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Pubertal hormones play an important role in brain and psychosocial development. However, the role of abnormal HPG axis states in altering brain function and structure remains unclear. The present study is aimed at determining whether there were significant differences in gray matter volume (GMV) and resting state (RS) functional connectivity (FC) patterns in girls with idiopathic central precocious puberty (CPP) and peripheral precocious puberty (PPP). We further explored the correlation between these differences and serum pubertal hormone levels. To assess this, we recruited 29 idiopathic CPP girls and 38 age-matched PPP girls. A gonadotropin-releasing hormone (GnRH) stimulation test was performed, and pubertal hormone levels (including luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol (E2), prolactin, and cortisol) were assessed. All subjects underwent multimodal magnetic resonance imaging of brain structure and function. Voxel-based morphometry (VBM) analysis was paired with seed-to-voxel whole-brain RS-FC analysis to calculate the GMV and RS-FC in idiopathic CPP and PPP girls. Correlation analyses were used to assess the effects of pubertal hormones on brain regions with structural and functional differences between the groups. We found that girls with CPP exhibited decreased GMV in the left insula and left fusiform gyrus, while connectivity between the left and right insula and the right middle frontal gyrus (MFG), as well as the left fusiform gyrus and right amygdala, was reduced in girls with CPP. Furthermore, the GMV of the left insula and peak FSH levels were negatively correlated while higher basal and peak E2 levels were associated with increased bilateral insula RS-FC. These findings suggest that premature activation of the HPG axis and pubertal hormone fluctuations alter brain structure and function involved in the cognitive and emotional process in early childhood. These findings provide vital insights into the early pathophysiology of idiopathic CPP., Competing Interests: All authors declare that there are no conflicts of interest in this study., (Copyright © 2019 Tao Chen et al.)

Background: There has been a myriad of neuroimaging studies that have suggested that pubertal stages and sex steroid fluctuations contribute to pubertal brain maturation. Investigations on the influence of hypothalamus-pituitary-gonadal (HPG) axis reactivation and the correlated elevated sex hormones on brain maturation have not unraveled these interactions to date. Here, we aimed to explore the impact of the reactivated HPG axis on spontaneous brain activity changes, by analyzing the amplitude of low-frequency fluctuation (ALFF) in developing girls aged 8-11 years old., Methods: The gonadotropin-releasing hormone (GnRH) stimulation test was used to determine the HPG axis status and categorize subjects into two groups (HPG+ or HPG- group). Intelligence quotient (IQ) and the parent-rated Child Behavior Checklist (CBCL) were used to evaluate cognitive and behavioral performance. Two-sample t-tests were used to compare intergroup differences, the relations between brain areas' activities, age and hormonal levels were conducted by Pearson or Spearman correlation analyses., Results: Compared with the HPG- group, the HPG+ group showed decreased ALFF values in the left superior temporal gyrus (STG) but increased ALFF values in the right superior frontal gyrus (SFG). In addition, in the HPG+ group, prolactin (PRL) levels were positively correlated with ALFF values in the right SFG, and there was significant negative correlation between ALFF values in the left STG and CBCL activities scores., Limitations: Due to the cross-sectional design of the present study, further study is needed to determine the relationships between age, reawakening of the HPG axis and related sex hormones and spontaneous brain activity change., Conclusions: These findings suggested that the reactivated HPG axis and elevated PRL level could affect changes in brain activity and this effect may be the neuroendocrine basis of mood, cognition, and social behavior changes in early pubertal girls., (Copyright © 2019. Published by Elsevier B.V.)

Parental migration has caused millions of children left behind, especially in China and India. Left-behind children (LBC) have a high risk of mental disorders and may present negative life outcomes in the future. However, little is known whether there are cerebral structural alterations in LBC in relative to those with parents. This study is to explore the effect of parental migration on brain maturation by comparing gray matter volume (GMV) and fractional anisotropy (FA) of LBC with well-matched non-LBC. Thirty-eight LBC (21 boys, age = 9.60 ± 1.8 years) and 30 non-LBC (19 boys, age = 10.00 ± 1.95 years) were recruited and underwent brain scans in 3.0 T MR. Intelligence quotient and other factors including family income, guardians' educational level and separation time were also acquired. GMV and FA were measured for each participant and compared between groups using 2-sample t -tests with atlas-based analysis. Compared to non-LBC, LBC exhibited greater GMV in emotional and cortico-striato-thalamo-cortical circuits, and altered FA in bilateral superior occipitofrontal fasciculi and right medial lemniscus ( p < 0.05, Cohen's d > 0.89, corrected for false-discovery rate). Other factors including family income, guardians' educational level and separation time were not associated with these brain changes. Our study provides empirical evidence of altered brain structure in LBC compared to non-LBC, responsible for emotion regulation and processing, which may account for mental disorders and negative life outcome of LBC. Our study suggests that absence of direct biological parental care may impact children's brain development. Therefore, public health efforts may be needed to provide additional academic and social/emotional supports to LBC when their parents migrate to seeking better economic circumstances, which has become increasingly common in developing countries.

Follow-up observation is needed for type 1 diabetes mellitus (T1DM) children due to the potential injury to the brain. However, the effect of short-term T1DM on gray matter in school-aged children is still unclear. This study aimed to evaluate gray matter volume (GMV) changes and their relationships with clinical variables in school-aged children with short-term T1DM. Twenty-one school-aged T1DM children were compared with 21 control patients, matched for sex and age. T1-weighted gradient echo three-dimensional MRI was performed using a 3.0-Tesla scanner and the resulting images were processed with FSL software to assess the difference in GMV between the two groups. The children with T1DM presented with decreased GMV in the left middle temporal gyrus (LMTG), the right postcentral gyrus, and the left triangular part of the frontal inferior gyrus (LTP-FIG). No significant changes in intelligence quotient (IQ) were found between the T1DM and control groups. In T1DM patients, there was a significant positive correlation between the GMV of LMTG and full-scale IQ or linguistic IQ. In addition, an increased glycosylated hemoglobin level was negatively correlated with reduced GMV in the LMTG and LTP-FIG in the T1DM group. These findings suggest that short-term T1DM could lead to regional structural brain deficits in school-aged children. The GMV of the LMTG may affect IQ, and poor recent glycemic control may have an adverse effect on GMV in the LMTG and LTP-FIG in T1DM children.Video abstract: http://links.lww.com/WNR/A506.

Depressive symptoms are common in individuals with mild cognitive impairment (MCI) who have an increased risk of dementia. It is currently unclear whether the pattern of spontaneous brain activity in patients with MCI differs between subjects with and without depressive symptoms. The current study sought to investigate the features of spontaneous brain activity in MCI patients with depressive symptoms (D-MCI) using coherence regional homogeneity (CReHo) analysis with resting-state functional magnetic resonance imaging (rsfMRI). We obtained rsfMRI data in 16 MCI patients with depressive symptoms and 18 nondepressed MCI patients (nD-MCI) using a 3 T scanner. Statistical analyses were performed to determine the regions in which ReHo differed between the two groups in specific frequency bands, slow-4 (0.027-0.073 Hz) and slow-5 (0.010-0.027 Hz), and typical bands (0.01-0.08 Hz). Correlation analyses were performed between the CReHo index of these regions and clinical variables to evaluate the relationship between CReHo and pathophysiological measures in the two groups. Our results showed that D-MCI patients exhibited significantly higher CReHo in the left Heschl's gyrus and left thalamus and lower CReHo in the left postcentral gyrus in the typical frequency band. In the slow-4 frequency band, D-MCI patients showed significantly higher CReHo in the left Heschl's gyrus and left thalamus. In the slow-5 frequency band, D-MCI patients exhibited significantly lower CReHo in the superior medial prefrontal gyrus. In addition, the results revealed that CReHo values in the left thalamus were positively correlated with Hamilton Depression Rating Scale (HAMD) scores in D-MCI patients. These results suggest that the sensorimotor network may be one of the main pathophysiological factors in D-MCI.

Objective: To explore brain activity in AD with depression (D-AD) based on fractional amplitude of low-frequency fluctuation (fALFF)., Methods: Twenty-two D-AD and 21 AD without depression patients (nD-AD) were examined by magnetic resonance imaging during resting state. Neuropsychiatric Inventory and Hamilton Depression Rating Scale were employed to assess the severity of depression. We analysed the characteristics of fALFF in D-AD differing from nD-AD. We also examined the correlation between fALFF and the depression severity., Results: D-AD patients had higher fALFF in right fusiform gyrus, left caudate nucleus, and right middle temporal gyrus (MTG), meanwhile lower fALFF in supplementary motor area (SMA) than nD-AD patients., Conclusions: Abnormal fALFF changes in fusiform gyrus, caudate nucleus, MTG and SMA may be important neuropathophysiologic characteristics of depression in AD., Significance: We have clarified the potential neuropathological changes of depression in AD based on fALFF method, which is crucial for effective intervention., (Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

Alzheimer's disease (AD) is characterized by progressive cognitive decline along with neuropsychiatric symptoms including depression and psychosis. Depression is a common psychiatric disorder occurring in people across the lifespan. Accumulating evidence indicates that depression may be a prodrome and/or a "risk factor" for AD. However, whether AD and depression share a common pathophysiological pathway is still unclear. The aim of this study was to identify regional alterations in brain function associated with depressive symptoms in mild AD patients. Thirty-two mild AD patients were evaluated using the Neuropsychiatric Inventory and Hamilton Depression Rating Scale, and were divided into two groups: 15 AD patients with depressive symptoms (D-AD) and 17 non-depressed AD (nD-AD) patients. Using the approach of regional homogeneity (ReHo), we characterized resting-state regional brain activity in D-AD and nD-AD patients. Compared with nD-AD patients, D-AD patients showed decreased ReHo in the right precentral gyrus, right superior frontal gyrus, right middle frontal gyrus, and right inferior frontal cortex. Our findings show regional brain activity alterations in D-AD patients. Thus, D-AD pathogenesis may be attributed to abnormal neural activity in multiple brain regions.

Highlights • The functional connectivity density was investigated between the subjects with idiopathic short stature and growth hormone deficiency. • The GHD group exhibited significantly decreased FCD in the left postcentral gyrus, right precentral gyrus and left cerebellar lobes 7b and 6. • The FCD value of the left postcentral gyrus in subjects with ISS positively correlated with IGFBP-3 levels and was somewhat correlated with IGF-1 levels. • The impact of GHD on brain network mainly involved the somatosensory, somatic motor and cerebellum network. Abstract Purpose The aim of the present study was to investigate the differences in the topological organization of functional brain networks between children with growth hormone deficiency (GHD) and those with idiopathic short stature (ISS). Methods Thirty-one children with GHD and fifty-three children with ISS were recruited based on the results of GH stimulation tests. Resting-state fMRI data were acquired from all children. Whole brain functional connectivity density (FCD) analysis and subsequent seed-based functional connectivity analysis were used to explore the differences in functional brain networks between the children with ISS and GHD. Correlation analyses among the results of clinical laboratory examinations, neuropsychological scales and FCD values of different brain regions were applied. Results Compared with the ISS group, the GHD group exhibited significantly decreased FCDs in the left postcentral gyrus, right precentral gyrus and left cerebellar lobules 7b and 6. The subsequent functional connectivity analysis found decreased functional connectivity between lobules 7b and 6 of the left cerebellum as well as the left postcentral gyrus and right precentral gyrus in the GHD group compared to that in the ISS group. In addition, the FCD values of region 6 of the left cerebellum in the GHD group were negatively correlated with the scores on the Symptom Checklist-90 and Eysenck Personality Questionnaire. The FCD value of the left postcentral gyrus in children with ISS positively correlated with IGFBP-3 levels and was approximately correlated with IGF-1 levels. Conclusions These findings highlight the impact of growth hormone deficiency on the brain network that mainly involves the somatosensory, somatic motor and cerebellum networks, which may contribute to the behavioural problems observed in these children. [ABSTRACT FROM AUTHOR]

Purpose: As one of the most common mental disorders and the most important precursor of suicide in Alzheimer's disease (AD), depression is associated with a decline in both well-being and daily functioning. At present, the diagnosis of AD patients with depression (D-AD) is largely dependent on clinical signs and symptoms, and the precise neural correlate underlying D-AD is still not fully understood. Methods: The current study sought to investigate low-frequency oscillations at the voxel level in D-AD patients based on the amplitude of low-frequency fluctuations (ALFF) measured using resting-state functional magnetic resonance imaging. We examined 22 D-AD patients and 21 non-depressed AD (nD-AD) patients. Results: The results revealed that D-AD patients exhibited increased ALFF values in the left caudate and thalamus and decreased ALFF values in the left middle temporal pole compared with nD-AD patients. Conclusion: These findings may provide further insight into the underlying neuropathophysiology of AD with depression. [ABSTRACT FROM AUTHOR]

Context • Traditional Chinese medicine (TCM) indicates that both Alzheimer's disease (AD) and vascular dementia (VD) should be categorized as dementia and that they have a common etiology and pathogenesis under TCM classification of syndromes, such as with kidney essence deficiency syndrome (KEDS). The pathological location is mainly in the brain. However, it remains unclear whether AD and VD patients with KEDS exhibit a metabolic commonality in the same region of the brain. Objective • The study intended to investigate the metabolic characteristics of the brain using proton magnetic resonance spectroscopy (1H-MRS) in patients with AD and VD who had been diagnosed with KEDS. Design • The research team designed a pilot study, with the participants being allocated to 3 groups: (1) an AD group, (2) a VD group, and (3) a control group. All data analysis was carried out by a trained radiologist who was blinded to each participant's diagnosis. Setting • The study took place at the Tongde Hospital of Zhejiang Province (Zhejiang Sheng, China). Participants • Participants were patients at the Tongde Hospital with mild AD or VD who had been diagnosed with KEDS. The normal controls were patients' spouses or guardians with normal cognitive function. Outcome Measures • All participants underwent 1H-MRS. The N-acetyl aspartate (NAA)/myo-inositol (mI), NAA/creatine (Cr), choline (Cho)/Cr, and mI/Cr ratios were bilaterally measured in the posterior cingulate gyrus (PCG) and anterior cingulate gyrus (ACG) by the Syngo spectroscopy postprocessing package. Demographic characteristics and 1H-MRS data were assessed across the AD, VD, and normal control groups. Results • Thirteen patients with mild AD with KEDS, 15 patients with mild VD with KEDS, and 18 normal controls were recruited from May 2013 through May 2014. The AD and VD groups did not significantly differ in the NAA/mI, NAA/Cr, Cho/Cr, and mI/Cr ratios in either the PCG or the ACG, with the exception being the Cho/Cr ratio in the right ACG, for which the ratio of the AD group was significantly lower when compared with that of the VD group (P < .05). Conclusions • Mild AD and VD with KEDS showed similar patterns for the 1H-MRS on the cingulate cortex, providing evidence for a common pathogenesis for the KEDS that is associated with AD and VD, providing a modern biological basis for the philosophy of providing the same treatment for different diseases. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is characterized by progressive cognitive decline along with neuropsychiatric symptoms including depression and psychosis. Depression is a common psychiatric disorder occurring in people across the lifespan. Accumulating evidence indicates that depression may be a prodrome and/or a "risk factor" for AD. However, whether AD and depression share a common pathophysiological pathway is still unclear. The aim of this study was to identify regional alterations in brain function associated with depressive symptoms in mild AD patients. Thirty-two mild AD patients were evaluated using the Neuropsychiatric Inventory and Hamilton Depression Rating Scale, and were divided into two groups: 15 AD patients with depressive symptoms (D-AD) and 17 non-depressed AD (nD-AD) patients. Using the approach of regional homogeneity (ReHo), we characterized resting-state regional brain activity in D-AD and nD-AD patients. Compared with nD-AD patients, D-AD patients showed decreased ReHo in the right precentral gyrus, right superior frontal gyrus, right middle frontal gyrus, and right inferior frontal cortex. Our findings show regional brain activity alterations in D-AD patients. Thus, D-AD pathogenesis may be attributed to abnormal neural activity in multiple brain regions. [ABSTRACT FROM AUTHOR]

Purpose: Diffusion tensor imaging is widely used for studying neural fiber trajectories in white matter and for quantifying changes in tissue using diffusion properties at each voxel in the brain. To better model the nature of crossing fibers within complex architectures, rather than using a simplified tensor model that assumes only a single fiber direction at each image voxel, a model mixing multiple diffusion tensors is used to profile diffusion signals from high angular resolution diffusion imaging (HARDI) data. Based on the HARDI signal and a multiple tensors model, spherical deconvolution methods have been developed to overcome the limitations of the diffusion tensor model when resolving crossing fibers. The Richardson-Lucy algorithm is a popular spherical deconvolution method used in previous work. However, it is based on a Gaussian distribution, while HARDI data are always very noisy, and the distribution of HARDI data follows a Rician distribution. This current work aims to present a novel solution to address these issues. Methods: By simultaneously considering both the Rician bias and neighbor correlation in HARDI data, the authors propose a localized Richardson-Lucy (LRL) algorithm to estimate fiber orientations for HARDI data. The proposed method can simultaneously reduce noise and correct the Rician bias. Results: Mean angular error (MAE) between the estimated Fiber orientation distribution (FOD) field and the reference FOD field was computed to examine whether the proposed LRL algorithm offered any advantage over the conventional RL algorithm at various levels of noise. Normalized mean squared error (NMSE) was also computed to measure the similarity between the true FOD field and the estimated FOD filed. For MAE comparisons, the proposed LRL approach obtained the best results in most of the cases at different levels of SNR and b-values. For NMSE comparisons, the proposed LRL approach obtained the best results in most of the cases at b-value = 3000 s/mm2, which is the recommended schema for HARDI data acquisition. In addition, the FOD fields estimated by the proposed LRL approach in regions of fiber crossing regions using real data sets also showed similar fiber structures which agreed with common acknowledge in these regions. Conclusions: The novel spherical deconvolution method for improved accuracy in investigating crossing fibers can simultaneously reduce noise and correct Rician bias. With the noise smoothed and bias corrected, this algorithm is especially suitable for estimation of fiber orientations in HARDI data. Experimental results using both synthetic and real imaging data demonstrated the success and effectiveness of the proposed LRL algorithm. [ABSTRACT FROM AUTHOR]

Background: The neural mechanisms of sleep beliefs and attitudes in primary insomnia (PI) patients at resting state remain unclear. The aim of this study was to investigate the features of regional homogeneity (ReHo) in PI using resting-state functional magnetic resonance imaging (rsfMRI).Methods: Thirty-two PI patients and 34 normal controls (NC) underwent rsfMRI using a 3 T scanner at Tongde Hospital of Zhejiang Province. Participants were assessed with the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) and Pittsburgh Sleep Quality Index (PSQI). Statistical analyses were performed to determine the regions in which ReHo differed between the two groups. Correlation analyses were performed between the ReHo index of each of these regions and DBAS-16 in PI patients.Results: PI patients showed increased ReHo values in the right superior frontal gyrus, and decreased ReHo values in the left cerebellar gyrus, left inferior occipital gyrus (IOG) and left amygdala compared with those of NC. ReHo values in the left IOG were negatively correlated with total DBAS-16 scores, and scores for "consequences of insomnia" and"worry/helplessness about sleep"in PI patients.Conclusions: These results suggest that ReHo alterations in the left IOG may play an important role in the dysfunctional beliefs and attitudes about sleep in PI. [ABSTRACT FROM AUTHOR]