Em Rees

Evaluation of multi-modal, multi-site neuroimaging measures in Huntington's disease: Baseline results from the PADDINGTON study

Background Macro- and micro-structural neuroimaging measures provide valuable information on the pathophysiology of Huntingtons disease (HD) and are proposed as biomarkers. Despite theoretical advantages of microstructural measures in terms of sensitivity to pathology, there is little evidence directly comparing the two. Methods 40 controls and 61 early HD subjects underwent 3 T MRI (T1- and diffusion-weighted), as part of the PADDINGTON study. Macrostructural volumetrics were obtained for the whole brain, caudate, putamen, corpus callosum (CC) and ventricles. Microstructural diffusion metrics of fractional anisotropy (FA), mean-, radial- and axial-diffusivity (MD, RD, AD) were computed for white matter (WM), CC, caudate and putamen. Group differences were examined adjusting for age, gender and site. A formal comparison of effect sizes determined which modality and metrics provided a statistically significant advantage over others. Results Macrostructural measures showed decreased regional and global volume in HD (p < 0.001); except the ventricles which were enlarged (p < 0.01). In HD, FA was increased in the deep grey-matter structures (p < 0.001), and decreased in the WM (CC, p = 0.035; WM, p = 0.053); diffusivity metrics (MD, RD, AD) were increased for all brain regions (p < 0.001). The largest effect sizes were for putamen volume, caudate volume and putamen diffusivity (AD, RD and MD); each was significantly larger than those for all other metrics (p < 0.05). Conclusion The highest performing macro- and micro-structural metrics had similar sensitivity to HD pathology quantified via effect sizes. Region-of-interest may be more important than imaging modality, with deep grey-matter regions outperforming the CC and global measures, for both volume and diffusivity. FA appears to be relatively insensitive to disease effects.

Cerebellar abnormalities in Huntington's disease: A role in motor and psychiatric impairment?

The cerebellum has received limited attention in Huntingtons disease (HD), despite signs of possible cerebellar dysfunction, including motor incoordination and impaired gait, which are currently attributed to basal ganglia atrophy and disrupted fronto‐striatal circuits. This study is the first to investigate a potential contribution of macro‐ and microstructural cerebellar damage to clinical manifestations of HD. T1‐ and diffusion‐weighted 3T magnetic resonance imaging (MRI) scans were obtained from 12 controls and 22 early‐stage HD participants. Manual delineation and voxel‐based morphometry were used to assess between‐group differences in cerebellar volume, and diffusion metrics were compared between groups within the cerebellar gray and white matter. Associations between these imaging measures and clinical scores were examined within the HD group. Reduced paravermal volume was detected in HD compared with controls using voxel‐based morphometry (P < 0.05), but no significant volumetric differences were found using manual delineation. Diffusion abnormalities were detected in both cerebellar gray matter and white matter. Smaller cerebellar volumes, although not significantly reduced, were significantly associated with impaired gait and psychiatric morbidity and of borderline significance with pronate/supinate‐hand task performance. Abnormal cerebellar diffusion was associated with increased total motor score, impaired saccade initiation, tandem walking, and timed finger tapping. In conclusion, atrophy of the paravermis, possibly encompassing the cerebellar nuclei, and microstructural abnormalities within the cerebellum may contribute to HD neuropathology. Aberrant cerebellar diffusion and reduced cerebellar volume together associate with impaired motor function and increased psychiatric symptoms in stage I HD, potentially implicating the cerebellum more centrally in HD presentation than previously recognized.

The impact of occipital lobe cortical thickness on cognitive task performance: An investigation in Huntington's Disease.

BACKGROUND The occipital lobe is an important visual processing region of the brain. Following consistent findings of early neural changes in the occipital lobe in Huntingtons Disease (HD), we examined cortical thickness across four occipital regions in premanifest (preHD) and early HD groups compared with controls. Associations between cortical thickness in gene positive individuals and performance on six cognitive tasks, each with a visual component, were examined. In addition, the association between cortical thickness in gene positive participants and one non-visual motor task was also examined for comparison. METHODS Cortical thickness was determined using FreeSurfer on T1-weighted 3T MR datasets from controls (N=97), preHD (N=109) and HD (N=69) from the TRACK-HD study. Regression models were fitted to assess between-group differences in cortical thickness, and relationships between performance on the cognitive tasks, the motor task and occipital thickness were examined in a subset of gene-positive participants (N=141). RESULTS Thickness of the occipital cortex in preHD and early HD participants was reduced compared with controls. Regionally-specific associations between reduced cortical thickness and poorer performance were found for five of the six cognitive tasks, with the strongest associations in lateral occipital and lingual regions. No associations were found with the cuneus. The non-visual motor task was not associated with thickness of any region. CONCLUSIONS The heterogeneous pattern of associations found in the present study suggests that occipital thickness negatively impacts cognition, but only in regions that are linked to relatively advanced visual processing (e.g., lateral occipital, lingual regions), rather than in basic visual processing regions such as the cuneus. Our results show, for the first time, the functional implications of occipital atrophy highlighted in recent studies in HD.

Longitudinal diffusion tensor imaging shows progressive changes in white matter in Huntington’s disease

BACKGROUND Huntingtons disease is marked by progressive neuroanatomical changes, assumed to underlie the development of the diseases characteristic symptoms. Previous work has demonstrated longitudinal macrostructural white-matter atrophy, with some evidence of microstructural change focused in the corpus callosum. OBJECTIVE To more accurately characterise longitudinal patterns, we examined white matter microstructural change using Diffusion Tensor Imaging (DTI) data from three timepoints over a 15 month period. METHODS In 48 early-stage HD patients and 36 controls from the multi-site PADDINGTON project, diffusion tensor imaging (DTI) was employed to measure changes in fractional anisotropy (FA) and axial (AD) and radial diffusivity (RD) in 24 white matter regions-of-interest (ROIs). RESULTS Cross-sectional analysis indicated widespread baseline between-group differences, with significantly decreased FA and increased AD and RD found in HD patients across multiple ROIs. Longitudinal rates of change differed significantly between HD patients and controls in the genu and body of corpus callosum, corona radiata and anterior limb of internal capsule. Change in RD in the body of the corpus callosum was significantly associated with baseline disease burden, but other clinical associations were not significant. CONCLUSIONS We detected subtle longitudinal white matter changes in early HD patients. Progressive white matter abnormalities in HD may not be uniform throughout the brain, with some areas remaining static in the early symptomatic phase. Longer assessment periods across disease stages will help map this progressive trajectory.

Longitudinal neuroimaging biomarkers in Huntington's Disease.

Identifying markers able to characterise the progression of Huntingtons Disease (HD) is of great importance to the HD research community, as such markers may provide valuable outcome measures in future clinical trials. Neuroimaging measures are obvious candidates because of their clear relevance to the neuropathology of the disease. Many also show improved precision and sensitivity compared with standard functional scales. This review summarizes findings from the wealth of longitudinal imaging studies in the literature, focusing on the most widely available imaging modalities: structural MRI (volumetric and diffusion imaging), functional MRI and PET. We discuss the longitudinal sensitivity, reproducibility and feasibility of each imaging modality for use in clinical trials.

Inconsistent emotion recognition Deficits across stimulus Modalities in Huntington's disease.

BACKGROUND Recognition of negative emotions is impaired in Huntington׳s Disease (HD). It is unclear whether these emotion-specific problems are driven by dissociable cognitive deficits, emotion complexity, test cue difficulty, or visuoperceptual impairments. This study set out to further characterise emotion recognition in HD by comparing patterns of deficits across stimulus modalities; notably including for the first time in HD, the more ecologically and clinically relevant modality of film clips portraying dynamic facial expressions. METHODS Fifteen early HD and 17 control participants were tested on emotion recognition from static facial photographs, non-verbal vocal expressions and one second dynamic film clips, all depicting different emotions. RESULTS Statistically significant evidence of impairment of anger, disgust and fear recognition was seen in HD participants compared with healthy controls across multiple stimulus modalities. The extent of the impairment, as measured by the difference in the number of errors made between HD participants and controls, differed according to the combination of emotion and modality (p=0.013, interaction test). The largest between-group difference was seen in the recognition of anger from film clips. CONCLUSIONS Consistent with previous reports, anger, disgust and fear were the most poorly recognised emotions by the HD group. This impairment did not appear to be due to task demands or expression complexity as the pattern of between-group differences did not correspond to the pattern of errors made by either group; implicating emotion-specific cognitive processing pathology. There was however evidence that the extent of emotion recognition deficits significantly differed between stimulus modalities. The implications in terms of designing future tests of emotion recognition and care giving are discussed.

Short-interval observational data to inform clinical trial design in Huntington's disease

Objectives To evaluate candidate outcomes for disease-modifying trials in Huntingtons disease (HD) over 6-month, 9-month and 15-month intervals, across multiple domains. To present guidelines on rapid efficacy readouts for disease-modifying trials. Methods 40 controls and 61 patients with HD, recruited from four EU sites, underwent 3 T MRI and standard clinical and cognitive assessments at baseline, 6 and 15 months. Neuroimaging analysis included global and regional change in macrostructure (atrophy and cortical thinning), and microstructure (diffusion metrics). The main outcome was longitudinal effect size (ES) for each outcome. Such ESs can be used to calculate sample-size requirements for clinical trials for hypothesised treatment efficacies. Results Longitudinal changes in macrostructural neuroimaging measures such as caudate atrophy and ventricular expansion were significantly larger in HD than controls, giving rise to consistently large ES over the 6-month, 9-month and 15-month intervals. Analogous ESs for cortical metrics were smaller with wide CIs. Microstructural (diffusion) neuroimaging metrics ESs were also typically smaller over the shorter intervals, although caudate diffusivity metrics performed strongly over 9 and 15 months. Clinical and cognitive outcomes exhibited small longitudinal ESs, particularly over 6-month and 9-month intervals, with wide CIs, indicating a lack of precision. Conclusions To exploit the potential power of specific neuroimaging measures such as caudate atrophy in disease-modifying trials, we propose their use as (1) initial short-term readouts in early phase/proof-of-concept studies over 6 or 9 months, and (2) secondary end points in efficacy studies over longer periods such as 15 months.

Test-Retest Reliability of Diffusion Tensor Imaging in Huntington's Disease.

Diffusion tensor imaging (DTI) has shown microstructural abnormalities in patients with Huntington’s Disease (HD) and work is underway to characterise how these abnormalities change with disease progression. Using methods that will be applied in longitudinal research, we sought to establish the reliability of DTI in early HD patients and controls. Test-retest reliability, quantified using the intraclass correlation coefficient (ICC), was assessed using region-of-interest (ROI)-based white matter atlas and voxelwise approaches on repeat scan data from 22 participants (10 early HD, 12 controls). T1 data was used to generate further ROIs for analysis in a reduced sample of 18 participants. The results suggest that fractional anisotropy (FA) and other diffusivity metrics are generally highly reliable, with ICCs indicating considerably lower within-subject compared to between-subject variability in both HD patients and controls. Where ICC was low, particularly for the diffusivity measures in the caudate and putamen, this was partly influenced by outliers. The analysis suggests that the specific DTI methods used here are appropriate for cross-sectional research in HD, and give confidence that they can also be applied longitudinally, although this requires further investigation. An important caveat for DTI studies is that test-retest reliability may not be evenly distributed throughout the brain whereby highly anisotropic white matter regions tended to show lower relative within-subject variability than other white or grey matter regions.

G01 Evaluation of multi-modal, multi-site imaging measures in Huntington's disease: baseline results from the PADDINGTON study

Background Macro- and micro-structural brain changes are of interest as markers of Huntingtons Disease (HD) progression, which may prove useful in future clinical trials. The relative sensitivity of these markers is unknown. Aims To evaluate macro-structural volume measurements and micro-structural diffusion measurements in HD. Methods 40 controls and 61 early stage HD subjects, recruited across four EU sites, underwent 3T MRI plus a clinical and cognitive battery. Volumetric measurements of the whole brain, caudate, putamen, corpus callosum and ventricles were performed using MIDAS. Diffusion metrics of fractional anisotropy (FA), mean- radial- and axial-diffusivity (MD, RD and AD) were computed over the white matter, corpus callosum, caudate and putamen. Group differences were examined adjusting for age, gender and site. Results Compared with controls, HD subjects showed strong evidence of reduced volume in all brain regions examined (p<0.001), except for the ventricles which were enlarged (p<0.01). The largest volumetric effect sizes were for the putamen (−2.405, 95% CI −2.942 to −1.753) and caudate (−2.346, 95% CI −2.956 to −1.576). All diffusion metrics showed significant differences between controls and HD (p<0.05), with the exception of white-matter FA (p=0.053). The largest diffusion effect sizes were seen in the caudate and putamen diffusivity metrics; putamen AD showed an effect size of 1.882 (95% CI 1.396 to 2.178). Effect sizes tended to be smaller for diffusion metrics than the corresponding volumetrics. A statistical analysis of these differences will be presented. Conclusion Both volumetric and diffusion metrics are sensitive to disease effects in HD. Robust statistical comparison of effect sizes for these measures will help inform the design of future clinical trials. Funding This work has been supported by the European Union – PADDINGTON project, contract n. HEALTH-F2-2010-261358.

G03 Corpus callosal atrophy in Huntington's disease

Background Research into Huntingtons disease (HD) has revealed white-matter loss in individuals more than 10 years prior to predicted disease onset, focused around the striatum, corpus callosum (CC) and posterior white-matter tracts. Degeneration of the CC is of interest since it provides interhemispheric connections to cortical areas known to be affected in HD. Aims This study aims to investigate the utility of volumetric measurements of the CC in HD using a novel segmentation technique, multiple time-points and a large well-characterised cohort. Structure-function relationship in the CC will also be explored. Methods Volumetric 3T MRI from controls, premanifest gene carriers and early HD subjects enrolled in the TRACK-HD study will be analysed at baseline and 24 months. The CC will be delineated using a semi-automated segmentation protocol. Differences in baseline volumes and atrophy rates between groups will be examined, as well as correlations between volume loss and clinical impairment. Results Preliminary analysis of a subset of subjects indicates that early HD subjects have reduced CC volume compared with controls and premanifest subjects (p<0.001). Increased longitudinal CC volume change was found in early HD subjects, compared with controls (p<0.001). Interestingly there was significant difference in longitudinal change between controls and premanifest subjects close to disease onset (p<0.05). This work will be extended to include multi-site data and correlations between atrophy and clinical and cognitive decline. Conclusions Measurement of CC atrophy may have potential as an imaging biomarker for HD and may prove useful for exploring interhemispheric structure-function relationships. Funding Helen Crawford is supported by the CHDI Foundation, a not for profit organisation dedicated to finding treatments for HD.