| Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study H Almgren, F Van de Steen, S Kühn, A Razi, K Friston, D Marinazzo Neuroimage 183, 757-768, 2018 | 64 | 2018 |
| Dynamic causal modelling of fluctuating connectivity in resting-state EEG F Van de Steen, H Almgren, A Razi, K Friston, D Marinazzo Neuroimage 189, 476-484, 2019 | 44 | 2019 |
| The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI H Almgren, F Van de Steen, A Razi, K Friston, D Marinazzo Neuroimage 208, 116435, 2020 | 22 | 2020 |
| A systematic review of resting-state functional connectivity in obesity: Refining current neurobiological frameworks and methodological considerations moving forward N Parsons, T Steward, R Clohesy, H Almgren, L Duehlmeyer Reviews in Endocrine and Metabolic Disorders 23 (4), 861-879, 2022 | 21 | 2022 |
| Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets M Camacho, M Wilms, P Mouches, H Almgren, R Souza, R Camicioli, ... NeuroImage: Clinical 38, 103405, 2023 | 7 | 2023 |
| Pre-and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling H Aerts, N Colenbier, H Almgren, T Dhollander, JR Daparte, K Clauw, ... Scientific Data 9 (1), 676, 2022 | 6 | 2022 |
| Individual differences in mental imagery modulate effective connectivity of scene-selective regions during resting state MG Tullo, H Almgren, F Van de Steen, V Sulpizio, D Marinazzo, G Galati Brain Structure and Function 227 (5), 1831-1842, 2022 | 6 | 2022 |
| Effective connectivity modulations related to win and loss outcomes F Van de Steen, RM Krebs, N Colenbier, H Almgren, D Marinazzo Neuroimage 207, 116369, 2020 | 6 | 2020 |
| Do not disturb: psychophysiological correlates of boredom, flow and frustration during VR gaming K Bombeke, A Van Dongen, W Durnez, A Anzolin, H Almgren, A All, ... Augmented Cognition: Intelligent Technologies: 12th International Conference …, 2018 | 5 | 2018 |
| Machine learning-based prediction of longitudinal cognitive decline in early Parkinson’s disease using multimodal features H Almgren, M Camacho, A Hanganu, M Kibreab, R Camicioli, Z Ismail, ... Scientific Reports 13 (1), 13193, 2023 | 3 | 2023 |
| 26th annual computational neuroscience meeting (CNS* 2017): Part 3 AJH Newton, AH Seidenstein, RA McDougal, A Pérez-Cervera, G Huguet, ... BMC Neuroscience 18, 1-82, 2017 | 3 | 2017 |
| Motor symptoms in Parkinson’s disease are related to the interplay between cortical curvature and thickness H Almgren, A Hanganu, M Camacho, M Kibreab, R Camicioli, Z Ismail, ... NeuroImage: Clinical 37, 103300, 2023 | 2 | 2023 |
| Preferential signal pathways during the perception and imagery of familiar scenes: An effective connectivity study MG Tullo, H Almgren, F Van de Steen, M Boccia, F Bencivenga, G Galati Human Brain Mapping 44 (10), 3954-3971, 2023 | 1 | 2023 |
| Exploiting macro-and micro-structural brain changes for improved Parkinson’s disease classification from MRI data M Camacho, M Wilms, H Almgren, K Amador, R Camicioli, Z Ismail, ... npj Parkinson's Disease 10 (1), 43, 2024 | | 2024 |
| Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks S Valenti, L Sparacino, R Pernice, D Marinazzo, H Almgren, A Comelli, ... International Conference on Image Analysis and Processing, 386-397, 2022 | | 2022 |
| Canadian Consortium on Neurodegeneration in Aging (CCNA) Partners Forum and Science Days 2021: Abstracts from the trainee poster competition: COLLABORATION FOR CONNECTIVITY … N Sharma, J Walker, A Budd, M Gee, K Nelles, C Beaulieu, R Camicioli, ... Canadian Geriatrics Journal: CGJ 25 (1), 110-126, 2022 | | 2022 |
| A review of ideas and strategies to improve scientific research and its dissemination in life and social sciences H Almgren, N Parsons, S Van Den Bossche, D Marinazzo MetaArXiv, 2020 | | 2020 |
| Towards an open, robust, and reproducible framework for resting state effective connectivity in health and cognitive decline H Almgren Ghent University, 2020 | | 2020 |
| New (spectral) dynamic causal modeling scheme improves effective connectivity estimation within resting state networks in longitudinal data H Almgren, F Van de Steen, A Razi, D Marinazzo 26th Annual Computational Neuroscience Meeting (CNS* 2017): Part 3, 2017 | | 2017 |
| Within and between subject variability of effective connectivity in (small) resting state networks: A spectral dynamic causal modeling study H Almgren, F Van De Steen, S Kühn, A Razi, D Marinazzo 12th National Congress of the Belgian Society for Neuroscience, 2017 | | 2017 |
