Network connectivity differences in music listening among older adults following a music-based intervention.

Music-based interventions are a common feature in long-term care with clinical reports highlighting music's ability to engage individuals with complex diagnoses. While these findings are promising, normative findings from healthy controls are needed to disambiguate treatment effects unique to pathology and those seen in healthy aging. The present study examines brain network dynamics during music listening in a sample of healthy older adults before and after a music-based intervention. We found intervention effects from hidden Markov model-estimated fMRI network data. Following the intervention, participants demonstrated greater occupancy (the amount of time a network was occupied) in a temporal-mesolimbic network. We conclude that network dynamics in healthy older adults are sensitive to music-based interventions. We discuss these findings' implications for future studies with individuals with neurodegeneration.

Age-related variability in network engagement during music listening.

Listening to music is an enjoyable behaviour that engages multiple networks of brain regions. As such, the act of music listening may offer a way to interrogate network activity, and to examine the reconfigurations of brain networks that have been observed in healthy aging. The present study is an exploratory examination of brain network dynamics during music listening in healthy older and younger adults. Network measures were extracted and analyzed together with behavioural data using a combination of hidden Markov modelling and partial least squares. We found age- and preference-related differences in fMRI data collected during music listening in healthy younger and older adults. Both age groups showed higher occupancy (the proportion of time a network was active) in a temporal-mesolimbic network while listening to self-selected music. Activity in this network was strongly positively correlated with liking and familiarity ratings in younger adults, but less so in older adults. Additionally, older adults showed a higher degree of correlation between liking and familiarity ratings consistent with past behavioural work on age-related dedifferentiation. We conclude that, while older adults do show network and behaviour patterns consistent with dedifferentiation, activity in the temporal-mesolimbic network is relatively robust to dedifferentiation. These findings may help explain how music listening remains meaningful and rewarding in old age.

Structure and biological evaluation of Caenorhabditis elegans CISD-1/mitoNEET, a KLP-17 tail domain homologue, supports attenuation of paraquat-induced oxidative stress through a p38 MAPK-mediated antioxidant defense response.

CISD-1/mitoNEET is an evolutionarily conserved outer mitochondrial membrane [2Fe-2S] protein that regulates mitochondrial function and morphology. The [2Fe-2S] clusters are redox reactive and shown to mediate oxidative stress in vitro and in vivo. However, there is limited research studying CISD-1/mitoNEET mediation of oxidative stress in response to environmental stressors. In this study, we have determined the X-ray crystal structure of Caenorhabditis elegans CISD-1/mitoNEET homologue and evaluated the mechanisms of oxidative stress resistance to the pro-oxidant paraquat in age-synchronized populations by generating C. elegans gain and loss of function CISD-1 models. The structure of the C. elegans CISD-1/mitoNEET soluble domain refined at 1.70-Å resolution uniquely shows a reversible disulfide linkage at the homo-dimeric interface and also represents the N-terminal tail domain for dimerization of the cognate kinesin motor protein KLP-17 involved in chromosome segregation dynamics and germline development of the nematode. Moreover, overexpression of CISD-1/mitoNEET in C. elegans has revealed beneficial effects on oxidative stress resistance against paraquat-induced reactive oxygen species generation, corroborated by increased activation of the p38 mitogen-activated protein kinase (MAPK) signaling cascade.

Integrating psychosocial variables and societal diversity in epidemic models for predicting COVID-19 transmission dynamics.

During the current COVID-19 pandemic, governments must make decisions based on a variety of information including estimations of infection spread, health care capacity, economic and psychosocial considerations. The disparate validity of current short-term forecasts of these factors is a major challenge to governments. By causally linking an established epidemiological spread model with dynamically evolving psychosocial variables, using Bayesian inference we estimate the strength and direction of these interactions for German and Danish data of disease spread, human mobility, and psychosocial factors based on the serial cross-sectional COVID-19 Snapshot Monitoring (COSMO; N = 16,981). We demonstrate that the strength of cumulative influence of psychosocial variables on infection rates is of a similar magnitude as the influence of physical distancing. We further show that the efficacy of political interventions to contain the disease strongly depends on societal diversity, in particular group-specific sensitivity to affective risk perception. As a consequence, the model may assist in quantifying the effect and timing of interventions, forecasting future scenarios, and differentiating the impact on diverse groups as a function of their societal organization. Importantly, the careful handling of societal factors, including support to the more vulnerable groups, adds another direct instrument to the battery of political interventions fighting epidemic spread.

Specialist approaches to prognostic counseling in isolated REM sleep behavior disorder.

OBJECTIVES/BACKGROUND: Most middle-aged and older adult patients with isolated (idiopathic) REM sleep behavior disorder (RBD) eventually develop parkinsonism, dementia with Lewy bodies, or multiple system atrophy. We aimed to describe the current sleep medicine specialist approach toward RBD prognostic counseling, and to determine physician beliefs and characteristics that impact provision of counseling. PATIENTS/METHODS: We surveyed 70 sleep medicine physicians with RBD expertise for demographic information, counseling practices, and their beliefs and understandings concerning the association between RBD and synucleinopathies, among other questions. Responses were summarized by descriptive statistics. RESULTS: Among the 44 respondents (63% response rate), 41 (93.2%) regularly provided prognostic counseling for most RBD patients, but only 31.8% routinely asked about patient preferences on receiving counseling. 41.8% believed that the risk for developing overt synucleinopathy following RBD diagnosis was >80%, but only 15.9% routinely provided this detailed phenoconversion risk estimate to their patients. Most respondents were concerned that RBD prognostic counseling could adversely impact on the patient's and family's mental health. CONCLUSIONS: Most expert RBD sleep clinicians routinely counsel their patients regarding the high risk for phenoconversion to parkinsonism or dementia, yet relatively few routinely ask patients about their preferences for receiving this information, and fewer provide details concerning the known high risk estimates for developing a synucleinopathy. Future research should analyze patients' values and preferences in RBD populations to inform approaches toward shared decision making for RBD prognostic counseling.

Complexity Matching: Brain Signals Mirror Environment Information Patterns during Music Listening and Reward.

Understanding how the human brain integrates information from the environment with intrinsic brain signals to produce individual perspectives is an essential element of understanding the human mind. Brain signal complexity, measured with multiscale entropy, has been employed as a measure of information processing in the brain, and we propose that it can also be used to measure the information available from a stimulus. We can directly assess the correspondence between brain signal complexity and stimulus complexity as an indication of how well the brain reflects the content of the environment in an analysis that we term "complexity matching." Music is an ideal stimulus because it is a multidimensional signal with a rich temporal evolution and because of its emotion- and reward-inducing potential. When participants focused on acoustic features of music, we found that EEG complexity was lower and more closely resembled the musical complexity compared to an emotional task that asked them to monitor how the music made them feel. Music-derived reward scores on the Barcelona Music Reward Questionnaire correlated with less complexity matching but higher EEG complexity. Compared with perceptual-level processing, emotional and reward responses are associated with additional internal information processes above and beyond those linked to the external stimulus. In other words, the brain adds something when judging the emotional valence of music.

Towards a standard model of musical improvisation.

Musical improvisation is a sophisticated cognitive process that combines creativity, goal-directed action, sensory monitoring and social interaction. With a renewed interest in quantifying creative processes facilitated by recent advances in neuroimaging technology, musical improvisation has emerged as an ideal paradigm to study creativity. However, many studies isolate the top-down processes related to creativity from those related to production and auditory perception, leaving the question of how creative behaviours integrate sensory information with higher cognitive processes unanswered. The bottom-up neural correlates of music perception have been extensively quantified, comprising networks for auditory processing and parsing semantic and syntactic content. In studies of spontaneously generated music and domain-general creativity, executive control and goal-directed movement networks are added to the perceptual foundation. This review summarises previous work on music perception and improvisation and presents a conceptual model of musical improvisation with known neural correlates. We make recommendations on future directions for the study of improvisation and discuss the challenges posed by this endeavour.

International multicentre randomised controlled trial of improvisational music therapy for children with autism spectrum disorder: TIME-A study.

BACKGROUND: Preliminary studies have indicated that music therapy may benefit children with autism spectrum disorders (ASD). OBJECTIVES: To examine the effects of improvisational music therapy (IMT) on social affect and responsiveness of children with ASD. DESIGN: International, multicentre, three-arm, single-masked randomised controlled trial, including a National Institute for Health Research (NIHR)-funded centre that recruited in London and the east of England. Randomisation was via a remote service using permuted blocks, stratified by study site. SETTING: Schools and private, voluntary and state-funded health-care services. PARTICIPANTS: Children aged between 4 and 7 years with a confirmed diagnosis of ASD and a parent or guardian who provided written informed consent. We excluded children with serious sensory disorder and those who had received music therapy within the past 12 months. INTERVENTIONS: All parents and children received enhanced standard care (ESC), which involved three 60-minute sessions of advice and support in addition to treatment as usual. In addition, they were randomised to either one (low-frequency) or three (high-frequency) sessions of IMT per week, or to ESC alone, over 5 months in a ratio of 1 : 1 : 2. MAIN OUTCOME MEASURES: The primary outcome was measured using the social affect score derived from the Autism Diagnostic Observation Schedule (ADOS) at 5 months: higher scores indicated greater impairment. Secondary outcomes included social affect at 12 months and parent-rated social responsiveness at 5 and 12 months (higher scores indicated greater impairment). RESULTS: A total of 364 participants were randomised between 2011 and 2015. A total of 182 children were allocated to IMT (90 to high-frequency sessions and 92 to low-frequency sessions), and 182 were allocated to ESC alone. A total of 314 (86.3%) of the total sample were followed up at 5 months [165 (90.7%) in the intervention group and 149 (81.9%) in the control group]. Among those randomised to IMT, 171 (94.0%) received it. From baseline to 5 months, mean scores of ADOS social affect decreased from 14.1 to 13.3 in music therapy and from 13.5 to 12.4 in standard care [mean difference: music therapy vs. standard care = 0.06, 95% confidence interval (CI) -0.70 to 0.81], with no significant difference in improvement. There were also no differences in the parent-rated social responsiveness score, which decreased from 96.0 to 89.2 in the music therapy group and from 96.1 to 93.3 in the standard care group over this period (mean difference: music therapy vs. standard care = -3.32, 95% CI -7.56 to 0.91). There were seven admissions to hospital that were unrelated to the study interventions in the two IMT arms compared with 10 unrelated admissions in the ESC group. CONCLUSIONS: Adding IMT to the treatment received by children with ASD did not improve social affect or parent-assessed social responsiveness. FUTURE WORK: Other methods for delivering music-focused interventions for children with ASD should be explored. TRIAL REGISTRATION: Current Controlled Trials ISRCTN78923965. FUNDING: This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 21, No. 59. See the NIHR Journals Library website for further project information.