Intuition, deduction, and the art of picking up the pieces: reciprocal gains of computational modeling and fMRI

Research output: ThesisDoctoral ThesisInternal

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Abstract

Given recent technological and methodological developments, a liaison between neuroimaging and computational neuroscience becomes increasingly promising. Drawing on these developments, two approaches to conduct interdisciplinary research were illustrated. This integration proved fruitful for testing existing theories of brain function as well as developing new theories.
The first part of the thesis presents research embedded within the neuroscience of vision. Specifically, it is concerned with developing a framework suited for evaluating the detailed spatial activation profile predicted by a computational model of how the brain processes surfaces against neuroimaging data.
The second part of the thesis presents research aimed at understanding structure-function relationships in the brain. Specifically, it is concerned with elucidating the role of the cortical rich club, a set of brain regions exhibiting very rich connectivity, in the globally coordinated integration of segregated brain regions into temporal functional networks.
Original languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Goebel, Rainer, Supervisor
  • Deco, G., Advisor, External person
  • Peters, Judith, Advisor
Award date4 Nov 2016
Place of PublicationMaastricht
Publisher
Publication statusPublished - 2016

Keywords

  • brain research
  • neuroimaging
  • computational neuroscience

Cite this

@phdthesis{f19c8fbf8cde4d9c8c6f04101d9028ce,
title = "Intuition, deduction, and the art of picking up the pieces: reciprocal gains of computational modeling and fMRI",
abstract = "Given recent technological and methodological developments, a liaison between neuroimaging and computational neuroscience becomes increasingly promising. Drawing on these developments, two approaches to conduct interdisciplinary research were illustrated. This integration proved fruitful for testing existing theories of brain function as well as developing new theories.The first part of the thesis presents research embedded within the neuroscience of vision. Specifically, it is concerned with developing a framework suited for evaluating the detailed spatial activation profile predicted by a computational model of how the brain processes surfaces against neuroimaging data.The second part of the thesis presents research aimed at understanding structure-function relationships in the brain. Specifically, it is concerned with elucidating the role of the cortical rich club, a set of brain regions exhibiting very rich connectivity, in the globally coordinated integration of segregated brain regions into temporal functional networks.",
keywords = "brain research, neuroimaging, computational neuroscience",
author = "Mario Senden",
year = "2016",
language = "English",
publisher = "Ridderprint",
school = "Maastricht University",

}

Intuition, deduction, and the art of picking up the pieces : reciprocal gains of computational modeling and fMRI. / Senden, Mario.

Maastricht : Ridderprint, 2016. 179 p.

Research output: ThesisDoctoral ThesisInternal

TY - THES

T1 - Intuition, deduction, and the art of picking up the pieces

T2 - reciprocal gains of computational modeling and fMRI

AU - Senden, Mario

PY - 2016

Y1 - 2016

N2 - Given recent technological and methodological developments, a liaison between neuroimaging and computational neuroscience becomes increasingly promising. Drawing on these developments, two approaches to conduct interdisciplinary research were illustrated. This integration proved fruitful for testing existing theories of brain function as well as developing new theories.The first part of the thesis presents research embedded within the neuroscience of vision. Specifically, it is concerned with developing a framework suited for evaluating the detailed spatial activation profile predicted by a computational model of how the brain processes surfaces against neuroimaging data.The second part of the thesis presents research aimed at understanding structure-function relationships in the brain. Specifically, it is concerned with elucidating the role of the cortical rich club, a set of brain regions exhibiting very rich connectivity, in the globally coordinated integration of segregated brain regions into temporal functional networks.

AB - Given recent technological and methodological developments, a liaison between neuroimaging and computational neuroscience becomes increasingly promising. Drawing on these developments, two approaches to conduct interdisciplinary research were illustrated. This integration proved fruitful for testing existing theories of brain function as well as developing new theories.The first part of the thesis presents research embedded within the neuroscience of vision. Specifically, it is concerned with developing a framework suited for evaluating the detailed spatial activation profile predicted by a computational model of how the brain processes surfaces against neuroimaging data.The second part of the thesis presents research aimed at understanding structure-function relationships in the brain. Specifically, it is concerned with elucidating the role of the cortical rich club, a set of brain regions exhibiting very rich connectivity, in the globally coordinated integration of segregated brain regions into temporal functional networks.

KW - brain research

KW - neuroimaging

KW - computational neuroscience

M3 - Doctoral Thesis

PB - Ridderprint

CY - Maastricht

ER -