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2. DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

Author

Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., and Goya-Maldonado, Roberto

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used globally representative data from the ENIGMA-MDD working group containing an extensive sample of people with MDD (N=2,772) and HC (N=4,240), which allows a comprehensive analysis with generalizable results. Based on the hypothesis that integration of vertex-wise cortical features can improve classification performance, we evaluated the classification of a DenseNet and a Support Vector Machine (SVM), with the expectation that the former would outperform the latter. As we analyzed a multi-site sample, we additionally applied the ComBat harmonization tool to remove potential nuisance effects of site. We found that both classifiers exhibited close to chance performance (balanced accuracy DenseNet: 51%; SVM: 53%), when estimated on unseen sites. Slightly higher classification performance (balanced accuracy DenseNet: 58%; SVM: 55%) was found when the cross-validation folds contained subjects from all sites, indicating site effect. In conclusion, the integration of vertex-wise morphometric features and the use of the non-linear classifier did not lead to the differentiability between MDD and HC. Our results support the notion that MDD classification on this combination of features and classifiers is unfeasible.

Published
2023

3. Radiological pulmonary sequelae after COVID-19 and correlation with clinical and functional pulmonary evaluation: results of a prospective cohort

Author

Soliman, Samer, Soliman, Heithem, Crézé, Maud, Brillet, Pierre-Yves, Montani, David, Savale, Laurent, Jais, Xavier, Bulifon, Sophie, Jutant, Etienne-Marie, Rius, Emily, Devilder, Matthieu, Beurnier, Antoine, Colle, Romain, Gasnier, Matthieu, Pham, Tài, Morin, Luc, Noel, Nicolas, Lecoq, Anne-Lise, Becquemont, Laurent, Figueiredo, Samy, Harrois, Anatole, Bellin, Marie-France, Monnet, Xavier, and Meyrignac, Olivier

Published
2024
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5. Four- and sixteen-month clinical status of a cohort of patients following hospitalization for COVID-19

Author

Pham, Tài, Morin, Luc, Savale, Laurent, Colle, Romain, Figueiredo, Samy, Harrois, Anatole, Gasnier, Matthieu, Lecoq, Anne-Lise, Meyrignac, Olivier, Noel, Nicolas, Abdo, Alain, Baudry, Elodie, Bellin, Marie-France, Beurnier, Antoine, Choucha, Walid, Corruble, Emmanuelle, Dortet, Laurent, Gosset, Eugénie, Hardy-Leger, Isabelle, Quinque, Marie, Radiguer, François, Sportouch, Sabine, Verny, Christiane, Wyplosz, Benjamin, Zaidan, Mohamad, Becquemont, Laurent, Montani, David, and Monnet, Xavier

Published
2024
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8. Syndrome post-COVID-19

Author

Montani, David, Savale, Laurent, Noel, Nicolas, Meyrignac, Olivier, Colle, Romain, Gasnier, Matthieu, Corruble, Emmanuelle, Beurnier, Antoine, Jutant, Etienne-Marie, Pham, Tai, Lecoq, Anne-Lise, Papon, Jean-François, Figuereido, Samy, Harrois, Anatole, Humbert, Marc, and Monnet, Xavier

Published
2023
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10. Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium

Author

van Velzen, Laura S., Dauvermann, Maria R., Colic, Lejla, Villa, Luca M., Savage, Hannah S., Toenders, Yara J., Zhu, Alyssa H., Bright, Joanna K., Campos, Adrián I., Salminen, Lauren E., Ambrogi, Sonia, Ayesa-Arriola, Rosa, Banaj, Nerisa, Başgöze, Zeynep, Bauer, Jochen, Blair, Karina, Blair, Robert James, Brosch, Katharina, Cheng, Yuqi, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Crespo-Facorro, Benedicto, Cullen, Kathryn R., Dannlowski, Udo, Davey, Christopher G., Dohm, Katharina, Fullerton, Janice M., Gonul, Ali Saffet, Gotlib, Ian H., Grotegerd, Dominik, Hahn, Tim, Harrison, Ben J., He, Mengxin, Hickie, Ian B., Ho, Tiffany C., Iorfino, Frank, Jansen, Andreas, Jollant, Fabrice, Kircher, Tilo, Klimes-Dougan, Bonnie, Klug, Melissa, Leehr, Elisabeth J., Lippard, Elizabeth T. C., McLaughlin, Katie A., Meinert, Susanne, Miller, Adam Bryant, Mitchell, Philip B., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Overs, Bronwyn J., Pfarr, Julia-Katharina, Piras, Fabrizio, Ringwald, Kai G., Roberts, Gloria, Romer, Georg, Sanches, Marsal, Sheridan, Margaret A., Soares, Jair C., Spalletta, Gianfranco, Stein, Frederike, Teresi, Giana I., Tordesillas-Gutiérrez, Diana, Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J., Vermeiren, Robert R. J. M., Winter, Alexandra, Wu, Mon-Ju, Yang, Tony T., Thompson, Paul M., Rentería, Miguel E., Jahanshad, Neda, Blumberg, Hilary P., van Harmelen, Anne-Laura, and Schmaal, Lianne

Published
2022
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13. Blood microbiota and metabolomic signature of major depression before and after antidepressant treatment: a prospective case-control study

Author

Ciocan, Dragos, Cassard, Anne-Marie, Becquemont, Laurent, Verstuyft, Celine, Voican, Cosmin Sebastian, Asmar, Khalil El, Colle, Romain, David, Denis, Trabado, Severine, Feve, Bruno, Chanson, Philippe, Perlemuter, Gabriel, and Corruble, Emmanuelle

Subjects
Major depressive disorder -- Drug therapy -- Patient outcomes, Microbiota (Symbiotic organisms) -- Physiological aspects, Antidepressants -- Dosage and administration -- Patient outcomes, Blood -- Physiological aspects, Health, Psychology and mental health
Abstract

Background: The microbiota interacts with the brain through the gut-brain axis, and a distinct dysbiosis may lead to major depressive episodes. Bacteria can pass through the gut barrier and be found in the blood. Using a multiomic approach, we investigated whether a distinct blood microbiome and metabolome was associated with major depressive episodes, and how it was modulated by treatment. Methods: In this case-control multiomic study, we analyzed the blood microbiome composition, inferred bacterial functions and metabolomic profile of 56 patients experiencing a current major depressive episode and 56 matched healthy controls, before and after treatment, using 16S rDNA sequencing and liquid chromatography coupled to tandem mass spectrometry. Results: The baseline blood microbiome in patients with a major depressive episode was distinct from that of healthy controls (patients with a major depressive episode had a higher proportion of Janthinobacterium and lower levels of Neisseria) and changed after antidepressant treatment. Predicted microbiome functions confirmed by metabolomic profiling showed that patients who were experiencing a major depressive episode had alterations in the cyanoamino acid pathway at baseline. High baseline levels of Firmicutes and low proportions of Bosea and Tetrasphaera were associated with response to antidepressant treatment. Based on inferred baseline metagenomic profiles, bacterial pathways that were significantly associated with treatment response were related to xenobiotics, amino acids, and lipid and carbohydrate metabolism, including tryptophan and drug metabolism. Metabolomic analyses showed that plasma tryptophan levels are independently associated with response to antidepressant treatment. Limitations: Our study has some limitations, including a lack of information on blood microbiome origin and the lack of a validation cohort to confirm our results. Conclusion: Patients with depression have a distinct blood microbiome and metabolomic signature that changes after treatment. Dysbiosis could be a new therapeutic target and prognostic tool for the treatment of patients who are experiencing a major depressive episode., Introduction Major depressive disorder (MDD) is the second most frequent cause of disability worldwide, (1) and it is among the diseases with the greatest effect on public health. (2) It [...]

Published
2021
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14. Habenular volume changes after venlafaxine treatment in patients with major depression.

Author

Etienne, Josselin, Boutigny, Alexandre, David, Denis J, Deflesselle, Eric, Gressier, Florence, Becquemont, Laurent, Corruble, Emmanuelle, and Colle, Romain

Subjects
MENTAL depression, AFFECTIVE disorders, DEPRESSED persons, VENLAFAXINE, CELL proliferation
Abstract

Background: Habenula, a hub brain region controlling monoaminergic brain center, has been implicated in major depressive disorder (MDD) and as a possible target of antidepressant response. Nevertheless, the effect of antidepressant drug treatment on habenular volumes remains unknown. The objective of the present research was to study habenular volume change after antidepressant treatment in patients with MDD, and assess whether it is associated with clinical improvement. Methods: Fifty patients with a current major depressive episode (MDE) in the context of MDD, and antidepressant‐free for at least 1 month, were assessed for habenula volume (3T MRI with manual segmentation) before and after a 3 months sequence of venlafaxine antidepressant treatment. Results: A 2.3% significant increase in total habenular volume (absolute volume: P = 0.0013; relative volume: P = 0.0055) and a 3.3% significant increase in left habenular volume (absolute volume: P = 0.00080; relative volume: P = 0.0028) were observed. A significant greater variation was observed in male patients (4.8%) compared to female patients. No association was observed between habenular volume changes and response and remission. Some habenula volume changes were associated with improvement of olfactory pleasantness. Conclusion: Habenular volumes increased after 3 months of venlafaxine treatment in depressed patients. Further studies should assess whether cell proliferation and density or dendritic structure variations are implied in these volume changes. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Unlike other medical conditions, type 2 diabetes is a risk factor for new-onset major depression after COVID-19

Author

Morin, Luc, Savale, Laurent, Pham, Tài, Colle, Romain, Figueiredo, Samy, Harrois, Anatole, Gasnier, Matthieu, Lecoq, Anne-Lise, Meyrignac, Olivier, Noel, Nicolas, Baudry, Elodie, Bellin, Marie-France, Beurnier, Antoine, Choucha, Walid, Corruble, Emmanuelle, Dortet, Laurent, Hardy-Leger, Isabelle, Radiguer, François, Sportouch, Sabine, Verny, Christiane, Wyplosz, Benjamin, Zaidan, Mohamad, Becquemont, Laurent, Montani, David, Monnet, Xavier, Gosset-Grainville, Eugénie, Quinque, Marie, Alaoui, Wassim Najib, and Deflesselle, Eric

Published
2024
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22. Cover Image, Volume 33, Issue 10

Author

Mendez‐David, Indira, primary, David, Denis Joseph, additional, Deloménie, Claudine, additional, Tritchler, Laurent, additional, Beaulieu, Jean‐Martin, additional, Colle, Romain, additional, Corruble, Emmanuelle, additional, Gardier, Alain Michel, additional, and Hen, René, additional

Published
2023
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28. Metabolomic profiles of 38 acylcarnitines in major depressive episodes before and after treatment.

Author

Ait Tayeb, Abd El Kader, Colle, Romain, Chappell, Kenneth, El-Asmar, Khalil, Acquaviva-Bourdain, Cécile, David, Denis J., Trabado, Séverine, Chanson, Philippe, Feve, Bruno, Becquemont, Laurent, Verstuyft, Céline, and Corruble, Emmanuelle

Subjects
*RESEARCH funding, *LIQUID chromatography-mass spectrometry, *CARNITINE, *LONGITUDINAL method, *METABOLOMICS, *MITOCHONDRIAL pathology, *MENTAL depression
Abstract

Background: Major depression is associated with changes in plasma L-carnitine and acetyl-L-carnitine. But its association with acylcarnitines remains unclear. The aim of this study was to assess metabolomic profiles of 38 acylcarnitines in patients with major depression before and after treatment compared to healthy controls (HCs). Methods: Metabolomic profiles of 38 plasma short-, medium-, and long-chain acylcarnitines were performed by liquid chromatography-mass spectrometry in 893 HCs from the VARIETE cohort and 460 depressed patients from the METADAP cohort before and after 6 months of antidepressant treatment. Results: As compared to HCs, depressed patients had lower levels of medium- and long-chain acylcarnitines. After 6 months of treatment, increased levels of medium- and long-chain acyl-carnitines were observed that no longer differed from those of controls. Accordingly, several medium- and long-chain acylcarnitines were negatively correlated with depression severity. Conclusions: These medium- and long-chain acylcarnitine dysregulations argue for mitochondrial dysfunction through fatty acid β -oxidation impairment during major depression. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Metabolomic profiles of 38 acylcarnitines in major depressive episodes before and after treatment

Author

Ait Tayeb, Abd El Kader, primary, Colle, Romain, additional, Chappell, Kenneth, additional, El-Asmar, Khalil, additional, Acquaviva-Bourdain, Cécile, additional, David, Denis J., additional, Trabado, Séverine, additional, Chanson, Philippe, additional, Feve, Bruno, additional, Becquemont, Laurent, additional, Verstuyft, Céline, additional, and Corruble, Emmanuelle, additional

Published
2023
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30. Intrahippocampal injection of a selective blocker of NMDA receptors containing the GluN2B subunit, Ro25‐6981, increases glutamate neurotransmission and induces antidepressant‐like effects

Author

Doan, Julie, primary, Defaix, Céline, additional, Mendez‐David, Indira, additional, Gardier, Alain M., additional, Colle, Romain, additional, Corruble, Emmanuelle, additional, McGowan, Josephine C., additional, David, Denis J., additional, Guilloux, Jean‐Philippe, additional, and Tritschler, Laurent, additional

Published
2023
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35. Association of the GRIK4rs1954787 polymorphism with clinical response in antidepressant-treated depressed patients: results from a prospective cohort and meta-analysis

Author

Chappell, Kenneth, Colle, Romain, El Asmar, Khalil, Gressier, Florence, Bouligand, Jérôme, Trabado, Séverine, Fève, Bruno, Becquemont, Laurent, Corruble, Emmanuelle, and Verstuyft, Céline

Abstract

Major Depressive Disorder (MDD) is the leading cause of disability worldwide. Genetic factors influence the effect of its main treatment option, antidepressant drugs (ATD). The GRIK4rs1954787(T>C) genetic polymorphism was associated with response following 1–3 months of ATD treatment in some studies, but not others. We aimed to analyze its association with clinical outcomes in a cohort of 6-month ATD-treated patients and meta-analysis. Clinical data were obtained at baseline and after 1 (M1), 3 (M3), and 6 (M6) months of ATD treatment in 390 patients of the METADAP cohort. Mixed-effects models were used to assess the association of the GRIK4rs1954787 polymorphism with the Hamilton Depression Rating Scale (HDRS) score and response and remission rates across time. Meta-analyses of ATD treatment response were performed with previously meta-analyzed data and METADAP. Compared to C allele carriers at M3 (n = 200), TT homozygotes at M3 (n = 66) had higher HDRS scores (coef = 3.37, 95% CI [1.30–5.54], Padj= 0.0046) and lower remission rates (OR = 0.36, 95% CI [0.16–0.76], Padj= 0.029). At M6, greater differences between TT homozygotes (n = 53) and C allele carriers (n = 152) were observed for HDRS scores (coef = 4.68, 95% CI [2.17–7.18], Padj= 0.00091) and remission rates (OR = 0.26, 95% CI [0.12–0.54], Padj= 0.0016). Meta-analyses of response were significant when comparing C vs T alleles (OR = 1.31, 95% CI [1.06–1.62], P= 0.014) and CC vs TT genotypes (OR = 1.63, 95% CI [1.10–2.38], P= 0.019). Altogether, our results support an association of the GRIK4rs1954787(T>C) polymorphism with clinical improvement following ATD treatment. This association should be further assessed in other longitudinal studies. Its position within the glutamatergic system may help in understanding the mechanism of ATD action.

Published
2024
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36. Acute COVID-19 severity markers predict post-COVID new-onset psychiatric disorders: A 2-year cohort study of 34,489 patients

Author

Gasnier, Matthieu, Pinson, Pierre, Beeker, Nathanael, Truong-Allié, Camille, Becquemont, Laurent, Falissard, Bruno, Corruble, Emmanuelle, and Colle, Romain

Abstract

New-onset psychiatric disorders are frequent after COVID-19. We aim to determine whether acute COVID-19 severity markers can predict post-COVID new-onset psychiatric disorders. We conducted an electronic health records (EHR) cohort study of patients hospitalized for COVID-19 and without any known history of psychiatric disorders. Patients were included between January 2020 and September 2022 in one of the 36 university hospitals of the Assistance Publique - Hôpitaux de Paris. Acute COVID-19 clinical and biological severity markers were recorded during hospitalization for COVID-19. Psychiatric ICD-10 diagnoses were recorded up to 2 years and 9 months after hospitalization for COVID-19. Predictors of post-COVID new-onset psychiatric disorders were identified based on Cox regression models and sensitivity analyses. Predictive scores were built and tested in age- and sex-stratified populations. A total 34,489 patients hospitalized for COVID-19 were included; 3717 patients (10.8%) had at least one post-COVID new-onset psychiatric disorder. Hospital stay >7 days (HR = 1.72, 95%CI [1.59–1.86], p< 0.001), acute delirium (HR = 1.49, 95%CI [1.28–1.74], p< 0.001), elevated monocyte count (HR = 1.14, 95%CI [1.06–1.23], p< 0.001) and elevated plasma CRP (HR = 0.92, 95%CI [0.86–0.99], p= 0.04) independently predicted post-COVID new-onset psychiatric disorders. Sensitivity analyses confirmed hospital stay >7 days, acute delirium, and elevated monocyte count as predictors. Predictive scores based on these variables had good 12-month positive predictive values, up to 7.5 times more accurate than random in women < 65 years. In conclusion, hospital stay >7 days, acute delirium, and elevated monocyte count during acute COVID-19 predict post-COVID new-onset psychiatric disorders.

Published
2024
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37. A complex relation between levels of adult hippocampal neurogenesis and expression of the immature neuron marker doublecortin.

Author

Mendez‐David, Indira, David, Denis Joseph, Deloménie, Claudine, Tritchler, Laurent, Beaulieu, Jean‐Martin, Colle, Romain, Corruble, Emmanuelle, Gardier, Alain Michel, and Hen, René

Subjects
GRANULE cells, HIPPOCAMPUS (Brain), NEUROGENESIS, NEURAL stem cells, NEURONS, FLUOXETINE
Abstract

We investigated the mechanisms underlying the effects of the antidepressant fluoxetine on behavior and adult hippocampal neurogenesis (AHN). After confirming our earlier report that the signaling molecule β‐arrestin‐2 (β‐Arr2) is required for the antidepressant‐like effects of fluoxetine, we found that the effects of fluoxetine on proliferation of neural progenitors and survival of adult‐born granule cells are absent in the β‐Arr2 knockout (KO) mice. To our surprise, fluoxetine induced a dramatic upregulation of the number of doublecortin (DCX)‐expressing cells in the β‐Arr2 KO mice, indicating that this marker can be increased even though AHN is not. We discovered two other conditions where a complex relationship occurs between the number of DCX‐expressing cells compared to levels of AHN: a chronic antidepressant model where DCX is upregulated and an inflammation model where DCX is downregulated. We concluded that assessing the number of DCX‐expressing cells alone to quantify levels of AHN can be complex and that caution should be applied when label retention techniques are unavailable. [ABSTRACT FROM AUTHOR]

Published
2023
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41. sj-docx-1-tpp-10.1177_20451253231151327 – Supplemental material for Ketamine and esketamine in suicidal thoughts and behaviors: a systematic review

Author

Jollant, Fabrice, Colle, Romain, Nguyen, Thi Mai Loan, Corruble, Emmanuelle, Gardier, Alain M., Walter, Martin, Abbar, Mocrane, and Wagner, Gerd

Subjects
FOS: Clinical medicine, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
Abstract

Supplemental material, sj-docx-1-tpp-10.1177_20451253231151327 for Ketamine and esketamine in suicidal thoughts and behaviors: a systematic review by Fabrice Jollant, Romain Colle, Thi Mai Loan Nguyen, Emmanuelle Corruble, Alain M. Gardier, Martin Walter, Mocrane Abbar and Gerd Wagner in Therapeutic Advances in Psychopharmacology

Published
2023
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43. Habenular volume in depressed patients

Author

Etienne, Josselin, primary, Boutigny, Alexandre, additional, Minh Ngoc Thien, Kim Tran Dong, additional, Ducreux, Denis, additional, Deflesselle, Eric, additional, Chappell, Kenneth, additional, Gressier, Florence, additional, Becquemont, Laurent, additional, Corruble, Emmanuelle, additional, and Colle, Romain, additional

Published
2022
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44. A large-scale ENIGMA multisite replication study of brain age in depression

Author

Han, Laura K.M., primary, Dinga, Richard, additional, Leenings, Ramona, additional, Hahn, Tim, additional, Cole, James H., additional, Aftanas, Lyubomir I., additional, Amod, Alyssa R., additional, Besteher, Bianca, additional, Colle, Romain, additional, Corruble, Emmanuelle, additional, Couvy-Duchesne, Baptiste, additional, Danilenko, Konstantin V., additional, Fuentes-Claramonte, Paola, additional, Gonul, Ali Saffet, additional, Gotlib, Ian H., additional, Goya-Maldonado, Roberto, additional, Groenewold, Nynke A., additional, Hamilton, Paul, additional, Ichikawa, Naho, additional, Ipser, Jonathan C., additional, Itai, Eri, additional, Koopowitz, Sheri-Michelle, additional, Li, Meng, additional, Okada, Go, additional, Okamoto, Yasumasa, additional, Churikova, Olga S., additional, Osipov, Evgeny A., additional, Penninx, Brenda W.J.H., additional, Pomarol-Clotet, Edith, additional, Rodríguez-Cano, Elena, additional, Sacchet, Matthew D., additional, Shinzato, Hotaka, additional, Sim, Kang, additional, Stein, Dan J., additional, Uyar-Demir, Aslihan, additional, Veltman, Dick J., additional, and Schmaal, Lianne, additional

Published
2022
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47. Peripheral proteomic changes after electroconvulsive seizures in a rodent model of non-response to chronic fluoxetine

Author

Lebeau, Rodolphe H., primary, Mendez-David, Indira, additional, Kucynski-Noyau, Laura, additional, Henry, Céline, additional, Attali, David, additional, Plaze, Marion, additional, Colle, Romain, additional, Corruble, Emmanuelle, additional, Gardier, Alain M., additional, Gaillard, Raphaël, additional, Guilloux, Jean-Philippe, additional, and David, Denis J., additional

Published
2022
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49. The association of ARRB1 polymorphisms with response to antidepressant treatment in depressed patients

Author

Chappell, Kenneth, primary, Ait Tayeb, Abd El Kader, additional, Colle, Romain, additional, Bouligand, Jérôme, additional, El-Asmar, Khalil, additional, Gressier, Florence, additional, Trabado, Séverine, additional, David, Denis Joseph, additional, Feve, Bruno, additional, Becquemont, Laurent, additional, Corruble, Emmanuelle, additional, and Verstuyft, Céline, additional

Published
2022
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