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Verdier M, Deverdun J, de Champfleur NM, Duffau H, Lam P, Santos TD, Troalen T, Maréchal B, Huelnhagen T, Bars EL. Evaluation of a nnU-Net type automated clinical volumetric tumor segmentation tool for diffuse low-grade glioma follow-up. J Neuroradiol 2024; 51:16-23. [PMID: 37308338 DOI: 10.1016/j.neurad.2023.05.008] [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: 12/12/2022] [Revised: 05/30/2023] [Accepted: 05/30/2023] [Indexed: 06/14/2023]
Abstract
BACKGROUND AND PURPOSE Diffuse low-grade gliomas (DLGG) are characterized by a slow and continuous growth and always evolve towards an aggressive grade. Accurate prediction of the malignant transformation is essential as it requires immediate therapeutic intervention. One of its most precise predictors is the velocity of diameter expansion (VDE). Currently, the VDE is estimated either by linear measurements or by manual delineation of the DLGG on T2 FLAIR acquisitions. However, because of the DLGG's infiltrative nature and its blurred contours, manual measures are challenging and variable, even for experts. Therefore we propose an automated segmentation algorithm using a 2D nnU-Net, to 1) gain time and 2) standardize VDE assessment. MATERIALS AND METHODS The 2D nnU-Net was trained on 318 acquisitions (T2 FLAIR & 3DT1 longitudinal follow-up of 30 patients, including pre- & post-surgery acquisitions, different scanners, vendors, imaging parameters…). Automated vs. manual segmentation performance was evaluated on 167 acquisitions, and its clinical interest was validated by quantifying the amount of manual correction required after automated segmentation of 98 novel acquisitions. RESULTS Automated segmentation showed a good performance with a mean Dice Similarity Coefficient (DSC) of 0.82±0.13 with manual segmentation and a substantial concordance between VDE calculations. Major manual corrections (i.e., DSC<0.7) were necessary only in 3/98 cases and 81% of the cases had a DSC>0.9. CONCLUSION The proposed automated segmentation algorithm can successfully segment DLGG on highly variable MRI data. Although manual corrections are sometimes necessary, it provides a reliable, standardized and time-winning support for VDE extraction to asses DLGG growth.
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Affiliation(s)
- Margaux Verdier
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France.
| | - Jeremy Deverdun
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France
| | - Nicolas Menjot de Champfleur
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France; Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France; Laboratoire Charles Coulomb, University of Montpellier, France
| | - Hugues Duffau
- Department of Neurosurgery, Montpellier University Medical Center, Montpellier, France; Institute for Neuroscience of Montpellier, INSERM U1051, Montpellier University Medical Center, Montpellier, France
| | - Philippe Lam
- Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France
| | - Thomas Dos Santos
- Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France
| | | | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland; LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Till Huelnhagen
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland; LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Emmanuelle Le Bars
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France; Department of Neuroradiology, Montpellier University Medical Center, Montpellier, France
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Paunet T, Mariano-Goulart D, Deverdun J, Le Bars E, Fourcade M, Kucharczak F. Functional PET Neuroimaging in Consciousness Evaluation: Study Protocol. Diagnostics (Basel) 2023; 13:2026. [PMID: 37370921 DOI: 10.3390/diagnostics13122026] [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: 05/05/2023] [Revised: 06/05/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
Ensuring a robust and reliable evaluation of coma deepness and prognostication of neurological outcome is challenging. We propose to develop PET neuroimaging as a new diagnostic and prognosis tool for comatose patients using a recently published methodology to perform functional PET (fPET). This exam permits the quantification of task-specific changes in neuronal metabolism in a single session. The aim of this protocol is to determine whether task-specific changes in glucose metabolism during the acute phase of coma are able to predict recovery at 18 months. Participation will be proposed for all patients coming for a standard PET-CT in our center in order to evaluate global cerebral metabolism during the comatose state. Legally appointed representative consent will be obtained to slightly modify the exam protocol: (1) 18F-fluorodeoxyglucose (18F-FDG) bolus plus continuous infusion instead of a simple bolus and (2) more time under camera to perform dynamic acquisition. Participants will undergo a 55-min fPET session with a 20% bolus + 80% infusion protocol. Two occurrences of three block (5-min rest, 10-min auditory stimulation and 10-min emotional auditory stimulation) will be performed after reaching equilibrium of FDG arterial concentration. We will compare the regional brain metabolism at rest and during the sessions of auditory and emotional auditory stimulation to search for a determinant of coma recovery (18 months of follow-up after the exam). Emotional auditory stimulation should induce an activation of: the auditory cortex, the consciousness areas and the neural circuitry for emotion (function to coma deepness). An activation analysis will be carried out to highlight regional brain activation using dedicated custom-made software based on Python statistical and image processing toolboxes. The association between activation levels and the Coma Recovery Scale-Revisited (CRS-R) will be assessed using multivariate analysis. If successful, the results from this study will help improve coma prognosis evaluation based on the pattern of neuronal metabolism at the onset of the pathology. The study protocol, rationale and methods are described in this paper.
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Affiliation(s)
- Tom Paunet
- Department of Nuclear Medicine, Gui de Chauliac Hospital, Montpellier University Hospital Center, University of Montpellier, 34090 Montpellier, France
| | - Denis Mariano-Goulart
- Department of Nuclear Medicine, Gui de Chauliac Hospital, Montpellier University Hospital Center, University of Montpellier, 34090 Montpellier, France
| | - Jeremy Deverdun
- I2FH, Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Hospital Center, University of Montpellier, 34090 Montpellier, France
| | - Emmanuelle Le Bars
- I2FH, Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Hospital Center, University of Montpellier, 34090 Montpellier, France
| | - Marjolaine Fourcade
- Department of Nuclear Medicine, Gui de Chauliac Hospital, Montpellier University Hospital Center, University of Montpellier, 34090 Montpellier, France
| | - Florentin Kucharczak
- Department of Nuclear Medicine, Gui de Chauliac Hospital, Montpellier University Hospital Center, University of Montpellier, 34090 Montpellier, France
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Burkhardt E, Zemmoura I, Hirsch F, Lemaitre AL, Deverdun J, Moritz-Gasser S, Duffau H, Herbet G. The central role of the left inferior longitudinal fasciculus in the face-name retrieval network. Hum Brain Mapp 2023; 44:3254-3270. [PMID: 37051699 PMCID: PMC10171495 DOI: 10.1002/hbm.26279] [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: 09/02/2022] [Revised: 02/18/2023] [Accepted: 03/06/2023] [Indexed: 04/14/2023] Open
Abstract
Unsuccessful retrieval of proper names (PNs) is commonly observed in patients suffering from neurological conditions such as stroke or epilepsy. While a large body of works has suggested that PN retrieval relies on a cortical network centered on the left anterior temporal lobe (ATL), much less is known about the white matter connections underpinning this process. Sparse studies provided evidence for a possible role of the uncinate fasciculus, but the inferior longitudinal fasciculus (ILF) might also contribute, since it mainly projects into the ATL, interconnects it with the posterior lexical interface and is engaged in common name (CN) retrieval. To ascertain this hypothesis, we assessed 58 patients having undergone a neurosurgery for a left low-grade glioma by means of a famous face naming (FFN) task. The behavioural data were processed following a multilevel lesion approach, including location-based analyses, voxel-based lesion-symptom mapping (VLSM) and disconnection-symptom mapping. Different statistical models were generated to control for sociodemographic data, familiarity, biographical knowledge and control cognitive performances (i.e., semantic and episodic memory and CN retrieval). Overall, VLSM analyses indicated that damage to the mid-to-anterior part of the ventro-basal temporal cortex was especially associated with PN retrieval deficits. As expected, tract-oriented analyses showed that the left ILF was the most strongly associated pathway. Our results provide evidence for the pivotal role of the ILF in the PN retrieval network. This novel finding paves the way for a better understanding of the pathophysiological bases underlying PN retrieval difficulties in the various neurological conditions marked by white matter abnormalities.
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Affiliation(s)
- Eléonor Burkhardt
- Praxiling Laboratory, UMR5267, CNRS & Paul Valéry University, Montpellier, France
| | - Ilyess Zemmoura
- UMR1253, iBrain, University of Tours, INSERM, Tours, France
- Department of Neurosurgery, Bretonneau Hospital, CHRU de Tours, Tours, France
| | - Fabrice Hirsch
- Praxiling Laboratory, UMR5267, CNRS & Paul Valéry University, Montpellier, France
| | - Anne-Laure Lemaitre
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Jeremy Deverdun
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Sylvie Moritz-Gasser
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Hugues Duffau
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Guillaume Herbet
- Praxiling Laboratory, UMR5267, CNRS & Paul Valéry University, Montpellier, France
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
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Belkacemi Z, Dokkum LV, Deverdun J, Champfleur NMD, Tchechmedjiev A, Mottet D, Bars EL. Interet du couplage irm fonctionnelle et capture du mouvement dans l'evaluation de la recuperation motrice post-avc. J Neuroradiol 2023. [DOI: 10.1016/j.neurad.2023.01.042] [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: 03/03/2023]
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Campos AI, Van Velzen LS, Veltman DJ, Pozzi E, Ambrogi S, Ballard ED, Banaj N, Başgöze Z, Bellow S, Benedetti F, Bollettini I, Brosch K, Canales-Rodríguez EJ, Clarke-Rubright EK, Colic L, Connolly CG, Courtet P, Cullen KR, Dannlowski U, Dauvermann MR, Davey CG, Deverdun J, Dohm K, Erwin-Grabner T, Goya-Maldonado R, Fani N, Fortea L, Fuentes-Claramonte P, Gonul AS, Gotlib IH, Grotegerd D, Harris MA, Harrison BJ, Haswell CC, Hawkins EL, Hill D, Hirano Y, Ho TC, Jollant F, Jovanovic T, Kircher T, Klimes-Dougan B, le Bars E, Lochner C, McIntosh AM, Meinert S, Mekawi Y, Melloni E, Mitchell P, Morey RA, Nakagawa A, Nenadić I, Olié E, Pereira F, Phillips RD, Piras F, Poletti S, Pomarol-Clotet E, Radua J, Ressler KJ, Roberts G, Rodriguez-Cano E, Sacchet MD, Salvador R, Sandu AL, Shimizu E, Singh A, Spalletta G, Steele JD, Stein DJ, Stein F, Stevens JS, Teresi GI, Uyar-Demir A, van der Wee NJ, van der Werff SJ, van Rooij SJ, Vecchio D, Verdolini N, Vieta E, Waiter GD, Whalley H, Whittle SL, Yang TT, Zarate CA, Thompson PM, Jahanshad N, van Harmelen AL, Blumberg HP, Schmaal L, Rentería ME. Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohorts. Neuropsychology 2023; 37:315-329. [PMID: 37011159 PMCID: PMC10132776 DOI: 10.1037/neu0000850] [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] [Indexed: 04/05/2023] Open
Abstract
OBJECTIVE A major limitation of current suicide research is the lack of power to identify robust correlates of suicidal thoughts or behavior. Variation in suicide risk assessment instruments used across cohorts may represent a limitation to pooling data in international consortia. METHOD Here, we examine this issue through two approaches: (a) an extensive literature search on the reliability and concurrent validity of the most commonly used instruments and (b) by pooling data (N ∼ 6,000 participants) from cohorts from the Enhancing NeuroImaging Genetics Through Meta-Analysis (ENIGMA) Major Depressive Disorder and ENIGMA-Suicidal Thoughts and Behaviour working groups, to assess the concurrent validity of instruments currently used for assessing suicidal thoughts or behavior. RESULTS We observed moderate-to-high correlations between measures, consistent with the wide range (κ range: 0.15-0.97; r range: 0.21-0.94) reported in the literature. Two common multi-item instruments, the Columbia Suicide Severity Rating Scale and the Beck Scale for Suicidal Ideation were highly correlated with each other (r = 0.83). Sensitivity analyses identified sources of heterogeneity such as the time frame of the instrument and whether it relies on self-report or a clinical interview. Finally, construct-specific analyses suggest that suicide ideation items from common psychiatric questionnaires are most concordant with the suicide ideation construct of multi-item instruments. CONCLUSIONS Our findings suggest that multi-item instruments provide valuable information on different aspects of suicidal thoughts or behavior but share a modest core factor with single suicidal ideation items. Retrospective, multisite collaborations including distinct instruments should be feasible provided they harmonize across instruments or focus on specific constructs of suicidality. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Adrian I. Campos
- Department of Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Laura S. Van Velzen
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Dick J. Veltman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Elena Pozzi
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Sonia Ambrogi
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Elizabeth D. Ballard
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Zeynep Başgöze
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Sophie Bellow
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Francesco Benedetti
- IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Irene Bollettini
- IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy and CMBB, University of Marburg, Marburg, Germany
| | - Erick J. Canales-Rodríguez
- FIDMAG Germanes Hospitalaries research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
- Signal Processing Laboratory (LTS5), EPFL, Lausanne, Switzerland
| | | | - Lejla Colic
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- German Center for Mental Health, Halle-Jena-Magdeburg, Germany
| | - Colm G. Connolly
- Magnetic Resonance Imaging Facility and Department of Biomedical Sciences, Florida State University, Tallahassee, FL, USA
| | - Philippe Courtet
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Kathryn R. Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Maria R. Dauvermann
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- King’s College London, London, United Kingdom
| | - Christopher G. Davey
- Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Jeremy Deverdun
- Institut d'Imagerie Fonctionnelle Humaine, I2FH, Montpellier University Hospital Center, Gui de Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tracy Erwin-Grabner
- Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab), Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Von-Siebold-Str. 5, 37075 Goettingen, Germany
| | - Roberto Goya-Maldonado
- Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab), Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Von-Siebold-Str. 5, 37075 Goettingen, Germany
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Lydia Fortea
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | | | - Ali Saffet Gonul
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, Izmir, Turkey
- Department of Neuroscience, Institute of Health Sciences, Ege University, Izmir, Turkey
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Mercer University Macon, GA, USA
| | - Ian H. Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Mathew A. Harris
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Ben J. Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Courtney C. Haswell
- Brain Imaging and Analysis Center, Duke University School of Medicine. Durham, NC, USA
| | - Emma L. Hawkins
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Dawson Hill
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Tiffany C. Ho
- Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
- Department of Psychology, Stanford University, Stanford, CA
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA
| | - Fabrice Jollant
- Université de Paris, Paris, France
- GHU Paris Psychiatrie et Neurosciences, France
- McGill university, McGill Group for Suicide Studies, Montréal, Canada
- CHU Nîmes, department of psychiatrie, France
- Universitätsklinikum Jena, Germany
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy and CMBB, University of Marburg, Marburg, Germany
| | | | - Emmanuelle le Bars
- Institut d'Imagerie Fonctionnelle Humaine, I2FH, Montpellier University Hospital Center, Gui de Chauliac Hospital, University of Montpellier, Montpellier, France
- Department of Neuroradiology, Montpellier University Hospital, Gui de Chauliac Hospital, Montpellier, France
| | - Christine Lochner
- SAMRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry, Stellenbosch University, South Africa
| | - Andrew M. McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Yara Mekawi
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Elisa Melloni
- IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Philip Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Rajendra A. Morey
- Brain Imaging and Analysis Center, Duke University School of Medicine. Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine. Durham, NC, USA
| | - Akiko Nakagawa
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy and CMBB, University of Marburg, Marburg, Germany
| | - Emilie Olié
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Fabricio Pereira
- Departments of Radiology and Psychiatry, University Hospital Center of Nîmes, France
- MIPA, University of Nîmes, France
| | - Rachel D. Phillips
- Brain Imaging and Analysis Center, Duke University School of Medicine. Durham, NC, USA
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Sara Poletti
- IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalaries research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
| | - Joaquim Radua
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kerry J. Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
- McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Elena Rodriguez-Cano
- FIDMAG Germanes Hospitalaries research Foundation, Barcelona, Spain
- Benito Menni CASM, Sant Boi de Llobregat, Spain
| | - Matthew D. Sacchet
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Raymond Salvador
- FIDMAG Germanes Hospitalaries research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
| | - Anca-Larisa Sandu
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Aditya Singh
- Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab), Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Von-Siebold-Str. 5, 37075 Goettingen, Germany
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, U.S.A
| | - J. Douglas Steele
- Division of Imaging Science and Technology, Medical School, University of Dundee, Dundee, UK
| | - Dan J. Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy and CMBB, University of Marburg, Marburg, Germany
| | - Jennifer S. Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Giana I. Teresi
- Department of Psychology, Stanford University, Stanford, CA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Aslihan Uyar-Demir
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, Izmir, Turkey
| | - Nic J. van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- ResearchTheme Neuroscience and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Sanne J.H. van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Norma Verdolini
- Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Gordon D. Waiter
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Heather Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Sarah L. Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Tony T. Yang
- Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Carlos A. Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anne-Laura van Harmelen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Social Security and Resilience Programme, Education and Child Studies, Leiden University, Leiden, the Netherlands
| | - Hilary P. Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine
- Child Study Center, Yale School of Medicine
| | - Lianne Schmaal
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Miguel E. Rentería
- Department of Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
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6
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Ng S, Deverdun J, Lemaitre AL, Giampiccolo D, Bars EL, Moritz-Gasser S, Menjot de Champfleur N, Duffau H, Herbet G. Precuneal gliomas promote behaviorally relevant remodeling of the functional connectome. J Neurosurg 2022:1-11. [PMID: 36308476 DOI: 10.3171/2022.9.jns221723] [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: 07/25/2022] [Accepted: 09/08/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The precuneus hosts one of the most complex patterns of functional connectivity in the human brain. However, due to the extreme rarity of neurological lesions specifically targeting this structure, it remains unknown how focal damage to the precuneus may impact resting-state functional connectivity (rsFC) at the brainwide level. The aim of this study was to investigate glioma-induced rsFC modulations and to identify patterns of rsFC remodeling that accounted for the maintenance of cognitive performance after awake-guided surgical excision. METHODS In a unique series of patients with IDH1-mutated low-grade gliomas (LGGs) infiltrating the precuneus who were treated at a single neurosurgical center (Montpellier University Medical Center, 2014-2021), the authors gauged the dynamic modulations induced by tumors on rsFC in comparison with healthy participants. All patients received a preoperative resting-state functional MRI and underwent operation guided by awake cognitive mapping. Connectome multivariate pattern analysis (MVPA), seed-network analysis, and graph theoretical analysis were conducted and correlated to executive neurocognitive scores (i.e., phonological and semantic fluencies, Trail-Making Test [TMT] parts A and B) obtained 3 months after surgery. RESULTS Seventeen patients with focal precuneal infiltration were selected (mean age 38.1 ± 11.2 years) and matched to 17 healthy participants (mean age 40.5 ± 10.4 years) for rsFC analyses. All patients underwent awake cognitive mapping, allowing total resection (n = 3) or subtotal resection (n = 14), with a mean extent of resection of 90.6% ± 7.3%. Using MVPA (cluster threshold: p-false discovery rate corrected < 0.05, voxel threshold: p-uncorrected < 0.001), remote hotspots with significant rsFC changes were identified, including both insulas, the anterior cingulate cortex, superior sensorimotor cortices, and both frontal eye fields. Further seed-network analyses captured 2 patterns of between-network redistribution especially involving hyperconnectivity between the salience, visual, and dorsal attentional networks. Finally, the global efficiency of the salience-visual-dorsal attentional networks was strongly and positively correlated to 3-month postsurgical scores (n = 15) for phonological fluency (r15 = 0.74, p = 0.0027); TMT-A (r15 = 0.65, p = 0.012); TMT-B (r15 = 0.70, p = 0.005); and TMT-B-A (r15 = 0.62, p = 0.018). CONCLUSIONS In patients with LGGs infiltrating the precuneus, remote and distributed functional connectivity modulations in the preoperative setting are associated with better maintenance of cognitive performance after surgery. These findings provide a new vision of the mechanistic principles underlying neural plasticity and cognitive compensation in patients with LGGs.
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Affiliation(s)
- Sam Ng
- Departments of1Neurosurgery and
- 2Team "Neuroplasticity, Stem Cells and Low-grade Gliomas," Institute of Functional Genomics of Montpellier, University of Montpellier, CNRS, INSERM, Montpellier
| | - Jeremy Deverdun
- 3I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- 4Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier
| | - Anne-Laure Lemaitre
- Departments of1Neurosurgery and
- 2Team "Neuroplasticity, Stem Cells and Low-grade Gliomas," Institute of Functional Genomics of Montpellier, University of Montpellier, CNRS, INSERM, Montpellier
| | - Davide Giampiccolo
- 5Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London
- 6Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London; and
- 7Department of Neurosurgery, Institute of Neurosciences, Cleveland Clinic London, United Kingdom
| | - Emmanuelle Le Bars
- 3I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- 4Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier
| | - Sylvie Moritz-Gasser
- Departments of1Neurosurgery and
- 2Team "Neuroplasticity, Stem Cells and Low-grade Gliomas," Institute of Functional Genomics of Montpellier, University of Montpellier, CNRS, INSERM, Montpellier
| | - Nicolas Menjot de Champfleur
- 3I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- 4Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier
| | - Hugues Duffau
- Departments of1Neurosurgery and
- 2Team "Neuroplasticity, Stem Cells and Low-grade Gliomas," Institute of Functional Genomics of Montpellier, University of Montpellier, CNRS, INSERM, Montpellier
| | - Guillaume Herbet
- Departments of1Neurosurgery and
- 2Team "Neuroplasticity, Stem Cells and Low-grade Gliomas," Institute of Functional Genomics of Montpellier, University of Montpellier, CNRS, INSERM, Montpellier
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7
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Gentreau M, Reynes C, Sabatier R, Maller JJ, Meslin C, Deverdun J, Le Bars E, Raymond M, Berticat C, Artero S. Glucometabolic Changes Are Associated with Structural Gray Matter Alterations in Prodromal Dementia. J Alzheimers Dis 2022; 89:1293-1302. [PMID: 36031896 DOI: 10.3233/jad-220490] [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: 11/15/2022]
Abstract
BACKGROUND Glucometabolic changes, such as high glycemic load (GL) diet and insulin resistance (IR), are potential risk factor of Alzheimer's disease (AD). Yet, the effect of these factors on brain alterations that contribute to AD pathology has not been clearly demonstrated. OBJECTIVE We aimed to assess the relationship of GL and IR with gray matter volumes involved in prodromal dementia. METHODS GL and Triglyceride-Glucose (TyG) index, an IR surrogate marker, were calculated in 497 participants who underwent magnetic resonance imaging (MRI). The gray matter volumes most related to prodromal dementia/mild cognitive impairment (diagnosed in 18/158 participants during the 7-year follow-up) were identified using a data-driven machine learning algorithm. RESULTS Higher GL diet was associated with reduced amygdala volume. The TyG index was negatively associated with the hippocampus, amygdala, and putamen volumes. CONCLUSION These results suggest that GL and IR are associated with lower gray matter volumes in brain regions involved in AD pathology.
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Affiliation(s)
- Mélissa Gentreau
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | | | - Robert Sabatier
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Jerome J Maller
- Monash Alfred Psychiatry Research Centre, Melbourne, Victoria, Australia.,General Electric Healthcare, Richmond, Melbourne, Australia
| | - Chantal Meslin
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - Jeremy Deverdun
- I2FH, Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Emmanuelle Le Bars
- I2FH, Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Michel Raymond
- ISEM, University of Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Claire Berticat
- ISEM, University of Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Sylvaine Artero
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
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8
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Roux A, Lemaitre AL, Deverdun J, Ng S, Duffau H, Herbet G. Combining Electrostimulation With Fiber Tracking to Stratify the Inferior Fronto-Occipital Fasciculus. Front Neurosci 2021; 15:683348. [PMID: 34093122 PMCID: PMC8172990 DOI: 10.3389/fnins.2021.683348] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 03/20/2021] [Accepted: 04/23/2021] [Indexed: 12/13/2022] Open
Abstract
The inferior fronto-occipital fasciculus (IFOF) is one of the longest association fiber tracts of the brain. According to the most recent anatomical studies, it may be formed by several layers, suggesting a role in multiple cognitive functions. However, to date, no attempt has been made to dissociate the functional contribution of the IFOF subpathways. In this study, real-time, cortico-subcortical mapping with direct electrostimulation was performed in 111 patients operated on in wide-awake surgery for a right low-grade glioma. Patients performed two behavioral tasks during stimulation, tapping, respectively, mentalizing and visual semantic cognition-two functions supposed to be partly mediated by the IFOF. Responsive white matter sites were first subjected to a clustering analysis to assess potential topological differences in network organization. Then they were used as seeds to generate streamline tractograms based on the HC1021 diffusion dataset (template-based approach). The tractograms obtained for each function were overlapped and contrasted to determine whether some fiber pathways were more frequently involved in one or the other function. The obtained results not only provided strong evidence for a role of the right IFOF in both functions, but also revealed that the tract is dissociable into two functional strata according to a ventral (semantic) and dorsal (mentalizing) compartmentalization. Besides, they showed a high degree of anatomo-functionnal variability across patients in the functional implication of the IFOF, possibly related to symmetrical/hemispheric differences in network organization. Collectively, these findings support the view that the right IFOF is a functionally multi-layered structure, with nevertheless interindividual variations.
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Affiliation(s)
- Alexandre Roux
- Department of Neurosurgery, GHU Paris, Sainte-Anne Hospital, Paris, France.,Université de Paris, Sorbonne Paris Cité, Paris, France.,Inserm UMR 1266, IMA-Brain, Institute of Psychiatry and Neurosciences of Paris, Paris, France
| | - Anne-Laure Lemaitre
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Jeremy Deverdun
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Sam Ng
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.,Institute of Functional Genomics, University of Montpellier, INSERM, CNRS, Montpellier, France
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.,Institute of Functional Genomics, University of Montpellier, INSERM, CNRS, Montpellier, France
| | - Guillaume Herbet
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.,Institute of Functional Genomics, University of Montpellier, INSERM, CNRS, Montpellier, France
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9
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Olié E, Husky M, Bars EL, Deverdun J, de Champfleur NM, Crespo AA, Swendsen J, Courtet P. Prefrontal activity during experimental ostracism and daily psychache in suicide attempters. J Affect Disord 2021; 285:63-68. [PMID: 33636672 DOI: 10.1016/j.jad.2021.01.087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/12/2021] [Accepted: 01/31/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Suicidal behaviors can result from a complex interaction between social stressors and individual vulnerability. Evidence suggests a specific neural processing of social cues in suicide attempters without knowledge of how it relates to real-world experiences. OBJECTIVE To investigate the association between brain activity during experimental social exclusion (measured by functional MRI) and psychological pain in daily life (assessed by Ecological Momentary Assessment) in patients with a lifetime history of suicide attempt. METHODS Thirty-three euthymic females with a history of a major depressive episode were recruited: 13 suicide attempters and 20 affective controls (no history of suicide attempt). Functional MRI scans were acquired while participants played the Cyberball game, a validated social exclusion paradigm. After fMRI, participants completed EMA for a one-week period. Five times per day, they were asked to rate their psychological pain, hopelessness and the negativity of daily events. EMA indices (psychological pain, hopelessness and their interaction with negative events) were correlated with cerebral activations using a ROI approach (orbitofrontal, dorsal and ventrolateral prefrontal cortices, anterior cingulate cortex and insula) in each group. RESULTS We found a negative correlation between daily ratings of psychological pain and orbitofrontal activation for exclusion versus inclusion during the Cyberball game in suicide attempters but not in affective controls. We did not find correlations between cerebral activation and daily hopelessness ratings. LIMITATIONS Small sample size CONCLUSION: Scanner-based orbitofrontal activity during social exclusion relates to psychological pain in daily life which participates in suicide risk among vulnerable individuals.
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Affiliation(s)
- Emilie Olié
- IGF, Univ Montpellier, CNRS-INSERM, Montpellier, France; Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France.
| | - Mathilde Husky
- Laboratoire de psychologie, EA4139, UNiversité de Bordeaux, Bordeaux, France
| | - Emmanuelle Le Bars
- Department of Neuroradiology, Academic Hospital of Montpellier & U1051, Institut of Neurosciences of Montpellier, Montpellier, France; I2FH, Institut d'Imagerie Fonctionnelle Humaine, Montpellier University Hospital, Gui de Chauliac Hospital, Montpellier, France
| | - Jeremy Deverdun
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Montpellier University Hospital, Gui de Chauliac Hospital, Montpellier, France
| | - Nicolas Menjot de Champfleur
- Department of Neuroradiology, Academic Hospital of Montpellier & U1051, Institut of Neurosciences of Montpellier, Montpellier, France; I2FH, Institut d'Imagerie Fonctionnelle Humaine, Montpellier University Hospital, Gui de Chauliac Hospital, Montpellier, France
| | - Adrian Alacreu Crespo
- IGF, Univ Montpellier, CNRS-INSERM, Montpellier, France; Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - Joel Swendsen
- EPHE PSL Research University, University of Bordeaux CNRS 5287, Institut Universitaire de France
| | - Philippe Courtet
- IGF, Univ Montpellier, CNRS-INSERM, Montpellier, France; Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
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10
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Benali A, Moynier M, Dargazanli C, Deverdun J, Cagnazzo F, Mourand I, Bonafe A, Arquizan C, Derraz I, Menjot de Champfleur N, Molino F, Ducros A, Le Bars E, Costalat V. Mechanical Thrombectomy in Nighttime Hours: Is There a Difference in 90-Day Clinical Outcome for Patients with Ischemic Stroke? AJNR Am J Neuroradiol 2021; 42:530-537. [PMID: 33478943 DOI: 10.3174/ajnr.a6997] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 05/04/2020] [Accepted: 10/05/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Few data are available regarding the influence of the timing of ischemic stroke management, such as daytime and nighttime hours, on the delay of mechanical thrombectomy, the effectiveness of revascularization, and clinical outcomes. We aimed to investigate whether admission during nighttime hours could impact the clinical outcome (mRS at 90 days) of patients with acute ischemic stroke treated by mechanical thrombectomy. MATERIALS AND METHODS We retrospectively analyzed 169 patients (112 treated during daytime hours and 57 treated during nighttime hours) with acute ischemic stroke in the anterior cerebral circulation. The main outcome was the rate of patients achieving functional independence at 90 days (mRS ≤2), depending on admission time. RESULTS In patients admitted during nighttime hours, the rate of mRS ≤ 2 at 90 days was significantly higher (51% versus 35%, P = .05) compared with those admitted in daytime hours. Patients in daytime and nighttime hours were comparable regarding admission and treatment characteristics. However, patients in nighttime hours tended to have a higher median NIHSS score at admission (P = .08) and to be younger (P = .08), especially among the mothership group (P = .09). The multivariate logistic regression analysis confirmed that patients in nighttime hours had better functional outcomes at 90 days than those in daytime hours (P = .018; 95% CI, 0.064-0.770; OR = 0.221). CONCLUSIONS In a highly organized stroke care network, mechanical thrombectomy is quite effective in the nighttime hours among acute ischemic stroke presentations. Unexpectedly, we found that those patients achieved favorable clinical outcomes more frequently than those treated during daytime hours. Larger series are needed to confirm these results.
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Affiliation(s)
- A Benali
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - M Moynier
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - C Dargazanli
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - J Deverdun
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - F Cagnazzo
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - I Mourand
- Neurology (I.M., C.A., A.D.), Gui de Chauliac Hospital, Montpellier, France
| | - A Bonafe
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - C Arquizan
- Neurology (I.M., C.A., A.D.), Gui de Chauliac Hospital, Montpellier, France
| | - I Derraz
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - N Menjot de Champfleur
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - F Molino
- Department of Physics (F.M.), Charles Coulomb Laboratory, Montpellier, France
| | - A Ducros
- Neurology (I.M., C.A., A.D.), Gui de Chauliac Hospital, Montpellier, France
| | - E Le Bars
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
| | - V Costalat
- From the Departments of Neuroradiology (A.B., M.M., C.D., J.D., F.C., A.B., I.D., N.M.d.C., E.L.B., V.C.)
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11
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Deverdun J, Coget A, Ayrignac X, Carra-Dalliere C, Krainik A, Metzger A, Labauge P, Menjot de Champfleur N, Le Bars E. Cerebral Vasoreactivity as an Indirect MRI Marker of White Matter Tracts Alterations in Multiple Sclerosis. Brain Topogr 2021; 34:245-255. [PMID: 33484378 DOI: 10.1007/s10548-021-00819-3] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 01/06/2021] [Indexed: 02/02/2023]
Abstract
Patients with multiple sclerosis (MS) show a diffuse cerebral perfusion decrease, presumably related to multiple metabolism and vascular alterations. It is assumed that white matter fiber alterations cause a localized cerebral vasoreactivity (CVR) disruption through astrocytes metabolism alteration, leading to hypoperfusion. We proposed to (1) evaluate the CVR disruptions in MS, (2) in relation to white matter lesions and (3) compare CVR disruptions maps with standard imaging biomarkers. Thirty-five MS patients (10 progressive, 25 relapsing-remitting) and 22 controls underwent MRI with hypercapnic challenge, DTI imaging and neuropsychological assessment. Areas with disrupted CVR were assessed using a general linear model. Resulting maps were associated with clinical scores, compared between groups, and related to DTI metrics and white matter lesions. MS patients showed stronger disrupted CVR within supratentorial white matter, linking the left anterior insula to both the precentral gyrus and the right middle and superior frontal gyrus through the corpus callosum (P < 0.05, FWE corrected). Patient's verbal intellectual quotient was negatively associated with a pathway linking both hippocampi to the ispilateral prefrontal cortex (P < 0.05, FWE corrected). Disrupted CVR maps unrelated to DTI metrics and white matter lesions. We have demonstrated for the first time that white matter alterations can be indirectly identified through surrounding vessel alterations, and are related to clinical signs of MS. This offers a new, likely independent marker to monitor MS and supports a mediator role of the astrocytes in the fibers/vessels relationship.
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Affiliation(s)
- Jeremy Deverdun
- Department of Neuroradiology, University Hospital Center, I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, 80 Avenue Augustin Fliche, 34295 Cedex 5, Montpellier, France.
| | - Arthur Coget
- Department of Neuroradiology, University Hospital Center, I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, 80 Avenue Augustin Fliche, 34295 Cedex 5, Montpellier, France
- Department of Neuroradiology, Montpellier University Hospital, Gui de Chauliac Hospital, Montpellier, France
- Laboratoire Charles Coulomb, University of Montpellier, 34095, Montpellier, France
| | - Xavier Ayrignac
- Department of Neurology, MS Center and National Reference Center of Adult Leukodystrophies, Montpellier University Hospital, 34 295 Cedex 5, Montpellier, France
| | - Clarisse Carra-Dalliere
- Department of Neurology, MS Center and National Reference Center of Adult Leukodystrophies, Montpellier University Hospital, 34 295 Cedex 5, Montpellier, France
| | - Alexandre Krainik
- Department of Neuroradiology and MRI, Grenoble Institute of Neurosciences, INSERM U836, UMS IRMaGe, Grenoble University Hospital, University Grenoble Alps, Grenoble, France
- Department of Pediatrics, Bordeaux University Hospital, Bordeaux, France
| | - Aude Metzger
- Department of neuro -ophthalmology and neuro cognition, Pierre Wertheimer University Hospital, 69500, Bron, France
| | - Pierre Labauge
- Department of Neurology, MS Center and National Reference Center of Adult Leukodystrophies, Montpellier University Hospital, 34 295 Cedex 5, Montpellier, France
| | - Nicolas Menjot de Champfleur
- Department of Neuroradiology, University Hospital Center, I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, 80 Avenue Augustin Fliche, 34295 Cedex 5, Montpellier, France
- Department of Neuroradiology, Montpellier University Hospital, Gui de Chauliac Hospital, Montpellier, France
- Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors", INSERM U1051, Institute of Neurosciences of Montpellier, Montpellier, France
- Laboratoire Charles Coulomb, University of Montpellier, 34095, Montpellier, France
| | - Emmanuelle Le Bars
- Department of Neuroradiology, University Hospital Center, I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, 80 Avenue Augustin Fliche, 34295 Cedex 5, Montpellier, France
- Department of Neuroradiology, Montpellier University Hospital, Gui de Chauliac Hospital, Montpellier, France
- Laboratoire Charles Coulomb, University of Montpellier, 34095, Montpellier, France
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12
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Almairac F, Deverdun J, Cochereau J, Coget A, Lemaitre AL, Moritz-Gasser S, Duffau H, Herbet G. Homotopic redistribution of functional connectivity in insula-centered diffuse low-grade glioma. Neuroimage Clin 2021; 29:102571. [PMID: 33508623 PMCID: PMC7840474 DOI: 10.1016/j.nicl.2021.102571] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 01/12/2021] [Accepted: 01/13/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE In the event of neural injury, the homologous contralateral brain areas may play a compensatory role to avoid or limit the functional loss. However, this dynamic strategy of functional redistribution is not clearly established, especially in the pathophysiological context of diffuse low-grade glioma. Our aim here was to assess the extent to which unilateral tumor infiltration of the insula dynamically modulates the functional connectivity of the contralesional one. METHODS Using resting-state functional connectivity MRI, a seed-to-ROI approach was employed in 52 insula-centered glioma patients (n = 30 left and 22 right) compared with 19 age-matched healthy controls. RESULTS Unsurprisingly, a significant decrease of the inter-insular connectivity was observed in both patient groups. More importantly, the analyses revealed a significant increase of the contralesional insular connectivity towards both cerebral hemispheres, especially in cortical areas forming the visual and the sensorimotor networks. This functional redistribution was not identified when the analyses were performed on three control regions for which the homologous area was not impaired by the tumor. This overall pattern of results indicates that massive infiltration of the insular cortex causes a significant redeployment of the contralesional functional connectivity. CONCLUSION This general finding suggests that the undamaged insula plays a role in the functional compensation usually observed in this patient population, and thus provides compelling support for the concept of homotopic functional plasticity in brain-damaged patients.
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Affiliation(s)
- Fabien Almairac
- Department of Neurosurgery, Pasteur 2 Hospital, Nice University Medical Center, Nice, France; Université Côte d'Azur, Nice, France
| | - Jeremy Deverdun
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France; Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Jérôme Cochereau
- Department of Neurosurgery, La Miletrie Hospital, Poitiers University Medical Center, Poitiers, France; Institute of Functional Genomics, INSERM 1191, University of Montpellier, France; University of Montpellier, Montpellier, France
| | - Arthur Coget
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France; Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Anne-Laure Lemaitre
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Sylvie Moritz-Gasser
- Institute of Functional Genomics, INSERM 1191, University of Montpellier, France; University of Montpellier, Montpellier, France; Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Hugues Duffau
- Institute of Functional Genomics, INSERM 1191, University of Montpellier, France; University of Montpellier, Montpellier, France; Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
| | - Guillaume Herbet
- Institute of Functional Genomics, INSERM 1191, University of Montpellier, France; University of Montpellier, Montpellier, France; Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.
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Dargazanli C, Zub E, Deverdun J, Decourcelle M, de Bock F, Labreuche J, Lefèvre PH, Gascou G, Derraz I, Riquelme Bareiro C, Cagnazzo F, Bonafé A, Marin P, Costalat V, Marchi N. Machine Learning Analysis of the Cerebrovascular Thrombi Proteome in Human Ischemic Stroke: An Exploratory Study. Front Neurol 2020; 11:575376. [PMID: 33240201 PMCID: PMC7678741 DOI: 10.3389/fneur.2020.575376] [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: 06/23/2020] [Accepted: 09/30/2020] [Indexed: 12/12/2022] Open
Abstract
Objective: Mechanical retrieval of thrombotic material from acute ischemic stroke patients provides a unique entry point for translational research investigations. Here, we resolved the proteomes of cardioembolic and atherothrombotic cerebrovascular human thrombi and applied an artificial intelligence routine to examine protein signatures between the two selected groups. Methods: We specifically used n = 32 cardioembolic and n = 28 atherothrombotic diagnosed thrombi from patients suffering from acute stroke and treated by mechanical thrombectomy. Thrombi proteins were successfully separated by gel-electrophoresis. For each thrombi, peptide samples were analyzed by nano-flow liquid chromatography coupled to tandem mass spectrometry (nano-LC-MS/MS) to obtain specific proteomes. Relative protein quantification was performed using a label-free LFQ algorithm and all dataset were analyzed using a support-vector-machine (SVM) learning method. Data are available via ProteomeXchange with identifier PXD020398. Clinical data were also analyzed using SVM, alone or in combination with the proteomes. Results: A total of 2,455 proteins were identified by nano-LC-MS/MS in the samples analyzed, with 438 proteins constantly detected in all samples. SVM analysis of LFQ proteomic data delivered combinations of three proteins achieving a maximum of 88.3% for correct classification of the cardioembolic and atherothrombotic samples in our cohort. The coagulation factor XIII appeared in all of the SVM protein trios, associating with cardioembolic thrombi. A combined SVM analysis of the LFQ proteome and clinical data did not deliver a better discriminatory score as compared to the proteome only. Conclusion: Our results advance the portrayal of the human cerebrovascular thrombi proteome. The exploratory SVM analysis outlined sets of proteins for a proof-of-principle characterization of our cohort cardioembolic and atherothrombotic samples. The integrated analysis proposed herein could be further developed and retested on a larger patients population to better understand stroke origin and the associated cerebrovascular pathophysiology.
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Affiliation(s)
- Cyril Dargazanli
- Institut de Génomique Fonctionnelle, Univ. Montpellier, UMR 5203 CNRS - U 1191 INSERM, Montpellier, France.,Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Emma Zub
- Institut de Génomique Fonctionnelle, Univ. Montpellier, UMR 5203 CNRS - U 1191 INSERM, Montpellier, France
| | - Jeremy Deverdun
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier, France
| | - Mathilde Decourcelle
- BioCampus Montpellier, CNRS, INSERM, Université de Montpellier, Montpellier, France
| | - Frédéric de Bock
- Institut de Génomique Fonctionnelle, Univ. Montpellier, UMR 5203 CNRS - U 1191 INSERM, Montpellier, France
| | - Julien Labreuche
- Santé Publique: Epidémiologie et Qualité des Soins, CHU Lille, University of Lille, Lille, France
| | - Pierre-Henri Lefèvre
- Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Grégory Gascou
- Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Imad Derraz
- Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Carlos Riquelme Bareiro
- Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Federico Cagnazzo
- Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Alain Bonafé
- Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Philippe Marin
- Institut de Génomique Fonctionnelle, Univ. Montpellier, UMR 5203 CNRS - U 1191 INSERM, Montpellier, France
| | - Vincent Costalat
- Institut de Génomique Fonctionnelle, Univ. Montpellier, UMR 5203 CNRS - U 1191 INSERM, Montpellier, France.,Diagnostic and Interventional Neuroradiology Department, Gui de Chauliac Hospital, Montpellier, France
| | - Nicola Marchi
- Institut de Génomique Fonctionnelle, Univ. Montpellier, UMR 5203 CNRS - U 1191 INSERM, Montpellier, France
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14
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Nadal J, Deverdun J, Champfleur NM, Carriere I, Creuzot‐Garcher C, Delcourt C, Chiquet C, Kawasaki R, Villain M, Ritchie K, Le Bars E, Daien V. Retinal vascular fractal dimension and cerebral blood flow, a pilot study. Acta Ophthalmol 2020; 98:e63-e71. [PMID: 31545560 DOI: 10.1111/aos.14232] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [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: 06/12/2018] [Accepted: 08/07/2019] [Indexed: 01/12/2023]
Abstract
PURPOSE Ocular and brain microcirculation share embryological and histological similarities. The retinal vascular fractal dimension (FD) is a marker of retinal vascular complexity of the vascular tree. The purpose of this study was to explore the relationship between cerebral blood flow (CBF), retinal vascular FD and other retinal vascular markers. METHODS Cross-sectional analysis comprising 26 individuals ≥65 years old from the Cognitive REServe and Clinical ENDOphenotype (CRESCENDO) cohort of relative healthy older adults. Retinal vascular FD was measured from fundus photographs by using the semi-automated Singapore Eye Vessel Assessment (SIVA) software. CBF was estimated using a 2D pulsed ASL MRI sequence. Associations between blood flow and retinal parameters were analysed using linear regression models adjusted for age and sex. RESULTS Cerebral blood flow was positively associated with venular FD (R2 = 0.32, p = 0.03). This association was stronger in the anterior versus posterior brain territories (R2 = 0.35 [p = 0.001] versus R2 = 0.16 [p = 0.07], respectively). Global CBF was correlated with arteriolar branching angle (R2 = 0.23, p = 0.01) and tortuosity (R2 = 0.20, p = 0.02). Global CBF was not correlated with other SIVA parameters. CONCLUSIONS Retinal venular complexity summarized by the FD was associated with cerebral blood flow as well as retinal arteriolar tortuosity and branching angle. Larger prospective clinical studies are needed to confirm these results.
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Affiliation(s)
- Jeremy Nadal
- Department of Ophthalmology Nîmes University Hospital Nîmes Cedex 9 France
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
| | - Jeremy Deverdun
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
| | - Nicolas Menjot Champfleur
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
- Department of Neuroradiology Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
- Laboratoire Charles Coulomb University of Montpellier Montpellier France
- Department of Medical Imaging Caremeau University Hospital Center Nimes France
| | - Isabelle Carriere
- Neuropsychiatry: Epidemiological and Clinical Research INSERM Université de Montpellier Montpellier France
| | - Catherine Creuzot‐Garcher
- Department of Ophthalmology Dijon University Hospital Dijon France
- Eye and Nutrition Research Group CSGA UMR 1324 INRA 6265 CNRS Burgundy University Dijon France
| | - Cécile Delcourt
- Bordeaux Population Health Research Center Team LEHA Inserm UMR 1219 Univ. Bordeaux Bordeaux France
| | - Christophe Chiquet
- Grenoble Alpes University Grenoble France
- Department of Ophthalmology University Hospital Grenoble France
| | - Ryo Kawasaki
- Department of Public Health Faculty of Medicine Yamagata University Yamagata Japan
- Osaka University Graduate School of Medicine Osaka Japan
| | - Max Villain
- Department of Ophthalmology Gui De Chauliac Hospital Montpellier France
| | - Karen Ritchie
- Neuropsychiatry: Epidemiological and Clinical Research INSERM Université de Montpellier Montpellier France
- Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
| | - Emmanuelle Le Bars
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
- Department of Neuroradiology Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
| | - Vincent Daien
- Neuropsychiatry: Epidemiological and Clinical Research INSERM Université de Montpellier Montpellier France
- Department of Ophthalmology Gui De Chauliac Hospital Montpellier France
- The Save Sight Institute Sydney Medical School The University of Sydney Sydney NSW Australia
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15
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van Dokkum LEH, Moritz Gasser S, Deverdun J, Herbet G, Mura T, D'Agata B, Picot MC, Menjot de Champfleur N, Duffau H, Molino F, le Bars E. Resting state network plasticity related to picture naming in low-grade glioma patients before and after resection. Neuroimage Clin 2019; 24:102010. [PMID: 31734532 PMCID: PMC6861733 DOI: 10.1016/j.nicl.2019.102010] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 09/09/2019] [Accepted: 09/17/2019] [Indexed: 12/01/2022]
Abstract
Patients post DLGG surgery use attentional resources to compensate deficit. Functional plasticity occurs at secondary regions at distance from the lesion. Picture naming requires the integration of multiple resting-state networks. The right hemisphere plays also an important role in language processing. A whole brain approach with clinical input in case of lesion is the way forward.
The dynamic connectome perspective states that brain functions arise from the functional integration of distributed and/or partly overlapping networks. Diffuse low-grade gliomas (DLGG) have a slow infiltrating character. Here we addressed whether and how anatomical disconnection following DLGG growth and resection might interfere with functional resting-state connectivity, specifically in relation to picture naming. Thirty-nine native French persons with a left DLGG were included. All underwent awake surgical resection of the tumor using direct brain electrostimulation to preserve critical eloquent regions. The anatomical disconnectivity risk following the DLGG volume and the resection, and the functional connectivity of resting-state fMRI images in relation to picture naming were evaluated prior to and three months after surgery. Resting-state connectivity patterns were compared with nineteen healthy controls. It was demonstrated that picture naming was strongly dependent on the semantic network that emerged from the integration and interaction of regions within multiple resting-state brain networks, in which their specific role could be explained in the light of the broader resting-state network they take part in. It emphasized the importance of a whole brain approach with specific clinical data input, during resting-state analysis in case of lesion. Adaptive plasticity was found in secondary regions, functionally connected to regions close to the tumor and/or cavity, marked by an increased connectivity of the right and left inferior parietal lobule with the left inferior temporal gyrus. In addition, an important role was identified for the superior parietal lobe, connected with the frontal operculum, suggesting functional compensation by means of attentional resources in order to name a picture via recruitment of the frontoparietal attention network.
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Affiliation(s)
- L E H van Dokkum
- I2FH, Institut d'Imagerie Fonctionelle Humaine, Montpellier University Hospital, Gui de Chauliac, 80 av. Augustin Fliche, 34295 Montpellier, France; Neuroradiology Department, Montpellier University Hospital, Gui de Chauliac, France.
| | - S Moritz Gasser
- Neurosurgery Department, Montpellier University Hospital, Gui de Chauliac, France; Team 'Plasticity of Central Nervous System, Stem Cells and Glial Tumors', INSERM U1051, Institute of Neuroscience Montpellier, France
| | - J Deverdun
- I2FH, Institut d'Imagerie Fonctionelle Humaine, Montpellier University Hospital, Gui de Chauliac, 80 av. Augustin Fliche, 34295 Montpellier, France; Neuroradiology Department, Montpellier University Hospital, Gui de Chauliac, France
| | - G Herbet
- Neurosurgery Department, Montpellier University Hospital, Gui de Chauliac, France; Team 'Plasticity of Central Nervous System, Stem Cells and Glial Tumors', INSERM U1051, Institute of Neuroscience Montpellier, France
| | - T Mura
- Epidemiology Department, Clinical Investigation Center, INSERM-CIC 1411, Montpellier University Hospital, France
| | - B D'Agata
- Epidemiology Department, Clinical Investigation Center, INSERM-CIC 1411, Montpellier University Hospital, France
| | - M C Picot
- Epidemiology Department, Clinical Investigation Center, INSERM-CIC 1411, Montpellier University Hospital, France
| | - N Menjot de Champfleur
- I2FH, Institut d'Imagerie Fonctionelle Humaine, Montpellier University Hospital, Gui de Chauliac, 80 av. Augustin Fliche, 34295 Montpellier, France; Neuroradiology Department, Montpellier University Hospital, Gui de Chauliac, France; Laboratoire Charles Coulomb, Montpellier University, France
| | - H Duffau
- Neurosurgery Department, Montpellier University Hospital, Gui de Chauliac, France; Team 'Plasticity of Central Nervous System, Stem Cells and Glial Tumors', INSERM U1051, Institute of Neuroscience Montpellier, France
| | - F Molino
- I2FH, Institut d'Imagerie Fonctionelle Humaine, Montpellier University Hospital, Gui de Chauliac, 80 av. Augustin Fliche, 34295 Montpellier, France; Laboratoire Charles Coulomb, Montpellier University, France
| | - E le Bars
- I2FH, Institut d'Imagerie Fonctionelle Humaine, Montpellier University Hospital, Gui de Chauliac, 80 av. Augustin Fliche, 34295 Montpellier, France; Neuroradiology Department, Montpellier University Hospital, Gui de Chauliac, France
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16
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Gentil A, Deverdun J, Menjot de Champfleur N, Puel JL, Le Bars E, Venail F. Alterations in Regional Homogeneity in Patients With Unilateral Chronic Tinnitus. Trends Hear 2019; 23:2331216519830237. [PMID: 30995887 DOI: 10.1177/2331216519830237] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 01/07/2023] Open
Abstract
Chronic subjective tinnitus is a widespread disorder. This perceptual anomaly is assumed to result from a dysbalance of excitatory and inhibitory mechanisms on different levels of the auditory pathways. However, the brain areas involved are still under discussion. Using resting-state functional magnetic resonance imaging, we investigate differences in cerebral regional homogeneity (ReHo) between patients with unilateral chronic tinnitus and nontinnitus control subjects. To our knowledge, our study is the first to investigate the intraregional connectivity of patients with unilateral tinnitus in relation to hearing loss. Our analyses, based on strict recruitment and characterization of the participants, showed reduced ReHo in the primary auditory cortex contralateral to the side of the perceived tinnitus percept in patients. Reduced ReHo in this same region was also correlated with increased Tinnitus Handicap Inventory and Visual Analogue Scale for loudness scores, reflecting an alteration of synchronization in this region related to the perceived loudness of the tinnitus and the related distress. Furthermore, increased ReHo in the supramarginal and angular gyri ipsilateral to the tinnitus side was correlated with increased tinnitus duration and hearing threshold at the tinnitus pitch. The correlations observed in these brain areas, which are normally related to the nontinnitus ear, could highlight compensatory mechanisms in these secondary auditory regions.
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Affiliation(s)
- Anthony Gentil
- 1 Institute for Neurosciences of Montpellier, France.,2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France
| | - Jeremy Deverdun
- 2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France
| | - Nicolas Menjot de Champfleur
- 2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France.,3 Laboratoire Charles Coulomb, Université de Montpellier, France
| | - Jean-Luc Puel
- 1 Institute for Neurosciences of Montpellier, France
| | - Emmanuelle Le Bars
- 2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France.,3 Laboratoire Charles Coulomb, Université de Montpellier, France
| | - Frédéric Venail
- 1 Institute for Neurosciences of Montpellier, France.,4 ENT Department, Hospital and University of Montpellier, France
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Deverdun J, Leboucq N, Pfeuffer J, Rivier F, Bousquet E, Benali A, Le Bars E. Phase Contrast MRI Suggests an Internal Carotid Vascular Tone Alteration in Migraines. Neuropediatrics 2019; 50:244-247. [PMID: 31170735 DOI: 10.1055/s-0039-1692215] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
INTRODUCTION Migraine is the most common neurological disorder and the third most common disease worldwide. However, the underlying mechanisms contributing to its development are not completely understood. Symptoms may arise from a combination of dilation-independent vascular events and neurogenic mechanisms interacting throughout the brain and within the trigeminovascular system in the meninges MATERIALS AND METHOD: We report here a case of a patient with a suspected familial hemiplegic migraine who presented an increased recurrence of events from one per month to one every other day. Three magnetic resonance imaging (MRI) acquisitions were performed after the appearance of a strong crisis which included a paresthesia and aphasia along with headaches. Two MRIs were performed close to the crisis, while the last one was done 1 month later. RESULTS During the crisis, cerebral perfusion exhibits incoherent results. Blood velocity measurements highlight a strong phase lag between left internal carotid artery (ICA) and basilar artery and more importantly right ICA. After a month, parameters came back to standard values. CONCLUSION The transitory nature of the observed modifications suggests a reversible alteration of the vascular tone of the ICA in patients with migraine. This alteration seems to follow recovery pattern of the patient.
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Affiliation(s)
- Jeremy Deverdun
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier, France
| | - Nicolas Leboucq
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France
| | - Josef Pfeuffer
- Siemens Healthcare, MR Applications Development, Erlangen, Germany
| | - François Rivier
- Neuropediatric Unit, Gui de Chauliac Center, Montpellier, France
| | - Elisa Bousquet
- Médecine psychologique Enfants et Adolescents, Saint Eloi Hospital, Montpellier, France
| | - Amel Benali
- Department of Neuroradiology, Gui de Chauliac Hospital, Montpellier, France.,Laboratoire Charles Coulomb, University of Montpellier, Montpellier, France
| | - Emmanuelle Le Bars
- I2FH, Institut d'Imagerie Fonctionnelle Humaine, Gui de Chauliac Hospital, Montpellier, France
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Benali A, Moynier M, Dargazanli C, Deverdun J, Costalat V, Le Bars E, Ducros A. La prise en charge endovasculaire de l’infarctus cérébral ischémique de nuit impacte-t-elle la récupération fonctionnelle à 3 mois ? J Neuroradiol 2019. [DOI: 10.1016/j.neurad.2019.01.066] [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: 10/27/2022]
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Benali A, Chaptal T, Deverdun J, Champfleur NMD, Molino F, Le Bars E, Ducros A. Comparaison du volume ischémique lésionnel évalué sur la séquence EPI et sur la séquence RESOLVE à la phase aiguë chez le patient victime d’un Infarctus cérébral. J Neuroradiol 2019. [DOI: 10.1016/j.neurad.2019.01.013] [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: 10/27/2022]
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Metzger A, Le Bars E, Deverdun J, Molino F, Maréchal B, Picot MC, Ayrignac X, Carra C, Bauchet L, Krainik A, Labauge P, Menjot de Champfleur N. Is impaired cerebral vasoreactivity an early marker of cognitive decline in multiple sclerosis patients? Eur Radiol 2017; 28:1204-1214. [PMID: 29026971 DOI: 10.1007/s00330-017-5068-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [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: 04/18/2017] [Revised: 08/27/2017] [Accepted: 09/08/2017] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The link between cerebral vasoreactivity and cognitive status in multiple sclerosis remains unclear. The aim of the present study was to investigate a potential decrease of cerebral vasoreactivity in multiple sclerosis patients and correlate it with cognitive status. METHODS Thirty-three patients with multiple sclerosis (nine progressive and 24 remitting forms, median age: 39 years, 12 males) and 22 controls underwent MRI with a hypercapnic challenge to assess cerebral vasoreactivity and a neuropsychological assessment. Cerebral vasoreactivity, measured as the cerebral blood flow percent increase normalised by end-tidal carbon dioxide variation, was assessed globally and by regions of interest using the blood oxygen level-dependent technique. Non-parametric statistics tests were used to assess differences between groups, and associations were estimated using linear models. RESULTS Cerebral vasoreactivity was lower in patients with cognitive impairment than in cognitively normal patients (p=0.004) and was associated with education level in patients (R2 = 0.35; p = 0.047). There was no decrease in cerebral vasoreactivity between patients and controls. CONCLUSIONS Cognitive impairment in multiple sclerosis may be mediated through decreased cerebral vasoreactivity. Cerebral vasoreactivity could therefore be considered as a marker of cognitive decline in multiple sclerosis. KEY POINTS • Cerebral vasoreactivity does not differ between multiple sclerosis patients and controls. • Cerebral vasoreactivity measure is linked to cognitive impairment in multiple sclerosis. • Cerebral vasoreactivity is linked to level of education in multiple sclerosis.
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Affiliation(s)
- Aude Metzger
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.
- Department of Neurology, Memory Ressource and Research Center, University Hospital Center, Gui de Chauliac Hospital, 80 Avenue Augustin Fliche, 34295, Montpellier Cedex 5, France.
| | - Emmanuelle Le Bars
- Département de Neuroradiologie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut d'Imagerie Fonctionnelle Humaine (I2FH), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
| | - Jeremy Deverdun
- Département de Neuroradiologie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut d'Imagerie Fonctionnelle Humaine (I2FH), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
| | - François Molino
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U661, Université de Montpellier, Montpellier, France
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthcare, HC CEMEA SUI DI, Lausanne, PI, Switzerland
- Department of Radiology, CHUV, Lausanne, Switzerland
- LTS5, EPFL, Lausanne, Switzerland
| | - Marie-Christine Picot
- Département de Biostatistiques, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
| | - Xavier Ayrignac
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Clarisse Carra
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Luc Bauchet
- Département de Neurochirurgie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut de Neurosciences de Montpellier, INSERM U1051, Hôpital Saint Eloi, Montpellier, France
| | | | - Pierre Labauge
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Nicolas Menjot de Champfleur
- Département de Neuroradiologie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut d'Imagerie Fonctionnelle Humaine (I2FH), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
- Département d'Imagerie Médicale, Centre Hospitalier Universitaire Caremeau, Nîmes, France
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Nadal J, Deverdun J, Menjot De Champfleur N, Villain M, Creuzot Garcher C, Le Bars E, Daien V. Retinal vascular fractal dimension and cerebral blood flow, the CRESCENDO study. Acta Ophthalmol 2017. [DOI: 10.1111/j.1755-3768.2017.03334] [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: 11/28/2022]
Affiliation(s)
- J. Nadal
- Service Ophtalmologie Chu Caremeau; Nimes France
| | - J. Deverdun
- Institut Imagerie Fonctionnelle Humaine; Montpellier France
| | | | - M. Villain
- Ophtalmologie - Chu Gui de Chauliac; Montpellier France
| | | | - E. Le Bars
- Institut Imagerie Fonctionnelle Humaine; Montpellier France
| | - V. Daien
- Ophtalmologie - Chu Gui de Chauliac; Montpellier France
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Lal R, Nicoud F, Bars EL, Deverdun J, Molino F, Costalat V, Mohammadi B. Non Invasive Blood Flow Features Estimation in Cerebral Arteries from Uncertain Medical Data. Ann Biomed Eng 2017; 45:2574-2591. [DOI: 10.1007/s10439-017-1904-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 08/12/2017] [Indexed: 11/30/2022]
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Deverdun J, Molino F, Menjot de Champfleur N, Le Bars E. Validation of a quantitative susceptibility mapping acquisition and reconstruction pipeline using a new iron sucrose based MR susceptibility phantom. J Neuroradiol 2017; 44:269-272. [DOI: 10.1016/j.neurad.2016.12.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 11/22/2016] [Accepted: 12/01/2016] [Indexed: 10/20/2022]
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Dunet V, Deverdun J, Charroud C, Le Bars E, Molino F, Menjot de Champfleur S, Maury F, Charif M, Ayrignac X, Labauge P, Castelnovo G, Pinna F, Bonafe A, Geny C, Menjot de Champfleur N. MRI volumetric morphometry in vascular parkinsonism. J Neurol 2017; 264:1511-1519. [PMID: 28669119 DOI: 10.1007/s00415-017-8561-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [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: 05/23/2017] [Revised: 06/27/2017] [Accepted: 06/27/2017] [Indexed: 12/01/2022]
Abstract
Vascular parkinsonism is a difficult clinical differential diagnosis in elderly subjects. We aimed at identifying morphometric markers in the brain of elderly patients with vascular parkinsonism (VP) compared with age-matched patients with Parkinson's disease (PD) and healthy controls. In this multicenter prospective study, 46 patients (80 ± 5 years old; male 32) with parkinsonism (32 PD and 14 VP) and 29 controls (mean age 78 ± 3 years; male 21) underwent brain MRI on a 3-T scanner including T1 MPRAGE and FLAIR sequences. Volumetric morphometry was obtained using Morphobox software and compared between patients and controls. Receiver operating characteristics curve analysis with computation of area under the curve (AUC) was used to compare diagnostic values. Caudate nucleus and white matter hyperintense lesions (WMHL) volumes appeared significantly higher in patients with VP. Normalized caudate volume of at least 0.67% and normalized WMHL of at least 1.11% identified patients with VP from patients with PD and controls with similar performances (p > 0.25). Caudate nucleus and WMHL volumes were positively correlated (ρ = 0.74, p < 0.0001), suggesting vascular disease related remodelling in elderly subjects. Caudate nucleus and WMHL MRI volumes might be used as additional markers to help identify patients with VP in the initial workup of elderly subjects with parkinsonian symptoms.
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Affiliation(s)
- Vincent Dunet
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France. .,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France. .,Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
| | - Jeremy Deverdun
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Laboratoire Charles Coulomb, CNRS, UMR 5221, Montpellier University, Montpellier, France.,Intrasense, Montpellier, France
| | - Celine Charroud
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Neuropsychiatry: Epidemiological and Clinical Research, INSERM U1061-Montpellier University, La Colombiere Hospital, Montpellier, France.,INSERM U1198-Montpellier University, Montpellier, France
| | - Emmanuelle Le Bars
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France
| | - Francois Molino
- Laboratoire Charles Coulomb, CNRS, UMR 5221, Montpellier University, Montpellier, France.,Institut de Genomique Fonctionnelle, UMNR 5203-INSERM U661-Montpellier University, Montpellier, France
| | | | - Florence Maury
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Mahmoud Charif
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Xavier Ayrignac
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Pierre Labauge
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | | | - Frederic Pinna
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Alain Bonafe
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors", U1051, Institut of Neurosciences of Montpellier, Saint Eloi Hospital, Montpellier, France
| | - Christian Geny
- Clinique du Parc, Service d'imagerie, Castenau-le-Lez, France.,EuroMov, 700 Avenue du Pic Saint Loup, 34090, Montpellier, France.,Movement to Health (M2H), Montpellier University, Montpellier, France
| | - Nicolas Menjot de Champfleur
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors", U1051, Institut of Neurosciences of Montpellier, Saint Eloi Hospital, Montpellier, France.,Department of Medical Imaging, Caremeau University Hospital Center, Nimes, France
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Olié E, Jollant F, Deverdun J, de Champfleur NM, Cyprien F, Le Bars E, Mura T, Bonafé A, Courtet P. The experience of social exclusion in women with a history of suicidal acts: a neuroimaging study. Sci Rep 2017; 7:89. [PMID: 28273888 PMCID: PMC5428048 DOI: 10.1038/s41598-017-00211-x] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 02/14/2017] [Indexed: 12/18/2022] Open
Abstract
Suicidal behaviors result from a complex interaction between social stressors and individual vulnerability. However, little is known of the specific neural network supporting the sensitivity to social stressors in patients at risk of suicidal acts. Using functional Magnetic Resonance Imaging, we investigated brain processing of social rejection in suicide attempters. Thirty-six euthymic women with a history of depression and suicidal behavior were compared to 41 euthymic women with a history of depression but no suicidal attempt, and 28 healthy controls. The Cyberball Game was used as a validated social exclusion paradigm. Relative to healthy controls, both patient groups reported higher levels of social distress related to the task, without significant differences according to suicidal status. Compared to patients without any history of suicide attempt and healthy controls, suicide attempters showed decreased contrast in the left insula and supramarginal gyrus during the exclusion vs. inclusion condition, after controlling for number of depressive episodes, medication, mood disorder type or social phobia. Our study highlights impaired brain response to social exclusion in euthymic female suicide attempters in regions previously implicated in pain tolerance and social cognition. These findings suggest sustained brain dysfunctions related to social perception in suicide attempters.
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Affiliation(s)
- Emilie Olié
- Department of Emergency Psychiatry & Post Acute Care, Academic hospital of Montpellier, Montpellier University, & INSERM U1061, Montpellier, France.
| | - Fabrice Jollant
- Department of Psychiatry, Academic hospital of Nimes, Nimes, France
- McGill University, Department of psychiatry, and Douglas Mental Health University Institute, McGill Group for Suicide Studies, Montreal, Québec, Canada
| | - Jeremy Deverdun
- Department of Neuroradiology, Academic hospital of Montpellier & U1051, Institut of Neurosciences of Montpellier, Montpellier, France
| | - Nicolas Menjot de Champfleur
- Department of Neuroradiology, Academic hospital of Montpellier & U1051, Institut of Neurosciences of Montpellier, Montpellier, France
- I2FH & CNRS UMR 5221, University of Montpellier, Montpellier, France
| | - Fabienne Cyprien
- Neurosurgery, Academic Hospital of Montpellier & INSERM U1061, Montpellier, France
| | - Emmanuelle Le Bars
- Department of Neuroradiology, Academic hospital of Montpellier & U1051, Institut of Neurosciences of Montpellier, Montpellier, France
- I2FH & CNRS UMR 5221, University of Montpellier, Montpellier, France
| | - Thibaut Mura
- Center for clinical investigation, Academic hospital of Montpelier, Montpellier University, Montpellier, France
| | - Alain Bonafé
- Department of Neuroradiology, Academic hospital of Montpellier & U1051, Institut of Neurosciences of Montpellier, Montpellier, France
| | - Philippe Courtet
- Department of Emergency Psychiatry & Post Acute Care, Academic hospital of Montpellier, Montpellier University, & INSERM U1061, Montpellier, France
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Dunet V, Deverdun J, Charroud C, Le Bars E, Molino F, Menjot de Champfleur S, Maury F, Charif M, Ayrignac X, Labauge P, Castelnovo G, Pinna F, Bonafe A, Geny C, Menjot de Champfleur N. Cognitive Impairment and Basal Ganglia Functional Connectivity in Vascular Parkinsonism. AJNR Am J Neuroradiol 2016; 37:2310-2316. [PMID: 27418471 DOI: 10.3174/ajnr.a4889] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [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: 01/28/2016] [Accepted: 06/05/2016] [Indexed: 01/14/2023]
Abstract
BACKGROUND AND PURPOSE Patients with vascular parkinsonism have higher cognitive decline and more basal ganglia lesions. We aimed to evaluate the relationship of cognitive impairment with functional connectivity between the basal ganglia and cingulate cortex in vascular parkinsonism. MATERIALS AND METHODS Thirty patients (8 with vascular parkinsonism and 22 with Parkinson disease) and 23 controls were enrolled. The Mattis Dementia Rating Scale and the Stroop Task were used to assess cognitive decline. MR imaging examinations included T1-MPRAGE, FLAIR, and resting-state fMRI sequences. MPRAGE was segmented to obtain basal ganglia and cingulate cortex volumes. FLAIR was segmented to obtain white matter hyperintensity lesion volume. Resting-state fMRI sequences were used to compare basal ganglia functional connectivity with the cingulate cortex between patients and controls. RESULTS Patients with vascular parkinsonism exhibited impaired attention, resistance to interference, and inhibitory control and an increased number of errors on the Stroop Task. They also had higher caudate nucleus and white matter hyperintensity lesion volumes, which were positively correlated (ρ = 0.75, P < .0001). Caudate nucleus functional connectivity with the perigenual anterior cingulate cortex was increased in patients with vascular parkinsonism compared with controls and patients with Parkinson disease, and it was positively correlated with the caudate nucleus volume (ρ = 0.44, P = .016). Caudate nucleus functional connectivity with the posterior cingulate cortex was decreased in patients with vascular parkinsonism compared with controls and negatively correlated with the number of errors on the Stroop test (ρ = -0.51, P = .0003). CONCLUSIONS In patients with vascular parkinsonism, cognitive decline could be related to changes of caudate nucleus functional connectivity with the cingulate cortex at resting-state, which may be induced by ischemia-related remodelling.
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Affiliation(s)
- V Dunet
- From the Departments of Neuroradiology (V.D., J.D., C.C., E.L.B., F.P, A.B., N.M.d.C.)
- Institut d'Imagerie Fonctionnelle Humaine, I2FH (V.D., J.D., C.C., E.L.B., F.P., A.B., N.M.d.C.), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Department of Diagnostic and Interventional Radiology (V.D), Lausanne University Hospital, Lausanne, Switzerland
| | - J Deverdun
- From the Departments of Neuroradiology (V.D., J.D., C.C., E.L.B., F.P, A.B., N.M.d.C.)
- Institut d'Imagerie Fonctionnelle Humaine, I2FH (V.D., J.D., C.C., E.L.B., F.P., A.B., N.M.d.C.), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Laboratoire Charles Coulomb (J.D., F.Molino), Centre National de la Recherche Scientifique Unite Mixte de Recherche 5221, Montpellier University, Montpellier, France
- Intrasense (J.D.), Montpellier, France
| | - C Charroud
- From the Departments of Neuroradiology (V.D., J.D., C.C., E.L.B., F.P, A.B., N.M.d.C.)
- Institut d'Imagerie Fonctionnelle Humaine, I2FH (V.D., J.D., C.C., E.L.B., F.P., A.B., N.M.d.C.), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Neuropsychiatry: Epidemiological and Clinical Research (C.C.), Institut National de la Santé et de la Recherche Médicale, U1061, Montpellier University, La Colombiere Hospital, Montpellier, France
- Institut National de la Santé et de la Recherche Médicale (C.C.), U1198, Montpellier University, Montpellier, France
| | - E Le Bars
- From the Departments of Neuroradiology (V.D., J.D., C.C., E.L.B., F.P, A.B., N.M.d.C.)
- Institut d'Imagerie Fonctionnelle Humaine, I2FH (V.D., J.D., C.C., E.L.B., F.P., A.B., N.M.d.C.), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
| | - F Molino
- Laboratoire Charles Coulomb (J.D., F.Molino), Centre National de la Recherche Scientifique Unite Mixte de Recherche 5221, Montpellier University, Montpellier, France
- Institut de Genomique Fonctionnelle (F.Molino), UMR 5203, Institut National de la Santé et de la Recherche Médicale, U661, Montpellier University, Montpellier, France
| | | | - F Maury
- Neurology (F.Maury, M.C., X.A., P.L., F.P., C.G.), Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - M Charif
- Neurology (F.Maury, M.C., X.A., P.L., F.P., C.G.), Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - X Ayrignac
- Neurology (F.Maury, M.C., X.A., P.L., F.P., C.G.), Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - P Labauge
- Neurology (F.Maury, M.C., X.A., P.L., F.P., C.G.), Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | | | - F Pinna
- From the Departments of Neuroradiology (V.D., J.D., C.C., E.L.B., F.P, A.B., N.M.d.C.)
- Neurology (F.Maury, M.C., X.A., P.L., F.P., C.G.), Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
- Institut d'Imagerie Fonctionnelle Humaine, I2FH (V.D., J.D., C.C., E.L.B., F.P., A.B., N.M.d.C.), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
| | - A Bonafe
- From the Departments of Neuroradiology (V.D., J.D., C.C., E.L.B., F.P, A.B., N.M.d.C.)
- Institut d'Imagerie Fonctionnelle Humaine, I2FH (V.D., J.D., C.C., E.L.B., F.P., A.B., N.M.d.C.), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors" (A.B., N.M.d.C,), U1051, Institut of Neurosciences of Montpellier, Saint Eloi Hospital, Montpellier, France
| | - C Geny
- Neurology (F.Maury, M.C., X.A., P.L., F.P., C.G.), Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
- EuroMov (C.G.), Montpellier, France
- Movement to Health (C.G.), Montpellier University, Montpellier, France
| | - N Menjot de Champfleur
- From the Departments of Neuroradiology (V.D., J.D., C.C., E.L.B., F.P, A.B., N.M.d.C.)
- Institut d'Imagerie Fonctionnelle Humaine, I2FH (V.D., J.D., C.C., E.L.B., F.P., A.B., N.M.d.C.), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Medical Imaging (N.M.d.C.), Caremeau University Hospital Center, Nimes, France
- Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors" (A.B., N.M.d.C,), U1051, Institut of Neurosciences of Montpellier, Saint Eloi Hospital, Montpellier, France
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Deverdun J, Akbaraly TN, Charroud C, Abdennour M, Brickman AM, Chemouny S, Steffener J, Portet F, Bonafe A, Stern Y, Ritchie K, Molino F, Le Bars E, Menjot de Champfleur N. Mean arterial pressure change associated with cerebral blood flow in healthy older adults. Neurobiol Aging 2016; 46:49-57. [DOI: 10.1016/j.neurobiolaging.2016.05.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Revised: 05/06/2016] [Accepted: 05/11/2016] [Indexed: 11/25/2022]
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Charroud C, Le Bars E, Deverdun J, Steffener J, Molino F, Abdennour M, Portet F, Bonafe A, Stern Y, Ritchie K, Akbaraly TN, de Champfleur NM. Réorganisation de la connectivité fonctionnelle des réseaux de l’état de repos en fonction de la performance de la mémoire de travail chez des individus âgés sains. J Neuroradiol 2016. [DOI: 10.1016/j.neurad.2016.01.070] [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: 11/28/2022]
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Ayrignac X, Menjot de Champfleur N, Menjot de Champfleur S, Carra-Dallière C, Deverdun J, Corlobe A, Labauge P. Brain magnetic resonance imaging helps to differentiate atypical multiple sclerosis with cavitary lesions and vanishing white matter disease. Eur J Neurol 2016; 23:995-1000. [DOI: 10.1111/ene.12931] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 11/04/2015] [Indexed: 02/01/2023]
Affiliation(s)
- X. Ayrignac
- Department of Neurology; Montpellier University Hospital; Gui de Chauliac Hospital; Montpellier France
- Neuroscience Institute of Montpellier (INM); Inserm UMR1051; Saint-Eloi Hospital; Montpellier France
| | - N. Menjot de Champfleur
- Department of Neuroradiology; Montpellier University Hospital; Gui de Chauliac Hospital; Montpellier France
- I2FH; Institut d'Imagerie Fonctionnelle Humaine; Montpellier University Hospital; Montpellier France
| | - S. Menjot de Champfleur
- Department of Neuroradiology; Montpellier University Hospital; Gui de Chauliac Hospital; Montpellier France
- I2FH; Institut d'Imagerie Fonctionnelle Humaine; Montpellier University Hospital; Montpellier France
| | - C. Carra-Dallière
- Department of Neurology; Montpellier University Hospital; Gui de Chauliac Hospital; Montpellier France
| | - J. Deverdun
- Department of Neuroradiology; Montpellier University Hospital; Gui de Chauliac Hospital; Montpellier France
- I2FH; Institut d'Imagerie Fonctionnelle Humaine; Montpellier University Hospital; Montpellier France
| | - A. Corlobe
- Department of Neurology; Nimes University Hospital; Gui de Chauliac Hospital; Montpellier France
| | - P. Labauge
- Department of Neurology; Montpellier University Hospital; Gui de Chauliac Hospital; Montpellier France
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Carra-Dalliere C, Menjot de Champfleur N, Deverdun J, Ayrignac X, Nerrant E, Makinson A, Casanova ML, Labauge P. Use of quantitative susceptibility mapping (QSM) in progressive multifocal leukoencephalopathy. J Neuroradiol 2015; 43:6-10. [PMID: 26475668 DOI: 10.1016/j.neurad.2015.08.001] [Citation(s) in RCA: 9] [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] [Received: 06/27/2015] [Revised: 08/01/2015] [Accepted: 08/14/2015] [Indexed: 10/22/2022]
Abstract
BACKGROUND Progressive multifocal leukoencephalopathy (PML) is an opportunistic demyelinating encephalopathy related to JC virus. Its characteristics on conventional brain MRI are well known and are important for the diagnosis. OBJECTIVE To analyze SWI hypointensities recently described in U-fibers and cortex adjacent to the white matter lesions of PML. METHODS Prospective study including four patients with an history of definite diagnosis of PML. Clinical data were collected retrospectively. Brain MRI exams were done on a 3T magnet, including FLAIR, T2 GRE sequences and SWI. RESULTS Four males were included (mean age: 47 years, mean PML duration: 24.2 months). Immunosuppression was related to AIDS (n=2), natalizumab for multiple sclerosis (n=1), B-cell lymphoma treated by chemotherapeutic agents and rituximab (n=1). All patients had SWI hypointensities in cortex and/or U-fibers adjacent to the white matter lesions. QSM always suggested a paramagnetic effect. CONCLUSION SWI and T2 GRE hypointensities in cortex and U-fibers adjacent to the white matter lesions seem highly prevalent in PML, irrespective of the delay between PML onset and the MRI. QSM data suggest a paramagnetic effect.
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Affiliation(s)
- C Carra-Dalliere
- Department of Neurology, Montpellier University Hospital, Gui-de-Chauliac Hospital, 34295 Montpellier, France.
| | - N Menjot de Champfleur
- Department of Neuroradiology, Montpellier University Hospital, Gui-de-Chauliac Hospital, 34295 Montpellier, France; Institut d'imagerie fonctionnelle humaine (I2FH), Montpellier University Hospital, 34295 Montpellier, France
| | - J Deverdun
- Department of Neuroradiology, Montpellier University Hospital, Gui-de-Chauliac Hospital, 34295 Montpellier, France; Institut d'imagerie fonctionnelle humaine (I2FH), Montpellier University Hospital, 34295 Montpellier, France
| | - X Ayrignac
- Department of Neurology, Montpellier University Hospital, Gui-de-Chauliac Hospital, 34295 Montpellier, France
| | - E Nerrant
- Department of Neurology, Montpellier University Hospital, Gui-de-Chauliac Hospital, 34295 Montpellier, France
| | - A Makinson
- Department of Infectious Diseases, Montpellier University Hospital, Saint-Éloi Hospital, 34295 Montpellier, France
| | - M L Casanova
- Department of Infectious Diseases, Montpellier University Hospital, Saint-Éloi Hospital, 34295 Montpellier, France
| | - P Labauge
- Department of Neurology, Montpellier University Hospital, Gui-de-Chauliac Hospital, 34295 Montpellier, France
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Carra-Dalliere C, Menjot de Champfleur N, Ayrignac X, Deverdun J, Labauge P. Quantitative susceptibility mapping suggests a paramagnetic effect in PML. Neurology 2015; 84:1501-2. [DOI: 10.1212/wnl.0000000000001455] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Kinoshita M, de Champfleur NM, Deverdun J, Moritz-Gasser S, Herbet G, Duffau H. Role of fronto-striatal tract and frontal aslant tract in movement and speech: an axonal mapping study. Brain Struct Funct 2014; 220:3399-412. [DOI: 10.1007/s00429-014-0863-0] [Citation(s) in RCA: 125] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Accepted: 07/29/2014] [Indexed: 10/24/2022]
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