91 research outputs found
The proportion of infants with delayed development defined as below 85 standard scores of the Bayley-III in infants who have fetal exposure to clozapine versus those in other atypical antipsychotics group<sup>a</sup>.
<p><sup>a</sup>Data was expressed as No. (%)</p><p>The proportion of infants with delayed development defined as below 85 standard scores of the Bayley-III in infants who have fetal exposure to clozapine versus those in other atypical antipsychotics group<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123373#t004fn001" target="_blank"><sup>a</sup></a>.</p
Proteins up- or down- regulation after 8 weeks of risperidone treatment.
<p>MW:Molecular Weight; PI:Peptides Identified.</p
Comparison of maternal characteristics and pregnancy outcomes between clozapine group and other atypical antipsychotics group.
<p>Comparison of maternal characteristics and pregnancy outcomes between clozapine group and other atypical antipsychotics group.</p
The information for antipsychotics using.
<p>The information for antipsychotics using.</p
Data_Sheet_1_Shared and Distinct Fractional Amplitude of Low-Frequency Fluctuation Patterns in Major Depressive Disorders With and Without Gastrointestinal Symptoms.pdf
Objective: Gastrointestinal (GI) symptoms are fairly common somatic symptoms in depressed patients. The purpose of this study was to explore the influence of concomitant GI symptoms on the fractional amplitude of low-frequency fluctuation (fALFF) patterns in patients with major depressive disorder (MDD) and investigate the connection between aberrant fALFF and clinical characteristics.Methods: This study included 35 MDD patients with GI symptoms (GI-MDD patients), 17 MDD patients without GI symptoms (nGI-MDD patients), and 28 healthy controls (HCs). The fALFF method was used to analyze the resting-state functional magnetic resonance imaging data. Correlation analysis and pattern classification were employed to investigate the relationship of the fALFF patterns with the clinical characteristics of patients.Results: GI-MDD patients exhibited higher scores in the HRSD-17 and suffered more severe insomnia, anxiety/somatization, and weight loss than nGI-MDD patients. GI-MDD patients showed higher fALFF in the right superior frontal gyrus (SFG)/middle frontal gyrus (MFG) and lower fALFF in the left superior medial prefrontal cortex (MPFC) compared with nGI-MDD patients. A combination of the fALFF values of these two clusters could be applied to discriminate GI-MDD patients from nGI-MDD patients, with accuracy, sensitivity, and specificity of 86.54, 94.29, and 70.59%, respectively.Conclusion: GI-MDD patients showed more severe depressive symptoms. Increased fALFF in the right SFG/MFG and decreased fALFF in the left superior MPFC might be distinctive neurobiological features of MDD patients with GI symptoms.</p
Additional file 1 of Minocycline and antipsychotics inhibit inflammatory responses in BV-2 microglia activated by LPS via regulating the MAPKs/ JAK-STAT signaling pathway
Supplementary Material 1: The original image of the full gels/blot
APOA-1 and GNAS measured by ELISA before and after 8 weeks of risperidone treatment (N = 80).
<p>APOA-1 and GNAS measured by ELISA before and after 8 weeks of risperidone treatment (N = 80).</p
Additional file 1 of Previous exposure to antipsychotic drug treatment is an effective predictor of metabolic disturbances experienced with current antipsychotic drug treatments
Additional file 1
The infants developments between clozapine and other atypical antipsychotic groups<sup>a</sup>.
<p><sup>a</sup>Data are expressed as mean (SD).</p><p>The infants developments between clozapine and other atypical antipsychotic groups<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123373#t003fn001" target="_blank"><sup>a</sup></a>.</p
Partial correlations between changes in APOA-I, GNAS and changes in metabolic measures after controlling for age, gender and family history of diabetes (N = 80).
<p>Partial correlations between changes in APOA-I, GNAS and changes in metabolic measures after controlling for age, gender and family history of diabetes (N = 80).</p
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