2010 Dottorato di ricerca (Ph.D.) in Ingegneria Biomedica, presso la School of Biomedical Engineering, Science and Health Systems Drexel University, Philadelphia, USA(12/06/2010)
2004 Laurea vecchio ordinamento in Ingegneria Biomedica, Politecnico di Milano, Milano, Italia (23/07/2004)
Titolo tesi: Information Encoding and Decoding in the Mammalian Cerebral Cortex
2023-Oggi Ricercatore a Tempo Determinato di tipo A presso il dipartimento di Fisica e Astronomia dell’Universita’ degli studi di Firenze.
2021-2023 Assegnista di ricerca. “Esplorazione della rappresentazione globale della navigazione spaziale tramite un microscopio a campo largo in topi liberi di esplorare l’ambiente”. Neuroimage group, Dipartimento di Fisica e Astronomia, Universita’ di Firenze
2018-2020 Assegnista di ricerca. Progetto di ricerca: Brain-to-brain transfer of patterns of neuronal activity: identification of invariants for shaping successful motor recovery in stroke mice. Neuroimage group, Dipartimento di Fisica e Astronomia, Universita’ di Firenze
2016-2017 Ricercatore (Research Fellow). Progetto di ricerca: A platform for imaging neuronal activity in head-fixed mice using miniature microscope. Presso il Laboratory of Behavioral Neuroscience, National Institute on Aging / NIH.
2011-2016 Ricercatore (Visiting Fellow). Progetto di ricerca: Optogenetic dissection of motivational salience neuronal circuit in the Basal Forebrain. Presso il Laboratory of Behavioral Neuroscience, National Institute on Aging / NIH.
2010-2011 Ricercatore (Post-doctoral research associate). Progetto di ricerca: Role of spike count and spike timing in awake freely moving rats during different behavioral states. Presso la School of Biomedical Engineering, Health and Science Systems. Drexel University, Philadelphia, PA USA
2007-2010 Dottorando (Research Assistant). Progetto di ricerca: Information theoretic methods for the study of the role of variability in information encoding by ensemble of neurons. Presso la School of Biomedical Engineering, Science and Health Systems. Drexel University, Philadelphia, PA USA. Drexel University, Philadelphia, PA USA
May-June 2008 Dottorando (Visiting Researcher). Progetto di ricerca: Role of trial-to-trial variability in the encoding of stimulus location in the rat VPM thalamus. Neurosignals Group, Hospital Nacional de Parapléjicos, SESCAM, Finca La Peraleda s/n, 45071 Toledo, Spain.
2004-2007 Dottorando (Graduate Assistant). Progetto di ricerca: Activity of the thalamic reticular nucleus during different behavioral states. School of Biomedical Engineering, Science and Health Systems. Drexel University, Philadelphia, PA USA
Resta, F., Montagni, E., de Vito, G., Scaglione, A., Mascaro, A. L. A., & Pavone, F. S. (2022). Large-scale all-optical dissection of motor cortex connectivity reveals a segregated functional organization of mouse forelimb representations. Cell Reports, in press.
Kreuz, T., Senocrate, F., Cecchini, G., Checcucci, C., Mascaro, A. L. A., Conti, E., Scaglione, A., et al. (2022). Latency correction in sparse neuronal spike trains. Journal of neuroscience methods, 381, 109703.
Scaglione, A., Conti, E., Allegra Mascaro, A. L., & Pavone, F. S. (2022). Tracking the Effect of Therapy With Single-Trial Based Classification After Stroke. Frontiers in systems neuroscience, 16, 840922.
Quarta, E., Scaglione, A., Lucchesi, J., Sacconi, L., Allegra Mascaro, A. L., & Pavone, F. S. (2021). Distributed and localized dynamics emerge in the mouse neocortex during reach-to-grasp behavior. The Journal of neuroscience: the official journal of the Society for Neuroscience. Retrieved from http://dx.doi.org/10.1523/JNEUROSCI.0762-20.2021 [co-first author]
Cecchini, G., Scaglione, A., Allegra Mascaro, A. L., Checcucci, C., Conti, E., Adam, I., Fanelli, D., et al. (2021). Cortical propagation tracks functional recovery after stroke. PLoS computational biology, 17(5), e1008963. [co-first author]
Conti, E., Scaglione, A., de Vito, G., Calugi, F., Pasquini, M., Pizzorusso, T., Micera, S., et al. (2021). Combining Optogenetic Stimulation and Motor Training Improves Functional Recovery and Perilesional Cortical Activity. Neurorehabilitation and neural repair, 15459683211056656.
Adam, I., Cecchini, G., Fanelli, D., Kreuz, T., Livi, R., Volo, M. di, Allegra Mascaro, A. L., Conti, E., Scaglione, A., Silvestri, L., & Pavone, F.S. (2020). Inferring network structure and local dynamics from neuronal patterns with quenched disorder. Chaos, Solitons & Fractals, 140, 110235. Elsevier.
Allegra Mascaro, A. L., Conti, E., Lai, S., Di Giovanna, A. P., Spalletti, C., Alia, C., Panarese, A., Scaglione, A., Sacconi, L., Micera, S., Caleo, M., & Pavone, F.S (2019). Combined Rehabilitation Promotes the Recovery of Structural and Functional Features of Healthy Neuronal Networks after Stroke. Cell reports, 28(13), 3474–3485.e6.
Zanettini, C., Scaglione, A., Keighron, J. D., Giancola, J. B., Lin, S.-C., Newman, A. H., & Tanda, G. (2019). Pharmacological classification of centrally acting drugs using EEG in freely moving rats: an old tool to identify new atypical dopamine uptake inhibitors. Neuropharmacology, 161, 107446.
Montagni, E., Resta, F., Conti, E., Scaglione, A., Pasquini, M., Micera, S., Mascaro, A. L. A., et al. (2018). Wide-field imaging of cortical neuronal activity with red-shifted functional indicators during motor task execution. Journal of physics D: Applied physics. IOP Publishing. Retrieved December 5, 2018,
Liu, C., Foffani, G., Scaglione, A., Aguilar, J., & Moxon, K. A. (2017). Adaptation of Thalamic Neurons Provides Information about the Spatiotemporal Context of Stimulus History. The Journal of neuroscience: the official journal of the Society for Neuroscience, 37(41), 10012–10021.
Scaglione, A., Foffani, G., & Moxon, K. A. (2014). Spike count, spike timing and temporal information in the cortex of awake, freely moving rats. Journal of Neural Engineering, 11(4), 046022.
Scaglione, A., Moxon, K. a, Aguilar, J., & Foffani, G. (2011). Trial-to-trial variability in the responses of neurons carries information about stimulus location in the rat whisker thalamus. Proceedings of the National Academy of Sciences of the United States of America, 108(36), 14956–61.
Scaglione, A., Moxon, K. A., & Foffani, G. (2010). General Poisson exact breakdown of the mutual information to study the role of correlations in populations of neurons. Neural Comput, 22(6), 1445-1467.
Scaglione, A., Foffani, G., Scannella, G., Cerutti, S., & Moxon, K. A. (2008). Mutual information expansion for studying the role of correlations in population codes: how important are autocorrelations? Neural Comput, 20(11), 2662-2695.
Elena Montagni, Francesco Resta, Giuseppe de Vito, Alessandro Scaglione, Anna Letizia Allegra Mascaro, and Francesco Saverio Pavone (2020). Movement-specific patterns of cortical activation revelated by in vivo all-optical imaging and manipulation of neuronal activity in the motor cortex (Conference Presentation), Proc. SPIE 11360, Neurophotonics, 1136007 (1 April 2020).
Francesco Resta, Anna Letizia Allegra Mascaro, Elena Montagni, Giuseppe de Vito, Alessandro Scaglione, and Francesco Saverio Pavone (2020). Mesoscale imaging of neuronal activity coupled with light-evoked motor mapping reveal movement-specific spatiotemporal patterns of cortical activation in awake mice, Proc. SPIE 11226, Neural Imaging and Sensing 2020, 112260I.
Scaglione, A., Conti, E., Mascaro, A. L. A., Pavone, F.S (2019). Spatiotemporal features of large scale motor-evoked calcium activity patterns, SFN Annual Meeting, Chicago, IL, USA
Emilia Conti, Anna Letizia Allegra Mascaro, Francesco Resta, Alessandro Scaglione, Maria Pasquini, Silvestro Micera, and Francesco S. Pavone (2019). Combined rehabilitation promotes recovery of motor functionality in a mouse model of stroke, Proc. SPIE 10865, Neural Imaging and Sensing 2019, 108650R
Francesco Resta, Elena Montagni, Giuseppe De Vito, Alessandro Scaglione, Anna Letizia Allegra Mascaro, and Francesco Saverio Pavone (2019). Full-optical stimulation and readout of neuronal activity during optogenetically-evoked movements in awake mice, Proc. SPIE 11076, Advances in Microscopic Imaging II, 1107609.
Zanettini, C., Scaglione A., Keighron, J., Lin, S.C., Newman, A.H., Tanda, G. (2017). Characterization of the effects of typical and atypical dopamine uptake inhibitors and other centrally acting drugs on the ElectroEncephaloGram of freely moving rats, SFN Annual Meeting, Washington, DC, USA.
Hunt, J.B., Scaglione A., Lin, S.C. (2017). A platform for imaging neuronal activity in head-fixed mice using miniature microscope, NIA Retreat, Baltimore MD.
Scaglione, A., Liang, J., Lin, S.C. (2016). Optogenetic dissection of basal forebrain neuronal circuitry reveals GABAergic identity of salience-encoding neurons, SFN Annual Meeting, San Diego, IL, USA.
Scaglione, A., Greenfield, R., Lin, S.C. (2015). Optogenetic dissection of motivational salience neuronal circuits in the basal forebrain, SFN Annual Meeting, Chicago, IL, USA.
Scaglione, A., Greenfield, R., Lin, S.C. (2014). Optogenetic investigation of basal forebrain neuronal circuits in freely moving mice in operant chambers, SFN Annual Meeting, Washington DC, USA.
Scaglione, A., Moxon, K. A., Aguilar, J., Foffani, G. (2011). Trial-to-trial variability and the encoding of stimulus location in the rat whisker thalamus: an information theoretic study, SFN Annual Meeting, Washington, DC, USA.
Scaglione, A., Foffani, G., Aguilar, J., Moxon, K. A. (2010). Assessing the functional role of variability in the encoding of stimulus location in the VPM thalamus, SFN Annual Meeting, San Diego, CA, USA.
Scaglione, A., Moxon, K. A., Aguilar, J., Foffani, G. (2010). Encoding of stimulus location by (population) pairs of neurons in the rat VPM Thalamus: role of auto-correlations, The Neural Basis of Vibrissa-Based Tactile Sensation, Janelia Farm, Ashburn, VA, USA
Scaglione, A., Moxon, K. A., Aguilar, J., Foffani, G. (2009). Spike correlations within neurons and redundancy between neurons for encoding stimulus location in the rat VPM thalamus, SFN Annual Meeting, Chicago, IL, USA.
Scaglione, A., Foffani, G., Scannella, G., Ceruti, S., Moxon, K. A., (2008). Mutual information expansion for studying the role of correlations in population codes: how important are auto-correlations?, SFN Annual Meeting, Washington DC, USA.
Scaglione, A., Foffani, G., Scannella, G., Ceruti, S., Moxon, K. A., (2007). Comparison of different methods of mutual information expansion to study the role of correlations in population coding, SFN Annual Meeting, San Diego, CA, USA.
Moxon, K. A., & Scaglione, A. (2007). Natural Whisking increases the activity of neurons in the rat thalamic reticular nucleus, SFN Annual Meeting, San Diego, CA, USA.
Morales Botello, M., Aguilar, J., Scaglione, A., Moxon, K. A., Foffani, G. (2007). Synergy, redundancy and independence in population codes from the perspective of a downstream neuron, SFN Annual Meeting, San Diego, CA, USA.
Scaglione, A., & Moxon, K. A. (2007). Effect of serotonin (5-HT) on sensory information conveyed by populations of single neurons, BMES Annual Fall Meeting, Los Angeles, CA, USA
Scaglione, A., & Moxon, K. A. (2006). Behaviorally modulated filter model for the thalamic reticular nucleus. Conf Proc IEEE Eng Med Biol Soc, 1, 595-598.
(2022). Social Interaction Enhances Inter-Brain Synchrony, (Oral Communication), Innovative Multidisciplinary Approaches To Human Health And Social Well Being, September 6, Newe-Shalom, Israel
(2017). The encoding of temporal expectation by reward prediction error in the basal forebrain, (Oral Communication - TED talk format), NIA Retreat, Baltimore MD, USA
(2016). Optogenetic dissection of motivational salience neuronal circuits in the basal forebrain, (Oral Communication - TED talk format) NIA Retreat, Baltimore MD, USA
(2011) Information theoretic methods to study neuronal encoding mechanisms: role of trial-to-trial variability and influence of behavioral states. Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, USA
(2011) Information theoretic methods to study neuronal encoding mechanisms: role of trial-to-trial variability and influence of behavioral states. National Institute on Aging, National Institute of Health, Baltimore, MD, USA
IEEE Transaction on Information Theory
Frontiers in Neuroscience Methods
IEEE EMBS Annual Meeting
IEEE EMBS Conference on Neural Engineering
Nature Communications
Society for Neuroscience (SFN)
Biomedical Engineering Society (BMES)
Institute of Electrical and Electronics Engineers (IEEE)
2021-Oggi Docente del corso “Python for Data Analysis” per gli studenti di dottorato del Laboratorio Europeo di Spettroscopia non Lineare, Sesto Fiorentino, FI, Italia
2011 Docente del corso di “Neural Signals”, Drexel University, Philadelphia PA (USA).
2007-2010 Assistente per il corso “Neural signals”, Drexel University, Philadelphia PA (USA).
2006 Assistente per il corso di “Principles of Biomedical Engineering”, Drexel University, Philadelphia PA (USA).
2006 Assistente per il corso di “Biosimulation II”, Drexel University, Philadelphia PA (USA)
2006 Assistente per il corso di “Biosimulation I”, Drexel University, Philadelphia PA (USA).
2005 Assistente per il corso di Senior Design, Drexel University, Philadelphia PA (USA).
2004-2005 Calhoun Fellowship, awarded by the School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia PA (USA).
2009 Honorable mention in Computation, Modeling, & Simulation (Biological) – Graduate, School of Biomedical Engineering, Science and Health Systems: General Poisson exact breakdown of the mutual information to study the role of correlations in populations of neurons
2014 2nd placed poster award at Greater Baltimore Chapter of Society for Neuroscience (GBSFN) Meeting in Baltimore, November 2014: Optogenetic investigation of basal forebrain neuronal circuits in freely moving mice in operant chambers
Il suo interesse principale sono le neuroscienze in particolare nello studio dei circuiti neurali alla base del comportamento. Per questo ha sviluppato strumenti computazionali per studiare come le informazioni vengono codificate nel cervello sia al livello del singolo neurone sia a livello delle reti di neuroni. Negli ultimi anni si è interessato alla ricerca dei correlati neurali delle interazioni sociali negli animali svegli che si muovono liberamente. A questo scopo sta sviluppando strumenti miniaturizzati per monitorare l'attività neurale in animali svegli e liberi di muoversi. L'obiettivo principale è sviluppare un modello di interazione sociale in grado di ricapitolare i risultati riscontrati negli studi sull'uomo negli studi con hyperscanning. Per questo motivo, è anche attivamente coinvolto nel gruppo di rilevamento umano per studiare l'effetto dell'interazione sociale negli esseri umani e come questa modula le funzioni cognitive superiori e come si correla con altri biosegnali provenienti dal sistema nervoso autonomo. Alessandro ha un dottorato di ricerca. in ingegneria biomedica presso la Drexel University, Philadelphia PA, dove ha appreso le registrazioni extracellulari in animali svegli che si muovono liberamente e ha sviluppato un quadro teorico basato sulle informazioni reciproche di Shannon per quantificare e separare la quantità di informazioni trasportate dai neuroni in risposta agli stimoli somatosensoriali. Successivamente ha lavorato presso il National Institute of Health dove ha imparato l'optogenetica in animali svegli che si muovono liberamente in un compito go/no go in cui ha sviluppato una struttura per identificare i neuroni del prosencefalo basale correlati alla salienza. Dal 2018 è entrato a far parte del gruppo di neurofotonica del LENS dove ha appreso metodi di neuroimaging per monitorare l'attività neurale su quasi l'intero mantello corticale in animali svegli e/o che si muovono liberamente. Ha sviluppato strumenti computazionali e dispositivi miniaturizzati per analizzare i dati di neuroimaging. Sta anche collaborando attivamente con altri membri del gruppo di neurofotonica per fornire aiuto nell'analisi e nella modellazione dei dati.
Legenda
2010 Ph.D. in Biomedical Engineering, School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, USA (12/06/2010).
2004 Master Degree in Biomedical Engineering, Politecnico di Milano, Milan, Italy (23/07/2004)
2023-Present Researcher (Fixed-Term Type A). Department of Physics and Astronomy, University of Florence, Italy.
2021-2023 Research Fellow. "Exploration of global representation of spatial navigation using a wide-field microscope in freely exploring mice," Neuroimage group, Department of Physics and Astronomy, University of Florence, Italy.
2018-2020 Research Fellow. Project: "Brain-to-brain transfer of patterns of neuronal activity: identification of invariants for shaping successful motor recovery in stroke mice," Neuroimage group, Department of Physics and Astronomy, University of Florence, Italy.
2016-2017 Researcher (Research Fellow). Project: "A platform for imaging neuronal activity in head-fixed mice using a miniature microscope," Laboratory of Behavioral Neuroscience, National Institute on Aging / NIH.
2011-2016 Researcher (Visiting Fellow). Project: "Optogenetic dissection of motivational salience neuronal circuit in the Basal Forebrain," Laboratory of Behavioral Neuroscience, National Institute on Aging / NIH.
2010-2011 Researcher (Post-doctoral research associate). Project: "Role of spike count and spike timing in awake freely moving rats during different behavioral states," School of Biomedical Engineering, Health and Science Systems, Drexel University, Philadelphia, PA, USA.
2007-2010 Research Assistant (Doctoral Candidate), Project: "Information theoretic methods for the study of the role of variability in information encoding by ensemble of neurons," School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
May-June 2008 Visiting Researcher (Doctoral Candidate). Project: "Role of trial-to-trial variability in the encoding of stimulus location in the rat VPM thalamus," Neurosignals Group, Hospital Nacional de Parapléjicos, SESCAM, Toledo, Spain.
2004-2007 Graduate Assistant (Doctoral Candidate). Project: "Activity of the thalamic reticular nucleus during different behavioral states," School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
2021-Oggi Lecturer. "Python for Data Analysis" for doctoral students at the European Laboratory of Nonlinear Spectroscopy, Sesto Fiorentino, FI, Italy.
2011 Lecturer. “Neural Signals”, Drexel University, Philadelphia PA (USA).
2007-2010 Teaching Assistant. “Neural signals”, Drexel University, Philadelphia PA (USA).
2006 Teaching Assistant. “Principles of Biomedical Engineering”, Drexel University, Philadelphia PA (USA).
2006 Teaching Assistant. “Biosimulation II”, Drexel University, Philadelphia PA (USA)
2006 Teaching Assistant. “Biosimulation I”, Drexel University, Philadelphia PA (USA).
2005 Teaching Assistant. "Senior Design", Drexel University, Philadelphia PA (USA).
His main interest lies in neuroscience especially in the study of neural circuits underlying behavior. For this he has developed computational tools to study how information is encoded in the brains from single to network of networks of neurons in awake and behaving animals. In recent years he is interested in finding neural correlates of social interactions in the awake freely moving animals. To this aim he is developing miniaturized tools to monitor neural activity using lights in awake freely moving animals. The main objective is to develop a model of social interaction that can recapitulate the findings that are found in human studies in hyperscanning studies. For this reason, he is also actively involved in the human sensing group to study the effect of social interaction in humans and how this modulates higher cognitive functions and how this correlates with other biosignals in from the autonomic nervous system. Alessandro has a Ph.D. in biomedical engineering from Drexel University, Philadelphia PA where he learned extracellular recordings in awake freely moving animals and developed a theoretical framework based on Shannon mutual information to quantify and separate the amount of information carried by neurons in response to somatosensory stimuli. He subsequently worked at the National Institute of Health where he learned optogenetics in awake freely moving animals in a go/no go task where he developed a framework to identify basal forebrain neurons related to salience. Since 2018 he has joined the neurophotonics group at LENS where he has learned neuroimaging methods to monitor neural activity over almost the entire cortical mantle in awake behaving and/or freely moving animals. He has developed computational tools and miniaturized devices to analyze the neuroimaging data. He is also actively collaborating with other members of the neurophotonics group to provide aid in data analysis and modeling.