Systematic Review and Meta-Analysis: Neurocognitive Alterations in Offspring of Individuals With Schizophrenia or Bipolar Disorder Compared to Offspring of Unaffected Parents - 21/08/25
, Claudia Aymerich, MD, PhD a, d, e, Carlos Martínez-Asensi, MSc f, g, Angel Yorca-Ruiz, BSc, MSc f, h, Rebeca Magdaleno Herrero, BSc, MSc f, h, Alexandre Díaz-Pons, BSc, MSc f, h, Victor Ortiz-García de la Foz, BSc f, h, Joaquim Radua, MD, PhD e, i, Daniel Alonso-Alconada, PhD c, Gonzalo Salazar de Pablo, MD, PhD d, j, k, Miguel Ángel González-Torres, MD, PhD a, b, c, d, Paolo Fusar-Poli, MD, PhD d, j, l, m, Ana Catalán, MD, PhD a, b, c, d, e, #, Rosa Ayesa-Arriola, PhD e, f, g, #Abstract |
Objective |
The aim of this study is to conduct a meta-analytic examination of neurocognitive functioning in offspring of parents with schizophrenia (FHR-SZ) and offspring of parents with bipolar disorder (FHR-BD), examining both their differences from healthy control offspring (HC) and from each other.
Method |
A systematic search was conducted from inception to November 7, 2024. Studies included FHR-SZ and/or FHR-BD, a group of HC, and measures of neurocognitive performance. Exclusion criteria included studies without a control group or non–English-language publications. Data were extracted by 4 researchers and assessed using a modified version of the Newcastle–Ottawa Scale. Random-effects meta-analyses were conducted, with heterogeneity assessed using the Q statistic and I2 index. Meta-regressions examined the effects of age, sex, and study quality.
Results |
The sample comprised 3,475 FHR-SZ (mean age = 8.34 years, SD = 1.36; 54% female), 3,020 FHR-BD (mean age = 8.62 years, SD = 1.26; 46% female), and 5,272 HC (mean age = 8.48 years, SD = 1.23; 51% female). FHR-SZ showed significant impairments compared to HC across most cognitive domains, with the largest deficits in visual learning (g = –2.47), motor functioning (g = –1.85), and general intelligence (g = –1.30). In contrast, FHR-BD showed milder deficits, notably in visual learning (g = –0.87), verbal learning (g = –0.83), and processing speed (g = –0.53). FHR-SZ performed significantly worse than FHR-BD in attention, general intelligence, motor functioning, verbal memory and working memory.
Conclusion |
Offspring of parents with SZ or BD show generalized neurocognitive dysfunction, with greater impairments in FHR-SZ. Neurocognitive functioning is a critical target for early interventions.
Study Registration Information |
Differences in Cognitive Performance Between Individuals at Familial High Risk for Schizophrenia or Bipolar Disorder and Healthy Controls: A Protocol for a Systematic Review and Meta-Analysis; CRD42024498909.
Diversity & Inclusion Statement |
We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. We actively worked to promote sex and gender balance in our author group.
Le texte complet de cet article est disponible en PDF.Key words : neurocognition, offspring, psychosis, bipolar, familial high risk
Plan
| The publication of this article was funded by IIS Biobizkaia with support from the Research Commission of OSI Bilbao-Basurto. Borja Pedruzo was supported by the Biobizkaia PostMIR Fellowship 2024-2025 (Grant Number: BB/I/PMIR/24/002). Claudia Aymerich was funded by the Alicia Koplowitz Foundation. Rebeca Magdaleno Herrero received funding from the Fundación Marqués de Valdecilla (Award Number: PREVAL22/03). Ángel Yorca-Ruiz was supported by a predoctoral fellowship from the Instituto de Salud Carlos III (Award Number: FI0021/00162). Rosa Ayesa-Arriola was financed by a Consolidator Grant from the Ministerio de Ciencia e Innovación (CNS2022-136110), a Miguel Servet contract (CP18/00003), and projects supported by the Carlos III Health Institute (PI14/00639, PI14/00918, PI17/00221, PI20/00066, and PI23/00076). |
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| Data Sharing: Individual patient data should be available in original studies. Any request of additional information could be sent to borjap54@gmail.com |
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| Joaquim Radua and Carlos Martínez-Asensi served as the statistical experts for this research. |
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| Disclosure: Claudia Aymerich has received honoraria from Janssen Cilag and Rovi, outside the current work. Joaquim Radua has received CME honoraria from InspiraNetworks for a machine learning course promoted by Adamed, outside the submitted work. Gonzalo Salazar de Pablo has received honoraria from Janssen Cilag and Menarini, outside the current work. Ana Catalán has received honoraria from Janssen Cilag, ROVI, Otsuka, and Lundbeck, outside the current work. Borja Pedruzo, Carlos Martínez-Asensi, Angel Yorca-Ruiz, Rebeca Magdaleno Herrero, Alexandre Diaz-Pons, Victor Ortiz-García de la Foz, Daniel Alonso-Alconada, Miguel Ángel González-Torres, Paolo Fusar-Poli, and Rosa Ayesa-Arriola have reported no biomedical financial interests or potential conflicts of interest. |
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