Smaller volume and altered functional connectivity of the amygdala in patients with lifelong premature ejaculation

Geng, Bowen; Gao, Ming; Wu, Jiayu; Yang, Guang; Li, Chengxiang; Piao, Ruiqing; Zhang, Shuming; Yuan, Jianlin; Liu, Peng

doi:10.1007/s00330-021-08002-9

Cited by 13 publications

(14 citation statements)

References 45 publications

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“…The brain functional and structural imaging results demonstrated that the development of alexithymia might be caused by the altered connectivity among the superior frontal gyrus, inferior temporal gyrus, anterior cingulate gyrus, and insula (46,47). In addition, an increasing body of neuroimaging evidence has identified structural brain abnormalities in psychogenic and venous ED, and LPE, mainly in the prefrontal cortex, limbic system, and subcortical areas (48)(49)(50)(51). Previous studies have revealed impaired WM in the prefrontal cortex of patients with psychological ED and LPE (52,53).…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies demonstrated that the process of ejaculation was associated with decreased activity in this area ( 64 – 66 ). The orbitofrontal cortex was thought to modulate the activity of the amygdala, which showed increased activity in patients with PE ( 48 , 67 ). The PE-related abnormalities of function and structure were observed in the frontal regions, namely, the orbital frontal cortex, superior frontal gyrus (medial), middle frontal gyrus (orbital part), inferior frontal gyrus (orbital part), and cingulate gyrus ( 49 , 59 , 64 , 65 , 68 ).…”

Section: Discussionmentioning

confidence: 99%

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Convergent and Divergent Structural Connectivity of Brain White Matter Network Between Patients With Erectile Dysfunction and Premature Ejaculation: A Graph Theory Analysis Study

et al. 2022

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BackgroundSexual dysfunction, namely, erectile dysfunction (ED) and premature ejaculation (PE), has been found to be associated with abnormal structural connectivity in the brain. Previous studies have mainly focused on a single disorder, however, convergent and divergent structural connectivity patterns of the brain network between ED and PE remain poorly understood.MethodsT1-weighted structural data and diffusion tensor imaging data of 28 patients with psychological ED, 28 patients with lifelong PE (LPE), and 28 healthy controls (HCs) were obtained to map the white matter (WM) brain networks. Then, the graph-theoretical method was applied to investigate the differences of network properties (small-world measures) of the WM network between patients with ED and LPE. Furthermore, nodal segregative and integrative parameters (nodal clustering coefficient and characteristic path length) were also explored between these patients.ResultsSmall-world architecture of the brain networks were identified for both psychological ED and LPE groups. However, patients with ED exhibited increased average characteristic path length of the brain network when compared with patients with LPE and HCs. No significant difference was found in the average characteristic path length between patients with LPE and HCs. Moreover, increased nodal characteristic path length was found in the right middle frontal gyrus (orbital part) of patients with ED and LPE when compared with HCs. In addition, patients with ED had increased nodal characteristic path length in the right middle frontal gyrus (orbital part) when compared with patients with LPE.ConclusionTogether, our results demonstrated that decreased integration of the right middle frontal gyrus (orbital part) might be a convergent neuropathological basis for both psychological ED and LPE. In addition, patients with ED also exhibited decreased integration in the whole WM brain network, which was not found in patients with LPE. Therefore, altered integration of the whole brain network might be the divergent structural connectivity patterns for psychological ED and LPE.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Convergent and Divergent Structural Connectivity of Brain White Matter Network Between Patients With Erectile Dysfunction and Premature Ejaculation: A Graph Theory Analysis Study

et al. 2022

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“…Liu et al found that patients with pPE had more and thicker branches of the penile dorsal nerve (Liu et al, 2019). Based on fMRI images, a smaller volume of the amygdala and abnormal functional connectivity between the amygdala and related structures was observed in patients with pPE (Geng et al, 2021). PE‐related genetic polymorphisms in lifelong PE patients are also different from those in normal men (Janssen et al, 2009; Santtila et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Efficacy and safety assessment of glandular augmentation with hyaluronic acid for premature ejaculation

et al. 2022

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Glandular augmentation (GA) with hyaluronic acid (HA) is a newly developed, minimally invasive therapy for patients with premature ejaculation (PE); however, evidence supporting its efficacy is scarce. To provide a comprehensive profile of GA with HA gel in managing PE, 184 patients with PE who received GA with HA gel therapy from October 2017 to November 2019 were included and followed up for 1 year. The Fan technique was applied. Intravaginal Ejaculation Latency Time (IELT), Chinese Index of Premature Ejaculation‐5(CIPE‐5) and Visualised Satisfaction Index (VSI) of sexual experience were assessed at initial and 1‐, 3‐, 6‐ and 12‐month post injection. A total of 71 patients with primary PE (pPE, 38.6%) and 113 patients with acquired PE (aPE, 61.4%) were enrolled. The mean IELT increased to 100.7 ± 43.2 s(p < .05) for pPE patients and 359.2 ± 87.1 s (p < .05) for aPE patients 1‐month post injection and remained significantly higher at the end point with acceptable attenuation. The mean CIPE‐5 score increased to 17.6 ± 6.4 (p < .05) in the 1st month and remained steady. The VSI scores increased to 6.6 ± 1.0 (p < .05) for patients with pPE and 7.7 ± 1.2 (p < .01) for patients with aPE. Increments in VSI in patients with aPE were significantly higher than those in patients with pPE (p < .01). No severe complications were noted. GA with HA may be an effective and safe method to treat PE. Patients with acquired PE were also more satisfied post treatment.

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“…The T1-weighted structural data analysis was preprocessed by the CAT12 toolbox, which is based on Statistical Parametric Mapping 12 (SPM12) 1 in accordance with the following procedures: (1) T1 data was normalized to the template space; (2) the processed images were segmented into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF); (3) quality checks, including displaying one slice for all images and checking sample homogeneity, were carried out; (4) different brain sizes based on total intracranial volume (TIV) by the ANCOVA model were corrected; and (5) the image data with an 8 mm full-width at half-maximum Gaussian kernel were smoothed ( 4 ).…”

Section: Methodsmentioning

confidence: 99%

“…A significant difference in the caudate nucleus volume was found between patients with PE and healthy controls (HCs) ( 3 ). Patients with lifelong PE also had altered gray matter volume (GMV) in the bilateral amygdala ( 4 ). A recent study found that altered amplitude of low-frequency fluctuations (ALFF) of the frontal cortex, the parietal cortex, and the putamen might help distinguish premature ejaculation from anejaculation ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

Multivariate Pattern Analysis of Lifelong Premature Ejaculation Based on Multiple Kernel Support Vector Machine

et al. 2022

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ObjectiveThis study aimed to develop an effective support vector machine (SVM) classifier based on the multi-modal data for detecting the main brain networks involved in group separation of premature ejaculation (PE).MethodsA total of fifty-two patients with lifelong PE and 36 matched healthy controls were enrolled in this study. Structural MRI data, functional MRI data, and diffusion tensor imaging (DTI) data were used to process SPM12, DPABI4.5, and PANDA, respectively. A total of 12,735 features were reduced by the Mann–Whitney U test. The resilience nets method was further used to select features.ResultsFinally, 36 features (3 structural MRI, 7 functional MRI, and 26 DTI) were chosen in the training dataset. We got the best SVM model with an accuracy of 97.5% and an area under the curve (AUC) of 0.986 in the training dataset as well as an accuracy of 91.4% and an AUC of 0.966 in the testing dataset.ConclusionOur findings showed that the majority of the brain abnormalities for the classification was located within or across several networks. This study may contribute to the neural mechanisms of PE and provide new insights into the pathophysiology of patients with lifelong PE.

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Smaller volume and altered functional connectivity of the amygdala in patients with lifelong premature ejaculation

Cited by 13 publications

References 45 publications

Convergent and Divergent Structural Connectivity of Brain White Matter Network Between Patients With Erectile Dysfunction and Premature Ejaculation: A Graph Theory Analysis Study

Convergent and Divergent Structural Connectivity of Brain White Matter Network Between Patients With Erectile Dysfunction and Premature Ejaculation: A Graph Theory Analysis Study

Efficacy and safety assessment of glandular augmentation with hyaluronic acid for premature ejaculation

Multivariate Pattern Analysis of Lifelong Premature Ejaculation Based on Multiple Kernel Support Vector Machine

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