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1,473 results on '"Fava, Maurizio"'

1. Rationale and Design for the BLOCK-SAH Study (Pterygopalatine Fossa Block as an Opioid-Sparing Treatment for Acute Headache in Aneurysmal Subarachnoid Hemorrhage): A Phase II, Multicenter, Randomized, Double-Blinded, Placebo-Controlled Clinical Trial with a Sequential Parallel Comparison Design

Author

Busl, Katharina M., Smith, Cameron R., Troxel, Andrea B., Fava, Maurizio, Illenberger, Nicholas, Pop, Ralisa, Yang, Wenqing, Frota, Luciola Martins, Gao, Hanzhi, Shan, Guogen, Hoh, Brian L., and Maciel, Carolina B.

Published
2024
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2. Comparative effectiveness research trial for antidepressant incomplete and non-responders with treatment resistant depression (ASCERTAIN-TRD) a randomized clinical trial

Author

Papakostas, George I., Trivedi, Madhukar H., Shelton, Richard C., Iosifescu, Dan V., Thase, Michael E., Jha, Manish K., Mathew, Sanjay J., DeBattista, Charles, Dokucu, Mehmet E., Brawman-Mintzer, Olga, Currier, Glenn W., McCall, William Vaughn, Modirrousta, Mandana, Macaluso, Matthew, Bystritsky, Alexander, Rodriguez, Fidel Vila, Nelson, Erik B., Yeung, Albert S., Feeney, Anna, MacGregor, Leslie C., Carmody, Thomas, and Fava, Maurizio

Published
2024
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5. Rejecting the Accusation of a Violated STAR*D Protocol

Author

Rush, John, Trivedi, Madhukar, Fava, Maurizio, Thase, Michael E., and Wisniewski, Stephen

Subjects
Health, Psychology and mental health
Abstract

At the heart of this matter is the eye-popping and contentious difference in the results of 2 teams analyzing ostensibly the same data set, with one team reporting an estimated [...]

Published
2024

8. Esmethadone-HCl (REL-1017): a promising rapid antidepressant

Author

Fava, Maurizio, Stahl, Stephen M., De Martin, Sara, Mattarei, Andrea, Bettini, Ezio, Comai, Stefano, Alimonti, Andrea, Bifari, Francesco, Pani, Luca, Folli, Franco, Guidetti, Clotilde, Furlan, Alberto, Sgrignani, Jacopo, Locatelli, Patrizia, Cavalli, Andrea, O’Gorman, Cedric, Traversa, Sergio, Inturrisi, Charles E., Pappagallo, Marco, and Manfredi, Paolo L.

Published
2023
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15. International pooled patient-level meta-analysis of ketamine infusion for depression: In search of clinical moderators

Author

Price, Rebecca B., Kissel, Nicholas, Baumeister, Andrew, Rohac, Rebecca, Woody, Mary L., Ballard, Elizabeth D., Zarate, Jr, Carlos A., Deakin, William, Abdallah, Chadi G., Feder, Adriana, Charney, Dennis S., Grunebaum, Michael F., Mann, J. John, Mathew, Sanjay J., Gallagher, Bronagh, McLoughlin, Declan M., Murrough, James W., Muthukumaraswamy, Suresh, McMillan, Rebecca, Sumner, Rachael, Papakostas, George, Fava, Maurizio, Hock, Rebecca, Phillips, Jennifer L., Blier, Pierre, Shiroma, Paulo, Šóš, Peter, Su, Tung-Ping, Chen, Mu-Hong, Tiger, Mikael, Lundberg, Johan, Wilkinson, Samuel T., and Wallace, Meredith L.

Published
2022
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16. An electroencephalographic signature predicts antidepressant response in major depression

Author

Wu, Wei, Zhang, Yu, Jiang, Jing, Lucas, Molly V, Fonzo, Gregory A, Rolle, Camarin E, Cooper, Crystal, Chin-Fatt, Cherise, Krepel, Noralie, Cornelssen, Carena A, Wright, Rachael, Toll, Russell T, Trivedi, Hersh M, Monuszko, Karen, Caudle, Trevor L, Sarhadi, Kamron, Jha, Manish K, Trombello, Joseph M, Deckersbach, Thilo, Adams, Phil, McGrath, Patrick J, Weissman, Myrna M, Fava, Maurizio, Pizzagalli, Diego A, Arns, Martijn, Trivedi, Madhukar H, and Etkin, Amit

Subjects
Serious Mental Illness, Neurosciences, Mental Health, Major Depressive Disorder, Depression, Clinical Research, Brain Disorders, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Mental health, Good Health and Well Being, Antidepressive Agents, Depressive Disorder, Major, Double-Blind Method, Electroencephalography, Humans, Machine Learning, Membrane Potentials, Models, Neurological, Predictive Value of Tests, Prefrontal Cortex, Reproducibility of Results, Sertraline, Transcranial Magnetic Stimulation, Treatment Outcome
Abstract

Antidepressants are widely prescribed, but their efficacy relative to placebo is modest, in part because the clinical diagnosis of major depression encompasses biologically heterogeneous conditions. Here, we sought to identify a neurobiological signature of response to antidepressant treatment as compared to placebo. We designed a latent-space machine-learning algorithm tailored for resting-state electroencephalography (EEG) and applied it to data from the largest imaging-coupled, placebo-controlled antidepressant study (n = 309). Symptom improvement was robustly predicted in a manner both specific for the antidepressant sertraline (versus placebo) and generalizable across different study sites and EEG equipment. This sertraline-predictive EEG signature generalized to two depression samples, wherein it reflected general antidepressant medication responsivity and related differentially to a repetitive transcranial magnetic stimulation treatment outcome. Furthermore, we found that the sertraline resting-state EEG signature indexed prefrontal neural responsivity, as measured by concurrent transcranial magnetic stimulation and EEG. Our findings advance the neurobiological understanding of antidepressant treatment through an EEG-tailored computational model and provide a clinical avenue for personalized treatment of depression.

Published
2020

17. Evaluating the Combination of a Brief Motivational Intervention Plus Cognitive Behavioral Therapy for Depression and Heavy Episodic Drinking in College Students

Author

Pedrelli, Paola, Borsari, Brian, Merrill, Jennifer E, Fisher, Lauren B, Nyer, Maren, Shapero, Benjamin G, Farabaugh, Amy, Hayden, Emma R, Levine, M Taylor, Fava, Maurizio, and Weiss, Roger D

Subjects
Clinical and Health Psychology, Psychology, Depression, Behavioral and Social Science, Substance Misuse, Clinical Research, Mental Health, Underage Drinking, Alcoholism, Alcohol Use and Health, Rehabilitation, Mind and Body, Pediatric, Brain Disorders, Clinical Trials and Supportive Activities, 6.6 Psychological and behavioural, Evaluation of treatments and therapeutic interventions, Mental health, Good Health and Well Being, Adolescent, Adult, Alcohol Drinking in College, Alcoholism, Cognitive Behavioral Therapy, Female, Humans, Male, Motivational Interviewing, Treatment Outcome, Universities, Young Adult, cognitive, behavioral therapy, brief motivational interviewing, depression, heavy episodic drinking, college student mental health, Substance Abuse, Biological psychology, Clinical and health psychology
Abstract

[Correction Notice: An Erratum for this article was reported in Vol 34(2) of Psychology of Addictive Behaviors (see record 2020-16883-001). In the original article the order of authorship was incorrect. The correct second and third authors should appear instead as Brian Borsari and Jennifer E. Merrill.] Heavy episodic drinking (HED) and depressive symptoms often co-occur among college students and are associated with significant impairment. However, evidence-based treatments for these common co-occurring conditions are not available for college students. The current study compared the effectiveness of a treatment combining Cognitive-Behavioral Therapy for Depression and Brief Motivational Interviewing (CBT-D + BMI) versus Cognitive-Behavioral Therapy for Depression (CBT-D) alone among 94 college students with HED and depressive symptoms. Both treatment programs were associated with significant reductions of similar magnitude in HED, alcohol-related problems (ARP), and depressive symptoms at the end of treatment and at the 1-month follow-up assessment. Moderation analyses indicated that, among college students with fewer depressive symptoms at baseline, CBT-D was associated with greater sustained reduction in heavy drinking relative to CBT-D + BMI at the 1-month follow-up. Although the study did not include a no-treatment condition, the magnitude of improvement during treatment in both groups was greater than what is expected with passage of time. Although clinicians in college counseling centers may lack specialty training for co-occurring conditions, CBT-D is widely implemented in college settings. Our findings suggest that CBT-D may reduce both depressive symptoms and HED in college students and may be used to address a significant public health problem. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Published
2020

18. Brain regulation of emotional conflict predicts antidepressant treatment response for depression

Author

Fonzo, Gregory A, Etkin, Amit, Zhang, Yu, Wu, Wei, Cooper, Crystal, Chin-Fatt, Cherise, Jha, Manish K, Trombello, Joseph, Deckersbach, Thilo, Adams, Phil, McInnis, Melvin, McGrath, Patrick J, Weissman, Myrna M, Fava, Maurizio, and Trivedi, Madhukar H

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Clinical Trials and Supportive Activities, Neurosciences, Brain Disorders, Clinical Research, Mind and Body, Behavioral and Social Science, Mental Health, Depression, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Mental health, Good Health and Well Being, Antidepressive Agents, Antidepressive Agents, Second-Generation, Brain, Clinical Trials as Topic, Depressive Disorder, Major, Humans, Magnetic Resonance Imaging, Neuroimaging, Treatment Outcome, Biomedical and clinical sciences, Health sciences
Abstract

The efficacy of antidepressant treatment for depression is controversial due to the only modest superiority demonstrated over placebo. However, neurobiological heterogeneity within depression may limit overall antidepressant efficacy. We sought to identify a neurobiological phenotype responsive to antidepressant treatment by testing pretreatment brain activation during response to, and regulation of, emotional conflict as a moderator of the clinical benefit of the antidepressant sertraline versus placebo. Using neuroimaging data from a large randomized controlled trial, we found widespread moderation of clinical benefits by brain activity during regulation of emotional conflict, in which greater downregulation of conflict-responsive regions predicted better sertraline outcomes. Treatment-predictive machine learning using brain metrics outperformed a model trained on clinical and demographic variables. Our findings demonstrate that antidepressant response is predicted by brain activity underlying a key self-regulatory emotional capacity. Leveraging brain-based measures in psychiatry will forge a path toward better treatment personalization, refined mechanistic insights and improved outcomes.

Published
2019

26. Neural substrates of emotional conflict with anxiety in major depressive disorder: Findings from the Establishing Moderators and biosignatures of Antidepressant Response in Clinical Care (EMBARC) randomized controlled trial

Author

Trombello, Joseph M., Cooper, Crystal M., Fatt, Cherise Chin, Grannemann, Bruce D., Carmody, Thomas J., Jha, Manish K., Mayes, Taryn L., Greer, Tracy L., Yezhuvath, Uma, Aslan, Sina, Pizzagalli, Diego A., Weissman, Myrna M., Webb, Christian A., Dillon, Daniel G., McGrath, Patrick J., Fava, Maurizio, Parsey, Ramin V., McInnis, Melvin G., Etkin, Amit, and Trivedi, Madhukar H.

Published
2022
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40. BRAIN SUPERFOODS... EDUCATION AND DEMENTIA RISK... LOW BLOOD PRESSURE

Author

Fava, Maurizio

Subjects
Brain -- Health aspects, Dementia -- Prevention, Blood pressure -- Health aspects, Aged -- Health aspects, Natural foods -- Usage, Education -- Health aspects -- United States, Psychology and mental health
Abstract

Q Is there such a thing as a brain 'superfood?' A The term 'superfood' has become a popular way to describe specific nutrient-rich foods that support brain function and other [...]

Published
2024

41. ALZHEIMER'S FIRST SYMPTOMS... RESISTANCE TO NEW EXPERIENCES... BLOOD PRESSURE DIFFERENCES

Author

Fava, Maurizio

Subjects
Blood pressure -- Health aspects, Aged -- Psychological aspects -- Social aspects, Memory, Disorders of -- Diagnosis, Openness to experience -- Health aspects, Alzheimer's disease -- Diagnosis, Psychology and mental health
Abstract

Q Is memory loss always the first symptom of Alzheimer's disease? I've noticed my husband having more trouble making decisions and paying attention, but his memory still seems very sharp. [...]

Published
2024

45. Personalized Medicine

Author

Foster, Simmie L., Petrie, Samuel R., Mischoulon, David, Fava, Maurizio, Rosenbaum, Jerrold F., Series Editor, Shapero, Benjamin G., editor, Mischoulon, David, editor, and Cusin, Cristina, editor

Published
2019
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