Efficacy of Digital Dance on Brain Imagery, Cognition, and Health: Randomized Controlled Trial.

BACKGROUND: Multidomain interventions have demonstrable benefits for promoting healthy aging, but self-empowerment strategies to sustain long-term gains remain elusive. OBJECTIVE: This study evaluated the effects of digital somatosensory dance game participation on brain imagery changes as primary outcomes and other physical and mental health measures as secondary outcomes related to healthy aging. METHODS: Between August 31, 2020, and June 27, 2021, this randomized controlled trial recruited 60 eligible participants older than 55 years with no recent engagement in digital dance games. A computer-generated randomization sequence was used to allocate participants 1:1, without stratification, to an intervention group (n=30) who underwent digital somatosensory dance game training or a control group (n=30). An anonymized code masked the intervention allocations from the investigators, and individuals who assigned the interventions were not involved in analyzing the study data. The intervention entailed two 30-minute dance game sessions per week for 6 months, and the control group received healthy aging education. Primary outcomes were brain imagery changes. All variables were measured at baseline and the 6-month follow-up, and intervention effects were estimated using t tests with intention-to-treat analyses. RESULTS: Compared with the control group, intervention participants had significantly different brain imagery in the gray matter volume (GMV) of the left putamen (estimate 0.016, 95% CI 0.008 to 0.024; P<.001), GMV of the left pallidum (estimate 0.02, 95% CI 0.006 to 0.034; P=.004), and fractional amplitude of low frequency fluctuations of the left pallidum (estimate 0.262, 95% CI 0.084 to 0.439; P=.004). Additionally, the intervention group had different imagery in the cerebellum VI GMV (estimate 0.011, 95% CI 0.003 to 0.02; P=.01). The intervention group also had improved total Montreal Cognitive Assessment scores (estimate 1.2, 95% CI 0.27 to -2.13; P<.01), quality of life (estimate 7.08, 95% CI 2.35 to 11.82; P=.004), and time spent sitting on weekdays (estimate -1.96, 95% CI -3.33 to -0.60; P=.005). Furthermore, dance performance was significantly associated with cognitive performance (P=.003), health status (P=.14), resilience (P=.007), and demoralization (P<.001). CONCLUSIONS: Digital somatosensory dance game participation for 6 months was associated with brain imagery changes in multiple regions involving somatosensory, motor, visual, and attention functions, which were consistent with phenotypic improvements associated with healthy aging. TRIAL REGISTRATION: ClinicalTrials.gov NCT05411042; https://clinicaltrials.gov/study/NCT05411042.

Vinculin phosphorylation impairs vascular endothelial junctions promoting atherosclerosis.

BACKGROUND AND AIMS: Atherosclerosis preferentially develops in arterial branches and curvatures where vascular endothelium is exposed to disturbed flow. In this study, the effects of disturbed flow on the regulation of vascular endothelial phosphoproteins and their contribution to therapeutic application in atherogenesis were elucidated. METHODS: Porcine models, large-scale phosphoproteomics, transgenic mice, and clinical specimens were used to discover novel site-specific phosphorylation alterations induced by disturbed flow in endothelial cells (ECs). RESULTS: A large-scale phosphoproteomics analysis of native endothelium from disturbed (athero-susceptible) vs. pulsatile flow (athero-resistant) regions of porcine aortas led to the identification of a novel atherosclerosis-related phosphoprotein vinculin (VCL) with disturbed flow-induced phosphorylation at serine 721 (VCLS721p). The induction of VCLS721p was mediated by G-protein-coupled receptor kinase 2 (GRK2)S29p and resulted in an inactive form of VCL with a closed conformation, leading to the VE-cadherin/catenin complex disruption to enhance endothelial permeability and atherogenesis. The generation of novel apolipoprotein E-deficient (ApoE-/-) mice overexpressing S721-non-phosphorylatable VCL mutant in ECs confirmed the critical role of VCLS721p in promoting atherosclerosis. The administration of a GRK2 inhibitor to ApoE-/- mice suppressed plaque formation by inhibiting endothelial VCLS721p. Studies on clinical specimens from patients with coronary artery disease (CAD) revealed that endothelial VCLS721p is a critical clinicopathological biomarker for atherosclerosis progression and that serum VCLS721p level is a promising biomarker for CAD diagnosis. CONCLUSIONS: The findings of this study indicate that endothelial VCLS721p is a valuable hemodynamic-based target for clinical assessment and treatment of vascular disorders resulting from atherosclerosis.

Recommended assessment and management of sleep disordered breathing in patients with atrial fibrillation, hypertension and heart failure: Taiwan Society of Cardiology/Taiwan Society of sleep Medicine/Taiwan Society of pulmonary and Critical Care Medicine joint consensus statement.

Sleep disordered breathing (SDB) is highly prevalent and may be linked to cardiovascular disease in a bidirectional manner. The Taiwan Society of Cardiology, Taiwan Society of Sleep Medicine and Taiwan Society of Pulmonary and Critical Care Medicine established a task force of experts to evaluate the evidence regarding the assessment and management of SDB in patients with atrial fibrillation (AF), hypertension and heart failure with reduced ejection fraction (HFrEF). The GRADE process was used to assess the evidence associated with 15 formulated questions. The task force developed recommendations and determined strength (Strong, Weak) and direction (For, Against) based on the quality of evidence, balance of benefits and harms, patient values and preferences, and resource use. The resulting 11 recommendations are intended to guide clinicians in determining which the specific patient-care strategy should be utilized by clinicians based on the needs of individual patients.

Altered cerebellar and caudate gray-matter volumes and structural covariance networks preceding dual cognitive and mobility impairments in older people.

INTRODUCTION: The neuroanatomical changes driving both cognitive and mobility impairments, an emerging preclinical dementia syndrome, are not fully understood. We examined gray-matter volumes (GMVs) and structural covariance networks (SCNs) abnormalities in community-based older people preceding the conversion to physio-cognitive decline syndrome (PCDS). METHODS: Voxel-wise brain GMV and established SCNs were compared between PCDS and non-PCDS converters. RESULTS: The study included 343 individuals (60.2 ± 6.9 years, 49.6% men) with intact cognitive and mobility functions. Over an average 5.6-year follow-up, 116 transitioned to PCDS. Identified regions with abnormal GMVs in PCDS converters were over cerebellum and caudate, which served as seeds for SCNs establishment. Significant differences in cerebellum-based (to right frontal pole and left middle frontal gyrus) and caudate-based SCNs (to right caudate putamen, right planum temporale, left precentral gyrus, right postcentral gyrus, and left parietal operculum) between converters and nonconverters were observed. DISCUSSION: This study reveals early neuroanatomic changes, emphasizing the cerebellum's role, in dual cognitive and mobility impairments. HIGHLIGHTS: Neuroanatomic precursors of dual cognitive and mobility impairments are identified. Cerebellar GMV reductions and increased right caudate GMV precede the onset of PCDS. Altered cerebellum- and caudate-based SCNs drive PCDS transformation. This research establishes a foundation for understanding PCDS as a specific dementia syndrome.

Computational fluid dynamics study in children with obstructive sleep apnea.

OBJECTIVES: This study aims to identify characteristics in image-based computational fluid dynamics (CFD) in children with obstructive sleep apnea (OSA). DESIGN: Diagnostic study. SETTING: Hospital-based cohort. PARTICIPANTS: Children with symptoms suggestive of OSA were recruited and underwent polysomnography. MAIN OUTCOME MEASURES: Three-dimensional models of computational fluid dynamics were derived from cone-beam computed tomography. RESULTS: A total of 68 children participated in the study (44 boys; mean age: 7.8 years), including 34 participants having moderate-to-severe OSA (apnea-hypopnea index [AHI] greater than 5 events/h), and 34 age, gender, and body mass index percentile matched participants having primary snoring (AHI less than 1). Children with moderate-to-severe OSA had a significantly higher total airway pressure (166.3 vs. 39.1 Pa, p = .009), total airway resistance (9851 vs. 2060 Newton-metre, p = .004) and velocity at a minimal cross-sectional area (65.7 vs. 8.8 metre per second, p = .017) than those with primary snoring. The optimal cut-off points for moderate-to-severe OSA were 46.2 Pa in the total airway pressure (area under the curve [AUC] = 73.2%), 2373 Newton-metre in the total airway resistance (AUC = 72.5%) and 12.6 metres per second in the velocity at a minimal cross-sectional area (AUC = 70.5%). The conditional logistic regression model revealed that total airway pressure, total airway resistance and velocity at minimal cross-sectional area were significantly associated with an increased risk of moderate-to-severe OSA. CONCLUSIONS: This study demonstrates that CFD could be a useful tool for evaluating upper airway patency in children with OSA.

Brain morphometry changes with fatigue severity in fibromyalgia.

OBJECTIVES: This study investigated brain morphometry changes associated with fatigue severity in fibromyalgia (FM). METHODS: Clinical profiles and brain-MRI data were collected in patients with FM. Patients were divided into three groups based on their fatigue severity. Using voxel-based morphometry analysis and trend analysis, neural substrates showing volumetric changes associated with fatigue severity across the three groups were identified. Their seed-to-voxel structural covariance (SC) networks with the whole brain were studied in distribution and strength. RESULTS: Among the 138 enrolled patients with FM, 23, 57, and 58 were categorised into the mild, moderate, and severe fatigue groups, respectively. The number of musculoskeletal pain regions and intensity of pain were not associated with fatigue severity, but somatic symptoms and psychiatric distress, including waking unrefreshed, depression, and anxiety, were associated with fatigue severity. After adjusting for anxiety and depression, decreased bilateral thalamic volumes were associated with higher fatigue severity. The SC distributions of the thalamic seed were more widespread to the frontal, parietal, subcortical, and limbic regions in patients with higher fatigue severity. In addition, increased right inferior temporal cortex volumes were associated with higher fatigue severity. The SC distributions of the right inferior temporal seed were more over the temporal cortex and the SC strengths of the seed were higher with the bilateral occipital cortex in patients with higher fatigue severity. CONCLUSIONS: The thalamus and the right inferior temporal cortex are implicated in the manifestation of fatigue severity in FM. Future therapeutic strategies targeting these regions are worthy of investigation.

Office Blood Pressure Monitoring in Children with Obesity and Obstructive Sleep Apnea.

OBJECTIVE: To investigate the relative contributions of obesity and obstructive sleep apnea (OSA) to unfavorable blood pressure in children. STUDY DESIGN: Children aged 3-18 years with OSA-related symptoms were recruited. All children underwent office blood pressure (BP) monitoring and full-night polysomnography. Obesity was defined as a body mass index ≥95th percentile. OSA severity was divided into primary snoring (apnea-hypopnea index [AHI] <1), mild OSA (5> AHI ≥1), and moderate to severe OSA (AHI ≥5). Age- and sex-adjusted logistic regression analysis was performed to determine the associations among OSA, obesity, and elevated BP. RESULTS: This cross-sectional study enrolled 1689 children (66% boys), with a mean age of 7.9 years. Compared with children with primary snoring, children with moderate to severe OSA had significantly higher systolic BP (108.1 mmHg vs 105.6 mmHg), diastolic BP (75.0 mmHg vs 70.4 mmHg), systolic BP percentile (75.0 vs 70.4), and diastolic BP percentile (74.0 vs 69.2). The rate of unfavorable BP (ie, elevated BP or hypertension level BP) also was significantly higher in children with more severe OSA. Children with obesity had higher BP and BP percentile. Logistic regression analysis revealed that children with obesity and moderate to severe OSA have a 3-fold greater risk of unfavorable BP compared with children without obesity and primary snoring. CONCLUSIONS: We identified a 3-fold greater risk of unfavorable BP in children with obesity and moderate to severe OSA.

In search of a better CPAP interface: A network meta-analysis comparing nasal masks, nasal pillows and oronasal masks.

Until now, no study has directly network meta-analysed the impact of nasal masks, nasal pillows and oronasal masks on continuous positive airway pressure therapy in patients with obstructive sleep apnea. This study aimed to meta-analyse the impact of three kinds of nasal interfaces with both network meta-analysis and pairwise comparison. PubMed, EMBASE, CENTRAL and ClinicalTrials.gov were systematically searched from inception to December 2020 for studies that compared the three types of nasal interfaces for treating obstructive sleep apnea with continuous positive airway pressure. The outcomes were residual apnea-hypopnea index, continuous positive airway pressure, and nightly average usage. The network meta-analysis was conducted using multivariate random-effects in a frequentist framework where three interfaces were ranked with the surface under the cumulative ranking probabilities. The pairwise comparison was conducted using random-effects meta-analysis. Twenty-nine articles comprising 6378 participants were included. The pairwise comparison showed both nasal masks and nasal pillows were associated with lower residual apnea-hypopnea index, lower continuous positive airway pressure, and higher continuous positive airway pressure adherence compared with oronasal masks. The surface under the cumulative ranking confirmed that nasal masks were associated with the lowest residual apnea-hypopnea index and highest adherence, while pillows were associated with the lowest continuous positive airway pressure. The meta-regression identified that lower pretreatment apnea-hypopnea index and continuous positive airway pressure determined during continuous positive airway pressure titration (versus determined during continuous positive airway pressure therapy) was associated with lower continuous positive airway pressure with nasal masks and nasal pillows. In conclusion, compared with oronasal masks, nasal masks and nasal pillows are better interfaces, especially in patients with lower pretreatment apnea-hypopnea index and those with the therapeutic pressure determined during continuous positive airway pressure titration.

Large-Scale Structural Covariance Networks Predict Age in Middle-to-Late Adulthood: A Novel Brain Aging Biomarker.

The aging process is accompanied by changes in the brain's cortex at many levels. There is growing interest in summarizing these complex brain-aging profiles into a single, quantitative index that could serve as a biomarker both for characterizing individual brain health and for identifying neurodegenerative and neuropsychiatric diseases. Using a large-scale structural covariance network (SCN)-based framework with machine learning algorithms, we demonstrate this framework's ability to predict individual brain age in a large sample of middle-to-late age adults, and highlight its clinical specificity for several disease populations from a network perspective. A proposed estimator with 40 SCNs could predict individual brain age, balancing between model complexity and prediction accuracy. Notably, we found that the most significant SCN for predicting brain age included the caudate nucleus, putamen, hippocampus, amygdala, and cerebellar regions. Furthermore, our data indicate a larger brain age disparity in patients with schizophrenia and Alzheimer's disease than in healthy controls, while this metric did not differ significantly in patients with major depressive disorder. These findings provide empirical evidence supporting the estimation of brain age from a brain network perspective, and demonstrate the clinical feasibility of evaluating neurological diseases hypothesized to be associated with accelerated brain aging.

REM sleep and sleep apnea are associated with language function in Down syndrome children: An analysis of a community sample.

BACKGROUND: The prevalence rate of obstructive sleep apnea (OSA) in the community Down syndrome (DS) children is not clear. Moreover, the impact of OSA and sleep structure on the cognitive function is inconclusive. The present study aimed to investigate 1) the prevalence rate of OSA in the community DS children and 2) the impact of OSA and sleep structure on cognitive performance. METHODS: Thirty DS children aged 6-18 years were recruited and evaluated with the performance of the language domain and sensorimotor domain, combining neuropsychological tests and parent-rated behavior. The outcomes were the age-adjusted scores, of which the lower the score was, the better was the patient's ability. The association of score with OSA and sleep structures was determined by linear regression. To diminish the age-related difference, all analyses were conducted separately for all subjects and 6-12-year-old subjects. RESULTS: The median age was 11.3 years and median Full-Scale Intelligence Quotient (FSIQ) was 44. The prevalence of OSA (apnea-hypopnea index ≥ 1/h) was 80% and 62.5% in all subjects and 6-12-year-old subjects, respectively. For 6-12-year-old subjects, after adjustment for age and FSIQ, both %REM and OSA were associated with lower score of the subtest of language domain, WPPSI-R Vocabulary, while %REM was also associated with lower score of VABS-II Communication - Expressive. In contrary, % slow wave sleep was not associated with any subtest. CONCLUSION: This study identified that OSA may be highly prevalent in community DS children. Among 6-12-year-old DS children, OSA and % REM were associated with their language function.

The cerebellum is associated with 2-year prognosis in patients with high-frequency migraine.

BACKGROUND: The increase of headache frequency is associated with higher headache related disability and lower quality of life in patients with migraine. However, the pathophysiology of migraine progression, persistence, or remission is elusive. The purpose of this study is to identify the brain signatures that are predictive of the long-term outcomes among patients with high-frequency migraine (HFM: 10-30 headache days/month). METHODS: We prospectively enrolled patients with HFM and healthy controls and collected their baseline clinical profiles and brain-MRI data at first visit. We longitudinally followed the patients and determined their outcomes at 2-year follow-up. Good outcome was defined as ≥50% reduction of baseline headache days and poor outcome was defined as reduction < 50% or frequency increase. Voxel-based morphometry was used to study gray matter volume (GMV), and structural covariance was used to investigate structural connectivity. RESULTS: Among 56 patients with HFM, 37 had good outcome and 19 poor outcome. Compared to the healthy controls (n = 37), patients with poor outcome had decreased GMV over the left posterior cingulate gyrus, and increased GMV over the bilateral cerebellum and the right precentral gyrus. Further, patients with poor outcome had greater GMV over the right and the left cerebella compared to patients with good outcome, and the GMVs of the cerebella were correlated to 2-year headache frequencies (right: r = 0.38, P = 0.005; left: r = 0.35, P = 0.009). Structural connectivity were increased between the cerebellum and the cuneus, the calcarine cortex, and the temporal lobe, respectively, in patients with poor outcome, and was decreased between the cerebellum and the prefrontal cortex in patients with poor outcome. The structural covariance integrities between the right cerebellum and the right cuneus were correlated to 2-year headache frequencies (r = 0.36, P = 0.008). CONCLUSIONS: Structural volume and connectivity changes of the cerebellum may underlie headache persistence in patients with HFM.

Weaning outcome of solid cancer patients requiring mechanical ventilation in the intensive care unit.

BACKGROUND: Whether the weaning outcome of solid cancer patients receiving mechanical ventilation (MV) in the intensive care unit (ICU) is comparable to that in non-cancer patients is unknown. The aim of this study was to compare the weaning outcomes between non-cancer patients and patients with different types of cancer. METHODS: We studied patients requiring MV during ICU stay for medical reasons between 2012 and 2014. Cancer patients were grouped into those with lung cancer (LC), head and neck cancer (HNC), hepatocellular carcinoma (HCC), and other cancers (OC). The primary endpoint was successful weaning at day 90 after the initiation of MV, and the main secondary endpoints were 28-day and 90-day mortality after ICU admission. RESULTS: Five hundred and eighteen patients with solid cancers and 1362 non-cancer patients were recruited. The rate of successful weaning at day 90 was 57.9% in cancer patients, which was lower than 68.9% in non-cancer patients (p < 0.001). Compared to non-cancer patients, LC was associated with a lower probability of weaning at day 90 (hazard ratio 0.565, 95% CI 0.446 to 0.715), while HNC, HCC, and OC had similar probabilities. The 28-day and 90-day mortality rates were higher in cancer patients than in non-cancer patients (45.2% vs. 29.4%, and 65.6% vs. 37.7%, respectively, both p < 0.001). CONCLUSION: Among mechanically ventilated patients in the ICU, those with LC were associated with a lower probability of weaning at day 90 compared to non-cancer patients.

24-Hour Ambulatory Blood Pressure after Adenotonsillectomy in Childhood Sleep Apnea.

OBJECTIVE: To assess the effects of adenotonsillectomy (T&A) on ambulatory blood pressure (ABP) in childhood obstructive sleep apnea (OSA). STUDY DESIGN: From 2012 to 2017, children aged 4-16 years with symptoms and polysomnography-diagnosed OSA (apnea-hypopnea index [AHI] >1) underwent T&A. PSG studies and 24-hour ABP monitoring were performed before and at 3 months after surgery. RESULTS: In total, 159 children were enrolled (mean age, 7.8 ± 3.3 years; 72% male). T&A significantly reduced the AHI from 12.4 ± 15.9 events/hour to 2.7 ± 5.7 events/hour (P < .001). A decrease was observed in the children's overall diastolic blood pressure (65.1 ± 6.1 mm Hg to 63.8 ± 7.4 mm Hg, P = .04) after surgery. In subgroup analysis, 100 (63%) patients were classified as nonhypertensive, and 59 (37%) were classified as hypertensive. Linear mixed model analysis revealed that compared with the children without hypertension, those with hypertension had superior improvement in systolic and diastolic blood pressure during daytime and nighttime (all P values < .01). The ABP changes after surgery were not correlated with the AHI changes. Finally, preoperative hypertension was an independent risk factor of postoperative hypertension among these children (OR 3.66; 95% CI 1.70-7.86). CONCLUSIONS: Overall, in children with OSA, the 24-hour ABP change after T&A is small. However, among children with preoperative hypertension, there is significant BP improvement after T&A surgery.

Extraction of large-scale structural covariance networks from grey matter volume for Parkinson's disease classification.

OBJECTIVES: To identify disease-related spatial covariance patterns of grey matter volume as an aid in the classification of Parkinson's disease (PD). METHODS: Seventy structural covariance networks (SCNs) based on grey matter volume covariance patterns were defined using independent component analysis with T1-weighted structural MRI scans (discovery sample, 70 PD patients and 70 healthy controls). An image-based classifier was constructed from SCNs using a multiple logistic regression analysis with a leave-one-out cross-validation-based feature selection scheme. A validation sample (26 PD patients and 26 healthy controls) was further collected to evaluate the generalization ability of the constructed classifier. RESULTS: In the discovery sample, 13 SCNs, including the cerebellum, anterior temporal poles, parahippocampal gyrus, parietal operculum, occipital lobes, supramarginal gyri, superior parietal lobes, paracingulate gyri and precentral gyri, had higher classification performance for PD. In the validation sample, the classifier had moderate generalization ability, with a mean sensitivity of 81%, specificity of 69% and overall accuracy of 75%. Furthermore, certain individual SCNs were also associated with disease severity. CONCLUSIONS: Although not applicable for routine care at present, our results provide empirical evidence that disease-specific, large-scale structural networks can provide a foundation for the further improvement of diagnostic MRI in movement disorders. KEY POINTS: • Disease-specific, large-scale SCNs can be identified from structural MRI. • A new network-based framework for PD classification is proposed. • An SCN-based classifier had moderate generalization ability in PD classification. • The selected SCNs provide valuable functional information regarding PD patients.

Snoring and Blood Pressure in Third-Trimester Normotensive Pregnant Women.

PURPOSE: To examine the association between snoring, sleep quality, quantity, and blood pressure in third-trimester normotensive pregnant women. DESIGN: This study was a cross-sectional analysis of two cohorts of healthy pregnant women recruited from a prenatal clinic in a medical center in Northern Taiwan. METHODS: A total of 322 women reported sociodemographic and health characteristics in a structured interview and wore a wrist actigraph on their nondominant wrist for 7 consecutive days to assess objective sleep patterns. The women's resting blood pressures were measured while seated in the clinic by trained personnel using an electronic sphygmomanometer. FINDINGS: One hundred thirty-three (41.3%) women reported snoring. Ninety-three women (28.9%) had <6 hr of nighttime sleep, with only 95 (29.5%) women averaging 7 or more hours of nighttime sleep. In the univariate analyses, snoring was positively associated with systolic and diastolic blood pressure as well as mean arterial pressure levels (p < .05). In the multivariate analyses, snoring remained as a significant predictor of higher diastolic blood pressure (ß = 2.07, p < .05) and mean arterial pressure levels (ß = 2.00, p < .05), after adjustment for age, parity, gestational age, body mass index before pregnancy, and sleep quantity and quality by actigraphy. CONCLUSIONS: Snoring is a highly prevalent condition experienced by healthy third-trimester pregnant women and is associated with elevated blood pressure. CLINICAL RELEVANCE: Clinical assessment and screening of snoring are of utmost importance in obstetric nursing practice to potentially prevent or reduce the associated adverse cardiovascular consequences in women during pregnancy.

Comparison of gray matter volume between migraine and "strict-criteria" tension-type headache.

BACKGROUND: Despite evidently distinct symptoms, tension-type headache (TTH) and migraine are highly comorbid and exhibit many similarities in clinical practice. The purpose of this study was to investigate whether both types of headaches are similar in brain morphology. METHODS: Consecutive patients with TTH and age- and sex-matched patients with migraine and healthy controls were enrolled for brain magnetic resonance imaging examination. Patients with TTH were excluded if they reported any headache features or associated symptoms of migraine. Changes in gray matter (GM) volume associated with headache diagnosis (TTH vs. migraine) and frequency (episodic vs. chronic) were examined using voxel-based morphometry. The correlation with headache profile and the discriminative ability between TTH and migraine were also investigated for these GM changes. RESULTS: In comparison with controls (n = 43), the patients with TTH (25 episodic and 24 chronic) exhibited a GM volume increase in the anterior cingulate cortex, supramarginal gyrus, temporal pole, lateral occipital cortex, and caudate. The patients with migraine (31 episodic and 25 chronic) conversely exhibited a GM volume decrease in the orbitofrontal cortex. These GM changes did not correlate with any headache profile. A voxel-wise 2 × 2 factorial analysis further revealed the substantial effects of headache types and frequency in the comparison of GM volume between TTH and migraine. Specifically, the migraine group (vs. TTH) had a GM decrease in the superior and middle frontal gyri, cerebellum, dorsal striatum, and precuneus. The chronic group (vs. episodic group) otherwise demonstrated a GM decrease in the bilateral insula and anterior cingulate cortex. In receiver operating characteristic analysis, the GM volumes of the left superior frontal gyrus and right cerebellum V combined had good discriminative ability for distinguishing TTH and migraine (area under the curve = 0.806). CONCLUSIONS: TTH and migraine are separate headache disorders with different characteristics in relation to GM changes. The major morphological difference between the two types of headaches is the relative GM decrease of the prefrontal and cerebellar regions in migraine, which may reflect a higher allostatic load associated with this disabling headache.

Comparisons of Office and 24-Hour Ambulatory Blood Pressure Monitoring in Children with Obstructive Sleep Apnea.

OBJECTIVE: To compare office blood pressure (BP) and 24-hour ambulatory BP (ABP) monitoring to facilitate the diagnosis and management of hypertension in children with obstructive sleep apnea (OSA). STUDY DESIGN: Children aged 4-16 years with OSA-related symptoms were recruited from a tertiary referral medical center. All children underwent overnight polysomnography, office BP, and 24-hour ABP studies. Multiple linear regression analyses were applied to elucidate the association between the apnea-hypopnea index and BP. Correlation and consistency between office BP and 24-hour ABP were measured by Pearson correlation, intraclass correlation, and Bland-Altman analyses. RESULTS: In the 163 children enrolled (mean age, 8.2 ± 3.3 years; 67% male). The prevalence of systolic hypertension at night was significantly higher in children with moderate-to-severe OSA than in those with primary snoring (44.9% vs 16.1%, P = .006). Pearson correlation and intraclass correlation analyses revealed associations between office BP and 24-hour BP, and Bland-Altman analysis indicated an agreement between office and 24-hour BP measurements. However, multiple linear regression analyses demonstrated that 24-hour BP (nighttime systolic BP and mean arterial pressure), unlike office BP, was independently associated with the apnea-hypopnea index, after adjustment for adiposity variables. CONCLUSIONS: Twenty-four-hour ABP is more strongly correlated with OSA in children, compared with office BP.

Hippocampus and amygdala volume in relation to migraine frequency and prognosis.

Objectives To investigate the structural changes of hippocampus and amygdala and their relationships with migraine frequency and prognosis. Methods Hippocampus and amygdala volumes were measured by 3-T brain magnetic resonance imaging (MRI) in 31 controls and 122 migraine patients who were categorized into eight groups by headache frequency: group 1 (1-2 headache days/month), 2 (3-4), 3 (5-7), 4 (8-10), 5 (11-14), 6 (15-19), 7 (20-24), and 8 (25-30). Headache frequency was reassessed 2 years later and a frequency reduction ≥50% was regarded a good outcome. Results Hippocampus and amygdala volumes fluctuated in patient groups but did not differ from the controls. In migraine patients, the bilateral hippocampus volumes peaked in group 3. The volumes and headache frequencies correlated positively in groups 2-3 on bilateral sides (L: r = 0.44, p = 0.007; R: r = 0.35, p = 0.037), and negatively in groups 3-7 on the left side (5-24 days/month; L: r = -0.31, p = 0.004) and groups 3-8 on the right side ( r = -0.31, p = 0.002). The left amygdala volume also peaked in group 3, and correlated with headache frequency in groups 1-3 ( r = 0.34, p = 0.020) and groups 3-6 ( r = -0.30, p = 0.012). The volumetric changes of the right amygdala with headache frequency did not reach statistical significance. At 2-year follow-up, the right hippocampus volume was positively associated with a good migraine outcome after adjustment of headache frequency (OR 4.72, p = 0.024). Conclusions Hippocampus and amygdala display a structural plasticity linked to both headache frequency and clinical outcome of migraine.

Parkinson's disease: diagnostic utility of volumetric imaging.

PURPOSE: This paper aims to examine the effectiveness of structural imaging as an aid in the diagnosis of Parkinson's disease (PD). METHODS: High-resolution T 1-weighted magnetic resonance imaging was performed in 72 patients with idiopathic PD (mean age, 61.08 years) and 73 healthy subjects (mean age, 58.96 years). The whole brain was parcellated into 95 regions of interest using composite anatomical atlases, and region volumes were calculated. Three diagnostic classifiers were constructed using binary multiple logistic regression modeling: the (i) basal ganglion prior classifier, (ii) data-driven classifier, and (iii) basal ganglion prior/data-driven hybrid classifier. Leave-one-out cross validation was used to unbiasedly evaluate the predictive accuracy of imaging features. Pearson's correlation analysis was further performed to correlate outcome measurement using the best PD classifier with disease severity. RESULTS: Smaller volume in susceptible regions is diagnostic for Parkinson's disease. Compared with the other two classifiers, the basal ganglion prior/data-driven hybrid classifier had the highest diagnostic reliability with a sensitivity of 74%, specificity of 75%, and accuracy of 74%. Furthermore, outcome measurement using this classifier was associated with disease severity. CONCLUSIONS: Brain structural volumetric analysis with multiple logistic regression modeling can be a complementary tool for diagnosing PD.