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Ambroa-Conde A, Casares de Cal MA, Gómez-Tato A, Robinson O, Mosquera-Miguel A, de la Puente M, Ruiz-Ramírez J, Phillips C, Lareu MV, Freire-Aradas A. Inference of tobacco and alcohol consumption habits from DNA methylation analysis of blood. Forensic Sci Int Genet 2024; 70:103022. [PMID: 38309257 DOI: 10.1016/j.fsigen.2024.103022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/22/2023] [Accepted: 01/25/2024] [Indexed: 02/05/2024]
Abstract
DNA methylation has become a biomarker of great interest in the forensic and clinical fields. In criminal investigations, the study of this epigenetic marker has allowed the development of DNA intelligence tools providing information that can be useful for investigators, such as age prediction. Following a similar trend, when the origin of a sample in a criminal scenario is unknown, the inference of an individual's lifestyle such as tobacco use and alcohol consumption could provide relevant information to help in the identification of DNA donors at the crime scene. At the same time, in the clinical domain, prediction of these trends of consumption could allow the identification of people at risk or better identification of the causes of different pathologies. In the present study, DNA methylation data from the UK AIRWAVE study was used to build two binomial logistic models for the inference of smoking and drinking status. A total of 348 individuals (116 non-smokers, 116 former smokers and 116 smokers) plus a total of 237 individuals (79 non-drinkers, 79 moderate drinkers and 79 drinkers) were used for development of tobacco and alcohol consumption prediction models, respectively. The tobacco prediction model was composed of two CpGs (cg05575921 in AHRR and cg01940273) and the alcohol prediction model three CpGs (cg06690548 in SLC7A11, cg0886875 and cg21294714 in MIR4435-2HG), providing correct classifications of 86.49% and 74.26%, respectively. Validation of the models was performed using leave-one-out cross-validation. Additionally, two independent testing sets were also assessed for tobacco and alcohol consumption. Considering that the consumption of these substances could underlie accelerated epigenetic ageing patterns, the effect of these lifestyles on the prediction of age was evaluated. To do that, a quantile regression model based on previous studies was generated, and the potential effect of tobacco and alcohol consumption with the epigenetic age was assessed. The Wilcoxon test was used to evaluate the residuals generated by the model and no significant differences were observed between the categories analyzed.
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Affiliation(s)
- A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - M A Casares de Cal
- CITMAga (Center for Mathematical Research and Technology of Galicia), University of Santiago de Compostela, Spain
| | - A Gómez-Tato
- CITMAga (Center for Mathematical Research and Technology of Galicia), University of Santiago de Compostela, Spain
| | - O Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - J Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain.
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2
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Ronat L, Hanganu A, Chylinski D, Van Egroo M, Narbutas J, Besson G, Muto V, Schmidt C, Bahri MA, Phillips C, Salmon E, Maquet P, Vandewalle G, Collette F, Bastin C. Prediction of cognitive decline in healthy aging based on neuropsychiatric symptoms and PET-biomarkers of Alzheimer's disease. J Neurol 2024; 271:2067-2077. [PMID: 38114820 DOI: 10.1007/s00415-023-12131-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/21/2023]
Abstract
Neuropsychiatric symptoms (NPS) have been associated with a risk of accelerated cognitive decline or conversion to dementia of the Alzheimer's Disease (AD) type. Moreover, the NPS were also associated with higher AD biomarkers (brain tau and amyloid burden) even in non-demented patients. But the effect of the relationship between NPS and biomarkers on cognitive decline has not yet been studied. This work aims to assess the relationship between longitudinal cognitive changes and NPS, specifically depression and anxiety, in association with AD biomarkers in healthy middle-aged to older participants. The cohort consisted of 101 healthy participants aged 50-70 years, 66 of whom had neuropsychological assessments of memory, executive functions, and global cognition at a 2-year follow-up. At baseline, NPS were assessed using the Beck Depression and Anxiety Inventories while brain tau and amyloid loads were measured using positron emission topography. For tau burden, THK5351 uptake is used as a proxy of tau and neuroinflammation. Participants, declining or remaining stable at follow-up, were categorized into groups for each cognitive domain. Group classification was investigated using binary logistic regressions based on combined AD biomarkers and the two NPS. The results showed that an association between anxiety and prefrontal amyloid burden significantly classified episodic memory decline, while the classification of global cognitive decline involved temporal and occipital amyloid burden but not NPS. Moreover, depression together with prefrontal and hippocampal tau burden were associated with a decline in memory. The classification of participants based on executive decline was related to depression and mainly prefrontal tau burden. These findings suggest that the combination of NPS and brain biomarkers of AD predicts the occurrence of cognitive decline in aging.
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Affiliation(s)
- Lucas Ronat
- Faculty of Medicine, Department of Medicine, University of Montreal, Montreal, QC, Canada
- Research Centre, University Institute of Geriatrics of Montreal, CIUSSS du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Alexandru Hanganu
- Research Centre, University Institute of Geriatrics of Montreal, CIUSSS du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada
- Faculty of Arts and Sciences, Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Daphné Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
| | - Gabriel Besson
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Christina Schmidt
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
- Department of Neurology, CHU Liege, 4000, Liege, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Department of Neurology, CHU Liege, 4000, Liege, Belgium
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- F.R.S.-Fonds National de la Recherche Scientifique, Brussels, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium
- F.R.S.-Fonds National de la Recherche Scientifique, Brussels, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium.
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liege, 4000, Liege, Belgium.
- F.R.S.-Fonds National de la Recherche Scientifique, Brussels, Belgium.
- Bât. B30 GIGA CRC In Vivo Imaging - Aging and Memory, Quartier Agora, Allée du 6 Août 8, 4000, Liege, Belgium.
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3
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Talwar P, Deantoni M, Van Egroo M, Muto V, Chylinski D, Koshmanova E, Jaspar M, Meyer C, Degueldre C, Berthomier C, Luxen A, Salmon E, Collette F, Dijk DJ, Schmidt C, Phillips C, Maquet P, Sherif S, Vandewalle G. Author Correction: In vivo marker of brainstem myelin is associated to quantitative sleep parameters in healthy young men. Sci Rep 2024; 14:6124. [PMID: 38480866 PMCID: PMC10937964 DOI: 10.1038/s41598-024-56474-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024] Open
Affiliation(s)
- Puneet Talwar
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Michele Deantoni
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Vincenzo Muto
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Mathieu Jaspar
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | - Christelle Meyer
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | - Christian Degueldre
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | | | - André Luxen
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Eric Salmon
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
- Department of Neurology, CHU of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - D-J Dijk
- Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, University of Surrey, Guildford, UK
| | - Christina Schmidt
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- In Silico Medicine Unit, GIGA-Institute, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
- Department of Neurology, CHU of Liège, Liège, Belgium
| | - Siya Sherif
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium.
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Cecconi B, Montupil J, Mortaheb S, Panda R, Sanders RD, Phillips C, Alnagger N, Remacle E, Defresne A, Boly M, Bahri MA, Lamalle L, Laureys S, Gosseries O, Bonhomme V, Annen J. Study protocol: Cerebral characterization of sensory gating in disconnected dreaming states during propofol anesthesia using fMRI. Front Neurosci 2024; 18:1306344. [PMID: 38419667 PMCID: PMC10900985 DOI: 10.3389/fnins.2024.1306344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Background Disconnected consciousness describes a state in which subjective experience (i.e., consciousness) becomes isolated from the external world. It appears frequently during sleep or sedation, when subjective experiences remain vivid but are unaffected by external stimuli. Traditional methods of differentiating connected and disconnected consciousness, such as relying on behavioral responsiveness or on post-anesthesia reports, have demonstrated limited accuracy: unresponsiveness has been shown to not necessarily equate to unconsciousness and amnesic effects of anesthesia and sleep can impair explicit recollection of events occurred during sleep/sedation. Due to these methodological challenges, our understanding of the neural mechanisms underlying sensory disconnection remains limited. Methods To overcome these methodological challenges, we employ a distinctive strategy by combining a serial awakening paradigm with auditory stimulation during mild propofol sedation. While under sedation, participants are systematically exposed to auditory stimuli and questioned about their subjective experience (to assess consciousness) and their awareness of the sounds (to evaluate connectedness/disconnectedness from the environment). The data collected through interviews are used to categorize participants into connected and disconnected consciousness states. This method circumvents the requirement for responsiveness in assessing consciousness and mitigates amnesic effects of anesthesia as participants are questioned while still under sedation. Functional MRI data are concurrently collected to investigate cerebral activity patterns during connected and disconnected states, to elucidate sensory disconnection neural gating mechanisms. We examine whether this gating mechanism resides at the thalamic level or results from disruptions in information propagation to higher cortices. Furthermore, we explore the potential role of slow-wave activity (SWA) in inducing disconnected consciousness by quantifying high-frequency BOLD oscillations, a known correlate of slow-wave activity. Discussion This study represents a notable advancement in the investigation of sensory disconnection. The serial awakening paradigm effectively mitigates amnesic effects by collecting reports immediately after regaining responsiveness, while still under sedation. Ultimately, this research holds the potential to understand how sensory gating is achieved at the neural level. These biomarkers might be relevant for the development of sensitive anesthesia monitoring to avoid intraoperative connected consciousness and for the assessment of patients suffering from pathologically reduced consciousness. Clinical trial registration European Union Drug Regulating Authorities Clinical Trials Database (EudraCT), identifier 2020-003524-17.
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Affiliation(s)
- Benedetta Cecconi
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Javier Montupil
- Anesthesia and Perioperative Neuroscience Laboratory, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- University Department of Anesthesia and Intensive Care Medicine, Centre Hospitalier Régional de la Citadelle (CHR Citadelle), Liège, Belgium
| | - Sepehr Mortaheb
- Physiology of Cognition Research Lab, GIGA-Consciousness, GIGA Institute, University of Liège, Liege, Belgium
| | - Rajanikant Panda
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Robert D. Sanders
- Central Clinical School, Sydney Medical School & NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia
- Department of Anaesthetics & Institute of Academic Surgery, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Christophe Phillips
- GIGA-CRC—In vivo Imaging—Neuroimaging, Data Acquisition and Processing, GIGA Institute, University of Liège, Liège, Belgium
| | - Naji Alnagger
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Emma Remacle
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
| | - Aline Defresne
- Anesthesia and Perioperative Neuroscience Laboratory, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- University Department of Anesthesia and Intensive Care Medicine, Centre Hospitalier Régional de la Citadelle (CHR Citadelle), Liège, Belgium
- Department of Anesthesia and Intensive Care Medicine, Liège University Hospital, Liège, Belgium
| | - Melanie Boly
- Department of Psychiatry, Wisconsin Institute for Sleep and Consciousness, University of Wisconsin, Madison, WI, United States
| | - Mohamed Ali Bahri
- GIGA-CRC—In vivo Imaging—Aging & Memory, GIGA Institute, University of Liège, Liège, Belgium
| | - Laurent Lamalle
- GIGA-CRC—In vivo Imaging—Aging & Memory, GIGA Institute, University of Liège, Liège, Belgium
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
- Cervo Brain Research Centre, University Institute in Mental Health of Quebec, Québec, QC, Canada
- Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
| | - Olivia Gosseries
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Vincent Bonhomme
- Anesthesia and Perioperative Neuroscience Laboratory, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- Department of Anesthesia and Intensive Care Medicine, Liège University Hospital, Liège, Belgium
| | - Jitka Annen
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
- Department of Data Analysis, University of Ghent, Ghent, Belgium
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5
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Poldrack RA, Markiewicz CJ, Appelhoff S, Ashar YK, Auer T, Baillet S, Bansal S, Beltrachini L, Benar CG, Bertazzoli G, Bhogawar S, Blair RW, Bortoletto M, Boudreau M, Brooks TL, Calhoun VD, Castelli FM, Clement P, Cohen AL, Cohen-Adad J, D'Ambrosio S, de Hollander G, de la Iglesia-Vayá M, de la Vega A, Delorme A, Devinsky O, Draschkow D, Duff EP, DuPre E, Earl E, Esteban O, Feingold FW, Flandin G, Galassi A, Gallitto G, Ganz M, Gau R, Gholam J, Ghosh SS, Giacomel A, Gillman AG, Gleeson P, Gramfort A, Guay S, Guidali G, Halchenko YO, Handwerker DA, Hardcastle N, Herholz P, Hermes D, Honey CJ, Innis RB, Ioanas HI, Jahn A, Karakuzu A, Keator DB, Kiar G, Kincses B, Laird AR, Lau JC, Lazari A, Legarreta JH, Li A, Li X, Love BC, Lu H, Marcantoni E, Maumet C, Mazzamuto G, Meisler SL, Mikkelsen M, Mutsaerts H, Nichols TE, Nikolaidis A, Nilsonne G, Niso G, Norgaard M, Okell TW, Oostenveld R, Ort E, Park PJ, Pawlik M, Pernet CR, Pestilli F, Petr J, Phillips C, Poline JB, Pollonini L, Raamana PR, Ritter P, Rizzo G, Robbins KA, Rockhill AP, Rogers C, Rokem A, Rorden C, Routier A, Saborit-Torres JM, Salo T, Schirner M, Smith RE, Spisak T, Sprenger J, Swann NC, Szinte M, Takerkart S, Thirion B, Thomas AG, Torabian S, Varoquaux G, Voytek B, Welzel J, Wilson M, Yarkoni T, Gorgolewski KJ. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). ArXiv 2024:arXiv:2309.05768v2. [PMID: 37744469 PMCID: PMC10516110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.
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Affiliation(s)
| | | | | | - Yoni K Ashar
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tibor Auer
- School of Psychology, University of Surrey, Guildford, UK
- Artificial Intelligence and Informatics group, Rosalind Franklin Institute, Harwell Campus, Didcot, UK
| | - Sylvain Baillet
- McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada
| | - Shashank Bansal
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Leandro Beltrachini
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Wales, UK
| | - Christian G Benar
- Aix Marseille Université, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Giacomo Bertazzoli
- Neurophysiology Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, TN, Italy
- Brigham and Women's Hospital, Boston, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | - Ross W Blair
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Marta Bortoletto
- Neurophysiology Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Teon L Brooks
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, USA
| | - Filippo Maria Castelli
- European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Sesto Fiorentino, Italy
- Bioretics srl, Cesena, Italy
| | - Patricia Clement
- Department of Medical Imaging, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Alexander L Cohen
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | | | - Sasha D'Ambrosio
- Dipartimento di Scienze della Salute dell'Università degli Studi di Milano, Milan, Italy
- Department of Clinical and Experimental Epilepsy, University College London, UK
| | - Gilles de Hollander
- Zurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland
| | | | | | - Arnaud Delorme
- SCCN, University of California, San Diego, La Jolla CA USA
| | - Orrin Devinsky
- Department of Neurology, NYU Langone Medical Center, New York, NY, USA
| | - Dejan Draschkow
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Eugene Paul Duff
- UK Dementia Research Institute, Department of Brain Sciences, Imperial College London, London, UK
| | - Elizabeth DuPre
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Eric Earl
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Oscar Esteban
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | | | - Guillaume Flandin
- Wellcome Centre for Human Neuroimaging, University College London, London, England, UK
| | - Anthony Galassi
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Giuseppe Gallitto
- Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, Essen, Germany
- Department of Neurology, University Medicine Essen, Essen, Germany
| | - Melanie Ganz
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Rémi Gau
- Origamin Lab, The Neuro, McGill University, Montreal, Quebec, Canada
| | - James Gholam
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Wales, UK
| | | | - Alessio Giacomel
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England, UK
| | - Ashley G Gillman
- The Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Townsville, Queensland, Australia
| | - Padraig Gleeson
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, England, UK
| | | | - Samuel Guay
- Université de Montréal, Montréal, QC, Canada
| | - Giacomo Guidali
- Department of Psychology & NeuroMI - Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Yaroslav O Halchenko
- Center for Open Neuroscience, Department of Psychological and Brain Sciences, Dartmouth College, NH, USA
| | - Daniel A Handwerker
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Nell Hardcastle
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Peer Herholz
- McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada
| | - Dora Hermes
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Christopher J Honey
- Department of Psychological & Brain Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Robert B Innis
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Horea-Ioan Ioanas
- Center for Open Neuroscience, Department of Psychological and Brain Sciences, Dartmouth College, NH, USA
| | - Andrew Jahn
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, USA
| | - Agah Karakuzu
- NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada
| | - David B Keator
- Change Your Brain Change Your Life Foundation, Costa Mesa, CA, USA
- Amen Clinics, Costa Mesa, CA, USA
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA
| | - Gregory Kiar
- Center for Data Analytics, Innovation, and Rigor, Child Mind Institute, New York, NY USA
| | - Balint Kincses
- Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, Essen, Germany
- Department of Neurology, University Medicine Essen, Essen, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Jonathan C Lau
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Alberto Lazari
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jon Haitz Legarreta
- Department of Radiology, Brigham and Women's Hospital, Mass General Brigham/Harvard Medical School, Boston, MA, USA
| | - Adam Li
- Columbia University, New York, NY, USA
| | - Xiangrui Li
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | | | - Hanzhang Lu
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eleonora Marcantoni
- School for Psychology and Neuroscience and Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow
| | - Camille Maumet
- Inria, Univ Rennes, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
| | - Giacomo Mazzamuto
- National Research Council - National Institute of Optics (CNR-INO), Florence, Italy
| | - Steven L Meisler
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, USA
| | - Mark Mikkelsen
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Henk Mutsaerts
- Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Thomas E Nichols
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Aki Nikolaidis
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
| | - Gustav Nilsonne
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Swedish National Data Service, Gothenburg University, Gothenburg, Sweden
| | | | - Martin Norgaard
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Thomas W Okell
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Robert Oostenveld
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
- NatMEG, Karolinska Institutet, Stockholm, Sweden
| | - Eduard Ort
- Heinrich Heine University, Department of Biological Psychology of Decision Making, Düsseldorf, Germany
| | | | - Mateusz Pawlik
- Paris-Lodron-University of Salzburg, Department of Psychology, Centre for Cognitive Neuroscience, Salzburg, Austria
| | - Cyril R Pernet
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Jan Petr
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | | | - Jean-Baptiste Poline
- Neuro Data Science ORIGAMI Laboratory, McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montréal, Canada
| | - Luca Pollonini
- Department of Engineering Technology, University of Houston, Houston, TX
- Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain
| | | | - Petra Ritter
- Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin 10117, Germany
- Department of Neurology with Experimental Neurology, Charité, Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, Berlin 10117, Germany
- Bernstein Focus State Dependencies of Learning and Bernstein Center for Computational Neuroscience, Berlin, Germany
- Einstein Center for Neuroscience Berlin, Charitéplatz 1, Berlin 10117, Germany
- Einstein Center Digital Future, Wilhelmstraße 67, Berlin 10117, Germany
| | - Gaia Rizzo
- Invicro, London, UK
- Division of Brain Sciences, Imperial College London, London, UK
| | - Kay A Robbins
- Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA
| | - Alexander P Rockhill
- Department of Neurosurgery, Oregon Health & Science University, Portland, OR, USA
| | - Christine Rogers
- McGill Centre for Integrative Neuroscience (MCIN), Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Ariel Rokem
- University of Washington, Department of Psychology and eScience Institute, Seattle, WA, USA
| | - Chris Rorden
- University of South Carolina, Department of Psychology, Columbia, SC, USA
| | | | | | - Taylor Salo
- Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Schirner
- Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin 10117, Germany
- Department of Neurology with Experimental Neurology, Charité, Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitéplatz 1, Berlin 10117, Germany
- Bernstein Focus State Dependencies of Learning and Bernstein Center for Computational Neuroscience, Berlin, Germany
- Einstein Center for Neuroscience Berlin, Charitéplatz 1, Berlin 10117, Germany
- Einstein Center Digital Future, Wilhelmstraße 67, Berlin 10117, Germany
| | - Robert E Smith
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
- The Florey Department of Neuroscience and Mental Heath, The University of Melbourne, Parkville, Victoria, Australia
| | - Tamas Spisak
- Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, Essen, Germany
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Medicine Essen, Essen, Germany
| | - Julia Sprenger
- Institut de Neurosciences de la Timone (INT), UMR7289, CNRS, Aix-Marseille Université, France
| | - Nicole C Swann
- University of Oregon, Department of Human Physiology, Eugene, OR, USA
| | - Martin Szinte
- Institut de Neurosciences de la Timone (INT), UMR7289, CNRS, Aix-Marseille Université, France
| | - Sylvain Takerkart
- Institut de Neurosciences de la Timone (INT), UMR7289, CNRS, Aix-Marseille Université, France
| | | | - Adam G Thomas
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | | | | | - Bradley Voytek
- Department of Cognitive Science, Halıcıoğlu Data Science Institute, and Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA, USA
| | | | - Martin Wilson
- University of Birmingham, Centre for Human Brain Health and School of Psychology, Birmingham, UK
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Moallemian S, Salmon E, Bahri MA, Beliy N, Delhaye E, Balteau E, Degueldre C, Phillips C, Bastin C. Multimodal imaging of microstructural cerebral alterations and loss of synaptic density in Alzheimer's disease. Neurobiol Aging 2023; 132:24-35. [PMID: 37717552 DOI: 10.1016/j.neurobiolaging.2023.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/01/2023] [Accepted: 08/05/2023] [Indexed: 09/19/2023]
Abstract
Multiple neuropathological events are involved in Alzheimer's disease (AD). The current study investigated the concurrence of neurodegeneration, increased iron content, atrophy, and demyelination in AD. Quantitative multiparameter magnetic resonance imaging (MRI) maps providing neuroimaging biomarkers for myelination and iron content along with synaptic density measurements using [18F] UCB-H PET were acquired in 24 AD and 19 Healthy controls (19 males). The whole brain voxel-wise group comparison revealed demyelination in the right hippocampus, while no significant iron content difference was detected. Bilateral atrophy and synaptic density loss were observed in the hippocampus and amygdala. The multivariate GLM (mGLM) analysis shows a bilateral difference in the hippocampus and amygdala, right pallidum, left fusiform and temporal lobe suggesting that these regions are the most affected despite the diverse differences in brain tissue properties in AD. Demyelination was identified as the most affecting factor in the observed differences. Here, the mGLM is introduced as an alternative for multiple comparisons between different modalities, reducing the risk of false positives while informing about the co-occurrence of neuropathological processes in AD.
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Affiliation(s)
- Soodeh Moallemian
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Nikita Beliy
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Emma Delhaye
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Evelyne Balteau
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Christian Degueldre
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
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7
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Talwar P, Deantoni M, Van Egroo M, Muto V, Chylinski D, Koshmanova E, Jaspar M, Meyer C, Degueldre C, Berthomier C, Luxen A, Salmon E, Collette F, Dijk DJ, Schmidt C, Phillips C, Maquet P, Sherif S, Vandewalle G. In vivo marker of brainstem myelin is associated to quantitative sleep parameters in healthy young men. Sci Rep 2023; 13:20873. [PMID: 38012207 PMCID: PMC10682495 DOI: 10.1038/s41598-023-47753-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/17/2023] [Indexed: 11/29/2023] Open
Abstract
The regional integrity of brain subcortical structures has been implicated in sleep-wake regulation, however, their associations with sleep parameters remain largely unexplored. Here, we assessed association between quantitative Magnetic Resonance Imaging (qMRI)-derived marker of the myelin content of the brainstem and the variability in the sleep electrophysiology in a large sample of 18-to-31 years healthy young men (N = 321; ~ 22 years). Separate Generalized Additive Model for Location, Scale and Shape (GAMLSS) revealed that sleep onset latency and slow wave energy were significantly associated with MTsat estimates in the brainstem (pcorrected ≤ 0.03), with overall higher MTsat value associated with values reflecting better sleep quality. The association changed with age, however (MTsat-by-age interaction-pcorrected ≤ 0.03), with higher MTsat value linked to better values in the two sleep metrics in the younger individuals of our sample aged ~ 18 to 20 years. Similar associations were detected across different parts of the brainstem (pcorrected ≤ 0.03), suggesting that the overall maturation and integrity of the brainstem was associated with both sleep metrics. Our results suggest that myelination of the brainstem nuclei essential to regulation of sleep is associated with inter-individual differences in sleep characteristics during early adulthood. They may have implications for sleep disorders or neurological diseases related to myelin.
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Affiliation(s)
- Puneet Talwar
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Michele Deantoni
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Vincenzo Muto
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Mathieu Jaspar
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | - Christelle Meyer
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | - Christian Degueldre
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | | | - André Luxen
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Eric Salmon
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
- Department of Neurology, CHU of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - D-J Dijk
- Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, University of Surrey, Guildford, UK
| | - Christina Schmidt
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- In Silico Medicine Unit, GIGA-Institute, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
- Department of Neurology, CHU of Liège, Liège, Belgium
| | - Siya Sherif
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium.
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Casanova-Adán L, Mosquera-Miguel A, González-Bao J, Ambroa-Conde A, Ruiz-Ramírez J, Cabrejas-Olalla A, González-Martín E, Freire-Aradas A, Rodríguez-López A, Phillips C, Lareu MV, de la Puente M. Adapting an established Ampliseq microhaplotype panel to nanopore sequencing through direct PCR. Forensic Sci Int Genet 2023; 67:102937. [PMID: 37812882 DOI: 10.1016/j.fsigen.2023.102937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/21/2023] [Accepted: 09/27/2023] [Indexed: 10/11/2023]
Abstract
We have adapted an established Ampliseq microhaplotype panel for nanopore sequencing with the Oxford Nanopore Technologies (ONT) system, as a cost-effective and highly scalable solution for forensic genetics applications. For this purpose, we designed a protocol combining direct PCR amplification from unextracted DNA with ONT library construction and sequencing using the MinION device and workflow. The analysis of reference samples at input amounts of 5-10 ng of DNA demonstrates stable coverage patterns, allele balance, and strand bias, reaching profile completeness and concordance rates of ∼95%. Similar levels were achieved when using direct-PCR from blood, buccal and semen swabs. Dilution series results indicate sensitivity is maintained down to 250 pg of input DNA, and informative profiles are produced down to 62.5 pg. Finally, we demonstrated the forensic utility of the nanopore workflow by analyzing two third degree pedigrees that showed low likelihood ratio values after the analysis of an extended panel of 38 STRs, achieving likelihood ratios 2-3 orders of magnitude higher when testing with the MinION-based haplotype data.
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Affiliation(s)
- L Casanova-Adán
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - J González-Bao
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - J Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Cabrejas-Olalla
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - E González-Martín
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - A Rodríguez-López
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain.
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9
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Freire-Aradas A, Tomsia M, Piniewska-Róg D, Ambroa-Conde A, Casares de Cal MA, Pisarek A, Gómez-Tato A, Álvarez-Dios J, Pośpiech E, Parson W, Kayser M, Phillips C, Branicki W. Development of an epigenetic age predictor for costal cartilage with a simultaneous somatic tissue differentiation system. Forensic Sci Int Genet 2023; 67:102936. [PMID: 37783021 DOI: 10.1016/j.fsigen.2023.102936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/13/2023] [Accepted: 09/27/2023] [Indexed: 10/04/2023]
Abstract
Age prediction from DNA has been a topic of interest in recent years due to the promising results obtained when using epigenetic markers. Since DNA methylation gradually changes across the individual's lifetime, prediction models have been developed accordingly for age estimation. The tissue-dependence for this biomarker usually necessitates the development of tissue-specific age prediction models, in this way, multiple models for age inference have been constructed for the most commonly encountered forensic tissues (blood, oral mucosa, semen). The analysis of skeletal remains has also been attempted and prediction models for bone have now been reported. Recently, the VISAGE Enhanced Tool was developed for the simultaneous DNA methylation analysis of 8 age-correlated loci using targeted high-throughput sequencing. It has been shown that this method is compatible with epigenetic age estimation models for blood, buccal cells, and bone. Since when dealing with decomposed cadavers or postmortem samples, cartilage samples are also an important biological source, an age prediction model for cartilage has been generated in the present study based on methylation data collected using the VISAGE Enhanced Tool. In this way, we have developed a forensic cartilage age prediction model using a training set composed of 109 samples (19-74 age range) based on DNA methylation levels from three CpGs in FHL2, TRIM59 and KLF14, using multivariate quantile regression which provides a mean absolute error (MAE) of ± 4.41 years. An independent testing set composed of 72 samples (19-75 age range) was also analyzed and provided an MAE of ± 4.26 years. In addition, we demonstrate that the 8 VISAGE markers, comprising EDARADD, TRIM59, ELOVL2, MIR29B2CHG, PDE4C, ASPA, FHL2 and KLF14, can be used as tissue prediction markers which provide reliable blood, buccal cells, bone, and cartilage differentiation using a developed multinomial logistic regression model. A training set composed of 392 samples (n = 87 blood, n = 86 buccal cells, n = 110 bone and n = 109 cartilage) was used for building the model (correct classifications: 98.72%, sensitivity: 0.988, specificity: 0.996) and validation was performed using a testing set composed of 192 samples (n = 38 blood, n = 36 buccal cells, n = 46 bone and n = 72 cartilage) showing similar predictive success to the training set (correct classifications: 97.4%, sensitivity: 0.968, specificity: 0.991). By developing both a new cartilage age model and a tissue differentiation model, our study significantly expands the use of the VISAGE Enhanced Tool while increasing the amount of DNA methylation-based information obtained from a single sample and a single forensic laboratory analysis. Both models have been placed in the open-access Snipper forensic classification website.
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Affiliation(s)
- A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain.
| | - M Tomsia
- Department of Forensic Medicine and Forensic Toxicology, Medical University of Silesia, Katowice, Poland
| | - D Piniewska-Róg
- Department of Forensic Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - M A Casares de Cal
- CITMAga (Center for Mathematical Research and Technology of Galicia), University of Santiago de Compostela, Spain
| | - A Pisarek
- Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland
| | - A Gómez-Tato
- CITMAga (Center for Mathematical Research and Technology of Galicia), University of Santiago de Compostela, Spain
| | - J Álvarez-Dios
- Faculty of Mathematics, University of Santiago de Compostela, Spain
| | - E Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland; Department of Forensic Genetics, Pomeranian Medical University in Szczecin, Poland
| | - W Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Austria; Forensic Science Program, Pennsylvania State University, PA, USA
| | - M Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - W Branicki
- Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland; Institute of Forensic Research, Kraków, Poland.
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10
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Koshmanova E, Berger A, Beckers E, Campbell I, Mortazavi N, Sharifpour R, Paparella I, Balda F, Berthomier C, Degueldre C, Salmon E, Lamalle L, Bastin C, Van Egroo M, Phillips C, Maquet P, Collette F, Muto V, Chylinski D, Jacobs HI, Talwar P, Sherif S, Vandewalle G. Locus coeruleus activity while awake is associated with REM sleep quality in older individuals. JCI Insight 2023; 8:e172008. [PMID: 37698926 PMCID: PMC10619502 DOI: 10.1172/jci.insight.172008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 09/06/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUNDThe locus coeruleus (LC) is the primary source of norepinephrine in the brain and regulates arousal and sleep. Animal research shows that it plays important roles in the transition between sleep and wakefulness, and between slow wave sleep and rapid eye movement sleep (REMS). It is unclear, however, whether the activity of the LC predicts sleep variability in humans.METHODSWe used 7-Tesla functional MRI, sleep electroencephalography (EEG), and a sleep questionnaire to test whether the LC activity during wakefulness was associated with sleep quality in 33 healthy younger (~22 years old; 28 women, 5 men) and 19 older (~61 years old; 14 women, 5 men) individuals.RESULTSWe found that, in older but not in younger participants, higher LC activity, as probed during an auditory attentional task, was associated with worse subjective sleep quality and with lower power over the EEG theta band during REMS. The results remained robust even when accounting for the age-related changes in the integrity of the LC.CONCLUSIONThese findings suggest that LC activity correlates with the perception of the sleep quality and an essential oscillatory mode of REMS, and we found that the LC may be an important target in the treatment of sleep- and age-related diseases.FUNDINGThis work was supported by Fonds National de la Recherche Scientifique (FRS-FNRS, T.0242.19 & J. 0222.20), Action de Recherche Concertée - Fédération Wallonie-Bruxelles (ARC SLEEPDEM 17/27-09), Fondation Recherche Alzheimer (SAO-FRA 2019/0025), ULiège, and European Regional Development Fund (Radiomed & Biomed-Hub).
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Affiliation(s)
- Ekaterina Koshmanova
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Alexandre Berger
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
- Institute of Neuroscience (IoNS), Université Catholique de Louvain (UCLouvain), Brussels, Belgium
- Synergia Medical SA, Mont-Saint-Guibert, Belgium
| | - Elise Beckers
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Islay Campbell
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Nasrin Mortazavi
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Roya Sharifpour
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Ilenia Paparella
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Fermin Balda
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | | | - Christian Degueldre
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Eric Salmon
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
- Neurology Department, Centre Hospitalier Universitaire de Liège, Liège, Belgium
- PsyNCog and
| | - Laurent Lamalle
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Christine Bastin
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
- PsyNCog and
| | - Maxime Van Egroo
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Christophe Phillips
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
- In Silico Medicine Unit, GIGA-Institute, ULiège, Liège, Belgium
| | - Pierre Maquet
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
- Neurology Department, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Fabienne Collette
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
- PsyNCog and
| | - Vincenzo Muto
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Daphne Chylinski
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Heidi I.L. Jacobs
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Puneet Talwar
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Siya Sherif
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
| | - Gilles Vandewalle
- Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège (ULiège), Liège, Belgium
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11
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Paparella I, Campbell I, Sharifpour R, Beckers E, Berger A, Aizpurua JFB, Koshmanova E, Mortazavi N, Talwar P, Degueldre C, Lamalle L, Sherif S, Phillips C, Maquet P, Vandewalle G. Light modulates task-dependent thalamo-cortical connectivity during an auditory attentional task. Commun Biol 2023; 6:945. [PMID: 37714936 PMCID: PMC10504287 DOI: 10.1038/s42003-023-05337-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 09/08/2023] [Indexed: 09/17/2023] Open
Abstract
Exposure to blue wavelength light stimulates alertness and performance by modulating a widespread set of task-dependent cortical and subcortical areas. How light affects the crosstalk between brain areas to trigger this stimulating effect is not established. Here we record the brain activity of 19 healthy young participants (24.05±2.63; 12 women) while they complete an auditory attentional task in darkness or under an active (blue-enriched) or a control (orange) light, in an ultra-high-field 7 Tesla MRI scanner. We test if light modulates the effective connectivity between an area of the posterior associative thalamus, encompassing the pulvinar, and the intraparietal sulcus (IPS), key areas in the regulation of attention. We find that only the blue-enriched light strengthens the connection from the posterior thalamus to the IPS. To the best of our knowledge, our results provide the first empirical data supporting that blue wavelength light affects ongoing non-visual cognitive activity by modulating task-dependent information flow from subcortical to cortical areas.
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Affiliation(s)
- Ilenia Paparella
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Islay Campbell
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Roya Sharifpour
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Elise Beckers
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ET, Maastricht, The Netherlands
| | - Alexandre Berger
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Institute of Neuroscience (IoNS), Université Catholique de Louvain (UCLouvain), 1200, Brussels, Belgium
- Synergia Medical SA, 1435, Mont-Saint-Guibert, Belgium
| | | | - Ekaterina Koshmanova
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Nasrin Mortazavi
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Puneet Talwar
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Christian Degueldre
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Laurent Lamalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Siya Sherif
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium
- Neurology Department, CHU de Liège, 4000, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, 4000, Liège, Belgium.
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12
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Salvatore S, Ruffolo AF, Phillips C, Athanasiou S, Cardozo L, Serati M. Vaginal laser therapy for GSM/VVA: where we stand now - a review by the EUGA Working Group on Laser. Climacteric 2023; 26:336-352. [PMID: 37395104 DOI: 10.1080/13697137.2023.2225766] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/09/2023] [Accepted: 07/12/2023] [Indexed: 07/04/2023]
Abstract
Vulvovaginal atrophy (VVA) is a chronic progressive condition that involves the genital and lower urinary tracts, related to the decrease of serum estrogenic levels when menopause occurs. The definition of genitourinary syndrome of menopause (GSM) is a medically more accurate, all-encompassing and publicly acceptable term than VVA. Due to the chronic progressive trend of GSM, symptoms tend to reappear after the cessation of therapy, and frequently long-term treatment is required. First-line therapies include vulvar and vaginal lubricant or moisturizers, and, in the case of failure, low-dose vaginal estrogens are the preferred pharmacological therapy. Populations of patients, such as breast cancer (BC) survivors, are affected by iatrogenic GSM symptoms with concerns about the use of hormonal therapies. The non-ablative erbium:YAG laser and the fractional microablative CO2 vaginal laser are the two main lasers evaluated for GSM treatment. The aim of this comprehensive review is to report the efficacy and safety of Er:YAG and CO2 vaginal lasers for GSM treatment. Vaginal laser therapy has been demonstrated to be effective in restoring vaginal health, improving VVA symptoms and sexual function. The data suggest that both Er:YAG and CO2 vaginal lasers are safe energy-based therapeutic options for management of VVA and/or GSM symptoms in postmenopausal women and BC survivors.
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Affiliation(s)
- S Salvatore
- Obstetrics and Gynaecology Department, IRRCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy
| | - A F Ruffolo
- Obstetrics and Gynaecology Department, IRRCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy
| | - C Phillips
- Department of Obstetrics and Gynecology, Hampshire Hospitals NHS Foundation Trust, Basingstoke, UK
| | - S Athanasiou
- First Department of Obstetrics and Gynaecology, National and Kapodistrian University of Athens, 'Alexandra' General Hospital, Athens, Greece
| | - L Cardozo
- Department of Urogynaecology, King's College Hospital, London, UK
| | - M Serati
- Department of Obstetrics and Gynecology, Del Ponte Hospital, University of Insubria, Varese, Italy
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13
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Moujaes F, Rieser NM, Phillips C, de Matos NMP, Brügger M, Dürler P, Smigielski L, Stämpfli P, Seifritz E, Vollenweider FX, Anticevic A, Preller KH. Comparing Neural Correlates of Consciousness: From Psychedelics to Hypnosis and Meditation. Biol Psychiatry Cogn Neurosci Neuroimaging 2023:S2451-9022(23)00174-X. [PMID: 37459910 DOI: 10.1016/j.bpsc.2023.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/23/2023] [Accepted: 07/07/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Pharmacological and nonpharmacological methods of inducing altered states of consciousness (ASCs) are becoming increasingly relevant in the treatment of psychiatric disorders. While comparisons between them are often drawn, to date no study has directly compared their neural correlates. METHODS To address this knowledge gap, we directly compared 2 pharmacological methods (psilocybin 0.2 mg/kg orally [n = 23] and lysergic acid diethylamide [LSD] 100 μg orally [n = 25]) and 2 nonpharmacological methods (hypnosis [n = 30] and meditation [n = 29]) using resting-state functional connectivity magnetic resonance imaging and assessed the predictive value of the data using a machine learning approach. RESULTS We found that 1) no network reached significance in all 4 ASC methods; 2) pharmacological and nonpharmacological interventions of inducing ASCs showed distinct connectivity patterns that were predictive at the individual level; 3) hypnosis and meditation showed differences in functional connectivity when compared directly and also drove distinct differences when jointly compared with the pharmacological ASC interventions; and 4) psilocybin and LSD showed no differences in functional connectivity when directly compared with each other, but they did show distinct behavioral-neural relationships. CONCLUSIONS Overall, these results extend our understanding of the mechanisms of action of ASCs and highlight the importance of exploring how these effects can be leveraged in the treatment of psychiatric disorders.
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Affiliation(s)
- Flora Moujaes
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Nathalie M Rieser
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland.
| | - Christophe Phillips
- GIGA Cyclotron Research Centre in vivo imaging, University of Liège, Liège, Belgium
| | - Nuno M P de Matos
- Clinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
| | - Mike Brügger
- Clinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
| | - Patricia Dürler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
| | - Lukasz Smigielski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Switzerland
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland; MR Center, Psychiatric University Hospital, University of Zurich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Katrin H Preller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
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14
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Berger A, Koshmanova E, Beckers E, Sharifpour R, Paparella I, Campbell I, Mortazavi N, Balda F, Yi YJ, Lamalle L, Dricot L, Phillips C, Jacobs HIL, Talwar P, El Tahry R, Sherif S, Vandewalle G. Structural and functional characterization of the locus coeruleus in young and late middle-aged individuals. Front Neuroimaging 2023; 2:1207844. [PMID: 37554637 PMCID: PMC10406214 DOI: 10.3389/fnimg.2023.1207844] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 06/05/2023] [Indexed: 08/10/2023]
Abstract
INTRODUCTION The brainstem locus coeruleus (LC) influences a broad range of brain processes, including cognition. The so-called LC contrast is an accepted marker of the integrity of the LC that consists of a local hyperintensity on specific Magnetic Resonance Imaging (MRI) structural images. The small size of the LC has, however, rendered its functional characterization difficult in humans, including in aging. A full characterization of the structural and functional characteristics of the LC in healthy young and late middle-aged individuals is needed to determine the potential roles of the LC in different medical conditions. Here, we wanted to determine whether the activation of the LC in a mismatch negativity task changes in aging and whether the LC functional response was associated to the LC contrast. METHODS We used Ultra-High Field (UHF) 7-Tesla functional MRI (fMRI) to record brain response during an auditory oddball task in 53 healthy volunteers, including 34 younger (age: 22.15y ± 3.27; 29 women) and 19 late middle-aged (age: 61.05y ± 5.3; 14 women) individuals. RESULTS Whole-brain analyses confirmed brain responses in the typical cortical and subcortical regions previously associated with mismatch negativity. When focusing on the brainstem, we found a significant response in the rostral part of the LC probability mask generated based on individual LC images. Although bilateral, the activation was more extensive in the left LC. Individual LC activity was not significantly different between young and late middle-aged individuals. Importantly, while the LC contrast was higher in older individuals, the functional response of the LC was not significantly associated with its contrast. DISCUSSION These findings may suggest that the age-related alterations of the LC structural integrity may not be related to changes in its functional response. The results further suggest that LC responses may remain stable in healthy individuals aged 20 to 70.
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Affiliation(s)
- Alexandre Berger
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Institute of Neuroscience (IoNS), Department of Clinical Neuroscience, Catholic University of Louvain, Brussels, Belgium
- Synergia Medical SA, Mont-Saint-Guibert, Belgium
| | - Ekaterina Koshmanova
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Elise Beckers
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Alzheimer Centre Limburg, Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Roya Sharifpour
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Ilenia Paparella
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Islay Campbell
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Nasrin Mortazavi
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Fermin Balda
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Yeo-Jin Yi
- Institute of Cognitive Neurology and Dementia Research, Department of Natural Sciences, Faculty of Medicine, Otto-von-Guericke-University, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Laurent Lamalle
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Laurence Dricot
- Institute of Neuroscience (IoNS), Department of Clinical Neuroscience, Catholic University of Louvain, Brussels, Belgium
| | - Christophe Phillips
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Heidi I. L. Jacobs
- Alzheimer Centre Limburg, Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Puneet Talwar
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Riëm El Tahry
- Institute of Neuroscience (IoNS), Department of Clinical Neuroscience, Catholic University of Louvain, Brussels, Belgium
- Center for Refractory Epilepsy, Department of Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO) Department, WEL Research Institute, Wavre, Belgium
| | - Siya Sherif
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
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Vandeleene N, Guillemin C, Dauby S, Requier F, Charonitis M, Chylinski D, Balteau E, Maquet P, Lommers E, Phillips C. Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study. Brain Behav 2023; 13:e2923. [PMID: 37078406 PMCID: PMC10176005 DOI: 10.1002/brb3.2923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/31/2022] [Accepted: 02/04/2023] [Indexed: 04/21/2023] Open
Abstract
INTRODUCTION Quantitative MRI quantifies tissue microstructural properties and supports the characterization of cerebral tissue damages. With an MPM protocol, 4 parameter maps are constructed: MTsat, PD, R1 and R2*, reflecting tissue physical properties associated with iron and myelin contents. Thus, qMRI is a good candidate for in vivo monitoring of cerebral damage and repair mechanisms related to MS. Here, we used qMRI to investigate the longitudinal microstructural changes in MS brain. METHODS Seventeen MS patients (age 25-65, 11 RRMS) were scanned on a 3T MRI, in two sessions separated with a median of 30 months, and the parameters evolution was evaluated within several tissue classes: NAWM, NACGM and NADGM, as well as focal WM lesions. An individual annual rate of change for each qMRI parameter was computed, and its correlation to clinical status was evaluated. For WM plaques, three areas were defined, and a GLMM tested the effect of area, time points, and their interaction on each median qMRI parameter value. RESULTS Patients with a better clinical evolution, that is, clinically stable or improving state, showed positive annual rate of change in MTsat and R2* within NAWM and NACGM, suggesting repair mechanisms in terms of increased myelin content and/or axonal density as well as edema/inflammation resorption. When examining WM lesions, qMRI parameters within surrounding NAWM showed microstructural modifications, even before any focal lesion is visible on conventional FLAIR MRI. CONCLUSION The results illustrate the benefit of multiple qMRI data in monitoring subtle changes within normal appearing brain tissues and plaque dynamics in relation with tissue repair or disease progression.
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Affiliation(s)
- Nora Vandeleene
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
| | - Camille Guillemin
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Solène Dauby
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Florence Requier
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Maëlle Charonitis
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Evelyne Balteau
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Emilie Lommers
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA CRC In Vivo Imaging, University of Liège, Liège, Belgium
- GIGA In Silico Medicine, University of Liège, Liège, Belgium
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16
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Koshmanova E, Berger A, Beckers E, Campbell I, Mortazavi N, Sharifpour R, Paparella I, Balda F, Berthomier C, Degueldre C, Salmon E, Lamalle L, Bastin C, Egroo MV, Phillips C, Maquet P, Collette F, Muto V, Chylinski D, Jacobs HI, Talwar P, Sherif S, Vandewalle G. In vivo Locus Coeruleus activity while awake is associated with REM sleep quality in healthy older individuals. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.10.527974. [PMID: 36993680 PMCID: PMC10054994 DOI: 10.1101/2023.02.10.527974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
The locus coeruleus (LC) is the primary source of norepinephrine (NE) in the brain, and the LC-NE system is involved in regulating arousal and sleep. It plays key roles in the transition between sleep and wakefulness, and between slow wave sleep (SWS) and rapid eye movement sleep (REMS). However, it is not clear whether the LC activity during the day predicts sleep quality and sleep properties during the night, and how this varies as a function of age. Here, we used 7 Tesla functional Magnetic Resonance Imaging (7T fMRI), sleep electroencephalography (EEG) and a sleep questionnaire to test whether the LC activity during wakefulness was associated with sleep quality in 52 healthy younger (N=33; ~22y; 28 women) and older (N=19; ~61y; 14 women) individuals. We find that, in older, but not in younger participants, higher LC activity, as probed during an auditory mismatch negativity task, is associated with worse subjective sleep quality and with lower power over the EEG theta band during REMS (4-8Hz), which are two sleep parameters significantly correlated in our sample of older individuals. The results remain robust even when accounting for the age-related changes in the integrity of the LC. These findings suggest that the activity of the LC may contribute to the perception of the sleep quality and to an essential oscillatory mode of REMS, and that the LC may be an important target in the treatment of sleep disorders and age-related diseases.
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Ruiz-Ramírez J, de la Puente M, Xavier C, Ambroa-Conde A, Álvarez-Dios J, Freire-Aradas A, Mosquera-Miguel A, Ralf A, Amory C, Katsara MA, Khellaf T, Nothnagel M, Cheung EYY, Gross TE, Schneider PM, Uacyisrael J, Oliveira S, Klautau-Guimarães MDN, Carvalho-Gontijo C, Pośpiech E, Branicki W, Parson W, Kayser M, Carracedo A, Lareu MV, Phillips C. Development and evaluations of the ancestry informative markers of the VISAGE Enhanced Tool for Appearance and Ancestry. Forensic Sci Int Genet 2023; 64:102853. [PMID: 36917866 DOI: 10.1016/j.fsigen.2023.102853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 02/15/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
The VISAGE Enhanced Tool for Appearance and Ancestry (ET) has been designed to combine markers for the prediction of bio-geographical ancestry plus a range of externally visible characteristics into a single massively parallel sequencing (MPS) assay. We describe the development of the ancestry panel markers used in ET, and the enhanced analyses they provide compared to previous MPS-based forensic ancestry assays. As well as established autosomal single nucleotide polymorphisms (SNPs) that differentiate sub-Saharan African, European, East Asian, South Asian, Native American, and Oceanian populations, ET includes autosomal SNPs able to efficiently differentiate populations from Middle East regions. The ability of the ET autosomal ancestry SNPs to distinguish Middle East populations from other continentally defined population groups is such that characteristic patterns for this region can be discerned in genetic cluster analysis using STRUCTURE. Joint cluster membership estimates showing individual co-ancestry that signals North African or East African origins were detected, or cluster patterns were seen that indicate origins from central and Eastern regions of the Middle East. In addition to an augmented panel of autosomal SNPs, ET includes panels of 85 Y-SNPs, 16 X-SNPs and 21 autosomal Microhaplotypes. The Y- and X-SNPs provide a distinct method for obtaining extra detail about co-ancestry patterns identified in males with admixed backgrounds. This study used the 1000 Genomes admixed African and admixed American sample sets to fully explore these enhancements to the analysis of individual co-ancestry. Samples from urban and rural Brazil with contrasting distributions of African, European, and Native American co-ancestry were also studied to gauge the efficiency of combining Y- and X-SNP data for this purpose. The small panel of Microhaplotypes incorporated in ET were selected because they showed the highest levels of haplotype diversity amongst the seven population groups we sought to differentiate. Microhaplotype data was not formally combined with single-site SNP genotypes to analyse ancestry. However, the haplotype sequence reads obtained with ET from these loci creates an effective system for de-convoluting two-contributor mixed DNA. We made simple mixture experiments to demonstrate that when the contributors have different ancestries and the mixture ratios are imbalanced (i.e., not 1:1 mixtures) the ET Microhaplotype panel is an informative system to infer ancestry when this differs between the contributors.
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Affiliation(s)
- J Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
| | - C Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - J Álvarez-Dios
- Faculty of Mathematics, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - A Ralf
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, 3015 CN Rotterdam, South Holland, the Netherlands
| | - C Amory
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - M A Katsara
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany
| | - T Khellaf
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany
| | - M Nothnagel
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany; University Hospital Cologne, 50937 Cologne, Germany
| | - E Y Y Cheung
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - T E Gross
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - P M Schneider
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - J Uacyisrael
- Fiji Police Forensic Biology and DNA Laboratory, Nasova, Suva, Fiji
| | - S Oliveira
- Departamento Genética e Morfologia, Universidade de Brasília, Brasília, DF, Brazil
| | | | - C Carvalho-Gontijo
- Departamento Genética e Morfologia, Universidade de Brasília, Brasília, DF, Brazil
| | - E Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland
| | - W Branicki
- Institute of Zoology and Biomedical Research, Jagiellonian University, 30-387 Kraków, Poland
| | - W Parson
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, State College, PA 16802, USA
| | - M Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, 3015 CN Rotterdam, South Holland, the Netherlands
| | - A Carracedo
- Fundación Pública Galega de Medicina Xenómica (FPGMX), Instituto de Investigación Sanitaria (IDIS),15706 Santiago de Compostela, Spain; Genomics Group, CIBERER, CIMUS, University of Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
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18
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Deantoni M, Baillet M, Hammad G, Berthomier C, Reyt M, Jaspar M, Meyer C, Van Egroo M, Talwar P, Lambot E, Chellappa SL, Degueldre C, Luxen A, Salmon E, Balteau E, Phillips C, Dijk DJ, Vandewalle G, Collette F, Maquet P, Muto V, Schmidt C. Association between sleep slow-wave activity and in-vivo estimates of myelin in healthy young men. Neuroimage 2023; 272:120045. [PMID: 36997136 PMCID: PMC10112274 DOI: 10.1016/j.neuroimage.2023.120045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 01/18/2023] [Accepted: 03/17/2023] [Indexed: 03/31/2023] Open
Abstract
Sleep has been suggested to contribute to myelinogenesis and associated structural changes in the brain. As a principal hallmark of sleep, slow-wave activity (SWA) is homeostatically regulated but also differs between individuals. Besides its homeostatic function, SWA topography is suggested to reflect processes of brain maturation. Here, we assessed whether interindividual differences in sleep SWA and its homeostatic response to sleep manipulations are associated with in-vivo myelin estimates in a sample of healthy young men. Two hundred twenty-six participants (18-31 y.) underwent an in-lab protocol in which SWA was assessed at baseline (BAS), after sleep deprivation (high homeostatic sleep pressure, HSP) and after sleep saturation (low homeostatic sleep pressure, LSP). Early-night frontal SWA, the frontal-occipital SWA ratio, as well as the overnight exponential SWA decay were computed over sleep conditions. Semi-quantitative magnetization transfer saturation maps (MTsat), providing markers for myelin content, were acquired during a separate laboratory visit. Early-night frontal SWA was negatively associated with regionally decreased myelin estimates in the temporal portion of the inferior longitudinal fasciculus. By contrast, neither the responsiveness of SWA to sleep saturation or deprivation, its overnight dynamics, nor the frontal/occipital SWA ratio were associated with brain structural indices. Our results indicate that frontal SWA generation tracks inter-individual differences in continued structural brain re-organization during early adulthood. This stage of life is not only characterized by ongoing region-specific changes in myelin content, but also by a sharp decrease and a shift towards frontal predominance in SWA generation.
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Affiliation(s)
| | | | | | | | - Mathilde Reyt
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium; Psychology and Neurosciences of Cognition (PsyNCog), Faculty of Psychology, Logopedics and Educational Sciences University of Liège, Belgium
| | - Mathieu Jaspar
- ARCH, Faculty of Psychology, Logopedics and Educational Sciences, University of Liège, Belgium
| | | | - Maxime Van Egroo
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands
| | - Puneet Talwar
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium
| | - Eric Lambot
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium
| | - Sarah L Chellappa
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | | | - André Luxen
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium
| | - Eric Salmon
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium
| | | | | | - Derk-Jan Dijk
- Sleep Research Centre, University of Surrey, Guildford, UK; UK Dementia Research Institute, Care Research & Technology Centre at Imperial College London and the University of Surrey, Guildford, UK
| | | | - Fabienne Collette
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium; Psychology and Neurosciences of Cognition (PsyNCog), Faculty of Psychology, Logopedics and Educational Sciences University of Liège, Belgium
| | - Pierre Maquet
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium; Department of Neurology, University Hospital (CHU) of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium.
| | - Christina Schmidt
- GIGA-CRC in Vivo Imaging, University of Liège, Belgium; Psychology and Neurosciences of Cognition (PsyNCog), Faculty of Psychology, Logopedics and Educational Sciences University of Liège, Belgium.
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19
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Clark CJ, Kerr M, Barr ED, Bhattacharyya B, Breton RP, Bruel P, Camilo F, Chen W, Cognard I, Cromartie HT, Deneva J, Dhillon VS, Guillemot L, Kennedy MR, Kramer M, Lyne AG, Sánchez DM, Nieder L, Phillips C, Ransom SM, Ray PS, Roberts MSE, Roy J, Smith DA, Spiewak R, Stappers BW, Tabassum S, Theureau G, Voisin G. Neutron star mass estimates from gamma-ray eclipses in spider millisecond pulsar binaries. Nat Astron 2023; 7:451-462. [PMID: 37096051 PMCID: PMC10119022 DOI: 10.1038/s41550-022-01874-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 12/01/2022] [Indexed: 05/03/2023]
Abstract
Reliable neutron star mass measurements are key to determining the equation of state of cold nuclear matter, but such measurements are rare. Black widows and redbacks are compact binaries consisting of millisecond pulsars and semi-degenerate companion stars. Spectroscopy of the optically bright companions can determine their radial velocities, providing inclination-dependent pulsar mass estimates. Although inclinations can be inferred from subtle features in optical light curves, such estimates may be systematically biased due to incomplete heating models and poorly understood variability. Using data from the Fermi Large Area Telescope, we have searched for gamma-ray eclipses from 49 spider systems, discovering significant eclipses in 7 systems, including the prototypical black widow PSR B1957+20. Gamma-ray eclipses require direct occultation of the pulsar by the companion, and so the detection, or significant exclusion, of a gamma-ray eclipse strictly limits the binary inclination angle, providing new robust, model-independent pulsar mass constraints. For PSR B1957+20, the eclipse implies a much lighter pulsar (1.81 ± 0.07 solar masses) than inferred from optical light curve modelling.
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Affiliation(s)
- C. J. Clark
- Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Hannover, Germany
- Leibniz Universität Hannover, Hannover, Germany
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
| | - M. Kerr
- Space Science Division, Naval Research Laboratory, Washington, DC USA
| | - E. D. Barr
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - B. Bhattacharyya
- National Centre for Radio Astrophysics, Tata Institute of Fundamental Research, Pune, India
| | - R. P. Breton
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
| | - P. Bruel
- Laboratoire Leprince-Ringuet, École Polytechnique, CNRS/IN2P3, Palaiseau, France
| | - F. Camilo
- South African Radio Astronomy Observatory, Cape Town, South Africa
| | - W. Chen
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - I. Cognard
- Laboratoire de Physique et Chimie de l’Environnement et de l’Espace–Université d’Orléans, CNRS, Orléans, France
- Observatoire Radioastronomique de Nançay, Observatoire de Paris, Université PSL, Université d’Orléans, CNRS, Nançay, France
| | - H. T. Cromartie
- Cornell Center for Astrophysics and Planetary Science and Department of Astronomy, Cornell University, Ithaca, NY USA
| | - J. Deneva
- Space Science Division, Naval Research Laboratory, Washington, DC USA
- College of Science, George Mason University, Fairfax, VA USA
| | - V. S. Dhillon
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
- Instituto de Astrofísica de Canarias, La Laguna, Spain
| | - L. Guillemot
- Laboratoire de Physique et Chimie de l’Environnement et de l’Espace–Université d’Orléans, CNRS, Orléans, France
- Observatoire Radioastronomique de Nançay, Observatoire de Paris, Université PSL, Université d’Orléans, CNRS, Nançay, France
| | - M. R. Kennedy
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
- Department of Physics, University College Cork, Cork, Ireland
| | - M. Kramer
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - A. G. Lyne
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
| | - D. Mata Sánchez
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
- Instituto de Astrofísica de Canarias, La Laguna, Spain
- Departamento de Astrofísica, Universidad de La Laguna, La Laguna, Spain
| | - L. Nieder
- Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Hannover, Germany
- Leibniz Universität Hannover, Hannover, Germany
| | - C. Phillips
- University of Virginia, Charlottesville, VA USA
| | - S. M. Ransom
- National Radio Astronomy Observatory, Socorro, NM USA
| | - P. S. Ray
- Space Science Division, Naval Research Laboratory, Washington, DC USA
| | | | - J. Roy
- National Centre for Radio Astrophysics, Tata Institute of Fundamental Research, Pune, India
| | - D. A. Smith
- Laboratoire d’Astrophysique de Bordeaux, Université de Bordeaux, CNRS, Pessac, France
| | - R. Spiewak
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
- ARC Centre of Excellence for Gravitational Wave Discovery (OzGrav), Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Hawthorn, Victoria Australia
- Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Hawthorn, Victoria Australia
| | - B. W. Stappers
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
| | - S. Tabassum
- New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
- Department of Physics and Astronomy, West Virginia University, Morgantown, WV USA
| | - G. Theureau
- Laboratoire de Physique et Chimie de l’Environnement et de l’Espace–Université d’Orléans, CNRS, Orléans, France
- Observatoire Radioastronomique de Nançay, Observatoire de Paris, Université PSL, Université d’Orléans, CNRS, Nançay, France
- Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, Meudon, France
| | - G. Voisin
- Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester, Manchester, UK
- Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, Meudon, France
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20
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Mouraux C, Van Egroo M, Chylinski D, Narbutas J, Phillips C, Salmon E, Maquet P, Bastin C, Collette F, Vandewalle G. Effort during prolonged wakefulness is associated with performance to attentional and executive tasks but not with cortical excitability in late-middle-aged healthy individuals. Neuropsychology 2023; 37:77-92. [PMID: 36355646 DOI: 10.1037/neu0000868] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Sleep loss negatively affects brain function with repercussion not only on objective measures of performance but also on many subjective dimensions, including effort perceived for the completion of cognitive processes. This may be particularly important in aging, which is accompanied by important changes in sleep and wakefulness regulation. We aimed to determine whether subjectively perceived effort covaried with cognitive performance in healthy late-middle-aged individuals. METHOD We assessed effort and performance to cognitive tasks in 99 healthy adults (66 women; 50-70 years) during a 20-hr wake extension protocol, following 7 days of regular sleep and wake times and a baseline night of sleep in the laboratory. We further explored links with cortical excitability using transcranial magnetic stimulation coupled to electroencephalography. RESULTS Perceived effort increased during wake extension and was highly correlated to subjective metrics of sleepiness, fatigue, and motivation, but not to variations in cortical excitability. Moreover, effort increase was associated with decreased performance to some cognitive tasks (psychomotor vigilance and two-back working memory task). Importantly, effort variations during wakefulness extension decreased from age 50 to 70 years, while more effort is associated with worse performance in older individuals. CONCLUSION In healthy late-middle-aged individuals, more effort is perceived to perform cognitive tasks, but it is not sufficient to overcome the performance decline brought by lack of sleep. Entry in the seventh decade may stand as a turning point in the daily variations of perceived effort and its link with cognition. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging
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21
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Smyth C, Xie S, Zaborniak T, Fellows M, Phillips C, Kurz W. Development of a prototype modeling system to estimate the GHG mitigation potential of forest and wildfire management. MethodsX 2022; 10:101985. [PMID: 36654531 PMCID: PMC9841028 DOI: 10.1016/j.mex.2022.101985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/22/2022] [Indexed: 12/24/2022] Open
Abstract
Having recently experienced the three worst wildfire seasons in British Columbia's history in 2017, 2018 and 2021, and anticipating more severe impacts in the future, a key Carbon (C) research priority is to develop reliable models to explore options and identify a portfolio of regionally differentiated solutions for wildfire and forest management. We contribute to this effort by developing a prototype integrated C modeling framework which includes future wildfires that respond to forest stand characteristics and wildfire history. Model validation evaluated net GHG emissions relative to a 'do-nothing' baseline for several management scenarios and included emissions from forest ecosystems, harvested wood products and substitution benefits from avoided fossil fuel burning and avoided emissions-intensive materials. Data improvements are needed to accurately quantify the baseline and scenario GHG emissions, and to identify trade-offs and uncertainties. • A Fire Tolerant scenario included post-fire restoration with planting of climatically suitable fire-resistant species and salvage harvest in place of clearcut harvest.
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Affiliation(s)
- C. Smyth
- Natural Resources Canada, Canadian Forest Service, 506 Burnside Road West, Victoria, BC V8Z 1M5, Canada
- Corresponding author.
| | - S.H. Xie
- Natural Resources Canada, Canadian Forest Service, 506 Burnside Road West, Victoria, BC V8Z 1M5, Canada
- University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
| | - T. Zaborniak
- Natural Resources Canada, Canadian Forest Service, 506 Burnside Road West, Victoria, BC V8Z 1M5, Canada
| | - M. Fellows
- Natural Resources Canada, Canadian Forest Service, 506 Burnside Road West, Victoria, BC V8Z 1M5, Canada
| | - C. Phillips
- Pacific Institute for Climate Solutions, PO Box 1700 Stn. CSC, Victoria, BC V8W 2Y2, Canada
| | - W.A. Kurz
- Natural Resources Canada, Canadian Forest Service, 506 Burnside Road West, Victoria, BC V8Z 1M5, Canada
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22
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Chylinski D, Narbutas J, Balteau E, Collette F, Bastin C, Berthomier C, Salmon E, Maquet P, Carrier J, Phillips C, Lina JM, Vandewalle G, Van Egroo M. Frontal grey matter microstructure is associated with sleep slow waves characteristics in late midlife. Sleep 2022; 45:zsac178. [PMID: 35869626 PMCID: PMC9644125 DOI: 10.1093/sleep/zsac178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 07/13/2022] [Indexed: 07/25/2023] Open
Abstract
STUDY OBJECTIVES The ability to generate slow waves (SW) during non-rapid eye movement (NREM) sleep decreases as early as the 5th decade of life, predominantly over frontal regions. This decrease may concern prominently SW characterized by a fast switch from hyperpolarized to depolarized, or down-to-up, state. Yet, the relationship between these fast and slow switcher SW and cerebral microstructure in ageing is not established. METHODS We recorded habitual sleep under EEG in 99 healthy late midlife individuals (mean age = 59.3 ± 5.3 years; 68 women) and extracted SW parameters (density, amplitude, frequency) for all SW as well as according to their switcher type (slow vs. fast). We further used neurite orientation dispersion and density imaging (NODDI) to assess microstructural integrity over a frontal grey matter region of interest (ROI). RESULTS In statistical models adjusted for age, sex, and sleep duration, we found that a lower SW density, particularly for fast switcher SW, was associated with a reduced orientation dispersion of neurites in the frontal ROI (p = 0.018, R2β* = 0.06). In addition, overall SW frequency was positively associated with neurite density (p = 0.03, R2β* = 0.05). By contrast, we found no significant relationships between SW amplitude and NODDI metrics. CONCLUSIONS Our findings suggest that the complexity of neurite organization contributes specifically to the rate of fast switcher SW occurrence in healthy middle-aged individuals, corroborating slow and fast switcher SW as distinct types of SW. They further suggest that the density of frontal neurites plays a key role for neural synchronization during sleep. TRIAL REGISTRATION NUMBER EudraCT 2016-001436-35.
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Affiliation(s)
- Daphne Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Evelyne Balteau
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | | | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
- Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Julie Carrier
- CARSM, CIUSSS of Nord-de l’Île-de-Montréal, Montreal, Canada
- Department of Psychology, University of Montreal, Canada
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- GIGA-In Silico Medicine, University of Liège, Liège, Belgium
| | - Jean-Marc Lina
- CARSM, CIUSSS of Nord-de l’Île-de-Montréal, Montreal, Canada
- Department of Psychology, University of Montreal, Canada
| | - Gilles Vandewalle
- Corresponding authors. Gilles Vandewalle, GIGA-Cyclotron Research Centre-In Vivo Imaging, Bâtiment B30, Université de Liège, Allée du Six Août, 8, 4000 Liège, Belgium.
| | - Maxime Van Egroo
- Maxime Van Egroo, Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, Maastricht, The Netherlands.
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23
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Abu-Salah A, Phillips C, Inman A. Rare Presentation of Crescentic Glomerulonephritis in a 4-Week-Old Infant. Am J Clin Pathol 2022. [DOI: 10.1093/ajcp/aqac126.328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract
Introduction/Objective
Rapidly progressive glomerulonephritis is characterized by sudden decline in renal function and glomerular crescents. Crescentic glomerulonephritis develops along three pathways: glomerular basement membrane antibody in situ deposition , circulating immune complex glomerular deposition, or pauci-immune (typically ANCA-associated). For the latter, histopathologic diagnosis is more frequently obtained in adults than in children. Therefore, tissue examination opportunities in infants and neonates is exceptionally rare.
Methods/Case Report
Here we report the autopsy findings from a 4-week-old infant who was part of dichorionic, diamniotic twin pregnancy and born prematurely at 34 weeks to a 30-year-old G6P4 mother. The infant initially presented with labored breathing and poor oral intake, but subsequently developed Enterobactor meningoencephalitis and sepsis, leading to extensive strokes andstatus epilepticus. An infectious source was not identified clinically, and evaluation for an underlying immunodeficiency was indeterminant. The mother had no known autoimmune diseases or antenatal infections. At autopsy, kidney histology showed focal fibrinoid necrosis and/or cellular and fibrocellular crescents (~5%), especially mid to deep cortex. Intracapillary hypercellularity was minimal to absent. Mesangial matrix was not expanded. The interstitium contained patchy inflammatory infiltrates (mononuclear > polymorphonuclear). Direct immunofluorescence (IF) on pronase-treated paraffin sections did not show glomerular deposition of IgG, IgA, or IgM. Electron microscopy (EM) did not show electron dense deposits despite autolysis.
Results (if a Case Study enter NA)
NA.
Conclusion
The absence of immune complex deposition by IF and dense deposits by EM favors the rare diagnosis of pauci-immune glomerulonephritis in this case of neonatal crescentic glomerulonephritis associated with Enterobactor meningoencephalitis and sepsis, with no associated maternal autoimmune disease or antenatal infections.
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Affiliation(s)
- A Abu-Salah
- Pathology , Indiana University school of medicine , Indianapolis, Indiana , United States
| | - C Phillips
- Pathology , Indiana University school of medicine , Indianapolis, Indiana , United States
| | - A Inman
- Pathology , Indiana University school of medicine , Indianapolis, Indiana , United States
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24
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Ambroa-Conde A, Girón-Santamaría L, Mosquera-Miguel A, Phillips C, Casares de Cal M, Gómez-Tato A, Álvarez-Dios J, de la Puente M, Ruiz-Ramírez J, Lareu M, Freire-Aradas A. Epigenetic age estimation in saliva and in buccal cells. Forensic Sci Int Genet 2022; 61:102770. [DOI: 10.1016/j.fsigen.2022.102770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/22/2022] [Accepted: 08/24/2022] [Indexed: 11/04/2022]
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25
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Xavier C, de la Puente M, Mosquera-Miguel A, Freire-Aradas A, Kalamara V, Ralf A, Revoir A, Gross T, Schneider P, Ames C, Hohoff C, Phillips C, Kayser M, Parson W. Development and inter-laboratory evaluation of the VISAGE Enhanced Tool for Appearance and Ancestry inference from DNA. Forensic Sci Int Genet 2022; 61:102779. [DOI: 10.1016/j.fsigen.2022.102779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 09/14/2022] [Accepted: 09/18/2022] [Indexed: 11/30/2022]
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26
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Phillips C, de la Puente M, Ruiz-Ramirez J, Staniewska A, Ambroa-Conde A, Freire-Aradas A, Mosquera-Miguel A, Rodriguez A, Lareu MV. Eurasiaplex-2: Shifting the focus to SNPs with high population specificity increases the power of forensic ancestry marker sets. Forensic Sci Int Genet 2022; 61:102780. [PMID: 36174251 DOI: 10.1016/j.fsigen.2022.102780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/16/2022] [Accepted: 09/18/2022] [Indexed: 11/27/2022]
Abstract
To compile a new South Asian-informative panel of forensic ancestry SNPs, we changed the strategy for selecting the most powerful markers for this purpose by targeting polymorphisms with near absolute specificity - when the South Asian-informative allele identified is absent from all other populations or present at frequencies below 0.001 (one in a thousand). More than 120 candidate SNPs were identified from 1000 Genomes datasets satisfying an allele frequency screen of ≥ 0.1 (10 % or more) allele frequency in South Asians, and ≤ 0.001 (0.1 % or less) in African, East Asian, and European populations. From the candidate pool of markers, a final panel of 36 SNPs, widely distributed across most autosomes, were selected that had allele frequencies in the five 1000 Genomes South Asian populations ranging from 0.4 to 0.15. Slightly lower average allele frequencies, but consistent patterns of informativeness were observed in gnomAD South Asian datasets used to validate the 1000 Genomes variant annotations. We named the panel of 36 South Asian-specific SNPs Eurasiaplex-2, and the informativeness of the panel was evaluated by compiling worldwide population data from 4097 samples in four genome variation databases that largely complement the global sampling of 1000 Genomes. Consistent patterns of allele frequency distribution, which were specific to South Asia, were observed in all populations in, or closely sited to, the Indian sub-continent. Pakistani populations from the HGDP-CEPH panel had markedly lower allele frequencies, highlighting the need to develop a statistical system to evaluate the ancestry inference value of counting the number of population-specific alleles present in an individual.
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Affiliation(s)
- C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain; Institute of Anthropology and Ethnology, Adam Mickiewicz University in Poznań, Poland..
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - J Ruiz-Ramirez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Staniewska
- Institute of Anthropology and Ethnology, Adam Mickiewicz University in Poznań, Poland
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Rodriguez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
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Freire-Aradas A, Girón-Santamaría L, Mosquera-Miguel A, Ambroa-Conde A, Phillips C, Casares de Cal M, Gómez-Tato A, Álvarez-Dios J, Pospiech E, Aliferi A, Syndercombe Court D, Branicki W, Lareu M. A common epigenetic clock from childhood to old age. Forensic Sci Int Genet 2022; 60:102743. [DOI: 10.1016/j.fsigen.2022.102743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 11/04/2022]
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Karakuzu A, Appelhoff S, Auer T, Boudreau M, Feingold F, Khan AR, Lazari A, Markiewicz C, Mulder M, Phillips C, Salo T, Stikov N, Whitaker K, de Hollander G. qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data. Sci Data 2022; 9:517. [PMID: 36002444 PMCID: PMC9402561 DOI: 10.1038/s41597-022-01571-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 07/19/2022] [Indexed: 11/16/2022] Open
Abstract
The Brain Imaging Data Structure (BIDS) established community consensus on the organization of data and metadata for several neuroimaging modalities. Traditionally, BIDS had a strong focus on functional magnetic resonance imaging (MRI) datasets and lacked guidance on how to store multimodal structural MRI datasets. Here, we present and describe the BIDS Extension Proposal 001 (BEP001), which adds a range of quantitative MRI (qMRI) applications to the BIDS. In general, the aim of qMRI is to characterize brain microstructure by quantifying the physical MR parameters of the tissue via computational, biophysical models. By proposing this new standard, we envision standardization of qMRI through multicenter dissemination of interoperable datasets. This way, BIDS can act as a catalyst of convergence between qMRI methods development and application-driven neuroimaging studies that can help develop quantitative biomarkers for neural tissue characterization. In conclusion, this BIDS extension offers a common ground for developers to exchange novel imaging data and tools, reducing the entrance barrier for qMRI in the field of neuroimaging.
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Affiliation(s)
- Agah Karakuzu
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montréal, QC, Canada. .,Montreal Heart Institute, Montreal, QC, Canada.
| | - Stefan Appelhoff
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
| | - Tibor Auer
- NeuroModulation Lab, School of Psychology, University of Surrey, Guildford, UK
| | - Mathieu Boudreau
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montréal, QC, Canada.,Montreal Heart Institute, Montreal, QC, Canada
| | | | - Ali R Khan
- Department of Medical Biophysics, Robarts Research Institute, University of Western Ontario, London, Canada
| | - Alberto Lazari
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Martijn Mulder
- Department of Experimental Psychology, Utrecht University, Utrecht, the Netherlands
| | - Christophe Phillips
- GIGA Cyclotron Research Centre in vivo imaging, GIGA Institute, University of Liège, Liège, Belgium
| | - Taylor Salo
- Florida International University, Miami, FL, USA
| | - Nikola Stikov
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montréal, QC, Canada.,Montreal Heart Institute, Montreal, QC, Canada.,Center for Advanced Interdisciplinary Research, Ss. Cyril and Methodius University, Skopje, North Macedonia
| | | | - Gilles de Hollander
- Zurich Center for Neuroeconomics (ZNE), Department of Economics, University of Zurich, Zurich, Switzerland. .,Spinoza Centre for Neuroimaging, Amsterdam, The Netherlands.
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Thevathasan L, Fairley L, Phillips C. Effect of medical education on European psychiatrists’ knowledge in management of major depressive disorder and psychiatric emergencies. Eur Psychiatry 2022. [PMCID: PMC9566477 DOI: 10.1192/j.eurpsy.2022.316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction
The challenge for psychiatrists is keeping up to date with the latest clinical trial data in managing major depressive disorder (MDD) and psychiatric emergencies.
Objectives
We evaluated whether an online educational video lecture directed at psychiatrists, could improve knowledge and confidence regarding management of psychiatric emergencies associated with MDD.
Methods
Educational effect was assessed using a 3-question repeated pairs, pre/post assessment survey. A paired-samples t-test was conducted to assess overall number correct and confidence change. A McNemar’s test was conducted to assess question-level significance. P values < 0.05 are statistically significant. Cohen’s d test was used to estimate the magnitude of effect of education. The activity launched on 8 April 2021, and preliminary data analysed as of 24 June 2021.
Results
807 psychiatrists participated in the programme, of which 150 completed the pre- and post-assessment test. An average overall correct response rate of 44% pre- increased to 74% post- (67% relative increase, P<0.001; Cohen’s d = 0.91). Knowledge on the burden of suicide and MDD improved from 38% pre- to 85% post- (124% relative increase,P<0.001). Knowledge regarding clinical data for novel therapies for use in psychiatric emergencies improved from 47% pre- to 68% post- (45% relative increase, P<0.01). Knowledge regarding signs of suicidal intent in patients with MDD improved from 49% pre- to 71% (45% relative increase, P<0.001) following education.
Conclusions
This study demonstrates the positive effect of online medical education on psychiatrists’ knowledge in contemporary management of psychiatric emergencies associated with MDD in Europe.
Disclosure
The results of this study were from an educational programme that was developed through independent educational funding from Janssen Neuroscience.
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Thevathasan L, Fairley L, Phillips C. Effect of medical education on European primary care physicians’ knowledge in management of major depressive disorder and psychiatric emergencies. Eur Psychiatry 2022. [PMCID: PMC9564351 DOI: 10.1192/j.eurpsy.2022.747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Introduction The challenge for primary care physicians (PCPs) is keeping up to date in managing major depressive disorder (MDD) and psychiatric emergencies. Objectives We evaluated whether an online educational video lecture directed at PCPs, could improve knowledge and confidence regarding management of psychiatric emergencies associated with MDD. Methods Educational effect was assessed using a 3-question repeated pairs, pre/post assessment survey. A paired-samples t-test was conducted to assess overall number correct and confidence change. A McNemar’s test was conducted to assess question-level significance. P values < 0.05 are statistically significant. Cohen’s d test was used to estimate the magnitude of effect of education. The activity launched on 8 April 2021, and preliminary data analysed as of 24 June 2021. Results 511 PCPs participated in the programme, of which 86 PCPs completed the pre- and post-assessment test. An average overall correct response rate of 28% pre- increased to 64% post- (129% relative increase, P<0.001; Cohen’s d = 1.13). Knowledge on the burden of suicide and MDD improved from 23% pre- to 87% post- (278% relative increase,P<0.001). Knowledge regarding clinical data for novel therapies for use in psychiatric emergencies improved from 29% pre- to 50% post- (72% relative increase, P<0.01). Knowledge regarding signs of suicidal intent in patients with MDD improved from 31% pre- to 53% (71% relative increase, P<0.001) following education. Conclusions This study demonstrates the positive effect of online medical education on PCPs’ knowledge and confidence in contemporary management of psychiatric emergencies associated with MDD in Europe. Disclosure The results of this study were derived from an educational programme which was developed through independent educational funding from Janssen Neuroscience
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Chylinski D, Van Egroo M, Narbutas J, Muto V, Bahri MA, Berthomier C, Salmon E, Bastin C, Phillips C, Collette F, Maquet P, Carrier J, Lina JM, Vandewalle G. Timely coupling of sleep spindles and slow waves is linked to early amyloid-β burden and predicts memory decline. eLife 2022; 11:78191. [PMID: 35638265 PMCID: PMC9177143 DOI: 10.7554/elife.78191] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 05/23/2022] [Indexed: 12/05/2022] Open
Abstract
Sleep alteration is a hallmark of ageing and emerges as a risk factor for Alzheimer’s disease (AD). While the fine-tuned coalescence of sleep microstructure elements may influence age-related cognitive trajectories, its association with AD processes is not fully established. Here, we investigated whether the coupling of spindles and slow waves (SW) is associated with early amyloid-β (Aβ) brain burden, a hallmark of AD neuropathology, and cognitive change over 2 years in 100 healthy individuals in late-midlife (50–70 years; 68 women). We found that, in contrast to other sleep metrics, earlier occurrence of spindles on slow-depolarisation SW is associated with higher medial prefrontal cortex Aβ burden (p=0.014, r²β*=0.06) and is predictive of greater longitudinal memory decline in a large subsample (p=0.032, r²β*=0.07, N=66). These findings unravel early links between sleep, AD-related processes, and cognition and suggest that altered coupling of sleep microstructure elements, key to its mnesic function, contributes to poorer brain and cognitive trajectories in ageing.
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Affiliation(s)
- Daphne Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Julie Carrier
- Centre for Advanced Research in Sleep Medicine, Université de Montréal, Montreal, Canada
| | - Jean-Marc Lina
- Centre for Advanced Research in Sleep Medicine, Université de Montréal, Montreal, Canada
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
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Phillips C, Nemade P, Christmas T. P.136 Remifentanil patient-controlled analgesia: a service evaluation in a tertiary hospital. Int J Obstet Anesth 2022. [DOI: 10.1016/j.ijoa.2022.103432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Harvey PR, Phillips C, Newbery N, Nagamoottoo D, Woolf K, Trudgill NJ. Ethnic differences in success at application for consultant posts among United Kingdom physicians from 2011 to 2019: a retrospective cross-sectional observational study. J R Soc Med 2022; 115:300-312. [PMID: 35357252 DOI: 10.1177/01410768221085691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES To identify associations between success following application for consultant physician posts and demographic factors. DESIGN Logistic regression analysis of nationwide survey data. SETTING United Kingdom (UK) physicians with a recent certificate of completion of training (CCT). PARTICIPANTS All UK trainee physicians who received a CCT between 2010 and 2019 were surveyed. Respondents were excluded if they had not applied for a consultant post or if application data were incomplete. MAIN OUTCOME MEASURES The primary outcome measure was success over the entire consultant application process, i.e. shortlisted and offered the post following the first application. Secondary outcomes were: shortlisted following first application and offered a consultant post at first interview. RESULTS From 7037 CCT holders surveyed, 50.7% responded. While 1198 (59.7%) respondents were white, 760 (37.9%) were from minority ethnic groups and 50 (3.5%) were of unknown ethnicity. Primary medical qualification (PMQ) country was the UK in 75.3% (n = 1512). On multivariable logistic regression analysis the independent negative associations with success were: minority ethnicity (odds ratio [OR] 0.55, 95% confidence interval [CI] 0.43-0.71); p < 0.001) vs. white; PMQ from Europe (OR 0.47, 95% CI 0.28-0.79; p = 0.004) or Asia (OR 0.68, 95% CI 0.49-0.96; p = 0.027) vs. UK PMQ; year of CCT 2012 (OR 0.40, 95% CI 0.24-0.68; p = 0.001), 2013 (OR 0.39, 95% CI 0.23-0.65; p < 0.001), and 2014 (OR 0.26, 95% CI 0.15-0.43; p < 0.001) vs. 2019. Specialties associated with lower success rates included Cardiology, Endocrinology, Genitourinary medicine, Palliative care, Renal and Respiratory, compared to Acute medicine. CONCLUSIONS Minority ethnic group candidates for consultant physician posts had lower success rates compared to white candidates after correction for important variables including specialty, time from and country of PMQ. This finding requires further evaluation to identify the causes for this variation.
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Affiliation(s)
- P R Harvey
- The Royal Wolverhampton NHS Trust, Wolverhampton, WV10 0QP, UK
| | - C Phillips
- Medical Workforce Unit, Royal College of Physicians, London, NW1 4LE,UK
| | - N Newbery
- Medical Workforce Unit, Royal College of Physicians, London, NW1 4LE,UK
| | - D Nagamoottoo
- Medical Workforce Unit, Royal College of Physicians, London, NW1 4LE,UK
| | - K Woolf
- Research Department of Medical Education, University College London Medical School, London, WC1E 6BT, UK
| | - N J Trudgill
- Medical Workforce Unit, Royal College of Physicians, London, NW1 4LE,UK.,Sandwell and West Birmingham NHS Trust, West Bromwich, B71 4HJ, UK
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Norgaard M, Matheson GJ, Hansen HD, Thomas A, Searle G, Rizzo G, Veronese M, Giacomel A, Yaqub M, Tonietto M, Funck T, Gillman A, Boniface H, Routier A, Dalenberg JR, Betthauser T, Feingold F, Markiewicz CJ, Gorgolewski KJ, Blair RW, Appelhoff S, Gau R, Salo T, Niso G, Pernet C, Phillips C, Oostenveld R, Gallezot JD, Carson RE, Knudsen GM, Innis RB, Ganz M. PET-BIDS, an extension to the brain imaging data structure for positron emission tomography. Sci Data 2022; 9:65. [PMID: 35236846 PMCID: PMC8891322 DOI: 10.1038/s41597-022-01164-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 02/11/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Martin Norgaard
- Neurobiology Research Unit, Rigshospitalet, and Institute of Clinical Medicine, Univ. Copenhagen, København, Denmark.,Department of Psychology, Stanford University, California, USA
| | - Granville J Matheson
- Department of Psychiatry, Columbia University, New York, NY, 10032, USA.,Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm, Sweden
| | - Hanne D Hansen
- Neurobiology Research Unit, Rigshospitalet, and Institute of Clinical Medicine, Univ. Copenhagen, København, Denmark.,Athinoula A. Martinos Center for Biomedical Imaging, MGH/HST, Charlestown, MA, USA
| | - Adam Thomas
- Intramural Research Program, NIMH, Bethesda, USA
| | - Graham Searle
- Invicro and Division of Brain Sciences, Imperial College London, London, UK
| | - Gaia Rizzo
- Invicro and Division of Brain Sciences, Imperial College London, London, UK
| | - Mattia Veronese
- Centre for Neuroimaging Sciences, King's College London, London, UK.,Department of Information Engineering, University of Padua, Padua, Italy
| | - Alessio Giacomel
- Centre for Neuroimaging Sciences, King's College London, London, UK
| | - Maqsood Yaqub
- Amsterdam UMC, location VUmc, department of radiology and nuclear medicine, Amsterdam, Netherlands
| | - Matteo Tonietto
- Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, Orsay, France
| | - Thomas Funck
- INM-1, Jülich Forschungszentrum, Jülich, Germany
| | - Ashley Gillman
- Aust. e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Townsville, Australia
| | - Hugo Boniface
- Centre d'Acquisition et de Traitement des Images, CEA, Paris, France
| | - Alexandre Routier
- Inria, Aramis project-team, Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, AP-HP, Hôpital de la Pitié Salpêtriére, Paris, France
| | - Jelle R Dalenberg
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tobey Betthauser
- Wisconsin Alzheimer's Disease Research Center, Division of Geriatrics, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | | | | | | | - Ross W Blair
- Department of Psychology, Stanford University, California, USA
| | - Stefan Appelhoff
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
| | - Remi Gau
- Institute of psychology, Université catholique de Louvain, Louvain la Neuve, Belgium
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Guiomar Niso
- Psychological Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Cyril Pernet
- Neurobiology Research Unit, Rigshospitalet, and Institute of Clinical Medicine, Univ. Copenhagen, København, Denmark
| | - Christophe Phillips
- GIGA Cyclotron Research Centre in vivo imaging, University of Liege, Liege, Belgium
| | - Robert Oostenveld
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.,NatMEG, Karolinska Institutet, Stockholm, Sweden
| | | | - Richard E Carson
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, USA
| | - Gitte M Knudsen
- Neurobiology Research Unit, Rigshospitalet, and Institute of Clinical Medicine, Univ. Copenhagen, København, Denmark
| | - Robert B Innis
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, USA
| | - Melanie Ganz
- Neurobiology Research Unit, Rigshospitalet, and Institute of Clinical Medicine, Univ. Copenhagen, København, Denmark. .,Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
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Lutti A, Corbin N, Ashburner J, Ziegler G, Draganski B, Phillips C, Kherif F, Callaghan MF, Di Domenicantonio G. Restoring statistical validity in group analyses of motion-corrupted MRI data. Hum Brain Mapp 2022; 43:1973-1983. [PMID: 35112434 PMCID: PMC8933245 DOI: 10.1002/hbm.25767] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 12/09/2021] [Accepted: 12/14/2021] [Indexed: 01/07/2023] Open
Abstract
Motion during the acquisition of magnetic resonance imaging (MRI) data degrades image quality, hindering our capacity to characterise disease in patient populations. Quality control procedures allow the exclusion of the most affected images from analysis. However, the criterion for exclusion is difficult to determine objectively and exclusion can lead to a suboptimal compromise between image quality and sample size. We provide an alternative, data‐driven solution that assigns weights to each image, computed from an index of image quality using restricted maximum likelihood. We illustrate this method through the analysis of quantitative MRI data. The proposed method restores the validity of statistical tests, and performs near optimally in all brain regions, despite local effects of head motion. This method is amenable to the analysis of a broad type of MRI data and can accommodate any measure of image quality.
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Affiliation(s)
- Antoine Lutti
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nadège Corbin
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR5536, CNRS/University Bordeaux, Bordeaux, France.,Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - John Ashburner
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Gabriel Ziegler
- Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Germany
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Christophe Phillips
- GIGA Cyclotron Research Centre - in vivo imaging, GIGA Institute, University of Liège, Liège, Belgium
| | - Ferath Kherif
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martina F Callaghan
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Giulia Di Domenicantonio
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Grubnic S, Hine J, Adam EJ, Patel J, Moser J, Phillips C, Webb P, Blanks R. COVID-19: using chest CT of major trauma patients to monitor and evaluate the second wave in London and the development of routine monitoring in practice. Clin Radiol 2021; 77:231-235. [PMID: 35022132 PMCID: PMC8673733 DOI: 10.1016/j.crad.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/10/2021] [Indexed: 11/12/2022]
Abstract
AIM To follow-up previous work evaluating incidental findings of COVID-19 signs on computed tomography (CT) images of major trauma patients to include the second wave prior to any major effects from vaccines. MATERIALS AND METHODS The study population included all patients admitted following major trauma between 1 January 2020 and 28 February 2021 with CT including the lungs (n=1776). Major trauma patients admitted pre-COVID-19 from alternate months from January 2019 to November 2019 comprised a control group (n=837). The assessing radiologists were blinded to the time period and used double reading in consensus to determine if the patient had signs of COVID-19. Lung appearances were classified as no evidence of COVID-19, minor signs, or major signs. RESULTS The method successfully tracked the second wave of the COVID-19 pandemic in London. The estimated population affected by the disease based on those with major signs was similar to estimates of the proportion of the population in London with antibodies (around 30% by end February 2021) and the total of major and minor signs produced a much higher figure of 68%, which may include all those with both antibody and just T-cell responses. CONCLUSIONS Incidental findings on CT from major trauma patients may provide a novel and sensitive way of tracking the virus. It is recommended that all major trauma units include a simple question on signs of COVID-19 to provide an early warning system for further waves.
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Affiliation(s)
- S Grubnic
- Department of Radiology, St George's Hospital, Blackshaw Road, London, SW17 0QT, UK
| | - J Hine
- Department of Radiology, St George's Hospital, Blackshaw Road, London, SW17 0QT, UK.
| | - E J Adam
- Department of Radiology, St George's Hospital, Blackshaw Road, London, SW17 0QT, UK
| | - J Patel
- Department of Radiology, St George's Hospital, Blackshaw Road, London, SW17 0QT, UK
| | - J Moser
- Department of Radiology, St George's Hospital, Blackshaw Road, London, SW17 0QT, UK
| | - C Phillips
- Department of Radiology, St George's Hospital, Blackshaw Road, London, SW17 0QT, UK
| | - P Webb
- Department of Radiology, St George's Hospital, Blackshaw Road, London, SW17 0QT, UK
| | - R Blanks
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
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Chylinski DO, Van Egroo M, Narbutas J, Grignard M, Koshmanova E, Berthomier C, Berthomier P, Brandewinder M, Salmon E, Bahri MA, Bastin C, Collette F, Phillips C, Maquet P, Muto V, Vandewalle G. Heterogeneity in the links between sleep arousals, amyloid-beta and cognition. JCI Insight 2021; 6:152858. [PMID: 34784296 PMCID: PMC8783672 DOI: 10.1172/jci.insight.152858] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 11/10/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Tight relationships between sleep quality, cognition, and amyloid-β (Aβ) accumulation, a hallmark of Alzheimer’s disease (AD) neuropathology, have been shown. Sleep arousals become more prevalent with aging and are considered to reflect poorer sleep quality. However, heterogeneity in arousals has been suggested while their associations with Aβ and cognition are not established. METHODS We recorded undisturbed night-time sleep with EEG in 101 healthy individuals aged 50–70 years, devoid of cognitive and sleep disorders. We classified spontaneous arousals according to their association with muscular tone increase (M+/M–) and sleep stage transition (T+/T–). We assessed cortical Aβ burden over earliest affected regions via PET imaging and assessed cognition via neuropsychological testing. RESULTS Arousal types differed in their oscillatory composition in θ (4–8 Hz) and β (16–30 Hz) EEG bands. Furthermore, T+M– arousals, interrupting sleep continuity, were positively linked to Aβ burden (P = 0.0053, R²β* = 0.08). By contrast, more prevalent T–M+ arousals, upholding sleep continuity, were associated with lower Aβ burden (P = 0.0003, R²β* = 0.13), and better cognition, particularly over the attentional domain (P < 0.05, R²β* ≥ 0.04). CONCLUSION Contrasting with what is commonly accepted, we provide empirical evidence that arousals are diverse and differently associated with early AD-related neuropathology and cognition. This suggests that sleep arousals, and their coalescence with other brain oscillations during sleep, may actively contribute to the beneficial functions of sleep and constitute markers of favorable brain and cognitive health trajectories. TRIAL REGISTRATION EudraCT 2016-001436-35. FUNDING FRS-FNRS Belgium (FRSM 3.4516.11), Actions de Recherche Concertées Fédération Wallonie-Bruxelles (SLEEPDEM 17/27-09), ULiège, and European Regional Development Fund (Radiomed Project).
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Affiliation(s)
- Daphne O Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Martin Grignard
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | | | | | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
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Truelsen D, Freire-Aradas A, Nazari M, Aliferi A, Ballard D, Phillips C, Morling N, Pereira V, Børsting C. Evaluation of a custom QIAseq targeted DNA panel with 164 ancestry informative markers sequenced with the Illumina MiSeq. Sci Rep 2021; 11:21040. [PMID: 34702940 PMCID: PMC8548529 DOI: 10.1038/s41598-021-99933-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 09/29/2021] [Indexed: 11/08/2022] Open
Abstract
Introduction of new methods requires meticulous evaluation before they can be applied to forensic genetic case work. Here, a custom QIAseq Targeted DNA panel with 164 ancestry informative markers was assessed using the MiSeq sequencing platform. Concordance, sensitivity, and the capability for analysis of mixtures were tested. The assay gave reproducible and nearly concordant results with an input of 10 and 2 ng DNA. Lower DNA input led to an increase in both locus and allele drop-outs, and a higher variation in heterozygote balance. Locus or allele drop-outs in the samples with less than 2 ng DNA input were not necessarily associated with the overall performance of a locus. Thus, the QIAseq assay will be difficult to implement in a forensic genetic setting where the sample material is often scarce and of poor quality. With equal or near equal mixture ratios, the mixture DNA profiles were easily identified by an increased number of imbalanced heterozygotes. For more skewed mixture ratios, the mixture DNA profiles were identified by an increased noise level. Lastly, individuals from Great Britain and the Middle East were investigated. The Middle Eastern individuals showed a greater affinity with South European populations compared to North European populations.
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Affiliation(s)
- D Truelsen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark.
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - M Nazari
- Faculty of Life Sciences and Medicine, King's College, London, UK
| | - A Aliferi
- Faculty of Life Sciences and Medicine, King's College, London, UK
| | - D Ballard
- Faculty of Life Sciences and Medicine, King's College, London, UK
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - N Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Mathematical Sciences, Aalborg University, 9220, Aalborg, Denmark
| | - V Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
| | - C Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
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Narbutas J, Van Egroo M, Chylinski D, Bahri MA, Koshmanova E, Talwar P, Besson G, Muto V, Schmidt C, Luxen A, Balteau E, Phillips C, Maquet P, Salmon E, Bastin C, Vandewalle G, Collette F. Associations Between Cognitive Complaints, Memory Performance, Mood, and Amyloid-β Accumulation in Healthy Amyloid Negative Late-Midlife Individuals. J Alzheimers Dis 2021; 83:127-141. [PMID: 34275899 DOI: 10.3233/jad-210332] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitive complaints are gaining more attention as they may represent an early marker of increased risk for AD in individuals without objective decline at standard neuropsychological examination. OBJECTIVE Our aim was to assess whether cognitive complaints in late middle-aged individuals not seeking medical help are related to objective cognitive outcomes known as early markers for AD risk, concomitant affective state, and amyloid-β (Aβ) burden. METHODS Eighty-seven community-based cognitively normal individuals aged 50-69 years underwent neuropsychological assessment for global cognition, using Preclinical Alzheimer's Cognitive Composite 5 (PACC5) score, and a more specific episodic memory measure. Affective state was based on self-assessment questionnaires for depression and anxiety. Aβ PET burden was assessed via [18F]Flutemetamol (N = 84) and [18F]Florbetapir (N = 3) uptake. Cognitive complaints were evaluated using Cognitive Difficulties Scale. RESULTS Higher cognitive complaints were significantly associated with lower episodic memory performance and worse affective state. Moreover, higher level of cognitive complaints was related to higher (but still sub-clinical) global Aβ accumulation (at uncorrected significance level). Importantly, all three aspects remained significant when taken together in the same statistical model, indicating that they explained distinct parts of variance. CONCLUSION In healthy Aβ negative late middle-aged individuals, a higher degree of cognitive complaints is associated with lower episodic memory efficiency, more anxiety and depression, as well as, potentially, with higher Aβ burden, suggesting that complaints might signal subtle decline. Future studies should untangle how cognitive complaints in healthy aging populations are related to longitudinal changes in objective cognition and AD biomarker correlates.
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Affiliation(s)
- Justinas Narbutas
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Puneet Talwar
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gabriel Besson
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - André Luxen
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Evelyne Balteau
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
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40
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Lavrova E, Lommers E, Woodruff HC, Chatterjee A, Maquet P, Salmon E, Lambin P, Phillips C. Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis. Front Neurosci 2021; 15:679941. [PMID: 34421515 PMCID: PMC8374240 DOI: 10.3389/fnins.2021.679941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 06/14/2021] [Indexed: 12/23/2022] Open
Abstract
Conventional magnetic resonance imaging (cMRI) is poorly sensitive to pathological changes related to multiple sclerosis (MS) in normal-appearing white matter (NAWM) and gray matter (GM), with the added difficulty of not being very reproducible. Quantitative MRI (qMRI), on the other hand, attempts to represent the physical properties of tissues, making it an ideal candidate for quantitative medical image analysis or radiomics. We therefore hypothesized that qMRI-based radiomic features have added diagnostic value in MS compared to cMRI. This study investigated the ability of cMRI (T1w) and qMRI features extracted from white matter (WM), NAWM, and GM to distinguish between MS patients (MSP) and healthy control subjects (HCS). We developed exploratory radiomic classification models on a dataset comprising 36 MSP and 36 HCS recruited in CHU Liege, Belgium, acquired with cMRI and qMRI. For each image type and region of interest, qMRI radiomic models for MS diagnosis were developed on a training subset and validated on a testing subset. Radiomic models based on cMRI were developed on the entire training dataset and externally validated on open-source datasets with 167 HCS and 10 MSP. Ranked by region of interest, the best diagnostic performance was achieved in the whole WM. Here the model based on magnetization transfer imaging (a type of qMRI) features yielded a median area under the receiver operating characteristic curve (AUC) of 1.00 in the testing sub-cohort. Ranked by image type, the best performance was achieved by the magnetization transfer models, with median AUCs of 0.79 (0.69–0.90, 90% CI) in NAWM and 0.81 (0.71–0.90) in GM. The external validation of the T1w models yielded an AUC of 0.78 (0.47–1.00) in the whole WM, demonstrating a large 95% CI and a low sensitivity of 0.30 (0.10–0.70). This exploratory study indicates that qMRI radiomics could provide efficient diagnostic information using NAWM and GM analysis in MSP. T1w radiomics could be useful for a fast and automated check of conventional MRI for WM abnormalities once acquisition and reconstruction heterogeneities have been overcome. Further prospective validation is needed, involving more data for better interpretation and generalization of the results.
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Affiliation(s)
- Elizaveta Lavrova
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.,GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Emilie Lommers
- GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium.,Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Henry C Woodruff
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.,Department of Radiology and Nuclear Imaging, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Avishek Chatterjee
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands
| | - Pierre Maquet
- GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium.,Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Eric Salmon
- GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Philippe Lambin
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.,Department of Radiology and Nuclear Imaging, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Christophe Phillips
- GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium.,GIGA In Silico Medicine, University of Liège, Liège, Belgium
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41
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Jedidi Z, Manard M, Balteau E, Degueldre C, Luxen A, Phillips C, Collette F, Maquet P, Majerus S. Corrigendum to: Incidental Verbal Semantic Processing Recruits the Fronto-temporal Semantic Control Network. Cereb Cortex 2021; 31:4864. [PMID: 34274965 DOI: 10.1093/cercor/bhab250] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/21/2021] [Accepted: 05/25/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Z Jedidi
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium.,Department of Neurology, CHU Liège, Domaine Universitaire du Sart-Tilman, 4000 Liège, Belgium
| | - M Manard
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium
| | - E Balteau
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium
| | - C Degueldre
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium
| | - A Luxen
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium
| | - C Phillips
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium
| | - F Collette
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium
| | - P Maquet
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium.,Department of Neurology, CHU Liège, Domaine Universitaire du Sart-Tilman, 4000 Liège, Belgium
| | - S Majerus
- GIGA - Cyclotron Research Centre in vivo imaging, University of Liège, 4000 Liège, Belgium.,Psychology & Neuroscience of Cognition Research Unit, University of Liège, 4000 Liège, Belgium.,Fund for Scientific Research - FNRS, 1000 Brussels, Belgium
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42
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Narbutas J, Chylinski D, Van Egroo M, Bahri MA, Koshmanova E, Besson G, Muto V, Schmidt C, Luxen A, Balteau E, Phillips C, Maquet P, Salmon E, Vandewalle G, Bastin C, Collette F. Positive Effect of Cognitive Reserve on Episodic Memory, Executive and Attentional Functions Taking Into Account Amyloid-Beta, Tau, and Apolipoprotein E Status. Front Aging Neurosci 2021; 13:666181. [PMID: 34122044 PMCID: PMC8194490 DOI: 10.3389/fnagi.2021.666181] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/20/2021] [Indexed: 01/01/2023] Open
Abstract
Studies exploring the simultaneous influence of several physiological and environmental factors on domain-specific cognition in late middle-age remain scarce. Therefore, our objective was to determine the respective contribution of modifiable risk/protective factors (cognitive reserve and allostatic load) on specific cognitive domains (episodic memory, executive functions, and attention), taking into account non-modifiable factors [sex, age, and genetic risk for Alzheimer's disease (AD)] and AD-related biomarker amount (amyloid-beta and tau/neuroinflammation) in a healthy late-middle-aged population. One hundred and one healthy participants (59.4 ± 5 years; 68 women) were evaluated for episodic memory, executive and attentional functioning via neuropsychological test battery. Cognitive reserve was determined by the National Adult Reading Test. The allostatic load consisted of measures of lipid metabolism and sympathetic nervous system functioning. The amyloid-beta level was assessed using positron emission tomography in all participants, whereas tau/neuroinflammation positron emission tomography scans and apolipoprotein E genotype were available for 58 participants. Higher cognitive reserve was the main correlate of better cognitive performance across all domains. Moreover, age was negatively associated with attentional functioning, whereas sex was a significant predictor for episodic memory, with women having better performance than men. Finally, our results did not show clear significant associations between performance over any cognitive domain and apolipoprotein E genotype and AD biomarkers. This suggests that domain-specific cognition in late healthy midlife is mainly determined by a combination of modifiable (cognitive reserve) and non-modifiable factors (sex and age) rather than by AD biomarkers and genetic risk for AD.
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Affiliation(s)
- Justinas Narbutas
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gabriel Besson
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - André Luxen
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Evelyne Balteau
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Department of Neurology, CHU de Liège, Liège, Belgium
| | - Eric Salmon
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
- Department of Neurology, CHU de Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA Institute, Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
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Sanchez-Casanova R, Sarmiento-Franco L, Phillips C. The effects of outdoor access and stocking density on the performance of broilers reared under tropical conditions. Br Poult Sci 2021; 62:632-637. [DOI: 10.1080/00071668.2021.1918633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
| | | | - C. Phillips
- Sustainability Policy Institute, Curtin University of Technology, Perth, Australia
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44
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Muto V, Koshmanova E, Ghaemmaghami P, Jaspar M, Meyer C, Elansary M, Van Egroo M, Chylinski D, Berthomier C, Brandewinder M, Mouraux C, Schmidt C, Hammad G, Coppieters W, Ahariz N, Degueldre C, Luxen A, Salmon E, Phillips C, Archer SN, Yengo L, Byrne E, Collette F, Georges M, Dijk DJ, Maquet P, Visscher PM, Vandewalle G. Alzheimer's disease genetic risk and sleep phenotypes in healthy young men: association with more slow waves and daytime sleepiness. Sleep 2021; 44:5872145. [PMID: 32671396 DOI: 10.1093/sleep/zsaa137] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/11/2020] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES Sleep disturbances and genetic variants have been identified as risk factors for Alzheimer's disease (AD). Our goal was to assess whether genome-wide polygenic risk scores (PRS) for AD associate with sleep phenotypes in young adults, decades before typical AD symptom onset. METHODS We computed whole-genome PRS for AD and extensively phenotyped sleep under different sleep conditions, including baseline sleep, recovery sleep following sleep deprivation, and extended sleep opportunity, in a carefully selected homogenous sample of 363 healthy young men (22.1 years ± 2.7) devoid of sleep and cognitive disorders. RESULTS AD PRS was associated with more slow-wave energy, that is, the cumulated power in the 0.5-4 Hz EEG band, a marker of sleep need, during habitual sleep and following sleep loss, and potentially with larger slow-wave sleep rebound following sleep deprivation. Furthermore, higher AD PRS was correlated with higher habitual daytime sleepiness. CONCLUSIONS These results imply that sleep features may be associated with AD liability in young adults, when current AD biomarkers are typically negative, and support the notion that quantifying sleep alterations may be useful in assessing the risk for developing AD.
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Affiliation(s)
- Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Walloon Excellence in Life sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | - Ekaterina Koshmanova
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pouya Ghaemmaghami
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mathieu Jaspar
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Walloon Excellence in Life sciences and Biotechnology (WELBIO), Wallonia, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Christelle Meyer
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Walloon Excellence in Life sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | | | - Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | | | - Charlotte Mouraux
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Grégory Hammad
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Naima Ahariz
- GIGA-Medical Genomics, University of Liège, Liège, Belgium
| | - Christian Degueldre
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - André Luxen
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium.,Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,GIGA-In Silico Medicine, University of Liège, Liège, Belgium
| | - Simon N Archer
- Sleep Research Centre, University of Surrey, Guildford, UK
| | - Loic Yengo
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Enda Byrne
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Michel Georges
- GIGA-Medical Genomics, University of Liège, Liège, Belgium
| | - Derk-Jan Dijk
- Sleep Research Centre, University of Surrey, Guildford, UK.,UK Dementia Research Institute, University of Surrey, Guildford, UK
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Walloon Excellence in Life sciences and Biotechnology (WELBIO), Wallonia, Belgium.,Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
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Van Egroo M, Narbutas J, Chylinski D, Villar González P, Ghaemmaghami P, Muto V, Schmidt C, Gaggioni G, Besson G, Pépin X, Tezel E, Marzoli D, Le Goff C, Cavalier E, Luxen A, Salmon E, Maquet P, Bahri MA, Phillips C, Bastin C, Collette F, Vandewalle G. Author Correction: Preserved wake-dependent cortical excitability dynamics predict cognitive fitness beyond age-related brain alterations. Commun Biol 2021; 4:472. [PMID: 33833380 PMCID: PMC8032751 DOI: 10.1038/s42003-021-01995-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01995-5
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Affiliation(s)
- Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Pouya Ghaemmaghami
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Giulia Gaggioni
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gabriel Besson
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Xavier Pépin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Elif Tezel
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Davide Marzoli
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Caroline Le Goff
- Department of Clinical Chemistry, University Hospital of Liège, Liège, Belgium
| | - Etienne Cavalier
- Department of Clinical Chemistry, University Hospital of Liège, Liège, Belgium
| | - André Luxen
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium.,Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,GIGA-In Silico Medicine, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
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46
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Van Egroo M, Chylinski D, Narbutas J, Besson G, Muto V, Schmidt C, Marzoli D, Cardone P, Vandeleene N, Grignard M, Luxen A, Salmon E, Lambert C, Bastin C, Collette F, Phillips C, Maquet P, Bahri MA, Balteau E, Vandewalle G. Early brainstem [18F]THK5351 uptake is linked to cortical hyperexcitability in healthy aging. JCI Insight 2021; 6:142514. [PMID: 33290274 PMCID: PMC7934880 DOI: 10.1172/jci.insight.142514] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 12/03/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Neuronal hyperexcitability characterizes the early stages of Alzheimer’s disease (AD). In animals, early misfolded tau and amyloid-β (Aβ) protein accumulation — both central to AD neuropathology — promote cortical excitability and neuronal network dysfunction. In healthy humans, misfolded tau and Aβ aggregates are first detected, respectively, in the brainstem and frontomedial and temporobasal cortices, decades prior to the onset of AD cognitive symptoms. Whether cortical excitability is related to early brainstem tau — and its associated neuroinflammation — and cortical Aβ aggregations remains unknown. METHODS We probed frontal cortex excitability, using transcranial magnetic stimulation combined with electroencephalography, in a sample of 64 healthy late-middle–aged individuals (50–69 years; 45 women and 19 men). We assessed whole-brain [18F]THK5351 PET uptake as a proxy measure of tau/neuroinflammation, and we assessed whole-brain Aβ burden with [18F]Flutemetamol or [18F]Florbetapir radiotracers. RESULTS We found that higher [18F]THK5351 uptake in a brainstem monoaminergic compartment was associated with increased cortical excitability (r = 0.29, P = 0.02). By contrast, [18F]THK5351 PET signal in the hippocampal formation, although strongly correlated with brainstem signal in whole-brain voxel-based quantification analyses (P value corrected for family-wise error [PFWE-corrected] < 0.001), was not significantly associated with cortical excitability (r = 0.14, P = 0.25). Importantly, no significant association was found between early Aβ cortical deposits and cortical excitability (r = –0.20, P = 0.11). CONCLUSION These findings reveal potential brain substrates for increased cortical excitability in preclinical AD and may constitute functional in vivo correlates of early brainstem tau accumulation and neuroinflammation in humans. TRIAL REGISTRATION EudraCT 2016-001436-35. FUNDING F.R.S.-FNRS Belgium, Wallonie-Bruxelles International, ULiège, Fondation Simone et Pierre Clerdent, European Regional Development Fund.
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Affiliation(s)
| | | | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,Psychology and Cognitive Neuroscience Research Unit, University of Liège (ULiège), Liège, Belgium
| | | | - Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,Psychology and Cognitive Neuroscience Research Unit, University of Liège (ULiège), Liège, Belgium
| | - Christina Schmidt
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,Psychology and Cognitive Neuroscience Research Unit, University of Liège (ULiège), Liège, Belgium
| | | | | | | | | | - André Luxen
- GIGA-Cyclotron Research Centre-In Vivo Imaging and
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,Psychology and Cognitive Neuroscience Research Unit, University of Liège (ULiège), Liège, Belgium.,Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Christian Lambert
- Wellcome Centre for Human Neuroimaging, University College London Institute of Neurology, London, United Kingdom
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,Psychology and Cognitive Neuroscience Research Unit, University of Liège (ULiège), Liège, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,Psychology and Cognitive Neuroscience Research Unit, University of Liège (ULiège), Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,GIGA-In Silico Medicine, ULiège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging and.,Department of Neurology, University Hospital of Liège, Liège, Belgium
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47
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Lommers E, Guillemin C, Reuter G, Fouarge E, Delrue G, Collette F, Degueldre C, Balteau E, Maquet P, Phillips C. Voxel-Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis. Hum Brain Mapp 2020; 42:1003-1012. [PMID: 33155763 PMCID: PMC7856642 DOI: 10.1002/hbm.25274] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 10/10/2020] [Accepted: 10/22/2020] [Indexed: 12/22/2022] Open
Abstract
Despite robust postmortem evidence and potential clinical importance of gray matter (GM) pathology in multiple sclerosis (MS), assessing GM damage by conventional magnetic resonance imaging (MRI) remains challenging. This prospective cross‐sectional study aimed at characterizing the topography of GM microstructural and volumetric alteration in MS using, in addition to brain atrophy measures, three quantitative MRI (qMRI) parameters—magnetization transfer (MT) saturation, longitudinal (R1), and effective transverse (R2*) relaxation rates, derived from data acquired during a single scanning session. Our study involved 35 MS patients (14 relapsing–remitting MS; 21 primary or secondary progressive MS) and 36 age‐matched healthy controls (HC). The qMRI maps were computed and segmented in different tissue classes. Voxel‐based quantification (VBQ) and voxel‐based morphometry (VBM) statistical analyses were carried out using multiple linear regression models. In MS patients compared with HC, three configurations of GM microstructural/volumetric alterations were identified. (a) Co‐localization of GM atrophy with significant reduction of MT, R1, and/or R2*, usually observed in primary cortices. (b) Microstructural modifications without significant GM loss: hippocampus and paralimbic cortices, showing reduced MT and/or R1 values without significant atrophy. (c) Atrophy without significant change in microstructure, identified in deep GM nuclei. In conclusion, this quantitative multiparametric voxel‐based approach reveals three different spatially‐segregated combinations of GM microstructural/volumetric alterations in MS that might be associated with different neuropathology.
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Affiliation(s)
- Emilie Lommers
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.,Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Camille Guillemin
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium
| | - Gilles Reuter
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.,Neurosurgery Department, CHU Liège, Liège, Belgium
| | - Eve Fouarge
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium
| | - Gaël Delrue
- Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium
| | | | - Evelyne Balteau
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.,Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA - CRC in vivo imaging, University of Liège, Liège, Belgium.,GIGA - in silico medicine, University of Liège, Liège, Belgium
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48
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Newman S, Bucknell N, Bressel M, Tran P, Campbell BA, David S, Haghighi N, Hanna GG, Kok D, MacManus M, Phillips C, Plumridge N, Shaw M, Wirth A, Wheeler G, Ball D, Siva S. Long-term Survival with 18-Fluorodeoxyglucose Positron Emission Tomography-directed Therapy in Non-small Cell Lung Cancer with Synchronous Solitary Brain Metastasis. Clin Oncol (R Coll Radiol) 2020; 33:163-171. [PMID: 33129655 DOI: 10.1016/j.clon.2020.10.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/28/2020] [Accepted: 10/13/2020] [Indexed: 11/27/2022]
Abstract
AIMS At diagnosis, <1% of patients with non-small cell lung cancer (NSCLC) have synchronous solitary brain metastasis (SSBM). In prior cohorts without 18-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) staging, definitive treatment to intracranial and intrathoracic disease showed a 5-year overall survival (OS) of 11-21%. We investigated the long-term survival outcomes for patients with SSBM NSCLC, diagnosed in the FDG-PET/CT era and treated definitively with local therapies to both intracranial and intrathoracic sites of disease. MATERIALS AND METHODS This retrospective study assessed patients staged with FDG-PET/CT who received definitive lung and SSBM treatment from February 1999 to December 2017. A lung-molecular graded prognostic assessment (lung-molGPA) score was assigned for each patient using age, performance status score, and, where carried out, molecular status. Overall survival and progression-free survival (PFS) were calculated using Kaplan-Meier methods. Cox proportional hazard models determined OS and PFS prognostic factors. RESULTS Forty-nine patients newly diagnosed with NSCLC and SSBM had a median age of 63 years (range 34-76). The median follow-up of all patients was 3.9 years. Thirty-three patients (67%) had ≥T2 disease, 23 (47%) had ≥N2. At 2 years, 45% of first failures were intracranial only (95% confidence interval 30-59). At 3 and 5 years, OS was 45% (95% confidence interval 32-63) and 30% (95% confidence interval 18-51), respectively. In ≥N1 disease, 5-year OS was 34% (95% confidence interval 18-63). The 3- and 5-year PFS was 8% (95% confidence interval 3-22) and 0%, respectively. Higher lung-molGPA was associated with longer OS (hazard ratio 0.26, 95% confidence interval 0.11-0.61, P = 0.002). Higher lung-molGPA (hazard ratio 0.33, 95% confidence interval 0.15-0.71, P = 0.005) and lower N-stage (hazard ratio 1.56, 95% confidence interval 1.13-2.15, P = 0.007) were associated with longer PFS. CONCLUSIONS Definitive treatment of patients with NSCLC and SSBM staged with FDG-PET/CT can result in 5-year survivors, including those with ≥N1 disease.
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Affiliation(s)
- S Newman
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - N Bucknell
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia; Sir Peter MacCallum Department of Oncology, Melbourne University, Parkville, Victoria, Australia
| | - M Bressel
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - P Tran
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - B A Campbell
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia; Sir Peter MacCallum Department of Oncology, Melbourne University, Parkville, Victoria, Australia
| | - S David
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - N Haghighi
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - G G Hanna
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia; Sir Peter MacCallum Department of Oncology, Melbourne University, Parkville, Victoria, Australia
| | - D Kok
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - M MacManus
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia; Sir Peter MacCallum Department of Oncology, Melbourne University, Parkville, Victoria, Australia
| | - C Phillips
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - N Plumridge
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - M Shaw
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - A Wirth
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - G Wheeler
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia
| | - D Ball
- Sir Peter MacCallum Department of Oncology, Melbourne University, Parkville, Victoria, Australia
| | - S Siva
- Peter MacCallum Cancer Centre, Radiation Oncology, Parkville, Victoria, Australia; Sir Peter MacCallum Department of Oncology, Melbourne University, Parkville, Victoria, Australia.
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49
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Song A, Ding K, Laperriere N, Perry J, Mason W, Winch C, O'Callaghan C, Menten J, Brandes A, Phillips C, Fay M, Nishikawa R, Osoba D, Cairncross G, Roa W, Wick W, Shi W. Impact of Lymphopenia on Survival for Elderly Patients with Glioblastoma: A Secondary Analysis of the CCTG CE.6 (EORTC 26062-22061, TROG03.01) Randomized Clinical Trial. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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50
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Pham M, Kendell B, Reside G, Phillips C, White R. Comparison of Pain Levels in Patients Electing Filling Opioid Prescriptions after Third Molar Surgery Using Liposomal Bupivacaine. J Oral Maxillofac Surg 2020. [DOI: 10.1016/j.joms.2020.07.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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