Search Results - "Musso, F"

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  1. 1

    Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks by Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., Winterer, G.

    Published in NeuroImage (Orlando, Fla.) (01-10-2010)
    “…The brain is active even in the absence of explicit input or output as demonstrated from electrophysiological as well as imaging studies. Using a combined…”
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  2. 2

    Realistic Models of Hydroxylated Amorphous Silica Surfaces and MCM-41 Mesoporous Material Simulated by Large-scale Periodic B3LYP Calculations by Ugliengo, P., Sodupe, M., Musso, F., Bush, I. J., Orlando, R., Dovesi, R.

    Published in Advanced materials (Weinheim) (02-12-2008)
    “…Realistic models of amorphous silica surfaces with different degrees of hydroxylation and of the MCM‐41 mesoporous material are determined ab initio at the…”
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  3. 3

    Fetal head–symphysis distance: a simple and reliable ultrasound index of fetal head station in labor by Youssef, A., Maroni, E., Ragusa, A., De Musso, F., Salsi, G., Iammarino, M. T., Paccapelo, A., Rizzo, N., Pilu, G., Ghi, T.

    Published in Ultrasound in obstetrics & gynecology (01-04-2013)
    “…ABSTRACT Objectives To assess the reproducibility of measurement of a new sonographic index of fetal head station in labor, the fetal head–symphysis distance…”
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  4. 4

    Hippocampal subfields predict positive symptoms in schizophrenia: First evidence from brain morphometry by Kühn, S, Musso, F, Mobascher, A, Warbrick, T, Winterer, G, Gallinat, J

    Published in Translational psychiatry (12-06-2012)
    “…Alterations of hippocampal anatomy have been reported consistently in schizophrenia. Within the present study, we used FreeSurfer to determine hippocampal…”
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  5. 5

    The roof structure of the Men’s Oratory of the Albergo dei Poveri in Genoa by Casanova, Marta, F. Musso, Stefano, Podestà, Stefano

    Published in Tema (Ancona) (15-02-2023)
    “…The Genoese roof structures are characterized by the originality of their construction and technological solutions compared to other cultural and geographical…”
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  6. 6

    Brainstem–vermis and brainstem–tentorium angles allow accurate categorization of fetal upward rotation of cerebellar vermis by Volpe, P., Contro, E., De Musso, F., Ghi, T., Farina, A., Tempesta, A., Volpe, G., Rizzo, N., Pilu, G.

    Published in Ultrasound in obstetrics & gynecology (01-06-2012)
    “…Objective To evaluate the role of the brainstem–vermis (BV) and brainstem–tentorium (BT) angles in the differential diagnosis of upward rotation of the fetal…”
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    Fluctuations in electrodermal activity reveal variations in single trial brain responses to painful laser stimuli — A fMRI/EEG study by Mobascher, A., Brinkmeyer, J., Warbrick, T., Musso, F., Wittsack, H.J., Stoermer, R., Saleh, A., Schnitzler, A., Winterer, G.

    Published in NeuroImage (Orlando, Fla.) (01-02-2009)
    “…Pain is a complex experience with sensory, emotional and cognitive aspects. It also includes a sympathetic response that can be captured by measuring the…”
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  9. 9

    Intrapartum transperineal ultrasound assessment of fetal head progression in active second stage of labor and mode of delivery by Ghi, T., Youssef, A., Maroni, E., Arcangeli, T., De Musso, F., Bellussi, F., Nanni, M., Giorgetta, F., Morselli‐Labate, A. M., Iammarino, M. T., Paccapelo, A., Cariello, L., Rizzo, N., Pilu, G.

    Published in Ultrasound in obstetrics & gynecology (01-04-2013)
    “…ABSTRACT Objective To compare longitudinal changes in angle of progression (AoP) and midline angle (MLA) during the active second stage of labor according to…”
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  10. 10

    State of Conservation of Concrete Heritage Buildings: A European Screening by Pardo Redondo, Gabriel, Franco, Giovanna, Georgiou, Antroula, Ioannou, Ioannis, Lubelli, Barbara, Musso, Stefano F., Naldini, Silvia, Nunes, Cristiana, Vecchiattini, Rita

    Published in Infrastructures (Basel) (01-08-2021)
    “…Historic concrete buildings are at risk. Limited knowledge of concrete technology until the 1960s led to more sensitive buildings than modern concrete…”
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  11. 11

    Open fourth ventricle prior to 20 weeks' gestation: a benign finding? by Contro, E., Volpe, P., De Musso, F., Muto, B., Ghi, T., De Robertis, V., Pilu, G.

    Published in Ultrasound in obstetrics & gynecology (01-02-2014)
    “…ABSTRACT Objective To evaluate the role of the brainstem–vermis (BV) angle in the diagnosis of fetal posterior fossa abnormalities at 15–18 weeks' gestation…”
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  12. 12

    Predicting Effortful Control at 3 Years of Age from Measures of Attention and Home Environment in Infancy: A Machine Learning Approach by Musso, Mariel F, Moyano, Sebastián, Rico-Picó, Josué, Conejero, Ángela, Ballesteros-Duperón, M Ángeles, Cascallar, Eduardo C, Rueda, M Rosario

    Published in Children (Basel) (31-05-2023)
    “…Effortful control (EC) is a dimension of temperament that encompass individual differences in self-regulation and the control of reactivity. Much research…”
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  13. 13

    Laser-evoked potential P2 single-trial amplitudes covary with the fMRI BOLD response in the medial pain system and interconnected subcortical structures by Mobascher, A., Brinkmeyer, J., Warbrick, T., Musso, F., Wittsack, H.J., Saleh, A., Schnitzler, A., Winterer, G.

    Published in NeuroImage (Orlando, Fla.) (15-04-2009)
    “…Pain is a complex experience with sensory, emotional and cognitive aspects. The cortical representation of pain – the pain matrix – consists of a network of…”
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  14. 14

    Predicting attribution of letter writing performance in secondary school: A machine learning approach by Boekaerts, Monique, Musso, Mariel F., Cascallar, Eduardo C.

    Published in Frontiers in education (Lausanne) (23-11-2022)
    “…The learning research literature has identified the complex and multidimensional nature of learning tasks, involving not only (meta) cognitive processes but…”
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  15. 15

    Investigation of decision-making under uncertainty in healthy subjects: A multi-centric fMRI study by Krug, A., Cabanis, M., Pyka, M., Pauly, K., Walter, H., Landsberg, M., Shah, N. Jon, Winterer, G., Wölwer, W., Musso, F., Müller, B.W., Wiedemann, G., Herrlich, J., Schnell, K., Vogeley, K., Schilbach, L., Langohr, K., Rapp, A., Klingberg, S., Kircher, T.

    Published in Behavioural brain research (15-03-2014)
    “…•Sixty-four healthy subjects in a multi-centric fMRI study.•Information gathering was correlated with a network of prefrontal and parietal cortex.•Reaching a…”
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  16. 16

    Predicting general academic performance and identifying the differential contribution of participating variables using artificial neural networks by Musso, Mariel F., Kyndt, Eva, Cascallar, Eduardo C., Dochy, Filip

    Published in Frontline learning research (26-08-2013)
    “…Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These…”
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  17. 17

    Single-trial P3 amplitude and latency informed event-related fMRI models yield different BOLD response patterns to a target detection task by Warbrick, T., Mobascher, A., Brinkmeyer, J., Musso, F., Richter, N., Stoecker, T., Fink, G.R., Shah, N.J., Winterer, G.

    Published in NeuroImage (Orlando, Fla.) (01-10-2009)
    “…Using single-trial parameters as a regressor in the General Linear Model (GLM) is becoming an increasingly popular method for informing fMRI analysis. However,…”
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  18. 18

    Identifying Reliable Predictors of Educational Outcomes Through Machine-Learning Predictive Modeling by Musso, Mariel F., Cascallar, Eduardo C., Bostani, Neda, Crawford, Michael

    Published in Frontiers in education (Lausanne) (16-07-2020)
    “…Results-based financing has guided the development of policies with measurable results improving learning outcomes at micro/macro levels. However, it is then…”
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  19. 19

    Predicting key educational outcomes in academic trajectories: a machine-learning approach by Musso, Mariel F., Hernández, Carlos Felipe Rodríguez, Cascallar, Eduardo C.

    Published in Higher education (01-11-2020)
    “…Predicting and understanding different key outcomes in a student’s academic trajectory such as grade point average, academic retention, and degree completion…”
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  20. 20

    Brain activation patterns underlying fast habituation to painful laser stimuli by Mobascher, A., Brinkmeyer, J., Warbrick, T., Musso, F., Schlemper, V., Wittsack, H.J., Saleh, A., Schnitzler, A., Winterer, G.

    “…A painful experience is modified by processes like habituation/antinociception or sensitization. Altered habituation may be one characteristic of chronic pain…”
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