Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Researcher

Hannes Almgren

Awards & Distinctions

11 Results

2022

Individual differences in mental imagery modulate effective connectivity of scene-selective regions during resting state

Maria Giulia TulloHannes AlmgrenFrederik Van de SteenValentina SulpizioDaniele MarinazzoGaspare Galati

A1 Journal Article in BRAIN STRUCTURE & FUNCTION

Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling

Hannelore AertsNigel ColenbierHannes AlmgrenThijs DhollanderJavier Rasero DaparteKenzo ClauwAmogh JohriJil MeierJessica PalmerMichael Schirner et al.

A1 Journal Article in SCIENTIFIC DATA

2020

Effective connectivity modulations related to win and loss outcomes

Frederik Van de SteenRuth KrebsNigel ColenbierHannes AlmgrenDaniele Marinazzo

A1 Journal Article in NEUROIMAGE

The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI

Hannes AlmgrenFrederik Van de SteenAdeel RaziKarl FristonDaniele Marinazzo

A1 Journal Article in NEUROIMAGE

Towards an open, robust, and reproducible framework for resting state effective connectivity in health and cognitive decline

Hannes AlmgrenDaniele Marinazzo

2019

Dynamic causal modelling of fluctuating connectivity in resting-state EEG

Frederik Van de SteenHannes AlmgrenAdeel RaziKarl FristonDaniele Marinazzo

A1 Journal Article in NEUROIMAGE

2018

Do not disturb : psychophysiological correlates of boredom, flow and frustration during VR gaming

Klaas BombekeAranka van DongenWouter DurnezAlessandra AnzolinHannes AlmgrenAnissa AllJan Van LooyLieven De MarezDaniele MarinazzoElena Patricia Nunez Castellar

Variability and reliability of effective connectivity within the core default mode network : a multi-site longitudinal spectral DCM study

Hannes AlmgrenFrederik Van de SteenSimone KühnAdeel RaziKarl FristonDaniele Marinazzo

A1 Journal Article in NEUROIMAGE

2017

New (spectral) dynamic causal modeling scheme improves effective connectivity estimation within resting state networks in longitudinal data

Hannes AlmgrenFrederik Van de SteenAdeel RaziDaniele Marinazzo

Within and between subject variability of effective connectivity in (small) resting state networks: A spectral dynamic causal modeling study

Hannes AlmgrenFrederik Van de SteenSimone KühnAdeel RaziDaniele Marinazzo

2015

The challenge of successive dynamic causal models

Hannes AlmgrenFrederik Van de SteenRoma SiugzdaiteDaniele Marinazzo