Search

Your search keyword '"Trivedi, A."' showing total 238 results
Start Over Author "Trivedi, A." Journal biological psychiatry
238 results on '"Trivedi, A."'

4. 184. EEG-Based Brain Connectivity and Sentiment Analysis From Smartphone Communication: Insights Into Remitted Major Depressive Disorder Among Adolescents

Author

Kim, Nayoung, primary, Li, Lilian Y., additional, Letkiewicz, Allison M., additional, Funkhouser, Carter, additional, Umemoto, Akina, additional, Trivedi, Esha, additional, Sritharan, Aishwarya, additional, Massac, Lili, additional, Sarkas, Sarah E., additional, McGregor, Madeline M., additional, Shankman, Stewart A., additional, and Auerbach, Randy P., additional

Published
2024
Full Text
View/download PDF

5. Pretreatment Rostral Anterior Cingulate Cortex Connectivity With Salience Network Predicts Depression Recovery: Findings From the EMBARC Randomized Clinical Trial

Author

Whitton, Alexis E., Webb, Christian A., Dillon, Daniel G., Kayser, Jürgen, Rutherford, Ashleigh, Goer, Franziska, Fava, Maurizio, McGrath, Patrick, Weissman, Myrna, Parsey, Ramin, Adams, Phil, Trombello, Joseph M., Cooper, Crystal, Deldin, Patricia, Oquendo, Maria A., McInnis, Melvin G., Carmody, Thomas, Bruder, Gerard, Trivedi, Madhukar H., and Pizzagalli, Diego A.

Published
2019
Full Text
View/download PDF

6. 537. Baseline Resting-State fMRI Functional Connectivity and Plasma Proteins Improve Predictability of Remission Following Sertraline Pharmacotherapy in Depressed Patients

Author

Grant, Caroline, primary, Marrero-Polanco, Jean, additional, Mayes, Taryn, additional, Carmody, Thomas, additional, Minhajuddin, Abu, additional, Jha, Manish, additional, Croarkin, Paul, additional, Bobo, William, additional, Fatt, Cherise Chin, additional, Athreya, Arjun, additional, and Trivedi, Madhukar, additional

Published
2023
Full Text
View/download PDF

11. Peripheral Inflammation as a Marker of Response to Sequential Pharmacotherapy in Major Depressive Disorder: A CAN-BIND-1 Study

Author

Husain, Muhammad Ishrat, primary, Foster, Jane, additional, Mason, Brittany, additional, Chen, Sheng, additional, Zhao, Haoyu, additional, Wang, Wei, additional, Rotzinger, Susan, additional, Rizvi, Sakina J., additional, Ho, Keith, additional, Lam, Raymond W., additional, MacQueen, Glenda, additional, Milev, Roumen, additional, Frey, Benicio N., additional, Mueller, Daniel J., additional, Turecki, Gustavo, additional, Jha, Manish, additional, Trivedi, Madhukar, additional, and Kennedy, Sidney H., additional

Published
2022
Full Text
View/download PDF

13. Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial

Author

Nguyen, Kevin P., primary, Chin Fatt, Cherise, additional, Treacher, Alex, additional, Mellema, Cooper, additional, Cooper, Crystal, additional, Jha, Manish K., additional, Kurian, Benji, additional, Fava, Maurizio, additional, McGrath, Patrick J., additional, Weissman, Myrna, additional, Phillips, Mary L., additional, Trivedi, Madhukar H., additional, and Montillo, Albert A., additional

Published
2022
Full Text
View/download PDF

14. Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response

Author

Roselinde H. Kaiser, Henry W. Chase, Mary L. Phillips, Thilo Deckersbach, Ramin V. Parsey, Maurizio Fava, Patrick J. McGrath, Myrna Weissman, Maria A. Oquendo, Melvin G. McInnis, Thomas Carmody, Crystal M. Cooper, Madhukar H. Trivedi, and Diego A. Pizzagalli

Subjects
Adult, Depressive Disorder, Major, Sertraline, Brain, Humans, Magnetic Resonance Imaging, Biological Psychiatry, Antidepressive Agents, Biomarkers
Abstract

Delivery of effective antidepressant treatment has been hampered by a lack of objective tools for predicting or monitoring treatment response. This study aimed to address this gap by testing novel dynamic resting-state functional network markers of antidepressant response.The Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study randomized adults with major depressive disorder to 8 weeks of either sertraline or placebo, and depression severity was evaluated longitudinally. Participants completed resting-state neuroimaging pretreatment and again after 1 week of treatment (n = 259 eligible for analyses). Coactivation pattern analyses identified recurrent whole-brain states of spatial coactivation, and computed time spent in each state for each participant was the main dynamic measure. Multilevel modeling estimated the associations between pretreatment network dynamics and sertraline response and between early (pretreatment to 1 week) changes in network dynamics and sertraline response.Dynamic network markers of early sertraline response included increased time in network states consistent with canonical default and salience networks, together with decreased time in network states characterized by coactivation of cingulate and ventral limbic or temporal regions. The effect of sertraline on depression recovery was mediated by these dynamic network changes. In contrast, early changes in dynamic functioning of corticolimbic and frontoinsular-default networks were related to patterns of symptom recovery common across treatment groups.Dynamic resting-state markers of early antidepressant response or general recovery may assist development of clinical tools for monitoring and predicting effective intervention.

Published
2021

16. Pretreatment Rostral Anterior Cingulate Cortex Connectivity With Salience Network Predicts Depression Recovery: Findings From the EMBARC Randomized Clinical Trial

Author

Phil Adams, Ashleigh Rutherford, Melvin G. McInnis, Patrick J. McGrath, Alexis E. Whitton, Crystal Cooper, Christian A. Webb, Daniel G. Dillon, Maurizio Fava, Franziska Goer, Maria A. Oquendo, Myrna M. Weissman, Joseph M. Trombello, Gerard E. Bruder, Thomas J. Carmody, Madhukar H. Trivedi, Diego A. Pizzagalli, Patricia J. Deldin, Jürgen Kayser, and Ramin V. Parsey

Subjects
Adult, Male, 0301 basic medicine, medicine.medical_specialty, Placebo, Gyrus Cinguli, Article, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Sertraline, Neural Pathways, medicine, Humans, Theta Rhythm, Biological Psychiatry, Default mode network, Anterior cingulate cortex, Depressive Disorder, Major, business.industry, Hamilton Rating Scale for Depression, Middle Aged, medicine.disease, Antidepressive Agents, Treatment Outcome, 030104 developmental biology, medicine.anatomical_structure, Posterior cingulate, Major depressive disorder, Female, business, Insula, 030217 neurology & neurosurgery, medicine.drug
Abstract

Background Baseline rostral anterior cingulate cortex (rACC) activity is a well-replicated nonspecific predictor of depression improvement. The rACC is a key hub of the default mode network, which prior studies indicate is hyperactive in major depressive disorder. Because default mode network downregulation is reliant on input from the salience network and frontoparietal network, an important question is whether rACC connectivity with these systems contributes to depression improvement. Methods Our study evaluated this hypothesis in outpatients (N = 238; 151 female) enrolled in the Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) 8-week randomized clinical trial of sertraline versus placebo for major depressive disorder. Depression severity was measured using the Hamilton Rating Scale for Depression, and electroencephalography was recorded at baseline and week 1. Exact low-resolution electromagnetic tomography was used to compute activity from the rACC, and key regions within the default mode network (posterior cingulate cortex), frontoparietal network (left dorsolateral prefrontal cortex), and salience network (right anterior insula [rAI]). Connectivity in the theta band (4.5–7 Hz) and beta band (12.5–21 Hz) was computed using lagged phase synchronization. Results Stronger baseline theta-band rACC–rAI (salience network hub) connectivity predicted greater depression improvement across 8 weeks of treatment for both treatment arms (B = −0.57, 95% confidence interval = −1.07, −0.08, p = .03). Early increases in theta-band rACC–rAI connectivity predicted greater likelihood of achieving remission at week 8 (odds ratio = 2.90, p = .03). Conclusions Among patients undergoing treatment, theta-band rACC–rAI connectivity is a prognostic, albeit treatment-nonspecific, indicator of depression improvement, and early connectivity changes may predict clinically meaningful outcomes.

Published
2019

17. Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial

Author

Manish K. Jha, Madhukar H. Trivedi, Patrick J. McGrath, Benji T. Kurian, Alex Treacher, Kevin P. Nguyen, Maurizio Fava, Myrna M. Weissman, Cooper Mellema, Cherise Chin Fatt, Mary L. Phillips, Crystal Cooper, and Albert Montillo

Subjects
Calcium Phosphates, medicine.medical_specialty, Biomedical Research, Placebo, Article, Task (project management), law.invention, Machine Learning, Physical medicine and rehabilitation, Randomized controlled trial, Reward, law, Sertraline, medicine, Humans, Bupropion, Biological Psychiatry, Depression (differential diagnoses), Depressive Disorder, Major, business.industry, Hamilton Rating Scale for Depression, Brain, Antidepressive Agents, Treatment Outcome, Antidepressant, business, Biomarkers, medicine.drug
Abstract

BACKGROUND: The lack of biomarkers to inform antidepressant selection is a key challenge in personalized depression treatment. This work identifies candidate biomarkers by building deep learning predictors of individual treatment outcomes using reward processing measures from functional MRI, clinical assessments, and demographics. METHODS: Participants in the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study (n = 222) underwent reward processing task-based functional MRI at baseline and were randomized to 8 weeks of sertraline (n = 106) or placebo (n = 116). Subsequently, sertraline non-responders (n = 37) switched to 8 weeks of bupropion. The change in Hamilton Rating Scale for Depression (ΔHAMD) was measured after treatment. Reward processing, clinical measurements, and demographics were used to train treatment-specific deep learning models. RESULTS: The predictive model for sertraline achieved R(2) of 48% (95% CI 33-61%, p < 10(−3)) in predicting ΔHAMD and number-needed-to-treat (NNT) of 4.86 participants in predicting response. The placebo model achieved R(2) of 28% (95% CI 15-42%, p < 10(−3)) and NNT of 2.95 in predicting response. The bupropion model achieved R(2) of 34% (95% CI 10-59%, p < 10(−3)) and NNT of 1.68 in predicting response. Brain regions where reward processing activity was predictive included the prefrontal cortex and cerebellar crus 1 for sertraline and the cingulate cortex, caudate, orbitofrontal cortex, and crus 1 for bupropion. CONCLUSIONS: These findings demonstrate the utility of reward processing measurements and deep learning to predict antidepressant outcomes and to form multimodal treatment biomarkers. CLINICAL TRIAL REGISTRATION: NCT01407094

Published
2020

22. Association Between Habenular Volume and Hemoglobin A1c in Young Adults Differs on the Basis of Smoking Status: Findings From the Human Connectome Project

Author

Jha, Manish, primary, Kim, Joo-Won, additional, Kenny, Paul, additional, Fatt, Cherise Chin, additional, Minhajuddin, Abu, additional, Salas, Ramiro, additional, Klein, Matthew, additional, Ely, Benjamin, additional, Abdallah, Chadi, additional, Xu, Junqian, additional, and Trivedi, Madhukar, additional

Published
2021
Full Text
View/download PDF

28. Association Between Habenular Volume and Hemoglobin A1c in Young Adults Differs on the Basis of Smoking Status: Findings From the Human Connectome Project

Author

Chadi G. Abdallah, Matthew E. Klein, Ramiro Salas, Abu Minhajuddin, Cherise Chin Fatt, Paul J. Kenny, Joo Won Kim, Junqian Xu, Manish K. Jha, Madhukar H. Trivedi, and Benjamin A. Ely

Subjects
Gerontology, Human Connectome Project, business.industry, Medicine, Smoking status, Hemoglobin, Young adult, Association (psychology), business, Biological Psychiatry
Published
2021

29. Whole-Transcriptome Brain Expression and Exon-Usage Profiling in Major Depression and Suicide

Author

Barbara Yang, Manish K. Jha, Valeria Diaz-Pacheco, Bharathi S. Gadad, Ming-Ying Leung, Nikolaos Mellios, Javier-Vargas Medrano, Peter M. Thompson, Enrique I Ramos, and Madhukar H. Trivedi

Subjects
Transcriptome, Brain expression, Exon, Profiling (information science), Computational biology, Biology, Biological Psychiatry, Depression (differential diagnoses)
Published
2021

30. Pretreatment Reward Sensitivity and Frontostriatal Resting-State Functional Connectivity Are Associated With Response to Bupropion After Sertraline Nonresponse

Author

Ang, Yuen-Siang, primary, Kaiser, Roselinde, additional, Deckersbach, Thilo, additional, Almeida, Jorge, additional, Phillips, Mary L., additional, Chase, Henry W., additional, Webb, Christian A., additional, Parsey, Ramin, additional, Fava, Maurizio, additional, McGrath, Patrick, additional, Weissman, Myrna, additional, Adams, Phil, additional, Deldin, Patricia, additional, Oquendo, Maria A., additional, McInnis, Melvin G., additional, Carmody, Thomas, additional, Bruder, Gerard, additional, Cooper, Crystal M., additional, Chin Fatt, Cherise R., additional, Trivedi, Madhukar H., additional, and Pizzagalli, Diego A., additional

Published
2020
Full Text
View/download PDF

34. Cognitive Subtypes of Depression are Associated With Response to Treatment by Sertraline

Author

Ang, Yuen-Siang, primary, Keilp, John, additional, Webb, Christian, additional, Dillon, Daniel, additional, Deldin, Patricia, additional, Alschuler, Daniel, additional, Alvarenga, Jorge, additional, McGrath, Patrick, additional, Weissman, Myrna, additional, Parsey, Ramin, additional, Fava, Maurizio, additional, Trivedi, Madhukar, additional, Bruder, Gerard, additional, and Pizzagalli, Diego, additional

Published
2020
Full Text
View/download PDF

40. Identifying a Frontal Theta Network That Differentially Predicts Outcomes of Treatment With SSRI or Placebo in Depression: A CSD-PCA Approach to Analyze Sensor-Level EEG Connectivity

Author

Jürgen Kayser, Myrna M. Weissman, Gerard E. Bruder, Ezra E. Smith, Diego A. Pizzagalli, Patricia J. Deldin, Melvin G. McInnis, and Madhukar H. Trivedi

Subjects
medicine.medical_specialty, Physical medicine and rehabilitation, medicine.diagnostic_test, business.industry, Medicine, Electroencephalography, business, Placebo, Biological Psychiatry, Depression (differential diagnoses)
Published
2020

41. Association of Anger Attacks With Persistently Elevated Suicidality in Depressed Patients: Do Early Improvements in Irritability Reduce the Risk?

Author

Cherise Chin Fatt, Maurizio Fava, Abu Minhajuddin, Madhukar H. Trivedi, Manish K. Jha, Cristina Cusin, and David Mischoulon

Subjects
medicine.medical_specialty, business.industry, media_common.quotation_subject, medicine, Anger, medicine.symptom, Psychiatry, Association (psychology), business, Irritability, Biological Psychiatry, media_common
Published
2020

43. Functional Neuroimaging Moderators of Improvement in Irritability With Antidepressants vs. Placebo in Adults With Major Depressive Disorder: Findings From the EMBARC Study

Author

Manish K. Jha, Katharina Kircanski, Abu Minhajuddin, Cherise Chin Fatt, Madhukar H. Trivedi, and Ellen Leibenluft

Subjects
business.industry, Functional neuroimaging, Medicine, Major depressive disorder, medicine.symptom, business, Placebo, medicine.disease, Irritability, Biological Psychiatry, Clinical psychology
Published
2021

45. Sex-Specific Differences in the Association Between Obesity and Depression in Large Epidemiological Studies: Findings From Dallas Heart Study and National Health and Nutrition Examination Survey

Author

Manish K. Jha, Cherise Chin Fatt, Madhukar H. Trivedi, Abu Minhajuddin, and Taryn L. Mayes

Subjects
medicine.medical_specialty, National Health and Nutrition Examination Survey, business.industry, Environmental health, Epidemiology, medicine, Association (psychology), medicine.disease, business, Obesity, Sex specific, Biological Psychiatry, Depression (differential diagnoses)
Published
2021

47. Randomized, Placebo-Controlled trial of nefazodone maintenance treatment in preventing recurrence in chronic depression

Author

Gelenberg, Alan J., Trivedi, Madhukar H., Rush, A.John, Thase, Michael E., Howland, Robert, Klein, Daniel N., Kornstein, Susan G., Dunner, David L., Markowitz, John C., Hirschfeld, Robert M.A., Keitner, Gabor I., Zajecka, John, Kocsis, James H, Russell, James M., Miller, Ivan, Manber, Rachel, Arnow, Bruce, Rothbaum, Barbara, Munsaka, Melvin, Banks, Phillip, Borian, Frances E., and Keller, Martin B.

Published
2003
Full Text
View/download PDF

49. Neural Circuits Linking Irritability and Anger Attacks in Major Depressive Disorder: Findings From EMBARC Study

Author

Joseph M. Trombello, Maurizio Fava, Cherise Chin Fatt, Manish K. Jha, David Mischoulon, Abu Minhajuddin, Madhukar H. Trivedi, Nausheen Wakhlu, and Cristina Cusin

Subjects
media_common.quotation_subject, medicine, Biological neural network, Major depressive disorder, Anger, medicine.symptom, medicine.disease, Irritability, Psychology, Biological Psychiatry, media_common, Clinical psychology
Published
2020

Catalog

Books, media, physical & digital resources
See catalog results