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Article ; Online: Editorial: The Altered Brain Network Architecture of Anorexia Nervosa.

Desrivières, Sylvane

Journal of the American Academy of Child and Adolescent Psychiatry

2021 Volume 61, Issue 2, Page(s) 142–143

Abstract: A deeper understanding of neurobiological basis of disease is key to mental health research and clinical practice. This could lead to more targeted treatments, improved survival rates, and better outcomes. This is the challenge now undertaken by ... ...

Abstract	A deeper understanding of neurobiological basis of disease is key to mental health research and clinical practice. This could lead to more targeted treatments, improved survival rates, and better outcomes. This is the challenge now undertaken by scientists around the globe who study the human brain in health and disease to identify brain systems involved in clinical syndromes. Several well-powered magnetic resonance imaging (MRI) studies have established the existence of differences in brain structure in several groups of patients compared to healthy individuals.
MeSH term(s)	Anorexia Nervosa/diagnostic imaging ; Anorexia Nervosa/physiopathology ; Brain/diagnostic imaging ; Brain/physiopathology ; Humans ; Magnetic Resonance Imaging/methods ; Mental Health ; Neurobiology
Language	English
Publishing date	2021-09-27
Publishing country	United States
Document type	Editorial ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	392535-3
ISSN	1527-5418 ; 0890-8567
ISSN (online)	1527-5418
ISSN	0890-8567
DOI	10.1016/j.jaac.2021.09.396
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Article ; Online: Altered anticipatory brain responses in eating disorders: A neuroimaging meta-analysis.

Yu, Xinyang / Desrivières, Sylvane

European eating disorders review : the journal of the Eating Disorders Association

2023 Volume 31, Issue 3, Page(s) 363–376

Abstract: Objective: Functional neuroimaging studies have found differential neural activation patterns during anticipation-related paradigms in participants with eating disorders (EDs) compared to controls. However, publications reported conflicting results on ... ...

Abstract	Objective: Functional neuroimaging studies have found differential neural activation patterns during anticipation-related paradigms in participants with eating disorders (EDs) compared to controls. However, publications reported conflicting results on the directionality and location of the abnormal activations. There is an urgent need to integrate our existing knowledge of anticipation, both rewarding and aversive, to elucidate these differences. Method: We conducted an activation likelihood estimation (ALE) meta-analysis to quantitatively review functional neuroimaging studies that evaluated differences between brain correlates of anticipation in participants with and without disordered eating. PubMed, Web of Sciences, PsycINFO, Medline and EMBASE were searched for studies published up to November 2022. Exploratory sub-analyses to check for differences between reward and non-reward anticipation among all anticipation paradigms. Results: Twenty-one references met the inclusion criteria for meta-analysis. The meta-analysis across anticipation all tasks identified a significant hyperactivation cluster in the right putamen in participants with disordered eating (n = 17 experiments) and a significant hypoactivation cluster in the left inferior parietal lobule (n = 13 experiments), in participants with disordered eating compared to controls. Conclusions: These findings and sub-analyses of reward- and non-reward-related cues suggest potential pathophysiological mechanisms underlying anticipatory responses to rewarding and aversive cues in ED.
MeSH term(s)	Humans ; Magnetic Resonance Imaging ; Brain ; Functional Neuroimaging ; Affect ; Feeding and Eating Disorders/diagnostic imaging
Language	English
Publishing date	2023-01-13
Publishing country	England
Document type	Meta-Analysis ; Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	1159507-3
ISSN	1099-0968 ; 1067-1633 ; 1072-4133
ISSN (online)	1099-0968
ISSN	1067-1633 ; 1072-4133
DOI	10.1002/erv.2967
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Article ; Online: Evaluation of behavioral variance/covariance explained by the neuroimaging data through a pattern-based regression.

Chen, Di / Jia, Tianye / Cheng, Wei / Desrivières, Sylvane / Heinz, Andreas / Schumann, Gunter / Feng, Jianfeng

Human brain mapping

2024 Volume 45, Issue 4, Page(s) e26601

Abstract: Neuroimaging data have been widely used to understand the neural bases of human behaviors. However, most studies were either based on a few predefined regions of interest or only able to reveal limited vital regions, hence not providing an overarching ... ...

Abstract	Neuroimaging data have been widely used to understand the neural bases of human behaviors. However, most studies were either based on a few predefined regions of interest or only able to reveal limited vital regions, hence not providing an overarching description of the relationship between neuroimaging and behaviors. Here, we proposed a voxel-based pattern regression that not only could investigate the overall brain-associated variance (BAV) for a given behavioral measure but could also evaluate the shared neural bases between different behaviors across multiple neuroimaging data. The proposed method demonstrated consistently high reliability and accuracy through comprehensive simulations. We further implemented this approach on real data of adolescents (IMAGEN project, n = 2089) and adults (HCP project, n = 808) to investigate brain-based variances of multiple behavioral measures, for instance, cognitive behaviors, substance use, and psychiatric disorders. Notably, intelligence-related scores showed similar high BAVs with the gray matter volume across both datasets. Further, our approach allows us to reveal the latent brain-based correlation across multiple behavioral measures, which are challenging to obtain otherwise. For instance, we observed a shared brain architecture underlying depression and externalizing problems in adolescents, while the symptom comorbidity may only emerge later in adults. Overall, our approach will provide an important statistical tool for understanding human behaviors using neuroimaging data.
MeSH term(s)	Adult ; Adolescent ; Humans ; Reproducibility of Results ; Neuroimaging ; Brain/diagnostic imaging ; Gray Matter/diagnostic imaging ; Substance-Related Disorders ; Magnetic Resonance Imaging
Language	English
Publishing date	2024-03-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	1197207-5
ISSN	1097-0193 ; 1065-9471
ISSN (online)	1097-0193
ISSN	1065-9471
DOI	10.1002/hbm.26601
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Article ; Online: The relationship between negative life events and cortical structural connectivity in adolescents.

Sibilia, Francesca / Jost-Mousseau, Coline / Banaschewski, Tobias / Barker, Gareth J / Büchel, Christian / Desrivières, Sylvane / Flor, Herta / Grigis, Antoine / Garavan, Hugh / Gowland, Penny / Heinz, Andreas / Ittermann, Bernd / Martinot, Jean-Luc / Martinot, Marie-Laure Paillère / Artiges, Eric / Nees, Frauke / Orfanos, Dimitri Papadopoulos / Poustka, Luise / Millenet, Sabina /

Fröhner, Juliane H / Smolka, Michael N / Walter, Henrik / Whelan, Robert / Schumann, Gunter / Bokde, Arun L W

IBRO neuroscience reports

2024 Volume 16, Page(s) 201–210

Abstract: Adolescence is a crucial period for physical and psychological development. The impact of negative life events represents a risk factor for the onset of neuropsychiatric disorders. This study aims to investigate the relationship between negative life ... ...

Abstract	Adolescence is a crucial period for physical and psychological development. The impact of negative life events represents a risk factor for the onset of neuropsychiatric disorders. This study aims to investigate the relationship between negative life events and structural brain connectivity, considering both graph theory and connectivity strength. A group (n = 487) of adolescents from the IMAGEN Consortium was divided into Low and High Stress groups. Brain networks were extracted at an individual level, based on morphological similarity between grey matter regions with regions defined using an atlas-based region of interest (ROI) approach. Between-group comparisons were performed with global and local graph theory measures in a range of sparsity levels. The analysis was also performed in a larger sample of adolescents (n = 976) to examine linear correlations between stress level and network measures. Connectivity strength differences were investigated with network-based statistics. Negative life events were not found to be a factor influencing global network measures at any sparsity level. At local network level, between-group differences were found in centrality measures of the left somato-motor network (a decrease of betweenness centrality was seen at sparsity 5%), of the bilateral central visual and the left dorsal attention network (increase of degree at sparsity 10% at sparsity 30% respectively). Network-based statistics analysis showed an increase in connectivity strength in the High stress group in edges connecting the dorsal attention, limbic and salience networks. This study suggests negative life events alone do not alter structural connectivity globally, but they are associated to connectivity properties in areas involved in emotion and attention.
Language	English
Publishing date	2024-02-01
Publishing country	Netherlands
Document type	Journal Article
ISSN	2667-2421
ISSN (online)	2667-2421
DOI	10.1016/j.ibneur.2024.01.012
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Article ; Online: A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies.

Jiao, Zeyu / Lai, Yinglei / Kang, Jujiao / Gong, Weikang / Ma, Liang / Jia, Tianye / Xie, Chao / Xiang, Shitong / Cheng, Wei / Heinz, Andreas / Desrivières, Sylvane / Schumann, Gunter / Sun, Fengzhu / Feng, Jianfeng

NeuroImage

2022 Volume 255, Page(s) 119166

Abstract: Magnetic Resonance Imaging (MRI) technology has been increasingly used in neuroscience studies. Reproducibility of statistically significant findings generated by MRI-based studies, especially association studies (phenotype vs. MRI metric) and task- ... ...

Abstract	Magnetic Resonance Imaging (MRI) technology has been increasingly used in neuroscience studies. Reproducibility of statistically significant findings generated by MRI-based studies, especially association studies (phenotype vs. MRI metric) and task-induced brain activation, has been recently heavily debated. However, most currently available reproducibility measures depend on thresholds for the test statistics and cannot be use to evaluate overall study reproducibility. It is also crucial to elucidate the relationship between overall study reproducibility and sample size in an experimental design. In this study, we proposed a model-based reproducibility index to quantify reproducibility which could be used in large-scale high-throughput MRI-based studies including both association studies and task-induced brain activation. We performed the model-based reproducibility assessments for a few association studies and task-induced brain activation by using several recent large sMRI/fMRI databases. For large sample size association studies between brain structure/function features and some basic physiological phenotypes (i.e. Sex, BMI), we demonstrated that the model-based reproducibility of these studies is more than 0.99. For MID task activation, similar results could be observed. Furthermore, we proposed a model-based analytical tool to evaluate minimal sample size for the purpose of achieving a desirable model-based reproducibility. Additionally, we evaluated the model-based reproducibility of gray matter volume (GMV) changes for UK Biobank (UKB) vs. Parkinson Progression Marker Initiative (PPMI) and UK Biobank (UKB) vs. Human Connectome Project (HCP). We demonstrated that both sample size and study-specific experimental factors play important roles in the model-based reproducibility assessments for different experiments. In summary, a systematic assessment of reproducibility is fundamental and important in the current large-scale high-throughput MRI-based studies.
MeSH term(s)	Brain/diagnostic imaging ; Connectome ; Gray Matter ; Humans ; Magnetic Resonance Imaging/methods ; Reproducibility of Results
Language	English
Publishing date	2022-04-06
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
ZDB-ID	1147767-2
ISSN	1095-9572 ; 1053-8119
ISSN (online)	1095-9572
ISSN	1053-8119
DOI	10.1016/j.neuroimage.2022.119166
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Zs.A 3664: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Adolescent to young adult longitudinal development of subcortical volumes in two European sites with four waves.

Backhausen, Lea L / Fröhner, Juliane H / Lemaître, Hervé / Artiges, Eric / Martinot, Marie-Laure Palillère / Herting, Megan M / Sticca, Fabio / Banaschewski, Tobias / Barker, Gareth J / Bokde, Arun L W / Desrivières, Sylvane / Flor, Herta / Grigis, Antoine / Garavan, Hugh / Gowland, Penny / Heinz, Andreas / Brühl, Rüdiger / Nees, Frauke / Papadopoulos-Orfanos, Dimitri /

Poustka, Luise / Hohmann, Sarah / Robinson, Lauren / Walter, Henrik / Winterer, Jeanne / Whelan, Robert / Schumann, Gunter / Martinot, Jean-Luc / Smolka, Michael N / Vetter, Nora C

Human brain mapping

2024 Volume 45, Issue 3, Page(s) e26574

Abstract: Adolescent subcortical structural brain development might underlie psychopathological symptoms, which often emerge in adolescence. At the same time, sex differences exist in psychopathology, which might be mirrored in underlying sex differences in ... ...

Abstract	Adolescent subcortical structural brain development might underlie psychopathological symptoms, which often emerge in adolescence. At the same time, sex differences exist in psychopathology, which might be mirrored in underlying sex differences in structural development. However, previous studies showed inconsistencies in subcortical trajectories and potential sex differences. Therefore, we aimed to investigate the subcortical structural trajectories and their sex differences across adolescence using for the first time a single cohort design, the same quality control procedure, software, and a general additive mixed modeling approach. We investigated two large European sites from ages 14 to 24 with 503 participants and 1408 total scans from France and Germany as part of the IMAGEN project including four waves of data acquisition. We found significantly larger volumes in males versus females in both sites and across all seven subcortical regions. Sex differences in age-related trajectories were observed across all regions in both sites. Our findings provide further evidence of sex differences in longitudinal adolescent brain development of subcortical regions and thus might eventually support the relationship of underlying brain development and different adolescent psychopathology in boys and girls.
MeSH term(s)	Humans ; Male ; Adolescent ; Female ; Young Adult ; Longitudinal Studies ; Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging ; Adolescent Development ; Sex Characteristics
Language	English
Publishing date	2024-02-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	1197207-5
ISSN	1097-0193 ; 1065-9471
ISSN (online)	1097-0193
ISSN	1065-9471
DOI	10.1002/hbm.26574
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Article ; Online: Brain Networks and Adolescent Alcohol Use.

Yip, Sarah W / Lichenstein, Sarah D / Liang, Qinghao / Chaarani, Bader / Dager, Alecia / Pearlson, Godfrey / Banaschewski, Tobias / Bokde, Arun L W / Desrivières, Sylvane / Flor, Herta / Grigis, Antoine / Gowland, Penny / Heinz, Andreas / Brühl, Rüdiger / Martinot, Jean-Luc / Martinot, Marie-Laure Paillère / Artiges, Eric / Nees, Frauke / Orfanos, Dimitri Papadopoulos /

Paus, Tomáš / Poustka, Luise / Hohmann, Sarah / Millenet, Sabina / Fröhner, Juliane H / Smolka, Michael N / Vaidya, Nilakshi / Walter, Henrik / Whelan, Robert / Schumann, Gunter / Garavan, Hugh

JAMA psychiatry

2024 Volume 80, Issue 11, Page(s) 1131–1141

Abstract: Importance: Alcohol misuse in adolescence is a leading cause of disability and mortality in youth and is associated with higher risk for alcohol use disorder. Brain mechanisms underlying risk of alcohol misuse may inform prevention and intervention ... ...

Abstract	Importance: Alcohol misuse in adolescence is a leading cause of disability and mortality in youth and is associated with higher risk for alcohol use disorder. Brain mechanisms underlying risk of alcohol misuse may inform prevention and intervention efforts. Objective: To identify neuromarkers of alcohol misuse using a data-driven approach, with specific consideration of neurodevelopmental sex differences. Design, setting, and participants: Longitudinal multisite functional magnetic resonance imaging (fMRI) data collected at ages 14 and 19 years were used to assess whole-brain patterns of functional organization associated with current and future alcohol use risk as measured by the Alcohol Use Disorder Identification Test (AUDIT). Primary data were collected by the IMAGEN consortium, a European multisite study of adolescent neurodevelopment. Model generalizability was further tested using data acquired in a single-site study of college alcohol consumption conducted in the US. The primary sample was a developmental cohort of 1359 adolescents with neuroimaging, phenotyping, and alcohol use data. Model generalizability was further assessed in a separate cohort of 114 individuals. Main outcomes and measures: Brain-behavior model accuracy, as defined by the correspondence between model-predicted and actual AUDIT scores in held-out testing data, Bonferroni corrected across the number of models run at each time point, 2-tailed α < .008, as determined via permutation testing. Results: Among 1359 individuals in the study, the mean (SD) age was 14.42 (0.40) years, and 729 individuals (54%) were female. The data-driven, whole-brain connectivity approach identified networks associated with vulnerability for future and current AUDIT-defined alcohol use risk (primary outcome, as specified above, future: ρ, 0.22; P < .001 and present: ρ, 0.27; P < .001). Results further indicated sex divergence in the accuracies of brain-behavior models, such that female-only models consistently outperformed male-only models. Specifically, female-only models identified networks conferring vulnerability for future and current severity using data acquired during both reward and inhibitory fMRI tasks. In contrast, male-only models were successful in accurately identifying networks using data acquired during the inhibitory control-but not reward-task, indicating domain specificity of alcohol use risk networks in male adolescents only. Conclusions and relevance: These data suggest that interventions focusing on inhibitory control processes may be effective in combating alcohol use risk in male adolescents but that both inhibitory and reward-related processes are likely of relevance to alcohol use behaviors in female adolescents. They further identify novel networks of alcohol use risk in youth, which may be used to identify adolescents who are at risk and inform intervention efforts.
MeSH term(s)	Adolescent ; Humans ; Male ; Female ; Alcoholism ; Underage Drinking ; Brain ; Alcohol Drinking ; Neuroimaging ; Magnetic Resonance Imaging
Language	English
Publishing date	2024-03-18
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2701203-7
ISSN	2168-6238 ; 2168-622X
ISSN (online)	2168-6238
ISSN	2168-622X
DOI	10.1001/jamapsychiatry.2023.2949
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Article: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use.

Weng, Yihe / Kruschwitz, Johann / Rueda-Delgado, Laura M / Ruddy, Kathy / Boyle, Rory / Franzen, Luisa / Serin, Emin / Nweze, Tochukwu / Hanson, Jamie / Smyth, Alannah / Farnan, Tom / Banaschewski, Tobias / Bokde, Arun L W / Desrivières, Sylvane / Flor, Herta / Grigis, Antoine / Garavan, Hugh / Gowland, Penny / Heinz, Andreas /

Brühl, Rüdiger / Martinot, Jean-Luc / Paillère Martinot, Marie-Laure / Artiges, Eric / McGrath, Jane / Nees, Frauke / Orfanos, Dimitri Papadopoulos / Paus, Tomáš / Poustka, Luise / Holz, Nathalie / Fröhner, Juliane H / Smolka, Michael N / Vaidya, Nilakshi / Schumann, Gunter / Walter, Henrik / Whelan, Robert

bioRxiv : the preprint server for biology

2024

Abstract: Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in ... ...

Abstract	Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a consequence of substance-use or a marker of the inclination to engage in such behaviour. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1,000 participants. Behaviours and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use.
Language	English
Publishing date	2024-04-05
Publishing country	United States
Document type	Preprint
DOI	10.1101/2024.04.03.587900
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Article: Regional patterns of human cortex development colocalize with underlying neurobiology.

Lotter, Leon D / Saberi, Amin / Hansen, Justine Y / Misic, Bratislav / Paquola, Casey / Barker, Gareth J / Bokde, Arun L W / Desrivieres, Sylvane / Flor, Herta / Grigis, Antoine / Garavan, Hugh / Gowland, Penny / Heinz, Andreas / Bruehl, Ruediger / Martinot, Jean-Luc / Paillere, Marie-Laure / Artiges, Eric / Papadopoulos Orfanos, Dimitri / Paus, Tomas /

Poustka, Luise / Hohmann, Sarah / Froehner, Juliane H / Smolka, Michael N / Vaidya, Nilakshi / Walter, Henrik / Whelan, Robert / Schumann, Gunter / Nees, Frauke / Banaschewski, Tobias / Eickhoff, Simon B / Dukart, Juergen

bioRxiv : the preprint server for biology

2024

Abstract: Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cerebral ... ...

Abstract	Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cerebral cortex development and aging trajectories unfold along patterns of molecular and cellular brain organization, traceable from population-level to individual developmental trajectories. During childhood and adolescence, cortex-wide spatial distributions of dopaminergic receptors, inhibitory neurons, glial cell populations, and brain-metabolic features explain up to 50% of variance associated with a lifespan model of regional cortical thickness trajectories. In contrast, modeled cortical change patterns during adulthood are best explained by cholinergic and glutamatergic neurotransmitter receptor and transporter distributions. These relationships are supported by developmental gene expression trajectories and translate to individual longitudinal data from over 8,000 adolescents, explaining up to 59% of developmental change at cohort- and 18% at single-subject level. Integrating neurobiological brain atlases with normative modeling and population neuroimaging provides a biologically meaningful path to understand brain development and aging in living humans.
Language	English
Publishing date	2024-05-06
Publishing country	United States
Document type	Preprint
DOI	10.1101/2023.05.05.539537
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Article ; Online: Adolescents' pain-related ontogeny shares a neural basis with adults' chronic pain in basothalamo-cortical organization.

Heukamp, Nils Jannik / Banaschewski, Tobias / Bokde, Arun L W / Desrivières, Sylvane / Grigis, Antoine / Garavan, Hugh / Gowland, Penny / Heinz, Andreas / Kandić, Mina / Brühl, Rüdiger / Martinot, Jean-Luc / Paillère Martinot, Marie-Laure / Artiges, Eric / Papadopoulos Orfanos, Dimitri / Lemaitre, Herve / Löffler, Martin / Poustka, Luise / Hohmann, Sarah / Millenet, Sabina /

Fröhner, Juliane H / Smolka, Michael N / Usai, Katrin / Vaidya, Nilakshi / Walter, Henrik / Whelan, Robert / Schumann, Gunter / Flor, Herta / Nees, Frauke

iScience

2024 Volume 27, Issue 2, Page(s) 108954

Abstract: During late adolescence, the brain undergoes ontogenic organization altering subcortical-cortical circuitry. This includes regions implicated in pain chronicity, and thus alterations in the adolescent ontogenic organization could predispose to pain ... ...

Abstract	During late adolescence, the brain undergoes ontogenic organization altering subcortical-cortical circuitry. This includes regions implicated in pain chronicity, and thus alterations in the adolescent ontogenic organization could predispose to pain chronicity in adulthood - however, evidence is lacking. Using resting-state functional magnetic resonance imaging from a large European longitudinal adolescent cohort and an adult cohort with and without chronic pain, we examined links between painful symptoms and brain connectivity. During late adolescence, thalamo-, caudate-, and red nucleus-cortical connectivity were positively and subthalamo-cortical connectivity negatively associated with painful symptoms. Thalamo-cortical connectivity, but also subthalamo-cortical connectivity, was increased in adults with chronic pain compared to healthy controls. Our results indicate a shared basis in basothalamo-cortical circuitries between adolescent painful symptomatology and adult pain chronicity, with the subthalamic pathway being differentially involved, potentially due to a hyperconnected thalamo-cortical pathway in chronic pain and ontogeny-driven organization. This can inform neuromodulation-based prevention and early intervention.
Language	English
Publishing date	2024-01-17
Publishing country	United States
Document type	Journal Article
ISSN	2589-0042
ISSN (online)	2589-0042
DOI	10.1016/j.isci.2024.108954
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