Discriminating subcortical ischemic vascular disease and Alzheimer's disease by diffusion kurtosis imaging in segregated thalamic regions

Differentiating between subcortical ischemic vascular disease (SIVD), Alzheimer''s disease (AD), and normal cognition (NC) remains a challenge, and reliable neuroimaging biomarkers are needed. The current study, therefore, investigated the discriminative ability of diffusion kurtosis imaging (DKI) metrics in segregated thalamic regions and compare with diffusion tensor imaging (DTI) metrics. Twenty‐three SIVD patients, 30 AD patients, and 24 NC participants underwent brain magnetic resonance imaging. The DKI metrics including mean kurtosis (MK), axial kurtosis (K _axial) and radial kurtosis (K _radial) and the DTI metrics including diffusivity and fractional anisotropy (FA) were measured within the whole thalamus and segregated thalamic subregions. Strategic correlations by group, thalamo‐frontal connectivity, and canonical discriminant analysis (CDA) were used to demonstrate the discriminative ability of DKI for SIVD, AD, and NC. Whole and segregated thalamus analysis suggested that DKI metrics are less affected by white matter hyperintensities compared to DTI metrics. Segregated thalamic analysis showed that MK and K _radial were notably different between SIVD and AD/NC. The correlation analysis between K _axial and MK showed a nonsignificant relationship in SIVD group, a trend of negative relationship in AD group, and a significant positive relationship in NC group. A wider spatial distribution of thalamo‐frontal connectivity differences across groups was shown by MK compared to FA. CDA showed a discriminant power of 97.4% correct classification using all DKI metrics. Our findings support that DKI metrics could be more sensitive than DTI metrics to reflect microstructural changes within the gray matter, hence providing complementary information for currently outlined pathogenesis of SIVD and AD.     

Patterns of diffusion kurtosis changes in Parkinson's disease subtypes

BackgroundDiffusion kurtosis imaging has been applied to evaluate white matter and basal ganglia microstructure in mixed Parkinson's disease (PD) groups with inconclusive results.ObjectivesTo evaluate specific patterns of kurtosis changes in PD and to assess the utility of diffusion imaging in differentiating between healthy subjects and cognitively normal PD, and between PD with and without mild cognitive impairment.MethodsDiffusion scans were obtained in 92 participants using 3T MRI. Differences in white matter were tested by tract-based spatial statistics. Gray matter was evaluated in basal ganglia, thalamus, hippocampus, and motor and premotor cortices. Brain atrophy was also assessed. Multivariate logistic regression was used to identify a combination of diffusion parameters with the highest discrimination power between groups.ResultsDiffusion kurtosis metrics showed a significant increase in substantia nigra (p = 0.037, Hedges' g = 0.89), premotor (p = 0.009, Hedges' g = 0.85) and motor (p = 0.033, Hedges' g = 0.87) cortices in PD with normal cognition compared to healthy participants. Combined diffusion markers in gray matter reached 81% accuracy in differentiating between both groups. Significant white matter microstructural changes, and kurtosis decreases in the cortex were present in cognitively impaired versus cognitively normal PD. Diffusion parameters from white and gray matter differentiated between both PD phenotypes with 78% accuracy.ConclusionsIncreased kurtosis in gray matter structures in cognitively normal PD reflects increased hindrance to water diffusion caused probably by alpha-synuclein-related microstructural changes. In cognitively impaired PD, the changes are mostly driven by decreased white matter integrity. Our results support the utility of diffusion kurtosis imaging for PD diagnostics.     

A multimodal approach using TMS and EEG reveals neurophysiological changes in Parkinson's disease

IntroductionAlterations in large scale neural networks leading to neurophysiological changes have been described in Parkinson's disease (PD). The combination of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) has been suggested as a promising tool to identify and quantify neurophysiological mechanisms. The aim of this study was to investigate specific changes in electrical brain activity in response to stimulation of four brain areas in patients with PD.Methods21 healthy controls and 32 patients with PD underwent a combined TMS-EEG assessment that included stimulation of four brain areas: left M1, right M1, left dorso-lateral prefrontal cortex (DLPFC), and right DLPFC. Six measures were calculated to characterize the TMS evoked potentials (TEP) using EEG: (1) wave form adherence (WFA), (2) late phase deflection (LPD), (3) early phase deflection (EPD), (4) short-term plasticity (STP), (5) inter-trial adherence, and (6) connectivity between right and left M1 and DLPFC. A Linear mixed-model was used to compare these measures between groups and areas stimulated.ResultsPatients with PD showed lower WFA (p = 0.052), lower EPD (p = 0.009), lower inter-trial adherence (p < 0.001), and lower connectivity between homologs areas (p = 0.050), compared to healthy controls. LPD and STP measures were not different between the groups. In addition, lower inter-trial adherence correlated with longer disease duration (r = −0.355, p = 0.050).ConclusionsOur findings provide evidence to various alterations in neurophysiological measures in patients with PD. The higher cortical excitability along with increased variability and lower widespread of the evoked potentials in PD can elucidate different aspects related to the pathophysiology of the disease.     

Decline in drawing ability and cerebral perfusion in Parkinson's disease patients after subthalamic nucleus deep brain stimulation surgery

BackgroundSubthalamic nucleus deep brain stimulation (STN DBS) is an established therapy for alleviating motor symptoms in advanced Parkinson's disease (PD) patients; however, a postoperative decline in cognitive and speech function has become problematic although its mechanism remains unclear. The aim of the present study was to elucidate the properties of language and drawing ability and cerebral perfusion in PD patients after bilateral STN DBS surgery.MethodsWestern aphasia battery, including drawing as a subcategory, and perfusion (N-isopropyl-p-[¹²³I] iodoamphetamine) SPECT scan was conducted in 21 consecutive PD patients, before, and three to six months after, bilateral STN DBS surgery while on stimulation. Perfusion images were compared with those of 17 age- and gender-matched healthy volunteers. In the parametric image analysis, the statistical peak threshold was set at P < 0.001 uncorrected with a cluster threshold set at P < 0.05 uncorrected.ResultsAlthough motor symptoms were improved and general cognition was preserved in the patient group, 11 patients (52.4%) showed a decline in the drawing subcategory after surgery, which showed a reduction in Frontal Assessment Battery score in this group of patients. Statistical parametric analysis of the brain perfusion images showed a decrease of cerebral blood flow in the prefrontal and cingulate cortex after surgery. Patients whose drawing ability declined showed decreased perfusion in the middle cingulate cortex comparing before and after surgery.ConclusionPresent results show that some PD patients show a decline in drawing ability after bilateral STN DBS which may attributable by dysfunction in the cingulate network.     

Subthalamic nucleus deep brain stimulation improves sleep in Parkinson's disease patients: a retrospective study and a meta-analysis

BackgroundMost Parkinson's patients suffered from sleep problems. There is increasing evidence that Subthalamic Nucleus Deep Brain Stimulation (STN-DBS) has a positive effect on several sleep parameters, improving overall sleep quality in patients with PD. However, the results are controversial.MethodsWe performed a retrospective study and meta-analysis to assess the Parkinson's disease sleep scale (PDSS) in Parkinson's patients.ResultsWe reviewed our data of patients who underwent STN-DBS, and then extracted five other trials to perform a meta-analysis. The pooled results showed an advantage on post-operative PDSS in both our medical center and pooled results (MD = 20.41, 95% CI = [13.03, 27.79], I² = 61%, P < 0.001). There was a significant difference in Unified Parkinson's Disease Rating Scale (UPDRS)-Ⅲ score between pre and post-operation (MD = −12.59, 95% CI = [−14.70, −10.49], I² = 90%, P < 0.001). What's more, Parkinsonian medication was significantly lower in the post-operative groups after DBS (MD = −314.71, 95% CI = [−468.13, −161.28], I² = 53%, P < 0.001).ConclusionIn the retrospective study and meta-analysis of 6 trials, we found that DBS can significantly increase sleep quality. Furthermore, motor function improved and Parkinsonian medication was significantly decreased postoperatively. The sample size was enough and no further investigations would change the conclusion.     

Serial MRI alterations of pediatric patients with beta-propeller protein associated neurodegeneration (BPAN)

Background and PurposeBeta-propeller protein-associated neurodegeneration (BPAN) is one subtype of neurodegeneration with brain iron accumulation. It is difficult to diagnose BPAN due to the non-specificity of their clinical findings and neuroimaging in early childhood. We experienced four pediatric patients with serial brain MRI and evaluated the alteration of the findings through their course.MethodsWe retrospectively reviewed the clinical findings and 21 MRI findings of the four patients with genetically confirmed pediatric BPAN. We also performed a quantitative MR assessment using the quantitative susceptibility mapping (QSM) values of the globus pallidus (GP), substantia nigra (SN), and deep cerebellar nuclei (DCN) compared to 10 age-matched disease controls.ResultsOnly one patient was suspected of BPAN based on imaging findings before the genetic diagnosis was made. The other three patients could not be suspected until their Whole-exome sequencings (WES) done. In all four cases, no abnormal signals were noted in the GP and SN at the initial brain MRI, but hypointensities were observed after the ages of 4–7 years on T2-weighted images and after the ages of 2–7 years on susceptibility-weighted images. In three patients, T2 hyperintensity in the bilateral DCN was persistently observed throughout the observational period. Three patients showed transient T2 hyperintensity and swelling in the GP, SN and/or DCN during the episodes of pyrexia and seizures. The other findings included cerebral and cerebellar atrophy, thinning of the corpus callosum, and delayed myelination. The QSM values of the GP and SN were significantly higher in the patients compared to the controls (P = 0.005, respectively), but that of the DCN did not differ significantly (P = 0.16).ConclusionBrain MRI is a useful method to establish the early diagnosis of BPAN.     

Association of lipid levels with motor and cognitive function and decline in advanced Parkinson's disease in the Mark-PD study

ObjectivesIn prospective cohort studies different blood lipid fractions have been identified as risk factors of Parkinson's disease (PD). However, data relating lipoproteins to disease phenotypes and progression in advanced PD patients are sparse. Therefore, we assessed the most common lipoproteins in a case-control design and evaluated their associations with motor and cognitive function and decline in PD patients.MethodsTriglycerides, LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), and lipoprotein a (Lp(a)) were analyzed in 294 PD patients of the MARK-PD study cohort and 588 controls matched for age, sex and cardiovascular risk factors. In PD patients, motor (MDS-UPDRS III, Hoehn-Yahr stage) and cognitive function (MoCA) were examined. In a sub-cohort (n = 98 patients), baseline lipid levels were correlated with motor and cognitive disease progression during a follow-up period of 523 ± 199 days.ResultsAt baseline, HDL-C levels were lower in PD patients compared to matched controls after adjustment. We observed a very weak association of Lp(a) levels with UDPRS III scores. In cross-sectional analyses, no other lipid fraction revealed a significant and consistent association with motor or cognitive function. During follow-up, no lipid fraction level was associated with motor or cognitive progression.ConclusionIn advanced PD, there is no strong and consistent association of lipid levels with motor or cognitive function and decline.     

Objective measurement of limb bradykinesia using a marker-less tracking algorithm with 2D-video in PD patients

BackgroundQuantitative measurement of parkinsonian motor symptoms is crucial in clinical practice and in research. However, the widely used Unified PD Rating Scale (UPDRS) part III is based on a semi-quantitative evaluation with high inter- and intra-rater variability. Sensor-based measurements have been widely studied but are limited for their accessibility.MethodsWe analyzed 2D-RGB videos recording finger tapping and leg agility tests in 29 PD patients with a marker-less deep-learning based tracking algorithm. The tracking performance was validated with an accelerometer. Four parameters (mean amplitude, mean interpeak interval, amplitude variability and interpeak interval variability) were calculated from the position tracking.ResultsThe performance of the video-tracking was in good agreement with the accelerometer-based tracking (Intra-class correlation coefficient > 0.9 for the peak amplitude, and >0.6 for the interpeak interval). The video-tracking successfully captured variable aspects of limb bradykinesia that have a distinct correlation with the general parkinsonian motor symptoms and gait. In the finger-tapping task, the mean amplitude (R = −0.6, p = 2.4 × 10⁻⁶), amplitude variability (R = 0.36, p = 0.0092), mean interpeak interval (R = 0.34, p = 0.014), and interpeak interval variability (R = 0.66, p = 1.4 × 10⁻⁷) was significantly correlated with the UPDRS scores. In leg agility test, the mean amplitude (R = −0.58, p = 1.7 × 10⁻⁵), mean interpeak interval (R = 0.37, p = 0.0088) and interpeak interval variability (R = 0.7, p = 6.2 × 10⁻⁸) were significantly correlated with the UPDRS scores, but not with amplitude variability (R = 0.17, p = 0.26). Limb rigidity was significantly correlated with the interpeak interval (R = 0.40, p = 0.0036) and its variability (R = 0.59, p = 4.2 × 10⁻⁶) in the leg agility test.ConclusionThe video-based tracking could objectively measure limb bradykinesia in PD patients.     

Navigated repetitive transcranial magnetic stimulation improves the outcome of postsurgical paresis in glioma patients – A randomized,double-blinded trial

BackgroundNavigated repetitive transcranial magnetic stimulation (nrTMS) is effective therapy for stroke patients. Neurorehabilitation could be supported by low-frequency stimulation of the non-damaged hemisphere to reduce transcallosal inhibition.ObjectiveThe present study examines the effect of postoperative nrTMS therapy of the unaffected hemisphere in glioma patients suffering from acute surgery-related paresis of the upper extremity (UE) due to subcortical ischemia.MethodsWe performed a randomized, sham-controlled, double-blinded trial on patients suffering from acute surgery-related paresis of the UE after glioma resection. Patients were randomly assigned to receive either low frequency nrTMS (1 Hz, 15 min) or sham stimulation directly before physical therapy for 7 consecutive days. We performed primary and secondary outcome measures on day 1, on day 7, and at a 3-month follow-up (FU). The primary endpoint was the change in Fugl-Meyer Assessment (FMA) at FU compared to day 1 after surgery.ResultsCompared to the sham stimulation, nrTMS significantly improved outcomes between day 1 and FU based on the FMA (mean [95% CI] +31.9 [22.6, 41.3] vs. +4.2 [-4.1, 12.5]; P = .001) and the National Institutes of Health Stroke Scale (NIHSS) (−5.6 [-7.5, −3.6] vs. −2.4 [-3.6, −1.2]; P = .02). To achieve a minimal clinically important difference of 10 points on the FMA scale, the number needed to treat is 2.19.ConclusionThe present results show that patients suffering from acute surgery-related paresis of the UE due to subcortical ischemia after glioma resection significantly benefit from low-frequency nrTMS stimulation therapy of the unaffected hemisphere.Clinical trial registrationLocal institutional registration: 12/15; ClinicalTrials.gov number: NCT03982329     

Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping

Background and purposeThe ability to predict high-grade meningioma preoperatively is important for clinical surgical planning. The purpose of this study is to evaluate the performance of comprehensive multiparametric MRI, including susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM) in predicting high-grade meningioma both qualitatively and quantitatively.MethodsNinety-two low-grade and 37 higher grade meningiomas in 129 patients were included in this study. Morphological characteristics, quantitative histogram analysis of QSM and ADC images, and tumor size were evaluated to predict high-grade meningioma using univariate and multivariate analyses. Receiver operating characteristic (ROC) analyses were performed on the morphological characteristics. Associations between Ki-67 proliferative index (PI) and quantitative parameters were calculated using Pearson correlation analyses.ResultsFor predicting high-grade meningiomas, the best predictive model in multivariate logistic regression analyses included calcification (β = 0.874, P = 0.110), peritumoral edema (β = 0.554, P = 0.042), tumor border (β = 0.862, P = 0.024), tumor location (β = 0.545, P = 0.039) for morphological characteristics, and tumor size (β = 4 × 10⁻⁵, P = 0.004), QSM kurtosis (β = − 5 × 10⁻³, P = 0.058), QSM entropy (β = − 0.067, P = 0.054), maximum ADC (β = − 1.6 × 10⁻³, P = 0.003), ADC kurtosis (β = − 0.013, P = 0.014) for quantitative characteristics. ROC analyses on morphological characteristics resulted in an area under the curve (AUC) of 0.71 (0.61–0.81) for a combination of them. There were significant correlations between Ki-67 PI and mean ADC (r = − 0.277, P = 0.031), 25^th percentile of ADC (r = − 0.275, P = 0.032), and 50^th percentile of ADC (r = − 0.268, P = 0.037).ConclusionsAlthough SWI and QSM did not improve differentiation between low and high-grade meningiomas, combining morphological characteristics and quantitative metrics can help predict high-grade meningioma.     

Mandibular advancement device in Parkinson's disease: a pilot study on efficacy and usability

Background/objectivesContinuous positive airway pressure (CPAP) is efficacious in the treatment of obstructive sleep apnea syndrome (OSAS) in patients with Parkinson's disease (PD). However, this treatment is often not well tolerated in this disabled population. We explored, in a pilot study, the efficacy, observance, and usability of mandibular advancement device (MAD) for the treatment of OSAS in this peculiar population.Patients/methodsTwenty patients with PD and moderate or severe OSAS were included in the study. Ten patients had refused or not tolerated the validated treatment with CPAP so that they were treated with MAD. The patients treated with MAD were matched for sex, age and body mass index (BMI) to 10 patients with PD treated with CPAP.We explored the efficacy of MAD on sleep disorders complaints (PDSS-2) and on sleep recordings. We compared adherence, tolerance and usability with MAD and with CPAP.ResultsMAD improved sleep complaints increasing PDSS-2 scores (85 [55–106] vs 106 [88–126], p < 0.005), and sleep respiratory measures reducing apnea/hypopnea index (AHI) (50.8 [30.0–76.4] vs 9.4 [5.0–45.2], <0.001) and oxygen desaturation index (22.9 [2.1–92.0] vs 3.8 [0.2–34.2], p < 0.05). Observance was higher with MAD than with CPAP. Usability and caregiver satisfaction were higher with MAD than with CPAP whereas side effects were similarly reported.ConclusionMandibular advancement device may be an noteworthy alternative treatment of OSAS in patients with PD.     

Trait self-acceptance mediates parental childhood abuse predicting depression and anxiety symptoms in adulthood

BackgroundBiopsychosocial models posit that experiencing parental childhood abuse increases vulnerability to psychopathology in adulthood. There are a lack of studies investigating mediators of the parental childhood abuse–adulthood psychopathology relation. The current study investigated if trait self-acceptance mediated the parental childhood abuse–adulthood major depressive disorder (MDD), generalized anxiety disorder (GAD), and panic disorder (PD) severity relations.MethodsParticipants (n = 3294) partook in the 18-year Midlife Development in the United States (MIDUS) study at three time-points. We conducted structural equation modeling analyses to test how maternal and paternal childhood abuse at Time 1 would independently positively predict MDD, GAD, and PD severity at Time 3, and if self-acceptance at Time 2 mediated those relations while controlling for adulthood MDD, GAD, and PD severity at Time 1.ResultsSelf-acceptance notably mediated the parental childhood abuse-adulthood MDD, GAD, and PD relations. Overall, higher paternal and maternal childhood abuse was associated with lower self-acceptance. Reduced self-acceptance predicted heightened adulthood MDD, GAD, and PD.ConclusionFindings highlight the importance of understanding the parental childhood abuse–adulthood psychopathology relation and the possible mechanisms of its long-term impact.     

Longitudinal study of striatal aromatic l-amino acid decarboxylase activity in patients with idiopathic rapid eye movement sleep behavior disorder

Study objectivesTo determine if nigrostriatal dopaminergic system function, evaluated by aromatic l-amino acid decarboxylase (AADC) activity using 6-[¹⁸F]fluoro-meta-tyrosine brain positron emission tomography (FMT-PET) can accurately and efficiently identify idiopathic rapid-eye-movement behavior disorder (IRBD) individuals at risk for conversion to a clinical diagnosis of Parkinson's disease (PD) or dementia with Lewy bodies (DLB).MethodsWe assessed prospectively striatal aromatic l-amino acid decarboxylase activity using FMT brain PET imaging in IRBD patients who were followed systematically every 1–3 months for 1–10 years. IRBD patients (n = 27) were enrolled in this prospective cohort study starting in 2009. Those who underwent follow-up scans between January 2011 and September 2014 (n = 24) were analyzed in the present study.ResultsOf the 24 IRBD patients with baseline and follow-up FMT-PET scans, 11 (45.8%) developed PD (n = 6) or DLB (n = 5). Compared to IRBD patients who were still disease-free, those who developed PD (n = 5) or DLB with parkinsonism (n = 1) had significantly reduced bilateral putaminal FMT uptake during the follow-up. Furthermore, the rate of FMT decline between baseline and follow-up scans was higher in all converted patients, even for those with DLB without parkinsonism, than in IRBD patients who remained disease-free.ConclusionsFMT-PET, which represents a dynamic change in AADC activity over time, may also be a useful predictor for the risk of conversion to PD or DLB over short-term clinical follow-up periods, or when testing neuroprotective and restorative strategies in the prodromal phases of PD or DLB.     

Association of blood-based biomarkers with radiologic markers and cognitive decline in atrial fibrillation patients

BackgroundAtrial fibrillation (AF) has been associated with an increased risk of silent brain infarcts (SBI) and cognitive impairment, even in patients with low embolic risk. We aimed to test the association between 11 blood-biomarkers representing different AF-related pathways, and SBI, white matter hyperintensities (WMH), and cognitive decline in patients with AF and low embolic risk.MethodsThe present study followed a cross-sectional design. 70 patients with a history of AF and CHADS₂ score ≤1, and 10 controls with neither AF nor SBI were included. All patients underwent a 3T brain MRI. Cortical and large subcortical ischemic lesions were considered presumed embolic origin lesions. White matter hyperintensities (WMH) were measured according to the Fazekas scale. A subset of patients underwent cognitive evaluation with the MoCA test. Circulating proteins were measured under blind conditions in a laboratory at Roche Diagnostics, Germany.Results45 patients presented SBI in the MRI, and 25 did not. Ang-2, FGF-23, and BMP-10 were increased in patients with SBI. Ang-2 was elevated only in patients with embolic infarcts, whereas FGF-23 and BMP-10 tended to be elevated in patients with both types of infarcts. Ang-2 (OR = 1.56 [0.94-2.59], p = 0.087), and BMP-10 (OR = 4.83 [0.99–23.60], p = 0.052) were the biomarkers that showed the highest association with SBI when entered in a multivariable logistic regression model corrected by age. No biomarker was found associated with WMH or mild cognitive impairment.ConclusionsBMP-10, and Ang-2 were increased in patients with SBI. Its usefulness to detect SBI in AF patients should be further explored.     

Evaluation of frequency-selective non-linear blending technique on brain CT in postoperative children with Moyamoya disease

ObjectiveTo evaluate whether a frequency-selective non-linear blending (BC) technique can improve tissue contrast and infarct detection on non-enhanced brain CT (NECT) in postoperative Moyamoya (MMD) patients.Materials and methodsFrom January 2010 to December 2017, 33 children (13 boys and 20 girls; mean age 9.1 ± 3.4 years) with MMD postoperatively underwent NECT followed by diffusion MRI. We compared the contrast-to-noise ratio (CNR) between gray matter (GM) and white matter (WM) in NECT and BC images and the CNR between the infarct lesion and adjacent normal-appearing brain in NECT and BC images using a paired t-test. We assessed image noise, GM-WM differentiation, artifacts, and overall quality using a Wilcoxon signed rank test. A McNemar two-tailed test was conducted to compare the diagnostic accuracy of infarct detection.ResultsThe CNR between GM and WM and the CNR of the infarct was better in BC images than in NECT images (3.9 ± 1.0 vs. 1.8 ± 0.6, P < 0.001 and 3.6 ± 0.3 vs. 1.9 ± 0.2, P < 0.001), with no difference in overall image quality observed. The sensitivity and specificity of infarct detection were 55.0% and 76.9% using NECT, and 70.0% and 69.2% using BC technique. The diagnostic accuracy of NECT and BC technique was 63.6% (21/33) and 69.7% (23/33), respectively.ConclusionThis study showed that the BC technique improved CNR and maintained image quality. This technique may also be used to identify ischemic brain changes in postoperative MMD patients by improving the CNR of the infarct lesion.     

A meta-analysis of the relationship between subjective sleep and depressive symptoms in adolescence

BackgroundAdolescence is a risk period for the development of mental illness, as well as a time for pronounced change in sleep behaviour. While prior studies, including several meta-analyses show a relationship between sleep and depressive symptoms, there were many inconsistences found in the literature.ObjectiveTo investigate the relationship between subjective sleep and depressive symptoms.MethodsFollowing PRISMA guidelines, we conducted a literature search that yielded forty-nine recent studies (2014–2020) with adolescent samples aged 9 to 25-year-olds, and more than double the sample size of previous meta-analyses (N = 318,256).ResultsIn a series of meta-analyses, we show that while several common categories of subjective sleep are associated with depressive symptoms in adolescents, the strength of this relationship varies. Measures of sleep perception: poor sleep quality (r = 0.41), insomnia (r = 0.37), sleep disturbances (r = 0.36), wake after sleep onset (r = 0.31), and daytime sleepiness (r = 0.30) correlated more strongly with depressive symptoms, than measures of sleep behaviour: sleep latency (r = 0.22), and sleep duration (r = −0.19).ConclusionsThese findings suggest that in studies of depressive symptoms it may be important to assess an adolescent's perception about their sleep, in addition to their sleep/wake behaviours.     

Exposure to anesthesia is not associated with development of α-synucleinopathies: A nested case-control study

IntroductionPreclinical studies suggest that inhalational anesthetics may induce neuropathology changes in the nigrostriatal system, leading to development of α-synucleinopathies. We explored the role of general anesthesia in the development of Parkinson disease (PD) and other α-synucleinopathies.MethodsAll α-synucleinopathy cases in Olmsted County, Minnesota, from January 1991, to December 2010, were identified from diagnostic codes, and then reviewed for type and index date of diagnosis. Cases were matched by sex and age (±1 year) to a referent control, a resident living in Olmsted County, and free of α-synucleinopathies before the index date (year of onset of the α-synucleinopathy). Medical records of both cases and controls were reviewed for lifetime exposure to anesthesia prior to the index date.ResultsA total of 431 cases with clinically defined α-synucleinopathies were identified. Of these, 321 (74%) underwent 1,069 procedures under anesthesia before the diagnosis date, and in the control group, 341 (79%) underwent 986 procedures. When assessed as a dichotomous variable, anesthetic exposure was not significantly associated with α-synucleinopathies (odds ratio [OR], 0.75; 95% CI, 0.54-1.05; P=.094). No association was observed when anesthetic exposure was quantified by the number of exposures (OR, 0.64, 0.89, and  0.74, for 1, 2–3, and ≥4 exposures, respectively, compared to no exposure as the reference; P=.137) or quantified by the cumulative duration of exposure assessed as a continuous variable (OR, 1.00; 95% CI, 0.97-1.02 per 1-h increase of anesthetic exposure; P=.776).ConclusionsWe did not observe a significant association between exposure to general anesthesia and risk for the development of α-synucleinopathies.     

Female and male sleep duration in association with the probability of conception in two representative populations of reproductive age in US and China

ObjectiveSleep duration has been found to affect some reproductive phenotypes but fecundability has been rarely researched. We aim to evaluate the association between female/male sleep duration and the probability of conception in two representative populations.MethodsThe present study uses two datasets, namely, a cross-sectional dataset of 9137 reproductive-age females in the US (National Health Interview Survey, NHIS) and a longitudinal dataset of 2687 reproductive-age females and their male mates in China (China Health and Nutrition Survey, CHNS). Logistic regression or mixed model was used to analyze the association between sleep duration and the probability of conception in the females of both populations and in CHNS males with adjustments for demographic, socioeconomic, behavioral, sleep health and reproductive factors.ResultsAn inverse association was observed between male sleep duration (≥8 h/day) and their mates' conception probability in the CHNS population (P = 0.012). Sleep of 9 h/day and ≥10 h/day in men was associated with 0.65 (0.41–1.02) fold and 0.53 (0.31–0.90) fold of conception probability when compared to 8 h/day sleep. On the other hand, a U-shaped association between female sleep duration and conception probability was observed in both populations. Each hour/day departure (longer or shorter) from 7 h/day sleep was associated with 1.26 (1.12–1.42, P < 0.001) and 1.21 (1.03–1.41, P = 0.019) fold conception probability in the NHIS and CHNS populations, respectively. An adjustment for potential confounders, including spouse characteristics did not substantially attenuate these associations.ConclusionsFemale and male sleep duration may be independent predictors of conception, suggesting there is an intervention target for reproductive health.     

Motor cortex transcranial direct current stimulation effects on knee osteoarthritis pain in elderly subjects with dysfunctional descending pain inhibitory system: A randomized controlled trial

BackgroundAlthough evidence has indicated a positive effect of transcranial direct current stimulation (tDCS) on reducing pain, few studies have focused on the elderly population with knee osteoarthritis (KOA).ObjectiveTo evaluate whether tDCS reduces KOA pain in elderly individuals with a dysfunctional descending pain inhibitory system (DPIS).MethodsIn a double-blind trial, individuals ≥ 60 years with KOA pain and a dysfunctional DPIS, we randomly assigned patients to receive 15 daily sessions of 2 mA tDCS over the primary motor cortex (anode) and contralateral supraorbital area (cathode) (M1-SO) for 20 min or sham tDCS. Change in pain perception indexed by the Brief Pain Inventory (BPI) at the end of intervention was the primary outcome. Secondary outcomes included: disability, quantitative sensory testing, pain pressure threshold and conditioned pain modulation (CPM). Subjects were followed-up for 2 months.ResultsOf the 104 enrolled subjects, with mean (SD) age of 73.9 (8.01) years and 88 (84.6%) female, 102 finished the trial. In the intention-to-treat analysis, the active tDCS group had a significantly greater reduction in BPI compared to the sham group (difference, 1.59; 95% CI, 0.95 to 2.23; P < 0.001; Cohen’s d, 0.58); and, also a significantly greater improvement in CPM-pressure in the knee (P = 0.01) and CPM-pain in the hand (P = 0.01). These effects were not sustained at follow-up. The intervention was well tolerated, with no severe adverse effects.ConclusionM1-SO tDCS is associated with a moderate effect size in reducing pain in elderly patients with KOA after 15 daily sessions of stimulation. This intervention has also shown to modulate the DPIS.     

Restoration of functional network state towards more physiological condition as the correlate of clinical effects of pallidal deep brain stimulation in dystonia

BackgroundDeep brain stimulation of the internal globus pallidus (GPi DBS) is an invasive therapeutic modality intended to retune abnormal central nervous system patterns and relieve the patient of dystonic or other motor symptoms.ObjectivesThe aim of the presented research was to determine the neuroanatomical signature of GPi DBS modulation and its association with the clinical outcome.MethodsThis open-label fixed-order study with cross-sectional validation against healthy controls analysed the resting-state functional MRI activity changes induced by GPi DBS in 18 dystonia patients of heterogeneous aetiology, focusing on both global (full brain) and local connectivity (local signal homogeneity).ResultsCompared to the switched-off state, the activation of GPi DBS led to the restoration of global subcortical connectivity patterns (in both putamina, diencephalon and brainstem) towards those of healthy controls, with positive direct correlation over large-scale cortico-basal ganglia-thalamo-cortical and cerebellar networks with the clinical improvement. Nonetheless, on average, GPi DBS also seemed to bring local connectivity both in the cortical and subcortical regions farther away from the state detected in healthy controls. Interestingly, its correlation with clinical outcome showed that in better DBS responders, local connectivity defied this effect and approached healthy controls.ConclusionsAll in all, the extent of restoration of both these main metrics of interest towards the levels found in healthy controls clearly correlated with the clinical improvement, indicating that the restoration of network state towards more physiological condition may be a precondition for successful GPi DBS outcome in dystonia.