scholarly journals Quantitative MRI Reveals Grey Matter Abnormalities in Children With Drug-Naïve Attention-Deficit/Hyperactivity Disorder

2021 ◽  
Author(s):  
Shu Su ◽  
Yingqian Chen ◽  
Yan Dai ◽  
Liping Lin ◽  
Long Qian ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Quantitative Mri ◽  
Adhd Group ◽  
General Linear Model Analysis ◽  
T2 Map ◽  
Drug Naïve ◽  
T1 And T2 ◽  
And Gender ◽  
Clinical Measurements ◽  
The Right

Abstract Purpose To investigate the quantitative profiles of brain GM in pediatric drug-naïve ADHD patients using Synthetic magnetic resonance imaging (SyMRI). Method and Materials: A total of 37 drug-naïve pediatric ADHD and 27 age- and gender-matched healthy controls (HC) were enrolled in this study. Each subject underwent both SyMRI and conventional 3D T1-FSPGR scans. Quantitative parameters, T1 and T2 maps, were extracted from the SyMRI data. Between-group quantitative maps were compared using a general linear model analysis. Pearson correlation analysis was conducted to assess the association between significantly altered MR indices and clinical measurements in ADHD. Results Compared with the HC group, altered T1 and T2 relaxometry times in the ADHD group were mainly distributed in GM regions of the cerebellum, attention and execution control network, default mode network, and limbic areas. Moreover, the T1 value of the right cerebellum 8 was negatively correlated with the attention concentration level in ADHD (R = 0.1401, P = 0.0225). With regards to T2 map, the associations were observed between the attention level of ADHD patients and left fusiform gyrus (R = 0.2509, P = 0.0016), and right cerebellum crus2 (R = 0.1422, P = 0.0214). Conclusion Altered T1, T2 values found in specific regions of GM may reveal widespread micromorphology changes, i.e., brain iron deficiency, low myelin content, and enlarged vascular interstitial space in ADHD patients. Thus, T1, T2 values might be promising imaging markers for future ADHD studies.

Plasma Leptin, Adiponectin, Neuropeptide Y Levels in Drug Naive Children With ADHD

2015 ◽  
Vol 22 (9) ◽  
pp. 896-900 ◽  
Author(s):  
Özlem Özcan ◽  
Müjgan Arslan ◽  
Serdal Güngör ◽  
Tuğba Yüksel ◽  
Mukadder Ayşe Selimoğlu
Keyword(s):  
Plasma Level ◽  
Neuropeptide Y ◽  
Underlying Mechanism ◽  
Control Group ◽  
Adhd Group ◽  
Healthy Children ◽  
Significant Difference ◽  
Drug Naïve ◽  
And Gender ◽  
Plasma Leptin

Objective: ADHD is one of the most common childhood psychiatric disorders. Research indicates that there is some link between obesity/overweight and ADHD, though the mechanism of this association remains uncertain. It is the aim of the present study to explore the association between ADHD, obesity, and plasma leptin, neuropeptide Y (NPY), and adiponectin levels. Method: Thirty-six patients diagnosed with ADHD were included in the study. The control group consisted of 40 healthy children and adolescents who had similar age and gender features with the patient group. Plasma leptin, adiponectin, NPY levels were measured, and body mass index (BMI), weight for height, and standard deviation scores (SDS) of height, weight, and BMI were calculated. Results: No significant difference was found between patients and healthy children in terms of BMI and BMI percentile. Participants were classified into three groups according to their weight to height values. There was no significant difference between the two groups, but 10% of the control group and 30.6% of the ADHD group were classified as overweight, which was 3 times higher than the control group. The adiponectin plasma level was significantly lower and leptin/adiponectin (L/A) ratio was significantly higher in the ADHD group. There was no significant difference between serum NPY levels. In the ADHD group, the mean leptin plasma level was high, but was not statistically significant. Conclusion: We think that a low adiponectin level and high L/A ratio may be the underlying mechanism of the obesity in ADHD patients.

scholarly journals MR relaxometry-based analysis of brain hemorrhages: an experimental study on a rabbit model

2021 ◽  
Author(s):  
Francesca Del Signore ◽  
Massimo Vignoli ◽  
Leonardo Della Salda ◽  
Roberto Tamburro ◽  
Ilaria Cerasoli ◽  
...  
Keyword(s):  
Large Scale ◽  
Relaxation Times ◽  
Rabbit Model ◽  
Quantitative Mri ◽  
T2 Map ◽  
Mr Relaxometry ◽  
The Subject ◽  
T1 And T2 ◽  
Tissue Relaxation ◽  
Brain Hemorrhages

AbstractMagnetic Resonance Relaxometry is a quantitative MRI-based technique able to estimate tissue relaxation times T1 and T2. This approach allows increasing the MRI diagnostic accuracy mostly in case of brain neoplasia or neurodegenerative disorders in human medicine. However, few reports are available on the application of this technique in the clinical field of veterinary medicine. For this reason, in this work, we developed a relaxometry based approach on experimentally induced brain hemorrhages on rabbits. Specifically, the methodology is based on a hierarchical clustering procedure driven by the T1 relaxometry signals from a set of regions of interest selected on the T2 map. The approach is multivariate since it combines both T1 and T2 information and allows the diagnosis at the subject level by comparing “suspected” pathological regions with healthy homologous ones within the same brain.To validate the proposed technique, the scanned brains underwent histopathological analyses to estimate the performance of the proposed classifier in terms of Receiver Operator Curve analyses. The results showed that, in terms of identification of the lesion and its contours, the proposed approach resulted accurate and outperformed the standard techniques based on T1w and T2w images. Finally, since the proposed protocol in terms of the adopted scanner, sequences, and analysis tools, is suitable for the clinical practice, it can be potentially validated through large-scale multi-center clinical studies.

Biomechanical characteristics of allogeneic cortical bone pins designed for fracture fixation

2008 ◽  
Vol 21 (02) ◽  
pp. 140-146
Author(s):  
M. R. Edwards ◽  
S. P. James ◽  
W. S. Dernell ◽  
R. J. Scott ◽  
A. M. Bachand ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Cortical Bone ◽  
Fracture Fixation ◽  
Impact Testing ◽  
Left Tibia ◽  
Four Point Bending ◽  
And Gender ◽  
The Right ◽  
Biomechanical Comparison ◽  
Better Than

SummaryThe biomechanical characteristics of 1.2 mm diameter allogeneic cortical bone pins harvested from the canine tibia were evaluated and compared to 1.1 mm diameter stainless steel pins and 1.3 mm diameter polydioxanone (PDS) pins using impact testing and four-point bending. The biomechanical performance of allogeneic cortical bone pins using impact testing was uniform with no significant differences between sites, side, and gender. In four-point bending, cortical bone pins harvested from the left tibia (204.8 ± 77.4 N/mm) were significantly stiffer than the right tibia (123.7 ± 54.4 N/mm, P=0.0001). The site of bone pin harvest also had a significant effect on stiffness, but this was dependent on interactions with gender and side. Site C in male dogs had the highest mean stiffness in the left tibia (224.4 ± 40.4 N/mm), but lowest stiffness in the right tibia (84.9 ± 24.2 N/mm). Site A in female dogs had the highest mean stiffness in the left tibia (344.9 ± 117.4 N/mm), but lowest stiffness in the right tibia (60.8 ± 3.7 N/mm). The raw and adjusted bending properties of 1.2 mm cortical bone pins were significantly better than 1.3 mm PDS pins, but significantly worse than 1.1 mm stainless steel pins (P<0.0001). In conclusion, cortical bone pins may be suitable as an implant for fracture fixation based on initial biomechanical comparison to stainless steel and PDS pins used in clinical practice.

scholarly journals Pulmonary hydatidosis genotypes isolates from human clinical surgery based on sequencing of mitochondrial genes in Fars, Iran

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Parviz Mardani ◽  
Ali Talebi Ezabadi ◽  
Bahareh Sedaghat ◽  
Seyed Mahmoud Sadjjadi
Keyword(s):  
Hydatid Cyst ◽  
Statistical Correlation ◽  
Left Lobe ◽  
Cox1 Gene ◽  
Fars Province ◽  
Study Population ◽  
Right Lobe ◽  
And Gender ◽  
The Right ◽  
Pulmonary Hydatid Cyst

Abstract Background Cystic echinococcosis (CE)/hydatidosis is an important neglected parasitic zoonotic disease caused by the metacestode of Echinococcus granulosus s.l. The present study was designed to identify the pulmonary CE species/genotypes in isolated human underwent to surgery in our center in Southern Iran. Methods The study population of this study were all patients in Fars province who were admitted to Namazi Hospitals for pulmonary hydatid cyst surgery. Thoracic surgery was performed in the thoracic ward and the cyst/s was removed by open surgery via posterolateral or lateral thoracotomy. DNA was extracted from the germinal layer or the protoscoleces. PCR technique was performed using the cytochrome C oxidase subunit1 (cox1) gene, and the products were sequenced. Results A total of 32 pulmonary hydatid cyst samples were collected from 9 (28%) female and 23 (72%) male aged from 4 to 74 years old. A total of 18(56%) cyst/s were in the left lobe and 14 (44%) cysts in the right lobe. Sequence analysis of the cysts showed that 24 samples (75%) were E. granulosus s.s (G1-G3) genotype and 8 (25%) were E. canadensis (G6/G7) genotype. Conclusion E.granulosus s.s genotype was the most prevalent genotype followed by E. canadensis (G6/G7) genotype. There was no significant statistical correlation between cysts’ size, location, genotype strain, and patients’ age and gender.

scholarly journals 0327 NREM Sleep EEG in Typically Developing and Drug-Naïve ADHD Adolescents: Data from a Longitudinal Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A124-A124
Author(s):  
T Basishvili ◽  
M Eliozishvili ◽  
T Oniani ◽  
T Tchintcharauli ◽  
I Sakhelashvili ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Nrem Sleep ◽  
Sleep Eeg ◽  
Brain Maturation ◽  
Adhd Group ◽  
Typically Developing ◽  
Eeg Activity ◽  
Theta Power ◽  
Delta Power ◽  
Drug Naïve

Abstract Introduction Structural MRI studies suggest delayed brain maturation in children with attention deficit hyperactivity disorder (ADHD). The steep adolescent decline in sleep slow wave EEG activity provides an opportunity to investigate brain electrophysiological evidence for this maturational delay. Most ADHD sleep EEG studies have been cross-sectional. Here we present data from an ongoing longitudinal study of the maturational trajectories of sleep EEG in drug-naïve ADHD and typically developing adolescents. Methods Nine children diagnosed with ADHD (combined subtype, DSM-V criteria, mean age 12.39±0.61 years), and nine typically developing controls (12.07±0.35 years) were recruited. Subjects underwent an adaptation night and all night polysomnography twice yearly at the Laboratory. Sleep EEG was analyzed using fast Fourier transform. NREM delta and theta EEG activity were compared across first two recordings. Results Group effects (ADHD vs. control) on all night delta and theta energy, and delta power were not significant (p&gt;0.2 for all). All night theta power was lower (p=0.035) for the ADHD group, and all night NREM sleep duration trended (p=0.060) toward being lower for the ADHD group. Controlling for sleep duration differences by examining only the first 5 h of NREM sleep showed no group effect on delta power (p=0.77) and a trend toward lower theta power (p=0.057) for the ADHD group. Conclusion At age 12 to 13 years, NREM sleep delta EEG did not differ between ADHD and control subjects. Theta power, which declines at a younger age than delta, was lower in control subjects. The two recordings thus far differ only by 6 months. The entire study will provide 5 semiannual recordings and allow us to determine if the higher theta power in the ADHD group will hold and if delta power will be greater as well, and thus provide electrophysiological support for the delayed brain maturation suggested by MRI findings. Support Shota Rustaveli National Science Foundation Grant FR17_94; Subjects Recruitment Support - Mental Health Service in Tbilisi “Kamara”.

scholarly journals Longer T2relaxation time is a marker of hypothalamic gliosis in mice with diet-induced obesity

2013 ◽  
Vol 304 (11) ◽  
pp. E1245-E1250 ◽  
Author(s):  
Donghoon Lee ◽  
Joshua P. Thaler ◽  
Kathryn E. Berkseth ◽  
Susan J. Melhorn ◽  
Michael W. Schwartz ◽  
...  
Keyword(s):  
Relaxation Time ◽  
High Field ◽  
Relaxation Times ◽  
Quantitative Mri ◽  
Human Studies ◽  
Mri Findings ◽  
Diet Induced Obesity ◽  
Magnetic Resonance Imaging Mri ◽  
The Right ◽  
Mr Brain

A hallmark of brain injury from infection, vascular, neurodegenerative, and other disorders is the development of gliosis, which can be detected by magnetic resonance imaging (MRI). In rodent models of diet-induced obesity (DIO), high-fat diet (HFD) consumption rapidly induces inflammation and gliosis in energy-regulating regions of the mediobasal hypothalamus (MBH), and recently we reported MRI findings suggestive of MBH gliosis in obese humans. Thus, noninvasive imaging may obviate the need to assess MBH gliosis using histopathological end points, an obvious limitation to human studies. To investigate whether quantitative MRI is a valid tool with which to measure MBH gliosis, we performed analyses, including measurement of T2relaxation time from high-field MR brain imaging of mice fed HFD and chow-fed controls. Mean bilateral T2relaxation time was prolonged significantly in the MBH, but not in the thalamus or cortex, of HFD-fed mice compared with chow-fed controls. Histological analysis confirmed evidence of increased astrocytosis and microglial accumulation in the MBH of HFD-fed mice compared with controls, and T2relaxation times in the right MBH correlated positively with mean intensity of glial fibrillary acidic protein staining (a marker of astrocytes) in HFD-fed animals. Our findings indicate that T2relaxation time obtained from high-field MRI is a useful noninvasive measurement of HFD-induced gliosis in the mouse hypothalamus with potential for translation to human studies.

scholarly journals Exploring Gender Differences in Support for Rightist Parties: The Role of Party and Gender Ideology

2018 ◽  
Vol 14 (01) ◽  
pp. 80-105 ◽  
Author(s):  
Rosie Campbell ◽  
Silvia Erzeel
Keyword(s):  
Gender Differences ◽  
Western Europe ◽  
Gender Ideology ◽  
Radical Right ◽  
Special Issue ◽  
Gender Ideologies ◽  
Populist Radical Right ◽  
And Gender ◽  
The Right

This contribution to the Special Issue on Gender and Conservatism uses expert and election surveys to explore the extent to which the feminist or traditional gender ideology of parties of the right relates to their economic and liberal/authoritarian ideology. We show that although parties of the left generally espouse more feminist ideologies than parties of the right, there are a significant number of rightist parties in Western Europe that combine laissez-faire economic values with liberal feminist ideals. That said, there is more homogeneity among parties of the populist radical right than rightist parties more generally. We find that despite some variation in their gender ideology, parties of the populist radical right overwhelmingly—with the exception of one party in the Netherlands—continue to adopt traditional or antifeminist gender ideologies. In terms of attracting women voters, we find that rightist parties who adopt a feminist gender ideology are able to attract more women voters than other parties of the right. We detect several examples of center-right parties that include feminist elements in their gender ideologies and are able to win over larger proportions of women voters than rightist parties that fail to adopt feminist positions.

Converting Raw Accelerometer Data to Activity Counts Using Open-Source Code: Implementing a MATLAB Code in Python and R, and Comparing the Results to ActiLife

2021 ◽  
pp. 1-7
Author(s):  
Ruben Brondeel ◽  
Yan Kestens ◽  
Javad Rahimipour Anaraki ◽  
Kevin Stanley ◽  
Benoit Thierry ◽  
...  
Keyword(s):  
Open Source ◽  
Pearson Correlation ◽  
Vertical Axis ◽  
Accelerometer Data ◽  
Accelerometer Sensor ◽  
Interclass Correlation ◽  
Acceleration Data ◽  
The Right ◽  
Pearson Correlations ◽  
Closed Source

Background: Closed-source software for processing and analyzing accelerometer data provides little to no information about the algorithms used to transform acceleration data into physical activity indicators. Recently, an algorithm was developed in MATLAB that replicates the frequently used proprietary ActiLife activity counts. The aim of this software profile was (a) to translate the MATLAB algorithm into R and Python and (b) to test the accuracy of the algorithm on free-living data. Methods: As part of the INTErventions, Research, and Action in Cities Team, data were collected from 86 participants in Victoria (Canada). The participants were asked to wear an integrated global positioning system and accelerometer sensor (SenseDoc) for 10 days on the right hip. Raw accelerometer data were processed in ActiLife, MATLAB, R, and Python and compared using Pearson correlation, interclass correlation, and visual inspection. Results: Data were collected for a combined 749 valid days (>10 hr wear time). MATLAB, Python, and R counts per minute on the vertical axis had Pearson correlations with the ActiLife counts per minute of .998, .998, and .999, respectively. All three algorithms overestimated ActiLife counts per minute, some by up to 2.8%. Conclusions: A MATLAB algorithm for deriving ActiLife counts was implemented in R and Python. The different implementations provide similar results to ActiLife counts produced in the closed source software and can, for all practical purposes, be used interchangeably. This opens up possibilities to comparing studies using similar accelerometers from different suppliers, and to using free, open-source software.

scholarly journals Microstructural properties of the vertical occipital fasciculus explain the variability in human stereoacuity

2018 ◽  
Vol 115 (48) ◽  
pp. 12289-12294 ◽  
Author(s):  
Hiroki Oishi ◽  
Hiromasa Takemura ◽  
Shuntaro C. Aoki ◽  
Ichiro Fujita ◽  
Kaoru Amano
Keyword(s):  
White Matter ◽  
Discrimination Performance ◽  
Quantitative Mri ◽  
Psychophysical Experiment ◽  
Microstructural Properties ◽  
White Matter Tracts ◽  
Depth Discrimination ◽  
Visual Areas ◽  
Highly Correlated ◽  
The Right

Stereopsis is a fundamental visual function that has been studied extensively. However, it is not clear why depth discrimination (stereoacuity) varies more significantly among people than other modalities. Previous studies have reported the involvement of both dorsal and ventral visual areas in stereopsis, implying that not only neural computations in cortical areas but also the anatomical properties of white matter tracts connecting those areas can impact stereopsis. Here, we studied how human stereoacuity relates to white matter properties by combining psychophysics, diffusion MRI (dMRI), and quantitative MRI (qMRI). We performed a psychophysical experiment to measure stereoacuity and, in the same participants, we analyzed the microstructural properties of visual white matter tracts on the basis of two independent measurements, dMRI (fractional anisotropy, FA) and qMRI (macromolecular tissue volume; MTV). Microstructural properties along the right vertical occipital fasciculus (VOF), a major tract connecting dorsal and ventral visual areas, were highly correlated with measures of stereoacuity. This result was consistent for both FA and MTV, suggesting that the behavioral–structural relationship reflects differences in neural tissue density, rather than differences in the morphological configuration of fibers. fMRI confirmed that binocular disparity stimuli activated the dorsal and ventral visual regions near VOF endpoints. No other occipital tracts explained the variance in stereoacuity. In addition, the VOF properties were not associated with differences in performance on a different psychophysical task (contrast detection). These series of experiments suggest that stereoscopic depth discrimination performance is, at least in part, constrained by dorso-ventral communication through the VOF.

Relation of Maximal Ankle Dorsiflexion Angle and Passive Resistive Torque to Passive-Elastic Stiffness of Ankle Dorsiflexion Stretch

2002 ◽  
Vol 95 (1) ◽  
pp. 323-325 ◽  
Author(s):  
Richard L. Gajdosik ◽  
Ann K. Williams
Keyword(s):  
Multiple Regression ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Elastic Stiffness ◽  
Ankle Dorsiflexion ◽  
Regression Analyses ◽  
Moderate Correlation ◽  
Ankle Stiffness ◽  
Resistive Torque ◽  
Clinical Measurements

The maximal passive ankle dorsiflexion angle and the maximal passive resistive torque at this angle were measured for 81 women 20 to 84 years of age and correlated with the passive-elastic stiffness (stiffness) of an ankle dorsiflexion stretch. Pearson correlation coefficients and multiple regression analyses were used to examine whether the two clinical measurements could predict ankle stiffness. The maximal passive resistive torque showed a moderate correlation with stiffness in the full stretch range ( r = .69) and high correlation with stiffness in the last half of the full stretch range ( r = .84). The maximal dorsiflexion angle showed a low correlation with stiffness in the full stretch range ( r = .27) and in the last half of the full stretch range ( r = .36). The maximal passive resistive torque and the dorsiflexion angle together accounted for 54% of the stiffness variance in the full stretch range and 76% of the stiffness variance in the last half of the full stretch range. Thus, the clinical measurements of the maximal passive dorsiflexion angle and the maximal passive resistive torque were directly and significantly related to the ankle dorsiflexion passive-elastic stiffness and good predictors of stiffness in the last half of the passive ankle dorsiflexion stretch.

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