Distribution of cervical intraepithelial neoplasia is closely associated with HPV status and uterine position.

Although cervical intraepithelial neoplasia (CIN) lesions are considered to be not randomly distributed across the cervix, but predominantly in the anterior wall, the clinicopathological etiology remains unknown. Herein, we aimed to elucidate the relationship between quantitatively measured area of CIN2/3 and cervical cancer associated factors by retrospective cohort study. We analyzed 235 consecutive therapeutic conization specimens dissected as a single intact section to determine CIN2/3 area and its correlation with both clinical risk factors including human papillomavirus (HPV) status (single or multiple infection) and uterine position defined by transvaginal ultrasound. Cervical wall was classified into three groups: anterior: (11, 12, 1, and 2 o'clock), posterior (5, 6, 7, and 8 o'clock) and lateral (3, 4, 9, and 10 o'clock). Multiple regression revealed that younger age and HPV16 status were significantly correlated with CIN2/3 area (p = 0.0224 and p = 0.0075, respectively). The Jonckheere-Terpstra test showed a significant trend: CIN2/3 area was highest in the single HPV16 group, followed by the multiple HPV16 group and the non-HPV16 group (p < 0.0001). CIN2/3 area in the anterior wall was statistically significantly larger than the posterior and lateral wall (p = 0.0059 and p = 0.0107, respectively). CIN2/3 area in the anterior wall was significantly greater with anteversion-anteflexion than retroversion-retroflexion (p = 0.0485), whereas CIN2/3 area in the posterior wall was significantly larger with retroversion-retroflexion than anteversion-anteflexion (p = 0.0394). In conclusion, the topographical distribution of CIN2/3 area is closely associated with patient age, high-risk HPV status, especially single HPV16 infection and uterine position.

Serum NfL and CHI3L1 for ALS and parkinsonian disorders in the process of diagnosis.

Serum neurofilament light chain (NfL) and chitinase 3-like 1 (CHI3L1, also called YKL-40) concentrations are attractive candidate biomarkers for neurodegenerative disorders, which include amyotrophic lateral sclerosis (ALS) and parkinsonian disorders. We aimed to assess the diagnostic power of serum NfL and CHI3L1 concentrations with regard to the early diagnosis of ALS and Parkinson's disease (PD). We studied 157 individuals, which included 41 healthy controls, 8 patients with ALS mimics, 18 patients initially diagnosed with ALS (ID-ALS), 32 patients late-diagnosed with ALS (LD-ALS), 29 patients with PD, 12 patients with PD mimics, and 17 patients initially diagnosed with atypical parkinsonian disorders (ID-APDs) at the initial stage of diagnosis. Electrochemiluminescence was used to measure the concentrations of serum NfL and CHI3L1, the diagnostic performance of which was assessed using the area under the receiver operating curves (AUCs). The AUCs of serum NfL were 0.90 for discriminating ALS mimics from LD-ALS at the initial stage of diagnosis and 0.89 for discriminating ALS mimics from ALS (LD/ID-ALS). The AUCs of serum NfL were 0.76 for discriminating PD from PD mimics at the initial stage of diagnosis, and 0.80 for discriminating PD from APD. No significant difference existed in serum CHI3L1 concentrations between individuals with suspected ALS or parkinsonism (p = 0.14, and p = 0.44, respectively). Serum NfL had excellent and almost good diagnostic performances for patients with ALS and PD, respectively, at the initial stage of diagnosis, whereas no significant difference existed in serum CHI3L1 between any groups.

MR spectroscopy and imaging-derived measurements in the supplementary motor area for biomarkers of amyotrophic lateral sclerosis.

The diagnosis of amyotrophic lateral sclerosis (ALS) requires both upper and lower motor neuron signs. However, quite a few patients with ALS lack the upper motor neuron sign during the disease. This study sought to investigate whether metabolites, including glutamate (Glu), N-acetyl aspartate (NAA), and gamma aminobutyric acid (GABA), in the supplementary motor area (SMA) measured by magnetic resonance spectroscopy (MRS), could be a surrogate biomarker for ALS. Twenty-five patients with ALS and 12 controls underwent 3.0-T MR scanning, which measured Glu, NAA, and GABA. Finally, receiver operating characteristic (ROC) curves were created and the area under curve (AUC) was calculated to assess the diagnostic power. Logistic regression analysis revealed the usefulness of both Glu and NAA for the differentiation of ALS from controls (Glu, P = 0.009; NAA, P = 0.033). The ratio of Glu to NAA or GABA was significantly increased in patients with ALS (Glu/NAA, P = 0.027; Glu/GABA, P = 0.003). Both the AUCs were more than 0.7, with high specificity but low sensitivity. The present findings might indicate that both the Glu/NAA and the Glu/GABA ratios in the SMA could be potential biomarkers for the diagnosis of ALS.

"One line": A method for differential diagnosis of parkinsonian syndromes.

BACKGROUND: Neurological findings are important for the differential diagnosis of Parkinson's disease (PD), multiple system atrophy with predominant parkinsonian features (MSA-P), and progressive supranuclear palsy (PSP). There is currently no fast and reliable method to distinguish these patients. OBJECTIVES: To address this, we propose a novel approach to measure midbrain and pons size using a longitudinal "one line" method from the mid-sagittal view. METHODS: Structural images were acquired from 101 subjects who underwent 3.0 T MRI (20 controls, 44 PD, 20 MSA, 12 PSP, and 5 corticobasal syndrome). We measured the middle cerebellar peduncle (MCP), superior cerebellar peduncle (SCP), midbrain, and pons. Brainstem size was measured by area or length of the longitudinal axis, which we named the "one line" method. We conducted intraclass correlation coefficients to assess the extent of agreement and consistency among raters, and receiver operating characteristic curves were used to determine diagnostic accuracy. RESULTS: Intraclass correlation coefficients (ICC) of MCP width were excellent in sagittal and axial sections while those of SCP width were moderate. There were also excellent ICCs between raters for "one line" method of the midbrain and pons, while areas showed good ICCs. "One line" method and area of the midbrain were better than SCP width for the differential diagnosis of PSP from MSA-P and PD. In contrast, there was no clearly superior measurement for differentially diagnosing MSA-P. CONCLUSIONS: The "one line" method was comparable with area for inter-rater agreement and diagnostic accuracy even though this was a simple and fast way.

Disruption of network for visual perception of natural motion in primary dystonia.

In healthy subjects, brain activation in motor regions is greater during the visual perception of "natural" target motion, which complies with the two-thirds power law, than of "unnatural" motion, which does not. It is unknown whether motion perception is normally mediated by a specific network that can be altered in the setting of disease. We used block-design functional magnetic resonance imaging and covariance analysis to identify normal network topographies activated in response to "natural" versus "unnatural" motion. A visual motion perception-related pattern (VPRP) was identified in 12 healthy subjects, characterized by covarying activation responses in the inferior parietal lobule, frontal operculum, lateral occipitotemporal cortex, amygdala, and cerebellum (Crus I). Selective VPRP activation during "natural" motion was confirmed in 12 testing scans from healthy subjects. Consistent network activation was not seen, however, in 29 patients with dystonia, a neurodevelopmental disorder in which motion perception pathways may be involved. Using diffusion tractography, we evaluated the integrity of anatomical connections between the major VPRP nodes. Indeed, fiber counts in these pathways were substantially reduced in the dystonia subjects. In aggregate, the findings associate normal motion perception with a discrete brain network which can be disrupted under pathological conditions.

Metabolic resting-state brain networks in health and disease.

The delineation of resting state networks (RSNs) in the human brain relies on the analysis of temporal fluctuations in functional MRI signal, representing a small fraction of total neuronal activity. Here, we used metabolic PET, which maps nonfluctuating signals related to total activity, to identify and validate reproducible RSN topographies in healthy and disease populations. In healthy subjects, the dominant (first component) metabolic RSN was topographically similar to the default mode network (DMN). In contrast, in Parkinson's disease (PD), this RSN was subordinated to an independent disease-related pattern. Network functionality was assessed by quantifying metabolic RSN expression in cerebral blood flow PET scans acquired at rest and during task performance. Consistent task-related deactivation of the "DMN-like" dominant metabolic RSN was observed in healthy subjects and early PD patients; in contrast, the subordinate RSNs were activated during task performance. Network deactivation was reduced in advanced PD; this abnormality was partially corrected by dopaminergic therapy. Time-course comparisons of DMN loss in longitudinal resting metabolic scans from PD and Alzheimer's disease subjects illustrated that significant reductions appeared later for PD, in parallel with the development of cognitive dysfunction. In contrast, in Alzheimer's disease significant reductions in network expression were already present at diagnosis, progressing over time. Metabolic imaging can directly provide useful information regarding the resting organization of the brain in health and disease.

Parkinson's disease-related network topographies characterized with resting state functional MRI.

Spatial covariance mapping can be used to identify and measure the activity of disease-related functional brain networks. While this approach has been widely used in the analysis of cerebral blood flow and metabolic PET scans, it is not clear whether it can be reliably applied to resting state functional MRI (rs-fMRI) data. In this study, we present a novel method based on independent component analysis (ICA) to characterize specific network topographies associated with Parkinson's disease (PD). Using rs-fMRI data from PD and healthy subjects, we used ICA with bootstrap resampling to identify a PD-related pattern that reliably discriminated the two groups. This topography, termed rs-MRI PD-related pattern (fPDRP), was similar to previously characterized disease-related patterns identified using metabolic PET imaging. Following pattern identification, we validated the fPDRP by computing its expression in rs-fMRI testing data on a prospective case basis. Indeed, significant increases in fPDRP expression were found in separate sets of PD and control subjects. In addition to providing a similar degree of group separation as PET, fPDRP values correlated with motor disability and declined toward normal with levodopa administration. Finally, we used this approach in conjunction with neuropsychological performance measures to identify a separate PD cognition-related pattern in the patients. This pattern, termed rs-fMRI PD cognition-related pattern (fPDCP), was topographically similar to its PET-derived counterpart. Subject scores for the fPDCP correlated with executive function in both training and testing data. These findings suggest that ICA can be used in conjunction with bootstrap resampling to identify and validate stable disease-related network topographies in rs-fMRI. Hum Brain Mapp 38:617-630, 2017. © 2016 Wiley Periodicals, Inc.

Spontaneous brain activity in the sensorimotor cortex in amyotrophic lateral sclerosis can be negatively regulated by corticospinal fiber integrity.

Previous studies failed to detect reduced value of the amplitude of low frequency fluctuation (ALFF) derived from resting state functional magnetic resonance imaging in the primary motor cortex in amyotrophic lateral sclerosis (ALS) though primary motor cortex was mainly affected with ALS. We aimed to investigate the cause of masking the abnormality in the primary motor cortex in ALS and usefulness of ALFF for differential diagnosis among diseases showing muscle weakness. We enrolled ten patients with ALS and eleven disease controls showing muscle weakness. Voxel-wise analysis revealed that significant reduction of ALFF value was present in the right sensorimotor cortex in ALS. There was a significant negative correlation between ALFF value in the right sensorimotor cortex and fractional anisotropy (FA) value in the posterior limbs of the internal capsule (PLIC). For a diagnostic tool, the area under receiver operating characteristic curve improved if the ALS patients with disease duration >1 year were excluded. The present findings raised the possibility of usefulness of ALFF value in the sensorimotor cortex for differential diagnosis of ALS, and supported the notion that adjustment for FA value in the PLIC could improve accuracy.

The visual perception of natural motion: abnormal task-related neural activity in DYT1 dystonia.

Although primary dystonia is defined by its characteristic motor manifestations, non-motor signs and symptoms have increasingly been recognized in this disorder. Recent neuroimaging studies have related the motor features of primary dystonia to connectivity changes in cerebello-thalamo-cortical pathways. It is not known, however, whether the non-motor manifestations of the disorder are associated with similar circuit abnormalities. To explore this possibility, we used functional magnetic resonance imaging to study primary dystonia and healthy volunteer subjects while they performed a motion perception task in which elliptical target trajectories were visually tracked on a computer screen. Prior functional magnetic resonance imaging studies of healthy subjects performing this task have revealed selective activation of motor regions during the perception of 'natural' versus 'unnatural' motion (defined respectively as trajectories with kinematic properties that either comply with or violate the two-thirds power law of motion). Several regions with significant connectivity changes in primary dystonia were situated in proximity to normal motion perception pathways, suggesting that abnormalities of these circuits may also be present in this disorder. To determine whether activation responses to natural versus unnatural motion in primary dystonia differ from normal, we used functional magnetic resonance imaging to study 10 DYT1 dystonia and 10 healthy control subjects at rest and during the perception of 'natural' and 'unnatural' motion. Both groups exhibited significant activation changes across perceptual conditions in the cerebellum, pons, and subthalamic nucleus. The two groups differed, however, in their responses to 'natural' versus 'unnatural' motion in these regions. In healthy subjects, regional activation was greater during the perception of natural (versus unnatural) motion (P < 0.05). By contrast, in DYT1 dystonia subjects, activation was relatively greater during the perception of unnatural (versus natural) motion (P < 0.01). To explore the microstructural basis for these functional changes, the regions with significant interaction effects (i.e. those with group differences in activation across perceptual conditions) were used as seeds for tractographic analysis of diffusion tensor imaging scans acquired in the same subjects. Fibre pathways specifically connecting each of the significant functional magnetic resonance imaging clusters to the cerebellum were reconstructed. Of the various reconstructed pathways that were analysed, the ponto-cerebellar projection alone differed between groups, with reduced fibre integrity in dystonia (P < 0.001). In aggregate, the findings suggest that the normal pattern of brain activation in response to motion perception is disrupted in DYT1 dystonia. Thus, it is unlikely that the circuit changes that underlie this disorder are limited to primary sensorimotor pathways.

Thalamocortical Connectivity Correlates with Phenotypic Variability in Dystonia.

Dystonia is a brain disorder characterized by abnormal involuntary movements without defining neuropathological changes. The disease is often inherited as an autosomal-dominant trait with incomplete penetrance. Individuals with dystonia, whether inherited or sporadic, exhibit striking phenotypic variability, with marked differences in the somatic distribution and severity of clinical manifestations. In the current study, we used magnetic resonance diffusion tensor imaging to identify microstructural changes associated with specific limb manifestations. Functional MRI was used to localize specific limb regions within the somatosensory cortex. Microstructural integrity was preserved when assessed in subrolandic white matter regions somatotopically related to the clinically involved limbs, but was reduced in regions linked to clinically uninvolved (asymptomatic) body areas. Clinical manifestations were greatest in subjects with relatively intact microstructure in somatotopically relevant white matter regions. Tractography revealed significant phenotype-related differences in the visualized thalamocortical tracts while corticostriatal and corticospinal pathways did not differ between groups. Cerebellothalamic microstructural abnormalities were also seen in the dystonia subjects, but these changes were associated with genotype, rather than with phenotypic variation. The findings suggest that the thalamocortical motor system is a major determinant of dystonia phenotype. This pathway may represent a novel therapeutic target for individuals with refractory limb dystonia.

Fractional anisotropy in the supplementary motor area correlates with disease duration and severity of amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is progressive and fatal neurodegenerative disorder with upper and lower motor neuron signs. There are no biomarkers to track disease progression. To address this issue, we investigated regions in which fractional anisotropy (FA) values derived from diffusion weighted images correlated with both disease severity and duration in ALS patients. Fourteen patients with ALS were enrolled in this study. Voxel-based analysis revealed volume of interests (VOIs) showing significant correlation. Finally, Spearman rank correlation coefficient was assessed between FA value in each VOI and disease severity or duration. In the VOI of left supplementary motor area (SMA), FA value significantly correlated with disease severity and duration both (disease severity, rho = 0.59, p = 0.025; disease duration, rho = -0.69, p = 0.006). The present finding suggested the possibility that the abnormality in motor-related region including SMA could be a candidate for a biomarker to track disease progression.

18FDG-microPET and MR DTI findings in Tor1a+/- heterozygous knock-out mice.

TorsinA is an important protein in brain development, and plays a role in the regulation of neurite outgrowth and synaptic function. Patients with the most common form of genetic dystonia carry a mutation (DYT1) in one copy of the Tor1a gene, a 3-bp deletion, causing removal of a single glutamic acid from torsinA. Previous imaging studies have shown that abnormal cerebellar metabolism and damaged cerebello-thalamo-cortical pathway contribute to the pathophysiology of DYT1 dystonia. However, how a mutation in one copy of the Tor1a gene causes these abnormalities is not known. We studied Tor1a heterozygous knock-out mice in vivo with FDG-PET and ex vivo with diffusion tensor imaging. We found metabolic abnormalities in cerebellum, caudate-putamen, globus pallidus, sensorimotor cortex and subthalamic nucleus. We also found that FA was increased in caudate-putamen, sensorimotor cortex and brainstem. We compared our findings with a previous imaging study of the Tor1a knock-in mice. Our study suggested that having only one normal copy of Tor1a gene may be responsible for the metabolic abnormalities observed; having a copy of mutant Tor1a, on the other hand, may be responsible for white matter pathway damages seen in DYT1 dystonia subjects.

The TRK-fused gene is mutated in hereditary motor and sensory neuropathy with proximal dominant involvement.

Hereditary motor and sensory neuropathy with proximal dominant involvement (HMSN-P) is an autosomal-dominant neurodegenerative disorder characterized by widespread fasciculations, proximal-predominant muscle weakness, and atrophy followed by distal sensory involvement. To date, large families affected by HMSN-P have been reported from two different regions in Japan. Linkage and haplotype analyses of two previously reported families and two new families with the use of high-density SNP arrays further defined the minimum candidate region of 3.3 Mb in chromosomal region 3q12. Exome sequencing showed an identical c.854C>T (p.Pro285Leu) mutation in the TRK-fused gene (TFG) in the four families. Detailed haplotype analysis suggested two independent origins of the mutation. Pathological studies of an autopsied patient revealed TFG- and ubiquitin-immunopositive cytoplasmic inclusions in the spinal and cortical motor neurons. Fragmentation of the Golgi apparatus, a frequent finding in amyotrophic lateral sclerosis, was also observed in the motor neurons with inclusion bodies. Moreover, TAR DNA-binding protein 43 kDa (TDP-43)-positive cytoplasmic inclusions were also demonstrated. In cultured cells expressing mutant TFG, cytoplasmic aggregation of TDP-43 was demonstrated. These findings indicate that formation of TFG-containing cytoplasmic inclusions and concomitant mislocalization of TDP-43 underlie motor neuron degeneration in HMSN-P. Pathological overlap of proteinopathies involving TFG and TDP-43 highlights a new pathway leading to motor neuron degeneration.

Parkin interacts with Klokin1 for mitochondrial import and maintenance of membrane potential.

Parkin is a multifunctional protein, including maintaining mitochondrial homeostasis. Recent evidence suggests that Parkin is recruited from the cytoplasm to damaged mitochondria with low membrane potential. We found that intracellular localization of Parkin changed with cellular growth phase. Parkin was preferentially localized in the mitochondria of cultured cells. The mitochondria with large amounts of Parkin showed preserved membrane potentials even during treatment with carbonyl cyanide m-chlorophenylhydrazone. Here we report a novel protein named Klokin 1 that transports Parkin to the mitochondria. Klokin 1 was localized to the mitochondria and enhanced mitochondrial expression of Parkin. Klokin 1 enhanced cell viability in Parkin-silenced cells. Klokin 1 expression was enhanced in the brains of Parkin-deficient mice but not in an autopsied PARK2 brain. Our findings indicate that mitochondrial Parkin prevents mitochondrial depolarization and that Klokin 1 may compensate for Parkin deficiency.

Which target is best for patients with Parkinson's disease? A meta-analysis of pallidal and subthalamic stimulation.

BACKGROUND: There is a growing body of evidence demonstrating that deep brain stimulation (DBS) of globus pallidus internus (GPi DBS) and subthalamic nucleus (STN DBS) are effective treatment for patients with Parkinson's disease (PD). However, it remains controversial whether the best stimulation target for a PD patient is GPi or STN. METHODS: A computer literature search of PubMed was carried out. We included randomised studies with direct comparison between targets. The outcome of unified PD rating scale (UPDRS) III was expressed as the standardised mean difference (SMD) between targets in baseline to endpoint change. Pooled risk ratio (RR) between targets was also used to assess adverse events. RESULTS: Four studies, comprising a total sample size of 502 PD patients (254 GPi DBS, 248 STN DBS), were included in this meta-analysis. The overall effect of GPi DBS on UPDRS III was not significantly different from STN DBS (SMD=0.19, 95% CI -0.2 to 0.58, p=0.34, four studies, n=448). This result was heterogeneous (p=0.03, I(2)=66%). In terms of adverse events, depression was significantly less frequent in patients with GPi DBS than STN DBS with homogeneous studies (pooled RR=0.53, 95% CI 0.31 to 0.90, p=0.02, three studies, n=479, I(2)=48%). CONCLUSIONS: The effect of GPi DBS was similar to STN DBS except for depression, however, only three studies described depression as adverse events. We need additional randomised trials with direct comparison between targets based on unified scoring of adverse events.

Reduced alpha-synuclein in cerebrospinal fluid in synucleinopathies: evidence from a meta-analysis.

Alpha-synuclein plays a key role in the pathology of synucleinopathies including Parkinson's disease (PD) and multiple system atrophy (MSA). However, whether alpha-synuclein level in cerebrospinal fluid (CSF) could distinguish synucleinopathies from progressive supranuclear palsy (PSP) is still a contentious issue. A comprehensive literature search yielded nine eligible studies. We expressed the between-group difference of the concentration of alpha-synuclein in CSF as the standardized mean difference. The proportion of variation attributable to heterogeneity was computed and expressed as I(2) . Nine studies involved 537 controls, 843 PD, 130 MSA, and 98 PSP patients. The overall effect of PD on alpha-synuclein in CSF was significantly different from normal control or disease control (standardized mean difference = -0.67, P < 0.00001). These studies were heterogeneous (I(2) = 40%). Alpha-synuclein in CSF in MSA was significantly reduced relative to controls with heterogeneous studies (standardized mean difference = -0.75, P < 0.0001; I(2) = 62%). In contrast, no significant difference of alpha-synuclein in CSF was observed between PSP and controls with heterogeneous studies (standardized mean difference = -0.28, P = 0.13; I(2) = 53%). Alpha-synuclein in CSF was significantly reduced in synucleinopathies compared with PSP ("PD vs. PSP": standardized mean difference = -0.38, P = 0.001; "MSA vs. PSP": standardized mean difference = -0.66, P < 0.00001). The included studies were homogeneous (I(2) = 0%). Our study showed that alpha-synuclein levels in CSF in synucleinopathies was significantly lower than in PSP. This finding provides insights into the pathophysiological difference between synucleinopathies and PSP as well as possibility of development of a tool for differential diagnosis between MSA and PSP using enzyme-linked immunosorbent assay (ELISA) and similar methods.

Clinicopathologic features of autosomal recessive amyotrophic lateral sclerosis associated with optineurin mutation.

We performed clinicopathological analyses of two amyotrophic lateral sclerosis (ALS) patients with homozygous Q398X optineurin (OPTN) mutation. Clinically, both patients presented signs of upper and lower motor neuron degeneration, but only Patient 1 showed gradual frontal dysfunction and extrapyramidal signs, and temporal lobe and motor cortex atrophy. Neuropathological examination of Patient 1 revealed extensive cortical and spinal motor neuron degeneration and widespread degeneration of the basal ganglia. Bilateral corticospinal tracts exhibited degeneration. Loss of spinal anterior horn cells (AHCs) and gliosis were observed, whereas posterior columns, Clarke's columns, intermediate lateral columns, and the Onuf's nucleus were spared. In the brainstem, moderate neuronal loss and gliosis were noted in the hypoglossal and facial motor nuclei. No Bunina bodies were found in the surviving spinal and brainstem motor neurons. Transactivation response (TAR) DNA-binding protein 43 (TDP-43)-positive neuronal and glial cytoplasmic inclusions were observed throughout the central nervous system. The Golgi apparatus in motor neurons of the brainstem and spinal cord was often fragmented. Immunoreactivity for OPTN was not observed in the brain and spinal cord, consistent with nonsense-mediated mRNA decay of OPTN. The TDP-43 pathology of Q398X was similar to that of an autosomal dominant E478G mutation. This result suggests that the loss-of-function, but not the proteinopathy itself, of OPTN results in TDP-43 deposits in neuronal and glial cytoplasm and Golgi apparatus fragmentation, leading to multisystem neurodegeneration.

Factors associated with a placebo effect in Parkinson's disease in clinical trials: a meta-analysis.

OBJECTIVES: Outcomes of clinical trials of treatment in patients with Parkinson's disease (PD) may be influenced by placebo effects. The aim of this study was to determine the factors associated with placebo effects in Parkinson's disease (PD) for guidance with design of future clinical trials. METHODS: Factors associated with placebo effects in PD were examined in a meta-analysis using a random effects model with pooling of placebo effects on the Unified Parkinson's Disease Rating Scale part III (UPDRS III) or Movement Disorder Society sponsored revision of UPDRS III (MDS-UPDRS III). The following prespecified variables were included in the analyses: with or without drug at baseline, with or without a placebo run-in phase, with or without motor fluctuation, published year, number of study sites, placebo administration period, age, sex, disease duration, and daily levodopa dose. Publication bias was assessed by visual inspection of funnel plots and adjusted using the trim-and-fill method. RESULTS: Thirty-eight articles with a total of 4828 subjects satisfied the inclusion criteria. There was a significant placebo effect using UPDRS III or MDS-UPDRS III (SMD = - 0.25; 95% CI - 0.35 to - 0.14; p < 0.001, I2 = 92%). Subgroup and/or multivariate meta-regression analyses revealed that placebo effects were associated with advanced PD (p = 0.04), drug exposure at baseline (p < 0.001), placebo administration period (p < 0.001), and disease duration (p < 0.01). CONCLUSIONS: The results of this study are important as guidance in design of future clinical trials in which the influence of placebo effects is minimized.

Preliminary study of substantia nigra analysis by tensorial feature extraction.

PURPOSE: Parkinson disease (PD) is a common progressive neurodegenerative disorder in our ageing society. Early-stage PD biomarkers are desired for timely clinical intervention and understanding of pathophysiology. Since one of the characteristics of PD is the progressive loss of dopaminergic neurons in the substantia nigra pars compacta, we propose a feature extraction method for analysing the differences in the substantia nigra between PD and non-PD patients. METHOD: We propose a feature-extraction method for volumetric images based on a rank-1 tensor decomposition. Furthermore, we apply a feature selection method that excludes common features between PD and non-PD. We collect neuromelanin images of 263 patients: 124 PD and 139 non-PD patients and divide them into training and testing datasets for experiments. We then experimentally evaluate the classification accuracy of the substantia nigra between PD and non-PD patients using the proposed feature extraction method and linear discriminant analysis. RESULTS: The proposed method achieves a sensitivity of 0.72 and a specificity of 0.64 for our testing dataset of 66 non-PD and 42 PD patients. Furthermore, we visualise the important patterns in the substantia nigra by a linear combination of rank-1 tensors with selected features. The visualised patterns include the ventrolateral tier, where the severe loss of neurons can be observed in PD. CONCLUSIONS: We develop a new feature-extraction method for the analysis of the substantia nigra towards PD diagnosis. In the experiments, even though the classification accuracy with the proposed feature extraction method and linear discriminant analysis is lower than that of expert physicians, the results suggest the potential of tensorial feature extraction.

Free-water diffusion magnetic resonance imaging under selegiline treatment in Parkinson's disease.

INTRODUCTION: Monoamine oxidase type B inhibitors, including selegiline, are established as anti-Parkinsonian Drugs. Inhibition of monoamine oxidase type B enzymes might suppress the inflammation because of inhibition to generate reactive oxygen species. However, its effect on brain microstructure remains unclear. The aim of this study is to elucidate white matter and substantia nigra (SN) microstructural differences between Patients with Parkinson's disease with and without selegiline treatment by two independently recruited cohorts. METHODS: Diffusion tensor imaging and free water imaging indices of WM and SN were compared among 22/15 Patients with Parkinson's disease with selegiline (PDselegiline(+)), 33/23 Patients with Parkinson's disease without selegiline (PDselegiline(-)), and 25/20 controls, in the first/second cohorts. Two cohorts were analyzed with different MRI protocols. RESULTS: Diffusion tensor imaging and free-water indices of major white matter tracts were significantly differed between the PDselegiline(-) and controls in both cohorts, although not between the PDselegiline(+) and controls except for restricted areas. Compared with the PDselegiline(+), free-water was significantly higher in the PDselegiline(-) in the inferior fronto-occipital fasciculus, superior longitudinal fasciculus, and superior and posterior corona radiata (first cohort) and the forceps major and splenium of the corpus callosum (second cohort). There were no significant differences in free-water of anterior or posterior substantia nigra between PDselegiline(+) and PDselegiline(-). CONCLUSIONS: Selegiline treatment might reduce the white matter microstructural abnormalities detected by free-water imaging in Parkinson's disease.