Subregional Analysis Research Articles

Vulnerability to Climate Change: A Sub-regional Analysis of Socio-economic and Agriculture Sectors in Karnataka, India

Vulnerability assessments can play a vital role in the designing of appropriate adaptation and mitigation policies targeted towards climate change and its impacts on ecosystems, and for those who depend upon the sensitive resources for their livelihoods and well-being. Vulnerability is often reflected in the economic system as well as the socio-economic features of the population living in that system. This article attempts to build a picture of the socio-economic context of vulnerability by focusing on indicators that measure both the state of socio-economic development of the people as well as their capacity to progress further. The result of agricultural vulnerability index suggests indicators such as cropping intensity, gross irrigated area and commercial crop area are the major drivers in determining the vulnerability of the districts of Karnataka. The socio-economic and livelihood index depicts indicators like per capita income, population density and percentage of literacy rate are the major drivers and contribute to the overall livelihood vulnerability of districts.

Cerebellar contribution to motor and cognitive performance in multiple sclerosis: An MRI sub-regional volumetric analysis

Objective: To investigate the role of cerebellar sub-regions on motor and cognitive performance in multiple sclerosis (MS) patients. Methods: Whole and sub-regional cerebellar volumes, brain volumes, T2 hyperintense lesion volumes (LV), and motor performance scores were obtained from 95 relapse-onset MS patients and 32 healthy controls (HC). MS patients also underwent an evaluation of working memory and processing speed functions. Cerebellar anterior and posterior lobes were segmented using the Spatially Unbiased Infratentorial Toolbox (SUIT) from Statistical Parametric Mapping (SPM12). Multivariate linear regression models assessed the relationship between magnetic resonance imaging (MRI) measures and motor/cognitive scores. Results: Compared to HC, only secondary progressive multiple sclerosis (SPMS) patients had lower cerebellar volumes (total and posterior cerebellum). In MS patients, lower anterior cerebellar volume and brain T2 LV predicted worse motor performance, whereas lower posterior cerebellar volume and brain T2 LV predicted poor cognitive performance. Global measures of brain volume and infratentorial T2 LV were not selected by the final multivariate models. Conclusion: Cerebellar volumetric abnormalities are likely to play an important contribution to explain motor and cognitive performance in MS patients. Consistently with functional mapping studies, cerebellar posterior–inferior volume accounted for variance in cognitive measures, whereas anterior cerebellar volume accounted for variance in motor performance, supporting the assessment of cerebellar damage at sub-regional level.

Specialization of the Right Intraparietal Sulcus for Processing Mathematics During Development.

Mathematical ability, especially perception of numbers and performance of arithmetics, is known to rely on the activation of intraparietal sulcus (IPS). However, reasoning ability and working memory, 2 highly associated abilities also activate partly overlapping regions. Most studies aimed at localizing mathematical function have used group averages, where individual variability is averaged out, thus confounding the anatomical specificity when localizing cognitive functions. Here, we analyze the functional anatomy of the intraparietal cortex by using individual analysis of subregions of IPS based on how they are structurally connected to frontal, parietal, and occipital cortex. Analysis of cortical thickness showed that the right anterior IPS, defined by its connections to the frontal lobe, was associated with both visuospatial working memory, and mathematics in 6-year-old children. This region specialized during development to be specifically related to mathematics, but not visuospatial working memory in adolescents and adults. This could be an example of interactive specialization, where interacting with the environment in combination with interactions between cortical regions leads from a more general role of right anterior IPS in spatial processing, to a specialization of this region for mathematics.

Alterations in Quadriceps Voluntary Force Control Following Anterior Cruciate Ligament Injury

Although quadriceps strength is important following ACL injury, maximal activation of the quadriceps is rare during sporting situations and activities of daily living. Furthermore, functional stability of the knee joint depends on both adequate strength and the ability to produce force accurately. Previous studies assessing quadriceps force control following ACL injury have utilized constant sub-maximal isometric target forces. However, during most functional activities the quadriceps muscles are required to produce fluctuating force levels. Thus, the use of a testing protocol involving a cyclical or varying target force may better approximate quadriceps forces during functional activities. PURPOSE: To examine submaximal quadriceps force control in individuals with an ACL injury using a cyclical force target. METHODS: Eighteen (18) individuals (12M/6F; 29.8 ± 8.7years) within 8 months of unilateral isolated ACL injury (69.5 ± 42.5 days post-injury) and 18 healthy controls (12M/6F; 29.2 ± 6.8years) participated in the study. Participants performed an isometric quadriceps contraction to match an increasing force ramp from 5% to 25% body weight (BW), after which the ramp gradually reduced from 25% to 5% BW (0.10Hz). Four trials of 60s with 60s rest in between were performed. The root mean square error (RMSE) of quadriceps torque relative to target torque was determined, and compared between groups and limbs using a 2x2 ANOVA with repeated measures on limb. Sub-regional analysis assessed accuracy of force control over an increasing (ascending RMSE) and decreasing (descending RMSE) force ramp. RESULTS: There was significantly greater overall RMSE in both limbs of the ACL group compared to healthy controls (3.36 ± 1.8 %BW INV limb; 3.28 ± 1.2 %BW UNINV limb; 2.40 ± 0.61 %BW CONT; 2.40 ± 0.58 %BW UNINV CONT P=0.032). The ACL group had significantly higher descending RMSE in both limbs compared to healthy controls (3.92 ± 2.8 INV limb; 3.39 ± 1.6 UNINV limb; 2.43 ± 0.61 CONT; 2.36 ± 0.52 UNINV CONT P=0.035). Ascending RMSE did not differ between the ACL and control group limbs (P>0.05) CONCLUSIONS: There are significant bilateral deficits in submaximal quadriceps force control after ACL injury, compared to healthy controls, potentially contributing to altered knee function after ACL injury.

Spatiotemporal patterns of mercury accumulation in lake sediments of western North America

For the Western North America Mercury Synthesis, we compiled mercury records from 165 dated sediment cores from 138 natural lakes across western North America. Lake sediments are accepted as faithful recorders of historical mercury accumulation rates, and regional and sub-regional temporal and spatial trends were analyzed with descriptive and inferential statistics. Mercury accumulation rates in sediments have increased, on average, four times (4×) from 1850 to 2000 and continue to increase by approximately 0.2μg/m2 per year. Lakes with the greatest increases were influenced by the Flin Flon smelter, followed by lakes directly affected by mining and wastewater discharges. Of lakes not directly affected by point sources, there is a clear separation in mercury accumulation rates between lakes with no/little watershed development and lakes with extensive watershed development for agricultural and/or residential purposes. Lakes in the latter group exhibited a sharp increase in mercury accumulation rates with human settlement, stabilizing after 1950 at five times (5×) 1850 rates. Mercury accumulation rates in lakes with no/little watershed development were controlled primarily by relative watershed size prior to 1850, and since have exhibited modest increases (in absolute terms and compared to that described above) associated with (regional and global) industrialization. A sub-regional analysis highlighted that in the ecoregion Northwestern Forest Mountains, <1% of mercury deposited to watersheds is delivered to lakes. Research is warranted to understand whether mountainous watersheds act as permanent sinks for mercury or if export of “legacy” mercury (deposited in years past) will delay recovery when/if emissions reductions are achieved.

Cerebellar Contribution to Motor and Cognitive Impairment in Multiple Sclerosis Patients: A Sub-Regional Structural MRI Analysis (P4.128)

Cerebellar Contribution to Motor and Cognitive Impairment in Multiple Sclerosis Patients: A Sub-Regional Structural MRI Analysis (P4.128)

Diffusion tensor imaging of white and grey matter within the spinal cord of normal Beagle dogs: Sub-regional differences of the various diffusion parameters

Diffusion tensor imaging (DTI) is an advanced diffusion weighted imaging technique that can identify early stage lesions and Wallerian degeneration within the spinal cord; these changes are difficult to recognise on conventional magnetic resonance imaging (MRI). The only DTI parameters previously investigated in dogs are fractional anisotropy and mean diffusivity (MD). The aim of this study was to evaluate multiple DTI parameters in sub-regional areas of the spinal cord in normal Beagles. All imaging data were obtained from the lumbar spinal cord (L1–L3) of ten normal dogs using a 3 Tesla MRI scanner. Transverse multi-shot echo planar imaging sequences (b values = 0 and 800 s/mm2; 12 directions) were used for DTI. Regions of interest were selected from sub-regions of the white and grey matter, and from the whole spinal cord, in the transverse plane in all DTI maps. The DTI parameters in spinal cord sub-regions in the transverse plane were significantly different amongst the white matter, grey matter and whole spinal cord (P < 0.05 for all DTI parameters except MD), as well as between white matter sub-regions (P < 0.05 for most DTI parameters except radial diffusivity, MD and planar index). DTI-based sub-regional analysis of white and grey matter may be useful for regional evaluation of the dog spinal cord.

Sub-regional snow cover distribution across the southern Appalachian Mountains

Snowfall in the Southern Appalachian Mountain region of the eastern US is characterized by much spatiotemporal variability. Annual snowfall totals vary by up to 75 cm, and variations in snowfall intensity can lead to large differences in the local snowfall distribution. Research has shown that the synoptic pattern associated with the snowfall strongly influences the regional-scale distribution of snow cover. However, topographic variability results in locally complex snow cover patterns that are not well understood or documented. In this study, we characterize the snow covered area (SCA) and fractional snow cover associated with different synoptic patterns in 14 individual sub-regions. We analyze 63 snow events using Moderate-resolution Imaging Spectroradiometer standard snow cover products to ascertain both qualitative and quantitative differences in snow cover across sub-regions. Among sub-regions, there is significant variation in the snow cover pattern from individual synoptic classes. Furthermore, the percent SCA follows the regional snowfall climatology, and sub-regions with the highest elevations and northerly latitudes exhibit the greatest variability. Results of the sub-regional analysis provide valuable guidance to forecasters by contributing a deeper understanding of local snow cover patterns and their relationship to synoptic-scale circulation features.

Magnetic resonance imaging reveals the complementary effects of decongestant and Breathe Right Nasal Strips on internal nasal anatomy.

This magnetic resonance imaging (MRI) study of 26 subjects with nasal congestion was performed to assess in the complete nasal passage both the anatomical effect of the marketed Breathe Right Nasal Strip (BRNS) relative to placebo and the potential adjunctive effect of using a decongestant in combination with the BRNS. Randomized, crossover study. The study consisted of two parts, the first involving application of either the BRNS or the placebo strip in a randomized, crossover design with evaluator blinding, and repeated MRI scanning; and the second a sequential process of decongestant administration, MRI scanning, application of the BRNS, and repeated MRI. The same anatomical MRI protocol was used throughout. Nasal patency was assessed in the whole nasal passage and eight subregions (by inferior-superior, anterior-posterior division). Numerical response scores representing subjective nasal congestion were also obtained. Results demonstrate significant anatomical enlargement with the BRNS relative to placebo (P < .001), as well as an additive effect of using a decongestant in combination with the BRNS; both supported by a strong and significant negative correlation with the subjective nasal response measures of nasal congestion (r = -0.98, P = .002). Furthermore, analysis of the nasal subregions indicates that this adjunctive effect arises from a partially localized action of the complementary products: the BRNS acting primarily anteriorly in the nose and the decongestant mainly posteriorly. The BRNS alone significantly increases nasal patency and alleviates perceived nasal congestion, and additional relief of symptoms can be obtained with simultaneous use of a decongestant. 1b. Laryngoscope, 126:2205-2211, 2016.

Dysfunctional decision-making related to white matter alterations in bipolar I disorder

ObjectiveThis study investigated how frontal white matter (WM) alterations in patients with bipolar I disorder (BD-I) are linked to motivational dysregulation, often reported in the form of risk-taking and impulsivity, and whether structure–function relations in patients might differ from healthy subjects (HC). MethodWe acquired diffusion data from 24 euthymic BD-I patients and 24 controls, to evaluate WM integrity of selected frontal tracts. Risk-taking was assessed by the Cambridge Gambling Task and impulsivity by self-report with the Barratt-Impulsiveness Scale. ResultsBD-I patients displayed significantly lower integrity in the right cingulum compared to HC. They also showed more risk-taking behavior and reported increased trait-impulsivity. Risk-taking was negatively associated with WM integrity in the right cingulum. Impulsivity was not related to WM integrity in investigated tracts. Together with age and sex, FA in the cingulum explained 25% of variance in risk-taking scores in all study participants. The left inferior fronto-occipital fasciculus (IFOF) was specifically predictive of risk-taking behavior in BD-I patients, but not in HC. LimitationsThe employed parameters did not allow us to specify the exact origin of WM changes, nor did the method allow the analysis of specific brain subregions. Also, sample size was moderate and the sample included patients with lifetime alcohol dependence/abuse, hence effects found need replication and have to be interpreted with caution. ConclusionOur results further strengthen recent models linking structural changes in frontal networks to behavioral markers of BD-I. They extend recent findings by showing that risk-taking is also linked to the cingulum in BD-I and HC, while other prefrontal tracts (IFOF) are specifically implicated in risk-taking behavior in BD-I patients. Meanwhile, self-reported impulsivity was not associated with WM integrity of the tracts investigated in our study.

The Selection of Trade Integration Indicators: Intraregional Share, Intensity, Homogeneous Intensity, and Introversion Index

This paper attempts to provide a clear and comprehensive picture of trade integration in Asia, using a trade linkage diagram. The paper reviews four types of indicators (share, intensity, homogeneous intensity, and introversion index) and argues that the introversion index is the most suitable indicator for the comparison of the level of trade integration, both in terms of cross-regional comparisons and time series analyses. Next, since Asia is a group of heterogeneous economies and the level of integration across subregions is not consistent, the paper includes a subregional analysis of trade integration in Asia. The analysis includes the (i) regional introversion of each subregion, (ii) intersubregional trade linkage, and (iii) extraregional trade linkage of each subregion. The subregional trade linkage diagram based on the introversion index provides us with a snapshot of trade integration, which is useful for both scholars and policy makers. At a glance, we can understand who trades more than others, and with whom.

Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification.

BackgroundEach lung structure exhales a unique pattern of aerosols, which can be used to detect and monitor lung diseases non-invasively. The challenges are accurately interpreting the exhaled aerosol fingerprints and quantitatively correlating them to the lung diseases.Objective and MethodsIn this study, we presented a paradigm of an exhaled aerosol test that addresses the above two challenges and is promising to detect the site and severity of lung diseases. This paradigm consists of two steps: image feature extraction using sub-regional fractal analysis and data classification using a support vector machine (SVM). Numerical experiments were conducted to evaluate the feasibility of the breath test in four asthmatic lung models. A high-fidelity image-CFD approach was employed to compute the exhaled aerosol patterns under different disease conditions.FindingsBy employing the 10-fold cross-validation method, we achieved 100% classification accuracy among four asthmatic models using an ideal 108-sample dataset and 99.1% accuracy using a more realistic 324-sample dataset. The fractal-SVM classifier has been shown to be robust, highly sensitive to structural variations, and inherently suitable for investigating aerosol-disease correlations.ConclusionFor the first time, this study quantitatively linked the exhaled aerosol patterns with their underlying diseases and set the stage for the development of a computer-aided diagnostic system for non-invasive detection of obstructive respiratory diseases.

Detection of recent regional sea surface temperature warming in the Caribbean and surrounding region

AbstractWe show a sea surface temperature (SST) warming trend for the Caribbean and surrounding region over 1982–2012. Using an optimum interpolated SST product, a 30 year climatological analysis was generated to observe annual, monthly, and seasonal trends. Results show that SSTs are increasing annually for the region. For the two Caribbean rainy seasons, the Early Rainfall Season (ERS) and the Late Rainfall Season (LRS), estimated trends at 0.0161°C yr−1 and 0.0209°C yr−1 were observed, with high statistical significance. Subregional analysis revealed that warming is greatest in the Gulf of Mexico and north of South America during the ERS and LRS. Additionally, LRS averages for 1998–2012 reflect an increase in magnitude and intensity of the Atlantic Warm Pool (AWP) since the 1983–1997 period reflected in the AWP Area Index. Extreme increases/decreases in the time series show potential correlation with El Niño and the Southern Oscillation.

Striatal dopamine type 2 receptor availability in anorexia nervosa

The neurobiology of anorexia nervosa remains incompletely understood. Here we utilized PET imaging with the radiotracer [11C]raclopride to measure striatal dopamine type 2 (D2) receptor availability in patients with anorexia nervosa. 25 women with anorexia nervosa who were receiving treatment in an inpatient program participated, as well as 25 control subjects. Patients were scanned up to two times with the PET tracer [11C]raclopride: once while underweight, and once upon weight restoration. Control subjects underwent one PET scan. In the primary analyses, there were no significant differences between underweight patients (n=21) and control subjects (n=25) in striatal D2 receptor binding potential. Analysis of subregions (sensorimotor striatum, associative striatum, limbic striatum) did not reveal differences between groups. In patients completing both scans (n=15), there were no detectable changes in striatal D2 receptor binding potential after weight restoration. In this sample, there were no differences in striatal D2 receptor binding potential between patients with anorexia nervosa and control subjects. Weight restoration was not associated with a change in striatal D2 receptor binding. These findings suggest that disturbances in reward processing in this disorder are not attributable to abnormal D2 receptor characteristics, and that other reward-related neural targets may be of greater relevance.

Evaluation of multiple regional climate models for summer climate extremes over East Asia

In this study, five regional climate models (RCMs) participating in the CORDEX-East Asia project (HadGEM3-RA, RegCM4, SNU-MM5, SNU-WRF, and YSU-RSM) are evaluated in terms of their performances in simulating the climatology of summer extremes in East Asia. Seasonal maxima of daily mean temperature and precipitation are analyzed using the generalized extreme value method. RCMs show systematic bias patterns in both seasonal means and extremes. A cold bias is located along the coast, whereas a warm bias occurs in northern China. Overall, wet bias occurs in East Asia, but with a substantial dry bias centered in South Korea. This dry bias appears to be related to the colder ocean surface around South Korea, positioning the monsoonal front further south compared to observations. Taylor diagram analyses reveal that the models simulate temperature means more accurately compared to extremes because of the higher spatial correlation, whereas precipitation extremes are simulated better than their means because of the higher spatial variability. The latter implies that extreme rainfall events can be captured more accurately by RCMs compared to the driving GCM despite poorer simulation of mean rainfall. Inter-RCM analysis indicates a close relationship between the means and extremes in terms of model skills, but it does not show a clear relationship between temperature and precipitation. Sub-regional analysis largely supports the mean–extreme skill relationship. Analyses of frequency and intensity distributions of daily data for three selected sub-regions suggest that overall shifts of temperature distribution and biases in moderate–heavy precipitations contribute importantly to the seasonal mean biases.

Role of upper ocean processes in the seasonal SST evolution over tropical Indian Ocean in climate forecasting system

In this study role of upper ocean processes in the evolution of sea surface temperature (SST) seasonal variations over the tropical Indian Ocean (TIO) is investigated in climate forecast system version1 (CFSv1) and version2 (CFSv2). Analysis reveals that CFSv2 could capture seasonal evolution of SST, wind speed and mixed layer depth better than CFSv1 with some biases. Discrepancy in reproducing the evolution of seasonal SST in coupled models leads to bias in the spatial and temporal distribution of precipitation. This has motivated to carry out mixed layer heat budget analysis in determining seasonal evolution of TIO SST. Spatial pattern of mixed layer heat budget from observations and models suggest that the processes responsible for SST tendency differ from region to region over the TIO. Further it is found that models underestimated SST tendency compared to the observations. Misrepresentation of advective processes and heat flux (HF) over the TIO is mainly responsible for the distortion of seasonal SST change in the coupled models. Sub-regional heat budget analysis reveals that CFSv1 is unable to reproduce the annual cycle of mixed layer temperature (MLT) tendency over the Arabian Sea, while CFSv2 captured the annual cycle of SST with systematic cold bias. Misrepresentation of the annual cycles of net HF and horizontal advection (Hadv) are accountable for the low rate of change of MLT during most of the year. Hadv during summer season is underestimated by 50 and 25 % respectively in CFSv1 and CFSv2. Further, CFSv1 fails to simulate MLT tendency due to improper evolution of HF annual cycle over the Bay of Bengal. Though annual cycle of HF in CFSv2 is well represented over the Bay of Bengal, its contribution to MLT change is underestimated compared to observations. Over the southern TIO region, MLT tendency is dominated by HF and Hadv terms in both observations and models. Contribution of HF to the annual cycle of MLT tendency is underestimated in CFSv1 whereas it is overestimated in CFSv2. Contribution of Hadv to MLT change is underestimated by about 50 % in CFSv1 and 10–20 % in CFSv2 over southern TIO. These errors in HF and Hadv are associated with biases in HF components and surface wind representation. Evolution of lead–lag relationship between HF and MLT/SST in both the observations and models suggest the importance of HF in SST evolution over the TIO region. Over all, CFSv2 produced better SST seasonal/annual cycle in spite of having cold bias. This improvement in CFSv2 may be attributed to better cloud–aerosol–radiation physics, which reduces radiation biases. Updated land-surface, ocean and sea ice processes and ocean component may be responsible for improved circulation and annual cycle of ocean–atmospheric components (winds and ocean circulation). However, there is a requirement for improved parameterization of turbulent HF and radiation estimates in CFSv2 to reduce the cold SST bias.

Exercise training reinstates cortico-cortical sensorimotor functional connectivity following striatal lesioning: development and application of a subregional-level analytic toolbox for perfusion autoradiographs of the rat brain.

Current rodent connectome projects are revealing brain structural connectivity with unprecedented resolution and completeness. How subregional structural connectivity relates to subregional functional interactions is an emerging research topic. We describe a method for standardized, mesoscopic-level data sampling from autoradiographic coronal sections of the rat brain, and for correlation-based analysis and intuitive display of cortico-cortical functional connectivity (FC) on a flattened cortical map. A graphic user interface “Cx-2D” allows for the display of significant correlations of individual regions-of-interest, as well as graph theoretical metrics across the cortex. Cx-2D was tested on an autoradiographic data set of cerebral blood flow (CBF) of rats that had undergone bilateral striatal lesions, followed by 4 weeks of aerobic exercise training or no exercise. Effects of lesioning and exercise on cortico-cortical FC were examined during a locomotor challenge in this rat model of Parkinsonism. Subregional FC analysis revealed a rich functional reorganization of the brain in response to lesioning and exercise that was not apparent in a standard analysis focused on CBF of isolated brain regions. Lesioned rats showed diminished degree centrality of lateral primary motor cortex, as well as neighboring somatosensory cortex—changes that were substantially reversed in lesioned rats following exercise training. Seed analysis revealed that exercise increased positive correlations in motor and somatosensory cortex, with little effect in non-sensorimotor regions such as visual, auditory, and piriform cortex. The current analysis revealed that exercise partially reinstated sensorimotor FC lost following dopaminergic deafferentation. Cx-2D allows for standardized data sampling from images of brain slices, as well as analysis and display of cortico-cortical FC in the rat cerebral cortex with potential applications in a variety of autoradiographic and histologic studies.

Volumetric analysis of hippocampal sub-regions in late onset depression: A 3 tesla magnetic resonance imaging study

BackgroundWhile many studies have reported reduced volume of hippocampus in late onset depression (LOD), the status of hippocampus sub-regions (anterior/posterior) is yet to be explored. Evaluating hippocampal sub-regions might facilitate better elucidation of the neurobiological basis of LOD. MethodsTwenty five elderly subjects with LOD (mean age=65.28yr, SD=5.73, 15 females) and 20 healthy controls (mean age=65.35yr, SD=5.67, 7 females) were examined using 3-tesla magnetic resonance imaging (MRI). They were also evaluated with Montgomery Asberg Depression Rating Scale (MADRS) and Hindi Mental State Examination (HMSE). We examined the difference in volume of Hippocampal sub-regions between the LOD group and control group controlling for the age, sex and intracranial volume. ResultsLeft posterior hippocampus volume was significantly smaller in LOD group than the control group (1.01±0.19ml vs 1.16±0.25ml, F=7.50, p=0.009). There was a similar trend for the right posterior hippocampus (1.08±0.19ml vs 1.18±0.27ml, F=3.18, p=0.082). Depression severity (mean MADRS score=20.64±8.99) had a significant negative correlation with volumes of right posterior hippocampus (r=−0.37, p=0.012) and left posterior hippocampus (r=−0.46, p=0.001) in the LOD group. ConclusionsSpecific reduction of posterior hippocampus volume and its relationship with depression severity indicates sub region specific hippocampal volumetric abnormalities in LOD. Future studies need to evaluate sub region specific hippocampal volume in LOD longitudinally for better understanding of the pathogenesis of LOD in view of the functional differences between anterior and posterior hippocampus.

Physical Capital, Human Capital, and Social Capital: The Changing Roles in China's Economic Growth

AbstractThis paper examines the roles of physical capital, human capital, and social capital in China's economic growth during the reform period 1981–2010. Empirical estimation confirms that physical capital and human capital contribute to the economic growth, probably due to the capital accumulation and the improvement of labor productivity. The impact of social capital turns from being insignificant in the 1980s and the 1990s to be positive in the 2000s, suggesting its rising importance in recent decades. A declining role of physical capital in the economic growth in China from 1990s to 2000s is also found. The findings hold for several additional robustness checks, including focusing on longer term determinants of the economic growth, subregional analysis, and endogeneity. Furthermore, the foreign direct investment inflows and adjustment of economic ownership structure are also important for economic growth in China.

Cerebellum-specific 18F-FDG PET analysis for the detection of subregional glucose metabolism changes in spinocerebellar ataxia.

The cerebellum (CB) consists of complex anatomical and functional subregions. To better investigate the complicated functional anatomy, a detailed subregional analysis and/or a precise spatial normalization of the fluorine-18 fluorodeoxyglucose (F-FDG) PET imaging data are essential. Here, the 28 MRIcron CB volumes of interests (VOIs) template merged into eight cerebellar subregional VOIs (bilateral anterior, superior, and inferior posterior lobes of the CB cortex, and the superior and inferior vermis) on mean F-FDG PET templates. We also developed a new spatial normalization method using a study-specific and CB-specific template (CBSST) to better localize the VOIs and to minimize interparticipant differences for the locations of whole and subregional CB VOIs, as well as to increase the accuracy of the subregional mean F-FDG uptake. Using VOIs of individual F-FDG PET images normalized to the F-FDG template, we analyzed subregional cerebellar glucose metabolism in patients with spinocerebellar ataxia, a representative disease involving the spinocerebellum, and compared them with age-matched and sex-matched healthy normal controls. We achieved significant improvement over the Montreal Neurological Institute template in spatial normalization accuracy using our CBSST approach for CB VOI location agreement increases (79 vs. 90%) and VOI uptake error decreases in many CB subregions. We also found significant decreases in the anterior/posterior ratio of F-FDG uptake in patients with spinocerebellar ataxia (0.45) compared with those in normal controls (0.73) only using our CBSST approach. Therefore, we established an accurate CB subregional VOI analysis framework, and this may be useful for understanding and differentiating many of the cerebellar ataxia diseases.