ArticleAnnals of clinical and translational neurology2020
The neural network basis of altered decision-making in patients with amyotrophic lateral sclerosis.
Article in Annals of clinical and translational neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Evidence based on Mendelian randomization and colocalization analysis strengthens causal relationships between structural changes in specific brain regions and risk of amyotrophic lateral sclerosis.Frontiers in neuroscience · 2024Article
- Homeostasis to Allostasis: Prefrontal Astrocyte Roles in Cognitive Flexibility and Stress Biology.Advances in neurobiology · 2024Review
- The Spectrum of Cognitive Dysfunction in Amyotrophic Lateral Sclerosis: An Update.International journal of molecular sciences · 2023Review
- Neural and behavioral signatures of the multidimensionality of manipulable object processing.Communications biology · 2023Article
- The Testamentary Capacity Assessment Tool (TCAT): validation and normative data.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Article
- Characteristics of Neural Network Changes in Normal Aging and Early Dementia.Frontiers in aging neuroscience · 2021Review
Corrections and comments
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Authors and funding
17 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAmyotrophic lateral sclerosis (ALS) is a multisystem disorder associated with motor impairment and behavioral/cognitive involvement. We examined decision-making features and changes in the neural hub network in patients with ALS using a probabilistic reversal learning task and resting-state network analysis, respectively.
methodsNinety ALS patients and 127 cognitively normal participants performed this task. Data from 62 ALS patients and 63 control participants were fitted to a Q-learning model.
resultsALS patients had anomalous decision-making features with little shift in choice until they thought the value of the two alternatives had become equal. The quantified parameters (Pαβ) calculated by logistic regression analysis with learning rate and inverse temperature well represented the unique choice pattern of ALS patients. Resting-state network analysis demonstrated a strong correlation between Pαβ and decreased degree centrality in the anterior cingulate gyrus and frontal pole.
interpretationAltered decision-making in ALS patients may be related to the decreased hub function of medial prefrontal areas.
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Registered trials
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