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Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.
Wade, Benjamin S C; Hellemann, Gerhard; Espinoza, Randall T; Woods, Roger P; Joshi, Shantanu H; Redlich, Ronny; Dannlowski, Udo; Jorgensen, Anders; Abbott, Christopher C; Oltedal, Leif; Narr, Katherine L.
Affiliation
  • Wade BSC; Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, California, USA.
  • Hellemann G; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.
  • Espinoza RT; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.
  • Woods RP; Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, California, USA.
  • Joshi SH; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.
  • Redlich R; Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, California, USA.
  • Dannlowski U; Institute of Translational Psychiatry, Department of Mental Health, University of Münster, Münster, Germany.
  • Jorgensen A; Department of Clinical Psychology, University of Halle, Halle, Germany.
  • Abbott CC; Institute of Translational Psychiatry, Department of Mental Health, University of Münster, Münster, Germany.
  • Oltedal L; Psychiatric Center Copenhagen, Copenhagen, Denmark.
  • Narr KL; Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
Hum Brain Mapp ; 42(16): 5322-5333, 2021 11.
Article in En | MEDLINE | ID: mdl-34390089

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Cortex / Outcome Assessment, Health Care / Depressive Disorder, Major / Electroconvulsive Therapy / Neuroimaging / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Hum Brain Mapp Journal subject: CEREBRO Year: 2021 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Cortex / Outcome Assessment, Health Care / Depressive Disorder, Major / Electroconvulsive Therapy / Neuroimaging / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Hum Brain Mapp Journal subject: CEREBRO Year: 2021 Type: Article Affiliation country: United States