PURPOSE:This article aims to explore the relationship between the symptoms of PMS and changes of thalamic subregions. METHODS AND MATERIALS:71 patients diagnosed with PMS and 81 healthy controls (HCs) were included in the study. Participant status was determined using the Daily Record of Severity of Problems (DRSP) scale. All participants underwent functional and structural scans, and peripheral venous blood samples were collected to assess the cytokine and hormone levels. Resting-state functional connectivity (rsFC) and grey matter volume (GMV) of thalamic subregions were calculated from the MRI data. Correlation analyses were then conducted to investigate the associations between these neuroimaging indicators and the clinical features of PMS. RESULTS:The rsFC analysis revealed that PMS patients showed lower rsFC between the middle frontal gyrus (MFG) and the left thalamic medial posterior and ventral nuclei while higher rsFC between the insula and the left lateral posterior(LP) nuclei compared to HCs. Additionally, the findings demonstrated a correlation between the DRSP scores and rsFC, while the DRSP scores were positively correlated with (TNF-α) levels. Furthermore, the rsFC was found to be correlated with part of the inflammatory cytokines. CONCLUSION:The findings suggest that the observed functional connectivity alterations of the thalamus subregions are associated with the score of DRSP. This relationship appears to be largely dependent on the inflammation affecting the thalamic neural circuit, particularly the thalamic-MFG-insula network.

PurposeTo investigate the morphological network and cognitive function of patients with common-type coronavirus disease 2019 (COVID-19) during the acute phase, and examine dynamic changes at 3-month follow-up.MethodsAt baseline, high-resolution T1-weighted imaging was conducted in 35 patients with COVID-19 and 40 healthy controls; 22 patients were reassessed at 3 months. All patients underwent cognitive assessments. Individual morphological brain networks were constructed using grey matter volume similarity, and topological properties were analyzed using graph theory. We used an independent sample t-test at baseline and a paired sample t-test to compare the 3-month follow-up with the acute phase, with false discovery rate corrections (p < 0.05).ResultsIn the acute phase, patients exhibited increased subcortical network (SCN) connectivity, and reduced connectivity between the frontoparietal network (FPN) and limbic network (LN), the SCN and dorsal/ventral attention network (DAN/VAN), and the LN and DAN. At follow-up, SCN connectivity remained elevated, with partial recovery in SCN-DAN/VAN and LN-DAN connectivity, and significant FPN-LN improvements. Enhanced global efficiency and reduced path length indicated improved network integration. Additionally, digit symbol substitution test and verbal fluency test scores improved over time.ConclusionCOVID-19 induces short-term disruptions in cognition-related morphological subnetworks, with subcortical networks compensating for these changes. Significant recovery in FPN-LN connectivity and partial restoration of other networks highlight the plasticity of the brain and suggest that FPN-LN connectivity is a potential neuroimaging marker for cognitive recovery.

BACKGROUND:Neuroimaging studies indicate a link between the aberrant default mode network (DMN) and anxiety-depression severity in premenstrual syndrome (PMS); however, ignoring the effects of sleep prevents understanding the pathophysiology of PMS. METHODS:Seventy-seven PMS patients and sixty-six healthy controls (HCs) underwent resting-state functional MRI, and clinical assessment included the Pittsburgh Sleep Quality Index (PSQI), the Self-Rating Anxiety Scale, and the Self-Rating Depression Scale. PSQI scores classified PMS patients into normal sleep quality (PMS-NSQ) and poor sleep quality (PMS-PSQ) groups. Resting-state functional connectivity (rsFC) within the DMN were compared among the three groups. Correlation and mediation analyses examined potential associations relating sleep quality, changes in brain function, and clinical variables. RESULTS:Compared to HCs, both PMS-PSQ and PMS-NSQ groups exhibited increased rsFC between left inferior parietal lobule (IPL) and right middle occipital gyrus. Additionally, the PMS-NSQ group presented decreased FC of right ventromedial prefrontal cortex (VMPFC) and right posterior cingulate/precuneus (PCu), as well as lower degree centrality of right VMPFC. Combined correlation and mediation analyses showed that the relationship between the altered FC of right VMPFC-right PCu and anxiety-depression symptoms was mediated by sleep quality in PMS patients. CONCLUSIONS:The findings reveal the potential neuropathology of sleep problems in PMS, which sleep quality may mediate the association between FC within DMN and anxiety-depression severity. The right VMPFC may prospectively serve as potential intervention targets for the treatment of sleep disturbances in PMS. TRIAL REGISTRATION:This study was registered in the Chinese Clinical Trial Registry (ChiCTR1900020642, https//www.chictr.org.cn) on 11th Jan 2019.

Premenstrual Syndrome (PMS) is a unique emotional disorder in women, characterized by a series of cyclical physical, emotional, behavioral, and cognitive symptoms that occur during the luteal phase of the menstrual cycle, often accompanied by significant functional impairment. Premenstrual Dysphoric Disorder (PMDD) is a severe form of PMS and is classified as a subtype of depressive disorders in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Neuroimaging studies have revealed structural and functional abnormalities in the limbic system of PMS/PMDD patients, particularly in areas such as the amygdala, hypothalamus, and hippocampus, which are closely related to clinical symptoms. These abnormalities may represent one of the central nervous mechanisms underlying PMS/PMDD. This review focuses on the structural and functional changes in the limbic system of PMS/PMDD patients as revealed by MRI, and summarizes the relevant research progress.

Background:The thalamo-prefrontal white matter (WM) pathway, a core structural element of the frontal-limbic system disrupted in premenstrual syndrome (PMS), remains poorly understood. Methods:Diffusion tensor imaging (DTI), functional MRI (fMRI), and serum cytokine levels were collected from 41 PMS participants and 51 healthy controls (HCs), all diagnosed using the Daily Record of Severity of Problems (DRSP) scale. Bilateral thalamic-frontal WM pathways-the anterior thalamic radiations (ATRs)-were reconstructed using probabilistic fiber tracking. Two-sample tests examined group differences in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and amplitude of low-frequency fluctuation (ALFF) within bilateral ATRs. Spearman correlations assessed associations among these MRI metrics, inflammatory cytokines, and DRSP scores. Machine learning models further evaluated the diagnostic and predictive utility of left ATR features combined with inflammatory cytokines. Results:Compared to HCs, PMS patients exhibited increased MD, AD, RD, and ALFF values in the left ATR, as well as elevated tumor necrosis factor (TNF)-α levels. Correlation analysis revealed that these MRI alterations in the left ATR and TNF-α levels were linked to DRSP scores. Additionally, the machine learning models constructed using the optimal feature subset, involved in MD, AD and ALFF of left ATR as well as TNF-α, demonstrated robust performance in diagnosing PMS and predicting DRSP scores. Conclusion:These findings suggest altered thalamo-frontal WM connectivity and elevated TNF-α in PMS. The left ATR may serve as a biomarker of PMS neuro-mechanisms when combined with multi-MRI and inflammation metrics.

OBJECTIVE:Premenstrual syndrome (PMS) is a risk factor for female depression, linked to neural circuit dysfunction. This study investigates PMS-related brain network patterns, focusing on the triple network's integration and segregation. MATERIALS & METHODS:The study enrolled 56 PMS patients and 67 healthy controls (HCs), assessed via the Daily Record of Severity of Problems (DRSP). Functional MRI (fMRI) was analyzed using independent component analysis (ICA) to calculate functional connectivity (FC) and functional network connectivity (FNC) within and between brain networks. Correlation analysis examined links between imaging metrics and DRSP scores. RESULTS:Compared with HCs, PMS patients showed increased FC in the left inferior frontal gyrus of the salience network (SN). Additionally, there was increased FNC between the dorsal default mode network (dDMN), while a decrease was observed between the right execution network (RECN) and SN. Conversely, the FNC between RECN and dDMN was enhanced. Significant correlations were found between the FC values within the SN and DRSP scores. Similarly, the abnormal FNC pattern also correlated significantly with DRSP scores. CONCLUSION:Triple-network dysconnectivity may serve as a biomarker for PMS, offering insights into its pathophysiology and potential targets for network-based neuromodulation therapies. CLINICAL RELEVANCE STATEMENT:Identifying network dysconnectivities in PMS offers potential biomarkers for diagnosis and targets for neuromodulation therapy, ultimately improving symptom management and patient outcomes.

Moxibustion has a definite clinical effect in improving the cognitive condition in individuals with mild cognitive impairment (MCI), but its underlying neural mechanism remains elusive. This study aimed to investigate the alterations in spontaneous brain activity and cognitive function following moxibustion therapy in MCI patients. This study enrolled a cohort of 33 MCI subjects and 30 matched healthy controls (HCs). MCI subjects underwent a two-month regimen of moxibustion. Employing resting-state functional magnetic resonance imaging, we utilized regional homogeneity (ReHo) analysis to evaluate the changes in brain activity. Cognitive function was evaluated by using the Mini-Mental State Examination and Montreal Cognitive Assessment. There existed aberrant ReHo values in different brain areas mainly involved in the default mode network (DMN) in MCI subjects compared with HCs. After moxibustion treatment, MCI subjects showed an inverse in ReHo values from baseline in the hippocampus/parahippocampus and insula, as well as an increase in ReHo value in the middle frontal gyrus. Notably, the ReHo alterations in the left hippocampus/parahippocampus and middle frontal gyrus were associated with cognitive improvement in MCI patients. Abnormal neural activity occurred in MCI subjects mainly within the DMN. Moxibustion therapy may facilitate cognitive improvement in MCI subjects by modulating brain activity, particularly by reversing the neural activity within the DMN and salience network. These results underscore the therapeutic potential of moxibustion as an early intervention strategy for Alzheimer’s disease.

BACKGROUND:Women with premenstrual syndrome (PMS) are at increased risk for depression throughout their lives. White matter (WM) microstructure and inflammatory cytokine alterations have been proposed in its etiology. PURPOSE:To investigate whether WM, assessed using diffusion tensor imaging (DTI), and inflammatory cytokine levels are altered in PMS, and to examine the relationships between WM microstructure, inflammatory cytokines, and symptom severity. STUDY TYPE:Prospective. SUBJECTS:Forty-two PMS patients and 58 healthy controls (HCs), categorized according to the daily record of severity of problems (DRSP). FIELD STRENGTH/SEQUENCE:3-T, echo planar imaging DTI. ASSESSMENT:Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured by using tract-based spatial statistics (TBSS). Venous blood was collected to measure cytokines, including interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α). Symptoms were assessed by using the DRSP. STATISTICAL TESTS:Two-sample t test or Mann-Whitney U test were used to compare the DRSP and cytokines. Abnormal DTI metrics in WM were extracted and the differences between groups were analyzed by using two sample t-tests. Spearman's correlation (r) was used to assess the relationship between DTI metrics, cytokines, and DRSP. A P-value <0.05 with FDR correction was considered statistically significant. RESULTS:Compared with HCs, PMS patients showed significantly lower FA in the corpus callosum and corona radiata, and significantly higher MD, AD, and RD in the corticospinal tract (CST), and significantly higher MD and RD in the anterior thalamic radiation (ATR). These differential metrics were significantly correlated with DRSP. Patients showed significantly higher IL-1β and TNF-α than HCs. Moreover, TNF-α correlated positively with MD, AD, and RD in both groups (r range, 0.256-0.315). DATA CONCLUSION:Alterations of WM microstructure and IL-1β and TNF-α may be associated with PMS symptom severity, and TNF-α may correlate with DTI metrics of CST and ATR pathways. EVIDENCE LEVEL:1 TECHNICAL EFFICACY: Stage 2.

Sleep disturbances are among the most prevalent neuropsychiatric symptoms in individuals who have recovered from severe acute respiratory syndrome coronavirus 2 infections. Previous studies have demonstrated abnormal brain structures in patients with sleep disturbances who have recovered from coronavirus disease 2019 (COVID-19). However, neuroimaging studies on sleep disturbances caused by COVID-19 are scarce, and existing studies have primarily focused on the long-term effects of the virus, with minimal acute phase data. As a result, little is known about the pathophysiology of sleep disturbances in the acute phase of COVID-19. To address this issue, we designed a longitudinal study to investigate whether alterations in brain structure occur during the acute phase of infection, and verified the results using 3-month follow-up data. A total of 26 COVID-19 patients with sleep disturbances (aged 51.5 ± 13.57 years, 8 women and 18 men), 27 COVID-19 patients without sleep disturbances (aged 47.33 ± 15.98 years, 9 women and 18 men), and 31 age-and gender-matched healthy controls (aged 49.19 ± 17.51 years, 9 women and 22 men) were included in this study. Eleven COVID-19 patients with sleep disturbances were included in a longitudinal analysis. We found that COVID-19 patients with sleep disturbances exhibited brain structural changes in almost all brain lobes. The cortical thicknesses of the left pars opercularis and left precuneus were significantly negatively correlated with Pittsburgh Sleep Quality Index scores. Additionally, we observed changes in the volume of the hippocampus and its subfield regions in COVID-19 patients compared with the healthy controls. The 3-month follow-up data revealed indices of altered cerebral structure (cortical thickness, cortical grey matter volume, and cortical surface area) in the frontal-parietal cortex compared with the baseline in COVID-19 patients with sleep disturbances. Our findings indicate that the sleep disturbances patients had altered morphology in the cortical and hippocampal structures during the acute phase of infection and persistent changes in cortical regions at 3 months post-infection. These data improve our understanding of the pathophysiology of sleep disturbances caused by COVID-19.

情感障碍是一种以心境或情感改变为特征的精神疾病伴随症状,给患者生产生活带来沉重负担.经皮迷走神经刺激(Transcutaneous vagus nerve stimulation,tVNS)作为一项安全、经济、疗效可观的新型神经调节方法,已被国际认可,可用于情感障碍性疾病及伴有情感障碍性疾病的治疗.目前tVNS治疗伴情感障碍性疾病的机制尚未阐明.静息态功能磁共振成像(Resting state fMRI,Rs-fMRI)因其无辐射、可非侵入性反映大脑活动和中枢响应,已用于情感障碍性疾病的诊断及治疗机制的研究中.现就基于Rs-fMRI技术对应用tVNS治疗伴情感障碍性疾病的研究进行综述.

BACKGROUND:The pathophysiology of coronasomnia remains unclear. This study aimed to investigate changes in white matter (WM) microstructure and inflammatory factors in patients with sleep disorders (SD) characterized by poor sleep quantity, quality, or timing following coronavirus disease 2019 (COVID-19) infection in the acute phase (within one month) and whether these changes could be recovered at 3-month follow-up. METHODS:29 acute COVID-19 patients with SD (COVID_SD) and 27 acute COVID-19 patients without SD (COVID_NonSD) underwent diffusion tensor imaging (DTI), tested peripheral blood inflammatory cytokines level, and measured Pittsburgh Sleep Quality Index (PSQI), and matched 30 uninfected healthy controls. Analyzed WM abnormalities between groups in acute phase and explored its changes in COVID_SD at 3-month follow-up by using tract-based spatial statistics (TBSS). Correlations between DTI and clinical data were examined using Spearman partial correlation analysis. RESULTS:Both COVID_SD and COVID_NonSD exhibited widespread WM microstructure abnormalities. The COVID_SD group showed specific WM microstructure changes in right inferior fronto-occipital fasciculus (IFOF) (lower fractional anisotropy [FA]/axial diffusivity [AD] and higher radial diffusivity [RD]) and left corticospinal tract (CST) (higher FA and lower RD) and higher interleukin-1β (IL-1β) compared with COVID_NonSD group. These WM abnormalities and IL-1β levels were correlated PSQI score. After 3 months, the IFOF integrity and IL-1β levels tended to return to normal accompanied by symptom improvement in the COVID_SD relative to baseline. CONCLUSION:Abnormalities in right IFOF and left CST and elevated IL-1β levels were important neurophenotypes correlated with COVID_SD, which might provide new insights into the pathogenesis of neuroinflammation in SD patients induced by COVID-19.

目的 分析主观认知下降(SCD)和轻度认知障碍(MCI)默认网络(DMN)的异常改变,揭示其演变规律,以期为阿尔茨海默病(AD)的早期诊断提供影像学依据.方法 纳入SCD患者35例,MCI患者88例,健康对照(HC)者32名.收集受试者的相关临床数据、神经心理学量表评估数据以及3D-T1WI及静息态血氧水平依赖功能磁共振成像(BOLD-fMRI)数据.以后扣带回(PCC)作为种子点,分析SCD、MCI的DMN功能连接变化.结果 与HC组相比,SCD组双侧前扣带回(ACC)的功能连接降低,右侧额下回的功能连接增强;MCI组双侧海马及海马旁回、右侧额上回/左侧ACC、部分右侧颞中回/角回的功能连接降低,右侧中央前回、双侧岛叶/双侧额下回、右侧中扣带回/右腹侧ACC、右侧补充运动区、左侧小脑的功能连接增强.结论 随着疾病的进展,MCI在SCD的DMN功能连接变化的基础上出现了更为广泛的功能连接异常,提示了SCD是介于MCI和正常老年人之间的中间阶段.

Background:Premenstrual syndrome (PMS) is a menstrual-related disorder, characterized by physical, emotional, behavioral and cognitive symptoms. However, the neuropathological mechanisms of PMS remain unclear. This study aimed to investigate the frequency-specific functional connectivity density (FCD) and structural covariance in PMS.Methods:Functional and T1-weighted structural data were obtained from 35 PMS patients and 36 healthy controls (HCs). This study was a cross-sectional and prospective design. The local/long-range FCD (LFCD/LRFCD) across slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz) bands were computed, and two-way analysis of variance (ANOVA) was performed to ascertain the main effects of group and interaction effects between group and frequency band. Receiver operating characteristic (ROC) curve was performed to investigate reliable biomarkers for identifying PMS from HCs. Based on the ROC results, characterized the changes of whole-brain structural covariance patterns of striatum subregions in two groups. Correlation analysis was applied to examine relationships between the clinical symptoms and abnormal brain regions.Results:Compared with HCs, PMS patients exhibited: (I) aberrant functional communication in the middle cingulate cortex and precentral gyrus; (II) significant frequency band-by-group interaction effects of the striatum, thalamus and orbitofrontal cortex; (III) the better classification ability of the LFCD in the striatum in ROC analysis (slow-5); (IV) decreased gray matter volumes in the caudate subregions and decreased structural associations of between the caudate subregions and frontal cortex; (V) the LFCD value in thalamus were significantly negatively correlated with the sleep problems (slow-5).Conclusions:Based on multi-modal magnetic resonance imaging (MRI) analysis, this study might imply the aberrant emotional regulation and cognitive function related to menstrual cycle in PMS and improve our understanding of the pathophysiologic mechanism in PMS from novel perspective.

In neurons of the suprachiasmatic nucleus, spike frequency adaptation and membrane afterhyperpolarization occur during a train of action potentials. Extracellular Ca2+ may regulate neuronal excitability by several mechanisms, including activation of small conductance and large conductance Ca(2+)-activated K+ channels. The overall goal of this study was to examine the role of Ca(2+)-activated K+ currents in individual suprachiasmatic nucleus neurons. To this end, we used the nystatin-perforated patch technique to record currents from suprachiasmatic nucleus neurons. Iberiotoxin and tetraethylammonium, antagonists of large conductance Ca(2+)-activated K+ channels, had no effect on the membrane afterhyperpolarization. However, antagonists of small conductance Ca(2+)-activated K+ channels, apamin and d-tubocurarine, reduced the amplitude of the membrane afterhyperpolarization and inhibited the spike frequency adaptation that occurred during a train of action potentials. Although there was no significant difference in membrane AHP between different portions of the circadian day, apamin and d-tubocurarine increased the spontaneous firing frequency of suprachiasmatic nucleus neurons during the daytime. In voltage-clamp mode, membrane depolarization-activated currents were followed by an outward tail current reversing near the K+ equilibrium potential. The tail current decayed with a time constant of 220 ms at +20 mV and 149 ms at -40 mV. Apamin irreversibly and d-tubocurarine reversibly inhibited the tail current. The tail current amplitude was also reduced by the GABAA receptor antagonist, bicuculline methiodide, while picrotoxin (another GABAA receptor antagonist) was without effect. Removal of extracellular Ca2+ or the addition of Cd2+ reversibly inhibited the tail current. These results indicate that apamin- and d-tubocurarine-sensitive small conductance Ca(2+)-activated K+ channels have a modulatory function on the action potential firing frequency as well as the membrane afterhyperpolarization that follows a train of action potentials in suprachiasmatic nucleus neurons. Importantly, our data also indicate that a portion of the effects of bicuculline methiodide on suprachiasmatic nucleus neurons may be mediated by inhibition of small conductance Ca(2+)-activated K+ channels.

ObjectiveTo explore the effect of moxa cone moxibustion on N-acetyl aspartate/total creatinine (NAA/tCr) and choline/total creatinine (Cho/tCr) in the bilateral hippocampus (HIP) and bilateral posterior cingulate gyrus (PCG) in patients with mild cognitive impairment (MCI) using hydrogen proton magnetic resonance spectroscopy (1H-MRS) and to provide imaging basis for moxa cone moxibustion treatment for MCI.MethodsOne hundred eight patients with MCI were served as the MCI group, and 67 age-matched subjects were enrolled as the normal control group. The MCI group was randomized and allocated into acupoint group, drug group, and sham acupoint group, with 36 cases in each group. Some patients in each group withdrew. Finally, 25 cases were included in the acupoint group, 24 cases in the drug group, and 20 cases in the sham acupoint group. The drug group was treated with oral donepezil hydrochloride. The acupoint group and sham acupoint group received moxa cone moxibustion treatment. Mini-mental state exam (MMSE) and Montreal cognitive assessment (MoCA) scores were recorded before intervention, at the end of the first and the second months of intervention, and in the 5th month of follow-up. The NAA/tCr and Cho/tCr ratios in the HIP and PCG were bilaterally measured by 1H-MRS before and after intervention.ResultsBefore intervention, compared with the normal control group, the MMSE and MoCA scores, the Cho/tCr ratio in the right HIP, the NAA/tCr ratio in the bilateral HIP, and the NAA/tCr ratio in the left PCG in the three treatment groups decreased significantly (both p < 0.01), and the NAA/tCr ratio in the right PCG significantly reduced in the acupoint and drug groups (p < 0.05). After two months of treatment, compared with the normal control group, there were no differences in the MoCA scores, the NAA/tCr, and Cho/tCr ratios in the bilateral PCG and bilateral HIP in the three treatment groups (p > 0.05). However, the MMSE scores in the drug group decreased when compared with the acupoint group and normal control group (p < 0.05, p < 0.01). The scores of MMSE and MoCA in the acupoint group and sham acupoint group at all time points were better than those in the drug group, which were similar to those in the normal control group.ConclusionOur findings suggest that moxibustion could improve the cognitive function of patients with MCI. The mechanism may be related to the improvement of abnormal brain metabolism in HIP and PCG.

Objective To develop and validate a radiomic nomogram for individualized prediction of hepatocellular carcinoma (HCC) in HBV cirrhosis patients based on baseline magnetic resonance imaging examinations and clinical data. Methods 364 patients with HBV cirrhosis from five hospitals were assigned to the training, internal validation, external validation-1 or external validation-2 cohort. All patients underwent baseline magnetic resonance image (MRI) scans and clinical follow-up within three-year time. Clinical risk factors and MRI-based features were extracted and analyzed. The radiomic signatures were built using the radiomics-score (Rad-score) that calculated for each patient as a linear weighted combination of selected MRI-based features. Prognostic performances of the clinical and radiomic nomograms were evaluated with Cox modeling in the training and validation cohorts. Results Eighteen features were selected for inclusion in the Rad-score prognostic model. The radiomic signature from multi-sequence MRI yielded a concordance index (C-index) of 0.710, 0.681, 0.632 and 0.658 in the training, internal validation, external validation-1, external validation-2 cohorts, respectively. Sex and Child-Turcotte-Pugh (CTP) class were the most prognostic clinical risk factors in univariate Cox proportional hazards analyses. The radiomic combined nomogram that integrated the radiomic signature with the clinical factors yielded a C-index of 0.746, 0.710, and 0.641 in the training, internal validation, and external validation-1 cohorts, respectively, which was an improvement over either the clinical nomogram or radiomic signature alone. Conclusion We developed an MRI-based radiomic combined nomogram with good discrimination ability for the individualized prediction of HCC in HBV cirrhosis patients within three-year time.

BackgroundMild Cognitive Impairment (MCI), as a high risk of Alzheimer’s disease (AD), represents a state of cognitive function between normal aging and dementia. Moxibustion may effectively delay the progression of AD, while there is a lack of studies on the treatments in MCI. This study aimed to evaluate the effect of moxibustion treatment revealed by the amplitude of low-frequency fluctuation (ALFF) in MCI.MethodWe enrolled 30 MCI patients and 30 matched healthy controls (HCs) in this study. We used ALFF to compare the difference between MCI and HCs at baseline and the regulation of spontaneous neural activity in MCI patients by moxibustion. The Mini-Mental State Examination and Montreal Cognitive Assessment scores were used to evaluate cognitive function.ResultsCompared with HCs, the ALFF values significantly decreased in the right temporal poles: middle temporal gyrus (TPOmid), right inferior temporal gyrus, left middle cingulate gyrus, and increased in the left hippocampus, left middle temporal gyrus, right lingual gyrus, and right middle occipital gyrus in MCI patients. After moxibustion treatment, the ALFF values notably increased in the left precuneus, left thalamus, right temporal poles: middle temporal gyrus, right middle frontal gyrus, right inferior temporal gyrus, right putamen, right hippocampus, and right fusiform gyrus, while decreased in the bilateral lingual gyrus in MCI patients. The Mini-Mental State Examination and Montreal Cognitive Assessment scores increased after moxibustion treatment, and the increase in Mini-Mental State Examination score was positively correlated with the increase of ALFF value in the right TPOmid, the right insula, and the left superior temporal gyrus.ConclusionMoxibustion treatment might improve the cognitive function of MCI patients by modulating the brain activities within the default mode network, visual network, and subcortical network with a trend of increased ALFF values and functional asymmetry of the hippocampus. These results indicate that moxibustion holds great potential in the treatment of MCI.

Abstract Background Moxibustion has definite clinical effect in improving the cognitive condition of mild cognitive impairment (MCI) patients, yet its potential neural mechanism remains elusive. This study aimed to investigate the changes of spontaneous brain activity and cognitive function in MCI patients with moxibustion treatment. Methods We enrolled a cohort of 30 MCI patients and 30 matched healthy controls (HCs) in this study. MCI subjects were assigned to receive moxibustion treatment for two months. Based on resting state functional magnetic resonance imaging technique, we used regional homogeneity (ReHo) to evaluate changes in brain activity and Mini-Mental State Examination and Montreal Cognitive Assessment to assess changes in the participants' cognitive performance. Results There existed aberrant ReHo values in different brain areas mainly involved in the default mode network (DMN) in MCI subjects compared with HCs. After moxibustion treatment, MCI subjects showed an inverse change in ReHo values from baseline in the hippocampus/parahippocampus and insula, as well as an increase ReHo value in the middle frontal gyrus. Furthermore, changes in ReHo values of the left hippocampus/parahippocampus and middle frontal gyrus correlated with cognitive improvement in MCI group. Conclusion Abnormal neural activity occurred in MCI subjects mainly within the DMN. Moxibustion therapy may improve the cognitive function of MCI subjects through regulating their brain activity, particularly reversing the neural activity of DMN and salience network at reset, and may hold great potential for the early intervention and treatment of Alzheimer's disease.

Premenstrual syndrome (PMS) is a menstrual cycle-related disorder. Previous studies have indicated alterations of brain functional connectivity in PMS patients. However, little is known about the overall organization of brain network in PMS patients. Functional magnetic resonance imaging data deriving from 20 PMS patients and 21 healthy controls (HCs). Pearson correlation between mean time-series was used to estimate connectivity matrix between each paired regions of interest, and the connectivity matrix for each participant was then binarized. Graph theory analysis was applied to assess each participant’s global and local topological properties of brain functional network. Correlation analysis was performed to evaluate relationships between the daily rating of severity of problems (DRSP) and abnormal network properties. PMS patients had lower small-worldness values than HCs. PMS-related alterations of nodal properties were mainly found in the posterior cingulate cortex, precuneus and angular gyrus. The PMS-related abnormal connectivity components were mainly associated with the thalamus, putamen and middle cingulate cortex. In the PMS group, the DRSP score were negatively correlated with the area under the curves of nodal local efficiency in the posterior cingulate cortex. Our study suggests that the graph-theory method may be one potential tool to detect disruptions of brain connections and may provide important evidence for understanding the PMS from the disrupted network organization perspective.

Objective: This cross-sectional study aimed to distinguish patients with mild cognitive impairment (MCI) from patients with normal controls (NCs) by measuring the levels of N-acetyl aspartate (NAA), total creatinine (tCr), and choline (Cho) in their hippocampus (HIP) and their posterior cingulate gyrus (PCG) by using proton magnetic resonance spectroscopy (MRS) and to predict the cutoff value on the ratios of metabolites. We further aimed to provide a reference for the diagnosis of MCI in elderly patients in China. Methods: About 69 patients who underwent a clinical diagnosis of the MCI group and 67 patients with NCs, the Mini-Mental Status Examination (MMSE) score, the Montreal Cognitive Assessment (MoCA) score, and MRS of the bilateral HIP and bilateral PCG were considered. The ratio of NAA/tCr and Cho/tCr in the bilateral HIP and bilateral PCG was calculated. The relationship between the ratios of metabolites and the scores of MMSE and MoCA was analyzed, and the possible brain metabolite cutoff point for the diagnosis of MCI was evaluated. Results: Compared with the NC group, the scores of MMSE and MoCA in the MCI group decreased significantly (p < 0.05); the ratio of NAA/tCr in the bilateral HIP and bilateral PCG and the ratio of Cho/tCr at the right HIP in the MCI group decreased significantly (p < 0.05); however, there was no significant difference in the ratio of Cho/tCr in the left HIP and bilateral PCG between the two groups (p > 0.05). The correlation coefficient between MMSE/MoCA and the ratio of NAA/tCr was 0.49–0.56 in the bilateral HIP (p < 0.01). The best cutoff value of NAA/creatine (Cr) in the left HIP and the right HIP was 1.195 and 1.19. Sensitivity, specificity, and the Youden index (YDI) in the left HIP and the right HIP were (0.725, 0.803, 0.528) and (0.754, 0.803, 0.557), respectively. Conclusion: The level of metabolites in the HIP and the PCG of patients with MCI and of those with normal subjects has a certain correlation with the score of their MMSE and MoCA. When the value of NAA/tCr in the left HIP and right HIP is <1.19, it suggests that MCI may have occurred. According to this cutoff point, elderly patients with MCI in China could be screened.