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van ‘t Hooft JJ, Hartog WL, Braun M, Boessen D, Fieldhouse JLP, van Engelen MPE, Singleton EH, Jaschke AC, Schaefer RS, Venkatraghavan V, Barkhof F, van Harten AC, Duits FH, Schouws SNTM, Oudega ML, Warren JD, Tijms BM, Pijnenburg YAL. Musicality and social cognition in dementia: clinical and anatomical associations. Brain Commun 2024; 6:fcae429. [PMID: 39678365 PMCID: PMC11642622 DOI: 10.1093/braincomms/fcae429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 10/17/2024] [Accepted: 12/11/2024] [Indexed: 12/17/2024] Open
Abstract
Human musicality might have co-evolved with social cognition abilities, but common neuroanatomical substrates remain largely unclear. In behavioural variant frontotemporal dementia, social cognitive abilities are profoundly impaired, whereas these are typically spared in Alzheimer's disease. If musicality indeed shares a neuroanatomical basis with social cognition, it could be hypothesized that clinical and neuroanatomical associations of musicality and social cognition should differ between these causes of dementia. We recruited 73 participants from the Amsterdam Dementia Cohort (n = 30 female; aged 50-78), of whom 23 had behavioural variant frontotemporal dementia, 22 Alzheimer's disease and 28 were healthy controls. Musicality was assessed using a music-emotion recognition test, melody, tempo, accent and tuning subscores, a musicality summed score, the identification of auditory hedonic phenotypes and music emotion induction using skin conductance responses. Social cognition was assessed across multiple levels, including emotion recognition, theory of mind, socio-emotional sensitivity and understanding of social norms. We used ANCOVA to investigate subgroup differences in musicality and social cognition and linear regressions to investigate associations between musicality and social cognition. All analyses were adjusted for age, sex, musical training and mini mental state examination. Finally, we performed voxel-based morphometry analyses on T1-weighted MRI to study whether regions for musicality and social cognition overlapped anatomically. We found that patients with behavioural variant frontotemporal dementia performed worse on music-emotion recognition (all P < 0.001) and tempo recognition (all P < 0.05) compared with Alzheimer's disease and on musicality summed score (all P = 0.02) compared to controls only. Furthermore, patients with behavioural variant frontotemporal dementia had lower mean skin conductance responses during emotion-inducing music, compared to Alzheimer's disease (all P < 0.045). Worse music emotion recognition scores were associated with worse facial emotion recognition (P < 0.0001), worse theory of mind (P = 0.0005) and worse understanding of social norms (P = 0.01). Melody and tempo recognition were associated with facial emotion recognition and theory of mind, and accent recognition was associated with the theory of mind. Music emotion recognition and tempo recognition were also associated with executive functions. Worse music emotion recognition, melody recognition, tempo recognition, facial emotion recognition and theory of mind scores were all related to atrophy in the anterior temporal regions and the fusiform gyri, which play a role in multisensory integration, and worse tempo recognition was associated with atrophy of the anterior cingulate cortex. These results support the idea that musicality and social cognition may share a neurobiological basis, which may be vulnerable in behavioural variant frontotemporal dementia.
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Affiliation(s)
- Jochum J van ‘t Hooft
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Willem L Hartog
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Michelle Braun
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Dewi Boessen
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Jay L P Fieldhouse
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Marie-Paule E van Engelen
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Ellen H Singleton
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Artur C Jaschke
- Music Therapy, ArtEZ University of the Arts, 7511 PN Enschede, The Netherlands
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Neonatology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
- Cambridge Institute for Music Therapy Research, Cambridge, UK
| | - Rebecca S Schaefer
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, 2333 AK Leiden, The Netherlands
- Academy for Creative and Performing Arts, Leiden University, 2311 GZ Leiden, The Netherlands
| | - Vikram Venkatraghavan
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
- UCL Institutes of Neurology and Healthcare Engineering, University College London, UK
| | - Argonde C van Harten
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Flora H Duits
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Neurochemistry Lab, Department of Laboratory Medicine, Amsterdam UMC Location VUmc, 1081 HV Amsterdam, The Netherlands
| | - Sigfried N T M Schouws
- Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
- GGZ, InGeest Specialized Mental Health Care, Old Age Psychiatry, 1081 JC Amsterdam, The Netherlands
| | - Mardien L Oudega
- Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
- GGZ, InGeest Specialized Mental Health Care, Old Age Psychiatry, 1081 JC Amsterdam, The Netherlands
- Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep and Stress Program, 1081 HV Amsterdam, The Netherlands
| | - Jason D Warren
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College, London, UK
| | - Betty M Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
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Wang Y, Jin Z, Huyang S, Lian Q, Wu D. Elevated Activity in Left Homologous Music Circuits Is Inhibitory for Music Perception but Mediated by Structure-Function Coupling. CNS Neurosci Ther 2024; 30:e70174. [PMID: 39725651 DOI: 10.1111/cns.70174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 11/17/2024] [Accepted: 11/30/2024] [Indexed: 12/28/2024] Open
Abstract
AIMS Previous studies suggested that structural and functional connectivity of right frontotemporal circuits associate with music perception. Emerging evidences demonstrated that structure-function coupling is important for cognition and may allow for a more sensitive investigation of brain-behavior association, while we know little about the relationship between structure-function coupling and music perception. METHODS We collected multimodal neuroimaging data from 106 participants and measured their music perception by Montreal Battery of Evaluation of Amusia (MBEA). Then we computed structure-function coupling, amplitude of low-frequency fluctuation (ALFF), gray matter volume (GMV), and structural/functional degree centrality (DC) and utilized support vector regression algorithm to build their relationship with MBEA score. RESULTS We found structure-function coupling, rather than GMV, ALFF, or DC, contributed to predict MBEA score. Left middle frontal gyrus (L.MFG), bilateral inferior temporal gyrus, and right insula were the most predictive ROIs for MBEA score. Mediation analysis revealed structure-function coupling of L.MFG, a region that is homologous to typical music circuits, fully mediated the negative link between ALFF of L.MFG and MBEA score. CONCLUSION Structure-function coupling is more effective when explaining variation in music perception. Our findings provide further understanding for the neural basis of music and have implications for cognitive causes of amusia.
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Affiliation(s)
- Yucheng Wang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhishuai Jin
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Sizhu Huyang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qiaoping Lian
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Daxing Wu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Medical Psychological Institute of Central South University, Changsha, Hunan, China
- National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China
- National Center for Mental Disorders (Xiangya), Changsha, Hunan, China
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van’t Hooft JJ, Benhamou E, Albero Herreros C, Jiang J, Levett B, Core LB, Requena-Komuro MC, Hardy CJD, Tijms BM, Pijnenburg YAL, Warren JD. Musical experience influences socio-emotional functioning in behavioural variant frontotemporal dementia. Front Neurol 2024; 15:1341661. [PMID: 38333611 PMCID: PMC10851745 DOI: 10.3389/fneur.2024.1341661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/11/2024] [Indexed: 02/10/2024] Open
Abstract
Objectives On phenotypic and neuroanatomical grounds, music exposure might potentially affect the clinical expression of behavioural variant frontotemporal dementia (bvFTD). However, this has not been clarified. Methods 14 consecutive patients with bvFTD fulfilling consensus diagnostic criteria were recruited via a specialist cognitive clinic. Earlier life musical experience, current musical listening habits and general socio-emotional behaviours were scored using a bespoke semi-quantitative musical survey and standardised functional scales, completed with the assistance of patients' primary caregivers. Associations of musical scores with behavioural scales were assessed using a linear regression model adjusted for age, sex, educational attainment and level of executive and general cognitive impairment. Results Greater earlier life musical experience was associated with significantly lower Cambridge Behavioural Inventory (Revised) scores (β ± SE = -17.2 ± 5.2; p = 0.01) and higher Modified Interpersonal Reactivity Index (MIRI) perspective-taking scores (β ± SE = 2.8 ± 1.1; p = 0.03), after adjusting for general cognitive ability. Number of hours each week currently spent listening to music was associated with higher MIRI empathic concern (β ± SE = 0.7 ± 0.21; p = 0.015) and MIRI total scores (β ± SE = 1.1 ± 0.34; p = 0.014). Discussion Musical experience in earlier life and potentially ongoing regular music listening may ameliorate socio-emotional functioning in bvFTD. Future work in larger cohorts is required to substantiate the robustness of this association, establish its mechanism and evaluate its clinical potential.
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Affiliation(s)
- Jochum J. van’t Hooft
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
- Alzheimer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Neuroscience—Neurodegeneration, Amsterdam, Netherlands
| | - Elia Benhamou
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Claudia Albero Herreros
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jessica Jiang
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Benjamin Levett
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Lucy B. Core
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Mai-Carmen Requena-Komuro
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Chris J. D. Hardy
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Betty M. Tijms
- Alzheimer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Neuroscience—Neurodegeneration, Amsterdam, Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Neuroscience—Neurodegeneration, Amsterdam, Netherlands
| | - Jason D. Warren
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
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Usnich T, Krasivskaya E, Klostermann F. Theory of mind deficits in Parkinson's disease are not modulated by dopaminergic medication. Front Neurol 2023; 14:1208638. [PMID: 37822526 PMCID: PMC10562626 DOI: 10.3389/fneur.2023.1208638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
Introduction Patients with Parkinson's disease (PD) exhibit deficits in social cognition, particularly with respect to Theory of Mind (ToM) capacities. It is unclear whether they are associated with PD-related dopamine deficiency and modulated by levodopa replacement therapy. Methods A total of 15 persons with PD and 13 healthy controls (HC) participated in the study. They performed different neuropsychological tasks, including the Faux Pas Recognition Test (FPRT), assessing different dimensions of cognitive ToM (e.g., detection, inappropriateness, intentions), and the Reading the Mind in the Eyes Test (RMET) as an index of affective ToM. Persons with PD were tested twice, once under their regular treatment and another time after at least 18 h of levodopa withdrawal (MED-ON and MED-OFF, respectively). On either occasion, serum drug levels and motor symptom severity [Unified Parkinson's Disease Rating Scale (UPDRS)] were measured. Results MED-ON and MED-OFF conditions in patients with PD were confirmed by higher serum drug levels in the former than in the latter state and a corresponding amelioration of the motor deficit. In so doing, no performance difference in any ToM-related task was identified as a function of the levodopa therapy. Generally, patients performed worse than controls in both affective and cognitive ToM tests. Conclusion Patients with PD have deficits in cognitive and affective ToM. Dopamine replacement, effective for improving the motor condition, does not appear to counteract these dysfunctions.
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Affiliation(s)
| | | | - Fabian Klostermann
- Department of Neurology, Charité Universitätsmedizin Berlin, Berlin, Germany
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Ji C, Yang J, Lin L, Chen S. Evaluating the Cognitive Effects of Video-Induced Negative Affect in College Students: A Comparative Study between Acute Exercise and Music Listening. J Intell 2023; 11:jintelligence11010012. [PMID: 36662142 PMCID: PMC9861909 DOI: 10.3390/jintelligence11010012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 12/15/2022] [Accepted: 01/03/2023] [Indexed: 01/07/2023] Open
Abstract
Background: Video-induced negative affect may have an impact on cognition. In this study, acute exercise and music listening are used to explore their impact on individual cognition with video-induced negative affect. Method: All the participants were randomly divided into six groups. Group 1 (n = 19, average age = 20.15) was not given any form of acute exercise or music listening; Group 2 (n = 20, average age = 21.33) was given music listening; Group 3 (n = 20, average age = 20.89) was given acute exercise; Group 4 (n = 20, average age = 21.03) only watched a video without being given any acute exercise or music listening; Group 5 (n = 19, average age = 20.68) was given music listening after watching a video; Group 6 (n = 18, average age = 21.32) was given acute exercise after watching a video. Results: In the pre-test, we found that there was no significant difference in negative affect, positive affect, and cognitive performance among the groups (p > .05). The post-test indicated that the negative affect of college students who watched the video (20.16 ± 8.34) was higher than that of college students who did not watch the video (11.12 ± 3.29). Acute exercise and music listening improved the cognitive performance of college students with video-induced negative affect. Acute exercise improved the cognitive performance of college students with non-video-induced negative affect, while music listening did not. Conclusion: The acute decline in the cognitive performance of college students caused by video-induced negative affect can be ameliorated by means of acute exercise and music listening.
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Affiliation(s)
- Chaoxin Ji
- Physical Education Department, Northeastern University, Shenyang 110819, China
- Correspondence: (C.J.); (S.C.)
| | - Jun Yang
- College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Lin Lin
- School of Social and Political Science, University of Glasgow, Glasgow G12 8QQ, UK
| | - Song Chen
- Physical Education Department, Northeastern University, Shenyang 110819, China
- Correspondence: (C.J.); (S.C.)
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MacGregor C, Ruth N, Müllensiefen D. Development and validation of the first adaptive test of emotion perception in music. Cogn Emot 2023; 37:284-302. [PMID: 36592153 DOI: 10.1080/02699931.2022.2162003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
ABSTRACTThe Musical Emotion Discrimination Task (MEDT) is a short, non-adaptive test of the ability to discriminate emotions in music. Test-takers hear two performances of the same melody, both played by the same performer but each trying to communicate a different basic emotion, and are asked to determine which one is "happier", for example. The goal of the current study was to construct a new version of the MEDT using a larger set of shorter, more diverse music clips and an adaptive framework to expand the ability range for which the test can deliver measurements. The first study analysed responses from a large sample of participants (N = 624) to determine how musical features contributed to item difficulty, which resulted in a quantitative model of musical emotion discrimination ability rooted in Item Response Theory (IRT). This model informed the construction of the adaptive MEDT. A second study contributed preliminary evidence for the validity and reliability of the adaptive MEDT, and demonstrated that the new version of the test is suitable for a wider range of abilities. This paper therefore presents the first adaptive musical emotion discrimination test, a new resource for investigating emotion processing which is freely available for research use.
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Affiliation(s)
- Chloe MacGregor
- Department of Psychology, Goldsmiths, University of London, London, England
| | - Nicolas Ruth
- Institute for Cultural Management and Media, University of Music and Performing Arts Munich, Munchen, Germany
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van ‘t Hooft JJ, Fieldhouse JLP, Singleton EH, Jaschke AC, Warren JD, Tijms BM, Pijnenburg YAL. Music appreciation phenotypes in patients with frontotemporal dementia: A pilot study. Int J Geriatr Psychiatry 2022; 37:10.1002/gps.5793. [PMID: 35962477 PMCID: PMC9544804 DOI: 10.1002/gps.5793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 07/22/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Frontotemporal dementia (FTD) can present with changes in music appreciation. Research has suggested a relationship of altered music appreciation phenotypes with typical socio-emotional changes. We aimed to determine the prevalence and severity of music appreciation phenotypes in FTD and study the relationship with emotion recognition capacities in order to examine whether they could serve as a proxy for changes in socio-emotional functioning. METHODS/DESIGN Based on reported musical changes in the literature, we developed an informant-based questionnaire to assess musical changes and a music test to assess music emotion recognition. Social cognition was assessed with the Ekman 60 faces test in a subgroup of patients (n = 23). Relationships between measures were assessed with linear regressions. RESULTS We included 47 patients (44.7% female, mean age 65.0 ± 8.4, 31 behavioral variant FTD (bvFTD), 10 semantic dementia (SD), and six progressive nonfluent aphasia (PNFA)). Thirty-six caregivers were included in the music emotion recognition test as controls. Altered music appreciation phenotypes were observed in 79% of the FTD patients. Musicophilia was present in a third of bvFTD patients, and only in up to 10% in language FTD variants. Changes in music appreciation were not associated with decreased music emotion recognition or visual emotion recognition. Compared to controls, bvFTD performed worse on the music emotion recognition task (p < 0.003), and no differences were found with SD (p = 0.06) and PNFA patients (p = 0.8). CONCLUSIONS Music appreciation phenotypes are highly prevalent in FTD patients. Future studies should further investigate the potential diagnostic value of changes in music processing.
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Affiliation(s)
- Jochum J. van ‘t Hooft
- Alzheimer Center AmsterdamNeurologyVrije Universiteit AmsterdamAmsterdam UMC location VUmcAmsterdamThe Netherlands,Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Jay L. P. Fieldhouse
- Alzheimer Center AmsterdamNeurologyVrije Universiteit AmsterdamAmsterdam UMC location VUmcAmsterdamThe Netherlands,Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Ellen H. Singleton
- Alzheimer Center AmsterdamNeurologyVrije Universiteit AmsterdamAmsterdam UMC location VUmcAmsterdamThe Netherlands,Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Artur C. Jaschke
- Music TherapyArtEZ University of the ArtsEnschedeThe Netherlands,Clinical NeuropsychologyVU University AmsterdamAmsterdamThe Netherlands,NeonatologyUniversity Medical Center GroningenGroningenThe Netherlands
| | - Jason D. Warren
- Dementia Research CentreUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Betty M. Tijms
- Alzheimer Center AmsterdamNeurologyVrije Universiteit AmsterdamAmsterdam UMC location VUmcAmsterdamThe Netherlands,Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center AmsterdamNeurologyVrije Universiteit AmsterdamAmsterdam UMC location VUmcAmsterdamThe Netherlands,Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
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Zhang Y, Zhang C, Cheng L, Qi M. The Use of Deep Learning-Based Gesture Interactive Robot in the Treatment of Autistic Children Under Music Perception Education. Front Psychol 2022; 13:762701. [PMID: 35222179 PMCID: PMC8866172 DOI: 10.3389/fpsyg.2022.762701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 01/03/2022] [Indexed: 11/23/2022] Open
Abstract
The purpose of this study was to apply deep learning to music perception education. Music perception therapy for autistic children using gesture interactive robots based on the concept of educational psychology and deep learning technology is proposed. First, the experimental problems are defined and explained based on the relevant theories of pedagogy. Next, gesture interactive robots and music perception education classrooms are studied based on recurrent neural networks (RNNs). Then, autistic children are treated by music perception, and an electroencephalogram (EEG) is used to collect the music perception effect and disease diagnosis results of children. Due to significant advantages of signal feature extraction and classification, RNN is used to analyze the EEG of autistic children receiving different music perception treatments to improve classification accuracy. The experimental results are as follows. The analysis of EEG signals proves that different people have different perceptions of music, but this difference fluctuates in a certain range. The classification accuracy of the designed model is about 72–94%, and the average classification accuracy is about 85%. The average accuracy of the model for EEG classification of autistic children is 85%, and that of healthy children is 84%. The test results with similar models also prove the excellent performance of the design model. This exploration provides a reference for applying the artificial intelligence (AI) technology in music perception education to diagnose and treat autistic children.
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Affiliation(s)
- Yiyao Zhang
- College of Art and Communication, Beijing Normal University, Beijing, China
| | - Chao Zhang
- School of Theater, Film and Television, Communication University of China, Beijing, China
| | - Lei Cheng
- School of Art, Ludong University, Yantai, China
| | - Mingwei Qi
- Department of Music, Dalian Arts College, Dalian, China
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Better living through understanding the insula: Why subregions can make all the difference. Neuropharmacology 2021; 198:108765. [PMID: 34461066 DOI: 10.1016/j.neuropharm.2021.108765] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/19/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023]
Abstract
Insula function is considered critical for many motivated behaviors, with proposed functions ranging from attention, behavioral control, emotional regulation, goal-directed and aversion-resistant responding. Further, the insula is implicated in many neuropsychiatric conditions including substance abuse. More recently, multiple insula subregions have been distinguished based on anatomy, connectivity, and functional contributions. Generally, posterior insula is thought to encode more somatosensory inputs, which integrate with limbic/emotional information in middle insula, that in turn integrate with cognitive processes in anterior insula. Together, these regions provide rapid interoceptive information about the current or predicted situation, facilitating autonomic recruitment and quick, flexible action. Here, we seek to create a robust foundation from which to understand potential subregion differences, and provide direction for future studies. We address subregion differences across humans and rodents, so that the latter's mechanistic interventions can best mesh with clinical relevance of human conditions. We first consider the insula's suggested roles in humans, then compare subregional studies, and finally describe rodent work. One primary goal is to encourage precision in describing insula subregions, since imprecision (e.g. including both posterior and anterior studies when describing insula work) does a disservice to a larger understanding of insula contributions. Additionally, we note that specific task details can greatly impact recruitment of various subregions, requiring care and nuance in design and interpretation of studies. Nonetheless, the central ethological importance of the insula makes continued research to uncover mechanistic, mood, and behavioral contributions of paramount importance and interest. This article is part of the special Issue on 'Neurocircuitry Modulating Drug and Alcohol Abuse'.
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Benhamou E, Zhao S, Sivasathiaseelan H, Johnson JCS, Requena-Komuro MC, Bond RL, van Leeuwen JEP, Russell LL, Greaves CV, Nelson A, Nicholas JM, Hardy CJD, Rohrer JD, Warren JD. Decoding expectation and surprise in dementia: the paradigm of music. Brain Commun 2021; 3:fcab173. [PMID: 34423301 PMCID: PMC8376684 DOI: 10.1093/braincomms/fcab173] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2021] [Indexed: 01/08/2023] Open
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.
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Affiliation(s)
- Elia Benhamou
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Sijia Zhao
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK
| | - Harri Sivasathiaseelan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Jeremy C S Johnson
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Maï-Carmen Requena-Komuro
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Rebecca L Bond
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Janneke E P van Leeuwen
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Lucy L Russell
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Caroline V Greaves
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Annabel Nelson
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Jennifer M Nicholas
- Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Chris J D Hardy
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Jason D Warren
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
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