Usuario:Rosalia

De Grupo de Inteligencia Computacional (GIC)
My photo here
Outside
My graph here
Inside



Rosalia Dacosta-Aguayo

Personal Data

  • E-mail: rdacostaa@gmail.com
  • Address:
Computational Intelligence Group
Department of Computer Science and Artificial Intelligence
Computer Science Faculty - Lab. 308
University Of The Basque Country (UPV/EHU)
Paseo Manuel Lardizabal 1 - CP: 20018 Donostia/San Sebastián (GUIPUZCOA) - Spain
  • Tfno.: (+34) 943.01.51.06


Studies

  • History of Art (1994/1998) - Universidad Autónoma de Bellaterra (UAB).
  • Psychology (2003/2008) - Universidad del Girona (UdG).
  • Masters Degree in Behavioral Neurology and Clinical Neuropsychology (2008/2010) - Universidad Autónoma de Bellaterra (UAB).
  • Masters Degree in Neurosciences (2010/2011) - Universidad de Barcelona (UB).
  • Currently:
PhD Student in Biomedicine in the Computational Intelligence Group of the Computer Science and Artificial Intelligence Department - Universidad del País Vasco (UPV/EHU) and the Department of Psychiatry and Clinical Psychobiology - Universidad de Barcelona (UB).


Research Areas

She is a Psychologist with expertise in the field of Neuropsychology. She completed an internship of two years as a Clinical Neuropsychologist in the Trueta University Hospital and in the Mar Hospital (Master’s Degree on Behavioral Neurology and Clinical Neuropsychology). She completed a Master’s Degree on Neurosciences and worked as a Research Assistant during five months in the Institute of Sanitary Assistance (IAS), Parc Marti i Julia Hospital, with patients with intellectual disabilities as well as a therapist focused on the support therapies for relatives of patients with dementia (FADECIA Foundation, Girona). She is at present conducting a PhD on Biomedicine between the University of the Barcelona, (Department of Psychiatry and Clinical Psychobiology) and the University of the Basque Country, UPV/EHU (Group of Computational Intelligence, Dept. CCIA). Her main focus of research is the mechanisms of brain plasticity in stroke survivors with special interest on early surrogate biomarkers, brain and behavior relationships using neuroimaging techniques. She is working as a Research Assistant in the University of the Basque Country, UPV/EHU (Group of Computational Intelligence, Dept. CCIA) since December 2012.

Working experience

Project: TIN2011-23823 from the Ministry of Economy and Competitiveness (MINECO).
  • January - June 2011 Research Assistant at : Insitut d'Assistència Sanitària (IAS) Parc Hospitalari Marti i Julià (Edifici Els Til·lers).


Publications

2013

Rosalia Dacosta-Aguayo; Manuel Graña; Marina Fernandez-Andujar; Elena López-Cancio; Cynthia Cáceres; Nuria Bargallo; Maite Barrios; Imma Clemente; Antoni Dávalos; Auer Tibor; Maria Mataró
Structural integrity of the contralesional hemisphere predicts cognitive impairment in ischemic stroke at three months
PLosONe (aceptado 11 dic 2013)
JCR (2012) 3.730, (Q1 mult. sciences)
Rosalia Dacosta-Aguayo; Manuel Graña; Alexandre Savio; Marina Fernández-Andújar ; Monica Millán ; Elena López-Cancio ; Cynthia Cáceres ; Nuria Bargalló ; Cesar Garrido ; Maite Barrios ; Inmaculada Clemente ; Monica Hernández ; Jose Munuera ; Antonio Dávalos ; Tibor Auer; Maria Mataró
Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: a 3T fMRI pilot study
Human Brain Mapping (aceptado 15 nov 2013)
JCR (2012) 6.878, ISI Journal Citation Reports © Ranking: 2012: 1/14 (Neuroimaging); 1/120 (Radiology Nuclear Medicine & Medical Imaging); 23/252 (Neurosciences)

2014

Darya Chyzhyk, Rosalía Dacosta-Aguayo, Maria Mataró, Manuel Graña
An active learning approach for Stroke lesion segmentation on multimodal MRI data
Neurocomputing (aceptado 1 febrero)
JCR (2012) 1.634 (T1, Q2 CSAI)
Fernández-Andújar M, Doornink F, Dacosta-Aguayo R, Soriano-Raya JJ, Miralbell J, Bargalló N, López-Cancio E, Pérez de la Ossa N, Gomis M, Millán M, ;Barrios M, Cáceres C, Clemente I, Dávalos A, Mataró M
Remote thalamic microstructural abnormalities related to cognitive function in ischemic stroke patients
Neuropsychology (aceptado 4 de abril 2014)
JCR (2012): 3.477 (Q1)



Conferences