TY - JOUR
T1 - Dynamic Functional Connectivity in Adolescence-Onset Major Depression
T2 - Relationships With Severity and Symptom Dimensions
AU - Marchitelli, Rocco
AU - Paillère-Martinot, Marie Laure
AU - Bourvis, Nadège
AU - Guerin-Langlois, Christophe
AU - Kipman, Amélie
AU - Trichard, Christian
AU - Douniol, Marie
AU - Stordeur, Coline
AU - Galinowski, André
AU - Filippi, Irina
AU - Bertschy, Gilles
AU - Weibel, Sébastien
AU - Granger, Bernard
AU - Limosin, Frédéric
AU - Cohen, David
AU - Martinot, Jean Luc
AU - Artiges, Eric
N1 - Funding Information:
This work was supported by the Agence Nationale de la Recherche (Grant No. ANR-12-SAMA-0004), Assistance Publique-Hôpitaux de Paris and INSERM (interface grant), Paris Descartes University (Grant No. collaborative-project-2010), Paris Sud University (Grant No. IDEX-2012), the European Union–funded FP6 Integrated Project IMAGEN (Grant No. LSHM-CT-2007-037286), Eranet Neuron (Grant No. ANR-18-NEUR00002-01–ADORe), Fondation de l'Avenir (Grant No. AP-RM-17-013), Fondation de France (Grant No. 00081242), Fédération pour la Recherche sur le Cerveau, and Fondation pour la Recherche Médicale (Grant No. DPA20140629802). The authors acknowledge Nicolas Dantchev, M.D. for contributing access to patient included in Hôtel-Dieu Hospital (Paris, France). They also acknowledge Strasbourg University (SATT Conectus) for sponsorship of the study in adults with MDD and Sainte-Anne Hospital (Paris, France) for sponsorship of the adolescent depression study. The authors report no biomedical financial interests or potential conflicts of interest.
Funding Information:
This work was supported by the Agence Nationale de la Recherche (Grant No. ANR-12-SAMA-0004 ), Assistance Publique-Hôpitaux de Paris and INSERM (interface grant), Paris Descartes University (Grant No. collaborative-project-2010), Paris Sud University (Grant No. IDEX-2012), the European Union–funded FP6 Integrated Project IMAGEN (Grant No. LSHM-CT-2007-037286), Eranet Neuron (Grant No. ANR-18-NEUR00002-01–ADORe), Fondation de l'Avenir (Grant No. AP-RM-17-013), Fondation de France (Grant No. 00081242), Fédération pour la Recherche sur le Cerveau, and Fondation pour la Recherche Médicale (Grant No. DPA20140629802).
Publisher Copyright:
© 2021
PY - 2022/4
Y1 - 2022/4
N2 - Background: The spatial functional chronnectome is an innovative mathematical model designed to capture dynamic features in the organization of brain function derived from resting-state functional magnetic resonance imaging data. Measurements of dynamic functional connectivity have been developed from this model to quantify the brain dynamical self-reconfigurations at different spatial and temporal scales. This study examined whether two spatiotemporal dynamic functional connectivity quantifications were linked to late adolescence-onset major depressive disorder (AO-MDD), and scaled with depression and symptom severity measured with the Montgomery–Åsberg Depression Rating Scale. Methods: Thirty-five patients with AO-MDD (21 ± 6 years of age) and 53 age- and sex-matched healthy young participants (20 ± 3 years of age) underwent 3T magnetic resonance imaging structural and resting-state functional magnetic resonance imaging acquisitions. The chronnectome here comprised seven individualized functional networks portrayed along 132 temporal overlapping windows, each framing 110 seconds of resting brain activity. Results: Based on voxelwise analyses, patients with AO-MDD demonstrated significantly reduced temporal variability within the bilateral prefrontal cortex in five functional networks including the limbic network, default mode network, and frontoparietal network. Furthermore, the limbic network appeared to be particularly involved in this sample and was associated with Montgomery–Åsberg Depression Rating Scale scores, and its progressive dynamic inflexibility was linked to sadness. Default mode network and frontoparietal network dynamics scaled with negative thoughts and neurovegetative symptoms, respectively. Conclusions: This triple-network imbalance could delay spatiotemporal integration, while across-subject symptom variability would be network specific. Therefore, the present approach supports that brain network dynamics underlie patients’ symptom heterogeneity in AO-MDD.
AB - Background: The spatial functional chronnectome is an innovative mathematical model designed to capture dynamic features in the organization of brain function derived from resting-state functional magnetic resonance imaging data. Measurements of dynamic functional connectivity have been developed from this model to quantify the brain dynamical self-reconfigurations at different spatial and temporal scales. This study examined whether two spatiotemporal dynamic functional connectivity quantifications were linked to late adolescence-onset major depressive disorder (AO-MDD), and scaled with depression and symptom severity measured with the Montgomery–Åsberg Depression Rating Scale. Methods: Thirty-five patients with AO-MDD (21 ± 6 years of age) and 53 age- and sex-matched healthy young participants (20 ± 3 years of age) underwent 3T magnetic resonance imaging structural and resting-state functional magnetic resonance imaging acquisitions. The chronnectome here comprised seven individualized functional networks portrayed along 132 temporal overlapping windows, each framing 110 seconds of resting brain activity. Results: Based on voxelwise analyses, patients with AO-MDD demonstrated significantly reduced temporal variability within the bilateral prefrontal cortex in five functional networks including the limbic network, default mode network, and frontoparietal network. Furthermore, the limbic network appeared to be particularly involved in this sample and was associated with Montgomery–Åsberg Depression Rating Scale scores, and its progressive dynamic inflexibility was linked to sadness. Default mode network and frontoparietal network dynamics scaled with negative thoughts and neurovegetative symptoms, respectively. Conclusions: This triple-network imbalance could delay spatiotemporal integration, while across-subject symptom variability would be network specific. Therefore, the present approach supports that brain network dynamics underlie patients’ symptom heterogeneity in AO-MDD.
KW - Dynamic functional connectivity
KW - Functional chronnectome
KW - Independent component analysis
KW - Major depressive disorder
KW - Montgomery–Åsberg Depression Rating Scale
KW - Resting-state fMRI
UR - http://www.scopus.com/inward/record.url?scp=85127448511&partnerID=8YFLogxK
U2 - 10.1016/j.bpsc.2021.05.003
DO - 10.1016/j.bpsc.2021.05.003
M3 - Article
C2 - 34051395
AN - SCOPUS:85127448511
SN - 2451-9022
VL - 7
SP - 385
EP - 396
JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
IS - 4
ER -