Evidence map›Paper›PMID 33795209›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2021

Aberrant Striatal Value Representation in Huntington's Disease Gene Carriers 25 Years Before Onset.

Akshay Nair, Eileanoir B Johnson, Sarah Gregory, Katherine Osborne-Crowley, Paul Zeun, Rachael I Scahill, Jessica Lowe, Marina Papoutsi, Stefano Palminteri, Robb B Rutledge and 2 more

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Disordered Decision Making: A Cognitive Framework for Apathy and Impulsivity in Huntington's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Akshay NairHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Eileanoir B JohnsonHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Sarah GregoryHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Katherine Osborne-CrowleyHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Paul ZeunHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Rachael I ScahillHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Jessica LoweHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Marina PapoutsiHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Stefano PalminteriLaboratoire de Neurosciences Cognitives et Computationnelles, Institut National de la Santé et de la Recherche Médicale, Paris, France; Département d'Etudes Cognitives, Ecole Normale Supérieure, Paris, France; Université de Paris Sciences et Lettres, Paris, France.
Robb B RutledgeMax Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom; University College London Institute of Cognitive Neuroscience, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Geraint ReesUniversity College London Institute of Cognitive Neuroscience, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom.
Sarah J TabriziHuntington's Disease Centre, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom; Wellcome Centre for Human Neuroimaging, University College London Queen Square Institute of Neurology, University College London, London, United Kingdom. Electronic address: s.tabrizi@ucl.ac.uk.

Funding

Medical Research Council MR/N02401X/1Medical Research Council MR/P008747/1Wellcome TrustWellcome Trust 200181/Z/15/ZWellcome Trust 203147/Z/16/Z
6 · The paper itself

Abstract

backgroundIn this study, we asked whether differences in striatal activity during a reinforcement learning (RL) task with gain and loss domains could be one of the earliest functional imaging features associated with carrying the Huntington's disease (HD) gene. Based on previous work, we hypothesized that HD gene carriers would show either neural or behavioral asymmetry between gain and loss learning.

methodsWe recruited 35 HD gene carriers, expected to demonstrate onset of motor symptoms in an average of 26 years, and 35 well-matched gene-negative control subjects. Participants were placed in a functional magnetic resonance imaging scanner, where they completed an RL task in which they were required to learn to choose between abstract stimuli with the aim of gaining rewards and avoiding losses. Task behavior was modeled using an RL model, and variables from this model were used to probe functional magnetic resonance imaging data.

resultsIn comparison with well-matched control subjects, gene carriers more than 25 years from motor onset showed exaggerated striatal responses to gain-predicting stimuli compared with loss-predicting stimuli (p = .002) in our RL task. Using computational analysis, we also found group differences in striatal representation of stimulus value (p = .0004). We found no group differences in behavior, cognitive scores, or caudate volumes.

conclusionsBehaviorally, gene carriers 9 years from predicted onset have been shown to learn better from gains than from losses. Our data suggest that a window exists in which HD-related functional neural changes are detectable long before associated behavioral change and 25 years before predicted motor onset. These represent the earliest functional imaging differences between HD gene carriers and control subjects.

Indexed as

Huntington DiseaseCorpus StriatumHumansMagnetic Resonance ImagingRewardComputational psychiatryHuntington'sLearningNeuroimagingStriatumValue

Identifiers

PMID33795209
PMCPMC8423628

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.