Evidence map›Paper›PMID 42310193›Full record

ArticleMolecular psychiatry2026

Opposing sensitive period effects of early and late childhood maltreatment on corticolimbic responses in fear conditioning.

Jianjun Zhu, Lejia Zhou, Yuxin Zou, Yanqing Zhang, Yannan Liu, Martin H Teicher

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Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jianjun ZhuCenter for Early Environment and Brain Development, School of Education, Guangzhou University, Guangzhou, 511400, China. jianjunzhu722@gmail.com.ORCID http://orcid.org/0000-0002-7099-3912
Lejia ZhouCenter for Early Environment and Brain Development, School of Education, Guangzhou University, Guangzhou, 511400, China.ORCID http://orcid.org/0009-0008-8271-9495
Yuxin ZouCenter for Early Environment and Brain Development, School of Education, Guangzhou University, Guangzhou, 511400, China.
Yanqing ZhangCenter for Early Environment and Brain Development, School of Education, Guangzhou University, Guangzhou, 511400, China.
Yannan LiuCenter for Early Environment and Brain Development, School of Education, Guangzhou University, Guangzhou, 511400, China.
Martin H TeicherDepartment of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA. martin_teicher@hms.harvard.edu.ORCID http://orcid.org/0000-0002-6036-0177

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32371117Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2024A1515011176
6 · The paper itself

Abstract

The neural mechanisms underlying fear learning are critical for survival. Childhood maltreatment increases the risk of psychopathology by disrupting these processes, yet it remains unclear whether such effects reflect the cumulative burden of maltreatment types or arise from timing-specific exposures during sensitive developmental periods. In this study, 213 young adults (18-28 years) completed the Maltreatment and Abuse Chronology of Exposure (MACE), which retrospectively assesses the severity and timing of ten maltreatment types across childhood. During fMRI, participants underwent a Pavlovian fear-conditioning paradigm, allowing us to measure BOLD activation in the centromedial amygdala, basolateral amygdala, and hippocampus, as well as their functional connectivity with the ventromedial prefrontal cortex (vmPFC). Using machine-learning feature selection combined with a targeted maximum likelihood estimation (TMLE) framework, we identified the most influential type-by-age exposures and evaluated their effects on neural responses under standard causal assumptions. Two distinct windows of vulnerability emerged. Early maltreatment was associated with heightened threat-safety discrimination, reflected by stronger CS+-CS- separation in regional activation and vmPFC coupling, whereas late maltreatment was associated with blunted discrimination and reduced coupling, accompanied by relatively elevated CS- responding. Although directionally opposite, both patterns may represent adaptive phenotypes that confer heightened long-term vulnerability to psychopathology. These findings highlight sensitive periods during which maltreatment disproportionately alters corticolimbic dynamics, providing a developmental framework for timing targeted interventions to reduce mental-health risk in vulnerable youth.

Indexed as

Child AbuseFearAdolescentAdultAmygdalaBrain MappingConditioning, ClassicalFemaleHippocampusHumansMagnetic Resonance ImagingMalePrefrontal CortexYoung Adult

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.