Published online May 19, 2026. doi: 10.5498/wjp.v16.i5.113866
Revised: December 11, 2025
Accepted: February 12, 2026
Published online: May 19, 2026
Processing time: 225 Days and 3.3 Hours
Impaired insight is a core feature of schizophrenia and an established predictor of psychosis in individuals at clinical high risk (CHR). However, the neurocognitive mechanisms underlying impaired insight in CHR populations remain unclear.
To investigate the role of neurocognitive deficits in impaired insight and examine their combined influence on psychosis risk over a six-year follow-up.
A total of 312 CHR individuals were assessed for insight using the G12 item of the Positive and Negative Syndrome Scale. Participants were categorized into the low-impairment insight group (n = 151, G12 score < 3) and the high-impairment insight group (n = 161, G12 score ≥ 3). Neurocognition was evaluated using the MATRICS Consensus Cognitive Battery.
Performance on the Brief Visuospatial Memory Test-Revised (BVMT-R) was the only cognitive domain differentiating the insight groups after controlling for positive symptoms. The effect of BVMT-R on insight was most pronounced at moderate symptom levels. Moreover, risk-curve analyses indicated that higher BVMT-R scores were associated with a reduced conversion risk linked to impaired insight.
Incorporating visuospatial memory assessment may improve the identification of those at greatest risk and inform targeted interventions aimed at enhancing insight and reducing conversion to psychosis.
Core Tip: Impaired insight predicts psychosis in individuals at clinical high risk (CHR), yet its neurocognitive underpinnings remain unclear. In a six-year follow-up of 312 CHR participants, visuospatial memory assessed via the Brief Visuospatial Memory Test-Revised (BVMT-R) emerged as the key cognitive domain differentiating low and high impaired insight groups, independent of positive symptoms. Notably, higher BVMT-R scores reduced the risk of conversion to psychosis, moderating the impact of impaired insight. These findings highlight visuospatial memory as a potential marker for identifying CHR individuals at greatest risk and suggest targeted cognitive interventions to enhance insight and mitigate psychosis onset.