In the last decade, combined transcranial magnetic stimulation (TMS)-neuroimaging studies have greatly stimulated research in the field of TMS and neuroimaging. Here, we review how TMS can be ...combined with various neuroimaging techniques to investigate human brain function. When applied during neuroimaging (online approach), TMS can be used to test how focal cortex stimulation acutely modifies the activity and connectivity in the stimulated neuronal circuits. TMS and neuroimaging can also be separated in time (offline approach). A conditioning session of repetitive TMS (rTMS) may be used to induce rapid reorganization in functional brain networks. The temporospatial patterns of TMS-induced reorganization can be subsequently mapped by using neuroimaging methods. Alternatively, neuroimaging may be performed first to localize brain areas that are involved in a given task. The temporospatial information obtained by neuroimaging can be used to define the optimal site and time point of stimulation in a subsequent experiment in which TMS is used to probe the functional contribution of the stimulated area to a specific task. In this review, we first address some general methodologic issues that need to be taken into account when using TMS in the context of neuroimaging. We then discuss the use of specific brain mapping techniques in conjunction with TMS. We emphasize that the various neuroimaging techniques offer complementary information and have different methodologic strengths and weaknesses.
PURPOSE: The aim of the study was to assess associations between intake of combined soft drinks (sugar sweetened and artificially sweetened) and fruit and vegetable juices and the risk of ...hepatocellular carcinoma (HCC), intrahepatic bile duct (IHBC) and biliary tract cancers (GBTC) using data from the European Prospective Investigation into Cancer and Nutrition cohort of 477,206 participants from 10 European countries. METHODS: After 11.4 years of follow-up, 191 HCC, 66 IHBC and 236 GBTC cases were identified. Hazard ratios and 95 % confidence intervals (HR; 95 % CI) were estimated with Cox regression models with multivariable adjustment (baseline total energy intake, alcohol consumption and intake pattern, body mass index, physical activity, level of educational attainment and self-reported diabetes status). RESULTS: No risk associations were observed for IHBC or GBTC. Combined soft drinks consumption of >6 servings/week was positively associated with HCC risk: HR 1.83; 95 % CI 1.11–3.02, p ₜᵣₑₙd = 0.01 versus non-consumers. In sub-group analyses available for 91 % of the cohort artificially sweetened soft drinks increased HCC risk by 6 % per 1 serving increment (HR 1.06, 95 % CI 1.03–1.09, n cₐₛₑₛ = 101); for sugar-sweetened soft drinks, this association was null (HR 1.00, 95 % CI 0.95–1.06; n cₐₛₑₛ = 127, p ₕₑₜₑᵣₒgₑₙₑᵢₜy = 0.07). Juice consumption was not associated with HCC risk, except at very low intakes (<1 serving/week: HR 0.60; 95 % CI 0.38–0.95; p ₜᵣₑₙd = 0.02 vs. non-consumers). CONCLUSIONS: Daily intake of combined soft drinks is positively associated with HCC, but a differential association between sugar and artificially sweetened cannot be discounted. This study provides some insight into possible associations of HCC with sugary drinks intake. Further exploration in other settings is required.
To determine the correlates of the lability of peak expiratory flow (PEF) in the elderly.
A community sample of 4,581 persons ≥ 65 years old from the Cardiovascular Health Study completed an asthma ...questionnaire and underwent spirometry. During a follow-up examination of the cohort, 1,836 persons agreed to measure PEF at home twice daily for 2 weeks, and 90% successfully obtained at least 4 days of valid measurements. PEF lability was calculated as the highest daily (PEF maximum − PEF minimum)/mean PEF.
Mean PEF measured at home was accurate when compared to PEF determined by spirometry in the clinic. Mean PEF lability was 18% in those with current asthma (n = 165) vs 12% in healthy nonsmokers (upper limit of normal, 29%). Approximately 26% of those with asthma and 14% of the other participants had abnormally high PEF lability (> 29%). After excluding participants with asthma, other independent predictors of high PEF lability included black race, current and former smoking, airway obstruction on spirometry, daytime sleepiness, recent wheezing, chronic cough, emphysema, and wheezing from lying in a supine position. Despite having a lower mean PEF, those reporting congestive heart failure (n = 82) did not have significantly higher PEF lability.
Measurement of PEF lability at home is highly successful in elderly persons. PEF lability ≥ 30% is abnormal in the elderly and is associated with asthma.
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