Observatorio de I+D+i UPM
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INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Ernesto Pereda De Pablos
Categoría Investigador
MIEMBRO ASOCIADO DE OTRA ENTIDAD
Escuela UPM
CENTRO DE TECNOLOGIA BIOMEDICA (CTB)
Departamento:
NO ADSCRITOS/AS A DEPARTAMENTO EN EL DIA DE LA FECHA
Area Conocimiento
SIN AREA DE CONOCIMIENTO
Grupo de Investigación:
Sin grupo de investigación
Entidad
Universidad de La Laguna
Email (Directorio UPM)
ernesto.pereda
upm.es
Investigador no vigente en la UPM
Datos de Memorias relacionados
Formación de Investigadores y Movilidad
1 Tesis Doctorales
1: (2018)
USING MAGNETOENCEPHALOGRAPHY TO MONITOR THE PROGRESSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER DISEASE: AN APPROACH BASED ON RESTING STATE FUNCTIONAL CONNECTIVITY
Difusión de Resultados de Investigación
18 Artículos en revistas
1: (2017)
Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data
2: (2017)
Choice of Magnetometers and Gradiometers after Signal Space Separation
3: (2017)
Efficient Computation of Functional Brain Networks:toward Real-Time Functional Connectivity
4: (2017)
Neural oscillatory mechanisms during novel grammar learning underlying language analytical abilities
5: (2018)
A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP
6: (2018)
BDNF Val66Met Polymorphism and Gamma Band Disruption in Resting State Brain Functional Connectivity: A Magnetoencephalography Study in Cognitively Intact Older Females
7: (2018)
BDNF Val66Met polymorphism and gamma band disruption in resting state brain functional connectivity: A Magnetoencephalography study in cognitively intact older females
8: (2018)
Functional associations at global brain level during perception of an auditory illusion by applying maximal information coefficient
9: (2018)
How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment from Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters
10: (2018)
Phase Locking Value revisited: teaching new tricks to an old dog
11: (2018)
Phase locking value revisited: teaching new tricks to an old dog
12: (2018)
The blessing of Dimensionality: Feature Selection outperforms functional connectivity-based feature transformation to classify ADHD subjects from EEG patterns of phase synchronisation
13: (2019)
Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease
14: (2019)
Dynamic low frequency EEG phase synchronization patterns during proactive control of task switching
15: (2019)
Hypersynchronization in mild cognitive impairment: the 'X' model
16: (2019)
Inferring correlations associated to causal interactions in brain signals using autoregressive models
17: (2019)
Modeling the Switching Behavior of Functional Connectivity Microstates (FC mu states) as a Novel Biomarker for Mild Cognitive Impairment
18: (2019)
Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation
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S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)
