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Yang Y, Zhong N, Imamura K, Lu S, Li M, Zhou H, Li H, Yang X, Wan Z, Wang G, Hu B, Li K. Task and Resting-State fMRI Reveal Altered Salience Responses to Positive Stimuli in Patients with Major Depressive Disorder. PLoS One 2016; 11:e0155092. [PMID: 27192082 PMCID: PMC4871416 DOI: 10.1371/journal.pone.0155092] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 04/25/2016] [Indexed: 02/06/2023] Open
Abstract
Altered brain function in patients with major depressive disorder (MDD) has been repeatedly demonstrated by task-based and resting-state studies, respectively. However, less is known concerning whether overlapped abnormalities in functional activities across modalities exist in MDD patients. To find out the answer, we implemented an fMRI experiment and collected both task and resting-state data from 19 MDD patients and 19 matched, healthy, controls. A distraction paradigm involving emotionally valenced pictures was applied to induce affective responses in subjects. As a result, concurrent deficits were found in arousing activation during a positive task in both the reward circuit and salience network (SN) that is composed of the dorsal part of anterior cingulate cortex (dACC) and bilateral anterior insulae (AI) in only the MDD group. Subsequent amplitude of low frequency fluctuations (ALFF) and functional connectivity analyses based on resting-state data exhibited consistent alterations in the bilateral AI of MDD patients, and indicated patients' difficulties in regulating the balance between central executive network (CEN) and default mode network (DMN) due to altered connectivity among the CEN, DMN, and SN. Our findings provide new evidence demonstrating impaired salience processing and resulting alterations in responses to positive stimuli in MDD patients. Furthermore, brain abnormalities synchronized across functional states in MDD patients can be evidenced by a combination of task and resting-state fMRI analyses.
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Affiliation(s)
- Yang Yang
- Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
- Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Gunma, Japan
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
| | - Ning Zhong
- Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
- Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Gunma, Japan
- International WIC Institute, Beijing University of Technology, Beijing, China
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
- * E-mail:
| | - Kazuyuki Imamura
- Department of Systems Life Engineering, Maebashi Institute of Technology, Maebashi, Gunma, Japan
| | - Shengfu Lu
- Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
- International WIC Institute, Beijing University of Technology, Beijing, China
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
| | - Mi Li
- Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
- International WIC Institute, Beijing University of Technology, Beijing, China
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
| | - Haiyan Zhou
- Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
- International WIC Institute, Beijing University of Technology, Beijing, China
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
| | - Huaizhou Li
- International WIC Institute, Beijing University of Technology, Beijing, China
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
| | - Xiaojing Yang
- International WIC Institute, Beijing University of Technology, Beijing, China
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
| | - Zhijiang Wan
- Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
- Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Gunma, Japan
- Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
| | - Gang Wang
- Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
- Mood Disorders Center, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Bin Hu
- Ubiquitous Awareness and Intelligent Solutions Lab, Lanzhou University, Lanzhou, Gansu, China
| | - Kuncheng Li
- International WIC Institute, Beijing University of Technology, Beijing, China
- Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
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202
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Urošević S, Luciana M, Jensen JB, Youngstrom EA, Thomas KM. Age associations with neural processing of reward anticipation in adolescents with bipolar disorders. NEUROIMAGE-CLINICAL 2016; 11:476-485. [PMID: 27114896 PMCID: PMC4832096 DOI: 10.1016/j.nicl.2016.03.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 02/04/2016] [Accepted: 03/17/2016] [Indexed: 12/20/2022]
Abstract
Reward/behavioral approach system hypersensitivity is implicated in bipolar disorders (BD) and in normative development during adolescence. Pediatric onset of BD is associated with a more severe illness course. However, little is known about neural processing of rewards in adolescents with BD or developmental (i.e., age) associations with activation of these neural systems. The present study aims to address this knowledge gap. The present sample included 21 adolescents with BD and 26 healthy adolescents, ages 13 to 19. Participants completed a functional magnetic resonance imaging (fMRI) protocol using the Monetary Incentive Delay (MID) task. Behavioral performance was similar between groups. Group differences in BOLD activation during target anticipation and feedback anticipation periods of the task were examined using whole-brain analyses, as were group differences in age effects. During both target anticipation and feedback anticipation, adolescents with BD, compared to adolescents without psychopathology, exhibited decreased engagement of frontal regions involved in cognitive control (i.e., dorsolateral prefrontal cortex). Healthy adolescents exhibited age-related decreases, while adolescents with BD exhibited age-related increases, in activity of other cognitive control frontal areas (i.e., right inferior frontal gyrus), suggesting altered development in the BD group. Longitudinal research is needed to examine potentially abnormal development of cognitive control during reward pursuit in adolescent BD and whether early therapeutic interventions can prevent these potential deviations from normative development.
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Key Words
- ACC, anterior cingulate cortex
- ADHD, attention-deficit/hyperactivity disorder
- Adolescence
- BAS dysregulation
- BAS, behavioral approach system
- BD, bipolar disorders
- Bipolar disorder
- DLPFC, dorsolateral prefrontal cortex
- MID, monetary incentive delay task
- Nacc, nucleus accumbens
- OFC, orbitofrontal cortex
- PCC, posterior cingulate cortex
- Reward
- SUD, substance use disorders
- fMRI
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Affiliation(s)
- Snežana Urošević
- Department of Psychology, University of Minnesota-Twin Cities, United States; Center for Neurobehavioral Development, University of Minnesota-Twin Cities, United States.
| | - Monica Luciana
- Department of Psychology, University of Minnesota-Twin Cities, United States; Center for Neurobehavioral Development, University of Minnesota-Twin Cities, United States
| | - Jonathan B Jensen
- Department of Psychiatry, University of Minnesota-Twin Cities, United States
| | - Eric A Youngstrom
- Department of Psychology, University of North Carolina-Chapel Hill, United States
| | - Kathleen M Thomas
- Center for Neurobehavioral Development, University of Minnesota-Twin Cities, United States; Institute of Child Development, University of Minnesota-Twin Cities, United States
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204
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Shulman EP, Smith AR, Silva K, Icenogle G, Duell N, Chein J, Steinberg L. The dual systems model: Review, reappraisal, and reaffirmation. Dev Cogn Neurosci 2016; 17:103-17. [PMID: 26774291 PMCID: PMC6990093 DOI: 10.1016/j.dcn.2015.12.010] [Citation(s) in RCA: 463] [Impact Index Per Article: 51.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 07/17/2015] [Accepted: 12/19/2015] [Indexed: 01/06/2023] Open
Abstract
According to the dual systems perspective, risk taking peaks during adolescence because activation of an early-maturing socioemotional-incentive processing system amplifies adolescents' affinity for exciting, pleasurable, and novel activities at a time when a still immature cognitive control system is not yet strong enough to consistently restrain potentially hazardous impulses. We review evidence from both the psychological and neuroimaging literatures that has emerged since 2008, when this perspective was originally articulated. Although there are occasional exceptions to the general trends, studies show that, as predicted, psychological and neural manifestations of reward sensitivity increase between childhood and adolescence, peak sometime during the late teen years, and decline thereafter, whereas psychological and neural reflections of better cognitive control increase gradually and linearly throughout adolescence and into the early 20s. While some forms of real-world risky behavior peak at a later age than predicted, this likely reflects differential opportunities for risk-taking in late adolescence and young adulthood, rather than neurobiological differences that make this age group more reckless. Although it is admittedly an oversimplification, as a heuristic device, the dual systems model provides a far more accurate account of adolescent risk taking than prior models that have attributed adolescent recklessness to cognitive deficiencies.
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Affiliation(s)
- Elizabeth P Shulman
- Brock University, Psychology Department, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada.
| | - Ashley R Smith
- Temple University, Department of Psychology, 1701 N. 13th Street, Philadelphia, PA 19122, USA.
| | - Karol Silva
- Temple University, Department of Psychology, 1701 N. 13th Street, Philadelphia, PA 19122, USA.
| | - Grace Icenogle
- Temple University, Department of Psychology, 1701 N. 13th Street, Philadelphia, PA 19122, USA.
| | - Natasha Duell
- Temple University, Department of Psychology, 1701 N. 13th Street, Philadelphia, PA 19122, USA.
| | - Jason Chein
- Temple University, Department of Psychology, 1701 N. 13th Street, Philadelphia, PA 19122, USA.
| | - Laurence Steinberg
- Temple University, Department of Psychology, 1701 N. 13th Street, Philadelphia, PA 19122, USA; King Abdulaziz University, Abdullah Sulayman, Jeddah 22254, Saudi Arabia.
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