brain regions. Myelin, the fatty insulating material surrounding many nerve fibres, helps electrical signals travel efficiently through neural networks. The development of white matter therefore reflects the maturation of communication pathways that allow brain regions involved in perception, reasoning, memory, emotion and behaviour to work together. Changes in grey matter volume, meanwhile, can reflect a combination of processes, including synaptic development, refinement of neural connections and tissue maturation.
The most consistent finding concerned white matter. Both children with multiple early risk factors and children with a family history of schizophrenia had greater overall white matter volumes than their typically developing peers. This difference was observed across successive assessments, indicating that it was not simply a temporary fluctuation detected on one scan. The pattern may point to an altered developmental trajectory in the brain’s communication systems, although the researchers cannot yet determine precisely what the greater volume represents biologically. It could reflect differences in the timing of myelination, the organisation of fibre pathways or other developmental processes. White matter volume is also a broad measure and does not directly reveal how efficiently individual neural connections function.
The researchers also identified a difference in the trajectory of grey matter among children with a family history of schizophrenia during the two-year follow-up period. The pattern appeared to move in the direction of typical development over time, raising the possibility that some early structural differences may partially normalise as the brain matures. However, this result did not remain statistically significant after correction for multiple comparisons. Statistical correction is essential when a study examines numerous brain measures, because testing many outcomes increases the chance that an apparently meaningful result could occur by chance. The loss of significance after correction means that the grey matter finding should be regarded as preliminary rather than definitive.
The study’s results are significant because they shift attention toward a developmental window that has often been overlooked. Detecting differences in children who have not developed psychosis could eventually help scientists understand how genetic vulnerability, early development and environmental influences interact to shape the brain. Schizophrenia is not caused by a single gene or one identifiable brain abnormality. Instead, it is thought to arise through the combined effects of many genetic variants and non-genetic factors, including complications during development, stress, substance exposure and social conditions. Brain imaging may help reveal how these influences converge, but it cannot currently provide a diagnosis or a reliable prediction for an individual child.
The researchers emphasise that the findings should be interpreted cautiously, particularly because the sample was relatively small. Children with a family history of schizophrenia or multiple early risk factors will not necessarily develop the disorder, and many people who later develop schizophrenia do not have a clearly identifiable family history or childhood profile. Differences in average white matter volume between groups cannot be used as a standalone screening test. Larger studies following participants into adolescence and adulthood will be needed to determine whether the observed patterns are associated with later symptoms, remain stable, or reflect temporary variations in normal development. Future research may also combine structural MRI with measures of brain connectivity, cognitive performance, genetics, sleep, stress and environmental exposure.
Despite these limitations, the findings strengthen the case for careful, long-term monitoring of children who may face elevated risk, together with support that is proportionate, ethical and centred on the child’s wellbeing. Early assessment should not label children as destined to develop schizophrenia, but could provide opportunities to identify difficulties with cognition, emotional regulation, social functioning or education before they become severe. Laurens argues that systematic follow-up and personalised intervention strategies are needed to improve risk assessment and strengthen early intervention models. The study offers an important glimpse into the developing brain before schizophrenia becomes clinically apparent, while underscoring a central challenge for psychiatric neuroscience: turning subtle group-level biological signals into accurate, safe and useful information for individuals.
Subject of Research: People
Article Title: Trajectories of grey and white matter volume in children at elevated risk for schizophrenia
Web References: https://www.cambridge.org/core/journals/cns-spectrums/article/trajectories-of-grey-and-white-matter-volume-in-children-at-elevated-risk-for-schizophrenia/079846C16454B7F072A2095CA6BF086E
References: CNS Spectrums. DOI: 10.1017/S1092852926101047
Keywords: Schizophrenia, psychotic disorders, childhood brain development, white matter, grey matter, magnetic resonance imaging, neuroimaging, neuroscience, early risk detection, psychiatric disorders
