{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T13:54:48Z","timestamp":1762869288945,"version":"3.41.2"},"reference-count":43,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T00:00:00Z","timestamp":1707955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychiatry"],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Cognitive impairment (CI) is a distinctive characteristic of schizophrenia, with evidence suggesting that childhood and adolescence onset schizophrenia (CAOS), representing severe but rare forms of schizophrenia, share continuity with adult-onset conditions. While relationships between altered brain function and CI have been identified in adults with schizophrenia, the extent of brain function abnormalities in CAOS remains largely unknown. In this study, we employed resting-state functional magnetic resonance imaging (rs-fMRI) to investigate functional alterations in brain areas among patients with CAOS. To assess CI across multiple cognitive domains, we utilized the Stroop Color and Word Tests (SCWT) and MATRICS Consensus Cognitive Battery (MCCB) tests. Our objective was to explore the associations between functional CI and the amplitude of low-frequency fluctuation (ALFF) levels in these patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We enrolled 50 patients diagnosed with CAOS and 33 healthy controls (HCs) matched for sex and age. Cognitive functions were assessed using the MCCB and SCWT methods. Rs-fMRI data were acquired using gradient-echo echo-planar imaging sequences. Voxel-based ALFF group maps were compared through two-sample t-tests in SPM8. Subsequently, correlation analyses were conducted to identify associations between ALFF levels and cognitive scores.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In comparison to HCs, patients exhibited significantly increased ALFF levels in the right fusiform gyrus, frontal lobe, and caudate, as well as the left frontal lobe and caudate. Conversely, reduced ALFF levels were observed in the temporal and left medial frontal lobes. Significant differences were identified between HCs and patients in terms of total cognitive scores, ALFF levels, and domain scores. All test scores were decreased, except for TMA. Correlation analyses between ALFF levels and cognitive functions in patients with CAOS differed from those in HCs. Pearson correlation analyses revealed positive associations between Brief Visuospatial Memory Test - Revised (BVMT-R) scores and ALFF levels in the left medial frontal gyrus. Digital Span Test (DST) scores were negatively correlated with ALFF levels in the right caudate, and Maze Test values were negatively correlated with levels in the left caudate. However, Pearson correlation analyses in HCs indicated that color and Hopkins Verbal Learning Test (HVLT-R) scores positively correlated with ALFF levels in the left frontal lobe, while color-word and symbol coding scores negatively correlated with levels in the right caudate.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Altered ALFF levels in the brain may be linked to cognitive impairment (CI) in patients with CAOS. We highlighted the pathophysiology of schizophrenia and provide imaging evidence that could potentially aid in the diagnosis of CAOS.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fpsyt.2024.1288955","type":"journal-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T04:54:55Z","timestamp":1707972895000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Investigating amplitude of low-frequency fluctuation and possible links with cognitive impairment in childhood and adolescence onset schizophrenia: a correlation study"],"prefix":"10.3389","volume":"15","author":[{"given":"Yinghui","family":"Liang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongrong","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanhong","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yadi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suqin","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2024,2,15]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.psc.2020.02.010","article-title":"Neurodevelopmental factors in schizophrenia","volume":"43","author":"Jaaro-Peled","year":"2020","journal-title":"Psychiatr Clin North Am"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.3390\/medicina58060694","article-title":"Schizophrenia and alarmins","volume":"58","author":"Ma","year":"2022","journal-title":"Medicina (Kaunas)"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1016\/j.molmed.2021.07.014","article-title":"Targeting synaptic plasticity in schizophrenia: insights from genomic studies","volume":"27","author":"Mould","year":"2021","journal-title":"Trends Mol Med"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1016\/j.schres.2020.05.012","article-title":"Cognitive motor impairments and brain structure in schizophrenia spectrum disorder patients with a history of catatonia","volume":"222","author":"Dean","year":"2020","journal-title":"Schizophr Res"},{"key":"B5","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.schres.2014.03.030","article-title":"Hippocampus and amygdala volumes in children and young adults at high-risk of schizophrenia: research synthesis","volume":"156","author":"Ganzola","year":"2014","journal-title":"Schizophr Res"},{"key":"B6","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.neubiorev.2021.11.034","article-title":"Structural brain correlates of cognitive function in schizophrenia: A meta-analysis","volume":"132","author":"Khalil","year":"2022","journal-title":"Neurosci Biobehav Rev"},{"key":"B7","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.nic.2019.09.007","article-title":"Neuroimaging in schizophrenia","volume":"30","author":"Keshavan","year":"2020","journal-title":"Neuroimaging Clin N Am"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcp.2017.03.004","article-title":"Social Cognition in Schizophrenia: Cognitive and Neurobiological Aspects. 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