Dr Camillo Porcaro PhD

Dr Camillo Porcaro

School of Psychology
Honorary Senior Research Fellow

Contact details

Address
School of Psychology
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Camillo Porcaro is a computational neuroscientist with a core interest in the development of analytical methods for extracting information from non-invasive measures of brain activity. His research focuses on identifying functional brain sources from data obtained through neuroimaging techniques.

View Dr Porcaro's Google Scholar page

Qualifications

2004-2008

Ph.D, “Functional Neuroimaging: from cells to systems”. Institute for Advanced Biomedical Technologies (ITAB), Chieti University, Italy (with honours). “Development of Tools to Estimate Functional Connectivity among Cerebral Sensorimotor Sources”.

2001-2004

Master II Level, "Bank, Insurance and Finance Management". Faculty of Economics of the University of Rome "La Sapienza", Italy. “Applying Independent Component Analysis to Factor Model in Finance”. 

1995-2001

Ms Computer Science, Faculty of Science, Mathematics, Physics and Natural of the University of Rome "La Sapienza”, Italy. In collaboration with ISTC-National Research Council (CNR) at the Fatebenefratelli Hospital (Isola Tiberina, Rome, Italy). Dissertation in: Coherence analysis of bio-electrical signals.

Biography

Dr Camillo Porcaro is a computational neuroscientist with a core interest in the development of analytical methods for extracting information from non-invasive measures of brain activity. His research focuses on identifying functional brain sources from data obtained through neuroimaging techniques.

In 2008, he defended his PhD dissertation with honors in 'Functional Neuroimaging: from cells to systems' at the Institute for Advanced Biomedical Technologies (ITAB), University of Chieti, Italy. In the same year, Dr Porcaro became a Postdoctoral Fellow at the University of Birmingham, School of Psychology, using simultaneous EEG/fMRI. In 2011, he joined the Institute of Neuroscience, Newcastle University, after being awarded a highly competitive independent research position. 

Since 2012, he has been an Independent Researcher at the Institute of Cognitive Sciences and Technologies (ISTC) - National Research Council (CNR), Rome, Italy. In 2014 and 2015, he was invited as Visiting Professor at Neural Control of Movement Lab, Department of Health Sciences and Technology ETH, Zurich, Switzerland. Since 2015, Dr Porcaro has been Adjunct Professor at Department of Information Engineering – Università Politecnica delle Marche, Ancona (professor of Bio-imaging and Brain Research at the department of Biomedical Engineering). Additionally, since 2016, he has been Visiting Professor at Department of Human Kinesiology, Movement Control & Neuroplasticity Research Group, KU Leuven, Belgium. His most successfully contribution has concerned source extraction with advanced methods that include Independent Component Analysis (ICA) and a modification of this algorithm called Functional Source Separation (FSS). He has developed various time and spectral constraints (the basis for the FSS algorithms) for the extraction and validation of primary cortical areas. Recently, he has started to apply FSS to EEG data recorded in the MRI environment, with the aim of improving EEG data quality at the single trial level.

Research

Researcher ID: 0000-0003-4847-163X

Dr Porcaro is currently involved in planning, organizing and running experiments with different neuroimaging techniques, such as EEG/MEG, fMRI and concurrent EEG/fMRI. As evidenced by his publications and actual and previous positions, I have developed strong collaborations with Italian, German, Dutch, Belgian, Swiss and English scientists, in various universities and research facilities.

His collaborators and project areas include:

Italy:

  • Dr. Tecchio, Dr. Salustri, Laboratory of Electrophysiology for Translational neuroScience (LET’S)-ISTC-National Research Council CNR (Functional Source Separation, sensorimotor control, fatigue);
  • Prof. Pierelli, Dr. Coppola, University of Rome Sapienza (cortico-subcortical networks, Migraines);
  • Dr. Di Lorenzo, Prof. Siracusano, Department of Neuroscience University of Rome Tor Vergata (Low and High Frequency Oscillations);
  • Prof. Abrusci, Prof Casadio, Philosophy Department, University ‘Roma Tre’ (Logic Reasoning);
  • Prof. Rossini, Dr. Tombini, Dr. Di Pino Clinical Neurology and Biomedical Robotics and Biomicrosystems Lab., Campus BioMedico of Rome University (Robotic Hand Control);
  • Prof. Romani, Prof. Pizzella, Dr. Zappasodi, Department of Neuroscience and Imaging, University of Chieti-Pescara (Time-frequency analysis, Independent Component Analysis ICA, MEG, EEG, foetal MEG)

Germany:

  • Dr. Oswald, Department of Neurology and Bernstein Centre for Computational Neuroscience, Charité, Berlin, Germany (Information theory)

Dutch:

  • Dr. Hadjipapas, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen (visual induced gamma and evoked activity);
  • Prof. Meyer, Netherlands Max Planck Institute for Psycholinguistics, Nijmegen (Overt Speech Production, EEG)

Belgian:

  • Prof. Mantini, KU Leuven, Department of Human Kinesiology, Movement Control & Neuroplasticity Group, Leuven (Detecting large-scale networks in the human brain using high-density electroencephalography)

Switzerland:

  • Prof. Wenderoth, Neural Control of Movement Lab Department of Health Sciences and Technology ETH Zurich, Switzerland (Brain Computer Interface (BCI), Detecting large-scale networks in the human brain using high-density electroencephalography and Aging);
  • Dr. Balsters, Neural Control of Movement Lab Department of Health Sciences and Technology ETH Zurich, Switzerland (aging, EEG-fMRI Integration)

UK:

  • Dr. Bagshaw, Dr. Mayhew, Dr. Krott, Dr. Rotshtein, Prof. Mazaheri, School of Psychology and Birmingham University Imaging Centre, University of Birmingham (Logic Reasoning, Overt Speech Production, Development of Single Trial Analysis Tools, fMRI, EEG, concurrent EEG-fMRI);
  • Prof. Mazaheri, School of Psychology and Birmingham University Imaging Centre, University of Birmingham (How neural fluctuations (quantified using EEG) prior to the onset of an event can bias perception and ultimately behaviour)
  • Prof. Seri, School of Life and Health Sciences, Aston University (Contradictory Reasoning, EEG, MEG);
  • Dr. Barnes, Wellcome Trust Centre for Neuroimaging, UCL, London (static and dynamic visual stimulation, MEG and EEG).

Publications

Book Chapter

  1. Porcaro C and Tecchio F. Semi-Blind Functional Source Separation Algorithm from non-invasive electrophysiology to neuroimaging. (Chapter Book) Blind Source Separation pp. 521-551. A book edited by Dr. Ganesh R Naik and Dr. Wenwu Wang. Edited by Springer. (2014).DOI: 10.1007/978-3-642-55016-4_19

Publications–Full Paper

  1. Buyukturkoglua K, Porcaro C, Cottone C, Cancelli A, Inglese M, Tecchio F. Simple index of functional connectivity at rest in Multiple Sclerosis fatigue. Clin Neurophysiol. In Press.
  2. Mayhew SD, Porcaro C, Tecchio F, Bagshaw AP. fMRI characterisation ofwidespread brain networks relevant for behavioural variability in fine hand motor control with and without visual feedback. Neuroimage. 2017 Jan 14; 148:330-342.
  3. Vecchio F, Miraglia F, Porcaro C, Cottone C, Cancelli A, Rossini PM, Tecchio F. Electroencephalography-Derived Sensory and Motor Network Topology in Multiple Sclerosis Fatigue. Neurorehabil Neural Repair. 2017 Jan; 31(1):56-64.
  4. Tecchio F, Vecchio F, Ventriglia M, Porcaro C, Miraglia F, Siotto M, Rossini PM, Rongioletti M, Squitti R. Non-Ceruloplasmin Copper Distinguishes A Distinct Subtype of Alzheimer's Disease: A Study of EEG-Derived Brain Activity. Curr Alzheimer Res. 2016; 13(12):1374-1384.
  5. Cottone C, Porcaro C, Cancelli A, Olejarczyk E, Salustri C, Tecchio F. Neuronal electrical ongoing activity as a signature of cortical areas. Brain Struct Funct. 2016 Nov 1. [Epub ahead of print] PubMed PMID: 27803994.
  6. Porcaro C, Di Lorenzo G, Seri S, Pierelli F, Tecchio F, Coppola G. Impaired brainstem and thalamic high-frequency oscillatory EEG activity in migraine between attacks. Cephalalgia. 2016 Jun 29. pii: 0333102416657146. [Epub ahead of print] PubMed PMID: 27358281.
  7. Mayhew SD, Mullinger KJ, Ostwald D, Porcaro C, Bowtell R, Bagshaw AP, Francis ST. Global signal modulation of single-trial fMRI response variability: Effect on positive vs negative BOLD response relationship. Neuroimage. 2016 Jun; 133:62-74.
  8. Smits FM*, Porcaro C*, Cottone C, Cancelli A, Rossini PM, Tecchio F. Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer's Disease. PLoS One. 2016 Feb 12; 11(2):e0149587. *These authors contributed equally to this work.
  9. Rollings DT, Assecondi S, Ostwald D, Porcaro C, McCorry D, Bagary M, Soryal I, Bagshaw AP. Early haemodynamic changes observed in patients with epilepsy, in a visual experiment and in simulations. Clin Neurophysiol. 2016 Jan; 127(1):245-53.
  10. Porcaro C, Medaglia MT, Krott A. Removing speech artifacts from electroencephalographic recordings during overt picture naming. Neuroimage. 2015 Jan 15;105:171-80.
  11. Cogliati Dezza I, Zito G, Tomasevic L, Filippi MM, Ghazaryan A, Porcaro C, Squitti R, Ventriglia M, Lupoi D, Tecchio F. Functional and structural balances of homologous sensorimotor regions in multiple sclerosis fatigue. J Neurol. 2015  Mar; 262(3):614-22.
  12. Abrusci VM, Casadio C, Medaglia MT, Porcaro C. Universal vs. Particular reasoning: A study with neuroimaging techniques. Logic Journal of the IGPL, 2003; 21 (6), 1017-1027.
  13. Tecchio F, Cancelli A, Cottone C, Ferrucci R, Vergari M, Zito G, Pasqualetti P, Filippi MM, Ghazaryan A, Lupoi D, Smits FM, Giordani A, Migliore S, Porcaro C, Salustri C, Rossini PM, Priori A. Brain Plasticity Effects of Neuromodulation Against Multiple Sclerosis Fatigue. Front Neurol. 2015 Jul 3; 6:141.
  14. Giambattistelli F, Tomasevic L, Pellegrino G, Porcaro C, Melgari JM, Rossini  PM, Tecchio F. The spontaneous fluctuation of the excitability of a single node modulates the internodes connectivity: a TMS-EEG study. Hum Brain Mapp. 2014 Apr; 35(4):1740-9.
  15. Porcaro C, Medaglia MT, Thai NJ, Seri S, Rotshtein P, Tecchio F. Contradictory reasoning network: an EEG and FMRI study. PLoS One. 2014 Mar 25; 9(3):e92835.
  16. Melgari JM, Zappasodi F, Porcaro C, Tomasevic L, Cassetta E, Rossini PM, Tecchio F. Movement-induced uncoupling of primary sensory and motor areas in focal task-specific hand dystonia. Neuroscience. 2013 Oct 10; 250:434-45.
  17. Mayhew SD, Ostwald D, Porcaro C, Bagshaw AP. Spontaneous EEG alphaoscillation interacts with positive and negative BOLD responses in thevisual-auditory cortices and default-mode network. Neuroimage. 2013 Aug1; 76:362-72.
  18. Mayhew SD, Hylands-White N, Porcaro C, Derbyshire SW, Bagshaw AP. Intrinsic variability in the human response to pain is assembled from multiple, dynamic brain processes. Neuroimage. 2013 Jul 15; 75:68-78.
  19. Porcaro C, Coppola G, Pierelli F, Seri S, Di Lorenzo G, Tomasevic L, Salustri C, Tecchio F. Multiple frequency functional connectivity in the hand somatosensory network: an EEG study. Clin Neurophysiol. 2013 Jun; 124(6):1216-24
  20. Tomasevic L, Zito G, Pasqualetti P, Filippi M, Landi D, Ghazaryan A, Lupoi D, Porcaro C, Bagnato F, Rossini P, Tecchio F. Cortico-muscular coherence as an index of fatigue in multiple sclerosis. Mult Scler. 2013 Mar; 19(3):334-43.
  21. Cottone C, Tomasevic L, Porcaro C, Filligoi G, Tecchio F. Physiological aging impacts the hemispheric balances of resting state primary somatosensory activities. Brain Topogr. 2013 Jan; 26(1):186-99.
  22. Tombini M, Rigosa J, Zappasodi F, Porcaro C, Citi L, Carpaneto J, Rossini PM, Micera S. Combined analysis of cortical (EEG) and nerve stump signals improves robotic hand control. Neurorehabil Neural Repair. 2012 Mar-Apr; 26(3):275-81
  23. Ostwald D, Porcaro C, Mayhew SD, Bagshaw AP. EEG-fMRI based information theoretic characterization of the human perceptual decision system. PLoS One. 2012;7(4):e33896.
  24. Di Pino G*, Porcaro C*, Tombini M, Assenza G, Pellegrino G, Tecchio F, Rossini PM. A neurally-interfaced hand prosthesis tuned inter-hemispheric communication. Restor Neurol Neurosci. 2012; 30(5):407-18. *These authors contributed equally to this work.
  25. Porcaro C, Ostwald D, Hadjipapas A, Barnes GR, Bagshaw AP. The relationship between the visual evoked potential and the gamma band investigated by blind and semi-blind methods. Neuroimage. 2011 Jun 1; 56(3):1059-71.
  26. Ostwald D, Porcaro C, Bagshaw AP. Voxel-wise information theoretic EEG-fMRI feature integration. Neuroimage. 2011 Apr 1; 55(3):1270-86
  27. Lei X, Ostwald D, Hu J, Qiu C, Porcaro C, Bagshaw AP, Yao D. Multimodal functional network connectivity: an EEG-fMRI fusion in network space. PLoS One. 2011; 6(9):e24642.
  28. Porcaro C, Ostwald D, Bagshaw AP. Functional source separation improves the quality of single trial visual evoked potentials recorded during concurrent EEG-fMRI. Neuroimage. 2010 Mar;50(1):112-23.
  29. Ostwald D, Porcaro C, Bagshaw AP. An information theoretic approach to EEG-fMRI integration of visually evoked responses. Neuroimage. 2010 Jan 1; 49(1):498-516.
  30. Medaglia MT, Tecchio F, Seri S, Di Lorenzo G, Rossini PM, Porcaro C. Contradiction in universal and particular reasoning. Hum Brain Mapp. 2009 Dec; 30(12):4187-97.
  31. Porcaro C, Zappasodi F, Rossini PM, Tecchio F. Choice of multivariate autoregressive model order affecting real network functional connectivity estimate. Clin Neurophysiol. 2009 Feb; 120(2):436-48.
  32. Porcaro C, Coppola G, Di Lorenzo G, Zappasodi F, Siracusano A, Pierelli F, Rossini PM, Tecchio F, Seri S. Hand somatosensory subcortical and cortical sources assessed by functional source separation: an EEG study. Hum Brain Mapp. 2009 Feb; 30(2):660-74.
  33. Tecchio F, Melgari JM, Zappasodi F, Porcaro C, Milazzo D, Cassetta E, Rossini PM. Sensorimotor integration in focal task-specific hand dystonia: a magnetoencephalographic assessment. Neuroscience. 2008 Jun 23; 154(2):563-71.
  34. Tecchio F, Zappasodi F, Porcaro C, Barbati G, Assenza G, Salustri C, Rossini PM. High-gamma band activity of primary hand cortical areas: a sensorimotor feedback efficiency index. Neuroimage. 2008 Mar 1; 40(1):256-64.
  35. Barbati G, Porcaro C, Hadjipapas A, Adjamian P, Pizzella V, Romani GL, Seri S, Tecchio F, Barnes GR. Functional source separation applied to induced visual gamma activity. Hum Brain Mapp. 2008 Feb; 29(2):131-41.
  36. Porcaro C, Barbati G, Zappasodi F, Rossini PM, Tecchio F. Hand sensory-motor cortical network assessed by functional source separation. Hum Brain Mapp. 2008 Jan; 29(1):70-81.
  37. Tecchio F, Porcaro C, Barbati G, Zappasodi F. Functional source separation and hand cortical representation for a brain-computer interface feature extraction. J Physiol. 2007 May 1; 580(Pt.3):703-21. Review.
  38. Tecchio F, Graziadio S, Barbati G, Sigismondi R, Zappasodi F, Porcaro C, Valente G, Balsi M, Rossini PM. Somatosensory dynamic gamma-band synchrony: a neural code of sensorimotor dexterity. Neuroimage. 2007 Mar; 35(1):185-93.
  39. Barbati G, Sigismondi R, Zappasodi F, Porcaro C, Graziadio S, Valente G, Balsi M, Rossini PM, Tecchio F. Functional source separation from magnetoencephalographic signals. Hum Brain Mapp. 2006 Dec; 27(12):925-34.
  40. Tecchio F, Porcaro C, Zappasodi F, Pesenti A, Ercolani M, Rossini PM. Cortical short-term fatigue effects assessed via rhythmic brain-muscle coherence. Exp Brain Res. 2006 Sep; 174(1):144-51.
  41. Tecchio F, Zappasodi F, Melgari JM, Porcaro C, Cassetta E, Rossini PM. Sensory-motor interaction in primary hand cortical areas: a magnetoencephalography assessment. Neuroscience. 2006 Aug 11; 141(1):533-42.
  42. Porcaro C, Zappasodi F, Barbati G, Salustri C, Pizzella V, Rossini PM, Tecchio F. Fetal auditory responses to external sounds and mother's heart beat: detection improved by Independent Component Analysis. Brain Res. 2006 Jul 26; 1101(1):51-8.
  43. Salustri C, Barbati G, Porcaro C. Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separation. IEEE Trans Biomed Eng. 2005 Jun; 52(6):1140-2.
  44. Barbati G, Porcaro C, Zappasodi F, Rossini PM, Tecchio F. Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals. Clin Neurophysiol. 2004 May; 115(5):1220-32.