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Campos-Arteaga G, Flores-Torres J, Rojas-Thomas F, Morales-Torres R, Poyser D, Sitaram R, Rodríguez E, Ruiz S. EEG subject-dependent neurofeedback training selectively impairs declarative memories consolidation process. Int J Psychophysiol 2024; 203:112406. [PMID: 39038520 DOI: 10.1016/j.ijpsycho.2024.112406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 07/15/2024] [Accepted: 07/19/2024] [Indexed: 07/24/2024]
Abstract
The process of stabilization and storage of memories, known as consolidation, can be modulated by different interventions. Research has shown that self-regulation of brain activity through Neurofeedback (NFB) during the consolidation phase significantly impacts memory stabilization. While some studies have successfully modulated the consolidation phase using traditional EEG-based Neurofeedback (NFB) that focuses on general parameters, such as training a specific frequency band at particular electrodes, they often overlook the unique and complex neurodynamics that underlie each memory content in different individuals, potentially limiting the selective modulation of memories. The main objective of this study is to investigate the effects of a Subject-Dependent NFB (SD-NFB), based on individual models created from the brain activity of each participant, on long-term declarative memories. Participants underwent an experimental protocol involving three sessions. In the first session, they learned images of faces and houses while their brain activity was recorded. This EEG data was used to create individualized models to identify brain patterns related to learning these images. Participants were then divided into three groups, with one group receiving SD-NFB to enhance brain activity linked to faces, another to houses, and a CONTROL sham group that did not receive SD-NFB. Memory performance was evaluated 24 h and seven days later using an 'old-new' recognition task, where participants distinguished between 'old' and 'new' images. The results showed that memory contents (faces or houses) whose brain patterns were trained via SD-NFB scored lower in recognition compared to untrained contents, as evidenced 24 h and seven days post-training. In summary, this study demonstrates that SD-NFB can selectively impact the consolidation of specific declarative memories. This technique could hold significant implications for clinical applications, potentially aiding in the modulation of declarative memory strength in neuropsychiatric disorders where memories are pathologically exacerbated.
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Affiliation(s)
- G Campos-Arteaga
- Universidad Tecnológica Metropolitana, Escuela de Psicología, Santiago, Chile.
| | - J Flores-Torres
- Pontificia Universidad Católica de Chile, Laboratorio de Neurodinámica Básica y Aplicada, Escuela de Psicología, Santiago, Chile; Pontificia Universidad Católica de Chile, Laboratorio de Neurociencias, Santiago, Chile
| | - F Rojas-Thomas
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago de Chile, Chile
| | - R Morales-Torres
- Duke University, Center for Cognitive Neuroscience, Durham, NC, United States of America
| | - D Poyser
- Pontificia Universidad Católica de Chile, Laboratorio de Neurodinámica Básica y Aplicada, Escuela de Psicología, Santiago, Chile
| | - R Sitaram
- Pontificia Universidad Católica de Chile, Laboratory for Brain-Machine Interfaces and Neuromodulation, Santiago, Chile; St. Jude Children's Research Hospital, Diagnostic Imaging Department, Multimodal Functional Brain Imaging Hub, Memphis, TN, United States of America
| | - E Rodríguez
- Pontificia Universidad Católica de Chile, Laboratorio de Neurodinámica Básica y Aplicada, Escuela de Psicología, Santiago, Chile
| | - S Ruiz
- Pontificia Universidad Católica de Chile, Laboratory for Brain-Machine Interfaces and Neuromodulation, Santiago, Chile; Pontificia Universidad Católica de Chile, Department of Psychiatry and Division of Neuroscience, Escuela de Medicina, Centro Interdisciplinario de Neurociencias, Santiago, Chile
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Ma D, Zhang X, Mao F, Yang J, Sun M, Wang Y, Huang Y, Cao F. Relationship Between Sleep Problems and Memory Impairment Among Nurses. Int J Behav Med 2024:10.1007/s12529-024-10289-z. [PMID: 38658436 DOI: 10.1007/s12529-024-10289-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Sleep problems are common among nurses and can lead to various health problems. Further, the relationship between multiple sleep problems and memory impairment in clinical nurses remains unknown. Therefore, in this study, we aimed to explore the relationship between sleep problems and memory impairment among nurses. METHODS Multistage cluster-stratified random sampling was performed from tertiary hospitals in Shandong, China. Overall, a total of 1833 nurses were included in the final analysis. The Chinese version of the Pittsburgh Sleep Quality Index and prospective and retrospective memory questionnaire were administered to the participants. RESULTS The sleep quality of the nurses decreased during the normal epidemic prevention and control period compared with that before the epidemic in terms of sleep duration, sleep efficiency, and sleep disturbances. Nurses who reported cumulative or specific sleep problems (e.g., high sleep latency, sleep disturbances, and daytime dysfunction) and those in the "daily disturbances" and "poor sleep quality" groups had a higher risk of memory impairment than the others. CONCLUSION Sleep problems might be important for memory impairment among nurses. These findings may help identify nurses at considerable risk of memory impairment in clinical practice.
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Affiliation(s)
- Dandan Ma
- School of Nursing and Rehabilitation, Shandong University, 250012, Jinan, Shandong Province, China
| | - Xuan Zhang
- School of Nursing and Rehabilitation, Shandong University, 250012, Jinan, Shandong Province, China
| | - Fangxiang Mao
- Department of Epidemiology, Erasmus Medical Center, Erasmus University Rotterdam, Doctor Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
| | - Jinping Yang
- Qianfoshan Hospital, 250014, Jinan, Shandong Province, China
| | - Meng Sun
- Qilu Hospital of Shandong University, 250012, Jinan, Shandong Province, China
| | - Ying Wang
- School of Nursing and Rehabilitation, Shandong University, 250012, Jinan, Shandong Province, China
| | - Yongqi Huang
- School of Nursing and Rehabilitation, Shandong University, 250012, Jinan, Shandong Province, China
| | - Fenglin Cao
- School of Nursing and Rehabilitation, Shandong University, 250012, Jinan, Shandong Province, China.
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Nourry N, Alsayed Obeid S, Rolling J, Lefebvre F, Baumlin S, Nasseri M, Berna F, Charbotel B, Gonzalez M, Vidailhet P, Mengin AC. Posttraumatic stress disorder and depression after the 2018 Strasbourg Christmas Market terrorist attack: a comparison of exposed and non-exposed police personnel. Eur J Psychotraumatol 2023; 14:2214872. [PMID: 37305952 PMCID: PMC10262818 DOI: 10.1080/20008066.2023.2214872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 06/13/2023] Open
Abstract
Background: Police personnel are among the first responders exposed to terrorist attacks, raising in number in the late decades. Due to their profession, they are also exposed to repetitive violence, increasing their vulnerability to PTSD and depression.Objective: Our study aims at comparing the prevalence of PTSD and depression, and the risk factors associated with these conditions among directly and indirectly exposed versus non-exposed police personnel during the Strasbourg Christmas Market terrorist attack.Method: Three months after the attack, participants completed a survey assessing their sociodemographic characteristics, occupational data, degree of exposure, sleep debt around the event, event centrality (CES), and three mental health conditions: PTSD (PCL-5), depression (PHQ-9), and suicide risk (yes/no questions).Results: A total of 475 police personnel responded to the questionnaire: 263 were exposed to the attack (182 of them directly) and 212 were non-exposed. Among directly exposed participants, the prevalences of partial and complete PTSD were 12.6 and 6.6%, and the prevalence of moderate-to-severe depression was 11.5%. Multivariate analysis revealed that direct exposure was associated with a higher risk of PTSD (OR = 2.98 [1.10-8.12], p = .03). Direct exposure was not associated with a higher risk of depression (OR = 0.40 [0.10-1.10], p = .08). A significant sleep debt after the event was not associated with a higher risk of later PTSD (OR = 2.18 [0.81-5.91], p = .13) but was associated with depression (OR = 7.92 [2.40-26.5], p < .001). A higher event centrality was associated with both PTSD and depression (p < .001).Conclusions: Police personnel directly exposed to the Strasbourg Christmas Market terrorist attack were at higher risk of PTSD but not depression. Efforts to prevent and treat PTSD should focus on directly exposed police personnel. However, general mental health should be monitored for every personnel member.
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Affiliation(s)
- Nathalie Nourry
- Hôpitaux Universitaires de Strasbourg, Service de Pathologies Professionnelles et Médecine du Travail, Strasbourg, France
- Strasbourg University, Faculty of Medicine, Strasbourg, France
- Université de Lyon, Université Claude Bernard Lyon 1, Université Gustave Eiffel, Lyon Cedex, France
| | - Shadi Alsayed Obeid
- Hôpitaux Universitaires de Strasbourg, Service de Pathologies Professionnelles et Médecine du Travail, Strasbourg, France
- Strasbourg University, Faculty of Medicine, Strasbourg, France
| | - Julie Rolling
- Regional Center for Psychotrauma Great East, Strasbourg, France
- Psychiatry, Mental Health and Addictology Department, Strasbourg University Hospital, Strasbourg, France
- Centre National de la Recherche Scientifique Unité Propre de Recherche 3212 (CNRS UPR 3212), Institute for Cellular and Integrative Neurosciences (INCI), Strasbourg, France
| | - François Lefebvre
- Hôpitaux Universitaires de Strasbourg, Département de Santé Publique, GMRC, Strasbourg, France
- Université de Strasbourg, Laboratoire de Biostatistique et Informatique Médicale, Illkirch, France
| | - Sandra Baumlin
- Service de Soutien Psychologique opérationnel, Police Nationale, Ministère de l’Intérieur, Préfecture du Bas Rhin, Strasbourg, France
| | - Mohamed Nasseri
- Hôpitaux Universitaires de Strasbourg, Département de Santé Publique, GMRC, Strasbourg, France
- Université de Strasbourg, Laboratoire de Biostatistique et Informatique Médicale, Illkirch, France
| | - Fabrice Berna
- Strasbourg University, Faculty of Medicine, Strasbourg, France
- Regional Center for Psychotrauma Great East, Strasbourg, France
- Psychiatry, Mental Health and Addictology Department, Strasbourg University Hospital, Strasbourg, France
- INSERM U1114, Cognitive Neuropsychology, and Pathophysiology of Schizophrenia, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Barbara Charbotel
- Université de Lyon, Université Claude Bernard Lyon 1, Université Gustave Eiffel, Lyon Cedex, France
| | - Maria Gonzalez
- Hôpitaux Universitaires de Strasbourg, Service de Pathologies Professionnelles et Médecine du Travail, Strasbourg, France
- Strasbourg University, Faculty of Medicine, Strasbourg, France
| | - Pierre Vidailhet
- Strasbourg University, Faculty of Medicine, Strasbourg, France
- Regional Center for Psychotrauma Great East, Strasbourg, France
- Psychiatry, Mental Health and Addictology Department, Strasbourg University Hospital, Strasbourg, France
- INSERM U1114, Cognitive Neuropsychology, and Pathophysiology of Schizophrenia, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Amaury C. Mengin
- Regional Center for Psychotrauma Great East, Strasbourg, France
- Psychiatry, Mental Health and Addictology Department, Strasbourg University Hospital, Strasbourg, France
- INSERM U1114, Cognitive Neuropsychology, and Pathophysiology of Schizophrenia, Strasbourg, France
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4
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Lipinska G, Austin H, Moonsamy JR, Henry M, Lewis R, Baldwin DS, Thomas KGF, Stuart B. Preferential consolidation of emotional reactivity during sleep: A systematic review and meta-analysis. Front Behav Neurosci 2022; 16:976047. [PMID: 36268469 PMCID: PMC9578377 DOI: 10.3389/fnbeh.2022.976047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 08/26/2022] [Indexed: 11/24/2022] Open
Abstract
Many studies have investigated whether sleep affects cognitively unmodulated reactivity to emotional stimuli. These studies operationalize emotion regulation by using subjective and/or objective measures to compare pre- and post-sleep reactivity to the same emotional stimuli. Findings have been inconsistent: some show that sleep attenuates emotional reactivity, whereas others report enhanced or maintained reactivity. Across-study methodological differences may account for discrepant findings. To resolve the questions of whether sleep leads to the attenuation, enhancement, or maintenance of emotional reactivity, and under which experimental conditions particular effects are observed, we undertook a synthesized narrative and meta-analytic approach. We searched PubMed, PsycINFO, PsycARTICLES, Web of Science, and Cochrane Library databases for relevant articles, using search terms determined a priori and search limits of language = English, participants = human, and dates = January 2006–June 2021. Our final sample included 24 studies that investigated changes in emotional reactivity in response to negatively and/or positively valenced material compared to neutral material over a period of sleep compared to a matched period of waking. Primary analyses used random effects modeling to investigate whether sleep preferentially modulates reactivity in response to emotional stimuli; secondary analyses examined potential moderators of the effect. Results showed that sleep (or equivalent periods of wakefulness) did not significantly affect psychophysiological measures of reactivity to negative or neutral stimuli. However, self-reported arousal ratings of negative stimuli were significantly increased post-sleep but not post-waking. Sub-group analyses indicated that (a) sleep-deprived participants, compared to those who slept or who experienced daytime waking, reacted more strongly and negatively in response to positive stimuli; (b) nap-exposed participants, compared to those who remained awake or who slept a full night, rated negative pictures less negatively; and (c) participants who did not obtain substantial REM sleep, compared to those who did and those exposed to waking conditions, had attenuated reactivity to neutral stimuli. We conclude that sleep may affect emotional reactivity, but that studies need more consistency in methodology, commitment to collecting both psychophysiological and self-report measures, and should report REM sleep parameters. Using these methodological principles would promote a better understanding of under which conditions particular effects are observed.
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Affiliation(s)
- Gosia Lipinska
- UCT Sleep Sciences and Applied Cognitive Science and Experimental Neuroscience Team (ACSENT), Department of Psychology, University of Cape Town, Cape Town, South Africa
- *Correspondence: Gosia Lipinska
| | - Holly Austin
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Jasmin R. Moonsamy
- UCT Sleep Sciences and Applied Cognitive Science and Experimental Neuroscience Team (ACSENT), Department of Psychology, University of Cape Town, Cape Town, South Africa
| | - Michelle Henry
- UCT Sleep Sciences and Applied Cognitive Science and Experimental Neuroscience Team (ACSENT), Department of Psychology, University of Cape Town, Cape Town, South Africa
- Numeracy Centre, Centre for Higher Education Development, University of Cape Town, Cape Town, South Africa
| | - Raphaella Lewis
- UCT Sleep Sciences and Applied Cognitive Science and Experimental Neuroscience Team (ACSENT), Department of Psychology, University of Cape Town, Cape Town, South Africa
| | - David S. Baldwin
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Kevin G. F. Thomas
- UCT Sleep Sciences and Applied Cognitive Science and Experimental Neuroscience Team (ACSENT), Department of Psychology, University of Cape Town, Cape Town, South Africa
| | - Beth Stuart
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
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5
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Harnett NG, Finegold KE, Lebois LAM, van Rooij SJH, Ely TD, Murty VP, Jovanovic T, Bruce SE, House SL, Beaudoin FL, An X, Zeng D, Neylan TC, Clifford GD, Linnstaedt SD, Germine LT, Bollen KA, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Kurz MC, Swor RA, Hudak LA, Pascual JL, Seamon MJ, Harris E, Chang AM, Pearson C, Peak DA, Domeier RM, Rathlev NK, O'Neil BJ, Sergot P, Sanchez LD, Miller MW, Pietrzak RH, Joormann J, Barch DM, Pizzagalli DA, Sheridan JF, Harte SE, Elliott JM, Kessler RC, Koenen KC, McLean SA, Nickerson LD, Ressler KJ, Stevens JS. Structural covariance of the ventral visual stream predicts posttraumatic intrusion and nightmare symptoms: a multivariate data fusion analysis. Transl Psychiatry 2022; 12:321. [PMID: 35941117 PMCID: PMC9360028 DOI: 10.1038/s41398-022-02085-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/14/2022] [Accepted: 07/20/2022] [Indexed: 01/16/2023] Open
Abstract
Visual components of trauma memories are often vividly re-experienced by survivors with deleterious consequences for normal function. Neuroimaging research on trauma has primarily focused on threat-processing circuitry as core to trauma-related dysfunction. Conversely, limited attention has been given to visual circuitry which may be particularly relevant to posttraumatic stress disorder (PTSD). Prior work suggests that the ventral visual stream is directly related to the cognitive and affective disturbances observed in PTSD and may be predictive of later symptom expression. The present study used multimodal magnetic resonance imaging data (n = 278) collected two weeks after trauma exposure from the AURORA study, a longitudinal, multisite investigation of adverse posttraumatic neuropsychiatric sequelae. Indices of gray and white matter were combined using data fusion to identify a structural covariance network (SCN) of the ventral visual stream 2 weeks after trauma. Participant's loadings on the SCN were positively associated with both intrusion symptoms and intensity of nightmares. Further, SCN loadings moderated connectivity between a previously observed amygdala-hippocampal functional covariance network and the inferior temporal gyrus. Follow-up MRI data at 6 months showed an inverse relationship between SCN loadings and negative alterations in cognition in mood. Further, individuals who showed decreased strength of the SCN between 2 weeks and 6 months had generally higher PTSD symptom severity over time. The present findings highlight a role for structural integrity of the ventral visual stream in the development of PTSD. The ventral visual stream may be particularly important for the consolidation or retrieval of trauma memories and may contribute to efficient reactivation of visual components of the trauma memory, thereby exacerbating PTSD symptoms. Potentially chronic engagement of the network may lead to reduced structural integrity which becomes a risk factor for lasting PTSD symptoms.
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Affiliation(s)
- Nathaniel G Harnett
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | | | - Lauren A M Lebois
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Timothy D Ely
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Vishnu P Murty
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO, USA
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Francesca L Beaudoin
- Department of Emergency Medicine & Department of Health Services, Policy, and Practice, The Alpert Medical School of Brown University, Rhode Island Hospital and The Miriam Hospital, Providence, RI, USA
| | - Xinming An
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Donglin Zeng
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Thomas C Neylan
- Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Laura T Germine
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
- The Many Brains Project, Belmont, MA, USA
| | - Kenneth A Bollen
- Department of Psychology and Neuroscience & Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, McLean Hospital, Belmont, MA, USA
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Brittany E Punches
- Department of Emergency Medicine, Ohio State University College of Medicine, Columbus, OH, USA
- Ohio State University College of Nursing, Columbus, OH, USA
| | - Michael C Kurz
- Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, AL, USA
- Department of Surgery, Division of Acute Care Surgery, University of Alabama School of Medicine, Birmingham, AL, USA
- Center for Injury Science, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Lauren A Hudak
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Jose L Pascual
- Department of Surgery, Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark J Seamon
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Surgery, Division of Traumatology, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Anna M Chang
- Department of Emergency Medicine, Jefferson University Hospitals, Philadelphia, PA, USA
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Ascension St. John Hospital, Detroit, MI, USA
| | - David A Peak
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Robert M Domeier
- Department of Emergency Medicine, Saint Joseph Mercy Hospital, Ypsilanti, MI, USA
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, USA
| | - Brian J O'Neil
- Department of Emergency Medicine, Wayne State University, Detroit Receiving Hospital, Detroit, MI, USA
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School, University of Texas Health, Houston, TX, USA
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA
| | - Mark W Miller
- National Center for PTSD, Behavioral Science Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Robert H Pietrzak
- National Center for PTSD, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Diego A Pizzagalli
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - John F Sheridan
- Division of Biosciences, Ohio State University College of Dentistry, Columbus, OH, USA
- Institute for Behavioral Medicine Research, OSU Wexner Medical Center, Columbus, OH, USA
| | - Steven E Harte
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - James M Elliott
- Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Northern Sydney Local Health District, New South Wales, Australia
- Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Samuel A McLean
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lisa D Nickerson
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Kerry J Ressler
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
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6
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Bian Y, Lin C, Ma B, Han X, Yue W, Yang F, Wang Z. Effect of subjective sleep quality on learning and memory in drug-free patients with schizophrenia. Psychiatry Res 2021; 299:113849. [PMID: 33721784 DOI: 10.1016/j.psychres.2021.113849] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/28/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE This study aims to elucidate the association paths between subjective sleep quality and the learning and memory ability of drug-free patients with schizophrenia. METHODS 150 patients with schizophrenia were recruited. Information on clinical and socio-demographic was obtained, and a neurocognitive battery was administered. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the quality of subjective sleep. The Verbal Learning Test and the Visual Learning Test that were taken from the MATRICS Consensus Cognitive Battery were used to assess the patient's ability to learn and recall. Structural equation modelling (SEM) was performed to examine the relationship between subjective sleep quality and learning and memory ability .The model was further modified and fitted. RESULTS There were significant negative correlations between learning and memory variables and the PSQI scores or the PANSS scores. Significant direct effect of PSQI on Verbal Learning and Visual Learning, and significant indirect effect of PSQI on Verbal Learning and Visual Learning through psychotic symptoms were found in the most plausible SEM model that explains the data. CONCLUSION Subjective sleep quality has a direct impact on the ability to learn and memory, and indirectly affects the ability to learn and memory through psychotic symptoms in drug-free patients with schizophrenia. Sleep quality could be an intervention target for improving cognitive function in patients with schizophrenia.
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Affiliation(s)
- Yun Bian
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing 100096, China.
| | - Chen Lin
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing 100096, China
| | - Botao Ma
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing 100096, China
| | - Xiaole Han
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing 100096, China
| | - Weihua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Fude Yang
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing 100096, China
| | - Zhixiong Wang
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Beijing 100096, China; Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
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7
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Laxminarayan S, Wang C, Ramakrishnan S, Oyama T, Cashmere JD, Germain A, Reifman J. Alterations in sleep electroencephalography synchrony in combat-exposed veterans with post-traumatic stress disorder. Sleep 2021; 43:5714726. [PMID: 31971594 DOI: 10.1093/sleep/zsaa006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 12/26/2019] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES We assessed whether the synchrony between brain regions, analyzed using electroencephalography (EEG) signals recorded during sleep, is altered in subjects with post-traumatic stress disorder (PTSD) and whether the results are reproducible across consecutive nights and subpopulations of the study. METHODS A total of 78 combat-exposed veteran men with (n = 31) and without (n = 47) PTSD completed two consecutive laboratory nights of high-density EEG recordings. We computed a measure of synchrony for each EEG channel-pair across three sleep stages (rapid eye movement [REM] and non-REM stages 2 and 3) and six frequency bands. We examined the median synchrony in 9 region-of-interest (ROI) pairs consisting of 6 bilateral brain regions (left and right frontal, central, and parietal regions) for 10 frequency-band and sleep-stage combinations. To assess reproducibility, we used the first 47 consecutive subjects (18 with PTSD) for initial discovery and the remaining 31 subjects (13 with PTSD) for replication. RESULTS In the discovery analysis, five alpha-band synchrony pairs during non-REM sleep were consistently larger in PTSD subjects compared with controls (effect sizes ranging from 0.52 to 1.44) across consecutive nights: two between the left-frontal and left-parietal ROIs, one between the left-central and left-parietal ROIs, and two across central and parietal bilateral ROIs. These trends were preserved in the replication set. CONCLUSION PTSD subjects showed increased alpha-band synchrony during non-REM sleep in the left frontoparietal, left centro-parietal, and inter-parietal brain regions. Importantly, these trends were reproducible across consecutive nights and subpopulations. Thus, these alterations in alpha synchrony may be discriminatory of PTSD.
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Affiliation(s)
- Srinivas Laxminarayan
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, MD.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., MD
| | - Chao Wang
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, MD.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., MD
| | - Sridhar Ramakrishnan
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, MD.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., MD
| | - Tatsuya Oyama
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, MD.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., MD
| | - J David Cashmere
- Department of Psychiatry, University of Pittsburgh School of Medicine, PA
| | - Anne Germain
- Department of Psychiatry, University of Pittsburgh School of Medicine, PA
| | - Jaques Reifman
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, MD
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8
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Okuda M, Noda A, Mabuchi S, Iwamoto K, Banno M, Miyata S, Yasuma F, Ozaki N. Sleep fragmentation and working memory in healthy adults. Sleep Sci 2021; 14:111-117. [PMID: 35082979 PMCID: PMC8764943 DOI: 10.5935/1984-0063.20200088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 12/08/2020] [Indexed: 12/05/2022] Open
Abstract
Introduction Sleep is essential for performing cognitive function in humans. We have hypothesized that sleep fragmentation compared to sleep efficiency may have a negative impact on the working memory. Material and Methods Twenty-eight healthy adults (18 males and 10 females; mean age 27.8±15.5 years) were enrolled in this study. We measured the total sleep time (TST), sleep efficiency, %stage wakefulness (W), %stage rapid eye movement (REM), %stage N1, %stage N2, %stage N3, wake after sleep onset (WASO), and arousal index using polysomnography. Working memory, executive function, and sustained attention of three domains of cognitive function were evaluated with the number of back task (N-back task), Wisconsin card sorting test (WCST), and continuous performance test-identical pairs (CPT-IP), respectively. Results The percentage of correct answers on the 2-back task was significantly correlated with %stage REM, %stage N1, and %stage N2 (%stage REM: r=0.505, p=0.006; %stage N1: r=-0.637, p<0.001; %stage N2: r=0.670, p<0.001), and multiple regression analysis including the stepwise forward selection method revealed that %stage N2 was the most significant factor (%stage N2: β=0.670, p<0.001). The percentage of correct answers on the 2-back task was also significantly correlated with TST, sleep efficiency, WASO, and arousal index (TST: r=0.492, p=0.008; sleep efficiency: r=0.622, p<0.001; WASO: r=-0.721, p<0.001; arousal index: r=-0.656, p<0.001), and WASO was the significant factor (β=-2.086, p=0.007). The WCST category achievement and CPT-IP d-prime score were correlated with none of the sleep variables. Conclusion Increased WASO and a decrease in %stage N2 were associated with worse working memory.
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Affiliation(s)
- Masato Okuda
- Chubu University Graduate School of Life and Health Sciences, Department of Biomedical Sciences - Kasugai - Aichi - Japan
| | - Akiko Noda
- Chubu University Graduate School of Life and Health Sciences, Department of Biomedical Sciences - Kasugai - Aichi - Japan
| | - Sho Mabuchi
- Chubu University Collage of Life and Health Sciences, Department of Biomedical Sciences -Kasugai - Aichi- Japan
| | - Kunihiro Iwamoto
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan
| | - Masahiro Banno
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan.,Seichiryo Hospital, Department of Psychiatry - Nagoya - Aichi - Japan
| | - Seiko Miyata
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan
| | - Fumihiko Yasuma
- National Hospital Organization Suzuka Hospital, Department of Internal Medicine - Suzuka - Mie -Japan
| | - Norio Ozaki
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan
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9
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Kawai M, Schneider LD, Linkovski O, Jordan JT, Karna R, Pirog S, Cotto I, Buck C, Giardino WJ, O'Hara R. High-Resolution Spectral Sleep Analysis Reveals a Novel Association Between Slow Oscillations and Memory Retention in Elderly Adults. Front Aging Neurosci 2021; 12:540424. [PMID: 33505299 PMCID: PMC7829345 DOI: 10.3389/fnagi.2020.540424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 12/08/2020] [Indexed: 11/17/2022] Open
Abstract
Objective: In recognition of the mixed associations between traditionally scored slow wave sleep and memory, we sought to explore the relationships between slow wave sleep, electroencephalographic (EEG) power spectra during sleep and overnight verbal memory retention in older adults. Design, Setting, Participants, and Measurements: Participants were 101 adults without dementia (52% female, mean age 70.3 years). Delayed verbal memory was first tested in the evening prior to overnight polysomnography (PSG). The following morning, subjects were asked to recall as many items as possible from the same List (overnight memory retention; OMR). Partial correlation analyses examined the associations of delayed verbal memory and OMR with slow wave sleep (SWS) and two physiologic EEG slow wave activity (SWA) power spectral bands (0.5-1 Hz slow oscillations vs. 1-4 Hz delta activity). Results: In subjects displaying SWS, SWS was associated with enhanced delayed verbal memory, but not with OMR. Interestingly, among participants that did not show SWS, OMR was significantly associated with a higher slow oscillation relative power, during NREM sleep in the first ultradian cycle, with medium effect size. Conclusions: These findings suggest a complex relationship between SWS and memory and illustrate that even in the absence of scorable SWS, older adults demonstrate substantial slow wave activity. Further, these slow oscillations (0.5-1 Hz), in the first ultradian cycle, are positively associated with OMR, but only in those without SWS. Our findings raise the possibility that precise features of slow wave activity play key roles in maintaining memory function in healthy aging. Further, our results underscore that conventional methods of sleep evaluation may not be sufficiently sensitive to detect associations between SWA and memory in older adults.
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Affiliation(s)
- Makoto Kawai
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
- Sierra Pacific Mental Illness Research Education and Clinical Centers (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, United States
| | - Logan D. Schneider
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
- Sierra Pacific Mental Illness Research Education and Clinical Centers (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, United States
| | - Omer Linkovski
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
- Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel
| | - Josh T. Jordan
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
- Department of Psychology, Dominican University of California, San Rafael, CA, United States
| | - Rosy Karna
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Sophia Pirog
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Isabelle Cotto
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Casey Buck
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - William J. Giardino
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Ruth O'Hara
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
- Sierra Pacific Mental Illness Research Education and Clinical Centers (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, United States
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10
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Sleep-related memory consolidation in the psychosis spectrum phenotype. Neurobiol Learn Mem 2020; 174:107273. [PMID: 32659349 DOI: 10.1016/j.nlm.2020.107273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/19/2020] [Accepted: 07/03/2020] [Indexed: 11/23/2022]
Abstract
Sleep and memory processing impairments range from mild to severe in the psychosis spectrum. Relationships between memory processing and sleep characteristics have been described for schizophrenia, including unaffected first-degree relatives, but they are less clear across other high-risk groups within the psychosis spectrum. In this study, we investigated high-risk individuals with accumulated risk-factors for psychosis and subthreshold symptoms. Out of 1898 screened individuals, 44 age- and sex-matched participants were sub-grouped into those with substantial environmental risk factors for psychosis and subthreshold psychotic symptoms (high-risk group) and those without these phenotypes (low-risk controls). Four groups (high/low risk, morning/evening training) were trained and tested in the laboratory for sustained attention, motor skill memory (finger-tapping task) and declarative memory (word-pair learning task) immediately after training, again after a night of EEG-recorded sleep at home or a period of daytime wakefulness, and again after 24 h from training. No differences in sustained attention or in memory consolidation of declarative and motor skill memory were found between groups for any time period tested. However, a group difference was found for rapid-eye movement (REM) sleep in relation to motor skill memory: the longer the total sleep time, particularly longer REM sleep, the greater the performance gain, which occurred only in high-risk individuals. In conclusion, our results suggest a gain in motor skill performance with sufficient sleep opportunity for longer REM sleep in high-risk individuals with subthreshold psychotic symptoms. Declarative memory did not benefit from sleep consolidation above or beyond that of the control group.
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11
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Biggs QM, Ursano RJ, Wang J, Wynn GH, Carr RB, Fullerton CS. Post traumatic stress symptom variation associated with sleep characteristics. BMC Psychiatry 2020; 20:174. [PMID: 32299397 PMCID: PMC7164146 DOI: 10.1186/s12888-020-02550-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 03/17/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Post traumatic stress disorder (PTSD) and sleep problems are highly related. The relationship between nighttime sleep characteristics and next day post traumatic stress symptoms (PTSS) is not well known. This study examined the relationship between the previous night's sleep duration, number of awakenings, sleep quality, trouble falling asleep, and difficulty staying asleep and PTSS the following day. METHODS Using an ecological momentary assessment methodology, individuals with probable PTSD (N = 61) reported their nighttime sleep characteristics daily and PTSS four times per day for 15 days. Univariate and multivariate linear mixed models were used to examine the previous night's (within-subjects) and person's mean (between-subjects) associations between sleep characteristics and PTSS. RESULTS The previous night's sleep duration (p < .001), sleep quality (p < .001), trouble falling asleep (p < .001), and difficulty staying asleep (p < .001) significantly predicted the next day's PTSS. When examined in a multivariate model including all characteristics simultaneously, previous night's sleep duration (p = .024), trouble falling asleep (p = .019), and difficulty staying asleep (p < .001) continued to predict PTSS, but sleep quality (p = .667) did not. When considering a person's mean, trouble falling asleep (p = .006) and difficulty staying asleep (p = .001) predicted PTSS, but only difficulty staying asleep (p = .018) predicted PTSS in a multivariate model. CONCLUSIONS Among individuals with PTSD, the previous night's sleep duration, trouble falling asleep, and difficulty staying asleep predict next day PTSD symptoms. Interventions that facilitate falling and staying asleep and increase time slept may be important for treating PTSD.
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Affiliation(s)
- Quinn M. Biggs
- Center for the Study of Traumatic Stress (CSTS), Department of Psychiatry, Uniformed Services University of the Health Sciences (USUHS), 4301 Jones Bridge Road, Bethesda, MD 20814 USA
| | - Robert J. Ursano
- Center for the Study of Traumatic Stress (CSTS), Department of Psychiatry, Uniformed Services University of the Health Sciences (USUHS), 4301 Jones Bridge Road, Bethesda, MD 20814 USA
| | - Jing Wang
- Center for the Study of Traumatic Stress (CSTS), Department of Psychiatry, Uniformed Services University of the Health Sciences (USUHS), 4301 Jones Bridge Road, Bethesda, MD 20814 USA
| | - Gary H. Wynn
- Center for the Study of Traumatic Stress (CSTS), Department of Psychiatry, Uniformed Services University of the Health Sciences (USUHS), 4301 Jones Bridge Road, Bethesda, MD 20814 USA
| | - Russell B. Carr
- Center for the Study of Traumatic Stress (CSTS), Department of Psychiatry, Uniformed Services University of the Health Sciences (USUHS), 4301 Jones Bridge Road, Bethesda, MD 20814 USA
- Walter Reed National Military Medical Center (WRNMMC), Bethesda, MD USA
| | - Carol S. Fullerton
- Center for the Study of Traumatic Stress (CSTS), Department of Psychiatry, Uniformed Services University of the Health Sciences (USUHS), 4301 Jones Bridge Road, Bethesda, MD 20814 USA
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12
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Breen MS, Thomas KGF, Baldwin DS, Lipinska G. Modelling PTSD diagnosis using sleep, memory, and adrenergic metabolites: An exploratory machine-learning study. Hum Psychopharmacol 2019; 34:e2691. [PMID: 30793802 DOI: 10.1002/hup.2691] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 12/10/2018] [Accepted: 12/20/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Features of posttraumatic stress disorder (PTSD) typically include sleep disturbances, impaired declarative memory, and hyperarousal. This study evaluated whether these combined features may accurately delineate pathophysiological changes associated with PTSD. METHOD We recruited a cohort of PTSD-diagnosed individuals (N = 20), trauma survivors without PTSD (TE; N = 20), and healthy controls (HC; N = 20). Analyses of between-group differences and support vector machine (SVM)-learning were applied to participant features. RESULTS Analyses of between-group differences replicated previous findings, indicating that PTSD-diagnosed individuals self-reported poorer sleep quality, objectively demonstrated less sleep depth, and evidenced declarative memory deficits in comparison to HC. Integrative SVM-learning distinguished HC from trauma participants with 80% accuracy using a combination of five features, including subjective and objective sleep, neutral declarative memory, and metabolite variables. PTSD and TE participants could be distinguished with 70% accuracy using a combination of subjective and objective sleep variables but not by metabolite or declarative memory variables. CONCLUSION From among a broad range of sleep, cognitive, and biochemical variables, sleep characteristics were the primary features that could differentiate those with PTSD from those without. Our exploratory SVM-learning analysis establishes a framework for future sleep- and memory-based PTSD investigations that could drive improvements in diagnostic accuracy and treatment.
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Affiliation(s)
- Michael S Breen
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kevin G F Thomas
- Department of Psychology, University of Cape Town, Cape Town, South Africa
| | - David S Baldwin
- Clinical and Experimental Sciences, University of Southampton, Southampton, UK.,Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Gosia Lipinska
- Department of Psychology, University of Cape Town, Cape Town, South Africa
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13
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Abstract
A hallmark feature of episodic memory is that of "mental time travel," whereby an individual feels they have returned to a prior moment in time. Cognitive and behavioral neuroscience methods have revealed a neurobiological counterpart: Successful retrieval often is associated with reactivation of a prior brain state. We review the emerging literature on memory reactivation and recapitulation, and we describe evidence for the effects of emotion on these processes. Based on this review, we propose a new model: Negative Emotional Valence Enhances Recapitulation (NEVER). This model diverges from existing models of emotional memory in three key ways. First, it underscores the effects of emotion during retrieval. Second, it stresses the importance of sensory processing to emotional memory. Third, it emphasizes how emotional valence - whether an event is negative or positive - affects the way that information is remembered. The model specifically proposes that, as compared to positive events, negative events both trigger increased encoding of sensory detail and elicit a closer resemblance between the sensory encoding signature and the sensory retrieval signature. The model also proposes that negative valence enhances the reactivation and storage of sensory details over offline periods, leading to a greater divergence between the sensory recapitulation of negative and positive memories over time. Importantly, the model proposes that these valence-based differences occur even when events are equated for arousal, thus rendering an exclusively arousal-based theory of emotional memory insufficient. We conclude by discussing implications of the model and suggesting directions for future research to test the tenets of the model.
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14
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Rau HK, Hendrickson RC, Roggenkamp HC, Peterson S, Parmenter B, Cook DG, Peskind E, Pagulayan KF. Fatigue – but not mTBI history, PTSD, or sleep quality – directly contributes to reduced prospective memory performance in Iraq and Afghanistan era Veterans. Clin Neuropsychol 2017; 32:1319-1336. [DOI: 10.1080/13854046.2017.1381277] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Holly K. Rau
- Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, USA
| | - Rebecca C. Hendrickson
- Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Hannah C. Roggenkamp
- Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Sarah Peterson
- Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, USA
| | - Brett Parmenter
- Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David G. Cook
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
- Department of Pharmacology, University of Washington School of Medicine, Seattle, WA, USA
- Geriatric Research, Education, and Clinical Center (GRECC), Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - Elaine Peskind
- Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kathleen F. Pagulayan
- Veterans Affairs (VA) Northwest Network (VISN 20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound Health Care System, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
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15
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Abstract
Scientific investigation into the possible role of sleep in memory consolidation began with the early studies of Jenkins and Dallenbach (1924). Despite nearly a century of investigation with a waxing and waning of interest, the role of sleep in memory processing remains controversial and elusive. This review provides the historical background for current views and considers the relative contribution of two sleep states, rapid eye movement sleep and slow-wave sleep, to offline memory processing. The sequential hypothesis, until now largely ignored, is discussed, and recent literature supporting this view is reviewed.
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16
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Abstract
INTRODUCTION Sleep and lifestyles interact to allow the appropriate development of cerebral structures, and prevention of mood disorders. But just a hand of articles identified a precise relationship between these two above, and the probability to develop a suicidal behaviour. OBJECTIVE The aim of this study is to explore how the suicidal behaviour is associated in simultaneous with sleep components, psychological stress, depression, anxiety, well-being, addiction, and global health of participants; and if it is also influenced by the sociodemographic profile of each subject. METHODS The present study was led by a questionnaire incorporating McNair test, and an incorporated score to evaluate suicide tendencies. The questionnaire also included socio-demographic items and other questions to exhibit a profile of suicide tendency for each individual. RESULTS Our results showed that the stress levels and well-being are comparable according to gender. Specifically the results showed that lack of sleep combined with a low score to McNair test strongly affects the suicidal tendency, while score of memory and attention decreased. CONCLUSIONS The suicidal behaviour is closely linked with sleep parameters which decreased accordingly, and the family's history of medication and suicidal behaviour.
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Affiliation(s)
- Faustin Armel Etindele Sosso
- Research Centre in Neuropsychology and Cognition, Quebec, Canada.,Department of Biological Sciences, University of Montreal, Quebec, Canada
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17
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Chen L, Guo L, Bao M. Sleep-dependent consolidation benefits fast transfer of time interval training. Exp Brain Res 2016; 235:661-672. [DOI: 10.1007/s00221-016-4832-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2016] [Accepted: 11/10/2016] [Indexed: 11/30/2022]
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