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Apathy, a prevalent feature in neurological disorders including Huntington's disease (HD), is characterized by a reduction in goal-directed behavior across cognitive, auto-activation (i.e., self-activating thoughts/behavior), and emotional domains. Nonetheless, current diagnostic criteria are incapable of distinguishing multidimensional apathy profiles. Meanwhile, the short-Lille Apathy Rating Scale (LARS-s) bears potential as an operative diagnostic tool to disentangle apathy dimensions in clinical practice. The present study thereby examines the psychometric properties and factor structure of the LARS-s to tap into apathy profiles and their underlying neural correlates in HD.Forty HD individuals were scanned and evaluated for apathy using the LARS-s, assessed for reliability and validity in HD, and the short-Problem Behavior Assessment (PBA-s). To study the dimensional structure of apathy, principal component analysis (PCA) of the LARS-s was implemented. Resulting factors were associated with gray matter volume through whole-brain voxel-based morphometry.The LARS-s demonstrated satisfactory psychometric properties, sharing convergent validity with PBA-s apathy and discriminant validity against depression. PCA resulted in three factors representative of apathy profiles across cognitive, auto-activation, and emotional domains. Anatomically, global apathy was significantly related with large-scale motor, cognitive, and limbic networks. Exploratory analyses of apathy profiles revealed correspondence between each factor and distinct cortical and subcortical nodes.The LARS-s is capable of capturing the multidimensional spectrum of apathy. At the same time, apathy profiles in HD are underpinned by functionally diverse neural networks. Such findings promote the continued study of apathy domains to pinpoint personalized therapeutic targets in neurologic disorders in addition to HD.

Background HD is a suitable model to monitor the whole neurodegeneration process. Huntington’s disease (HD) affects primarily the striatum, but loss of white matter (WM) integrity and iron homeostasis disruption have been also described. These anomalies together with metabolite profiles could unveil the pathophysiologic mechanisms involved. Aims To assess the temporal and spatial progression of neurodegeneration on both anterior thalamic radiations (ATR). Methods Thirty-one HD gene carriers and twenty-four controls underwent neuropsychological evaluation and were scanned at 3T-MRI unit. A multimodal study was conducted to measure relaxometry, diffusivity and spectroscopy as proxies of iron, WM microstructure and metabolite composition, respectively. Three statistical approaches (average, segmental, along-the-tract) were performed, with MANOVA and post-hoc Tukey test to evaluate differences among groups and Pearson test to assess correlations. Results ATR disintegration began in premanifest individuals and progressed in extent and severity in manifest patients. WM damage was more extensive in the right ATR that could translate a higher vulnerability and showed a spatial gradient from subcortical to deep WM in favour of the dying-back hypothesis. Iron was increased in the left ATR in premanifest individuals that might uncover a dysregulated myelination or an abnormal ferritin accumulation. NAA and creatine decreased exclusively in manifest patients suggesting neuronal loss and mitochondrial dysfunction. Furthermore, imaging parameters could be used as biomarkers given their links with clinical scores. Conclusions The complex neurodegeneration pattern of ATR in HD can help to understand the pathophysiological mechanisms underlying HD progression. The multimodal approach and along-the-tract analysis allow for a more comprehensive evaluation of neurodegeneration.

Background Apathy, a common neuropsychiatric disturbance in Huntington's disease (HD), is subserved by a complex neurobiological network. However, no study has yet employed a whole-brain approach to examine underlying regional vulnerabilities that may precipitate apathy changes over time. Objectives To identify whole-brain gray matter volume (GMV) vulnerabilities that may predict longitudinal apathy development in HD. Methods Forty-five HD individuals (31 female) were scanned and evaluated for apathy and other neuropsychiatric features using the short-Problem Behavior Assessment for a maximum total of six longitudinal visits (including baseline). In order to identify regions where changes in GMV may describe changes in apathy, we performed longitudinal voxel-based morphometry (VBM) on those 33 participants with a magnetic resonance imaging (MRI) scan on their second visit at 18 +/- 6 months follow-up (78 MRI datasets). We next employed a generalized linear mixed-effects model (N = 45) to elucidate whether initial and specific GMV may predict apathy development over time. Results Utilizing longitudinal VBM, we revealed a relationship between increases in apathy and specific GMV atrophy in the right middle cingulate cortex (MCC). Furthermore, vulnerability in the right MCC volume at baseline successfully predicted the severity and progression of apathy over time. Conclusions This study highlights that individual differences in apathy in HD may be explained by variability in atrophy and initial vulnerabilities in the right MCC, a region implicated in action-initiation. These findings thus serve to facilitate the prediction of an apathetic profile, permitting targeted, time-sensitive interventions in neurodegenerative disease with potential implications in otherwise healthy populations. (c) 2021 International Parkinson and Movement Disorder Society

Background: Apathy is the neuropsychiatric syndrome that correlates most highly with Huntington's disease progression, and, like early patterns of neurodegeneration, is associated with lesions to cortico-striatal connections. However, due to its multidimensional nature and elusive etiology, treatment options are limited. Objectives: To disentangle underlying white matter microstructural correlates across the apathy spectrum in Huntington's disease. Methods: Forty-six Huntington's disease individuals (premanifest (N = 22) and manifest (N = 24)) and 35 healthy controls were scanned at 3-tesla and underwent apathy evaluation using the short-Problem Behavior Assessment and short-Lille Apathy Rating Scale, with the latter being characterized into three apathy domains, namely emotional, cognitive, and auto-activation deficit. Diffusion tensor imaging was used to study whether individual differences in specific cortico-striatal tracts predicted global apathy and its subdomains. Results: We elucidate that apathy profiles may develop along differential timelines, with the auto-activation deficit domain manifesting prior to motor onset. Furthermore, diffusion tensor imaging revealed that inter-individual variability in the disruption of discrete cortico-striatal tracts might explain the heterogeneous severity of apathy profiles. Specifically, higher levels of auto-activation deficit symptoms significantly correlated with increased mean diffusivity in the right uncinate fasciculus. Conversely, those with severe cognitive apathy demonstrated increased mean diffusivity in the right frontostriatal tract and left dorsolateral prefrontal cortex to caudate nucleus tract. Conclusions: The current study provides evidence that white matter correlates associated with emotional, cognitive, and auto-activation subtypes may elucidate the heterogeneous nature of apathy in Huntington's disease, as such opening a door for individualized pharmacological management of apathy as a multidimensional syndrome in other neurodegenerative disorders. Keywords: Apathy, Diffusion MRI, Huntington's disease, Individual differences, Neurodegeneration, White matter microstructure

A cognitive stimulating lifestyle has been observed to confer cognitive benefits in multiple neurodegenerative diseases. However, the underlying neurobiological basis of this phenomenon remains unclear. Huntington's disease can provide a suitable model to study the effects and neural mechanisms of cognitive engagement in neurodegeneration. In this study, we investigate the effect of lifestyle factors such as education, occupation and engagement in cognitive activities in Huntington's disease gene carriers on cognitive performance and age of onset as well as the underlying neural changes sustaining these effects, measured by magnetic resonance imaging. Specifically, we analyzed both gray matter volume and the strength of connectivity of the executive control resting-state network. High levels of cognitive engagement were significantly associated with more preserved executive functions, a delay in the appearance of symptoms, reduced volume loss of the left precuneus and the bilateral caudate and a modulation of connectivity strength of anterior cingulate cortex and left angular gyrus with the executive control network. These findings suggest that a cognitively stimulating lifestyle may promote brain maintenance by modulating the executive control resting-state network and conferring protection against neurodegeneration, which results in a delayed onset of symptoms and improved performance in executive functions.

Background Impulsivity in Huntington’s disease (HD) patients has been understudied despite its clear impact in daily life. Although it is known that there are different types of impulsivity, this trait has been mainly studied through impulsive actions in cued go/no-go tasks that contain an important motor component, while the more purely emotional/choice component of impulsivity in HD remains unknown. Objective To study the neurobiological basis that characterise individual differences in emotional impulsivity in HD. Methods Thirty-one controls and 32 HD patients (11 of which were pre-symptomatic) were scanned using diffusion tensor imaging (DTI) to study the relationship between the structural connectivity of the uncinate fasciculus (UF), the main tract involved in the motivational circuit, and the impulsivity trait (k), evaluated with a delay discounting task. Results No significant difference was observed in k between the two groups. In controls, k correlated with both right and left UF, whereas in HD patients, k correlated only with the left UF. On the other hand, only the right UF was found to be affected in HD patients compared with controls. Conclusion This study reveals that HD patients do not differ from controls in the impulse behaviour associated with delay discounting choices. Moreover, the connectivity pattern observed in HD patients and controls is consistent with previous studies that show that individual differences in microstructure integrity of the left UF are related to impulsivity levels in delay discounting tasks.

Background Although age of onset of Huntington’s disease (HD) is mainly determined by the size of the CAG repeat expansion, other factors may play a role. One potential factor is Cognitive Reserve (CR), as it has been shown in other neurodegenerative disorders and ageing. Objective The objective of this study is to investigate the effect of CR on age of onset in HD and to examine the neural bases underlying the individual differences in executive function that could be due to the effects of CR in HD. Methods Thirty-one HD patients completed a CR questionnaire and were scanned using functional magnetic resonance imaging. We analysed the Resting State Executive Control Network (RS-ECN), a novel approach to study the brain areas underlying executive function. The strength of connectivity with this network was calculated voxel-wise. The difference between the theoeretical and estimated age of onset (26 symptomatic-HD) was calculated for each patient. Results Our results revealed that high levels of CR significantly delayed the appearance of clinical symptoms. Functional connectivity and morphometry analysis showed a brain reorganisation modulated by CR, which changed the connectivity strength in the anterior cingulate cortex, in the left superior parietal cortex (SPC) and slowed the volume loss in the bilateral precuneus and the bilateral caudate. Furthermore, higher strength of connectivity in the left SPC was related to better performance in cognitive flexibility (TMT B-A) and working memory (Backward Digits Span) tasks. Conclusions These findings provide converging evidence that CR might act as a protective mechanism for the progression of the disease, delaying the onset of symptoms and improving the performance in executive functions by modulating the RS-ECN and slowing brain atrophy.

Introduction Huntington’s disease (HD) is a neurodegenerative disorder that induces striatal and cortical neuronal dysfunction and loss which main symptom is motor impairment. Goals to study whether this motor impairment is accompanied by changes in brain activity and functional connectivity. Methods Fifteen early stage HD patients with a UHDRS motor score > 5 (9 men, mean age = 48 ± 8.9, mean TFC = 11.7 ± 1.17) and 15 controls (9 men, mean age = 46.6 ± 8.1) matched in age, gender and educational background underwent 3T structural and functional MRI scanning while they performed a sequential tapping task with their right or left hand in alternated blocks. Results Compared to rest blocks, active tapping activated the contralateral primary motor, premotor and supplementary motor areas, thalamus and cerebellum in both patients and controls. However, in the right hand condition, patients deactivated the right putamen to a greater extent than controls, which suggests that patients need a greater inhibition of the ipsilateral putamen in order to suppress the movement of the opposite hand. Furthermore, HD patients showed less activation in the right putamen during the left hand condition compared to controls. These effects could be ascribed to the general imbalance in the Go and No-Go cortico-striatal pathways that is believed to occur in HD. The left precentral gyrus, was selected as a seed region for a whole brain functional connectivity analysis. Compared with controls, right precentral gyrus, right SMA and right putamen were more connected (negatively) to the left precentral gyrus in patients. This indicates that not only the right putamen, but all the right motor circuit undergoes a greater deactivation in HD patients when they move their left hand. In addition, the negative functional connectivity between the left precentral gyrus and the right putamen showed a positive correlation with the motor-UHDRS score and the TFC score. Conclusions These results indicate that HD patients need to inhibit the contralateral motor circuit of the moving hand to compensate for the hyperactivation of the dopaminergic system that underlies their motor symptoms. This effect is specific to the right hemisphere, showing an asymmetry of the motor circuit dysfunction.

Patients with Huntington Disease (HD) show poor self-awareness of a variety of symptoms. Previous research in HD has primarily examined awareness of motor symptoms, whereas less attention has been given to unawareness of cognitive function and behavioural disorders. This study aim to assess self-awareness of executive deficits in HD and to explore the association between impaired awareness, cognition (executive function and memory) and evolution of the disease. Self-awareness was tested in 17 patients with HD (8 male, age=50.5 ± 9.8 years) at early stage of the disease (mean TFC 11.7) by comparing patient and family ratings using the Dysexecutive Questionnaire (DEX) with five-factor factorial structure (Inhibition, Intentionality, executive memory, negative and positive affect). Executive and memory functions were assessed by different standardised neuropsychological tests included in cognitive protocol Registry 3. Finally, we extracted the volume of the different striatal substructures (left and right caudate, putamen and nucleus accumbens) as a neuroanatomical signature of disease progression in HD. Statistical analysis revealed a significant discrepancy between the DEX-Family and DEX-Patient specifically in the second factor of DEX (intentionality). This factor contains items about disinhibition, aggression, euphoria, lack of insight and social conscience. We also found that poor insight in this area measured by DEX is significantly and specifically related with the atrophy of the left caudate. None of the cognitive tests that were administrated showed significant correlation with unawareness. Our results are consistent with previous literature, indicating that patients with HD generally overestimate their abilities. This study shows that the awareness of dysexecutive function in HD is not a general and uniform process, but is specific to certain symptoms (predominantly behaviours related with intentionality and disinhibition) and suggests the involvement of specific neuroanatomical substrates for unawareness in HD.

Huntington's disease (HD) is a genetic neurodegenerative disease which involves a triad of motor, cognitive and psychiatric disturbances. However, there is great variability in the prominence of each type of symptom across individuals. The neurobiological basis of such variability remains poorly understood but would be crucial for better tailored treatments. Multivariate multimodal neuroimaging approaches have been successful in disentangling these profiles in other disorders. Thus we applied for the first time such approach to HD. We studied the relationship between HD symptom domains and multimodal measures sensitive to grey and white matter structural alterations. Forty-three HD gene carriers (23 manifest and 20 premanifest individuals) were scanned and underwent behavioural assessments evaluating motor, cognitive and psychiatric domains. We conducted a multimodal analysis integrating different structural neuroimaging modalities measuring grey matter volume, cortical thickness and white matter diffusion indices – fractional anisotropy and radial diffusivity. All neuroimaging measures were entered into a linked independent component analysis in order to obtain multimodal components reflecting common inter-subject variation across imaging modalities. The relationship between multimodal neuroimaging independent components and behavioural measures was analysed using multiple linear regression. We found that cognitive and motor symptoms shared a common neurobiological basis, whereas the psychiatric domain presented a differentiated neural signature. Behavioural measures of different symptom domains correlated with different neuroimaging components, both the brain regions involved and the neuroimaging modalities most prominently associated with each type of symptom showing differences. More severe cognitive and motor signs together were associated with a multimodal component consisting in a pattern of reduced grey matter, cortical thickness and white matter integrity in cognitive and motor related networks. In contrast, depressive symptoms were associated with a component mainly characterised by reduced cortical thickness pattern in limbic and paralimbic regions. In conclusion, using a multivariate multimodal approach we were able to disentangle the neurobiological substrates of two distinct symptom profiles in HD: one characterised by cognitive and motor features dissociated from a psychiatric profile. These results open a new view on a disease classically considered as a uniform entity and initiates a new avenue for further research considering these qualitative individual differences. Keywords: Linked ICA, Data fusion, Huntington's disease, Neurodegeneration, Clinical profiles, Structural MRI