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Alexandros Kastrinogiannis

Alexandros Kastrinogiannis
University Medical Center Hamburg-Eppendorf · Systems Neuroscience

Cognitive Neuroscience, MSc

About

3
Publications
278
Reads
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0
Citations
Citations since 2017
3 Research Items
0 Citations
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
20172018201920202021202220230.00.20.40.60.81.0
Additional affiliations
November 2017 - present
Brainvitge Research Group
Position
  • Research Assistant
February 2017 - August 2017
Karolinska Institutet
Position
  • Research Assistant
February 2015 - April 2015
Foundation for Research and Technology - Hellas
Position
  • Rotation Student
Education
September 2017 - July 2018
University of Barcelona
Field of study
  • Cognitive Neuroscience
October 2014 - August 2017
Universität Osnabrück
Field of study
  • Cognitive Science
February 2012 - July 2014
Hochschule der Medien Stuttgart
Field of study
  • Computer Science and Media

Publications

Publications (3)
Preprint
Full-text available
Background:Exposure to adverse experiences is a well-established major risk factor for affective psychopathology. The vulnerability of deleterious sequelae is assumed in maladaptive processes of the defensive system, particularly in emotional processing. More specifically, childhood maltreatment has been suggested to be associated with the recruitm...
Preprint
Full-text available
How does one retrieve real-life episodic memories? Here, we tested the hypothesis, derived from computational models, that successful retrieval relies on neural dynamics patterns that rapidly shift towards stable states. We implemented cross-temporal correlation analysis of electroencephalographic (EEG) recordings while participants retrieved episo...

Network

Projects

Project (1)
Project
A current hallmark in Autobiographical Memory (AM) research is to unravel how individual real-life event episodes are encoded and retrieved from long-term memory. Research has shown that spatial, temporal and semantic features of an encoded event promotes clustered organization and representation of experienced event episodes’ details are essential factors for the retrieval of autobiographical events. The aim of the current study is to test whether such organizational perspective can be quantified from brain patterns responses recorded when individual real life event episodes are retrieved from memory. To address this question, we recorded electroencephalographic activity (EEG) while participants retrieved their individual AMs cued by pictures taken automatically by a wearable camera from the past one-week daily life. Simultaneous GPS measures registered during the encoding week and were used to extract spatial features of the tested memories. Deep learning algorithms were used to automatically construct semantic clusters from the pictures. Neural patterns of EEG activity elicited by each of these cues were related then related to each of these memory organization features and related to memory recollection performance.