1
|
James KA, Stromin JI, Steenkamp N, Combrinck MI. Understanding the relationships between physiological and psychosocial stress, cortisol and cognition. Front Endocrinol (Lausanne) 2023; 14:1085950. [PMID: 36950689 PMCID: PMC10025564 DOI: 10.3389/fendo.2023.1085950] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/14/2023] [Indexed: 03/08/2023] Open
Abstract
Stress is viewed as a state of real or perceived threat to homeostasis, the management of which involves the endocrine, nervous, and immune systems. These systems work independently and interactively as part of the stress response. The scientific stress literature, which spans both animal and human studies, contains heterogeneous findings about the effects of stress on the brain and the body. This review seeks to summarise and integrate literature on the relationships between these systems, examining particularly the roles of physiological and psychosocial stress, the stress hormone cortisol, as controlled by the hypothalamic-pituitary-adrenal (HPA) axis, and the effects of stress on cognitive functioning. Health conditions related to impaired HPA axis functioning and their associated neuropsychiatric symptoms will also be considered. Lastly, this review will provide suggestions of clinical applicability for endocrinologists who are uniquely placed to measure outcomes related to endocrine, nervous and immune system functioning and identify areas of intervention.
Collapse
Affiliation(s)
- Katharine Ann James
- Applied Cognitive Science and Experimental Neuropsychology Team (ACSENT) Laboratory, Department of Psychology, University of Cape Town, Cape Town, South Africa
- Division of Geriatric Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Juliet Ilena Stromin
- Applied Cognitive Science and Experimental Neuropsychology Team (ACSENT) Laboratory, Department of Psychology, University of Cape Town, Cape Town, South Africa
| | - Nina Steenkamp
- Applied Cognitive Science and Experimental Neuropsychology Team (ACSENT) Laboratory, Department of Psychology, University of Cape Town, Cape Town, South Africa
| | - Marc Irwin Combrinck
- Division of Geriatric Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa
| |
Collapse
|
2
|
Narita Z, Yang K, Kuga H, Piancharoen P, Etyemez S, Faria A, Mihaljevic M, Longo L, Namkung H, Coughlin JM, Nestadt G, Nucifora FC, Sedlak TW, Schaub R, Crawford J, Schretlen DJ, Miyata J, Ishizuka K, Sawa A. Face processing of social cognition in patients with first episode psychosis: Its deficits and association with the right subcallosal anterior cingulate cortex. Schizophr Res 2021; 238:99-107. [PMID: 34649085 DOI: 10.1016/j.schres.2021.09.027] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 09/13/2021] [Accepted: 09/30/2021] [Indexed: 12/28/2022]
Abstract
The clinical importance of social cognition is well acknowledged in patients with psychosis, in particular those with first episode psychosis (FEP). Nevertheless, its brain substrates and circuitries remain elusive, lacking precise analysis between multimodal brain characteristics and behavioral sub-dimensions within social cognition. In the present study, we examined face processing of social cognition in 71 FEP patients and 77 healthy controls (HCs). We looked for a possible correlation between face processing and multimodal MRI characteristics such as resting-state functional connectivity (rsFC) and brain volume. We observed worse recognition accuracy, longer recognition response time, and longer memory response time in FEP patients when compared with HCs. Of these, memory response time was selectively correlated with specific rsFCs, which included the right subcallosal sub-region of BA24 in the ACC (scACC), only in FEP patients. The volume of this region was also correlated with memory response time in FEP patients. The scACC is functionally and structurally important in FEP-associated abnormalities of face processing measures in social cognition.
Collapse
Affiliation(s)
- Zui Narita
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Kun Yang
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Hironori Kuga
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Peeraya Piancharoen
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Semra Etyemez
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Andreia Faria
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Marina Mihaljevic
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Luisa Longo
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Ho Namkung
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Jennifer M Coughlin
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Gerald Nestadt
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Frederik C Nucifora
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Thomas W Sedlak
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Rebecca Schaub
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Jeff Crawford
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - David J Schretlen
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koko Ishizuka
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Akira Sawa
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
| |
Collapse
|
3
|
Schroder JD, de Araújo JB, de Oliveira T, de Moura AB, Fries GR, Quevedo J, Réus GZ, Ignácio ZM. Telomeres: the role of shortening and senescence in major depressive disorder and its therapeutic implications. Rev Neurosci 2021; 33:227-255. [PMID: 34388328 DOI: 10.1515/revneuro-2021-0070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 07/17/2021] [Indexed: 11/15/2022]
Abstract
Major depressive disorder (MDD) is one of the most prevalent and debilitating psychiatric disorders, with a large number of patients not showing an effective therapeutic response to available treatments. Several biopsychosocial factors, such as stress in childhood and throughout life, and factors related to biological aging, may increase the susceptibility to MDD development. Included in critical biological processes related to aging and underlying biological mechanisms associated with MDD is the shortening of telomeres and changes in telomerase activity. This comprehensive review discusses studies that assessed the length of telomeres or telomerase activity and function in peripheral blood cells and brain tissues of MDD individuals. Also, results from in vitro protocols and animal models of stress and depressive-like behaviors were included. We also expand our discussion to include the role of telomere biology as it relates to other relevant biological mechanisms, such as the hypothalamic-pituitary-adrenal (HPA) axis, oxidative stress, inflammation, genetics, and epigenetic changes. In the text and the discussion, conflicting results in the literature were observed, especially considering the size of telomeres in the central nervous system, on which there are different protocols with divergent results in the literature. Finally, the context of this review is considering cell signaling, transcription factors, and neurotransmission, which are involved in MDD and can be underlying to senescence, telomere shortening, and telomerase functions.
Collapse
Affiliation(s)
- Jessica Daniela Schroder
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil
| | - Julia Beatrice de Araújo
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil
| | - Tacio de Oliveira
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil
| | - Airam Barbosa de Moura
- Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil
| | - Gabriel Rodrigo Fries
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, Translational Psychiatry Program, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road BBSB 3142, Houston77054, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road, BBSB 3142, Houston77054, TX, USA.,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 1941 East Road, BBSB 3142, Houston77054, TX, USA
| | - João Quevedo
- Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil.,Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, Translational Psychiatry Program, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road BBSB 3142, Houston77054, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road, BBSB 3142, Houston77054, TX, USA.,Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, Center of Excellence on Mood Disorders, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road, BBSB 3142, Houston77054, TX, USA
| | - Gislaine Zilli Réus
- Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil
| | - Zuleide Maria Ignácio
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil.,Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil
| |
Collapse
|
4
|
Espinoza Oyarce DA, Shaw ME, Alateeq K, Cherbuin N. Volumetric brain differences in clinical depression in association with anxiety: a systematic review with meta-analysis. J Psychiatry Neurosci 2020; 45:406-429. [PMID: 32726102 PMCID: PMC7595741 DOI: 10.1503/jpn.190156] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Structural differences associated with depression have not been confirmed in brain regions apart from the hippocampus. Comorbid anxiety has been inconsistently assessed, and may explain discrepancies in previous findings. We investigated the link between depression, comorbid anxiety and brain structure. METHODS We followed Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines (PROSPERO CRD42018089286). We searched the Cochrane Library, MEDLINE, PsycInfo, PubMed and Scopus, from database inception to Sept. 13, 2018, for MRI case-control studies that reported brain volumes in healthy adults and adults with clinical depression. We summarized mean volumetric differences using meta-analyses, and we assessed demographics, depression factors and segmentation procedure as moderators using meta-regressions. RESULTS We included 112 studies in the meta-analyses, assessing 4911 healthy participants and 5934 participants with depression (mean age 49.8 yr, 68.2% female). Volume effects were greater in late-onset depression and in multiple episodes of depression. Adults with depression and no comorbidity showed significantly lower volumes in the putamen, pallidum and thalamus, as well as significantly lower grey matter volume and intracranial volume; the largest effects were in the hippocampus (6.8%, p < 0.001). Adults with depression and comorbid anxiety showed significantly higher volumes in the amygdala (3.6%, p < 0.001). Comorbid anxiety lowered depression effects by 3% on average. Sex moderated reductions in intracranial volume. LIMITATIONS High heterogeneity in hippocampus effects could not be accounted for by any moderator. Data on symptom severity and medication were sparse, but other factors likely made significant contributions. CONCLUSION Depression-related differences in brain structure were modulated by comorbid anxiety, chronicity of symptoms and onset of illness. Early diagnosis of anxiety symptomatology will prove crucial to ensuring effective, tailored treatments for improving long-term mental health and mitigating cognitive problems, given the effects in the hippocampus.
Collapse
Affiliation(s)
- Daniela A Espinoza Oyarce
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Marnie E Shaw
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Khawlah Alateeq
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Nicolas Cherbuin
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| |
Collapse
|
5
|
Lynch KM, Shi Y, Toga AW, Clark KA. Hippocampal Shape Maturation in Childhood and Adolescence. Cereb Cortex 2020; 29:3651-3665. [PMID: 30272143 DOI: 10.1093/cercor/bhy244] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 06/29/2018] [Accepted: 09/07/2018] [Indexed: 11/14/2022] Open
Abstract
The hippocampus is a subcortical structure critical for learning and memory, and a thorough understanding of its neurodevelopment is important for studying these processes in health and disease. However, few studies have quantified the typical developmental trajectory of the structure in childhood and adolescence. This study examined the cross-sectional age-related changes and sex differences in hippocampal shape in a multisite, multistudy cohort of 1676 typically developing children (age 1-22 years) using a novel intrinsic brain mapping method based on Laplace-Beltrami embedding of surfaces. Significant age-related expansion was observed bilaterally and nonlinear growth was observed primarily in the right head and tail of the hippocampus. Sex differences were also observed bilaterally along the lateral and medial aspects of the surface, with females exhibiting relatively larger surface expansion than males. Additionally, the superior posterior lateral surface of the left hippocampus exhibited an age-sex interaction with females expanding faster than males. Shape analysis provides enhanced sensitivity to regional changes in hippocampal morphology over traditional volumetric approaches and allows for the localization of developmental effects. Our results further support evidence that hippocampal structures follow distinct maturational trajectories that may coincide with the development of learning and memory skills during critical periods of development.
Collapse
Affiliation(s)
- Kirsten M Lynch
- Keck School of Medicine of USC, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA.,Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089, USA
| | - Yonggang Shi
- Keck School of Medicine of USC, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA
| | - Arthur W Toga
- Keck School of Medicine of USC, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA
| | - Kristi A Clark
- Keck School of Medicine of USC, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA
| | | |
Collapse
|
6
|
Structural brain networks in remitted psychotic depression. Neuropsychopharmacology 2020; 45:1223-1231. [PMID: 32109935 PMCID: PMC7235256 DOI: 10.1038/s41386-020-0646-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 02/18/2020] [Indexed: 12/12/2022]
Abstract
Major depressive disorder with psychotic features (psychotic depression) is a severe disorder. Compared with other psychotic disorders such as schizophrenia, relatively few studies on the neurobiology of psychotic depression have been pursued. Neuroimaging studies investigating psychotic depression have provided evidence for distributed structural brain abnormalities implicating the insular cortex and limbic system. We examined structural brain networks in participants (N = 245) using magnetic resonance imaging. This sample included healthy controls (n = 159) and the largest cross-sectional sample of patients with remitted psychotic depression (n = 86) collected to date. All patients participated in the Study of Pharmacotherapy of Psychotic Depression II randomized controlled trial. We used a novel, whole-brain, data-driven parcellation technique-non-negative matrix factorization-and applied it to cortical thickness data to derive structural covariance networks. We compared patients with remitted psychotic depression to healthy controls and found that patients had significantly thinner cortex in five structural covariance networks (insular-limbic, occipito-temporal, temporal, parahippocampal-limbic, and inferior fronto-temporal), confirming our hypothesis that affected brain networks would incorporate cortico-limbic regions. We also found that cross-sectional depression and severity scores at the time of scanning were associated with the insular-limbic network. Furthermore, the insular-limbic network predicted future severity scores that were collected at the time of recurrence of psychotic depression or sustained remission. Overall, decreased cortical thickness was found in five structural brain networks in patients with remitted psychotic depression and brain-behavior relationships were observed, particularly between the insular-limbic network and illness severity.
Collapse
|
7
|
Wei D, Wang K, Meng J, Zhuang K, Chen Q, Yan W, Xie P, Qiu J. The reductions in the subcallosal region cortical volume and surface area in major depressive disorder across the adult life span. Psychol Med 2020; 50:422-430. [PMID: 30821229 DOI: 10.1017/s0033291719000230] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Imaging studies have shown that the subcallosal region (SCR) volume was decreased in patients with major depressive disorder (MDD). However, whether the volumetric reductions in the SCR are due to thinning of the cortex or a loss of surface area (SA) remains unclear. In addition, the relationship between cortical measurements of the SCR and age through the adult life span in MDD remains unclear. METHODS We used a cross-sectional design from 114 individuals with MDD and 112 matched healthy control (HC) individuals across the adult life span (range: 18-74 years). The mean cortical volume (CV), SA and cortical thickness (CT) of the SCR were computed using cortical parcellation based on FreeSurfer software. Multivariate analyses of covariance models were performed to compare differences between the MDD and HC groups on cortical measurements of the SCR. Multiple linear regression models were used to test age-by-group interaction effects on these cortical measurements of the SCR. RESULTS The MDD had significant reductions in the CV and SA of the left SCR compared with HC individuals after controlling of other variables. The left SCR CV and SA reductions compared with matched controls were observed only in early adulthood patients. We also found a significant age-related CT reduction in the SCR both in the MDD and HC participants. CONCLUSIONS The SCR volume reduction was mainly driven by SA in MDD. The different trajectories between the CT and SA of the SCR with age may provide valuable information to distinguish pathological processes and normal ageing in MDD.
Collapse
Affiliation(s)
- Dongtao Wei
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing400715, China
- School of Psychology, Southwest University, Chongqing400715, China
| | - Kangcheng Wang
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing400715, China
- School of Psychology, Southwest University, Chongqing400715, China
| | - Jie Meng
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing400715, China
- School of Psychology, Southwest University, Chongqing400715, China
| | - Kaixiang Zhuang
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing400715, China
- School of Psychology, Southwest University, Chongqing400715, China
| | - Qunlin Chen
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing400715, China
- School of Psychology, Southwest University, Chongqing400715, China
| | - Wenjing Yan
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing400715, China
- School of Psychology, Southwest University, Chongqing400715, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing400715, China
- School of Psychology, Southwest University, Chongqing400715, China
| |
Collapse
|
8
|
Belkhiria C, Vergara RC, San Martín S, Leiva A, Marcenaro B, Martinez M, Delgado C, Delano PH. Cingulate Cortex Atrophy Is Associated With Hearing Loss in Presbycusis With Cochlear Amplifier Dysfunction. Front Aging Neurosci 2019; 11:97. [PMID: 31080411 PMCID: PMC6497796 DOI: 10.3389/fnagi.2019.00097] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 04/10/2019] [Indexed: 12/14/2022] Open
Abstract
Age-related hearing loss is associated with cognitive decline and has been proposed as a risk factor for dementia. However, the mechanisms that relate hearing loss to cognitive decline remain elusive. Here, we propose that the impairment of the cochlear amplifier mechanism is associated with structural brain changes and cognitive impairment. Ninety-six subjects aged over 65 years old (63 female and 33 male) were evaluated using brain magnetic resonance imaging, neuropsychological and audiological assessments, including distortion product otoacoustic emissions as a measure of the cochlear amplifier function. All the analyses were adjusted by age, gender and education. The group with cochlear amplifier dysfunction showed greater brain atrophy in the cingulate cortex and in the parahippocampus. In addition, the atrophy of the cingulate cortex was associated with cognitive impairment in episodic and working memories and in language and visuoconstructive abilities. We conclude that the neural abnormalities observed in presbycusis subjects with cochlear amplifier dysfunction extend beyond core auditory network and are associated with cognitive decline in multiple domains. These results suggest that a cochlear amplifier dysfunction in presbycusis is an important mechanism relating hearing impairments to brain atrophy in the extended network of effortful hearing.
Collapse
Affiliation(s)
- Chama Belkhiria
- Department of Neuroscience, Faculty of Medicine, University of Chile, Santiago, Chile.,Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Rodrigo C Vergara
- Department of Neuroscience, Faculty of Medicine, University of Chile, Santiago, Chile.,Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Simón San Martín
- Department of Neuroscience, Faculty of Medicine, University of Chile, Santiago, Chile.,Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Alexis Leiva
- Department of Neuroscience, Faculty of Medicine, University of Chile, Santiago, Chile.,Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Bruno Marcenaro
- Department of Neuroscience, Faculty of Medicine, University of Chile, Santiago, Chile.,Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Melissa Martinez
- Department of Neurology and Neurosurgery, Clinical Hospital of the University of Chile, Santiago, Chile
| | - Carolina Delgado
- Department of Neuroscience, Faculty of Medicine, University of Chile, Santiago, Chile.,Department of Neurology and Neurosurgery, Clinical Hospital of the University of Chile, Santiago, Chile
| | - Paul H Delano
- Department of Neuroscience, Faculty of Medicine, University of Chile, Santiago, Chile.,Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile.,Department of Otolaryngology, Clinical Hospital of the University of Chile, Santiago, Chile
| |
Collapse
|
9
|
Niida R, Yamagata B, Matsuda H, Niida A, Uechi A, Kito S, Mimura M. Regional brain volume reductions in major depressive disorder and bipolar disorder: An analysis by voxel-based morphometry. Int J Geriatr Psychiatry 2019; 34:186-192. [PMID: 30328161 DOI: 10.1002/gps.5009] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 10/05/2018] [Indexed: 01/11/2023]
Abstract
OBJECTIVES The present study investigated the usefulness of evaluating the existence of volume reduction in brain regions using voxel-based morphometry (VBM) to dissociate major depressive disorder (MDD) from bipolar disorder (BD). METHODS/DESIGN This study enrolled 92 individuals with MDD, 32 individuals with BD, and 43 healthy controls (HCs). We focused on gray matter volume (GMV) of the subgenual anterior cingulate cortex (sgACC), subcallosal area (SCA), and hippocampus. The degree of volume reduction in these brain regions was calculated as the z score, and the differences of z scores in these regions were investigated among the MDD, BD, and HC groups. We then performed a receiver operating characteristic curve analysis to dissociate the individuals with MDD and BD from the HCs based on the z scores in the GMV of these brain regions. RESULTS While there were no significant differences in the z scores of the hippocampus among the three groups, the z score of the sgACC was significantly higher in the MDD group than in the BD and HC groups, and the SCA z score was significantly higher in the MDD and BD groups than in the HC group. CONCLUSIONS Our findings suggest that VBM evaluation of GMV reduction in the sgACC may be useful as an objective adjunctive tool to distinguish between MDD and BD.
Collapse
Affiliation(s)
- Richi Niida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.,Department of Radiology, Nanbu Hospital, Itoman, Okinawa, Japan
| | - Bun Yamagata
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Hiroshi Matsuda
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Akira Niida
- Department of Radiology, Nanbu Hospital, Itoman, Okinawa, Japan
| | - Akihiko Uechi
- Cognitive Neuroscience Research Project, Kansai Gaidai University, Hirakata, Osaka, Japan
| | - Shinsuke Kito
- Department of Psychiatry, Jikei University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
10
|
Nandam LS, Brazel M, Zhou M, Jhaveri DJ. Cortisol and Major Depressive Disorder-Translating Findings From Humans to Animal Models and Back. Front Psychiatry 2019; 10:974. [PMID: 32038323 PMCID: PMC6987444 DOI: 10.3389/fpsyt.2019.00974] [Citation(s) in RCA: 121] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 12/09/2019] [Indexed: 12/15/2022] Open
Abstract
Major depressive disorder (MDD) is a global problem for which current pharmacotherapies are not completely effective. Hypothalamic-pituitary-adrenal (HPA) axis dysfunction has long been associated with MDD; however, the value of assessing cortisol as a biological benchmark of the pathophysiology or treatment of MDD is still debated. In this review, we critically evaluate the relationship between HPA axis dysfunction and cortisol level in relation to MDD subtype, stress, gender and treatment regime, as well as in rodent models. We find that an elevated cortisol response to stress is associated with acute and severe, but not mild or atypical, forms of MDD. Furthermore, the increased incidence of MDD in females is associated with greater cortisol response variability rather than higher baseline levels of cortisol. Despite almost all current MDD treatments influencing cortisol levels, we could find no convincing relationship between cortisol level and therapeutic response in either a clinical or preclinical setting. Thus, we argue that the absolute level of cortisol is unreliable for predicting the efficacy of antidepressant treatment. We propose that future preclinical models should reliably produce exaggerated HPA axis responses to acute or chronic stress a priori, which may, or may not, alter baseline cortisol levels, while also modelling the core symptoms of MDD that can be targeted for reversal. Combining genetic and environmental risk factors in such a model, together with the interrogation of the resultant molecular, cellular, and behavioral changes, promises a new mechanistic understanding of MDD and focused therapeutic strategies.
Collapse
Affiliation(s)
- L. Sanjay Nandam
- Mental Health Unit, Prince Charles Hospital, Brisbane, QLD, Australia
- *Correspondence: L. Sanjay Nandam, ; Dhanisha J. Jhaveri,
| | - Matthew Brazel
- Mental Health Unit, Prince Charles Hospital, Brisbane, QLD, Australia
- Department of Psychiatry, Royal Hobart Hospital, Hobart, TAS, Australia
| | - Mei Zhou
- Mater Research Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Dhanisha J. Jhaveri
- Mater Research Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- *Correspondence: L. Sanjay Nandam, ; Dhanisha J. Jhaveri,
| |
Collapse
|
11
|
Yang J, Zhang M, Ahn H, Zhang Q, Jin TB, Li I, Nemesure M, Joshi N, Jiang H, Miller JM, Ogden RT, Petkova E, Milak MS, Sublette ME, Sullivan GM, Trivedi MH, Weissman M, McGrath PJ, Fava M, Kurian BT, Pizzagalli DA, Cooper CM, McInnis M, Oquendo MA, Mann JJ, Parsey RV, DeLorenzo C. Development and evaluation of a multimodal marker of major depressive disorder. Hum Brain Mapp 2018; 39:4420-4439. [PMID: 30113112 DOI: 10.1002/hbm.24282] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/16/2018] [Accepted: 06/04/2018] [Indexed: 12/30/2022] Open
Abstract
This study aimed to identify biomarkers of major depressive disorder (MDD), by relating neuroimage-derived measures to binary (MDD/control), ordinal (severe MDD/mild MDD/control), or continuous (depression severity) outcomes. To address MDD heterogeneity, factors (severity of psychic depression, motivation, anxiety, psychosis, and sleep disturbance) were also used as outcomes. A multisite, multimodal imaging (diffusion MRI [dMRI] and structural MRI [sMRI]) cohort (52 controls and 147 MDD patients) and several modeling techniques-penalized logistic regression, random forest, and support vector machine (SVM)-were used. An additional cohort (25 controls and 83 MDD patients) was used for validation. The optimally performing classifier (SVM) had a 26.0% misclassification rate (binary), 52.2 ± 1.69% accuracy (ordinal) and r = .36 correlation coefficient (p < .001, continuous). Using SVM, R2 values for prediction of any MDD factors were <10%. Binary classification in the external data set resulted in 87.95% sensitivity and 32.00% specificity. Though observed classification rates are too low for clinical utility, four image-based features contributed to accuracy across all models and analyses-two dMRI-based measures (average fractional anisotropy in the right cuneus and left insula) and two sMRI-based measures (asymmetry in the volume of the pars triangularis and the cerebellum) and may serve as a priori regions for future analyses. The poor accuracy of classification and predictive results found here reflects current equivocal findings and sheds light on challenges of using these modalities for MDD biomarker identification. Further, this study suggests a paradigm (e.g., multiple classifier evaluation with external validation) for future studies to avoid nongeneralizable results.
Collapse
Affiliation(s)
- Jie Yang
- Department of Family, Population and Preventive Medicine, Stony Brook University, New York, New York
| | - Mengru Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Hongshik Ahn
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Qing Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Tony B Jin
- Department of Psychiatry, Stony Brook University, New York, New York
| | - Ien Li
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
| | - Matthew Nemesure
- Integrative Neuroscience Program, Binghamton University, Binghamton, New York
| | - Nandita Joshi
- Department of Electrical and Computer Engineering, Stony Brook University, New York, New York
| | - Haoran Jiang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Jeffrey M Miller
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Eva Petkova
- Department of Child & Adolescent Psychiatry, Department of Population Health, New York University, New York, New York
| | - Matthew S Milak
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Gregory M Sullivan
- Chief Medical Officer, Clinical Research and Development program, Tonix Pharmaceuticals, Inc., New York, New York
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Benji T Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Maria A Oquendo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph John Mann
- Department of Psychiatry, Columbia University, New York, New York
| | - Ramin V Parsey
- Department of Psychiatry, Stony Brook University, New York, New York
| | | |
Collapse
|
12
|
Montag C, Zhao Z, Sindermann C, Xu L, Fu M, Li J, Zheng X, Li K, Kendrick KM, Dai J, Becker B. Internet Communication Disorder and the structure of the human brain: initial insights on WeChat addiction. Sci Rep 2018; 8:2155. [PMID: 29391461 PMCID: PMC5794793 DOI: 10.1038/s41598-018-19904-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 01/10/2018] [Indexed: 12/24/2022] Open
Abstract
WeChat represents one of the most popular smartphone-based applications for communication. Although the application provides several useful features that simplify daily life, a growing number of users spend excessive amounts of time on the application. This may lead to interferences with everyday life and even to addictive patterns of use. In the context of the ongoing discussion on Internet Communication Disorder (ICD), the present study aimed to better characterize the addictive potential of communication applications, using WeChat as an example, by examining associations between individual variations in tendencies towards WeChat addiction and brain structural variations in fronto-striatal-limbic brain regions. To this end levels of addictive tendencies, frequency of use and structural MRI data were assessed in n = 61 healthy participants. Higher tendencies towards WeChat addiction were associated with smaller gray matter volumes of the subgenual anterior cingulate cortex, a key region for monitoring and regulatory control in neural networks underlying addictive behaviors. Moreover, a higher frequency of the paying function was associated with smaller nucleus accumbens volumes. Findings were robust after controlling for levels of anxiety and depression. The present results are in line with previous findings in substance and behavioral addictions, and suggest a similar neurobiological basis in ICD.
Collapse
Affiliation(s)
- Christian Montag
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
- Institute of Psychology and Education, Ulm University, Ulm, Germany.
| | - Zhiying Zhao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | | | - Lei Xu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Meina Fu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Jialin Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaoxiao Zheng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Keshuang Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Keith M Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Jing Dai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- Chengdu Mental Health Center, Chengdu, 610031, China
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
| |
Collapse
|
13
|
Baranyi A, Amouzadeh-Ghadikolai O, von Lewinski D, Breitenecker RJ, Rothenhäusler HB, Robier C, Baranyi M, Theokas S, Meinitzer A. Revisiting the tryptophan-serotonin deficiency and the inflammatory hypotheses of major depression in a biopsychosocial approach. PeerJ 2017; 5:e3968. [PMID: 29109914 PMCID: PMC5671663 DOI: 10.7717/peerj.3968] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 10/08/2017] [Indexed: 12/19/2022] Open
Abstract
Background The aim of this cross-sectional study was to identify important biopsychosocial correlates of major depression. Biological mechanisms, including the inflammatory and the tryptophan-serotonin deficiency hypotheses of major depression, were investigated alongside health-related quality of life, life satisfaction, and social support. Methods The concentrations of plasma tryptophan, plasma kynurenine, plasma kynurenic acid, serum quinolinic acid, and the tryptophan breakdown to kynurenine were determined alongside health-related quality of life (Medical Outcome Study Form, SF-36), life satisfaction (Life Satisfaction Questionnaire, FLZ), and social support (Social Support Survey, SSS) in 71 depressive patients at the time of their in-patient admittance and 48 healthy controls. Results Corresponding with the inflammatory hypothesis of major depression, our study results suggest a tryptophan breakdown to kynurenine in patients with major depression, and depressive patients had a lower concentration of neuroprotective kynurenic acid in comparison to the healthy controls (Mann-Whitney-U: 1315.0; p = 0.046). Contradicting the inflammatory theory, the concentrations of kynurenine (t: -0.945; df = 116; p = 0.347) and quinolinic acid (Mann-Whitney-U: 1376.5; p = 0.076) in depressive patients were not significantly different between depressed and healthy controls. Our findings tend to support the tryptophan-serotonin deficiency hypothesis of major depression, as the deficiency of the serotonin precursor tryptophan in depressive patients (t: -3.931; df = 116; p < 0.001) suggests dysfunction of serotonin neurotransmission. A two-step hierarchical linear regression model showed that low tryptophan concentrations, low social support (SSS), occupational requirements (FLZ), personality traits (FLZ), impaired physical role (SF-36), and impaired vitality (SF-36) predict higher Beck Depression Inventory (BDI-II) scores. Discussion Our study results argue for the validity of a biopsychosocial model of major depression with multiple pathophysiological mechanisms involved.
Collapse
Affiliation(s)
- Andreas Baranyi
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | | | - Dirk von Lewinski
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | | | - Hans-Bernd Rothenhäusler
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | | | - Maria Baranyi
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Simon Theokas
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria
| | - Andreas Meinitzer
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| |
Collapse
|
14
|
Park SC, Jang EY, Kim JM, Jun TY, Lee MS, Kim JB, Yim HW, Park YC. Clinical Validation of the Psychotic Depression Assessment Scale, Hamilton Depression Rating Scale-6, and Brief Psychiatric Rating Scale-5: Results from the Clinical Research Center for Depression Study. Psychiatry Investig 2017; 14:568-576. [PMID: 29042881 PMCID: PMC5639124 DOI: 10.4306/pi.2017.14.5.568] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 07/26/2016] [Accepted: 08/15/2016] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The aim of this study was to validate the psychotic depression assessment scale (PDAS), which includes the six-item melancholia subscale from the Hamilton depression rating scale (HAMD-6) and the five-item psychosis subscale from the brief psychiatric rating scale (BPRS-5). Data from the Clinical Research Center for Depression (CRESCEND) study, which is a 52-week naturalistic trial, were analyzed. METHODS Fifty-two patients with psychotic depression from the CRESCEND study met our inclusion criteria. The patients underwent the following psychometric assessments: the PDAS, including HAMD-6 and BPRS-5, the clinical global impression scales, the HAMD, the positive symptom subscale, and the negative symptom subscale. Assessments were performed at the baseline and then at weeks 1, 2, 4, 8, 12, 24, and 52. Spearman correlation analyses were used to assess the clinical validity and responsiveness of the PDAS. RESULTS The clinical validity and responsiveness of the PDAS, including HAMD-6 and BPRS-5, were acceptable, with the exception of the clinical responsiveness of the PDAS for positive symptoms and the clinical responsiveness of BPRS-5 for negative symptoms. CONCLUSION The clinical relevance of the PDAS has been confirmed and this clinical validation will enhance its clinical utility and availability.
Collapse
Affiliation(s)
- Seon-Cheol Park
- Department of Psychiatry, Inje University College of Medicine and Haeundae Paik Hospital, Busan, Republic of Korea
| | - Eun Young Jang
- Department of Counseling Psychology, Honam University College of Humanities and Social Sciences, Gwangju, Republic of Korea
| | - Jae-Min Kim
- Department of Psychiatry, Chonnam National University School of Medicine, Gwangju, Republic of Korea
| | - Tae-Youn Jun
- Department of Psychiatry, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Min-Soo Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jung-Bum Kim
- Department of Psychiatry, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Hyeon-Woo Yim
- Department of Preventive Medicine, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea
| | - Yong Chon Park
- Department of Psychiatry, Hanyang University, Guri Hospital, Guri, Republic of Korea
| |
Collapse
|
15
|
Bijanki KR, Matsui JT, Mayberg HS, Magnotta VA, Arndt S, Johnson HJ, Nopoulos P, Paradiso S, McCormick LM, Fiedorowicz JG, Epping EA, Moser DJ. Depressive symptoms related to low fractional anisotropy of white matter underlying the right ventral anterior cingulate in older adults with atherosclerotic vascular disease. Front Hum Neurosci 2015; 9:408. [PMID: 26236221 PMCID: PMC4502350 DOI: 10.3389/fnhum.2015.00408] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Accepted: 07/02/2015] [Indexed: 11/13/2022] Open
Abstract
We sought to characterize the relationship between integrity of the white matter underlying the ventral anterior cingulate (vAC) and depressive symptoms in older adults with atherosclerotic vascular disease (AVD), a condition associated with preferential degeneration of the white matter. The vAC was defined as including white matter underlying ventral Brodmann Area 24 and Brodmann Area 25, corresponding with the "subcallosal" and "subgenual" cingulate respectively. This region of interest was chosen based on the preponderance of evidence that the white matter in the region plays a critical role in the manifestation of depressive symptoms. Participants had current unequivocal diagnoses of AVD and were between 55 and 90 years-old. Fractional anisotropy (FA) was used as an index of white matter integrity and organization. Whole-brain mean diffusivity (MD) was used as an index of global white matter lesion burden. Depressive symptoms were measured using the Symptom Checklist-90-Revised (SCL-90-R) Depression Scale. Depressive symptoms were significantly related to low FA in the right vAC (r = -0.356, df = 30, p = 0.045) but not the left vAC (r = 0.024, df = 30, p = 0.896) after controlling for total brain MD (a statistical control for global white matter lesion burden). Further, depressive symptoms were significantly related to low FA in the right vAC (r = -0.361, df = 31, p = 0.039), but not the left vAC (r = 0.259, df = 31, p = 0.145) when controlled for the contralateral vAC FA. The correlation coefficients for this follow-up analysis were found to be significantly different between left and right vAC (Z = 2.310, p = 0.021). Poor white matter health in the vAC may be a biological mechanism for depressive symptoms in older adults with vascular disease. Further studies may corroborate that the right vAC plays a unique role in depressive symptom manifestation in cases where the white matter is preferentially affected, as is the case in AVD. This could lead to future targeting of the region for somatic antidepressant treatment, as well as the development of a precise approach for patients with white matter damage, which could produce significant improvement in quality of life, medical morbidity, and mortality.
Collapse
Affiliation(s)
- Kelly R Bijanki
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA ; Department of Psychiatry, Emory University School of Medicine, Atlanta, GA USA
| | - Joy T Matsui
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA ; Department of Biomedical Engineering, University of Iowa College of Engineering, Iowa City, IA USA
| | - Helen S Mayberg
- Department of Psychiatry, Emory University School of Medicine, Atlanta, GA USA ; Department of Neurology, Emory University School of Medicine, Atlanta, GA USA
| | - Vincent A Magnotta
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA ; Department of Biomedical Engineering, University of Iowa College of Engineering, Iowa City, IA USA ; Department of Radiology, The University of Iowa Carver College of Medicine, Iowa City, IA USA
| | - Stephan Arndt
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA ; Department of Biostatistics, University of Iowa College of Public Health, Iowa City, IA USA
| | - Hans J Johnson
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA ; Department of Biomedical Engineering, University of Iowa College of Engineering, Iowa City, IA USA
| | - Peg Nopoulos
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA
| | - Sergio Paradiso
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA ; Núcleo UDP-Fundación INECO para las Neurociencias, Facultad de Psicología, Universidad Diego Portales, Santiago Chile
| | - Laurie M McCormick
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA
| | - Jess G Fiedorowicz
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA ; Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA USA
| | - Eric A Epping
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA
| | - David J Moser
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA USA
| |
Collapse
|
16
|
Epigenetic modification of the oxytocin receptor gene influences the perception of anger and fear in the human brain. Proc Natl Acad Sci U S A 2015; 112:3308-13. [PMID: 25675509 DOI: 10.1073/pnas.1422096112] [Citation(s) in RCA: 143] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
In humans, the neuropeptide oxytocin plays a critical role in social and emotional behavior. The actions of this molecule are dependent on a protein that acts as its receptor, which is encoded by the oxytocin receptor gene (OXTR). DNA methylation of OXTR, an epigenetic modification, directly influences gene transcription and is variable in humans. However, the impact of this variability on specific social behaviors is unknown. We hypothesized that variability in OXTR methylation impacts social perceptual processes often linked with oxytocin, such as perception of facial emotions. Using an imaging epigenetic approach, we established a relationship between OXTR methylation and neural activity in response to emotional face processing. Specifically, high levels of OXTR methylation were associated with greater amounts of activity in regions associated with face and emotion processing including amygdala, fusiform, and insula. Importantly, we found that these higher levels of OXTR methylation were also associated with decreased functional coupling of amygdala with regions involved in affect appraisal and emotion regulation. These data indicate that the human endogenous oxytocin system is involved in attenuation of the fear response, corroborating research implicating intranasal oxytocin in the same processes. Our findings highlight the importance of including epigenetic mechanisms in the description of the endogenous oxytocin system and further support a central role for oxytocin in social cognition. This approach linking epigenetic variability with neural endophenotypes may broadly explain individual differences in phenotype including susceptibility or resilience to disease.
Collapse
|
17
|
Yang X, Ma X, Li M, Liu Y, Zhang J, Huang B, Zhao L, Deng W, Li T, Ma X. Anatomical and functional brain abnormalities in unmedicated major depressive disorder. Neuropsychiatr Dis Treat 2015; 11:2415-23. [PMID: 26425096 PMCID: PMC4581780 DOI: 10.2147/ndt.s93055] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Using magnetic resonance imaging (MRI) and resting-state functional magnetic resonance imaging (rsfMRI) to explore the mechanism of brain structure and function in unmedicated patients with major depressive disorder (MDD). PATIENTS AND METHODS Fifty patients with MDD and 50 matched healthy control participants free of psychotropic medication underwent high-resolution structural and rsfMRI scanning. Optimized diffeomorphic anatomical registration through exponentiated lie algebra and the Data Processing Assistant for rsfMRI were used to find potential differences in gray-matter volume (GMV) and regional homogeneity (ReHo) between the two groups. A Pearson correlation model was used to analyze associations of morphometric and functional changes with clinical symptoms. RESULTS Compared to healthy controls, patients with MDD showed significant GMV increase in the left posterior cingulate gyrus and GMV decrease in the left lingual gyrus (P<0.001, uncorrected). In ReHo analysis, values were significantly increased in the left precuneus and decreased in the left putamen (P<0.001, uncorrected) in patients with MDD compared to healthy controls. There was no overlap between anatomical and functional changes. Linear correlation suggested no significant correlation between mean GMV values within regions with anatomical abnormality and ReHo values in regions with functional abnormality in the patient group. These changes were not significantly correlated with symptom severity. CONCLUSION Our study suggests a dissociation pattern of brain regions with anatomical and functional alterations in unmedicated patients with MDD, especially with regard to GMV and ReHo.
Collapse
Affiliation(s)
- Xiao Yang
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China ; National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xiaojuan Ma
- Chengdu First People's Hospital, Chengdu, People's Republic of China
| | - Mingli Li
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China ; National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Ye Liu
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China
| | - Jian Zhang
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China
| | - Bin Huang
- Dong Feng Mao Jian Hospital, Shiyan, People's Republic of China
| | - Liansheng Zhao
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China ; National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Wei Deng
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China ; National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Tao Li
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China ; National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xiaohong Ma
- Psychiatric Laboratory and Department of Psychiatry, Sichuan University, Chengdu, People's Republic of China ; National Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| |
Collapse
|