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Fragueiro A, Cury C, Santacroce F, Burles F, Iaria G, Committeri G. Medial positioning of the hippocampus and hippocampal fissure volume in developmental topographical disorientation. Hippocampus 2024; 34:204-216. [PMID: 38214182 DOI: 10.1002/hipo.23599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/08/2023] [Accepted: 12/18/2023] [Indexed: 01/13/2024]
Abstract
Developmental topographical disorientation (DTD) refers to the lifelong inability to orient by means of cognitive maps in familiar surroundings despite otherwise well-preserved general cognitive functions, and the absence of any acquired brain injury or neurological condition. While reduced functional connectivity between the hippocampus and other brain regions has been reported in DTD individuals, no structural differences in gray matter tissue for the whole brain neither for the hippocampus were detected. Considering that the human hippocampus is the main structure associated with cognitive map-based navigation, here, we investigated differences in morphological and morphometric hippocampal features between individuals affected by DTD (N = 20) and healthy controls (N = 238). Specifically, we focused on a developmental anomaly of the hippocampus that is characterized by the incomplete infolding of hippocampal subfields during fetal development, giving the hippocampus a more round or pyramidal shape, called incomplete hippocampal inversion (IHI). We rated IHI according to standard criteria and extracted hippocampal subfield volumes after FreeSurfer's automatic segmentation. We observed similar IHI prevalence in the group of individuals with DTD with respect to the control population. Neither differences in whole hippocampal nor major hippocampal subfield volumes have been observed between groups. However, when assessing the IHI independent criteria, we observed that the hippocampus in the DTD group is more medially positioned comparing to the control group. In addition, we observed bigger hippocampal fissure volume for the DTD comparing to the control group. Both of these findings were stronger for the right hippocampus comparing to the left. Our results provide new insights regarding the hippocampal morphology of individuals affected by DTD, highlighting the role of structural anomalies during early prenatal development in line with the developmental nature of the spatial disorientation deficit.
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Affiliation(s)
- Agustina Fragueiro
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn-ERL U 1228, Rennes, France
| | - Claire Cury
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn-ERL U 1228, Rennes, France
| | - Federica Santacroce
- Department of Neuroscience, Imaging and Clinical Sciences, and ITAB, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Ford Burles
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Giuseppe Iaria
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Giorgia Committeri
- Department of Neuroscience, Imaging and Clinical Sciences, and ITAB, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
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2
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de Matos K, Cury C, Chougar L, Strike LT, Rolland T, Riche M, Hemforth L, Martin A, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Papadopoulos Orfanos D, Lemaitre H, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Frouin V, Bach Cuadra M, Colliot O, Couvy-Duchesne B. Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability. Brain Struct Funct 2023; 228:1459-1478. [PMID: 37358662 DOI: 10.1007/s00429-023-02663-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/07/2023] [Indexed: 06/27/2023]
Abstract
The temporo-basal region of the human brain is composed of the collateral, the occipito-temporal, and the rhinal sulci. We manually rated (using a novel protocol) the connections between rhinal/collateral (RS-CS), collateral/occipito-temporal (CS-OTS) and rhinal/occipito-temporal (RS-OTS) sulci, using the MRI of nearly 3400 individuals including around 1000 twins. We reported both the associations between sulcal polymorphisms as well with a wide range of demographics (e.g. age, sex, handedness). Finally, we also estimated the heritability, and the genetic correlation between sulcal connections. We reported the frequency of the sulcal connections in the general population, which were hemisphere dependent. We found a sexual dimorphism of the connections, especially marked in the right hemisphere, with a CS-OTS connection more frequent in females (approximately 35-40% versus 20-25% in males) and an RS-CS connection more common in males (approximately 40-45% versus 25-30% in females). We confirmed associations between sulcal connections and characteristics of incomplete hippocampal inversion (IHI). We estimated the broad sense heritability to be 0.28-0.45 for RS-CS and CS-OTS connections, with hints of dominant contribution for the RS-CS connection. The connections appeared to share some of their genetic causing factors as indicated by strong genetic correlations. Heritability appeared much smaller for the (rarer) RS-OTS connection.
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Affiliation(s)
- Kevin de Matos
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
- CIBM Center for Biomedical Imaging, Vaud, Switzerland
- Radiology Department, Lausanne University and University Hospital, Lausanne, Switzerland
| | - Claire Cury
- CNRS, Inria, Inserm, IRISA UMR 6074, Empenn ERL U-1228, University of Rennes, 35000, Rennes, France
| | - Lydia Chougar
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
- Service de neuroradiologie, AP-HP, Pitié-Salpêtrière, Paris, France
| | - Lachlan T Strike
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Thibault Rolland
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
| | - Maximilien Riche
- Department of Neurosurgery, AP-HP, La Pitié-Salpêtrière Hospital, Sorbonne University, 75013, Paris, France
| | - Lisa Hemforth
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
| | - Alexandre Martin
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
- Inria Sophia Antipolis, Morpheme Project, Paris, France
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Berlin Institute of Health, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Brunswick, Berlin, Germany
| | - Jean-Luc Martinot
- INSERM U 1299 "Trajectoires développementales & psychiatrie", CNRS, Institut National de la Santé et de la Recherche Médicale, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- INSERM U 1299 "Trajectoires développementales & psychiatrie", CNRS, AP-HP, Institut National de la Santé et de la Recherche Médicale, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-sur-Yvette, France
- Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Eric Artiges
- INSERM U 1299 "Trajectoires développementales & psychiatrie", CNRS, Institut National de la Santé et de la Recherche Médicale, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, University Paris-Saclay, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
- UMR 5293, CNRS, CEA, Institut des Maladies Neurodégénératives, Université de Bordeaux, 33076, Bordeaux, France
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Université de Montréal and Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, ON, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Department of Psychiatry and Neuroscience, Centre for Population Neuroscience and Stratified Medicine (PONS), Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Berlin Institute of Health, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Department of Psychiatry and Neuroscience, Centre for Population Neuroscience and Stratified Medicine (PONS), Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Meritxell Bach Cuadra
- CIBM Center for Biomedical Imaging, Vaud, Switzerland
- Radiology Department, Lausanne University and University Hospital, Lausanne, Switzerland
| | - Olivier Colliot
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France
| | - Baptiste Couvy-Duchesne
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France.
- Institute for Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4062, Australia.
- ARAMIS Team, Pitié-Salpêtrière Hospital, Institut du Cerveau, 75013, Paris, France.
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3
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Guyot A, Fouquier ABG, Gerardin E, Chupin M, Glaunes JA, Marrakchi-Kacem L, Germain J, Boutet C, Cury C, Hertz-Pannier L, Vignaud A, Durrleman S, Henry TR, van de Moortele PF, Trouve A, Colliot O. A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI. IEEE Trans Biomed Eng 2021; 68:393-403. [PMID: 32746019 DOI: 10.1109/tbme.2020.2999941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE 7-Tesla MRI of the hippocampus enhances the visualization of its internal substructures. Among these substructures, the cornu Ammonis and subiculum form a contiguous folded ribbon of gray matter. Here, we propose a method to analyze local thickness measurements of this ribbon. METHODS We introduce an original approach based upon the estimation of a diffeomorphic vector field that traverses the ribbon. The method is designed to handle specificities of the hippocampus and corresponding 7-Tesla acquisitions: highly convoluted surface, non-closed ribbon, incompletely defined inner/outer boundaries, anisotropic acquisitions. We furthermore propose to conduct group comparisons using a population template built from the central surfaces of individual subjects. RESULTS We first assessed the robustness of our approach to anisotropy, as well as to inter-rater variability, on a post-mortem scan and on in vivo acquisitions respectively. We then conducted a group study on a dataset of in vivo MRI from temporal lobe epilepsy (TLE) patients and healthy controls. The method detected local thinning patterns in patients, predominantly ipsilaterally to the seizure focus, which is consistent with medical knowledge. CONCLUSION This new technique allows measuring the thickness of the hippocampus from 7-Tesla MRI. It shows good robustness with respect to anisotropy and inter-rater variability and has the potential to detect local atrophy in patients. SIGNIFICANCE As 7-Tesla MRI is increasingly available, this new method may become a useful tool to study local alterations of the hippocampus in brain disorders. It is made freely available to the community (code: https://github.com/aramis-lab/hiplay7-thickness, postmortem segmentation: https://doi.org/10.5281/zenodo.3533264).
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Postma TS, Cury C, Baxendale S, Thompson PJ, Cano-López I, de Tisi J, Burdett JL, Sidhu MK, Caciagli L, Winston GP, Vos SB, Thom M, Duncan JS, Koepp MJ, Galovic M. Hippocampal Shape Is Associated with Memory Deficits in Temporal Lobe Epilepsy. Ann Neurol 2020; 88:170-182. [PMID: 32379905 PMCID: PMC8432153 DOI: 10.1002/ana.25762] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 04/28/2020] [Accepted: 04/29/2020] [Indexed: 12/29/2022]
Abstract
Objective Cognitive problems, especially disturbances in episodic memory, and hippocampal sclerosis are common in temporal lobe epilepsy (TLE), but little is known about the relationship of hippocampal morphology with memory. We aimed to relate hippocampal surface‐shape patterns to verbal and visual learning. Methods We analyzed hippocampal surface shapes on high‐resolution magnetic resonance images and the Adult Memory and Information Processing Battery in 145 unilateral refractory TLE patients undergoing epilepsy surgery, a validation set of 55 unilateral refractory TLE patients, and 39 age‐ and sex‐matched healthy volunteers. Results Both left TLE (LTLE) and right TLE (RTLE) patients had lower verbal (LTLE 44 ± 11; RTLE 45 ± 10) and visual learning (LTLE 34 ± 8, RTLE 30 ± 8) scores than healthy controls (verbal 58 ± 8, visual 39 ± 6; p < 0.001). Verbal learning was more impaired the greater the atrophy of the left superolateral hippocampal head. In contrast, visual memory was worse with greater bilateral inferomedial hippocampal atrophy. Postsurgical verbal memory decline was more common in LTLE than in RTLE (reliable change index in LTLE 27% vs RTLE 7%, p = 0.006), whereas there were no differences in postsurgical visual memory decline between those groups. Preoperative atrophy of the left hippocampal tail predicted postsurgical verbal memory decline. Interpretation Memory deficits in TLE are associated with specific morphological alterations of the hippocampus, which could help stratify TLE patients into those at high versus low risk of presurgical or postsurgical memory deficits. This knowledge could improve planning and prognosis of selective epilepsy surgery and neuropsychological counseling in TLE. ANN NEUROL 2020 ANN NEUROL 2020;88:170–182
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Affiliation(s)
- Tjardo S Postma
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom.,GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands
| | - Claire Cury
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.,University of Rennes, Inria, Inserm, CNRS, IRISA UMR 6074, Empenn team ERL U 1228, F-35000, Rennes, France.,Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - Pamela J Thompson
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - Irene Cano-López
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,Valencian International University, Valencia, Spain
| | - Jane de Tisi
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - Jane L Burdett
- MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom
| | - Meneka K Sidhu
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom
| | - Lorenzo Caciagli
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom
| | - Gavin P Winston
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom.,Department of Medicine, Division of Neurology, Queen's University, Kingston, Canada
| | - Sjoerd B Vos
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom.,Department of Medicine, Division of Neurology, Queen's University, Kingston, Canada
| | - Maria Thom
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom
| | - Matthias J Koepp
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom
| | - Marian Galovic
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, United Kingdom.,MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom.,Department of Neurology, University Hospital Zurich, Zurich, Switzerland
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Cachia A, Cury C, Brunelin J, Plaze M, Delmaire C, Oppenheim C, Medjkane F, Thomas P, Jardri R. Deviations in early hippocampus development contribute to visual hallucinations in schizophrenia. Transl Psychiatry 2020; 10:102. [PMID: 32214096 PMCID: PMC7096500 DOI: 10.1038/s41398-020-0779-9] [Citation(s) in RCA: 12] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 02/17/2020] [Accepted: 02/26/2020] [Indexed: 01/06/2023] Open
Abstract
Auditory hallucinations (AHs) are certainly the most emblematic experiences in schizophrenia, but visual hallucinations (VHs) are also commonly observed in this developmental psychiatric disorder. Notably, several studies have suggested a possible relationship between the clinical variability in hallucinations' phenomenology and differences in brain development/maturation. In schizophrenia, impairments of the hippocampus, a medial temporal structure involved in mnesic and neuroplastic processes, have been repeatedly associated with hallucinations, particularly in the visual modality. However, the possible neurodevelopmental origin of hippocampal impairments in VHs has never been directly investigated. A classic marker of early atypical hippocampal development is incomplete hippocampal inversion (IHI). In this study, we compared IHI patterns in healthy volunteers, and two subgroups of carefully selected schizophrenia patients experiencing frequent hallucinations: (a) those with pure AHs and (b) those with audio-visual hallucinations (A+VH). We found that VHs were associated with a specific IHI pattern. Schizophrenia patients with A+VH exhibited flatter left hippocampi than patients with pure AHs or healthy controls. This result first confirms that the greater clinical impairment observed in A+VH patients may relate to an increased neurodevelopmental weight in this subpopulation. More importantly, these findings bring crucial hints to better specify the sensitivity period of A+VH-related IHI during early brain development.
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Affiliation(s)
- Arnaud Cachia
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM, GHU Paris psychiatrie & neurosciences, F-75005, Paris, France. .,Université de Paris, Laboratoire de Psychologie du développement et de l'Education de l'Enfant, CNRS, F-75005, Paris, France. .,Institut Universitaire de France, Paris, France.
| | - Claire Cury
- grid.83440.3b0000000121901201Department of Medical Physics and Biomedical Engineering, University College, London, UK ,grid.410368.80000 0001 2191 9284Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN — ERL U 1228, F-35000 Rennes, France
| | - Jérôme Brunelin
- grid.25697.3f0000 0001 2172 4233INSERM U 1028, CNRS UMR-5292, Lyon Neuroscience Research Center, PSYR2 Team, Université de Lyon, CH le Vinatier, Lyon, France
| | - Marion Plaze
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM, GHU Paris psychiatrie & neurosciences, F-75005 Paris, France
| | - Christine Delmaire
- grid.410463.40000 0004 0471 8845CHU Lille, Salengro Hospital, Neuroradiology dpt, 59000 Lille, France
| | - Catherine Oppenheim
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM, GHU Paris psychiatrie & neurosciences, F-75005 Paris, France
| | - François Medjkane
- grid.410463.40000 0004 0471 8845CHU Lille, Hôpital Fontan, Plateforme CIC - CURE, 59000 Lille, France ,Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience & Cognition Centre (LiNC), Plasticity & SubjectivitY (PSY) team, 59000 Lille, France
| | - Pierre Thomas
- grid.410463.40000 0004 0471 8845CHU Lille, Hôpital Fontan, Plateforme CIC - CURE, 59000 Lille, France ,Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience & Cognition Centre (LiNC), Plasticity & SubjectivitY (PSY) team, 59000 Lille, France
| | - Renaud Jardri
- grid.410463.40000 0004 0471 8845CHU Lille, Hôpital Fontan, Plateforme CIC - CURE, 59000 Lille, France ,Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience & Cognition Centre (LiNC), Plasticity & SubjectivitY (PSY) team, 59000 Lille, France
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6
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Cury C, Maurel P, Gribonval R, Barillot C. A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction. Front Neurosci 2020; 13:1451. [PMID: 32076396 PMCID: PMC7006471 DOI: 10.3389/fnins.2019.01451] [Citation(s) in RCA: 7] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 12/30/2019] [Indexed: 01/06/2023] Open
Abstract
Measures of brain activity through functional magnetic resonance imaging (fMRI) or electroencephalography (EEG), two complementary modalities, are ground solutions in the context of neurofeedback (NF) mechanisms for brain rehabilitation protocols. While NF-EEG (in which real-time neurofeedback scores are computed from EEG signals) has been explored for a very long time, NF-fMRI (in which real-time neurofeedback scores are computed from fMRI signals) appeared more recently and provides more robust results and more specific brain training. Using fMRI and EEG simultaneously for bi-modal neurofeedback sessions (NF-EEG-fMRI, in which real-time neurofeedback scores are computed from fMRI and EEG) is very promising for the design of brain rehabilitation protocols. However, fMRI is cumbersome and more exhausting for patients. The original contribution of this paper concerns the prediction of bi-modal NF scores from EEG recordings only, using a training phase where EEG signals as well as the NF-EEG and NF-fMRI scores are available. We propose a sparse regression model able to exploit EEG only to predict NF-fMRI or NF-EEG-fMRI in motor imagery tasks. We compared different NF-predictors stemming from the proposed model. We showed that predicting NF-fMRI scores from EEG signals adds information to NF-EEG scores and significantly improves the correlation with bi-modal NF sessions compared to classical NF-EEG scores.
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Affiliation(s)
- Claire Cury
- University of Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn Team ERL U 1228, Rennes, France.,University of Rennes, CNRS, Inria, IRISA UMR 6074, PANAMA Team, Rennes, France
| | - Pierre Maurel
- University of Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn Team ERL U 1228, Rennes, France
| | - Rémi Gribonval
- University of Rennes, CNRS, Inria, IRISA UMR 6074, PANAMA Team, Rennes, France
| | - Christian Barillot
- University of Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn Team ERL U 1228, Rennes, France
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7
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Cury C, Durrleman S, Cash DM, Lorenzi M, Nicholas JM, Bocchetta M, van Swieten JC, Borroni B, Galimberti D, Masellis M, Tartaglia MC, Rowe JB, Graff C, Tagliavini F, Frisoni GB, Laforce R, Finger E, de Mendonça A, Sorbi S, Ourselin S, Rohrer JD, Modat M. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. Neuroimage 2019; 188:282-290. [PMID: 30529631 PMCID: PMC6414401 DOI: 10.1016/j.neuroimage.2018.11.063] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Revised: 11/15/2018] [Accepted: 11/30/2018] [Indexed: 12/18/2022] Open
Abstract
Brain atrophy as measured from structural MR images, is one of the primary imaging biomarkers used to track neurodegenerative disease progression. In diseases such as frontotemporal dementia or Alzheimer's disease, atrophy can be observed in key brain structures years before any clinical symptoms are present. Atrophy is most commonly captured as volume change of key structures and the shape changes of these structures are typically not analysed despite being potentially more sensitive than summary volume statistics over the entire structure. In this paper we propose a spatiotemporal analysis pipeline based on Large Diffeomorphic Deformation Metric Mapping (LDDMM) to detect shape changes from volumetric MRI scans. We applied our framework to a cohort of individuals with genetic variants of frontotemporal dementia and healthy controls from the Genetic FTD Initiative (GENFI) study. Our method, take full advantage of the LDDMM framework, and relies on the creation of a population specific average spatiotemporal trajectory of a relevant brain structure of interest, the thalamus in our case. The residuals from each patient data to the average spatiotemporal trajectory are then clustered and studied to assess when presymptomatic mutation carriers differ from healthy control subjects. We found statistical differences in shape in the anterior region of the thalamus at least five years before the mutation carrier subjects develop any clinical symptoms. This region of the thalamus has been shown to be predominantly connected to the frontal lobe, consistent with the pattern of cortical atrophy seen in the disease.
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Affiliation(s)
- Claire Cury
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College of London, WC1N 3BG, London, United Kingdom.
| | - Stanley Durrleman
- Inria Aramis Project-team Centre Paris-Rocquencourt, Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France
| | - David M Cash
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College of London, WC1N 3BG, London, United Kingdom
| | - Marco Lorenzi
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Epione Team, Inria Sophia Antipolis, Sophia Antipolis, France
| | - Jennifer M Nicholas
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College of London, WC1N 3BG, London, United Kingdom; Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Martina Bocchetta
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College of London, WC1N 3BG, London, United Kingdom
| | | | | | - Daniela Galimberti
- Dept. of Pathophysiology and Transplantation, "Dino Ferrari" Center, University of Milan, Fondazione C Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Mario Masellis
- Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Department of Medicine, University of Toronto, Canada
| | | | | | - Caroline Graff
- Karolinska Institutet, Stockholm, Sweden; Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogeriatrics, Sweden; Department of Geriatric Medicine, Karolinska University Hospital, Stockholm, Sweden
| | | | | | | | | | | | - Sandro Sorbi
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy; IRCCS Don Gnocchi, Firenze, Italy
| | - Sebastien Ourselin
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College of London, WC1N 3BG, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College of London, WC1N 3BG, London, United Kingdom
| | - Marc Modat
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College of London, WC1N 3BG, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom
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Cury C, Glaunès JA, Toro R, Chupin M, Schumann G, Frouin V, Poline JB, Colliot O. Statistical Shape Analysis of Large Datasets Based on Diffeomorphic Iterative Centroids. Front Neurosci 2018; 12:803. [PMID: 30483045 PMCID: PMC6241313 DOI: 10.3389/fnins.2018.00803] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 10/16/2018] [Indexed: 01/22/2023] Open
Abstract
In this paper, we propose an approach for template-based shape analysis of large datasets, using diffeomorphic centroids as atlas shapes. Diffeomorphic centroid methods fit in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework and use kernel metrics on currents to quantify surface dissimilarities. The statistical analysis is based on a Kernel Principal Component Analysis (Kernel PCA) performed on the set of initial momentum vectors which parametrize the deformations. We tested the approach on different datasets of hippocampal shapes extracted from brain magnetic resonance imaging (MRI), compared three different centroid methods and a variational template estimation. The largest dataset is composed of 1,000 surfaces, and we are able to analyse this dataset in 26 h using a diffeomorphic centroid. Our experiments demonstrate that computing diffeomorphic centroids in place of standard variational templates leads to similar shape analysis results and saves around 70% of computation time. Furthermore, the approach is able to adequately capture the variability of hippocampal shapes with a reasonable number of dimensions, and to predict anatomical features of the hippocampus, only present in 17% of the population, in healthy subjects.
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Affiliation(s)
- Claire Cury
- Institut du Cerveau et de la Moelle épinire, ICM, Paris, France
- Inserm, U 1127, Paris, France
- CNRS,UMR 7225, Paris, France
- Sorbonne Université, Paris, France
- Inria, Aramis project-team, Paris, France
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, VISAGES ERL U 1228, Rennes, France
| | - Joan A. Glaunès
- MAP5, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Roberto Toro
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
- CNRS URA 2182 “Genes, Synapses and Cognition”, Paris, France
| | - Marie Chupin
- Institut du Cerveau et de la Moelle épinire, ICM, Paris, France
- Inserm, U 1127, Paris, France
- CNRS,UMR 7225, Paris, France
- Sorbonne Université, Paris, France
- Inria, Aramis project-team, Paris, France
| | - Gunter Schumann
- MRC-Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, United Kingdom
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Paris, France
| | - Jean-Baptiste Poline
- Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, California City, CA, United States
| | - Olivier Colliot
- Institut du Cerveau et de la Moelle épinire, ICM, Paris, France
- Inserm, U 1127, Paris, France
- CNRS,UMR 7225, Paris, France
- Sorbonne Université, Paris, France
- Inria, Aramis project-team, Paris, France
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Cury C, Glaunès J, Chupin M, Colliot O. Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2017. [DOI: 10.1080/21681163.2015.1035403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Claire Cury
- Inserm, U1127, ICM, F-75013 Paris, France
- CNRS, UMR 7225, ICM, F-75013 Paris, France
- Sorbonne Universités, UPMC Univ Paris 6, UMR S 1127, ICM, F-75013 Paris, France
- Institut du Cerveau et de la Moëlle épinière, ICM, F-75013 Paris, France
- Inria, Aramis project-team, Centre Paris-Rocquencourt, Paris, France
| | - Joan Glaunès
- MAP5, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
- Departments of Neurology and Neuroradiology, AP-HP, Pitié-Salpêtrière Hospital, F-75013 Paris, France
| | - Marie Chupin
- Inserm, U1127, ICM, F-75013 Paris, France
- CNRS, UMR 7225, ICM, F-75013 Paris, France
- Sorbonne Universités, UPMC Univ Paris 6, UMR S 1127, ICM, F-75013 Paris, France
- Institut du Cerveau et de la Moëlle épinière, ICM, F-75013 Paris, France
- Inria, Aramis project-team, Centre Paris-Rocquencourt, Paris, France
| | - Olivier Colliot
- Inserm, U1127, ICM, F-75013 Paris, France
- CNRS, UMR 7225, ICM, F-75013 Paris, France
- Sorbonne Universités, UPMC Univ Paris 6, UMR S 1127, ICM, F-75013 Paris, France
- Institut du Cerveau et de la Moëlle épinière, ICM, F-75013 Paris, France
- Inria, Aramis project-team, Centre Paris-Rocquencourt, Paris, France
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Colle R, Cury C, Chupin M, Deflesselle E, Hardy P, Nasser G, Falissard B, Ducreux D, Colliot O, Corruble E. Hippocampal volume predicts antidepressant efficacy in depressed patients without incomplete hippocampal inversion. Neuroimage Clin 2016; 12:949-955. [PMID: 27995060 PMCID: PMC5153557 DOI: 10.1016/j.nicl.2016.04.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [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: 02/16/2016] [Revised: 04/15/2016] [Accepted: 04/26/2016] [Indexed: 12/16/2022]
Abstract
Background Incomplete hippocampal inversion (IHI), also called malrotation, is a frequent atypical anatomical pattern of the hippocampus. Because of the crucial implication of the hippocampus in Major Depressive Disorder (MDD) and the neurodevelopmental hypothesis of MDD, we aimed to assess the prevalence of IHI in patients with MDD, the link of IHI with hippocampal volume (HV) and the impact of IHI on the predictive value of HV for response and remission after antidepressant treatment. Methods IHI (right and left, partial and total and IHI scores) and HV were assessed in 60 patients with a current Major Depressive Episode (MDE) in a context of MDD and 60 matched controls. Patients were prospectively assessed at baseline and after one, three and six months of antidepressant treatment for response and remission. Results The prevalence of IHI did not significantly differ between MDD patients (right = 23.3%; left = 38.3%) and controls (right = 16.7%; left = 33.3%). IHI was not significantly associated with MDD clinical characteristics. IHI alone did not predict response and remission after antidepressant treatment. However, an interaction between left HV and left IHI predicted six-month response (p = 0.04), HDRS score decrease (p = 0.02) and both three-month (p = 0.04) and six-month (p = 0.03) remission. A case-control design in 30 matched patients with or without left IHI confirmed that interaction. In patients without left IHI, left HV at baseline were smaller in six-month non-remitters as compared to remitters (2.2(± 0.43) cm3 vs 2.97(± 0.5) cm3 p = 0.02), and in six-month non-responders as compared to responders (2.18(± 0.42) cm3 vs 2.86(± 0.54) cm3, p = 0.03). In patients with left IHI, no association was found between left HV at baseline and antidepressant response and remission. Conclusion IHI is not more frequent in MDD patients than in controls, is not associated with HV, but is a confounder that decreases the predictive value of hippocampal volume to predict response or remission after antidepressant treatment. IHI should be systematically assessed in future research studies assessing hippocampal volume in MDD. Incomplete hippocampal inversion (IHI) is not significantly more frequent in MDD than in controls. IHI is not significantly associated with MDD clinical characteristics. Hippocampal volume predicts antidepressant efficacy in MDD patients without IHI. Hippocampal volume does not predict antidepressant efficacy in patients with IHI.
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Affiliation(s)
- Romain Colle
- INSERM UMRS 1178, Team "Depression and Antidepressants", 94275 Le Kremlin Bicêtre, France; Univ. Paris-Sud, Faculté de Médecine Paris Sud, 94275 Le Kremlin Bicêtre, France; Service de Psychiatrie, Hôpital Bicêtre, Hôpitaux Universitaires Paris Sud, Assistance Publique-Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Claire Cury
- INSERM U1127, F-75013 Paris, France; CNRS, UMR 7225, 75013 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMRS 1127, F-75013 Paris, France; Institut du Cerveau et de la Moelle épinière, ICM, F-75013 Paris, France; Inria, Aramis project-team, Centre de Recherche de Paris, France; AP-HP, Hôpital de la Pitié-Salpêtrière, Departments of Neuroradiology and Neurology, F-75013 Paris, France
| | - Marie Chupin
- INSERM U1127, F-75013 Paris, France; CNRS, UMR 7225, 75013 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMRS 1127, F-75013 Paris, France; Institut du Cerveau et de la Moelle épinière, ICM, F-75013 Paris, France; Inria, Aramis project-team, Centre de Recherche de Paris, France; AP-HP, Hôpital de la Pitié-Salpêtrière, Departments of Neuroradiology and Neurology, F-75013 Paris, France
| | - Eric Deflesselle
- INSERM UMRS 1178, Team "Depression and Antidepressants", 94275 Le Kremlin Bicêtre, France; Univ. Paris-Sud, Faculté de Médecine Paris Sud, 94275 Le Kremlin Bicêtre, France; Service de Psychiatrie, Hôpital Bicêtre, Hôpitaux Universitaires Paris Sud, Assistance Publique-Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Patrick Hardy
- INSERM UMRS 1178, Team "Depression and Antidepressants", 94275 Le Kremlin Bicêtre, France; Univ. Paris-Sud, Faculté de Médecine Paris Sud, 94275 Le Kremlin Bicêtre, France; Service de Psychiatrie, Hôpital Bicêtre, Hôpitaux Universitaires Paris Sud, Assistance Publique-Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Ghaidaa Nasser
- Univ. Paris-Sud, Faculté de Médecine Paris Sud, 94275 Le Kremlin Bicêtre, France; CNRS IR4M, UMR 8081, 94275 Le Kremlin Bicêtre, France; Service de Neuroradiologie, Hôpital Bicêtre, Hôpitaux Universitaires Paris Sud, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Bruno Falissard
- Université Paris-Saclay, Univ. Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
| | - Denis Ducreux
- Univ. Paris-Sud, Faculté de Médecine Paris Sud, 94275 Le Kremlin Bicêtre, France; CNRS IR4M, UMR 8081, 94275 Le Kremlin Bicêtre, France; Service de Neuroradiologie, Hôpital Bicêtre, Hôpitaux Universitaires Paris Sud, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Olivier Colliot
- INSERM U1127, F-75013 Paris, France; CNRS, UMR 7225, 75013 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMRS 1127, F-75013 Paris, France; Institut du Cerveau et de la Moelle épinière, ICM, F-75013 Paris, France; Inria, Aramis project-team, Centre de Recherche de Paris, France; AP-HP, Hôpital de la Pitié-Salpêtrière, Departments of Neuroradiology and Neurology, F-75013 Paris, France
| | - Emmanuelle Corruble
- INSERM UMRS 1178, Team "Depression and Antidepressants", 94275 Le Kremlin Bicêtre, France; Univ. Paris-Sud, Faculté de Médecine Paris Sud, 94275 Le Kremlin Bicêtre, France; Service de Psychiatrie, Hôpital Bicêtre, Hôpitaux Universitaires Paris Sud, Assistance Publique-Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
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Cury C, Toro R, Cohen F, Fischer C, Mhaya A, Samper-González J, Hasboun D, Mangin JF, Banaschewski T, Bokde ALW, Bromberg U, Buechel C, Cattrell A, Conrod P, Flor H, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Lemaitre H, Martinot JL, Nees F, Paillère Martinot ML, Orfanos DP, Paus T, Poustka L, Smolka MN, Walter H, Whelan R, Frouin V, Schumann G, Glaunès JA, Colliot O. Incomplete Hippocampal Inversion: A Comprehensive MRI Study of Over 2000 Subjects. Front Neuroanat 2015; 9:160. [PMID: 26733822 PMCID: PMC4686650 DOI: 10.3389/fnana.2015.00160] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 11/30/2015] [Indexed: 11/13/2022] Open
Abstract
The incomplete-hippocampal-inversion (IHI), also known as malrotation, is an atypical anatomical pattern of the hippocampus, which has been reported in healthy subjects in different studies. However, extensive characterization of IHI in a large sample has not yet been performed. Furthermore, it is unclear whether IHI are restricted to the medial-temporal lobe or are associated with more extensive anatomical changes. Here, we studied the characteristics of IHI in a community-based sample of 2008 subjects of the IMAGEN database and their association with extra-hippocampal anatomical variations. The presence of IHI was assessed on T1-weighted anatomical magnetic resonance imaging (MRI) using visual criteria. We assessed the association of IHI with other anatomical changes throughout the brain using automatic morphometry of cortical sulci. We found that IHI were much more frequent in the left hippocampus (left: 17%, right: 6%, χ(2)-test, p < 10(-28)). Compared to subjects without IHI, subjects with IHI displayed morphological changes in several sulci located mainly in the limbic lobe. Our results demonstrate that IHI are a common left-sided phenomenon in normal subjects and that they are associated with morphological changes outside the medial temporal lobe.
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Affiliation(s)
- Claire Cury
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France; Centre d'Acquisition et de Traitement des ImagesParis, France
| | - Roberto Toro
- Centre National de la Recherche Scientifique, Genes, Synapses and Cognition, URA 2182, Institut PasteurParis, France; Human Genetics and Cognitive Functions, Institut PasteurParis, France
| | - Fanny Cohen
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France
| | - Clara Fischer
- Centre d'Acquisition et de Traitement des ImagesParis, France; Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du VivantGif-Sur-Yvette, France
| | - Amel Mhaya
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France
| | - Jorge Samper-González
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France
| | - Dominique Hasboun
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France; Departments of Neuroradiology and Neurology, AP-HP, Hôpital de la Pitié-SalpétrièreParis, France
| | - Jean-François Mangin
- Centre d'Acquisition et de Traitement des ImagesParis, France; Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du VivantGif-Sur-Yvette, France
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Clinical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine, Trinity College DublinDublin, Ireland; Institute of Neuroscience, Trinity College DublinDublin, Ireland
| | - Uli Bromberg
- Department of Systems Neuroscience, Universitätsklinikum Hamburg Eppendorf Hamburg, Germany
| | - Christian Buechel
- Department of Systems Neuroscience, Universitätsklinikum Hamburg EppendorfHamburg, Germany; Department of Psychology, Stanford UniversityStanford, CA, USA
| | - Anna Cattrell
- Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondon, UK; MRC Social, Genetic and Developmental Psychiatry CentreLondon, UK
| | - Patricia Conrod
- Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondon, UK; Département de Psychiatrie, Centre Hospitalier Universitaire Sainte-Justine, Université de MontrealMontreal, QC, Canada
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany
| | - Juergen Gallinat
- Department of Systems Neuroscience, Universitätsklinikum Hamburg EppendorfHamburg, Germany; Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité-Universitätsmedizin BerlinGermany
| | - Hugh Garavan
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin Dublin, Ireland
| | - Penny Gowland
- School of Physics and Astronomy, University of Nottingham Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité-Universitätsmedizin Berlin Germany
| | | | - Hervé Lemaitre
- Institut national de la santé et de la recherche médicale U1000, Neuroimagerie en Psychiatrie, Université Paris-Sud, Université Paris Descartes Paris, France
| | - Jean-Luc Martinot
- Institut national de la santé et de la recherche médicale U1000, Neuroimagerie en Psychiatrie, Université Paris-Sud, Université Paris Descartes Paris, France
| | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany
| | - Marie-Laure Paillère Martinot
- Institut national de la santé et de la recherche médicale U1000, Neuroimagerie en Psychiatrie, Université Paris-Sud, Université Paris DescartesParis, France; AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, University Paris Descartes, Sorbonne Paris CitéParis, France
| | - Dimitri P Orfanos
- Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du Vivant Gif-Sur-Yvette, France
| | - Tomas Paus
- Rotman Research Institute, BaycrestToronto, ON, Canada; Departments of Psychology and Psychiatry, University of TorontoToronto, Canada; Center for Developing Brain, Child Mind InstituteNew York, NY, USA
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, Clinical Faculty Mannheim, Central Institute of Mental Health, University of HeidelbergMannheim, Germany; Department of Child and Adolescent Psychiatry, Medical University of ViennaVienna, Austria
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité-Universitätsmedizin BerlinGermany; Berlin School of Mind and Brain, Humboldt University BerlinBerlin, Germany
| | - Robert Whelan
- Department of Psychology, University College Dublin Dublin, Ireland
| | - Vincent Frouin
- Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du Vivant Gif-Sur-Yvette, France
| | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondon, UK; MRC Social, Genetic and Developmental Psychiatry CentreLondon, UK
| | - Joan A Glaunès
- MAP5, Université Paris Descartes, Sorbonne Paris Cité Paris, France
| | - Olivier Colliot
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France; Centre d'Acquisition et de Traitement des ImagesParis, France; Departments of Neuroradiology and Neurology, AP-HP, Hôpital de la Pitié-SalpétrièreParis, France
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Colle R, Chupin M, Cury C, Vandendrie C, Gressier F, Hardy P, Falissard B, Colliot O, Ducreux D, Corruble E. Depressed suicide attempters have smaller hippocampus than depressed patients without suicide attempts. J Psychiatr Res 2015; 61:13-8. [PMID: 25555305 DOI: 10.1016/j.jpsychires.2014.12.010] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [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: 08/26/2014] [Revised: 12/11/2014] [Accepted: 12/15/2014] [Indexed: 02/04/2023]
Abstract
BACKGROUND Despite known relationship between hippocampal volumes and major depressive episodes (MDE) and the increased suicidality in MDE, the links between hippocampal volumes and suicidality remain unclear in major depressive disorders (MDD). If the hippocampus could be a biomarker of suicide attempts in depression, it could be useful for prevention matters. This study assessed the association between hippocampal volumes and suicide attempts in MDD. METHODS Hippocampal volumes assessed with automatic segmentation were compared in 63 patients with MDD, with (n = 24) or without (n = 39) suicide attempts. Acute (<one month) and past (>one month) suicide attempts were studied. RESULTS Although not different in terms of socio-demographic, MDD and MDE clinical features, suicide attempters had lower total hippocampus volumes than non-attempters (4.61 (± 1.15) cm(3) vs 5.22 (± 0.99) cm(3); w = 625.5; p = 0.03), especially for acute suicide attempts (4.19 (± 0.81) cm(3) vs 5.22 (± 0.99) cm(3); w = 334; p = 0.005), even after adjustment on brain volumes, sex, age, Hamilton Depression Rating Scale (HDRS) scores and MDD duration. A ROC analysis showed that a total hippocampal volume threshold of 5.00 cm(3) had a 98.2% negative predictive value for acute suicide attempts. CONCLUSION Depressed suicide attempters have smaller hippocampus than depressed patients without suicide attempts, independently from socio-demographics and MDD characteristics. This difference is related to acute suicide attempts but neither to past suicide attempts nor to duration since the first suicide attempt, suggesting that hippocampal volume could be a suicidal state marker in MDE. Further studies are required to better understand this association.
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Affiliation(s)
- Romain Colle
- INSERM UMR 1178, Team "Depression and Antidepressants", Univ Paris Sud, Service de Psychiatrie, Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France.
| | - Marie Chupin
- INSERM, U1127, F-75013 Paris, France; CNRS, UMR 7225 ICM, 75013 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, F-75013 Paris, France; Institut du Cerveau et de la Moelle épinière, ICM, F-75013 Paris, France; Inria, Aramis Team, Centre de Recherche Paris, Rocquencourt, France
| | - Claire Cury
- INSERM, U1127, F-75013 Paris, France; CNRS, UMR 7225 ICM, 75013 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, F-75013 Paris, France; Institut du Cerveau et de la Moelle épinière, ICM, F-75013 Paris, France; Inria, Aramis Team, Centre de Recherche Paris, Rocquencourt, France
| | - Christophe Vandendrie
- CNRS IR4M, UMR 8081, Neuroradiology Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Florence Gressier
- INSERM UMR 1178, Team "Depression and Antidepressants", Univ Paris Sud, Service de Psychiatrie, Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Patrick Hardy
- INSERM UMR 1178, Team "Depression and Antidepressants", Univ Paris Sud, Service de Psychiatrie, Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Bruno Falissard
- INSERM UMR 1178, Département de Biostatistiques, Univ Paris Sud, Hôpital Paul Brousse, Assistance Publique Hôpitaux de Paris, 94400 Villejuif, France
| | - Olivier Colliot
- INSERM, U1127, F-75013 Paris, France; CNRS, UMR 7225 ICM, 75013 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, F-75013 Paris, France; Institut du Cerveau et de la Moelle épinière, ICM, F-75013 Paris, France; Inria, Aramis Team, Centre de Recherche Paris, Rocquencourt, France
| | - Denis Ducreux
- CNRS IR4M, UMR 8081, Neuroradiology Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
| | - Emmanuelle Corruble
- INSERM UMR 1178, Team "Depression and Antidepressants", Univ Paris Sud, Service de Psychiatrie, Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris, 94275 Le Kremlin Bicêtre, France
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