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In a Nutshell
- Children at elevated risk for schizophrenia had consistently larger volumes of white matter in the brain compared to typically developing children, a difference that persisted across all three brain scans. This was the study’s strongest and most consistent finding.
- Kids with a family history of schizophrenia showed some shifts in gray matter volume over time, particularly at the first follow-up when the children were in early adolescence, though those differences were no longer statistically significant after correction for multiple comparisons and should be interpreted cautiously.
- Brain differences were detectable as early as ages 9 to 12, years before any diagnosis of schizophrenia. The authors suggest that identifying at-risk children through community-based approaches, rather than waiting for a clinical crisis, is important for future research. It remains unknown how many of these children will go on to develop schizophrenia, and the study does not establish a validated screening pathway.
A new longitudinal study found that children between the ages of 9 and 12 who carry certain risk factors for schizophrenia already show measurable differences in brain structure compared to their peers, especially in white matter, the brain’s connective wiring, and those differences persist as they grow into adolescence. Separate, more tentative findings also hint at gray matter differences in one risk group, though those did not hold up after statistical correction. It remains unknown how many of these children will go on to develop schizophrenia; what the study shows is a group-level association between early risk factors and brain structure, not a predictive marker for any individual child.
Schizophrenia is a serious mental illness that typically emerges in late adolescence or early adulthood, but researchers have long suspected its roots take hold much earlier in life. Scientists from King’s College London and other institutions followed a group of children over roughly four years, scanning their brains at three separate points in time to track how their brain development differed based on their level of risk for the disorder. Writing in the journal CNS Spectrums, the team reported that the brain may already look different, at a group level, in children who carry schizophrenia risk factors, even years before any psychotic disorder emerges and long before anyone has sought help.
For families, the timing is the striking part of the picture. Brain structural differences were already present in children aged 9 to 12 who had not yet sought any mental health support, a sign of how early these differences may take hold, even if what it means for everyday clinical care remains an open question.
Finding Kids With Schizophrenia Risk Before They’re in Crisis
Most research on schizophrenia risk has focused on two groups: people who already have a close relative with the disorder, and people already experiencing early, mild symptoms who have sought clinical help. Both approaches have real drawbacks. Many people who develop schizophrenia have no family history of it, and those who show early clinical symptoms have often already begun to struggle significantly in daily life.
This study took a different approach. Researchers recruited children through community screening rather than waiting for families to seek out mental health services. One group of at-risk children was identified because they displayed a combination of three warning signs linked in prior research to later schizophrenia: psychotic-like experiences such as unusual perceptions or beliefs, delays in speech or motor development in early childhood, and social, emotional, or behavioral difficulties. A second at-risk group consisted of children who had a first- or second-degree relative, such as a parent, sibling, or grandparent, with schizophrenia or schizoaffective disorder. A third group of children with no such risk factors served as a comparison.
Recruiting from the general community rather than from clinics meant the researchers were capturing children at a very early stage, before significant impairment, before help-seeking, and before the kinds of additional conditions like depression or anxiety that often cloud the picture in clinical settings.
What the Brain Scans Showed
Across three rounds of MRI brain scans taken roughly two years apart, 88 children participated in at least one scan. At the start of the study, children averaged about 11 years of age. By the final scan, most were in early-to-mid adolescence.
Brain tissue is broadly divided into two types: gray matter, which contains the brain’s nerve cell bodies and handles processing and thinking, and white matter, the connective wiring that links different brain regions. Both were measured across the whole brain, and 12 specific brain regions were examined for gray matter changes.
Both at-risk groups showed consistently higher total white matter volume than the typically developing children at every scan point across the study. This was the clearest and most consistent finding, and it aligned with what the same research group had found in an earlier, single-snapshot study of overlapping participants.
For gray matter, the picture was more mixed and the findings more tentative. Children with a family history of schizophrenia showed some differences in how their gray matter changed over time compared to typically developing children, particularly in regions tied to emotion processing and sensory integration. These differences were most apparent at the first follow-up assessment, when participants were around 13 years old on average. After applying a statistical correction to account for the large number of comparisons made, those gray matter differences were no longer statistically significant. Children identified through the community screening approach using the three warning signs did not show significant gray matter differences compared to typical developers.
An additional analysis looked at whether children whose warning signs persisted across follow-up scans showed different brain patterns than those whose warning signs faded. Children with persistent warning signs tended to have higher white matter volume at follow-up compared to those whose warning signs resolved, though the small number of participants in each subgroup limits firm conclusions.
A Small Study With Big Questions About Early Schizophrenia Detection
Researchers are careful to note that this study has real limitations. With only 88 participants split across three groups, the sample size was modest. That limits the ability to detect subtle brain differences and rules out examining additional factors, such as IQ or childhood adversity, that might also influence brain development. It is also not yet known how many of these children will go on to develop schizophrenia. Fewer than 10 participants in the broader project met criteria for clinical high risk when reassessed years later, and not everyone who shows early warning signs will develop a psychotic disorder.
Still, the study makes a real contribution by showing that brain differences are already present, at a group level, in children identified through community screening, before significant functional impairment or clinical help-seeking.
A four-year window from roughly age 11 to 15 may be a particularly important period. Existing research on siblings of children with very early-onset schizophrenia suggests that some brain differences are most pronounced during early adolescence and may partially normalize by late adolescence. Whether the same pattern holds here remains to be seen with longer follow-up.
Researchers call for future work that takes a more proactive approach to identifying children at risk, reaching them through community settings before a clinical crisis and following them over longer periods to better understand which early differences matter most. As part of that agenda, they point to a need for systematic follow-up assessments and for exploring what tailored approaches might eventually help evaluate and sort risk among these children. That call for further investigation matters, but it should be understood as a set of open research questions, not a validated clinical recommendation. Brain scans are far from becoming a diagnostic tool, and the path from early identification to effective, practical support remains to be established through future research.
Disclaimer: This article summarizes peer-reviewed research and is intended for general information only. It is not medical advice or a diagnostic guide. The study describes a group-level association between early risk factors and brain structure, not a way to predict or diagnose schizophrenia in any individual child. Brain scans are not currently used to screen for or diagnose schizophrenia. Anyone with concerns about a child’s development or mental health should consult a qualified healthcare professional.
Paper Notes
Limitations
Researchers themselves acknowledge several important constraints on what can be concluded from this study. Most significant, the sample size was small, just 88 participants across three risk groups, which limited statistical power and prevented researchers from accounting for potentially important factors such as cognitive ability, childhood adversity, and socioeconomic status. These variables are known to be associated with brain structure and may have influenced results. Group assignments were based on risk status at the start of the study, but for one group, that status was determined by behavioral measures that can change over time, introducing some imprecision. The study also used a general brain-imaging processing approach rather than one designed specifically for younger children’s brains, though the authors note prior research supports this approach as appropriate. Most important, the study cannot yet determine how many participants will go on to develop schizophrenia, and the authors explicitly caution that findings should be interpreted carefully given these limitations. Replication in larger cohorts with longer follow-up periods is described as essential.
Funding and Disclosures
According to the paper, this research was supported by a National Institute for Health Research Career Development Fellowship (CDF/08/01/015, awarded to K.R.L.), Bial Foundation Research Grants (36/06 and 194/12), a NARSAD Young Investigator Award (2005), and the British Medical Association Margaret Temple Award for schizophrenia research (2006). One author was supported by a Sir Henry Wellcome Postdoctoral Fellowship (107395/Z/15/Z). All authors declared no conflicts of interest in relation to the subject of this study. Views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the Department of Health and Social Care, or King’s College London.
Publication Details
Authors: Shuqing Si, Matthew Kempton, Emily Hedges, Mathilde Antoniades, Ruth E. Roberts, Alexis E. Cullen, and Kristin R. Laurens. Affiliations include the Department of Psychosis Studies at King’s College London, the University of Pennsylvania, the Anna Freud Centre, University College London, the National Institute for Health Research Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, Karolinska Institutet, Queensland University of Technology, and the Social, Genetic & Developmental Psychiatry Centre at King’s College London.
Journal: CNS Spectrums, Volume 31, Issue 1, article e23, pages 1–8 (2026). Published by Cambridge University Press as an open-access article under the Creative Commons Attribution license.
Paper Title: “Trajectories of gray and white matter volume in children at elevated risk for schizophrenia”
DOI: 10.1017/S1092852926101047
Received: January 21, 2026. Accepted: May 28, 2026.







