Background: Recent studies have addressed the role of structures other than the basal ganglia in the pathophysiology of craniocervical dystonia (CCD). Neuroimaging studies have attempted to identify structural abnormalities in CCD but a clear pattern of alteration has not been established. We performed whole-brain evaluation using voxel-based morphometry (VBM) to identify patterns of gray matter (GM) changes in CCD.Methods: We compared 27 patients with CCD matched in age and gender to 54 healthy controls. VBM was used to compare GM volumes. We created a two-sample t-test corrected for subjects’ age, and we tested with a level of significance of p < 0.001 and false discovery rate (FDR) correction (p < 0.05).Results: Voxel-based morphometry demonstrated significant reductions of GM using p < 0.001 in the cerebellar vermis IV/V, bilaterally in the superior frontal gyrus, precuneus, anterior cingulate and paracingulate, insular cortex, lingual gyrus, and calcarine fissure; in the left hemisphere in the supplementary motor area, inferior frontal gyrus, inferior parietal gyrus, temporal pole, supramarginal gyrus, rolandic operculum, hippocampus, middle occipital gyrus, cerebellar lobules IV/V, superior, and middle temporal gyri; in the right hemisphere, the middle cingulate and precentral gyrus. Our study did not report any significant result using the FDR correction. We also detected correlations between GM volume and age, disease duration, duration of botulinum toxin treatment, and the Marsden–Fahn dystonia scale scores.Conclusion: We detected large clusters of GM changes chiefly in structures primarily involved in sensorimotor integration, motor planning, visuospatial function, and emotional processing.

Objectives: To assess white matter abnormalities in Parkinson's disease (PD).Methods: A hundred and thirty-two patients with PD (mean age 60.93 years; average disease duration 7.8 years) and 137 healthy controls (HC; mean age 57.8 years) underwent the same MRI protocol. Patients were assessed by clinical scales and a complete neurological evaluation. We performed a TBSS analysis to compare patients and controls, and we divided patients into early PD, moderate PD, and severe PD and performed an ROI analysis using tractography.Results: With TBSS we found lower FA in patients in corpus callosum, internal and external capsule, corona radiata, thalamic radiation, sagittal stratum, cingulum and superior longitudinal fasciculus. Increased AD was found in the corpus callosum, fornix, corticospinal tract, superior cerebellar peduncle, cerebral peduncle, internal and external capsules, corona radiata, thalamic radiation and sagittal stratum and increased RD were seen in the corpus callosum, internal and external capsules, corona radiata, sagittal stratum, fornix, and cingulum. Regarding the ROIs, a GLM analysis showed abnormalities in all tracts, mainly in the severe group, when compared to HC, mild PD and moderate PD.Conclusions: Since major abnormalities were found in the severe PD group, we believe DTI analysis might not be the best tool to assess early alterations in PD, and probably, functional and other structural analysis might suit this purpose better. However it can be used to differentiate disease stages, and as a surrogate marker to assess disease progression, being an important measure that could be used in clinical trials.HIGHLIGHTS DTI is not the best tool to identify early PDDTI can differentiate disease stagesDTI analysis may be a useful marker for disease progression

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BackgroundMRI brain changes in Parkinson’s disease (PD) are controversial.ObjectivesWe aimed to describe structural and functional changes in PD.MethodsSixty-six patients with PD (57.94 ± 10.25 years) diagnosed according to the UK Brain Bank criteria were included. We performed a whole brain analysis using voxel-based morphometry (VBM–SPM 8 software), cortical thickness (CT) using CIVET, and resting-state fMRI using the Neuroimaging Analysis Kit software to compare patients and controls. For VBM and CT we classified subjects into three groups according to disease severity: mild PD [Hoehn and Yahr scale (HY) 1–1.5], moderate PD (HY 2–2.5), and severe PD (HY 3–5).ResultsWe observed gray matter atrophy in the insula and inferior frontal gyrus in the moderate PD and in the insula, frontal gyrus, putamen, cingulated, and paracingulate gyri in the severe groups. In the CT analysis, in mild PD, cortical thinning was restricted to the superior temporal gyrus, gyrus rectus, and olfactory cortex; in the moderate group, the postcentral gyrus, supplementary motor area, and inferior frontal gyrus were also affected; in the severe PD, areas such as the precentral and postentral gyrus, temporal pole, fusiform, and occipital gyrus had reduced cortical thinning. We observed altered connectivity at the default mode, visual, sensorimotor, and cerebellar networks.ConclusionSubjects with mild symptoms already have cortical involvement; however, further cerebral involvement seems to follow Braak’s proposed mechanism. Similar regions are affected both structurally and functionally. We believe the combination of different MRI techniques may be useful in evaluating progressive brain involvement and they may eventually be used as surrogate markers of disease progression.

IntroductionOur goal was to investigate the cortical thickness and subcortical volume in subjects with craniocervical dystonia and its subgroups.MethodsWe studied 49 subjects, 17 with cervical dystonia, 18 with blepharospasm or oromandibular dystonia, and 79 healthy controls. We performed a whole group analysis, followed by a subgroup analysis. We used Freesurfer software to measure cortical thickness, subcortical volume and to perform a primary exploratory analysis in the craniocervical dystonia group, complemented by a region of interest analysis. We also performed a secondary analysis, with data generated from Freesurfer for subgroups, corrected by false discovery rate. We then performed an exploratory generalized linear model with significant areas for the previous steps using clinical features as independent variables.ResultsThe primary exploratory analysis demonstrated atrophy in visual processing regions in craniocervical dystonia. The secondary analysis demonstrated atrophy in motor, sensory, and visual regions in blepharospasm or oromandibular dystonia, as well as in limbic regions in cervical dystonia. Cervical dystonia patients also had greater cortical thickness than blepharospasm or oromandibular dystonia patients in frontal pole and medial orbitofrontal regions. Finally, we observed an association between precuneus, age of onset of dystonia and age at the MRI exam, in craniocervical dystonia; between motor and limbic regions and age at the exam, clinical score and time on botulinum toxin in cervical dystonia and sensory regions and age of onset and time on botulinum toxin in blepharospasm or oromandibular dystonia.ConclusionsWe detected involvement of visual processing regions in craniocervical dystonia, and a pattern of involvement in cervical dystonia and blepharospasm or oromandibular dystonia, including motor, sensory and limbic areas. We also showed an association of cortical thickness atrophy and younger onset age, older age at the MRI exam, higher clinical score and an uncertain association with longer time on botulinum toxin.

Background: Dystonias are hyperkinetic movement disorders characterized by involuntary muscle contractions resulting in abnormal torsional movements and postures. Recent neuroimaging studies in idiopathic craniocervical dystonia (CCD) have uncovered the involvement of multiple areas, including cortical ones. Our goal was to evaluate white matter (WM) microstructure in subjects with CCD using diffusion tensor imaging (DTI) analysis. Methods: We compared 40 patients with 40 healthy controls. Patients were then divided into subgroups: cervical dystonia, blepharospasm, blepharospasm + oromandibular dystonia, blepharospasm + oromandibular dystonia + cervical dystonia, using tract-based spatial statistics. We performed a region of interest-based analysis and tractography as confirmatory tests. Results: There was no significant difference in the mean fractional anisotropy (FA) and mean diffusivity (MD) between the groups in any analysis. Discussion: The lack of DTI changes in CCD suggests that the WM tracts are not primarily affected.

Parkinson's disease (PD) is an akinetic-rigid disorder characterized by basal ganglia dysfunction and a possible cerebello-thalamo-cortical circuit involvement. This study aims to investigate the pattern of cerebellar involvement in PD and to assess whether it correlates with clinical parameters. MRI scans were acquired from 50 healthy controls (HC) and 63 patients; 44 were classified as tremor-predominant-PD (PDT) and 19 as akinetic/rigidity-predominant-PD (PDAR). We designed an analysis of covariance including the three groups and contrasted as follows: (1) all 63 PD vs HC, (2) PDT vs HC, (3) PDAR vs HC, and (4) PDT vs PDAR. For a precise evaluation of the cerebellum, we used the SUIT tool for voxel-based morphometry. Applying p = 0.001 and extent threshold = 20 voxels, the overall PD group vs HC showed decreased gray matter (GM) in the left lobules VI and crus I. The PDT group showed decreased cerebellar GM when compared with HC at left lobules VI, VIIb, and VIIIa; at right lobules Crus I, VIIb, and VIIIb; and vermal lobules VI and VIIIa. When compared with PDAR, PDT also showed a decrease in the left lobules VIIIa (p < 0.001). There were small clusters of both positive and negative correlation between disease duration and PDT group. The PDAR group showed no cerebellar changes. Our findings support the growing evidence of cerebellar involvement in the pathogenesis of the resting tremor.

Parkinson disease (PD) is characterized by a combination of motor and non-motor symptoms (NMS). While the motor symptoms are well defined, the NMS could be underestimated. The prevalence of NMS after 7 years of disease duration is around 90% 1 and several studies showed that NMS, such as psychiatric disorders and cognitive impairment could be potentially exacerbated by the treatment.The prevalence rate of PD has been estimated in 3.3% in the Brazilian population 2 . Cognitive impairment is a common NMS in PD patients, and increasing age, older age at onset of disease, longer disease duration, severity of parkinsonism, male gender, higher doses of antiparkinsonian drugs and the presence of psychiatric symptoms have been linked to increased risk of developing dementia 2,3 . Despite the high impact in quality of life of PD patients 4 the incidence and prevalence rates of cognitive impairment and psychiatric symptoms in Brazilian PD patients are scarce 5 .Therefore we evaluated the demographic and clinical characteristics of a cohort of Brazilian PD patients, using validated scales to assess the motor symptoms and NMS. Our goal was ABSTRACTObjective: To estimate the clinical and demographics aspects that may contribute to cognitive impairment and psychiatric symptoms in Parkinson's disease (PD). Method: All patients answered a structured standardized clinical questionnaire. Two movement disorders specialists performed the following scale: Unified Parkinson's disease rating score (UPDRS), the modified Hoehn and Yahr staging, Schwab and England Scale, SCOPA cognition (SCOPA-COG), SCOPA-Psychiatric complications (SCOPA-PC) and Non-Motor Symptoms Scale (NMSS). We built a generalized linear model to assess predictors for the SCOPA-COG and SCOPA-PC scores. Results: Almost 37% of our patients were demented as per SCOPA-COG scores. Level of education and the UPDRS-Subscale III were predictors of cognitive impairment. Higher scores in domain 3 of NMSS and male gender were associated with psychiatric complications as assessed per the SCOPA-PC. Conclusion: Level of education and disease severity are predictors of dementia in PD. Psychiatric complications are more commonly observed in men.Keywords: Parkinson, cognition, psychiatric status rating scales, dementia, risk factors. RESUMOObjetivo: Estimar aspectos clínicos e demográficos que podem contribuir para o comprometimento cognitivo e sintomas psiquiátricos na doença de Parkinson (DP). Método: Todos pacientes responderam questionário clínico padrão. Duas especialistas em distúrbios do movimento aplicaram as seguintes escalas: Unified Parkinson's disease rating score (UPDRS), Hoehn and Yahr estágios, Schwab and England Scale, SCOPA cognição (SCOPA-COG), SCOPA-Complicações psiquiátricas (SCOPA-CP) e Escala de sintomas não motores (NMSS). Utilizamos análise multivariada, para avaliar os preditores relacionados ao SCOPA-COG e SCOPA CP. Resultados: Aproximadamente 37% dos nossos pacientes foram classificados como dementes utilizando-se os valores obtidos no SCOPA-COG. Nível educ...