Institute of Biomedical Technologies

Electrical engineering and bioengineering

INVESTIGADORES RESPONSABLES

Ernesto Pereda de Pablo, PhD

Professor of Electrical Engineering, Department of Industrial Engineering, ULL
José Fco. Gómez González, PhD

Contracted Lecturer, Department of Industrial Engineering, ULL

PHD STUDENTS AND TRAINEES:

  • Juan García-Prieto Cuesta (Contracted Researcher, Department of Industrial Engineering, ULL)

RESEARCH LINES:

In this laboratory we use bioengineering techniques to develop experimental techniques and software programmes for biological simulation, and to measure brain activity from multivariate neurological data. These tools aim to determine functional connectivity patterns and to implement new analysis tools for the study of complex systems.

FUNDED PROJECTS:

  • Improving optic data decoding in fibre networks using neuromorphic photonic devices (TEC2016-80063-C3-2-R “Mejorando la descodificación de datos de forma óptica en redes de comunicaciones por fibra utilizando dispositivos fotónicos neuro-inspirados”). PI: Alex Arenas (Ernesto Pereda de Pablo, ULL). Ministry of Economy and Competitiveness, MINECO (2016-2019, 35,000 €).
  • Extraction and classification of brain activity information via portable electroencephalographs: application to brain-machine interface systems for patients with restricted mobility. (ProID2017010100 – Extracción y clasificación de la información de la actividad cerebral detectada con electroencefalógrafo portátil. Aplicación a sistemas de interface cerebromáquina para pacientes con movilidad reducida”). PI: José F. Gómez González. The Canary Islands Agency of Research, Innovation and Information Sciences (2017-2020, 69,996.33 €).

PUBLICATIONS 2019:

  • Hughes LE, Henson RN,Pereda E,Bruña R,López-Sanz D,Quinn AJ,WoolrichMW,Nobre AC,Rowe JB, Maestú F;BioFIND Working Group. Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography. Alzheimers Dement(Amst). 2019 Jun 14;11:450-462. doi: 10.1016/j.dadm.2019.04.009
  • Camara C, Warwick K, Bruña R, Aziz T, Pereda E. Closed-loop deep brain stimulation based on a stream-clustering system. Expert Systems with Applications. 2019 Jul;126:187-199. doi: 1016/j.eswa.2019.02.024
  • Camara C, Warwick K, Aziz T, Pereda E. Non-linear dynamical analysis of resting tremor for demand-driven deep brain stimulation. Sensors (Basel). 2019 May 31;19(11). pii: E2507. doi: 10.3390/s19112507
  • López ME,Pusil S,Pereda E, Maestú F,Barceló F.Dynamic low frequency EEG phase synchronization patterns during proactive control of task switching. 2019 Feb 1;186:70-82. doi: 10.1016/j.neuroimage.2018.10.068
  • Dimitriadis SI,López ME,Maestu F,Pereda E.Modeling the switching behavior of functional connectivity microstates(fcμstates) as a novel biomarker for mild cognitive impairment. Front Neurosci. 2019 Jun 11;13:542. doi: 10.3389/fnins.2019.00542
  • Pusil S,Dimitriadis SI,López ME,Pereda E,Maestú F.Aberrant MEG multi- frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer’s disease. Neuroimage Clin. 2019;24:101972. doi: 10.1016/j.nicl.2019.101972

OTHER SELECTED PUBLICATIONS FROM THE LAST 10 YEARS:

  • Garcés P,Pereda E,Hernández-Tamames JA,Del-Pozo F,Maestú F,Pineda-Pardo JÁ. Multimodal description of whole brain connectivity: A comparison of resting state MEG, fMRI, and DWI. Hum Brain Mapp. 2016 Jan;37(1):20-34. doi: 10.1002/hbm.22995
  • Niso G, Carrasco S, Gudin M, Maestu F, Del-Pozo F, Pereda E. What graph theory tells about resting state interictal MEG epileptic activity. Neuroimage Clin. 2015 May 23;8:503-15. doi: 10.1016/j.nicl.2015.05.008
  • Niso G, Bruna R, Pereda E, Gutierrez R, Bajo R, Maestu F, del-Pozo F, HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity. Neuroinformatics. 2013 Oct;11(4):405-34. doi: 10.1007/s12021-013-9186-1
  • Gonzalez JJ, Manas S, De Vera L, Mendez LD, Lopez S, Garrido JM, Pereda E. Assessmentof electroencephalographic functional connectivity in term and preterm neonates. Clin Neurophysiol. 2011 Apr;122(4):696-702. doi: 10.1016/j.clinph.2010.08.025
  • Martín-Mateos I, Méndez Pérez JA,Reboso Morales JA,Gómez-González JF.Adaptive pharmacokinetic and pharmacodynamic modelling to predict propofol effect using BIS-guided anesthesia. Comput Biol Med. 2016 Aug 1;75:173-80. doi: 10.1016/j.compbiomed.2016.06.007
  • Gómez González JF,Mel BW,Poirazi P. Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It’s about Time. Front Comput 2011 Nov 14;5:44. doi: 10.3389/fncom.2011.00044