The Link between Estradiol and Neuroplasticity in Transgender Women after Gender-Affirming Surgery: A Bimodal Hypothesis

2019 ◽  
Vol 110 (6) ◽  
pp. 489-500 ◽  
Author(s):  
Maiko A. Schneider ◽  
Poli M. Spritzer ◽  
Jee Su Suh ◽  
Luciano Minuzzi ◽  
Benicio N. Frey ◽  
...  
Keyword(s):  
Verbal Memory ◽  
Longitudinal Design ◽  
Scientific Evidence ◽  
Occipital Cortex ◽  
Transgender Women ◽  
Middle Temporal Gyrus ◽  
Precentral Gyrus ◽  
Time Points ◽  
The Right ◽  
The Impact

For transgender individuals, gender-affirming surgery (GAS) and cross-sex hormone therapy (CSHT) are part of the gender transition process. Scientific evidence supporting the maintenance of CSHT after GAS-related gonadectomy is accumulating. However, few data are available on the impact of CSHT on the brain structure following hypogonadism. Thus, we aimed to investigate links between estradiol and brain cortical thickness (CTh) and cognition in 18 post-gonadectomy transgender women using a longitudinal design. For this purpose, the participants underwent a voluntary period of CSHT washout of at least 30 days, followed by estradiol re-institution for 60 days. High-resolution T1-weighted brain images, hormonal measures, working and verbal memory were collected at 2 time points: on the last day of the washout (t1) and on the last day of the 2-month CSHT period (t2). Between these 2 time points, CTh increased within the left precentral gyrus and right precuneus but decreased within the right lateral occipital cortex. However, these findings did not survive corrections of multiple comparisons. Nevertheless, there was a significant negative correlation between changes in estradiol levels and changes in CTh. This effect was evident in the left superior frontal gyrus, the left middle temporal gyrus, the right precuneus, the right superior temporal gyrus, and the right pars opercularis. Although there was an improvement in verbal memory following hypogonadism correction, we did not observe a significant relationship between changes in memory scores and CTh. Altogether, these findings suggest that there is a link between estradiol and CTh.

scholarly journals Estimation of gender-specific connectional brain templates using joint multi-view cortical morphological network integration

2020 ◽  
Author(s):  
Nada Chaari ◽  
Hatice Camgöz Akdağ ◽  
Islem Rekik
Keyword(s):  
Right Hemisphere ◽  
Occipital Cortex ◽  
Brain Regions ◽  
Middle Temporal Gyrus ◽  
Network Clustering ◽  
Male And Female ◽  
Clustering Model ◽  
Net Method ◽  
The Right ◽  
Gender Specific

Abstract The estimation of a connectional brain template (CBT) integrating a population of brain networks while capturing shared and differential connectional patterns across individuals remains unexplored in gender fingerprinting. This paper presents the first study to estimate gender-specific CBTs using multi-view cortical morphological networks (CMNs) estimated from conventional T1-weighted magnetic resonance imaging (MRI). Specifically, each CMN view is derived from a specific cortical attribute (e.g. thickness), encoded in a network quantifying the dissimilarity in morphology between pairs of cortical brain regions. To this aim, we propose Multi-View Clustering and Fusion Network (MVCF-Net), a novel multi-view network fusion method, which can jointly identify consistent and differential clusters of multi-view datasets in order to capture simultaneously similar and distinct connectional traits of samples. Our MVCF-Net method estimates a representative and well-centered CBTs for male and female populations, independently, to eventually identify their fingerprinting regions of interest (ROIs) in four main steps. First, we perform multi-view network clustering model based on manifold optimization which groups CMNs into shared and differential clusters while preserving their alignment across views. Second, for each view, we linearly fuse CMNs belonging to each cluster, producing local CBTs. Third, for each cluster, we non-linearly integrate the local CBTs across views, producing a cluster-specific CBT. Finally, by linearly fusing the cluster-specific centers we estimate a final CBT of the input population. MVCF-Net produced the most centered and representative CBTs for male and female populations and identified the most discriminative ROIs marking gender differences. The most two gender-discriminative ROIs involved the lateral occipital cortex and pars opercularis in the left hemisphere and the middle temporal gyrus and lingual gyrus in the right hemisphere.

PP155 The Impact Of Lawsuits In The Brazilian Public Health System

2017 ◽  
Vol 33 (S1) ◽  
pp. 141-141
Author(s):  
Carla Biella ◽  
Viviane Pereira ◽  
Fabiana Raynal ◽  
Jorge Barreto ◽  
Vania Canuto ◽  
...  
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health System ◽  
Public Health System ◽  
Scientific Evidence ◽  
Health Technology ◽  
Health Technologies ◽  
Access To Health ◽  
The Right ◽  
The Impact

INTRODUCTION:The increase of litigation in Brazil on the right to health, and the Brazilian Public Health System (SUS) targets of litigation, are phenomena that generate discussions both in the judiciary, and among researchers and managers of health. The lawsuits are based on the integrality that includes the right to any health technology. Our aim was to gather information on the use of scientific evidence by judges and other law professionals to support their decisions in lawsuits involving health care in Brazil.METHODS:A narrative review by literature search using key terms of legalization in specific databases was conducted.RESULTS:Twenty-five studies showed litigation matters relating to health care which were focused on legal claims about drugs. In general, law operators used the scientific evidences in a limited way when making decisions, by considering the medical report and medication label indications and disregarding therapeutic alternatives contemplated in the SUS list. The access to health technologies, by litigation, reveals that the gap between scientific knowledge and legal practice are similar to those found between science and decision-making in the formulation and implementation of health policies. The Health Technology Assessment studies have high potential for use by the judiciary as a reference source to support technical and scientific decisions in lawsuits on health care.CONCLUSIONS:For the judiciary to ensure not only access to health technologies, but also the efficacy and safety of technologies to system users, their decisions must be substantiated by scientific evidence. The National Committee for Health Technology Incorporation (CONITEC) in SUS has established actions in conjunction with law operators and society, such as a communication using e-mail, aiding the decision for the injunction and elaboration of technical reports and a policy brief, with the intention that the decisions are taken with the greatest possible knowledge about technologies provided by SUS, and based on scientific evidence.

scholarly journals Attentional Preparation for a Lateralized Visual Distractor: Behavioral and fMRI Evidence

2006 ◽  
Vol 18 (4) ◽  
pp. 522-538 ◽  
Author(s):  
Christian C. Ruff ◽  
Jon Driver
Keyword(s):  
Occipital Cortex ◽  
Brain Structures ◽  
Functional Coupling ◽  
Psychophysical Experiment ◽  
Temporoparietal Junction ◽  
Control Structures ◽  
Visual Distractor ◽  
Superior Parietal Cortex ◽  
The Right ◽  
The Impact

Attending to the location of an expected visual target can lead to anticipatory activations in spatiotopic occipital cortex, emerging before target onset. But less is known about how the brain may prepare for a distractor at a known location remote from the target. In a psychophysical experiment, we found that trial-to-trial advance knowledge about the presence of a distractor in the target-opposite hemifield significantly reduced its behavioral cost. In a subsequent functional magnetic resonance imaging experiment with similar task and stimuli, we found anticipatory activations in the occipital cortex contralateral to the expected distractor, but no additional target modulation, when participants were given advance information about a distractor's subsequent presence and location. Several attention-related control structures (frontal eye fields and superior parietal cortex) were active during attentional preparation for all trials, whereas the left superior prefrontal and right angular gyri were additionally activated when a distractor was anticipated. The right temporoparietal junction showed stronger functional coupling with occipital regions during preparation for trials with an isolated target than for trials with a distractor expected. These results show that anticipation of a visual distractor at a known location, remote from the target, can lead to (1) a reduction in the behavioral cost of that distractor, (2) preparatory modulation of the occipital cortex contralateral to the location of the expected distractor, and (3) anticipatory activation of distinct parietal and frontal brain structures. These findings indicate that specific components of preparatory visual attention may be devoted to minimizing the impact of distractors, not just to enhancements of target processing.

scholarly journals Neurofunctional Symmetries and Asymmetries during Voluntary out-of- and within-Body Vivid Imagery Concurrent with Orienting Attention and Visuospatial Detection

Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1549
Author(s):  
Amedeo D’Angiulli ◽  
Darren Kenney ◽  
Dao Anh Thu Pham ◽  
Etienne Lefebvre ◽  
Justin Bellavance ◽  
...  
Keyword(s):  
Occipital Cortex ◽  
Attentional Focus ◽  
Event Related Potential ◽  
Middle Temporal Gyrus ◽  
Dipole Source ◽  
Vernier Acuity ◽  
Body Imagery ◽  
Localization Analysis ◽  
And Performance ◽  
The Right

We explored whether two visual mental imagery experiences may be differentiated by electroencephalographic (EEG) and performance interactions with concurrent orienting external attention (OEA) to stimulus location and subsequent visuospatial detection. We measured within-subject (N = 10) event-related potential (ERP) changes during out-of-body imagery (OBI)—vivid imagery of a vertical line outside of the head/body—and within-body imagery (WBI)—vivid imagery of the line within one’s own head. Furthermore, we measured ERP changes and line offset Vernier acuity (hyperacuity) performance concurrent with those imagery, compared to baseline detection without imagery. Relative to OEA baseline, OBI yielded larger N200 and P300, whereas WBI yielded larger P50, P100, N400, and P800. Additionally, hyperacuity dropped significantly when concurrent with both imagery types. Partial least squares analysis combined behavioural performance, ERPs, and/or event-related EEG band power (ERBP). For both imagery types, hyperacuity reduction correlated with opposite frontal and occipital ERP amplitude and polarity changes. Furthermore, ERP modulation and ERBP synchronizations for all EEG frequencies correlated inversely with hyperacuity. Dipole Source Localization Analysis revealed unique generators in the left middle temporal gyrus (WBI) and in the right frontal middle gyrus (OBI), whereas the common generators were in the left precuneus and middle occipital cortex (cuneus). Imagery experiences, we conclude, can be identified by symmetric and asymmetric combined neurophysiological-behavioural patterns in interactions with the width of attentional focus.

scholarly journals Treatment Response Prediction and Individualized Identification of Short-Term Abstinence Methamphetamine Dependence Using Brain Graph Metrics

2021 ◽  
Vol 12 ◽  
Author(s):  
Cui Yan ◽  
Xuefei Yang ◽  
Ru Yang ◽  
Wenhan Yang ◽  
Jing Luo ◽  
...  
Keyword(s):  
Treatment Response ◽  
Response Prediction ◽  
Middle Temporal Gyrus ◽  
Precentral Gyrus ◽  
Middle Temporal ◽  
Individual Level ◽  
Graph Metrics ◽  
The Individual ◽  
The Right ◽  
Orbital Part

Background: The abuse of methamphetamine (MA) worldwide has gained international attention as the most rapidly growing illicit drug problem. The classification and treatment response prediction of MA addicts are thereby paramount, in order for effective treatments to be more targeted to individuals. However, there has been limited progress.Methods: In the present study, 43 MA-dependent participants and 38 age- and gender-matched healthy controls were enrolled, and their resting-state functional magnetic resonance imaging data were collected. MA-dependent participants who showed 50% reduction in craving were defined as responders to treatment. The present study used the machine learning method, which is a support vector machine (SVM), to detect the most relevant features for discriminating and predicting the treatment response for MA-dependent participants based on the features extracted from the functional graph metrics.Results: A classifier was able to differentiate MA-dependent subjects from normal controls, with a cross-validated prediction accuracy, sensitivity, and specificity of 73.2% [95% confidence interval (CI) = 71.23–74.17%), 66.05% (95% CI = 63.06–69.04%), and 80.35% (95% CI = 77.77–82.93%), respectively, at the individual level. The most accurate combination of classifier features included the nodal efficiency in the right middle temporal gyrus and the community index in the left precentral gyrus and cuneus. Between these two, the community index in the left precentral gyrus had the highest importance. In addition, the classification performance of the other classifier used to predict the treatment response of MA-dependent subjects had an accuracy, sensitivity, and specificity of 71.2% (95% CI = 69.28–73.12%), 86.75% (95% CI = 84.48–88.92%), and 55.65% (95% CI = 52.61–58.79%), respectively, at the individual level. Furthermore, the most accurate combination of classifier features included the nodal clustering coefficient in the right orbital part of the superior frontal gyrus, the nodal local efficiency in the right orbital part of the superior frontal gyrus, and the right triangular part of the inferior frontal gyrus and right temporal pole of middle temporal gyrus. Among these, the nodal local efficiency in the right temporal pole of the middle temporal gyrus had the highest feature importance.Conclusion: The present study identified the most relevant features of MA addiction and treatment based on SVMs and the features extracted from the graph metrics and provided possible biomarkers to differentiate and predict the treatment response for MA-dependent patients. The brain regions involved in the best combinations should be given close attention during the treatment of MA.

scholarly journals Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic

2020 ◽  
Author(s):  
Ganna Rozhnova ◽  
Christiaan H van Dorp ◽  
Patricia Bruijning-Verhagen ◽  
Martin C J Bootsma ◽  
Janneke H H M van de Wijgert ◽  
...  
Keyword(s):  
The Netherlands ◽  
School Closure ◽  
Transmission Model ◽  
Time Points ◽  
School Based ◽  
Age Structured ◽  
The Right ◽  
Age Structured Model ◽  
The Impact ◽  
Second Wave

Background: In autumn 2020, many countries, including the Netherlands, are experiencing a second wave of the COVID-19 pandemic. Health policymakers are struggling with choosing the right mix of measures to keep the COVID-19 case numbers under control, but still allow a minimum of social and economic activity. The priority to keep schools open is high, but the role of school-based contacts in the epidemiology of SARS-CoV-2 is incompletely understood. We used a transmission model to estimate the impact of school contacts on the transmission of SARS-CoV-2 and to assess the effects of school-based measures, including school closure, on controlling the pandemic at different time points during the pandemic. Methods and Findings: The age-structured model was fitted to age-specific seroprevalence and hospital admission data from the Netherlands during spring 2020. Compared to adults older than 60 years, the estimated susceptibility was 23% (95%CrI 20-28%) for children aged 0 to 20 years and 61% (95%CrI 50%-72%) for the age group of 20 to 60 years. The time points considered in the analyses were (i) August 2020 when the effective reproduction number (R_e) was estimated to be 1.31 (95%CrI 1.15-2.07), schools just opened after the summer holidays and measures were reinforced with the aim to reduce R_e to a value below 1, and (ii) November 2020 when measures had reduced R_e to 1.00 (95%CrI 0.94-1.33). In this period schools remained open. Our model predicts that keeping schools closed after the summer holidays, in the absence of other measures, would have reduced R_e by 10% (from 1.31 to 1.18 (95%CrI 1.04-1.83)) and thus would not have prevented the second wave in autumn 2020. Reducing non-school-based contacts in August 2020 to the level observed during the first wave of the pandemic would have reduced R_e to 0.83 (95%CrI 0.75-1.10). Yet, this reduction was not achieved and the observed R_e in November was 1.00. Our model predicts that closing schools in November 2020 could reduce R_e from the observed value of 1.00 to 0.84 (95%CrI 0.81-0.90), with unchanged non-school based contacts. Reductions in R_e due to closing schools in November 2020 were 8% for 10 to 20 years old children, 5% for 5 to 10 years old children and negligible for 0 to 5 years old children. Conclusions: The impact of measures reducing school-based contacts, including school closure, depends on the remaining opportunities to reduce non-school-based contacts. If opportunities to reduce R_e with non-school-based measures are exhausted or undesired and R_e is still close to 1, the additional benefit of school-based measures may be considerable, particularly among the older school children.

scholarly journals Impaired Effective Functional Connectivity of the Sensorimotor Network in Interictal Episodic Migraineurs Without Aura

2020 ◽  
Author(s):  
Heng-Le Wei ◽  
Jing Chen ◽  
Yu-Chen Chen ◽  
Yu-Sheng Yu ◽  
Xi Guo ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Brain Regions ◽  
Angular Gyrus ◽  
Middle Temporal Gyrus ◽  
Causality Analysis ◽  
Imaging Data ◽  
Sensorimotor Network ◽  
The Right ◽  
The Impact

Abstract Background: Resting-state functional magnetic resonance imaging (Rs-fMRI) has confirmed sensorimotor network (SMN) dysfunction in migraine without aura (MwoA). However, the underlying mechanisms of SMN causal functional connectivity in MwoA remain unclear. We aimed to explore the association between clinical characteristics and effective functional connectivity in SMN, in interictal patients who have MwoA.Methods: We used Rs-fMRI to acquire imaging data in forty episodic patients with MwoA in the interictal phase and thirty-four healthy controls (HCs). Independent component analysis was used to profile the distribution of SMN and calculate the different SMN activity between the two groups. Subsequently, Granger causality analysis was used to analyze the effective causal connectivity between the SMN and other brain regions.Results: Compared to the HCs, MwoA patients showed higher activity in the bilateral postcentral gyri (PoCG) and supplementary motor areas, but lower activity in left Rolandic operculum/insula. Moreover, MwoA patients showed significantly causal connectivity from the SMN to the left calcarine sulcus, left middle temporal gyrus, right angular gyrus and right precuneus. There was also significant causal connectivity from the left calcarine sulcus, left inferior orbitofrontal cortex, right cuneus, right putamen and left inferior parietal lobule to the SMN. In the interictal period, there was positive correlation between the activity of the left PoCG and headache frequency (r = 0.410, p = 0.013), but negative correlation between the activity of the right PoCG and the impact of headache (r = -0.397, p = 0.016). In addition, the disease duration was directly proportional to the connectivity strength from the left PoCG to the right angular gyrus (r = 0.418, p = 0.011), and from the right PoCG to the left calcarine sulcus (r = 0.377, p = 0.023).Conclusions: These differential, resting-state functional activities of the SMN in episodic MwoA may contribute to the understanding of migraine-related intra- and internetwork imbalances associated with nociceptive regulation and chronification.

Frontotemporal resting state hypoperfusion in patients with major depression - a study using arterial spin labeling

2011 ◽  
Vol 26 (S2) ◽  
pp. 961-961 ◽  
Author(s):  
S. Walther ◽  
O. Höfle ◽  
A. Federspiel ◽  
H. Horn ◽  
W. Strik ◽  
...  
Keyword(s):  
Major Depression ◽  
Arterial Spin Labeling ◽  
Superior Temporal Gyrus ◽  
Spin Labeling ◽  
Depression Score ◽  
Middle Temporal Gyrus ◽  
Neural Function ◽  
Precentral Gyrus ◽  
The Right ◽  
Left Middle

IntroductionMajor depression is associated with altered neural function in frontal and limbic areas.ObjectivesThe findings have been inconsistent, especially those derived from cerebral blood flow (CBF) measures.AimsTo identify differences in regional CBF between patients and controls using arterial spin labeling (ASL) at rest.Methods20 patients with major depression and 20 matched healthy controls were scanned in the morning with a pCASL-sequence at a 3 T Siemens scanner. Mean Hamilton Depression Score (21 item version) was 26.2 ± 5.7 for patients, mean Beck Depression Inventory scores were 28.9 ± 8.9. Mean age did not differ between groups (39.6 vs. 44.4 years). Whole brain voxelwise T-Tests were correct for multiple comparisons using a False Discovery Rate of q < 0.05.ResultsMean global resting CBF was not different between groups (66.1 vs. 63.0 ml/100 mg/min, T = 0.95, p = 0.35). FDR correction at q < 0.05 led to a T-value threshold of 3.71 (p < 0.001) for group comparison. Hypoperfusion in patients was detected in left middle temporal gyrus, left middle frontal gyrus, right precentral gyrus. Hyperperfusion in patients was seen in the right superior temporal gyrus.ConclusionsASL revealed frontotemporal hypoperfusion in patients with major depression. This is in line with previous work and the current concept of depression. However, we were unable to replicate hyperperfusion in limibic areas.

scholarly journals Neurovascular coupling alterations in type 2 diabetes: a 5-year longitudinal MRI study

2021 ◽  
Vol 9 (1) ◽  
pp. e001433
Author(s):  
Yang Zhang ◽  
Xiaolu Zhang ◽  
Guangyang Ma ◽  
Wen Qin ◽  
Jiayang Yang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Resting State ◽  
Memory Performance ◽  
Neurovascular Coupling ◽  
Brain Regions ◽  
Precentral Gyrus ◽  
Time Points ◽  
The Right ◽  
Left Insula

IntroductionRespective alterations in resting-state brain neural activity and cerebral blood flow (CBF) in type 2 diabetes mellitus (T2DM) have been reported. However, their coupling alteration in T2DM remains largely unknown.Research design and methodsTwenty-seven patients with T2DM aged 40–67 years and 36 well-matched healthy controls (HCs) underwent resting-state functional MRI (rs-fMRI) and arterial spin labeling (ASL) scans at two time points with a 5-year interval. Regional homogeneity (ReHo) and CBF were calculated from rs-fMRI and ASL, respectively. The standardized ReHo:CBF ratio (mReHo:mCBF ratio), the spontaneous neuronal activity per unit CBF supply, was compared between the two time points. Relationships between the mReHo:mCBF ratio and memory performance were analyzed.ResultsOver 5 years, decreased mReHo:mCBF ratios in patients with T2DM were mainly distributed in four regions, among which the left insula exhibited more severely decreased mReHo:mCBF ratio in patients with T2DM than in HCs, while the left postcentral gyrus, the right Rolandic operculum, and the right precentral gyrus showed no significant intergroup difference. Correlations between the mReHo:mCBF ratio and memory performance were also found in patients with T2DM.ConclusionsThis study suggests that T2DM may accelerate neurovascular coupling impairment in specific brain regions (the left insula), contributing to memory decline. This study implies that the mReHo:mCBF ratio is a potential imaging marker for detecting neurovascular changes.

scholarly journals Comparison of Surface Area and Cortical Thickness Asymmetry in the Human and Chimpanzee Brain

2020 ◽  
Author(s):  
Li Xiang ◽  
Timothy J Crow ◽  
William D Hopkins ◽  
Neil Roberts
Keyword(s):  
Human Brain ◽  
Surface Area ◽  
Cortical Thickness ◽  
Cognitive Abilities ◽  
Occipital Lobe ◽  
Superior Temporal Gyrus ◽  
Occipital Cortex ◽  
Neural Substrates ◽  
Precentral Gyrus ◽  
The Right

Abstract Comparative study of the structural asymmetry of the human and chimpanzee brain may shed light on the evolution of language and other cognitive abilities in humans. Here we report the results of vertex-wise and ROI-based analyses that compared surface area (SA) and cortical thickness (CT) asymmetries in 3D MR images obtained for 91 humans and 77 chimpanzees. The human brain is substantially more asymmetric than the chimpanzee brain. In particular, the human brain has 1) larger total SA in the right compared with the left cerebral hemisphere, 2) a global torque-like asymmetry pattern of widespread thicker cortex in the left compared with the right frontal and the right compared with the left temporo-parieto-occipital lobe, and 3) local asymmetries, most notably in medial occipital cortex and superior temporal gyrus, where rightward asymmetry is observed for both SA and CT. There is also 4) a prominent asymmetry specific to the chimpanzee brain, namely, rightward CT asymmetry of precentral cortex. These findings provide evidence of there being substantial differences in asymmetry between the human and chimpanzee brain. The unique asymmetries of the human brain are potential neural substrates for cognitive specializations, and the presence of significant CT asymmetry of precentral gyrus in the chimpanzee brain should be further investigated.

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