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Individuals with post-traumatic stress disorder (PTSD) typically experience states of reliving and hypervigilance; however, the dissociative subtype of PTSD (PTSD+DS) presents with additional symptoms of depersonalization and derealization. Although the insula is critical to emotion processing, its association with these contrasting symptom profiles is yet to be fully delineated. Accordingly, we investigated insula subregion resting-state functional connectivity patterns among individuals with PTSD, PTSD+DS, and healthy controls. Using SPM12 and PRONTO software, we implemented a seed-based resting-state functional connectivity approach, along with multiclass Gaussian process classification machine learning, respectively, in order to evaluate unique patterns and the predictive validity of insula subregion connectivity among individuals with PTSD (n = 84), PTSD+DS (n = 49), and age-matched healthy controls (n = 51). As compared to PTSD and PTSD+DS, healthy controls showed increased right anterior and posterior insula connectivity with frontal lobe structures. By contrast, PTSD showed increased bilateral posterior insula connectivity with subcortical structures, including the periaqueductal gray. Strikingly, as compared to PTSD and controls, PTSD+DS showed increased bilateral anterior and posterior insula connectivity with posterior cortices, including the left lingual gyrus and the left precuneus. Moreover, machine learning analyses were able to classify PTSD, PTSD+DS, and controls using insula subregion connectivity patterns with 80.4% balanced accuracy (p < .01). These findings suggest a neurobiological distinction between PTSD and its dissociative subtype with regard to insula subregion functional connectivity patterns. Furthermore, machine learning algorithms were able to utilize insula resting-state connectivity patterns to discriminate between participant groups with high predictive accuracy.  相似文献   
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Background: Considerable debate exists concerning the prognosis of breast cancer in male patients compared with that in female patients. Some studies have observed worse prognosis for men; others suggested the higher mortality rates were primarily due to delayed diagnosis. Methods: Survival time from diagnosis with invasive disease to death resulting from breast cancer of 58 men treated between 1973 and 1989 was compared with survival of 174 women treated between 1976 and 1978 who were matched by stage of disease and age at diagnosis. All patients were treated by mastectomy and axillary dissection. Results: Tumors were ⩽2 cm in 70% of cases and 55% were free of axillary metastases. The histology of the tumors differed significantly by gender (p<0.05). Significantly more men had estrogen receptor-positive tumors (87%) than did women (55%, p<0.001). Survival at 10 years was similar for male and female patients. Multivariate analysis controlling for tumor size, number of positive axillary lymph nodes, age at diagnosis, histology, and receptor status indicated no significant difference in survival of male compared with female patients. Conclusions: These data conflict with the conventional wisdom that breast cancer in men carries a worse prognosis than the disease in women. Although histology of the tumor and receptor status differed by gender, these factors did not have an impact on survival in these paired patients. Our data indicate that breast carcinoma in males is not biologically more aggressive than in females. Presented at the 49th Annual Cancer Symposium of The Society of Surgical Oncology, Atlanta, Georgia, March 21–24, 1996.  相似文献   
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