Maria Ly1, Carmen Andreescu2. 1. Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, USA. 2. Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, USA. Andrcx@upmc.edu.
Abstract
PURPOSE OF REVIEW: Mood and anxiety disorders are very commonly experienced by older adults and are becoming a growing concern due to the rapidly aging global population. Recent advances in neuroimaging may help in improving outcomes in late-life mood and anxiety disorders. The elucidation of mechanisms contributing to late-life mental health disorders may ultimately lead to the identification of novel therapeutic interventions. Alternatively, clinically validated imaging biomarkers may allow for the prediction of treatment response and identification of better therapeutic approaches in late-life mood and anxiety disorders. RECENT FINDINGS: In community samples, late-life depression and late-life generalized anxiety disorder occur up to 38 and 15%, respectively, while late-life bipolar disorder is less common and occur in approximately 0.5% of the population. There are significant challenges in treating and improving outcome in late-life mood and anxiety disorders. Time to treatment response and treatment resistance are increased in older adults. Novel neuroimaging techniques have the potential to improve diagnostic and therapeutic outcome in late-life mood and anxiety disorders either through "personalized pharmacotherapy" or through identifying dysfunction regions/networks to be subsequently used for direct interventions such as transcranial magnetic stimulation. This review will provide an overview of recent literature that substantiates the potential role of neuroimaging in clinical practice, as well as the barriers that must be overcome prior to clinical translation.
PURPOSE OF REVIEW: Mood and anxiety disorders are very commonly experienced by older adults and are becoming a growing concern due to the rapidly aging global population. Recent advances in neuroimaging may help in improving outcomes in late-life mood and anxiety disorders. The elucidation of mechanisms contributing to late-life mental health disorders may ultimately lead to the identification of novel therapeutic interventions. Alternatively, clinically validated imaging biomarkers may allow for the prediction of treatment response and identification of better therapeutic approaches in late-life mood and anxiety disorders. RECENT FINDINGS: In community samples, late-life depression and late-life generalized anxiety disorder occur up to 38 and 15%, respectively, while late-life bipolar disorder is less common and occur in approximately 0.5% of the population. There are significant challenges in treating and improving outcome in late-life mood and anxiety disorders. Time to treatment response and treatment resistance are increased in older adults. Novel neuroimaging techniques have the potential to improve diagnostic and therapeutic outcome in late-life mood and anxiety disorders either through "personalized pharmacotherapy" or through identifying dysfunction regions/networks to be subsequently used for direct interventions such as transcranial magnetic stimulation. This review will provide an overview of recent literature that substantiates the potential role of neuroimaging in clinical practice, as well as the barriers that must be overcome prior to clinical translation.
Authors: Meenal J Patel; Carmen Andreescu; Julie C Price; Kathryn L Edelman; Charles F Reynolds; Howard J Aizenstein Journal: Int J Geriatr Psychiatry Date: 2015-02-17 Impact factor: 3.485
Authors: Carmen Andreescu; Lei K Sheu; Dana Tudorascu; Sarah Walker; Howard Aizenstein Journal: Int J Geriatr Psychiatry Date: 2013-11-20 Impact factor: 3.485
Authors: Howard J Aizenstein; Carmen Andreescu; Kathryn L Edelman; Jennifer L Cochran; Julie Price; Meryl A Butters; Jordan Karp; Meenal Patel; Charles F Reynolds Journal: Am J Psychiatry Date: 2011-07-28 Impact factor: 18.112
Authors: Jan Cees De Groot; Frank-Erik De Leeuw; Matthijs Oudkerk; Jan Van Gijn; Albert Hofman; Jellemer Jolles; Monique M B Breteler Journal: Ann Neurol Date: 2002-09 Impact factor: 10.422
Authors: Faith M Gunning; Janice Cheng; Christopher F Murphy; Dora Kanellopoulos; Jessica Acuna; Matthew J Hoptman; Sibel Klimstra; Shizuko Morimoto; James Weinberg; George S Alexopoulos Journal: Int J Geriatr Psychiatry Date: 2009-08 Impact factor: 3.485
Authors: Claire E Sexton; Charlotte L Allan; Marisa Le Masurier; Lisa M McDermott; Ukwuori G Kalu; Lucie L Herrmann; Matthias Mäurer; Kevin M Bradley; Clare E Mackay; Klaus P Ebmeier Journal: Arch Gen Psychiatry Date: 2012-07
Authors: M Wu; D S Mennin; M Ly; H T Karim; L Banihashemi; D L Tudorascu; H J Aizenstein; C Andreescu Journal: J Affect Disord Date: 2019-07-05 Impact factor: 4.839
Authors: Helmet T Karim; Maria Ly; Gary Yu; Robert Krafty; Dana L Tudorascu; Howard J Aizenstein; Carmen Andreescu Journal: Neurobiol Aging Date: 2021-01-20 Impact factor: 4.673
Authors: M Ly; H T Karim; J T Becker; O L Lopez; S J Anderson; H J Aizenstein; C F Reynolds; M D Zmuda; M A Butters Journal: Transl Psychiatry Date: 2021-03-02 Impact factor: 6.222