Emotional effect on cognitive control in implicit memory tasks in patients with schizophrenia

Kim, Gwang-Won; Yang, Jong-Chul; Jeong, Gwang‐Woo

doi:10.1097/wnr.0000000000000405

Cited by 15 publications

(19 citation statements)

References 25 publications

(46 reference statements)

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“…3, the lower fALFF and higher GM values in BA 21, the higher cognitive performance. This is consistent with findings in (Choi et al, 2012; Kim et al, 2015), where SZs showed dominant activities in the superior and MTG compared with HCs in the implicit memory retrieval tests.…”

Section: Discussionsupporting

confidence: 92%

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data

et al. 2017

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Neuroimaging techniques have greatly enhanced the understanding of neurodiversity (human brain variation across individuals) in both health and disease. The ultimate goal of using brain imaging biomarkers is to perform individualized predictions. Here we proposed a generalized framework that can predict explicit values of the targeted measures by taking advantage of joint information from multiple modalities. This framework also enables whole brain voxel-wise searching by combining multivariate techniques such as ReliefF, clustering, correlation-based feature selection and multiple regression models, which is more flexible and can achieve better prediction performance than alternative atlas-based methods. For 50 healthy controls and 47 schizophrenia patients, three kinds of features derived from resting-state fMRI (fALFF), sMRI (gray matter) and DTI (fractional anisotropy) were extracted and fed into a regression model, achieving high prediction for both cognitive scores (MCCB composite r = 0.7033, MCCB social cognition r = 0.7084) and symptomatic scores (positive and negative syndrome scale [PANSS] positive r = 0.7785, PANSS negative r = 0.7804). Moreover, the brain areas likely responsible for cognitive deficits of schizophrenia, including middle temporal gyrus, dorsolateral prefrontal cortex, striatum, cuneus and cerebellum, were located with different weights, as well as regions predicting PANSS symptoms, including thalamus, striatum and inferior parietal lobule, pinpointing the potential neuromarkers. Finally, compared to a single modality, multimodal combination achieves higher prediction accuracy and enables individualized prediction on multiple clinical measures. There is more work to be done, but the current results highlight the potential utility of multimodal brain imaging biomarkers to eventually inform clinical decision-making.

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Section: Discussionsupporting

confidence: 92%

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data

et al. 2017

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“…Female patients showed significantly decreased GM volumes in the dlPFC compared with male patients. The dlPFC is a part of the frontal-subcortical neural circuitry that modulates mood and emotional processing [1,55]. A previous morphometric study [56] found that female patients with schizophrenia show structural abnormalities in the frontal lobe compared with male patients.…”

Section: Discussionmentioning

confidence: 99%

“…Schizophrenia is a severe mental illness characterized by deficits in cognition and emotion [1]. Brain structural abnormalities are detectable in most individuals afflicted with schizophrenia during the chronic stages [2].…”

Section: Introductionmentioning

confidence: 99%

Whole brain volume changes and its correlation with clinical symptom severity in patients with schizophrenia: A DARTEL-based VBM study

Kim

Jeong

2017

PLoS ONE

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The purpose of this study was to evaluate gray matter (GM) and white matter (WM) volume alterations in whole-brain structures in patients with schizophrenia and healthy controls using voxel-based morphometry (VBM), and further to assess the correlation between GM and WM volume variations and symptom severity in schizophrenia. A total of 22 patients with schizophrenia and 22 age-matched healthy controls participated. Magnetic resonance image data were processed using SPM8 software with diffeomorphic anatomical registration via an exponentiated Lie algebra (DARTEL) algorithm. Patients with schizophrenia exhibited significantly decreased GM volumes of the insula, superior temporal gyrus (STG), gyrus rectus, and anterior cingulate cortex (ACC) compared with healthy controls. The GM volumes of the STG and gyrus rectus were negatively correlated with the positive scales on the Positive and Negative Syndrome Scale (PANSS) and those of the STG and ACC were negatively correlated with the negative scales. The durations of illness in schizophrenia were negatively correlated with the GM volumes of the insula, STG, and ACC. Patients with schizophrenia exhibited significantly decreased WM volumes of the superior frontal gyrus, inferior temporal gyrus, and STG. The WM volumes of the STG were negatively correlated with the duration of illness. Our findings suggest that GM and WM volume abnormalities in the STG are associated with the psychopathology of schizophrenia.

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“…Abnormal BOLD activities in these visual and auditory-related regional brain areas encouraged us to further detect whether dysconnectivity existed between these regions. Not surprisingly, a significant interactive effect was found of RSFC between the MOG-L and bilateral STG, STG-L, and several regions, including ROC-R, Cu-R, Fu-L, and LG-L, which are related to cognitive control ( Kim et al, 2015 ). Increased BOLD activity and functional connectivity in schizophrenic patients may be a compensatory mechanism for the relatively inefficient activation of the related brain regions to achieve a near-normal level of neurocognitive performance even in the resting state ( Kang et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

SAP97 rs3915512 Polymorphism Affects the Neurocognition of Schizophrenic Patients: A Genetic Neuroimaging Study

Lin

et al. 2020

Front. Genet.

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Our previous study suggested that the synapse-associated protein 97 (SAP97) gene rs3915512 polymorphism may influence neurocognition in schizophrenia patients. Neuroimaging studies have shown a possible association between cognitive function and brain activity/connectivity. Considering the poor understanding of whether the disease state and SAP97 rs3915512 polymorphism have interactive effects on brain activity/connectivity, 52 first-episode schizophrenia (FES) patients and 52 healthy controls were genotyped using blood DNA samples and underwent magnetic resonance imaging scanning. A two-way ANCOVA model was performed with rs3915512 genotypes and disease state as the between-subject factors. A significant disease × SAP97 interactive effect was found for the amplitude of low-frequency fluctuation (ALFF) in the right supplementary motor area, left rolandic opercularis area (ROC-L), and bilateral middle occipital gyrus (MOG). In addition, among auditory/visual-related brain areas, a significant interactive effect was found for resting-state functional connectivity (RSFC) between the MOG-L and bilateral superior temporal gyrus (STG) in the STG-L with ROC-R, right cuneus (Cu-R), left fusiform (Fu-L), and left lingual gyrus (LG-L). Positive correlations were found between ALFF in the ROC-L and motor speed scores, between RSFC in the STG-L and LG-L and between Brief Assessment of Cognition in Schizophrenia verbal memory scores in FES. The SAP97 rs3915512 polymorphism may affect neurocognitive function in patients with schizophrenia by changing the brain activity and connectivity of auditory/visual-related brain areas.

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Emotional effect on cognitive control in implicit memory tasks in patients with schizophrenia

Cited by 15 publications

References 25 publications

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data

Whole brain volume changes and its correlation with clinical symptom severity in patients with schizophrenia: A DARTEL-based VBM study

SAP97 rs3915512 Polymorphism Affects the Neurocognition of Schizophrenic Patients: A Genetic Neuroimaging Study

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