Studi sull'immaginario musicale in Euripide

La dissertazione è suddivisa in due capitoli più tre appendici. Nel I capitolo, Musica e dolore, si indagano i casi di metamusicalità in riferimento al dolore, che si intensificano in Euripide: si nota lo sviluppo di una riflessione sul ruolo della mousike rispetto al dolore, espressa attraverso un lessico medico e musicale. Si dimostra che in Euripide si pone il problema di quale scopo abbia la musica, se sia utile, e in quale forma lo sia. Nella prima produzione si teorizza una mousa del lamento come dolce o terapeutica per chi soffre. Molti personaggi, però, mostrano sfiducia nel potere curativo del lamento. Nell’ultima produzione si intensificano gli interrogativi sulla performance del canto, che si connotano come casi metamusicali e metateatrali. Nell’Elena, nell’Ipsipile e nelle Baccanti, E. sembra proporre una terapia ‘omeopatica’ del dolore attraverso la musica orgiastico-dionisiaca. Nel II capitolo, Natura e musica, si sceglie l’Ifigenia Taurica come esempio di mimetismo orchestico-musicale fondato – oltre che su casi di autoreferenzialità – su un immaginario naturale che, ‘facendo musica’, contribuisce all’espressività della choreia e della musica in scena. Si ipotizza inoltre un accompagnamento musicale mimetico rispetto ai suoni della natura e movimenti di danza lineari accanto a formazioni circolari, che sembrano richiamare la ‘doppia natura’ del ditirambo. L’Appendice I, Gli aggettivi poetici ξουθός e ξουθόπτερος: il loro significato e la loro potenzialità allusiva, affronta un caso particolare e problematico di ‘mimetismo lessicale’, innescato dal termine ξουθός e dal composto euripideo ξουθόπτερος. Si dimostra che l’aggettivo indica originariamente un movimento vibratorio, ma sviluppa anche un senso sonoro, ed è quindi un termine evocativo rispetto alla performance. Nell’Appendice II, Il lessico musicale in Euripide, è raccolto il lessico euripideo coreutico-musicale. Nell’Appendice III, La mousike nei drammi euripidei, sono raccolti i riferimenti alla mousike in ogni dramma.

Non Invasive Tools for Early Detection of Autism Spectrum Disorders

Autism Spectrum Disorders (ASDs) describe a set of neurodevelopmental disorders. ASD represents a significant public health problem. Currently, ASDs are not diagnosed before the 2nd year of life but an early identification of ASDs would be crucial as interventions are much more effective than specific therapies starting in later childhood. To this aim, cheap an contact-less automatic approaches recently aroused great clinical interest. Among them, the cry and the movements of the newborn, both involving the central nervous system, are proposed as possible indicators of neurological disorders. This PhD work is a first step towards solving this challenging problem. An integrated system is presented enabling the recording of audio (crying) and video (movements) data of the newborn, their automatic analysis with innovative techniques for the extraction of clinically relevant parameters and their classification with data mining techniques. New robust algorithms were developed for the selection of the voiced parts of the cry signal, the estimation of acoustic parameters based on the wavelet transform and the analysis of the infant’s general movements (GMs) through a new body model for segmentation and 2D reconstruction. In addition to a thorough literature review this thesis presents the state of the art on these topics that shows that no studies exist concerning normative ranges for newborn infant cry in the first 6 months of life nor the correlation between cry and movements. Through the new automatic methods a population of control infants (“low-risk”, LR) was compared to a group of “high-risk” (HR) infants, i.e. siblings of children already diagnosed with ASD. A subset of LR infants clinically diagnosed as newborns with Typical Development (TD) and one affected by ASD were compared. The results show that the selected acoustic parameters allow good differentiation between the two groups. This result provides new perspectives both diagnostic and therapeutic.

Contribution of Vision and Proprioception to the Precision of Reaching Movements

Ren and colleagues (2006) found that saccades to visual targets became less accurate when somatosensory information about hand location was added, suggesting that saccades rely mainly on vision. We conducted two kinematic experiments to examine whether or not reaching movements would also show such strong reliance on vision. In Experiment 1, subjects used their dominant right hand to perform reaches, with or without a delay, to an external visual target or to their own left fingertip positioned either by the experimenter or by the participant. Unlike saccades, reaches became more accurate and precise when proprioceptive information was available. In Experiment 2, subjects reached toward external or bodily targets with differing amounts of visual information. Proprioception improved performance only when vision was limited. Our results indicate that reaching movements, unlike saccades, are improved rather than impaired by the addition of somatosensory information.

Congenital Nystagmus eye movements analysis and oculomotor system models evaluation

The term Congenital Nystagmus (Early Onset Nystagmus or Infantile Nystagmus Syndrome) refers to a pathology characterised by an involuntary movement of the eyes, which often seriously reduces a subject’s vision. Congenital Nystagmus (CN) is a specific kind of nystagmus within the wider classification of infantile nystagmus, which can be best recognized and classified by means of a combination of clinical investigations and motility analysis; in some cases, eye movement recording and analysis are indispensable for diagnosis. However, interpretation of eye movement recordings still lacks of complete reliability; hence new analysis techniques and precise identification of concise parameters directly related to visual acuity are necessary to further support physicians’ decisions. To this aim, an index computed from eye movement recordings and related to the visual acuity of a subject is proposed in this thesis. This estimator is based on two parameters: the time spent by a subject effectively viewing a target (foveation time - Tf) and the standard deviation of eye position (SDp). Moreover, since previous studies have shown that visual acuity largely depends on SDp, a data collection pilot study was also conducted with the purpose of specifically identifying eventual slow rhythmic component in the eye position and to characterise in more detail the SDp. The results are presented in this thesis. In addition, some oculomotor system models are reviewed and a new approach to those models, i.e. the recovery of periodic orbits of the oculomotor system in patients with CN, is tested on real patients data. In conclusion, the results obtained within this research consent to completely and reliably characterise the slow rhythmic component sometimes present in eye position recordings of CN subjects and to better classify the different kinds of CN waveforms. Those findings can successfully support the clinicians in therapy planning and treatment outcome evaluation.