Representation of Pitch in Horizontal Space and Its Dependence on Musical and Instrumental Experience

Representation of pitch in horizontal space and its relationship to musical and instrumental experience was examined in three behavioral experiments. Each experiment investigated the influence of a task-irrelevant dimension (pitch or location) on the perception of a task-relevant dimension (location or pitch, respectively). Sine tones with nine different pitches were presented from nine locations, and participants estimated the pitch or location of the stimuli. Experiment 1 showed an influence of the (task irrelevant) pitch of presented stimuli on the perceived location of the stimuli in musically experienced participants only. This influence increased with the degree of musical training of participants. No influence was found of presented location on the perception of pitch. Experiments 2 and 3 investigated the influence of instrumental expertise comparing the responses of a group of flutists with a group of pianists. An interaction with instrumental expertise was found only in Experiment 3, where participants played shortly on their respective instruments before doing the perceptual judgments. The experiments indicate that musical training in general influence the pitch-location association, and pianistic experience in particular

Myoclonus-dystonia : distinctive motor and non-motor phenotype from other dystonia syndromes

Background: myoclonus-dystonia (M-D) due to a pathogenic variant of SGCE is an autosomal dominant inherited movement disorder. Apart from motor symptoms, psychiatric disorders are highly prevalent in patients with MD. Previous studies suggest, but never tested directly, that the type of psychiatric disorder differs between dystonia syndromes, probably related to disease specific pathology. Little is known about other non-motor symptoms (NMS) in M.D. Here, we systematically study NMS in M-D in direct comparison to other types of dystonia and healthy controls. Methods: Standardized questionnaires were used to assess type and severity of psychiatric co-morbidity, sleep problems, fatigue and quality of life. Results of M-D patients with a pathogenic variant of SGCE were compared to results of idiopathic cervical dystonia (CD) patients, dopa-responsive dystonia (DRD) patients with a pathogenic variant of GCH1 and controls. Results: We included 164 participants: 41 M-D, 51 CD, 19 DRD patients, 53 controls. Dystonia patients (M-D, CD and DRD) had an increased prevalence of psychiatric disorders compared to controls (56-74% vs. 29%). In M-D we found a significantly increased prevalence of obsessive-compulsive disorder (OCD) and psychosis compared to CD and DRD. All dystonia patients had more sleep problems (49-68% vs. 36%) and fatigue (42-73% vs. 15%) than controls. Compared to other dystonia subtypes, M-D patients reported less excessive daytime sleepiness and fatigue. Conclusion: Psychiatric comorbidity is frequent in all dystonia types, but OCD and psychosis are more common in M-D patients. Further research is necessary to elucidate underlying pathways

Versatile silicon-waveguide supercontinuum for coherent mid-infrared spectroscopy

Infrared spectroscopy is a powerful tool for basic and applied science. The molecular spectral fingerprints in the 3 um to 20 um region provide a means to uniquely identify molecular structure for fundamental spectroscopy, atmospheric chemistry, trace and hazardous gas detection, and biological microscopy. Driven by such applications, the development of low-noise, coherent laser sources with broad, tunable coverage is a topic of great interest. Laser frequency combs possess a unique combination of precisely defined spectral lines and broad bandwidth that can enable the above-mentioned applications. Here, we leverage robust fabrication and geometrical dispersion engineering of silicon nanophotonic waveguides for coherent frequency comb generation spanning 70 THz in the mid-infrared (2.5 um to 6.2 um). Precise waveguide fabrication provides significant spectral broadening and engineered spectra targeted at specific mid-infrared bands. We use this coherent light source for dual-comb spectroscopy at 5 um.Comment: 26 pages, 5 figure

Volumetric evaluation of CT images of adrenal glands in primary aldosteronism

Objectives: To investigate whether adrenal volumetry provides better agreement with adrenal vein sampling (AVS) than conventional CT for subtyping PA. Furthermore, we evaluated whether the size of this contralateral adrenal was a prognostic factor for clinical outcome after unilateral adrenalectomy.Methods: We retrospectively analyzed volumes of both adrenal glands of the 180 CT-scans (88/180 with unilateral and 92/180 with bilateral disease) of the patients with PA included in the SPARTACUS trial of which 85 also had undergone an AVS. In addition, we examined CT-scans of 20 healthy individuals to compare adrenal volumes with published normal values.Results: Adrenal volume was higher for the left than the right adrenal (mean and SD: 6.49 ± 2.77 ml versus 5.25 ± 1.87 ml for the right adrenal; p &lt; 0.001). Concordance between volumetry and AVS in subtyping was 58.8%, versus 51.8% between conventional CT results and AVS (p = NS). The volumes of the contralateral adrenals in the patients with unilateral disease (right 4.78 ± 1.37 ml; left 6.00 ± 2.73 ml) were higher than those of healthy controls reported in the literature (right 3.62 ± 1.23 ml p &lt; 0.001; left 4.84 ± 1.67 ml p = 0.02). In a multivariable analysis the contralateral volume was not associated with biochemical or clinical success, nor with the defined daily doses of antihypertensive agents at 1 year follow-up.Conclusions: Volumetry of the adrenal glands is not superior to current assessment of adrenal size by CT for subtyping patients with PA. Furthermore, in patients with unilateral disease the size of the contralateral adrenal is enlarged but its size is not associated with outcome.</p

Designing new musical technologies for wellbeing – exploring the needs and preferences of those living with dementia

Background Music has been found to provide numerous health and wellbeing benefits for people living with dementia. It is also quite open in terms of the forms of engagement it affords, offering numerous different ways to listen, play and create. Although technology has the potential to reduce barriers that people with dementia face when attempting to engage with music, little has been designed with them in mind. This study seeks to understand: i) the needs, rewards, and barriers that people with dementia and their carers face when engaging with music in their daily lives, and ii) how any specifically designed future musical interfaces will look and react. Method A survey using a mixture of qualitative and quantitative questions was distributed online to people living with mild cognitive impairment or dementia and to those that provide care for them. Questions asked about motivations and contexts for engagement, barriers and enabling factors, the comparative importance of various musical activities, and the technologies people living with dementia currently use and why. Result The main tools for listening include smartphone apps, radio, virtual assistants, and YouTube. Most participants listen to music on multiple devices, with its ease of use, accessibility, and convenience for their current listening environment frequently influencing their choice. They also presented a wide range of motivations for engaging with music, but a majority of participants agreed that “feeling like myself” is their most important motivator. Most participants thought it was very important for devices to offer choice. It should also have a simple way for them to turn it off or switch to a safe song if they hear a distressing song or it experiences signal loss. Conclusion The findings highlight that people living with dementia have diverse individual motivations for music, and they want it to perform different functions at different times (e.g. sometimes aiding in their relaxation and sometimes connecting them with others). The findings point to fruitful future directions for technology development: i) ready-to-use tools that can adapt to changing interests, and ii) tools that make it easy to access choice and variety while safeguarding against distress from unwanted or unexpected events

Designing new musical technologies for wellbeing – exploring the needs and preferences of those living with dementia

Background Music has been found to provide numerous health and wellbeing benefits for people living with dementia. It is also quite open in terms of the forms of engagement it affords, offering numerous different ways to listen, play and create. Although technology has the potential to reduce barriers that people with dementia face when attempting to engage with music, little has been designed with them in mind. This study seeks to understand: i) the needs, rewards, and barriers that people with dementia and their carers face when engaging with music in their daily lives, and ii) how any specifically designed future musical interfaces will look and react. Method A survey using a mixture of qualitative and quantitative questions was distributed online to people living with mild cognitive impairment or dementia and to those that provide care for them. Questions asked about motivations and contexts for engagement, barriers and enabling factors, the comparative importance of various musical activities, and the technologies people living with dementia currently use and why. Result The main tools for listening include smartphone apps, radio, virtual assistants, and YouTube. Most participants listen to music on multiple devices, with its ease of use, accessibility, and convenience for their current listening environment frequently influencing their choice. They also presented a wide range of motivations for engaging with music, but a majority of participants agreed that “feeling like myself” is their most important motivator. Most participants thought it was very important for devices to offer choice. It should also have a simple way for them to turn it off or switch to a safe song if they hear a distressing song or it experiences signal loss. Conclusion The findings highlight that people living with dementia have diverse individual motivations for music, and they want it to perform different functions at different times (e.g. sometimes aiding in their relaxation and sometimes connecting them with others). The findings point to fruitful future directions for technology development: i) ready-to-use tools that can adapt to changing interests, and ii) tools that make it easy to access choice and variety while safeguarding against distress from unwanted or unexpected events

The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from ⁸²Rb-PET/CT myocardial perfusion imaging

Background: Assessment of both coronary artery calcium(CAC) scores and myocardial perfusion imaging(MPI) in patients suspected of coronary artery disease(CAD) provides incremental prognostic information. We used an automated method to determine CAC scores on low-dose attenuation correction CT(LDACT) images gathered during MPI in one single assessment. The prognostic value of this automated CAC score is unknown, we therefore investigated the association of this automated CAC scores and major adverse cardiovascular events(MACE) in a large chest-pain cohort. Method: We analyzed 747 symptomatic patients referred for 82RubidiumPET/CT, without a history of coronary revascularization. Ischemia was defined as a summed difference score≥2. We used a validated deep learning(DL) method to determine CAC scores. For survival analysis CAC scores were dichotomized as low(90 days after scanning) or nonfatal myocardial infarction. Cox proportional hazard analysis were performed to identify predictors of MACE. Results: During 4 years follow-up, 115 MACEs were observed. High CAC scores showed higher cumulative event rates, irrespective of ischemia (nonischemic: 25.8% vs 11.9% and ischemic: 57.6% vs 23.4%, P-values <0.001). Multivariable cox regression revealed both high CAC scores (HR 2.19 95%CI 1.43–3.35) and ischemia (HR 2.56 95%CI 1.71–3.35) as independent predictors of MACE. Addition of automated CAC scores showed a net reclassification improvement of 0.13(0.022–0.245). Conclusion: Automatically derived CAC scores determined during a single imaging session are independently associated with MACE. This validated DL method could improve risk stratification and subsequently lead to more personalized treatment in patients suspected of CAD