Ángel Nevado

Senior researcher
Data Analysis

Phone number: (+34) 910679319
ORCID: 0000-0002-1660-8294

Ángel Nevado is Associate Professor in the Dep. Experimental Psychology, School of Psychology, Complutense University of Madrid. His research interests are in Methods in Neuroimaging and Critical Thinking.  Previously he was a Ramón y Cajal investigator at Complutense University of Madrid. Prior to that he was a postdoctoral researcher at the York Neuroimaging Centre (University of York, UK) and the Department of Psychology (University of Newcastle upon Tyne, UK). He did his PhD on computational neuroscience at the Physics Department of the Autónoma University of Madrid (Spain)

Other research interests

Computational neuroscience

Computational neuroscience is an interdisciplinary field which employs mathematical models and theoretical analysis to understand the principles that govern the physiology, structure and development of the nervous system, and related cognitive abilities. Specifically, in the laboratory we carry out brain network simulations based on real data, aimed at reproducing network connectivity in health and disease. A parallel activity concerning this research area is the application of brain-like processing strategies to address engineering problems.

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Main publications


  • Nevado A, Del Río D, Martín-Aragoneses MT, Prados JM, López-Higes R. Preserved semantic categorical organization in mild cognitive impairment: A network analysis of verbal fluency. Neuropsychologia. 2021 07; 157:107875. PubMed ID: 33930387.


  • Lopez-Martin M, Nevado A, Carro B. Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network. Artif Intell Med. 2020 07; 107:101924. PubMed ID: 32828459.


  • Díez Á, Ranlund S, Pinotsis D, Calafato S, Shaikh M, Hall MH, Walshe M, Nevado Á, Friston KJ, Adams RA, Bramon E. Abnormal frontoparietal synaptic gain mediating the P300 in patients with psychotic disorder and their unaffected relatives. Hum Brain Mapp. 2017 06; 38(6):3262-3276. PubMed ID: 28345275.


  • Rosales F, García-Dopico A, Bajo R, Nevado Á. An efficient implementation of the synchronization likelihood algorithm for functional connectivity. Neuroinformatics. 2015 Apr; 13(2):245-58. PubMed ID: 25500965.


  • Gonzalez-Moreno A, Aurtenetxe S, Lopez-Garcia ME, del Pozo F, Maestu F, Nevado A. Signal-to-noise ratio of the MEG signal after preprocessing. J Neurosci Methods. 2014 Jan; 222:56-61. PubMed ID: 24200506. PDF file PDF file.


  • Maestú C, Blanco M, Nevado A, Romero J, Rodríguez-Rubio P, Galindo J, Bautista Lorite J, de las Morenas F, Fernández-Argüelles P. Reduction of pain thresholds in fibromyalgia after very low-intensity magnetic stimulation: a double-blinded, randomized placebo-controlled clinical trial. Pain Res Manag. 2013; 18(6):e101-6. PubMed ID: 24308025.
  • Maestu C, Cortes A, Vazquez JM, del Rio D, Gomez-Arguelles JM, del Pozo F, Nevado A. Increased brain responses during subjectively-matched mechanical pain stimulation in fibromyalgia patients as evidenced by MEG. Clin Neurophysiol. 2013 Apr; 124(4):752-60. PubMed ID: 23121899.


  • Nevado A, Hadjipapas A, Kinsey K, Moratti S, Barnes GR, Holliday IE, Green GG. Estimation of functional connectivity from electromagnetic signals and the amount of empirical data required. Neurosci Lett. 2012 Mar; 513(1):57-61. PubMed ID: 22329975.


  • Buldú JM, Bajo R, Maestú F, Castellanos N, Leyva I, Gil P, Sendiña-Nadal I, Almendral JA, Nevado A, del-Pozo F, Boccaletti S. Reorganization of functional networks in mild cognitive impairment. PLoS One. 2011; 6(5):e19584. PubMed ID: 21625430.
  • Maestú F, Yubero R, Moratti S, Campo P, Gil-Gregorio P, Paul N, Solesio E, del Pozo F, Nevado A. Brain activity patterns in stable and progressive mild cognitive impairment during working memory as evidenced by magnetoencephalography. J Clin Neurophysiol. 2011 Apr; 28(2):202-9. PubMed ID: 21399524.
  • Maestu F, Baykova E, Ruiz JM, Montejo P, Montenegro M, Llanero M, Solesio E, Gil P, Yubero R, Paul N, Pozo F, Nevado A. Increased biomagnetic activity in healthy elderly with subjective memory complaints. Clin Neurophysiol. 2011 Mar; 122(3):499-505. PubMed ID: 20826109.


  • Bajo R, Maestú F, Nevado A, Sancho M, Gutiérrez R, Campo P, Castellanos NP, Gil P, Moratti S, Pereda E, Del-Pozo F. Functional connectivity in mild cognitive impairment during a memory task: implications for the disconnection hypothesis. J Alzheimers Dis. 2010; 22(1):183-93. PubMed ID: 20847450.


  • Kinsey K, Anderson SJ, Hadjipapas A, Nevado A, Hillebrand A, Holliday IE. Cortical oscillatory activity associated with the perception of illusory and real visual contours. Int J Psychophysiol. 2009 Sep; 73(3):265-72. PubMed ID: 19397939.
  • Hadjipapas A, Casagrande E, Nevado A, Barnes GR, Green G, Holliday IE. Can we observe collective neuronal activity from macroscopic aggregate signals? Neuroimage. 2009 Feb; 44(4):1290-303. PubMed ID: 19041404.


  • MacPherson H, Green G, Nevado A, Lythgoe MF, Lewith G, Devlin R, Haselfoot R, Asghar AU. Brain imaging of acupuncture: comparing superficial with deep needling. Neurosci Lett. 2008 Mar; 434(1):144-9. PubMed ID: 18294772.


  • Guo K, Robertson RG, Pulgarin M, Nevado A, Panzeri S, Thiele A, Young MP. Spatio-temporal prediction and inference by V1 neurons. Eur J Neurosci. 2007 Aug; 26(4):1045-54. PubMed ID: 17714195.


  • Guo K, Robertson R, Nevado A, Pulgarin M, Mahmoodi S, Young MP. Primary visual cortex neurons that contribute to resolve the aperture problem. Neuroscience. 2006; 138(4):1397-406. PubMed ID: 16446037.


  • Guo K, Nevado A, Robertson RG, Pulgarin M, Thiele A, Young MP. Effects on orientation perception of manipulating the spatio-temporal prior probability of stimuli. Vision Res. 2004; 44(20):2349-58. PubMed ID: 15246751.
  • Nevado A, Young MP, Panzeri S. Functional imaging and neural information coding. Neuroimage. 2004 Mar; 21(3):1083-95. PubMed ID: 15006676.


  • Nevado A, Turiel A, Parga N. Scene dependence of the non-Gaussian scaling properties of natural images. Network. 2000 May; 11(2):131-52. PubMed ID: 10880003.

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