Decoding expectation and surprise in dementia: the paradigm of music

Author:

Benhamou Elia1ORCID,Zhao Sijia2ORCID,Sivasathiaseelan Harri1,Johnson Jeremy C S1ORCID,Requena-Komuro Maï-Carmen1ORCID,Bond Rebecca L1,van Leeuwen Janneke E P1,Russell Lucy L1,Greaves Caroline V1,Nelson Annabel1,Nicholas Jennifer M3,Hardy Chris J D1,Rohrer Jonathan D1,Warren Jason D1

Affiliation:

1. Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK

2. Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK

3. Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK

Abstract

Abstract Making predictions about the world and responding appropriately to unexpected events are essential functions of the healthy brain. In neurodegenerative disorders, such as frontotemporal dementia and Alzheimer’s disease, impaired processing of ‘surprise’ may underpin a diverse array of symptoms, particularly abnormalities of social and emotional behaviour, but is challenging to characterize. Here, we addressed this issue using a novel paradigm: music. We studied 62 patients (24 female; aged 53–88) representing major syndromes of frontotemporal dementia (behavioural variant, semantic variant primary progressive aphasia, non-fluent-agrammatic variant primary progressive aphasia) and typical amnestic Alzheimer’s disease, in relation to 33 healthy controls (18 female; aged 54–78). Participants heard famous melodies containing no deviants or one of three types of deviant note—acoustic (white-noise burst), syntactic (key-violating pitch change) or semantic (key-preserving pitch change). Using a regression model that took elementary perceptual, executive and musical competence into account, we assessed accuracy detecting melodic deviants and simultaneously recorded pupillary responses and related these to deviant surprise value (information-content) and carrier melody predictability (entropy), calculated using an unsupervised machine learning model of music. Neuroanatomical associations of deviant detection accuracy and coupling of detection to deviant surprise value were assessed using voxel-based morphometry of patients’ brain MRI. Whereas Alzheimer’s disease was associated with normal deviant detection accuracy, behavioural and semantic variant frontotemporal dementia syndromes were associated with strikingly similar profiles of impaired syntactic and semantic deviant detection accuracy and impaired behavioural and autonomic sensitivity to deviant information-content (all P < 0.05). On the other hand, non-fluent-agrammatic primary progressive aphasia was associated with generalized impairment of deviant discriminability (P < 0.05) due to excessive false-alarms, despite retained behavioural and autonomic sensitivity to deviant information-content and melody predictability. Across the patient cohort, grey matter correlates of acoustic deviant detection accuracy were identified in precuneus, mid and mesial temporal regions; correlates of syntactic deviant detection accuracy and information-content processing, in inferior frontal and anterior temporal cortices, putamen and nucleus accumbens; and a common correlate of musical salience coding in supplementary motor area (all P < 0.05, corrected for multiple comparisons in pre-specified regions of interest). Our findings suggest that major dementias have distinct profiles of sensory ‘surprise’ processing, as instantiated in music. Music may be a useful and informative paradigm for probing the predictive decoding of complex sensory environments in neurodegenerative proteinopathies, with implications for understanding and measuring the core pathophysiology of these diseases.

Funder

Alzheimer’s Society, the University College London Hospitals (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre and the Wellcome Trust

Brain Research UK PhD Studentship

Leonard Wolfson Experimental Neurology Centre

Association of British Neurologists Clinical Research Training Fellowship

Wellcome Trust PhD Studentship

Medical Research Council (MRC) Mental Health PhD Studentship

Engineering and Physical Sciences Research Council (EPSRC) PhD Studentship

Action on Hearing Loss–Dunhill Medical Trust Pauline Ashley Fellowship

Medical Research Council (MRC) Clinician Scientist Fellowship

Publisher

Oxford University Press (OUP)

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference148 articles.

1. Psychological and cognitive markers of behavioral variant frontotemporal dementia—a clinical neuropsychologist’s view on diagnostic criteria and beyond;Johnen;Front Neurol,2019

2. Frontotemporal dementia: a clinical review;Sivasathiaseelan;Semin Neurol,2019

3. Frontotemporal dementia;Warren;BMJ,2013

4. Contextual social cognition and the behavioral variant of frontotemporal dementia;Ibañez;Neurology,2012

5. Facial emotion recognition performance differentiates between behavioral variant frontotemporal dementia and major depressive disorder;Chiu;J Clin Psychiatry,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3