Increased prefrontal volume in PD with levodopa‐induced dyskinesias: A voxel‐based morphometry study

Levodopa‐induced dyskinesias represent disabling complications from long‐term therapy with dopaminergic drugs for treating Parkinson's disease (PD). Although several neuroimaging studies have reported altered striatofrontal function that contributes to the emergence of these motor complications, the neuroanatomical correlates of this disorder are still unknown. Optimized voxel‐based morphometry (VBM) was applied to the MRI brain images of 36 PD patients with levodopa‐induced dyskinesias, 36 PD patients without levodopa‐induced dyskinesias, and 32 age‐ and sex‐matched controls. The VBM analysis comparing dyskinetic and nondyskinetic groups provided evidence of increased gray matter volume of the bilateral inferior frontal gyrus in dyskinetic patients, a finding that was more evident in patients with early‐onset PD. No significant differences were detected in the dyskinetic and nondyskinetic groups when compared with the controls. Our findings suggest that the presence of dyskinesias in patients with PD is characterized by an aberrant neural plasticity that could play a role in the pathophysiology of these motor complications. © 2011 Movement Disorder Society     

Callosal tissue loss in multiple system atrophy—A one‐year follow‐up study

Multiple system atrophy (MSA) is a neurodegenerative disease not only affecting the basal ganglia, brainstem, cerebellum, and intermediolateral cell columns of the spinal cord but also the cerebral cortex. Clinically, cerebellar (MSA‐C) and parkinsonian variants of MSA (MSA‐P) are distinguished. We investigated 14 MSA patients (10 MSA‐C, 4 MSA‐P, men: 7, women: 7; age: 61.1 ± 3.3 years) and 14 matched controls (men: 7, women: 7; age: 58.6 ± 5.1 years) with voxel‐based morphometry (VBM) to analyze gray and white matter differences both at baseline and at follow‐up, 1 year later. Baseline comparisons between patients and controls confirmed significantly less gray matter in MSA in the cerebellum and cerebral cortex, and significantly less white matter in the cerebellar peduncles and brainstem. Comparisons of tissue‐loss profiles (i.e., baseline versus follow‐up) between patients and controls, revealed white matter reduction in MSA along the middle cerebellar peduncles, reflecting degeneration of the ponto‐cerebellar tract as a particularly prominent and progressive morphological alteration in MSA. Comparisons between baseline and follow‐up, separately performed in patients and controls, revealed additional white matter reduction in MSA along the corpus callosum at follow‐up. This was replicated through additional shape‐based analyses indicating a reduced callosal thickness in the anterior and posterior midbody, extending posteriorly into the isthmus. Callosal atrophy may possibly reflect a disease‐specific pattern of neurodegeneration and cortical atrophy, fitting well with the predominant impairment of motor functions in the MSA patients. © 2010 Movement Disorder Society     

Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging

Mapping gray matter (GM) pathology in Parkinson's disease (PD) with conventional MRI is challenging, and the need for more sensitive brain imaging techniques is essential to facilitate early diagnosis and assessment of disease severity. GM microstructure was assessed with GM‐based spatial statistics applied to diffusion kurtosis imaging (DKI) and neurite orientation dispersion imaging (NODDI) in 30 participants with PD and 28 age‐ and gender‐matched controls. These were compared with currently used assessment methods such as diffusion tensor imaging (DTI), voxel‐based morphometry (VBM), and surface‐based cortical thickness analysis. Linear discriminant analysis (LDA) was also used to test whether subject diagnosis could be predicted based on a linear combination of regional diffusion metrics. Significant differences in GM microstructure were observed in the striatum and the frontal, temporal, limbic, and paralimbic areas in PD patients using DKI and NODDI. Significant correlations between motor deficits and GM microstructure were also noted in these areas. Traditional VBM and surface‐based cortical thickness analyses failed to detect any GM differences. LDA indicated that mean kurtosis (MK) and intra cellular volume fraction (ICVF) were the most accurate predictors of diagnostic status. In conclusion, DKI and NODDI can detect cerebral GM abnormalities in PD in a more sensitive manner when compared with conventional methods. Hence, these methods may be useful for the diagnosis of PD and assessment of motor deficits. Hum Brain Mapp 38:3704–3722, 2017. © 2017 Wiley Periodicals, Inc.     

A deformation‐based morphometry study of patients with early‐stage Parkinson’s disease

Background and purpose: Previous volumetric magnetic resonance imaging (MRI) studies of Parkinson’s disease (PD) utilized primarily voxel‐based morphometry (VBM), and investigated mostly patients with moderate‐ to late‐stage disease. We now use deformation‐based morphometry (DBM), a method purported to be more sensitive than VBM, to test for atrophy in patients with early‐stage PD. Methods: T1‐weighted MRI images from 24 early‐stage PD patients and 26 age‐matched normal control subjects were compared using DBM. Two separate studies were conducted, where two minimally‐biased nonlinear intensity‐average were created; one for all subjects and another for just the PD patients. The DBM technique creates an average population‐based MRI‐average in an iterative hierarchical fashion. The nonlinear transformations estimated to match each subject to the MRI‐average were then analysed. Results: The DBM comparison between patients and controls revealed significant contraction in the left cerebellum, and non‐significant trends towards frontal, temporal and cingulate sulcal expansions with frontal and temporal white matter contractions. Within the patient group, the unified PD rating scores were highly correlated with local expansions in or near sulci bordering on frontal and temporal cortex. Conclusion: Our results suggest that DBM could be a sensitive method for detecting morphological changes in early‐stage PD.     

Combined brain voxel-based morphometry and diffusion tensor imaging study in idiopathic Restless Legs Syndrome patients

Background and purpose: The aim of this study was to evaluate the presence of abnormalities in the brain of patients with restless legs syndrome (RLS) using voxel‐based morphometry and diffusion tensor imaging (DTI). Methods: Twenty patients and twenty controls were studied. Voxel‐based morphometry analysis was performed using statistical parametric mapping (SPM8) and FSL‐VBM software tools. For voxel‐wise analysis of DTI, tract‐based spatial statistics (TBSS) and SPM8 were used. Results: Applying an appropriate threshold of probability, no significant results were found either in comparison or in correlation analyses. Conclusions: Our data argue against clear structural or microstructural abnormalities in the brain of patients with idiopathic RLS, suggesting a prevalent role of functional or metabolic impairment.     

The arginine growth hormone stimulation test in bradykinetic‐rigid parkinsonisms

The arginine growth hormone (GH) stimulation test differentiates the Parkinsonian variant of multiple system atrophy (MSA‐P) from idiopathic Parkinson's disease (PD). Our aim was to evaluate the accuracy of the arginine GH stimulation test in distinguishing between PSP, MSA‐P, and PD. We measured the GH response to arginine in serum samples of 26 MSA‐P, 23 PSP, and 26 PD patients, and in 80 healthy controls. We used ANOVA followed by the Bonferroni test to compare GH values and peaks among groups. We used receiver operating characteristic curve analysis to establish the arginine cut‐off level that best differentiated between MSA‐P, PSP, and PD. The GH peak was significantly lower (P < 0.01) in MSA‐P (1.46 ± 0.29 μg/L) than in both PD (8.74 ± 0.98 μg/L) and PSP (6.64 ± 0.82 μg/L) patients, and controls (8.59 ± 0.44 μg/L). Growth hormone peaked later in PSP patients than in PD patients and controls. At a cut‐off level of 4 μg/L, arginine test distinguished MSA‐P from PD with a sensitivity of 92% and a specificity of 96%, and MSA‐P from PSP with a sensitivity of 78% and a specificity of 96%. The GH response to arginine differentiates MSA‐P from PD and PSP with a good diagnostic accuracy. The neuroendocrine response to arginine of PSP patients differed from that of MSA‐P patients, but was not identical to that of normal controls and PD patients. Our results suggest that the impairment of the central mechanisms modulating GH release differs between PSP and MSA‐P. © 2007 Movement Disorder Society     

Corticospinal tract degeneration in ALS unmasked in T1‐weighted images using texture analysis

The purpose of this study was to investigate whether textures computed from T1‐weighted (T1W) images of the corticospinal tract (CST) in amyotrophic lateral sclerosis (ALS) are associated with degenerative changes evaluated by diffusion tensor imaging (DTI). Nineteen patients with ALS and 14 controls were prospectively recruited and underwent T1W and diffusion‐weighted magnetic resonance imaging. Three‐dimensional texture maps were computed from T1W images and correlated with the DTI metrics within the CST. Significantly correlated textures were selected and compared within the CST for group differences between patients and controls using voxel‐wise analysis. Textures were correlated with the patients' clinical upper motor neuron (UMN) signs and their diagnostic accuracy was evaluated. Voxel‐wise analysis of textures and their diagnostic performance were then assessed in an independent cohort with 26 patients and 13 controls. Results showed that textures autocorrelation, energy, and inverse difference normalized significantly correlated with DTI metrics (p < .05) and these textures were selected for further analyses. The textures demonstrated significant voxel‐wise differences between patients and controls in the centrum semiovale and the posterior limb of the internal capsule bilaterally (p < .05). Autocorrelation and energy significantly correlated with UMN burden in patients (p < .05) and classified patients and controls with 97% accuracy (100% sensitivity, 92.9% specificity). In the independent cohort, the selected textures demonstrated similar regional differences between patients and controls and classified participants with 94.9% accuracy. These results provide evidence that T1‐based textures are associated with degenerative changes in the CST.     

Chemotherapy‐induced structural changes in cerebral white matter and its correlation with impaired cognitive functioning in breast cancer patients

A subgroup of patients with breast cancer suffers from mild cognitive impairment after chemotherapy. To uncover the neural substrate of these mental complaints, we examined cerebral white matter (WM) integrity after chemotherapy using magnetic resonance diffusion tensor imaging (DTI) in combination with detailed cognitive assessment. Postchemotherapy breast cancer patients (n = 17) and matched healthy controls (n = 18) were recruited for DTI and neuropsychological testing, including the self‐report cognitive failure questionnaire (CFQ). Differences in DTI WM integrity parameters [fractional anisotropy (FA) and mean diffusivity (MD)] between patients and healthy controls were assessed using a voxel‐based two‐sample‐t‐test. In comparison with healthy controls, the patient group demonstrated decreased FA in frontal and temporal WM tracts and increased MD in frontal WM. These differences were also confirmed when comparing this patient group with an additional control group of nonchemotherapy‐treated breast cancer patients (n = 10). To address the heterogeneity observed in cognitive function after chemotherapy, we performed a voxel‐based correlation analysis between FA values and individual neuropsychological test scores. Significant correlations of FA with neuropsychological tests covering the domain of attention and processing/psychomotor speed were found in temporal and parietal WM tracts. Furthermore, CFQ scores correlated negatively in frontal and parietal WM. These studies show that chemotherapy seems to affect WM integrity and that parameters derived from DTI have the required sensitivity to quantify neural changes related to chemotherapy‐induced mild cognitive impairment. Hum Brain Mapp 32:480–493, 2011. © 2010 Wiley‐Liss, Inc.     

The value of novel MRI techniques in Parkinson-plus syndromes: Diffusion tensor imaging and anatomical connectivity studies

Conventional MRI is a well-described, highly useful tool for the differential diagnosis of degenerative parkinsonian syndromes. Nevertheless, the observed abnormalities may only appear in late-stage disease. Diffusion tensor imaging (DTI) can identify microstructural changes in brain tissue integrity and connectivity. The technique has proven value in the differential diagnosis of multiple system atrophy (MSA), progressive supranuclear palsy (PSP) and Parkinson's disease (PD). Here, we performed a systematic review of the literature on the main corticosubcortical DTI abnormalities identified to date in the context of the diagnosis of MSA and PSP with diffusion-weighted imaging, diffusion tensor imaging and anatomical connectivity studies. In good agreement with the histological data, increased diffusivity in the putamen (in MSA and PSP), in the middle cerebellar peduncles (in MSA) and in the upper cerebellar peduncles (in PSP) has been reported. Motor pathway involvement is characterized by low fraction anisotropy (FA) in the primary motor cortex in MSA-P and PSP, a high apparent diffusion coefficient (ADC) and low FA in the supplementary motor area in PSP. We then outline the value of these techniques in differential diagnosis (especially with respect to PD). Anatomical connectivity studies have revealed a lower number of fibers in the corticospinal tract in MSA and PSP (relative to PD and controls) and fewer tracked cortical projection fibers in patients with PSP or late-stage MSA (relative to patients with early MSA or PD and controls). Lastly, we report the main literature data concerning the value of DTI parameters in monitoring disease progression. The observed correlations between DTI parameters on one hand and clinical scores and/or disease duration on the other constitute strong evidence of the value of DTI in monitoring disease progression. In MSA, the ataxia score was correlated with ADC values in the pons and the upper cerebellar peduncles, whereas both the motor score and the disease duration were correlated with putaminal ADC values. In conclusion, DTI and connectivity studies constitute promising tools for differentiating between “Parkinson-plus” syndromes.     

Intra‐ and inter‐network functional alterations in Parkinson's disease with mild cognitive impairment

Mild cognitive impairment (MCI) is prevalent in 15%–40% of Parkinson's disease (PD) patients at diagnosis. In this investigation, we study brain intra‐ and inter‐network alterations in resting state functional magnetic resonance imaging (rs‐fMRI) in recently diagnosed PD patients and characterise them as either cognitive normal (PD‐NC) or with MCI (PD‐MCI). Patients were divided into two groups, PD‐NC (N = 62) and PD‐MCI (N = 37) and for comparison, healthy controls (HC, N = 30) were also included. Intra‐ and inter‐network connectivity were investigated from participants’ rs‐fMRIs in 26 resting state networks (RSNs). Intra‐network differences were found between both patient groups and HCs for networks associated with motor control (motor cortex), spatial attention and visual perception. When comparing both PD‐NC and PD‐MCI, intra‐network alterations were found in RSNs related to attention, executive function and motor control (cerebellum). The inter‐network analysis revealed a hyper‐synchronisation between the basal ganglia network and the motor cortex in PD‐NC compared with HCs. When both patient groups were compared, intra‐network alterations in RSNs related to attention, motor control, visual perception and executive function were found. We also detected disease‐driven negative synchronisations and synchronisation shifts from positive to negative and vice versa in both patient groups compared with HCs. The hyper‐synchronisation between basal ganglia and motor cortical RSNs in PD and its synchronisation shift from negative to positive compared with HCs, suggest a compensatory response to basal dysfunction and altered basal‐cortical motor control in the resting state brain of PD patients. Hum Brain Mapp 38:1702–1715, 2017 . © 2016 Wiley Periodicals, Inc.     

BrainMap VBM: An environment for structural meta‐analysis

The BrainMap database is a community resource that curates peer‐reviewed, coordinate‐based human neuroimaging literature. By pairing the results of neuroimaging studies with their relevant meta‐data, BrainMap facilitates coordinate‐based meta‐analysis (CBMA) of the neuroimaging literature en masse or at the level of experimental paradigm, clinical disease, or anatomic location. Initially dedicated to the functional, task‐activation literature, BrainMap is now expanding to include voxel‐based morphometry (VBM) studies in a separate sector, titled: BrainMap VBM. VBM is a whole‐brain, voxel‐wise method that measures significant structural differences between or within groups which are reported as standardized, peak x–y–z coordinates. Here we describe BrainMap VBM, including the meta‐data structure, current data volume, and automated reverse inference functions (region‐to‐disease profile) of this new community resource. CBMA offers a robust methodology for retaining true‐positive and excluding false‐positive findings across studies in the VBM literature. As with BrainMap's functional database, BrainMap VBM may be synthesized en masse or at the level of clinical disease or anatomic location. As a use‐case scenario for BrainMap VBM, we illustrate a trans‐diagnostic data‐mining procedure wherein we explore the underlying network structure of 2,002 experiments representing over 53,000 subjects through independent components analysis (ICA). To reduce data‐redundancy effects inherent to any database, we demonstrate two data‐filtering approaches that proved helpful to ICA. Finally, we apply hierarchical clustering analysis (HCA) to measure network‐ and disease‐specificity. This procedure distinguished psychiatric from neurological diseases. We invite the neuroscientific community to further exploit BrainMap VBM with other modeling approaches.     

Assessment of cortical degeneration in patients with Parkinson's disease by voxel-based morphometry, cortical folding, and cortical thickness

Noninvasive brain imaging methods provide useful information on cerebral involution and degenerative processes. Here we assessed cortical degeneration in 20 nondemented patients with Parkinson's disease (PD) and 20 healthy controls using three quantitative neuroanatomical approaches: voxel‐based morphometry (VBM), cortical folding (BrainVisa), and cortical thickness (FreeSurfer). We examined the relationship between global and regional gray matter (GM) volumes, sulcal indices, and thickness measures derived from the previous methods as well as their association with cognitive performance, age, severity of motor symptoms, and disease stage. VBM analyses showed GM volume reductions in the left temporal gyrus in patients compared with controls. Cortical folding measures revealed significant decreases in the left frontal and right collateral sulci in patients. Finally, analysis of cortical thickness showed widespread cortical thinning in right lateral occipital, parietal and left temporal, frontal, and premotor regions. We found that, in patients, all global anatomical measures correlated with age, while GM volume and cortical thickness significantly correlated with disease stage. In controls, a significant association was found between global GM volume and cortical folding with age. Overall these results suggest that the three different methods provide complementary and related information on neurodegenerative changes occurring in PD, however, surface‐based measures of cortical folding and especially cortical thickness seem to be more sensitive than VBM to identify regional GM changes associated to PD. Hum Brain Mapp, 2012. © 2011 Wiley Periodicals, Inc.     

Voxel‐based morphometry in patients with obsessive‐compulsive behaviors in behavioral variant frontotemporal dementia

Background and purpose: Obsessions and compulsive (OC) behaviors are a frequent feature of behavioral variant frontotemporal dementia (bvFTD), but their structural correlates have not been definitively established. Methods: Patients with bvFTD presenting to the Mayo Clinic Alzheimer’s Disease Research Center were recruited. Each patient’s caregiver was given the Yale‐Brown Obsessive‐Compulsive scale (YBOCS) to document the type and presence of OC behaviors and to rate their severity. All subjects underwent standardized magnetic resonance imaging (MRI) that was evaluated using voxel‐based morphometry (VBM). Seventeen patients with bvFTD were recruited, and 11 were included in the study and compared with 11 age‐ and gender‐matched controls. Six were excluded for lack of MRI at the time of survey or a pre‐existing neurodegenerative condition. Results: Nine of the 11 reported OC behaviors, with the most frequent compulsions being checking, hoarding, ordering/arranging, repeating rituals, and cleaning. In the VBM analysis, total YBOCS score correlated with gray matter loss in the bilateral globus pallidus, left putamen, and in the lateral temporal lobe, particularly the left middle and inferior temporal gyri (P < 0.001 uncorrected for multiple comparisons). Conclusions: Obsessive‐compulsive behaviors were frequent among these patients. The correlation with basal ganglia atrophy may point to involvement of frontal subcortical neuronal networks. Left lateral temporal lobe volume loss probably reflects the number of MAPT mutation patients included but also provides additional data implicating temporal lobe involvement in OC behaviors.     

A fixel‐based analysis of micro‐ and macro‐structural changes to white matter following adult traumatic brain injury

Diffusion tensor imaging is often used to assess white matter (WM) changes following traumatic brain injury (TBI), but is limited in voxels that contain multiple fibre tracts. Fixel‐based analysis (FBA) addresses this limitation by using a novel method of analysing high angular resolution diffusion‐weighted imaging (HARDI) data. FBA examines three aspects of each fibre tract within a voxel: tissue micro‐structure (fibre density [FD]), tissue macro‐structure (fibre‐bundle cross section [FC]) and a combined measure of both (FD and fibre‐bundle cross section [FDC]). This study used FBA to identify the location and extent of micro‐ and macro‐structural changes in WM following TBI. A large TBI sample (N_mild = 133, N_{moderate–severe} = 29) and control group (healthy and orthopaedic; N = 107) underwent magnetic resonance imaging with HARDI and completed reaction time tasks approximately 7 months after their injury (range: 98–338 days). The TBI group showed micro‐structural differences (lower FD) in the corpus callosum and forceps minor, compared to controls. Subgroup analyses revealed that the mild TBI group did not differ from controls on any fixel metric, but the moderate to severe TBI group had significantly lower FD, FC and FDC in multiple WM tracts, including the corpus callosum, cerebral peduncle, internal and external capsule. The moderate to severe TBI group also had significantly slower reaction times than controls, but the mild TBI group did not. Reaction time was not related to fixel findings. Thus, the WM damage caused by moderate to severe TBI manifested as fewer axons and a reduction in the cross‐sectional area of key WM tracts.     

The in vivo distribution of brain tissue loss in Richardson’s syndrome and PSP‐parkinsonism: a VBM‐DARTEL study

In this study, we wished to test, using magnetic resonance imaging and voxel‐based morphometry (VBM), whether specific cortical and subcortical patterns of brain grey (GM) and white matter (WM) tissue loss can be detected in patients with Richardson’s syndrome (PSP‐RS) and progressive supranuclear palsy‐parkinsonism (PSP‐P), and possibly account for their clinical heterogeneity. Twenty patients with PSP, classified as PSP‐RS (10 patients) or PSP‐P (10 patients), and 24 healthy controls were studied. The Statistical Parametric Mapping (SPM5) and the Diffeomorphic Anatomical Registration using Exponentiated Lie algebra method were used to perform a VBM analysis. Compared with controls, both patient groups showed GM loss in the central midbrain, cerebellar lobes, caudate nuclei, frontotemporal cortices and right hippocampus. WM loss was detected in both conditions in the midbrain, left superior cerebellar peduncle, internal capsulae, and left premotor and bilateral prefrontal regions. Compared with PSP‐P, patients with PSP‐RS showed additional regions of GM loss in the midbrain, left cerebellar lobe and dentate nuclei. PSP‐RS was also associated with a more severe WM loss in the midbrain, internal capsulae, and orbitofrontal, prefrontal and precentral/premotor regions, bilaterally. Patients with PSP‐P showed a more pronounced GM loss only in the frontal cortex, bilaterally. This study shows that, albeit the overall pattern of brain atrophy associated with PSP appears remarkably consistent across the spectrum of clinical features recorded in life, major anatomical differences between these two conditions do exist. Such a different topographical distribution of tissue damage may account for the clinical differences between PSP‐RS and PSP‐P.     

Voxel‐Based Morphometric Analysis in Hypothyroidism Using Diffeomorphic Anatomic Registration via an Exponentiated Lie Algebra Algorithm Approach

The present study aimed to investigate whether brain morphological differences exist between adult hypothyroid subjects and age‐matched controls using voxel‐based morphometry (VBM) with diffeomorphic anatomic registration via an exponentiated lie algebra algorithm (DARTEL) approach. High‐resolution structural magnetic resonance images were taken in ten healthy controls and ten hypothyroid subjects. The analysis was conducted using statistical parametric mapping. The VBM study revealed a reduction in grey matter volume in the left postcentral gyrus and cerebellum of hypothyroid subjects compared to controls. A significant reduction in white matter volume was also found in the cerebellum, right inferior and middle frontal gyrus, right precentral gyrus, right inferior occipital gyrus and right temporal gyrus of hypothyroid patients compared to healthy controls. Moreover, no meaningful cluster for greater grey or white matter volume was obtained in hypothyroid subjects compared to controls. Our study is the first VBM study of hypothyroidism in an adult population and suggests that, compared to controls, this disorder is associated with differences in brain morphology in areas corresponding to known functional deficits in attention, language, motor speed, visuospatial processing and memory in hypothyroidism.     

Resting‐state frontostriatal functional connectivity in Parkinson's disease–related apathy

One of the most common neuropsychiatric symptoms in Parkinson's disease (PD) is apathy, affecting between 23% and 70% of patients and thought to be related to frontostriatal dopamine deficits. In the current study, we assessed functional resting‐state frontostriatal connectivity and structural changes associated with the presence of apathy in a large sample of PD subjects and healthy controls, while controlling for the presence of comorbid depression and cognitive decline. Thirty‐one healthy controls (HC) and 62 age‐, sex‐, and education‐matched PD patients underwent resting‐state functional magnetic resonance imaging (MRI). Apathy symptoms were evaluated with the Apathy Scale (AS). The 11 Beck Depression Inventory‐II items that measure dysphoric mood symptoms as well as relevant neuropsychological scores were used as nuisance factors in connectivity analyses. Voxel‐wise analyses of functional connectivity between frontal lobes (limbic, executive, rostral motor, and caudal motor regions), striata (limbic, executive, sensorimotor regions), and thalami were performed. Subcortical volumetry/shape analysis and fronto‐subcortical voxel‐based morphometry were performed to assess associated structural changes. Twenty‐five PD patients were classified as apathetic (AS > 13). Apathetic PD patients showed functional connectivity reductions compared with HC and with non‐apathetic patients, mainly in left‐sided circuits, and predominantly involving limbic striatal and frontal territories. Similarly, severity of apathy negatively correlated with connectivity in these circuits. No significant effects were found in structural analyses. Our results indicate that the presence of apathy in PD is associated with functional connectivity reductions in frontostriatal circuits, predominating in the left hemisphere and mainly involving its limbic components. © 2015 International Parkinson and Movement Disorder Society     

Voxel‐wise meta‐analysis of gray matter abnormalities in idiopathic Parkinson’s disease

Structural neuroimaging studies on idiopathic Parkinson’s disease (IPD) with voxel‐based morphometry (VBM) yielded variable and conflicting findings. A systematic review of VBM studies of patients with IPD and healthy control (HC) subjects published in PubMed, ISI Web of Science, Embase, and Medline databases from 1995 to 25 October 2010 was conducted. Coordinates were extracted from clusters of significant gray matter (GM) difference between patients with IPD and HC subjects. Meta‐analysis was performed using signed differential mapping. A total of 17 VBM studies involving 498 patients with IPD and 375 HC subjects met the inclusion criteria. A significant regional GM volume decrease was detected in the left inferior frontal gyrus (BA47) extending to the left superior temporal gyrus (BA38) and the left insula (BA13) of patients with IPD compared with HC subjects. The findings of this study remain largely unchanged in quartile and jackknife sensitivity analyses and in subgroup analyses. Robust GM reductions in the inferior frontal/orbitofrontal gyrus (BA47) are implicated in IPD, and the reductions may be related to the mediation of the non‐motor IPD symptoms, such as cognitive, emotional, and autonomic functions. Further studies must be conducted to determine whether the findings are specific to all IPD subtypes or different from the atypical Parkinsonism.     

Neuroanatomical correlates of attention‐deficit–hyperactivity disorder accounting for comorbid oppositional defiant disorder and conduct disorder

Aim: An increasing number of neuroimaging studies have been conducted to uncover the pathophysiology of attention‐deficit–hyperactivity disorder (ADHD). The findings are inconsistent, however, at least partially due to methodological differences. In the present study voxel‐based morphometry (VBM) was used to evaluate brain morphology in ADHD subjects after taking into account the confounding effect of oppositional defiant disorder (ODD) and conduct disorder (CD) comorbidity. Methods: Eighteen children with ADHD and 17 age‐ and gender‐matched typically developing subjects underwent high‐spatial resolution magnetic resonance imaging. The regional gray matter volume differences between the children with ADHD and controls were examined with and without accounting for comorbid ODD and CD in a voxel‐by‐voxel manner throughout the entire brain. Results: The VBM indicated significantly smaller regional gray matter volume in regions including the bilateral temporal polar and occipital cortices and the left amygdala in subjects with ADHD compared with controls. Significantly smaller regional gray matter volumes were demonstrated in more extensive regions including the bilateral temporal polar cortices, bilateral amygdala, right occipital cortex, right superior temporal sulcus, and left middle frontal gyrus after controlling for the confounding effect of comorbid ODD and CD. Conclusion: Morphological abnormalities in ADHD were seen not only in the regions associated with executive functioning but also in the regions associated with social cognition. When the effect of comorbid CD and ODD was taken into account, there were more extensive regions with significantly smaller volume in ADHD compared to controls.     

Diagnostic value of brain MRI and 18F‐FDG PET in the differentiation of parkinsonian type multiple system atrophy from Parkinson’s disease

Background and purpose: Differentiation between parkinsonian type multiple system atrophy (MSA‐P) and Parkinson’s disease (PD) is important but often difficult. We investigated the diagnostic value of brain magnetic resonance imaging (MRI) and ¹⁸F‐fluorodeoxyglucose positron emission tomography (¹⁸F‐FDG PET) in differentiating MSA‐P from PD. Methods: Twenty‐four patients with MSA‐P (16 probable and 8 possible) and eight patients with PD were included in this study. Results: For analysis using the putaminal findings, the sensitivities were 58.3% by visual analysis of brain MRI, 95.8% by visual analysis of ¹⁸F‐FDG PET, and 79.2% by statistical parametric mapping (SPM) analysis of ¹⁸F‐FDG PET in differentiating MSA‐P from PD; the specificity was 100% for each analysis. Using the putaminal findings, visual analysis of ¹⁸F‐FDG PET had a higher sensitivity compared with brain MRI (P = 0.004) and SPM analysis of ¹⁸F‐FDG PET revealed a tendency towards higher sensitivity compared with brain MRI (P = 0.063). For analysis using both putaminal and infratentorial findings, the sensitivities were 79.2% by visual analysis of brain MRI, 95.8% by visual analysis of ¹⁸F‐FDG PET, 95.8% by SPM analysis of ¹⁸F‐FDG PET in differentiating MSA‐P from PD; the specificity was 100% for each analysis. Conclusion: Both brain MRI and ¹⁸F‐FDG PET showed diagnostic usefulness in differentiating MSA‐P from PD, with ¹⁸F‐FDG PET being more sensitive than brain MRI.