scholarly journals 9 Aberrant striatal value representation in Huntington’s disease gene carriers 25 years before onset

2020 ◽  
Vol 91 (8) ◽  
pp. e4.1-e4
Author(s):  
Akshay Nair ◽  
Eileanoir B Johnson ◽  
Sarah Gregory ◽  
Katherine Osborne-Crowley ◽  
Paul Zeun ◽  
...  

AimsHuntington’s disease (HD) is a devastating genetic neurodegenerative condition typically manifesting clinically in the fourth or fifth decade. With the advent of genetic therapies there is increased need to identify the earliest changes associated with carrying the HD gene. In this study we sought to determine the earliest functional imaging differences between HD gene carriers and matched controls. Based on previous work, we hypothesised that as compared to controls, HD gene carriers decades from onset would show a neural ‘reward bias’ – an exaggerated striatal response to gains as compared to losses.MethodsWe recruited 35 HD gene carriers, estimated to be on average 26 years from motor onset, and 35 controls. Groups were well matched for age, gender and education level.Participants completed a reinforcement learning task in a fMRI scanner using a sequence optimised for orbitofrontal and striatal signal. In this task participants were required to learn to choose between stimuli with the aim of maximise rewards and avoiding losses. Task behaviour was modelled using a computational model and computational variables from the best fitting model was used to probe fMRI data.ResultsAs hypothesised, we found that, in comparison to matched controls, gene carriers over 25 years from motor onset showed exaggerated striatal responses to gain as compared to loss predicting stimuli (p=0.003) in a reinforcement learning task. Using computational analysis, we also found group differences in striatal representation of stimulus value (p=0.0007).ConclusionThese represent the earliest functional imaging differences between HD gene carriers and controls. Behaviourally gene carriers, 9 years from predicted onset, have shown enhanced learning from gains as compared to losses. Importantly, we found no group differences in behaviour, or caudate volumes. Our data suggests a therapeutic window exists whereby HD- related functional neural changes are detectable 25 years before predicted onset.

2021 ◽  
Author(s):  
Paul Zeun ◽  
Peter McColgan ◽  
Thijs Dhollander ◽  
Sarah Gregory ◽  
Eileanoir B Johnson ◽  
...  

AbstractObjectivesTo investigate the timeframe prior to symptom onset when cortico-basal ganglia white matter (WM) loss begins in premanifest Huntington’s disease (preHD), and which striatal and thalamic sub-region WM tracts are most vulnerable.MethodsWe performed fixel-based analysis, which allows resolution of crossing WM fibres at the voxel level, on diffusion tractography derived WM tracts of striatal and thalamic sub-regions in two independent cohorts; TrackON-HD, which included 72 preHD (approx. 11 years before disease onset) and 85 controls imaged at three time points over two years; and the HD young adult study (HD-YAS), which included 54 preHD (approx. 25 years before disease onset) and 53 controls, imaged at one time point. Group differences in fibre density and cross section (FDC) were investigated.ResultsWe found no significant group differences in cortico-basal ganglia sub-region FDC in preHD gene carriers 25 years before onset. In gene carriers 11 years before onset, there were reductions in striatal (limbic and caudal motor) and thalamic (premotor, motor and sensory) FDC at baseline, with no significant change over 2 years. Caudal motor-striatal, pre-motor-thalamic, and primary motor-thalamic FDC at baseline, showed significant correlations with the Unified Huntington’s disease rating scale (UHDRS) total motor score (TMS). Limbic cortico-striatal FDC and apathy were also significantly correlated.ConclusionsOur findings suggest that the initiation of disease modifying therapies 25 years before onset could protect these important brain networks from undergoing neurodegeneration and highlight selectively vulnerable sub-regions of the striatum and thalamus that may be important targets for future therapies.


2020 ◽  
Vol 21 (22) ◽  
pp. 8474
Author(s):  
Gabriela Delevati Colpo ◽  
Natalia Pessoa Rocha ◽  
Erin Furr Stimming ◽  
Antonio Lucio Teixeira

Huntington’s disease (HD) is an inherited neurodegenerative disease. Besides the well-characterized motor symptoms, HD is marked by cognitive impairment and behavioral changes. In this study, we analyzed the blood of HD gene carries using RNA-sequencing techniques. We evaluated samples from HD gene carriers with (n = 8) and without clinically meaningful depressive symptoms (n = 8) compared with healthy controls (n = 8). Groups were age- and sex-matched. Preprocessing of data and between-group comparisons were calculated using DESeq2. The Wald test was used to generate p-values and log2 fold changes. We found 60 genes differently expressed in HD and healthy controls, of which 21 were upregulated and 39 downregulated. Within HD group, nineteen genes were differently expressed between patients with and without depression, being 6 upregulated and 13 downregulated. Several of the top differentially expressed genes are involved in nervous system development. Although preliminary, our findings corroborate the emerging view that in addition to neurodegenerative mechanisms, HD has a neurodevelopmental component. Importantly, the emergence of depression in HD might be related to these mechanisms.


2019 ◽  
Vol 39 (5) ◽  
pp. 331-341 ◽  
Author(s):  
Mitsuaki Hirano ◽  
Shuji Iritani ◽  
Hiroshige Fujishiro ◽  
Youta Torii ◽  
Chikako Habuchi ◽  
...  

2014 ◽  
Vol 85 (Suppl 1) ◽  
pp. A1-A2 ◽  
Author(s):  
L. Jones ◽  
J. Gusella ◽  
M. MacDonald ◽  
V. Wheeler ◽  
J.-M. Lee ◽  
...  

2012 ◽  
Vol 1 (1) ◽  
pp. 97-106 ◽  
Author(s):  
Eve M. Dumas ◽  
Miranda J. Say ◽  
Rebecca Jones ◽  
Izelle Labuschagne ◽  
Alison M. O'Regan ◽  
...  

2016 ◽  
Vol 368 ◽  
pp. 243-248 ◽  
Author(s):  
Heather Wilson ◽  
Flavia Niccolini ◽  
Salman Haider ◽  
Tiago Reis Marques ◽  
Gennaro Pagano ◽  
...  

2007 ◽  
Vol 19 (4) ◽  
pp. 441-448 ◽  
Author(s):  
E. van Duijn ◽  
E.M. Kingma ◽  
R.C. van der Mast

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