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The Association Between Lentiform Nucleus Function and Cognitive Impairments in Schizophrenia

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Specialty Neurology
Date 2021 Nov 8
PMID 34744673
Citations 7
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Abstract

Cognitive decline is the core schizophrenia symptom, which is now well accepted. Holding a role in various aspects of cognition, lentiform nucleus (putamen and globus pallidus) dysfunction contributes to the psychopathology of this disease. However, the effects of lentiform nucleus function on cognitive impairments in schizophrenia are yet to be investigated. We aim to detect the fractional amplitude of low-frequency fluctuation (fALFF) alterations in patients with schizophrenia, and examine how their behavior correlates in relation to the cognitive impairments of the patients. All participants underwent magnetic resonance imaging (MRI) and cognitive assessment (digit span and digit symbol coding tests). Screening of brain regions with significant changes in fALFF values was based on analysis of the whole brain. The data were analyzed between Jun 2020 and Mar 2021. There were no interventions beyond the routine therapy determined by their clinicians on the basis of standard clinical practice. There were 136 patients (75 men and 61 women, 24.1 ± 7.4 years old) and 146 healthy controls (82 men and 64 women, 24.2 ± 5.2 years old) involved in the experiments seriatim. Patients with schizophrenia exhibited decreased raw scores in cognitive tests ( < 0.001) and increased fALFF in the bilateral lentiform nuclei (left: 67 voxels; x = -24, y = -6, z = 3; peak -value = 6.90; right: 16 voxels; x = 18, y = 0, z = 3; peak -value = 6.36). The fALFF values in the bilateral lentiform nuclei were positively correlated with digit span-backward test scores (left: = 0.193, = 0.027; right: = 0.190, = 0.030), and the right lentiform nucleus was positively correlated with digit symbol coding scores ( = 0.209, = 0.016). This study demonstrates that cognitive impairments in schizophrenia are associated with lentiform nucleus function as revealed by MRI, involving working memory and processing speed.

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References
1.
Cui L, Wei Y, Xi Y, Griffa A, de Lange S, Kahn R . Connectome-Based Patterns of First-Episode Medication-Naïve Patients With Schizophrenia. Schizophr Bull. 2019; 45(6):1291-1299. PMC: 6811827. DOI: 10.1093/schbul/sbz014. View

2.
Koshiyama D, Fukunaga M, Okada N, Yamashita F, Yamamori H, Yasuda Y . Subcortical association with memory performance in schizophrenia: a structural magnetic resonance imaging study. Transl Psychiatry. 2018; 8(1):20. PMC: 5802568. DOI: 10.1038/s41398-017-0069-3. View

3.
Vatansever D, Manktelow A, Sahakian B, Menon D, Stamatakis E . Cognitive Flexibility: A Default Network and Basal Ganglia Connectivity Perspective. Brain Connect. 2015; 6(3):201-7. PMC: 5118962. DOI: 10.1089/brain.2015.0388. View

4.
Friston K, Brown H, Siemerkus J, Stephan K . The dysconnection hypothesis (2016). Schizophr Res. 2016; 176(2-3):83-94. PMC: 5147460. DOI: 10.1016/j.schres.2016.07.014. View

5.
Cui L, Liu L, Wang H, Wang L, Guo F, Xi Y . Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy. Schizophr Bull. 2018; 44(5):1053-1059. PMC: 6101635. DOI: 10.1093/schbul/sby007. View