Automatic analysis of speech F0 contour for the characterization of mood changes in bipolar patients

da inserireBipolar disorders are characterized by a mood swing, ranging from mania to depression. A system that could monitor and eventually predict these changes would be useful to improve therapy and avoid dangerous events. Speech might convey relevant information about subjects' mood and there is a growing interest to study its changes in presence of mood disorders. In this work we present an automatic method to characterize fundamental frequency (F0) dynamics in voiced part of syllables. The method performs a segmentation of voiced sounds from running speech samples and estimates two categories of features. The first category is borrowed from Taylor's Tilt intonational model. However, the meaning of the proposed features is different from the meaning of Taylor's ones since the former are estimated from all voiced segments without performing any analysis of intonation. A second category of features takes into account the speed of change of F0. In this work, the proposed features are first estimated from an emotional speech database. Then, an analysis on speech samples acquired from eleven psychiatric patients experiencing different mood states, and eighteen healthy control subjects is introduced. Subjects had to perform a text reading task and a picture commenting task. The results of the analysis on the emotional speech database indicate that the proposed features can discriminate between high and low arousal emotions. This was verified both at single subject and group level. An intra-subject analysis was performed on bipolar patients and it highlighted significant changes of the features with different mood states, although this was not observed for all the subjects. The directions of the changes estimated for different patients experiencing the same mood swing, were not coherent and were task-dependent. Interestingly, a single-subject analysis performed on healthy controls and on bipolar patients recorded twice with the same mood label, resulted in a very small number of significant differences. In particular a very good specificity was highlighted for the Taylor-inspired features and for a subset of the second category of features, thus strengthening the significance of the results obtained with patients. Even if the number of enrolled patients is small, this work suggests that the proposed features might give a relevant contribution to the demanding research field of speech-based mood classifiers. Moreover, the results here presented indicate that a model of speech changes in bipolar patients might be subject-specific and that a richer characterization of subject status could be necessary to explain the observed variability

Human body odors of happiness and fear modulate the late positive potential component during neutral face processing: a preliminary ERP study on healthy subjects

Human body odors (HBOs) are powerful stimuli that can affect emotional, cognitive and behavioral processes. However, the characterization of the physiological response to HBOs is still to be fully investigated. Here, we analyzed the self-assessed emotion perception and the EEG event-related potentials (ERP) on 17 healthy young women during a simultaneous visual-olfactory stimulation. Particularly, we evaluated the effect of happiness and fear HBO on the amplitude of ERP waveforms elicited by neutral face processing. In addition, we evaluated the subjective valence and arousal perception of the presented neutral faces by means of the self-assessment-manikin test. We observed a significant increase in the amplitude of the late positive potential (LPP) for central left sites (i.e., C3) during the administration of HBOs with respect to clean air. On the other hand, we did not observe any significant change in the subjective valence and arousal scores as well as for the early components of the ERP (i.e., P100, N170, Vertex-Positive-Potential). Our preliminary results suggest that fear and happiness HBO can induce a protracted increase in the LPP, and possibly reflect an automatic and sustained engagement with emotionally significant content

Spatiotemporal dynamics of single-letter reading: a combined ERP-FMRI study

This work investigates the neural correlates of single-letter reading by combining event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI), thus exploiting their complementary spatiotemporal resolutions. Three externally-paced reading tasks were administered with an event-related design: passive observation of letters and symbols and active reading aloud of letters. ERP and fMRI data were separately recorded from 8 healthy adults during the same experimental conditions. Due to the presence of artifacts in the EEG signals, two subjects were discarded from further analysis. Independent Component Analysis was applied to ERPs, after dimensionality reduction by Principal Component Analysis: some independent components were clearly related to specific reading functions and the associated current density distributions in the brain were estimated with Low Resolution Electromagnetic Tomography Analysis method (LORETA). The impulse hemodynamic response function was modeled as a linear combination of linear B-spline functions and fMRI statistical analysis was performed by multiple linear regression. fMRI and LORETA maps were superimposed in order to identify the overlapping activations and the activated regions specifically revealed by each modality. The results showed the existence of neuronal networks functionally specific for letter processing and for explicit verbal-motor articulation, including the temporo-parietal and frontal regions. Overlap between fMRI and LORETA results was observed in the inferior temporal-middle occipital gyrus, suggesting that this area has a crucial and multifunctional role for linguistic and reading processes, likely because its spatial location and strong interconnection with the main visual and auditory sensory systems may have favored its specialization in grapheme-phoneme matching

The Effect of Visual Experience on the Development of Functional Architecture in hMT+

We investigated whether the visual hMT+ cortex plays a role in supramodal representation of sensory flow, not mediated by visual mental imagery. We used functional magnetic resonance imaging to measure neural activity in sighted and congenitally blind individuals during passive perception of optic and tactile flows. Visual motion–responsive cortex, including hMT+, was identified in the lateral occipital and inferior temporal cortices of the sighted subjects by response to optic flow. Tactile flow perception in sighted subjects activated the more anterior part of these cortical regions but deactivated the more posterior part. By contrast, perception of tactile flow in blind subjects activated the full extent, including the more posterior part. These results demonstrate that activation of hMT+ and surrounding cortex by tactile flow is not mediated by visual mental imagery and that the functional organization of hMT+ can develop to subserve tactile flow perception in the absence of any visual experience. Moreover, visual experience leads to a segregation of the motion-responsive occipitotemporal cortex into an anterior subregion involved in the representation of both optic and tactile flows and a posterior subregion that processes optic flow only

The challenge of sustainability in healthcare systems: Frequency and cost of inappropriate patterns of breast cancer care (the E.Pic.A study).

Abstract Objectives In a context of decreasing economic health resources and a rise in health needs, it is urgent to face this sustainability crisis through the analysis of healthcare expenditures. Wastages, deriving from inappropriate interventions, erode resources which could be reallocated to high-value activities. To identify these areas of wastages, we developed a method for combining and analyzing data from multiple sources. Here we report the preliminary results of a retrospective cohort study evaluating the performance of breast cancer (BC) care at IRST, an Italian cancer institute. Materials and methods Four data sources gathered in a real-world setting (a clinical database, two administrative databases and a cancer registry) were linked. Essential Key Performance Indexes (KPIs) in the pattern of BC diagnosis (KPI 1 and 2) and treatment (KPI 3 and 4) based on current guidelines were developed by a board of professionals. The costs of inappropriate examinations were associated with the diagnostic KPIs. Results We found that 2798 patients treated at IRST from January 2010 to June 2016 received a total of 2516 inappropriate examinations accounting for € 573,510.80. Linkage from multiple routine healthcare data sources is feasible: it allows the measurement of important KPIs specifically designed for BC care, and the identification of areas of low-value use of the resources. Conclusion If systematically applied, this method could help provide a complete picture of inappropriateness and waste, redirect these resources to higher-value interventions for patients, and fill the gap between proper use of the resources and the best clinical results

The EXPERIENCE Project: Automatic virtualization of "extended personal reality" through biomedical signal processing and explainable artificial intelligence [Applications Corner]

[EN] The transformation of communication media has revolutionized social interactions, incorporating audio and video into our lives. Despite the recent availability of virtual reality (VR) technology, its widespread adoption faces obstacles. Technological challenges in creating VR environments and scientific confounding concerning interindividual variability in responses to virtual simulations are key factors hindering its broader integration. The EXPERIENCE project makes real the complex interplay among multisensory perception, emotional responses, and extended social interactions by allowing the public-at-large to create their own VR environments automatically through portable devices (e.g., smartphones/tablets) without the need for technical skills. The VR environment augmented by an individual's physiological responses, psychological and cognitive descriptors, and behavioral outcomes defines the individual's subjective experience, namely, an individual's extended personal reality (EPR). The virtualization of a person's EPR provides a holistic and quantitative environment that can be shared with others to transfer personalized psychological and emotional responses. Additionally, EPR assessment enables subsequent manipulation of the VR through explainable artificial intelligence (AI) routines merging multisensory biofeedback, individualized perception of time-space, and neuromodulation. This technology can be exploited in a plethora of innovative scenarios, including mental healthcare, gaming, e-learning, and neuroeconomics, also leading to the creation of a new market for sharing and selling (virtual) experiences.The EXPERIENCE project has received funding from the European Commission Horizon 2020 Research and Innovation Program under Grant Agreement 101017727. The EXPERIENCE project is part of the crossproject collaboration SECTG comprising the SONICOM project [16], the CAROUSE L proje ct , the TOUCHLESS project, and the GUESTXR project. Gaetano Valenza is the corresponding author.Valenza, G.; Alcañiz Raya, ML.; Carli, V.; Dudnik, G.; Gentili, C.; Provinciale, JG.; Rossi, S.... (2024). The EXPERIENCE Project: Automatic virtualization of "extended personal reality" through biomedical signal processing and explainable artificial intelligence [Applications Corner]. IEEE Signal Processing Magazine. 41(1):60-66. https://doi.org/10.1109/MSP.2023.3344430606641

Real-world treatment patterns for metastatic non-small cell lung cancer at IRST Italy

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Chemotherapy and palliative care near end-of life: Examining the appropriateness at a cancer institute for colorectal cancer patients

Background: Appropriate cessation of chemotherapy and timely referral of patients to hospice services are crucial for the quality of care near death. We investigated the quality of care in our Cancer Institute in very advanced metastatic colorectal cancer patients treated in real life. Patients and Methods: We performed a retrospective analysis of electronic medical data of patients with metastatic colorectal cancer who were candidates for chemotherapy during the study period (1 January 2007-30 June 2014) and died before 31 December 2014. Quality-of-cancer-care indicators were calculated for the overuse of chemotherapy and referral to hospice. Predictive factors of chemotherapy discontinuation and hospice referral in end-of life care were investigated using parametric and nonparametric methods. Results: Of the 365 patients who died before 31 December 2014, 26 (7.1%) received chemotherapy in the last 14 days of life and 36 (9.8%) started a new chemotherapy regimen in the last 30 days of life. Factors associated with the overuse of chemotherapy were being < 70 years of age for both indicators and not having received advanced chemotherapy treatments for the former indicator. The majority of patients (74.7%) had access to hospice services, of whom only a small percentage (7.2%) accessed them very near to death. Conclusions: According to the criteria used, our Institute provides a good quality of cancer care for dying colorectal cancer patients, measured by the use of chemotherapy and referral to hospice in their last days of life

Multi-modal sensing in spin crossover compounds

We exploited the solvatochromic spin-state switching in a spin crossover (SCO) compound based on the Fe-II complex and the simultaneous change of spectroscopic properties for selective multimodal sensing of methanol and ethanol. We demonstrate that sensing capabilities are due to the inclusion of methanol or ethanol molecules into the crystalline structure, which tailors simultaneously the transition temperature, colour, birefringence and vibrational modes. We exploited this capability by integrating a neutral compound, switchable at room temperature, into a micrometric TAG sensitive to the colour and birefringence. The system was characterised by optical microscopy, magnetic susceptibility, Raman spectroscopy and X-ray diffraction