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Tounekti S, Alizadeh M, Middleton D, Harrop JS, Hiba B, Krisa L, Mekkaoui C, Mohamed FB. Metal artifact reduction around cervical spine implant using diffusion tensor imaging at 3T: A phantom study. Magn Reson Imaging 2024; 105:57-66. [PMID: 37939969 PMCID: PMC10841892 DOI: 10.1016/j.mri.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/04/2023] [Indexed: 11/10/2023]
Abstract
PURPOSE Diffusion MRI continues to play a key role in non-invasively assessing spinal cord integrity and pre-operative injury evaluation. However, post-operative Diffusion Tensor Imaging (DTI) acquisition of patients with metal implants results in severe geometric distortion. We propose and demonstrate a method to alleviate the technical challenges facing the acquisition of DTI on post-operative cases and longitudinal evaluation of therapeutics. MATERIAL AND METHODS The described technique is based on the combination of the reduced Field-Of-View (rFOV) strategy and the phase segmented EPI, termed rFOV-PS-EPI. A custom-built phantom based on a cervical spine model with metal implants was used to collect DTI data at 3 Tesla scanner using: rFOV-PS-EPI, reduced Field-Of-View single-shot EPI (rFOV-SS-EPI), and conventional full FOV techniques including SS-EPI, PS-EPI, and readout-segmented EPI (RS-EPI). Geometric distortion, SNR, and signal void were assessed to evaluate images and compare the sequences. A two-sample t-test was performed with p-value of 0.05 or less to indicate statistical significance. RESULTS The reduced FOV techniques showed better capability to reduce distortions compared to the Full FOV techniques. The rFOV-PS-EPI method provided DTI images of the phantom at the level of the hardware whereas the conventional rFOV-SS-EPI is useful only when the metal is approximately 20 mm away. In addition, compared to the rFOV-SS-EPI technique, the suggested approach produced smaller signal voids area as well as significantly reduced geometric distortion in Circularity (p < 0.005) and Eccentricity (p < 0.005) measurements. No statistically significant differences were found for these geometric distortion measurements between the rFOV-PS-EPI DTI sequence and conventional structural T2 images (p > 0.05). CONCLUSION The combination of rFOV and a phase-segmented acquisition approach is effective for reducing metal-induced distortions in DTI scan on spinal cord with metal hardware at 3 T.
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Affiliation(s)
- Slimane Tounekti
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
| | - Mahdi Alizadeh
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Devon Middleton
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA
| | - James S Harrop
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Bassem Hiba
- Institut des Sciences Cognitives, CNRS UMR 5229, Université Lyon 1, Lyon, France
| | - Laura Krisa
- Department of Physical Therapy, Thomas Jefferson University, Philadelphia, PA, USA
| | - Choukri Mekkaoui
- Harvard Medical School, Boston, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; A.A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Feroze B Mohamed
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA
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Milham M, Petkov C, Belin P, Ben Hamed S, Evrard H, Fair D, Fox A, Froudist-Walsh S, Hayashi T, Kastner S, Klink C, Majka P, Mars R, Messinger A, Poirier C, Schroeder C, Shmuel A, Silva AC, Vanduffel W, Van Essen DC, Wang Z, Roe AW, Wilke M, Xu T, Aarabi MH, Adolphs R, Ahuja A, Alvand A, Amiez C, Autio J, Azadi R, Baeg E, Bai R, Bao P, Basso M, Behel AK, Bennett Y, Bernhardt B, Biswal B, Boopathy S, Boretius S, Borra E, Boshra R, Buffalo E, Cao L, Cavanaugh J, Celine A, Chavez G, Chen LM, Chen X, Cheng L, Chouinard-Decorte F, Clavagnier S, Cléry J, Colcombe SJ, Conway B, Cordeau M, Coulon O, Cui Y, Dadarwal R, Dahnke R, Desrochers T, Deying L, Dougherty K, Doyle H, Drzewiecki CM, Duyck M, Arachchi WE, Elorette C, Essamlali A, Evans A, Fajardo A, Figueroa H, Franco A, Freches G, Frey S, Friedrich P, Fujimoto A, Fukunaga M, Gacoin M, Gallardo G, Gao L, Gao Y, Garside D, Garza-Villarreal EA, Gaudet-Trafit M, Gerbella M, Giavasis S, Glen D, Ribeiro Gomes AR, Torrecilla SG, Gozzi A, Gulli R, Haber S, Hadj-Bouziane F, Fujimoto SH, Hawrylycz M, He Q, He Y, Heuer K, Hiba B, Hoffstaedter F, Hong SJ, Hori Y, Hou Y, Howard A, de la Iglesia-Vaya M, Ikeda T, Jankovic-Rapan L, Jaramillo J, Jedema HP, Jin H, Jiang M, Jung B, Kagan I, Kahn I, Kiar G, Kikuchi Y, Kilavik B, Kimura N, Klatzmann U, Kwok SC, Lai HY, Lamberton F, Lehman J, Li P, Li X, Li X, Liang Z, Liston C, Little R, Liu C, Liu N, Liu X, Liu X, Lu H, Loh KK, Madan C, Magrou L, Margulies D, Mathilda F, Mejia S, Meng Y, Menon R, Meunier D, Mitchell A, Mitchell A, Murphy A, Mvula T, Ortiz-Rios M, Ortuzar Martinez DE, Pagani M, Palomero-Gallagher N, Pareek V, Perkins P, Ponce F, Postans M, Pouget P, Qian M, Ramirez J“B, Raven E, Restrepo I, Rima S, Rockland K, Rodriguez NY, Roger E, Hortelano ER, Rosa M, Rossi A, Rudebeck P, Russ B, Sakai T, Saleem KS, Sallet J, Sawiak S, Schaeffer D, Schwiedrzik CM, Seidlitz J, Sein J, Sharma J, Shen K, Sheng WA, Shi NS, Shim WM, Simone L, Sirmpilatze N, Sivan V, Song X, Tanenbaum A, Tasserie J, Taylor P, Tian X, Toro R, Trambaiolli L, Upright N, Vezoli J, Vickery S, Villalon J, Wang X, Wang Y, Weiss AR, Wilson C, Wong TY, Woo CW, Wu B, Xiao D, Xu AG, Xu D, Xufeng Z, Yacoub E, Ye N, Ying Z, Yokoyama C, Yu X, Yue S, Yuheng L, Yumeng X, Zaldivar D, Zhang S, Zhao Y, Zuo Z. Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging. Neuron 2022; 110:16-20. [PMID: 34731649 DOI: 10.1016/j.neuron.2021.10.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/30/2021] [Accepted: 10/11/2021] [Indexed: 12/22/2022]
Abstract
Open science initiatives are creating opportunities to increase research coordination and impact in nonhuman primate (NHP) imaging. The PRIMatE Data and Resource Exchange community recently developed a collaboration-based strategic plan to advance NHP imaging as an integrative approach for multiscale neuroscience.
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Richard N, Desmurget M, Teillac A, Beuriat PA, Bardi L, Coudé G, Szathmari A, Mottolese C, Sirigu A, Hiba B. Anatomical bases of fast parietal grasp control in humans: A diffusion-MRI tractography study. Neuroimage 2021; 235:118002. [PMID: 33789136 DOI: 10.1016/j.neuroimage.2021.118002] [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] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/26/2021] [Accepted: 03/24/2021] [Indexed: 11/26/2022] Open
Abstract
The dorso-posterior parietal cortex (DPPC) is a major node of the grasp/manipulation control network. It is assumed to act as an optimal forward estimator that continuously integrates efferent outflows and afferent inflows to modulate the ongoing motor command. In agreement with this view, a recent per-operative study, in humans, identified functional sites within DPPC that: (i) instantly disrupt hand movements when electrically stimulated; (ii) receive short-latency somatosensory afferences from intrinsic hand muscles. Based on these results, it was speculated that DPPC is part of a rapid grasp control loop that receives direct inputs from the hand-territory of the primary somatosensory cortex (S1) and sends direct projections to the hand-territory of the primary motor cortex (M1). However, evidence supporting this hypothesis is weak and partial. To date, projections from DPPC to M1 grasp zone have been identified in monkeys and have been postulated to exist in humans based on clinical and transcranial magnetic studies. This work uses diffusion-MRI tractography in two samples of right- (n = 50) and left-handed (n = 25) subjects randomly selected from the Human Connectome Project. It aims to determine whether direct connections exist between DPPC and the hand control sectors of the primary sensorimotor regions. The parietal region of interest, related to hand control (hereafter designated DPPChand), was defined permissively as the 95% confidence area of the parietal sites that were found to disrupt hand movements in the previously evoked per-operative study. In both hemispheres, irrespective of handedness, we found dense ipsilateral connections between a restricted part of DPPChand and focal sectors within the pre and postcentral gyrus. These sectors, corresponding to the hand territories of M1 and S1, targeted the same parietal zone (spatial overlap > 92%). As a sensitivity control, we searched for potential connections between the angular gyrus (AG) and the pre and postcentral regions. No robust pathways were found. Streamline densities identified using AG as the starting seed represented less than 5 % of the streamline densities identified from DPPChand. Together, these results support the existence of a direct sensory-parietal-motor loop suited for fast manual control and more generally, for any task requiring rapid integration of distal sensorimotor signals.
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Affiliation(s)
- Nathalie Richard
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France
| | - Michel Desmurget
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France
| | - Achille Teillac
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France; Institut de neurosciences cognitives et intégratives d'Aquitaine, CNRS / UMR 5287, 33076 Bordeaux, France
| | - Pierre-Aurélien Beuriat
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France; Department of Pediatric Neurosurgery, Hôpital Femme Mère Enfant, 69500, Bron, France
| | - Lara Bardi
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France
| | - Gino Coudé
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France
| | - Alexandru Szathmari
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France; Department of Pediatric Neurosurgery, Hôpital Femme Mère Enfant, 69500, Bron, France
| | - Carmine Mottolese
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France; Department of Pediatric Neurosurgery, Hôpital Femme Mère Enfant, 69500, Bron, France
| | - Angela Sirigu
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France
| | - Bassem Hiba
- Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, 69500 Bron, France; Université Claude Bernard, Lyon 1, 69100 Villeurbanne, France.
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Nicolas R, Hiba B, Dilharreguy B, Barse E, Baillet M, Edde M, Pelletier A, Periot O, Helmer C, Allard M, Dartigues JF, Amieva H, Pérès K, Fernandez P, Catheline G. Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall. Front Aging Neurosci 2020; 12:218. [PMID: 32922282 PMCID: PMC7456903 DOI: 10.3389/fnagi.2020.00218] [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: 03/20/2020] [Accepted: 06/19/2020] [Indexed: 11/13/2022] Open
Abstract
Objective: Extensive research using water-diffusion MRI reported age-related modifications of cerebral White Matter (WM). Moreover, water-diffusion parameter modifications have been frequently associated with cognitive performances in the elderly sample, reinforcing the idea of aging inducing microstructural disconnection of the brain which in turn impacts cognition. However, only few studies really assessed over-time modifications of these parameters and their relationship with episodic memory outcome of elderly. Materials and Methods: One-hundred and thirty elderly subjects without dementia (74.1 ± 4.1 years; 47% female) were included in this study. Diffusion tensor imaging (DTI) was performed at two-time points (3.49 ± 0.68 years apart), allowing the assessment of changes in water-diffusion parameters over time using a specific longitudinal pipeline. White matter hyperintensity (WMH) burden and gray matter (GM) atrophy were also measured on FLAIR and T1-weighted sequences collected during these two MRI sessions. Free and cued verbal recall scores assessed at the last follow-up of the cohort were used as episodic memory outcome. Changes in water-diffusion parameters over time were included in serial linear regression models to predict retrieval or storage ability of elderly. Results: GM atrophy and an increase in mean diffusivity (MD) and WMH load between the two-time points were observed. The increase in MD was significantly correlated with WMH load and the different memory scores. In models accounting for the baseline cognitive score, GM atrophy, or WMH load, MD changes still significantly predict free verbal recall, and not total verbal recall, suggesting the specific association with the retrieval deficit in healthy aging. Conclusion: In elderly, microstructural WM changes are good predictors of lower free verbal recall performances. Moreover, this contribution is not only driven by WMH load increase. This last observation is in line with studies reporting early water-diffusion modification in WM tissue during aging, resulting lately in the appearance of WMH on conventional MRI.
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Affiliation(s)
- Renaud Nicolas
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Bassem Hiba
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Bixente Dilharreguy
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Elodie Barse
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Marion Baillet
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Manon Edde
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Amandine Pelletier
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Olivier Periot
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Catherine Helmer
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France
| | - Michele Allard
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Service de Médecine Nucléaire, CHU de Bordeaux, Bordeaux, France
| | - Jean-François Dartigues
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France.,CMRR, CHU de Bordeaux, Bordeaux, France
| | - Hélène Amieva
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France
| | - Karine Pérès
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France
| | - Philippe Fernandez
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Service de Médecine Nucléaire, CHU de Bordeaux, Bordeaux, France
| | - Gwénaëlle Catheline
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
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Milham M, Petkov CI, Margulies DS, Schroeder CE, Basso MA, Belin P, Fair DA, Fox A, Kastner S, Mars RB, Messinger A, Poirier C, Vanduffel W, Van Essen DC, Alvand A, Becker Y, Ben Hamed S, Benn A, Bodin C, Boretius S, Cagna B, Coulon O, El-Gohary SH, Evrard H, Forkel SJ, Friedrich P, Froudist-Walsh S, Garza-Villarreal EA, Gao Y, Gozzi A, Grigis A, Hartig R, Hayashi T, Heuer K, Howells H, Ardesch DJ, Jarraya B, Jarrett W, Jedema HP, Kagan I, Kelly C, Kennedy H, Klink PC, Kwok SC, Leech R, Liu X, Madan C, Madushanka W, Majka P, Mallon AM, Marche K, Meguerditchian A, Menon RS, Merchant H, Mitchell A, Nenning KH, Nikolaidis A, Ortiz-Rios M, Pagani M, Pareek V, Prescott M, Procyk E, Rajimehr R, Rautu IS, Raz A, Roe AW, Rossi-Pool R, Roumazeilles L, Sakai T, Sallet J, García-Saldivar P, Sato C, Sawiak S, Schiffer M, Schwiedrzik CM, Seidlitz J, Sein J, Shen ZM, Shmuel A, Silva AC, Simone L, Sirmpilatze N, Sliwa J, Smallwood J, Tasserie J, Thiebaut de Schotten M, Toro R, Trapeau R, Uhrig L, Vezoli J, Wang Z, Wells S, Williams B, Xu T, Xu AG, Yacoub E, Zhan M, Ai L, Amiez C, Balezeau F, Baxter MG, Blezer EL, Brochier T, Chen A, Croxson PL, Damatac CG, Dehaene S, Everling S, Fleysher L, Freiwald W, Griffiths TD, Guedj C, Hadj-Bouziane F, Harel N, Hiba B, Jung B, Koo B, Laland KN, Leopold DA, Lindenfors P, Meunier M, Mok K, Morrison JH, Nacef J, Nagy J, Pinsk M, Reader SM, Roelfsema PR, Rudko DA, Rushworth MF, Russ BE, Schmid MC, Sullivan EL, Thiele A, Todorov OS, Tsao D, Ungerleider L, Wilson CR, Ye FQ, Zarco W, Zhou YD. Accelerating the Evolution of Nonhuman Primate Neuroimaging. Neuron 2020; 105:600-603. [PMID: 32078795 PMCID: PMC7610430 DOI: 10.1016/j.neuron.2019.12.023] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 12/13/2019] [Accepted: 12/17/2019] [Indexed: 11/17/2022]
Abstract
Nonhuman primate neuroimaging is on the cusp of a transformation, much in the same way its human counterpart was in 2010, when the Human Connectome Project was launched to accelerate progress. Inspired by an open data-sharing initiative, the global community recently met and, in this article, breaks through obstacles to define its ambitions.
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Griton M, Dhaya I, Nicolas R, Raffard G, Periot O, Hiba B, Konsman JP. Experimental sepsis-associated encephalopathy is accompanied by altered cerebral blood perfusion and water diffusion and related to changes in cyclooxygenase-2 expression and glial cell morphology but not to blood-brain barrier breakdown. Brain Behav Immun 2020; 83:200-213. [PMID: 31622656 DOI: 10.1016/j.bbi.2019.10.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [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] [Received: 08/13/2019] [Revised: 10/02/2019] [Accepted: 10/10/2019] [Indexed: 12/21/2022] Open
Abstract
Sepsis-associated encephalopathy (SAE) refers to brain dysfunction, including delirium, occurs during severe infection and is associated with development of post-traumatic stress disorder. SAE has been proposed to be related to reduced cerebral blood flow (CBF), blood-brain barrier breakdown (BBB), white matter edema and disruption and glia cell activation, but their exact relationships remain to be determined. In the present work, we set out to study CBF using Arterial Spin Labeling (ASL) and grey and white matter structure with T2- and diffusion magnetic resonance imaging (dMRI) in rats with cecal ligation and puncture (CLP)-induced encephalopathy. Using immunohistochemistry, the distribution of the vasoactive prostaglandin-synthesizing enzyme cyclooxygenase-2 (COX-2), perivascular immunoglobulins G (IgG), aquaporin-4 (AQP4) and the morphology of glial cell were subsequently assessed in brains of the same animals. CLP induced deficits in the righting reflex and resulted in higher T2-weighted contrast intensities in the cortex, striatum and at the base of the brain, decreased blood perfusion distribution to the cortex and increased water diffusion parallel to the fibers of the corpus callosum compared to sham surgery. In addition, CLP reduced staining for microglia- and astrocytic-specific proteins in the corpus callosum, decreased neuronal COX-2 and AQP4 expression in the cortex while inducing perivascular COX-2 expression, but did not induce widespread perivascular IgG diffusion. In conclusion, our findings indicate that experimental SAE can occur in the absence of BBB breakdown and is accompanied by increased water diffusion anisotropy and altered glia cell morphology in brain white matter.
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Affiliation(s)
- Marion Griton
- INCIA, Institut de Neurosciences Cognitive et Intégrative d'Aquitaine, UMR 5287, Bordeaux, France; Univ. Bordeaux, INCIA, UMR 5287, Bordeaux, France; Service de Réanimation Anesthésie Neurochirurgicale, Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
| | - Ibtihel Dhaya
- INCIA, Institut de Neurosciences Cognitive et Intégrative d'Aquitaine, UMR 5287, Bordeaux, France; Univ. Bordeaux, INCIA, UMR 5287, Bordeaux, France; Laboratoire de Neurophysiologie Fonctionnelle et Pathologies, UR/11ES09, Faculté des Sciences Mathématiques, Physiques et Naturelles, Université de Tunis El Manar, Tunis, Tunisia
| | - Renaud Nicolas
- INCIA, Institut de Neurosciences Cognitive et Intégrative d'Aquitaine, UMR 5287, Bordeaux, France; Univ. Bordeaux, INCIA, UMR 5287, Bordeaux, France
| | - Gérard Raffard
- CNRS, Résonance Magnétique des Systèmes Biologiques, UMR 5536, Bordeaux, France; Univ. Bordeaux, RMSB, UMR 5536, Bordeaux, France
| | - Olivier Periot
- INCIA, Institut de Neurosciences Cognitive et Intégrative d'Aquitaine, UMR 5287, Bordeaux, France; Univ. Bordeaux, INCIA, UMR 5287, Bordeaux, France; Service de Médecine Nucléaire, Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
| | - Bassem Hiba
- INCIA, Institut de Neurosciences Cognitive et Intégrative d'Aquitaine, UMR 5287, Bordeaux, France; Univ. Bordeaux, INCIA, UMR 5287, Bordeaux, France; CNRS UMR 5229, Centre de Neurosciences Cognitives Marc Jeannerod, Bron, France
| | - Jan Pieter Konsman
- INCIA, Institut de Neurosciences Cognitive et Intégrative d'Aquitaine, UMR 5287, Bordeaux, France; Univ. Bordeaux, INCIA, UMR 5287, Bordeaux, France.
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7
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Milham MP, Ai L, Koo B, Xu T, Amiez C, Balezeau F, Baxter MG, Blezer ELA, Brochier T, Chen A, Croxson PL, Damatac CG, Dehaene S, Everling S, Fair DA, Fleysher L, Freiwald W, Froudist-Walsh S, Griffiths TD, Guedj C, Hadj-Bouziane F, Ben Hamed S, Harel N, Hiba B, Jarraya B, Jung B, Kastner S, Klink PC, Kwok SC, Laland KN, Leopold DA, Lindenfors P, Mars RB, Menon RS, Messinger A, Meunier M, Mok K, Morrison JH, Nacef J, Nagy J, Rios MO, Petkov CI, Pinsk M, Poirier C, Procyk E, Rajimehr R, Reader SM, Roelfsema PR, Rudko DA, Rushworth MFS, Russ BE, Sallet J, Schmid MC, Schwiedrzik CM, Seidlitz J, Sein J, Shmuel A, Sullivan EL, Ungerleider L, Thiele A, Todorov OS, Tsao D, Wang Z, Wilson CRE, Yacoub E, Ye FQ, Zarco W, Zhou YD, Margulies DS, Schroeder CE. An Open Resource for Non-human Primate Imaging. Neuron 2018; 100:61-74.e2. [PMID: 30269990 PMCID: PMC6231397 DOI: 10.1016/j.neuron.2018.08.039] [Citation(s) in RCA: 126] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 03/02/2018] [Accepted: 08/30/2018] [Indexed: 01/11/2023]
Abstract
Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of the past two decades have outpaced the accrual of data, which is particularly challenging given the relatively few centers that have the necessary facilities and capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human primate magnetic resonance imaging (MRI) datasets and openly sharing them via the International Neuroimaging Data-sharing Initiative (INDI). Here, we present the rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates). We also outline the unique pitfalls and challenges that should be considered in the analysis of non-human primate MRI datasets, including providing automated quality assessment of the contributed datasets.
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Affiliation(s)
- Michael P Milham
- Center for the Developing Brain, Child Mind Institute, New York, NY 10022, USA; Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA.
| | - Lei Ai
- Center for the Developing Brain, Child Mind Institute, New York, NY 10022, USA
| | - Bonhwang Koo
- Center for the Developing Brain, Child Mind Institute, New York, NY 10022, USA
| | - Ting Xu
- Center for the Developing Brain, Child Mind Institute, New York, NY 10022, USA
| | - Céline Amiez
- University of Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Lyon, France
| | - Fabien Balezeau
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Mark G Baxter
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Erwin L A Blezer
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Thomas Brochier
- Institut de Neurosciences de la Timone, CNRS & Aix-Marseille Université, UMR 7289, Marseille, France
| | - Aihua Chen
- Key Laboratory of Brain Functional Genomics (Ministry of Education & Science and Technology Commission of Shanghai Municipality), School of Life Sciences, East China Normal University, Shanghai 200062, China
| | - Paula L Croxson
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Christienne G Damatac
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, 6525 EN Nijmegen, Netherlands
| | - Stanislas Dehaene
- NeuroSpin, CEA, INSERM U992, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Stefan Everling
- Centre for Functional and Metabolic Mapping, The University of Western Ontario, London, ON N6A 3K7, Canada
| | - Damian A Fair
- Department of Behavior Neuroscience, Department of Psychiatry, Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR, USA
| | - Lazar Fleysher
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Winrich Freiwald
- Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA
| | | | - Timothy D Griffiths
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Carole Guedj
- INSERM, U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Lyon, France
| | | | - Suliann Ben Hamed
- Institut des Sciences Cognitives - Marc Jeannerod, UMR5229, CNRS-Université de Lyon, Lyon, France
| | - Noam Harel
- Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Bassem Hiba
- Institut des Sciences Cognitives - Marc Jeannerod, UMR5229, CNRS-Université de Lyon, Lyon, France
| | - Bechir Jarraya
- NeuroSpin, CEA, INSERM U992, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Benjamin Jung
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Sabine Kastner
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
| | - P Christiaan Klink
- Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, 1105 BA Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Sze Chai Kwok
- Shanghai Key Laboratory of Brain Functional Genomics, School of Psychology and Cognitive Science, Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai 200062, China
| | - Kevin N Laland
- Centre for Social Learning and Cognitive Evolution, School of Biology, University of St. Andrews, St. Andrews, UK
| | - David A Leopold
- Section on Cognitive Neurophysiology and Imaging, National Institute of Mental Health, Bethesda, MD 20892, USA; Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, Bethesda, MD 20892, USA
| | - Patrik Lindenfors
- Institute for Future Studies, Stockholm, Sweden; Centre for Cultural Evolution & Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Rogier B Mars
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, 6525 EN Nijmegen, Netherlands; Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Ravi S Menon
- Centre for Functional and Metabolic Mapping, The University of Western Ontario, London, ON N6A 3K7, Canada
| | - Adam Messinger
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Martine Meunier
- INSERM, U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Lyon, France
| | - Kelvin Mok
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Departments of Neurology, Neurosurgery, and Biomedical Engineering, McGill University, Montreal, QC H3A 0G4, Canada
| | - John H Morrison
- California National Primate Research Center, Davis, CA 95616, USA; Department of Neurology, School of Medicine, University of California, Davis, CA 95616, USA
| | - Jennifer Nacef
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Jamie Nagy
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael Ortiz Rios
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Christopher I Petkov
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Mark Pinsk
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
| | - Colline Poirier
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Emmanuel Procyk
- University of Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Lyon, France
| | - Reza Rajimehr
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Simon M Reader
- Department of Biology and Helmholtz Institute, Utrecht University, 35 84 CH Utrecht, The Netherlands; Department of Biology, McGill University, Montreal, QC H3A 1BA, Canada
| | - Pieter R Roelfsema
- Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, 1105 BA Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit, 1081 HV Amsterdam, the Netherlands
| | - David A Rudko
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Departments of Neurology, Neurosurgery, and Biomedical Engineering, McGill University, Montreal, QC H3A 0G4, Canada
| | - Matthew F S Rushworth
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK; Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford OX1 3AQ, UK
| | - Brian E Russ
- Section on Cognitive Neurophysiology and Imaging, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Jerome Sallet
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford OX1 3AQ, UK
| | | | | | - Jakob Seidlitz
- Developmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA; Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Julien Sein
- Institut de Neurosciences de la Timone, CNRS & Aix-Marseille Université, UMR 7289, Marseille, France
| | - Amir Shmuel
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Departments of Neurology, Neurosurgery, and Biomedical Engineering, McGill University, Montreal, QC H3A 0G4, Canada
| | - Elinor L Sullivan
- Divisions of Neuroscience and Cardiometabolic Health, Oregon National Primate Research Center, Beaverton, OR, USA; Department of Human Physiology, University of Oregon, Eugene, OR, USA
| | - Leslie Ungerleider
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Alexander Thiele
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Orlin S Todorov
- Department of Biology and Helmholtz Institute, Utrecht University, 35 84 CH Utrecht, The Netherlands
| | - Doris Tsao
- Department of Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA
| | - Zheng Wang
- Institute of Neuroscience, Key Laboratory of Primate Neurobiology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Charles R E Wilson
- University of Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Lyon, France
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Frank Q Ye
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, Bethesda, MD 20892, USA
| | - Wilbert Zarco
- Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA
| | - Yong-di Zhou
- Krieger Mind/Brain Institute, Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Daniel S Margulies
- Max Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany; Centre national de la recherche scientifique, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, 75013 Paris, France
| | - Charles E Schroeder
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA; Department of Neurological Surgery, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA; Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA
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8
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Tounekti S, Troalen T, Bihan-Poudec Y, Froesel M, Lamberton F, Ozenne V, Cléry J, Richard N, Descoteaux M, Ben Hamed S, Hiba B. High-resolution 3D diffusion tensor MRI of anesthetized rhesus macaque brain at 3T. Neuroimage 2018; 181:149-161. [PMID: 29960088 DOI: 10.1016/j.neuroimage.2018.06.045] [Citation(s) in RCA: 9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 06/11/2018] [Accepted: 06/13/2018] [Indexed: 12/16/2022] Open
Abstract
Diffusion Magnetic Resonance Imaging (dMRI) has been widely used to investigate human brain microstructure and connectivity and its abnormalities in a variety of brain deficits, whether acute, neurodevelopmental or neurodegenerative. However, the biological interpretation and validation of dMRI data modelling is still a crucial challenge in the field. In this respect, achieving high spatial resolution in-vivo dMRI in the non-human primate to compare these observations both with human dMRI on the one hand and 'ground truth' microstructural and histological data on the other hand is of outmost importance. Here, we developed a dMRI pulse sequence based on 3D-multishot Echo Planar Imaging (3D-msEPI) on a 3T human clinical scanner. We demonstrate the feasibility of cerebral dMRI at an isotropic resolution of 0.5 mm in 4 anesthetized macaque monkeys. The added value of the high-resolution dMRI is illustrated by focusing on two aspects. First, we show an enhanced descriptive power of the fine substructure of the hippocampus. Second, we show a more physiological description of the interface between cortex grey matter, superficial and deep white matter. Overall, the high spatial resolution dMRI acquisition method proposed in this study is a significant achievement with respect to the state of the art of dMRI on anesthetized monkeys. This study highlights also the potential of very high-resolution dMRI to precisely capture the microstructure of thin cerebral structures such as the hippocampus and superficial white matter.
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Affiliation(s)
- Slimane Tounekti
- Centre de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, France; Siemens Healthcare SAS, Saint-Denis, France
| | | | - Yann Bihan-Poudec
- Centre de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, France
| | - Mathilda Froesel
- Centre de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, France
| | | | - Valéry Ozenne
- Liryc -Centre de recherche cardio-thoracique U1045, Université de Bordeaux, France
| | - Justine Cléry
- Centre de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, France
| | - Nathalie Richard
- Centre de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, France
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Lab (SCIL), University of Sherbrooke, Sherbrooke, QC, Canada
| | - Suliann Ben Hamed
- Centre de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, France
| | - Bassem Hiba
- Centre de Neuroscience Cognitive, CNRS UMR 5229, Université Claude Bernard Lyon I, France.
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9
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Rodriguez-Grande B, Obenaus A, Ichkova A, Aussudre J, Bessy T, Barse E, Hiba B, Catheline G, Barrière G, Badaut J. Gliovascular changes precede white matter damage and long-term disorders in juvenile mild closed head injury. Glia 2018; 66:1663-1677. [DOI: 10.1002/glia.23336] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/09/2018] [Accepted: 03/16/2018] [Indexed: 12/21/2022]
Affiliation(s)
- Beatriz Rodriguez-Grande
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
| | - Andre Obenaus
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
- Department of Pediatrics; Loma Linda University School of Medicine; Loma Linda California
- Basic Science Department; Loma Linda University School of Medicine; Loma Linda California
- Center for Glial-Neuronal Interactions, Division of Biomedical Sciences; UC Riverside; Riverside California
- Department of Pediatrics; University of California, Irvine; Irvine California
| | - Aleksandra Ichkova
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
| | - Justine Aussudre
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
| | - Thomas Bessy
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
| | - Elodie Barse
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
- EPHE, PSL; Bordeaux France
| | - Bassem Hiba
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
| | - Gwénaëlle Catheline
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
- EPHE, PSL; Bordeaux France
| | - Grégory Barrière
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
| | - Jerome Badaut
- CNRS UMR5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, University of Bordeaux; Bordeaux France
- Basic Science Department; Loma Linda University School of Medicine; Loma Linda California
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10
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Crombe A, Planche V, Raffard G, Bourel J, Dubourdieu N, Panatier A, Fukutomi H, Dousset V, Oliet S, Hiba B, Tourdias T. Deciphering the microstructure of hippocampal subfields with in vivo DTI and NODDI: Applications to experimental multiple sclerosis. Neuroimage 2018; 172:357-368. [PMID: 29409838 DOI: 10.1016/j.neuroimage.2018.01.061] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [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: 09/03/2017] [Revised: 01/16/2018] [Accepted: 01/24/2018] [Indexed: 12/23/2022] Open
Abstract
The hippocampus contains distinct populations of neurons organized into separate anatomical subfields and layers with differential vulnerability to pathological mechanisms. The ability of in vivo neuroimaging to pinpoint regional vulnerability is especially important for better understanding of hippocampal pathology at the early stage of neurodegenerative disorders and for monitoring future therapeutic strategies. This is the case for instance in multiple sclerosis whose neurodegenerative component can affect the hippocampus from the early stage. We challenged the capacity of two models, i.e. the classical diffusion tensor imaging (DTI) model and the neurite orientation dispersion and density imaging (NODDI) model, to compute quantitative diffusion MRI that could capture microstructural alterations in the individual hippocampal layers of experimental-autoimmune encephalomyelitis (EAE) mice, the animal model of multiple sclerosis. To achieve this, the hippocampal anatomy of a healthy mouse brain was first explored ex vivo with high resolution DTI and NODDI. Then, 18 EAE mice and 18 control mice were explored 20 days after immunization with in vivo diffusion MRI prior to sacrifice for the histological quantification of neurites and glial markers in each hippocampal layer. Fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) maps were computed from the DTI model while the orientation dispersion index (ODI), the neurite density index (NDI) and the volume fraction of isotropic diffusivity (isoVF) maps were computed from the NODDI model. We first showed in control mice that color-coded FA and ODI maps can delineate three main hippocampal layers. The quantification of FA, AD, RD, MD, ODI, NDI and isoVF presented differences within these 3 layers, especially within the molecular layer of the dentate gyrus which displayed a specific signature based on a combination of AD (or MD), ODI and NDI. Then, the comparison between EAE and control mice showed a decrease of AD (p = 0.036) and of MD (p = 0.033) selectively within the molecular layer of EAE mice while NODDI indices did not present any difference between EAE and control mice in any layer. Histological analyses confirmed the differential vulnerability of the molecular layer of EAE mice that exhibited decreased dendritic length and decreased dendritic complexity together with activated microglia. Dendritic length and intersections within the molecular layer were independent contributors to the observed decrease of AD (R2 = 0.37 and R2 = 0.40, p < 0.0001) and MD (R2 = 0.41 and R2 = 0.42, p < 0.0001). We therefore identified that NODDI maps can help to highlight the internal microanatomy of the hippocampus but NODDI still presents limitations in grey matter as it failed to capture selective dendritic alterations occurring at early stages of a neurodegenerative disease such as multiple sclerosis, whereas DTI maps were significantly altered.
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Affiliation(s)
- Amandine Crombe
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France; CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, F-33000, Bordeaux, France; CHU de Bordeaux, F-33000, Bordeaux, France
| | - Vincent Planche
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Gerard Raffard
- Univ. Bordeaux, F-33000, Bordeaux, France; CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, F-33000, Bordeaux, France
| | - Julien Bourel
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Nadège Dubourdieu
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Aude Panatier
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Hikaru Fukutomi
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Vincent Dousset
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France; CHU de Bordeaux, F-33000, Bordeaux, France
| | - Stephane Oliet
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Bassem Hiba
- Univ. Bordeaux, F-33000, Bordeaux, France; CNRS UMR 5229, Centre de Neurosciences Cognitives, F-69675, Bron, France.
| | - Thomas Tourdias
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France; CHU de Bordeaux, F-33000, Bordeaux, France.
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11
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Dhaya I, Griton M, Raffard G, Amri M, Hiba B, Konsman JP. Bacterial lipopolysaccharide-induced systemic inflammation alters perfusion of white matter-rich regions without altering flow in brain-irrigating arteries: Relationship to blood-brain barrier breakdown? J Neuroimmunol 2018; 314:67-80. [DOI: 10.1016/j.jneuroim.2017.11.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Revised: 10/31/2017] [Accepted: 11/13/2017] [Indexed: 01/24/2023]
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12
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Crombe A, Alberti N, Hiba B, Uettwiller M, Dousset V, Tourdias T. Cervical Spinal Cord DTI Is Improved by Reduced FOV with Specific Balance between the Number of Diffusion Gradient Directions and Averages. AJNR Am J Neuroradiol 2016; 37:2163-2170. [PMID: 27365330 DOI: 10.3174/ajnr.a4850] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 04/25/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Reduced-FOV DTI is promising for exploring the cervical spinal cord, but the optimal set of parameters needs to be clarified. We hypothesized that the number of excitations should be favored over the number of diffusion gradient directions regarding the strong orientation of the cord in a single rostrocaudal axis. MATERIALS AND METHODS Fifteen healthy individuals underwent cervical spinal cord MR imaging at 3T, including an anatomic 3D-Multi-Echo Recombined Gradient Echo, high-resolution full-FOV DTI with a NEX of 3 and 20 diffusion gradient directions and 5 sets of reduced-FOV DTIs differently balanced in terms of NEX/number of diffusion gradient directions: (NEX/number of diffusion gradient directions = 3/20, 5/16, 7/12, 9/9, and 12/6). Each DTI sequence lasted 4 minutes 30 seconds, an acceptable duration, to cover C1-C4 in the axial plane. Fractional anisotropy maps and tractograms were reconstructed. Qualitatively, 2 radiologists rated the DTI sets blinded to the sequence. Quantitatively, we compared distortions, SNR, variance of fractional anisotropy values, and numbers of detected fibers. RESULTS Qualitatively, reduced-FOV DTI sequences with a NEX of ≥5 were significantly better rated than the full-FOV DTI and the reduced-FOV DTI with low NEX (N = 3) and a high number of diffusion gradient directions (D = 20). Quantitatively, the best trade-off was reached by the reduced-FOV DTI with a NEX of 9 and 9 diffusion gradient directions, which provided significantly fewer artifacts, higher SNR on trace at b = 750 s/mm2 and an increased number of fibers tracked while maintaining similar fractional anisotropy values and dispersion. CONCLUSIONS Optimized reduced-FOV DTI improves spinal cord imaging. The best compromise was obtained with a NEX of 9 and 9 diffusion gradient directions, which emphasizes the need for increasing the NEX at the expense of the number of diffusion gradient directions for spinal cord DTI contrary to brain DTI.
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Affiliation(s)
- A Crombe
- From the Centre Hospitalier Universitaire de Bordeaux (A.C., V.D., T.T.), Service de NeuroImagerie Diagnostique de Thérapeutique, Bordeaux, France
- Institut National de la Santé et de la Recherche Médicale U1215 (A.C., V.D., T.T.), Physiopathologie de la Plasticité Neuronale, Bordeaux, France
- Institut de Bio-Imagerie de Bordeaux (A.C., N.A., B.H., V.D., T.T.), Université de Bordeaux, Bordeaux, France
| | - N Alberti
- Institut de Bio-Imagerie de Bordeaux (A.C., N.A., B.H., V.D., T.T.), Université de Bordeaux, Bordeaux, France
- Centre de Résonance Magnétique des Systèmes Biologiques (N.A., B.H.), Centre National de la Recherche Scientifique Unité Mixte de Recherche 5536, Bordeaux, France
| | - B Hiba
- Institut de Bio-Imagerie de Bordeaux (A.C., N.A., B.H., V.D., T.T.), Université de Bordeaux, Bordeaux, France
- Centre de Résonance Magnétique des Systèmes Biologiques (N.A., B.H.), Centre National de la Recherche Scientifique Unité Mixte de Recherche 5536, Bordeaux, France
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine (B.H.), Centre National de la Recherche Scientifique Unité Mixte de Recherche 5287, Bordeaux, France
| | - M Uettwiller
- GE Healthcare (M.U.), Vélizy-Villacoublay, France
| | - V Dousset
- From the Centre Hospitalier Universitaire de Bordeaux (A.C., V.D., T.T.), Service de NeuroImagerie Diagnostique de Thérapeutique, Bordeaux, France
- Institut National de la Santé et de la Recherche Médicale U1215 (A.C., V.D., T.T.), Physiopathologie de la Plasticité Neuronale, Bordeaux, France
- Institut de Bio-Imagerie de Bordeaux (A.C., N.A., B.H., V.D., T.T.), Université de Bordeaux, Bordeaux, France
| | - T Tourdias
- From the Centre Hospitalier Universitaire de Bordeaux (A.C., V.D., T.T.), Service de NeuroImagerie Diagnostique de Thérapeutique, Bordeaux, France
- Institut National de la Santé et de la Recherche Médicale U1215 (A.C., V.D., T.T.), Physiopathologie de la Plasticité Neuronale, Bordeaux, France
- Institut de Bio-Imagerie de Bordeaux (A.C., N.A., B.H., V.D., T.T.), Université de Bordeaux, Bordeaux, France
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Meziane H, Khelfaoui M, Morello N, Hiba B, Calcagno E, Reibel-Foisset S, Selloum M, Chelly J, Humeau Y, Riet F, Zanni G, Herault Y, Bienvenu T, Giustetto M, Billuart P. Fasudil treatment in adult reverses behavioural changes and brain ventricular enlargement in Oligophrenin-1 mouse model of intellectual disability. Hum Mol Genet 2016; 25:2314-2323. [PMID: 27146843 DOI: 10.1093/hmg/ddw102] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 03/17/2016] [Indexed: 01/09/2023] Open
Abstract
Loss of function mutations in human Oligophrenin1 (OPHN1) gene are responsible for syndromic intellectual disability (ID) associated with cerebellar hypoplasia and cerebral ventricles enlargement. Functional studies in rodent models suggest that OPHN1 linked ID is a consequence of abnormal synaptic transmission and shares common pathophysiological mechanisms with other cognitive disorders. Variants of this gene have been also identified in autism spectrum disorder and schizophrenia. The advanced understanding of the mechanisms underlying OPHN1-related ID, allowed us to develop a therapeutic approach targeting the Ras homolog gene family, member A (RHOA) signalling pathway and repurpose Fasudil- a well-tolerated Rho Kinase (ROCK) and Protein Kinase A (PKA) inhibitor- as a treatment of ID. We have previously shown ex-vivo its beneficial effect on synaptic transmission and plasticity in a mouse model of the OPHN1 loss of function. Here, we report that chronic treatment in adult mouse with Fasudil, is able to counteract vertical and horizontal hyperactivities, restores recognition memory and limits the brain ventricular dilatation observed in Ophn1-/y However, deficits in working and spatial memories are partially or not rescued by the treatment. These results highlight the potential of Fasudil treatment in synaptopathies and also the need for multiple therapeutic approaches especially in adult where brain plasticity is reduced.
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Affiliation(s)
- Hamid Meziane
- PHENOMIN, Institut Clinique de la Souris, ICS; GIE CERBM, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS, UMR7104, INSERM, U964, University of Strasbourg, F-67404 Illkirch-Graffenstaden, France
| | - Malik Khelfaoui
- Institut Cochin, INSERM U1016, CNRS UMR8104, Paris Descartes University, Paris, 75014, France Institut interdisciplinaire de neuroscience, CNRS UMR5297, University of Bordeaux, Bordeaux, 33077, France
| | - Noemi Morello
- University of Torino, Department of Neuroscience « Rita Levi Montalcini », National Institute of Neuroscience-Italy, Torino, 10126, Italy
| | - Bassem Hiba
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 CNRS, Université de Bordeaux, 33077, Bordeaux, France
| | - Eleonora Calcagno
- University of Torino, Department of Neuroscience « Rita Levi Montalcini », National Institute of Neuroscience-Italy, Torino, 10126, Italy
| | | | - Mohammed Selloum
- PHENOMIN, Institut Clinique de la Souris, ICS; GIE CERBM, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS, UMR7104, INSERM, U964, University of Strasbourg, F-67404 Illkirch-Graffenstaden, France
| | - Jamel Chelly
- PHENOMIN, Institut Clinique de la Souris, ICS; GIE CERBM, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS, UMR7104, INSERM, U964, University of Strasbourg, F-67404 Illkirch-Graffenstaden, France Institut Cochin, INSERM U1016, CNRS UMR8104, Paris Descartes University, Paris, 75014, France
| | - Yann Humeau
- Institut interdisciplinaire de neuroscience, CNRS UMR5297, University of Bordeaux, Bordeaux, 33077, France
| | - Fabrice Riet
- PHENOMIN, Institut Clinique de la Souris, ICS; GIE CERBM, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS, UMR7104, INSERM, U964, University of Strasbourg, F-67404 Illkirch-Graffenstaden, France
| | - Ginevra Zanni
- Department of Neurosciences, Laboratory of Molecular Medicine, Unit of Neuromuscular and Neurodegenerative Disorders, Bambino Gesù Children's Hospital, IRCCS, 00165, Rome, Italy
| | - Yann Herault
- PHENOMIN, Institut Clinique de la Souris, ICS; GIE CERBM, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS, UMR7104, INSERM, U964, University of Strasbourg, F-67404 Illkirch-Graffenstaden, France
| | - Thierry Bienvenu
- Institut Cochin, INSERM U1016, CNRS UMR8104, Paris Descartes University, Paris, 75014, France
| | - Maurizio Giustetto
- University of Torino, Department of Neuroscience « Rita Levi Montalcini », National Institute of Neuroscience-Italy, Torino, 10126, Italy
| | - Pierre Billuart
- Institut Cochin, INSERM U1016, CNRS UMR8104, Paris Descartes University, Paris, 75014, France
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Pelletier A, Periot O, Dilharreguy B, Hiba B, Bordessoules M, Chanraud S, Pérès K, Amieva H, Dartigues JF, Allard M, Catheline G. Age-Related Modifications of Diffusion Tensor Imaging Parameters and White Matter Hyperintensities as Inter-Dependent Processes. Front Aging Neurosci 2016; 7:255. [PMID: 26834625 PMCID: PMC4718031 DOI: 10.3389/fnagi.2015.00255] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [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: 06/03/2015] [Accepted: 12/22/2015] [Indexed: 11/13/2022] Open
Abstract
Microstructural changes of White Matter (WM) associated with aging have been widely described through Diffusion Tensor Imaging (DTI) parameters. In parallel, White Matter Hyperintensities (WMH) as observed on a T2-weighted MRI are extremely common in older individuals. However, few studies have investigated both phenomena conjointly. The present study investigates aging effects on DTI parameters in absence and in presence of WMH. Diffusion maps were constructed based on 21 directions DTI scans of young adults (n = 19, mean age = 33 SD = 7.4) and two age-matched groups of older adults, one presenting low-level-WMH (n = 20, mean age = 78, SD = 3.2) and one presenting high-level-WMH (n = 20, mean age = 79, SD = 5.4). Older subjects with low-level-WMH presented modifications of DTI parameters in comparison to younger subjects, fitting with the DTI pattern classically described in aging, i.e., Fractional Anisotropy (FA) decrease/Radial Diffusivity (RD) increase. Furthermore, older subjects with high-level-WMH showed higher DTI modifications in Normal Appearing White Matter (NAWM) in comparison to those with low-level-WMH. Finally, in older subjects with high-level-WMH, FA, and RD values of NAWM were associated with to WMH burden. Therefore, our findings suggest that DTI modifications and the presence of WMH would be two inter-dependent processes but occurring within different temporal windows. DTI changes would reflect the early phase of white matter changes and WMH would appear as a consequence of those changes.
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Affiliation(s)
- Amandine Pelletier
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de BordeauxBordeaux, France
| | - Olivier Periot
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; CHU de BordeauxBordeaux, France
| | - Bixente Dilharreguy
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France
| | | | - Martine Bordessoules
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; CHU de BordeauxBordeaux, France
| | - Sandra Chanraud
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; EPHEBordeaux, France
| | - Karine Pérès
- ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de Bordeaux Bordeaux, France
| | - Hélène Amieva
- ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de Bordeaux Bordeaux, France
| | - Jean-François Dartigues
- ISPED, Centre ISPED, Institut National de la Santé et de la Recherche Médicale U 1219, Université de Bordeaux Bordeaux, France
| | - Michèle Allard
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; CHU de BordeauxBordeaux, France; EPHEBordeaux, France
| | - Gwénaëlle Catheline
- INCIA, UMR 5287, Université de BordeauxTalence, France; Centre National de la Recherche Scientifique, INCIA, UMR 5287Talence, France; EPHEBordeaux, France
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15
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Nicolas R, Sibon I, Hiba B. Accuracies and Contrasts of Models of the Diffusion-Weighted-Dependent Attenuation of the MRI Signal at Intermediate b-values. Magn Reson Insights 2015; 8:11-21. [PMID: 26106263 PMCID: PMC4468950 DOI: 10.4137/mri.s25301] [Citation(s) in RCA: 6] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Revised: 04/23/2015] [Accepted: 04/26/2015] [Indexed: 11/24/2022]
Abstract
The diffusion-weighted-dependent attenuation of the MRI signal E(b) is extremely sensitive to microstructural features. The aim of this study was to determine which mathematical model of the E(b) signal most accurately describes it in the brain. The models compared were the monoexponential model, the stretched exponential model, the truncated cumulant expansion (TCE) model, the biexponential model, and the triexponential model. Acquisition was performed with nine b-values up to 2500 s/mm2 in 12 healthy volunteers. The goodness-of-fit was studied with F-tests and with the Akaike information criterion. Tissue contrasts were differentiated with a multiple comparison corrected nonparametric analysis of variance. F-test showed that the TCE model was better than the biexponential model in gray and white matter. Corrected Akaike information criterion showed that the TCE model has the best accuracy and produced the most reliable contrasts in white matter among all models studied. In conclusion, the TCE model was found to be the best model to infer the microstructural properties of brain tissue.
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Affiliation(s)
- Renaud Nicolas
- Centre de Résonance Magnétique des Systèmes Biologiques (RMSB), UMR 5536, CNRS-Université Bordeaux, Bordeaux Cedex, France. ; Aquitaine Institute for Cognitive and Integrative Neuroscience (INCIA), UMR 5287, CNRS-Université Bordeaux, Talence, France. ; Ecole Pratique des Hautes Etudes (EPHE), Laboratoire de Neurobiologie Intégrative et Adaptative, Bordeaux Cedex, France
| | - Igor Sibon
- Aquitaine Institute for Cognitive and Integrative Neuroscience (INCIA), UMR 5287, CNRS-Université Bordeaux, Talence, France. ; University Hospital (CHU) Bordeaux Pellegrin, NeuroVascular Unit, Bordeaux Cedex, France
| | - Bassem Hiba
- Centre de Résonance Magnétique des Systèmes Biologiques (RMSB), UMR 5536, CNRS-Université Bordeaux, Bordeaux Cedex, France. ; Aquitaine Institute for Cognitive and Integrative Neuroscience (INCIA), UMR 5287, CNRS-Université Bordeaux, Talence, France
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16
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Pelletier A, Periot O, Dilharreguy B, Hiba B, Bordessoules M, Pérès K, Amieva H, Dartigues JF, Allard M, Catheline G. Structural hippocampal network alterations during healthy aging: a multi-modal MRI study. Front Aging Neurosci 2013; 5:84. [PMID: 24367331 PMCID: PMC3852215 DOI: 10.3389/fnagi.2013.00084] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 11/16/2013] [Indexed: 11/13/2022] Open
Abstract
While hippocampal atrophy has been described during healthy aging, few studies have examined its relationship with the integrity of White Matter (WM) connecting tracts of the limbic system. This investigation examined WM structural damage specifically related to hippocampal atrophy in healthy aging subjects (n = 129), using morphological MRI to assess hippocampal volume and Diffusion Tensor Imaging (DTI) to assess WM integrity. Subjects with Mild Cognitive Impairment (MCI) or dementia were excluded from the analysis. In our sample, increasing age was significantly associated with reduced hippocampal volume and reduced Fractional Anisotropy (FA) at the level of the fornix and the cingulum bundle. The findings also demonstrate that hippocampal atrophy was specifically associated with reduced FA of the fornix bundle, but it was not related to alteration of the cingulum bundle. Our results indicate that the relationship between hippocampal atrophy and fornix FA values is not due to an independent effect of age on both structures. A recursive regression procedure was applied to evaluate sequential relationships between the alterations of these two brain structures. When both hippocampal atrophy and fornix FA values were included in the same model to predict age, fornix FA values remained significant whereas hippocampal atrophy was no longer significantly associated with age. According to this latter finding, hippocampal atrophy in healthy aging could be mediated by a loss of fornix connections. Structural alterations of this part of the limbic system, which have been associated with neurodegeneration in Alzheimer's disease, result at least in part from the aging process.
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Affiliation(s)
- Amandine Pelletier
- University of Bordeaux, INCIA, UMR 5287 Talence, France ; CNRS, INCIA, UMR 5287 Talence, France ; EPHE Bordeaux, France
| | - Olivier Periot
- University of Bordeaux, INCIA, UMR 5287 Talence, France ; CNRS, INCIA, UMR 5287 Talence, France ; CHU de Bordeaux, Service de Médecine Nucléaire Bordeaux, France
| | - Bixente Dilharreguy
- University of Bordeaux, INCIA, UMR 5287 Talence, France ; CNRS, INCIA, UMR 5287 Talence, France
| | | | - Martine Bordessoules
- University of Bordeaux, INCIA, UMR 5287 Talence, France ; CNRS, INCIA, UMR 5287 Talence, France ; CHU de Bordeaux, Service de Médecine Nucléaire Bordeaux, France
| | - Karine Pérès
- Université de Bordeaux, ISPED, Centre ISPED, INSERM U 897 Bordeaux, France
| | - Hélène Amieva
- Université de Bordeaux, ISPED, Centre ISPED, INSERM U 897 Bordeaux, France
| | | | - Michèle Allard
- University of Bordeaux, INCIA, UMR 5287 Talence, France ; CNRS, INCIA, UMR 5287 Talence, France ; EPHE Bordeaux, France ; CHU de Bordeaux, Service de Médecine Nucléaire Bordeaux, France
| | - Gwénaëlle Catheline
- University of Bordeaux, INCIA, UMR 5287 Talence, France ; CNRS, INCIA, UMR 5287 Talence, France ; EPHE Bordeaux, France
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17
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Hiba B, Richard N, Hébert LJ, Coté C, Nejjari M, Vial C, Bouhour F, Puymirat J, Janier M. Quantitative assessment of skeletal muscle degeneration in patients with myotonic dystrophy type 1 using MRI. J Magn Reson Imaging 2011; 35:678-85. [PMID: 22069222 DOI: 10.1002/jmri.22849] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2011] [Accepted: 09/21/2011] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To identify MRI biomarkers that could be used to follow disease progression and therapeutic efficacy in one individual muscle in patients with myotonic dystrophy type 1 (DM1). MATERIALS AND METHODS Lower limb MRI and maximal ankle dorsiflexor strength assessment, using a hand-held dynamometer, were performed in 19 DM1 patients and 6 control subjects. The volume of residual muscle tissue of Tibialis Anterior (TA) muscle was chosen as an index for muscle atrophy, and the T2-relaxation-time of the residual muscle tissue was measured to evaluate edema-like lesions. The fat-to-water ratio was assessed using three-point Dixon images to quantify fat infiltration in the entire muscle. RESULTS The intra-observer variability of MRI indices (∼5.2% for the residual muscle tissue volume and 2.5% for the fat-to-water ratio) was lower than that of the dorsiflexor torque measurement (∼11.5%). A high correlation (r = 0.91) was found between maximal ankle dorsiflexor strength and residual TA muscle tissue volume in DM1 patients. Increases in the fat-to-water ratio and T2-relaxation-time were associated with a decrease in maximal ankle dorsiflexor strength. CONCLUSION MRI appears as a noninvasive method which can be used to follow disease progression and therapeutic efficacy.
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Affiliation(s)
- Bassem Hiba
- Université de Lyon, Université Lyon 1, Faculté de médecine Lyon Est, Lyon, France.
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18
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Tourdias T, Hiba B, Raffard G, Biran M, Nishiguchi T, Aussudre J, Franconi JM, Brochet B, Petry KG, Dousset V. Adapted focal experimental autoimmune encephalomyelitis to allow MRI exploration of multiple sclerosis features. Exp Neurol 2011; 230:248-57. [PMID: 21575634 DOI: 10.1016/j.expneurol.2011.04.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2011] [Revised: 04/15/2011] [Accepted: 04/28/2011] [Indexed: 10/18/2022]
Abstract
We aimed to determine an optimal protocol for inducing a focal inflammatory lesion within the rat brain that could be large enough for an easier MRI monitoring while still relevant as a multiple sclerosis (MS) like lesion. We adapted a two-hit model based on pre-sensitization of the Lewis rat with myelin oligodendrocyte protein (MOG) followed by stereotaxic injection of pro-inflammatory cytokines (TNFα+IFNγ) within the internal capsule. We compared the following two strategies to increase focal lesion development for an easier MR translation: (1) a higher sensitization step (MOG50) or (2) a higher cytokine step with lower sensitization (MOG25). Control animals were administered only cytokines without MOG pre-sensitization. Animals were followed with T2, diffusion and T1 post gadolinium weighted images at 1, 3 and 7days following cytokine injection. Immunostaining was performed at the same time points for macrophages (ED1), myelin (MBP and Luxol Fast Blue) and blood brain barrier integrity (IgG). At day 1, the focal lesions depicted with T2-weighted images were very similar among groups and related to vasogenic edema (high apparent diffusion coefficient (ADC), gadolinium enhancement and IgG extravasation) induced by cytokines irrespective of the pre-sensitization step. Then, at day 3, MOG50 rats developed statistically larger T2 lesions than MOG25 and control rats that were correlated with inflammatory cell accumulation. At day 7, MOG50 rats also showed larger T2 lesions than MOG25 and control rats, together with loss of anisotropy that were correlated with demyelination. In contrast, MOG25 and control rats developed similar MR lesions decreasing over time and almost undetectable at day 7. We conclude that with a high pre-sensitization step, the focal lesion can be monitored by MRI whose signal reflects some features of a MS-like lesion, i.e. edema, inflammatory cell accumulation and later demyelination.
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Affiliation(s)
- Thomas Tourdias
- INSERM U.1049 Neuroinflammation, imagerie et thérapie de sclérose en plaques, F-33076 Bordeaux, France.
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Rognant N, Guebre-Egziabher F, Bacchetta J, Janier M, Hiba B, Langlois JB, Gadet R, Laville M, Juillard L. Evolution of renal oxygen content measured by BOLD MRI downstream a chronic renal artery stenosis. Nephrol Dial Transplant 2010; 26:1205-10. [DOI: 10.1093/ndt/gfq538] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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20
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Fissoune R, Janier M, Briguet A, Hiba B. In vivo assessment of mouse hindleg intramyocellular lipids by 1H-MR spectroscopy. Acad Radiol 2009; 16:890-6. [PMID: 19297209 DOI: 10.1016/j.acra.2008.12.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [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: 11/16/2008] [Revised: 11/16/2008] [Accepted: 12/02/2008] [Indexed: 11/16/2022]
Abstract
RATIONALE AND OBJECTIVES (1)H-magnetic resonance spectroscopy ((1)H-MRS) has proved to be the sole in vivo technique able to measure intramyocellular lipids (IMCL) in both humans and animals. Mouse models are now widely used for physiologic studies and drug discovery. However, IMCL assessment using (1)H-MRS is hindered in this animal model by the small muscle size and strong contamination from the extramyocellular lipid (EMCL) signal. The objective of this study was to the use of (1)H-MRS for IMCL quantification in mice at different ages. MATERIALS AND METHODS Noninvasive IMCL quantification was performed at 7 T in tibialis anterior (TA) muscles of healthy male C57/BL6 mice (n = 9; age, 13.6 +/- 1 months), db/db mice (n = 4), and their C57BL/KSJ control littermates (n = 4) at 7 and 17 weeks of age. RESULTS The IMCL content of diabetic mice TA was significantly higher than their littermates (2.41 +/- 0.5 vs. 1.21 +/- 0.35, P < .01). An age effect was observed, with TA IMCL levels being lower in older than younger control mice, but increasing between 7 and 17 weeks in the db/db mice. CONCLUSIONS The feasibility of (1)H-MRS spectroscopy was demonstrated in mice muscle, despite its small size, and used to assess IMCL content in db/db mice.
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Affiliation(s)
- Rachida Fissoune
- Laboratoire Creatis-LRMN, CNRS, Université Lyon 1, Villeurbanne, France
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21
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Bridot JL, Dayde D, Faure AC, Laurent S, Rivière C, Billotey C, Hiba B, Janier M, Josserand V, Coll JL, Vander Elst L, Muller R, Sabattier R, Lerondel S, Lepape A, Perriat P, Roux S, Tillement O. CMR 2007: 7.07: Hybrid gadolinium oxide nanoparticles: contrast agents combining diagnosis and therapy. Contrast Media Mol Imaging 2008. [DOI: 10.1002/cmmi.192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abstract
In the concern of speeding the acquisition time and to increase the spatial resolution of magnetic resonance (MR) images, several methods have already been proposed that acquire partial k-space data and use this known information about the imaged object to deal the problem. This work presents a new approach of reconstructing cardiac cine images by using k-space redundancies. The proposed method is based on the use of the analytic image concept. It is evaluated by experiments on real human heart images and compared with the Homodyne detection (HM) and the Projection onto convex set (POCS) reconstruction techniques.
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23
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Provent P, Benito M, Hiba B, Farion R, López-Larrubia P, Ballesteros P, Rémy C, Segebarth C, Cerdán S, Coles JA, García-Martín ML. Serial In vivo Spectroscopic Nuclear Magnetic Resonance Imaging of Lactate and Extracellular pH in Rat Gliomas Shows Redistribution of Protons Away from Sites of Glycolysis. Cancer Res 2007; 67:7638-45. [PMID: 17699768 DOI: 10.1158/0008-5472.can-06-3459] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The acidity of the tumor microenvironment aids tumor growth, and mechanisms causing it are targets for potential therapies. We have imaged extracellular pH (pHe) in C6 cell gliomas in rat brain using 1H magnetic resonance spectroscopy in vivo. We used a new probe molecule, ISUCA [(±)2-(imidazol-1-yl)succinic acid], and fast imaging techniques, with spiral acquisition in k-space. We obtained a map of metabolites [136 ms echo time (TE)] and then infused ISUCA in a femoral vein (25 mmol/kg body weight over 110 min) and obtained two consecutive images of pHe within the tumor (40 ms TE, each acquisition taking 25 min). pHe (where ISUCA was present) ranged from 6.5 to 7.5 in voxels of 0.75 μL and did not change detectably when [ISUCA] increased. Infusion of glucose (0.2 mmol/kg·min) decreased tumor pHe by, on average, 0.150 (SE, 0.007; P < 0.0001, 524 voxels in four rats) and increased the mean area of measurable lactate peaks by 54.4 ± 3.4% (P < 0.0001, 287 voxels). However, voxel-by-voxel analysis showed that, both before and during glucose infusion, the distributions of lactate and extracellular acidity were very different. In tumor voxels where both could be measured, the glucose-induced increase in lactate showed no spatial correlation with the decrease in pHe. We suggest that, although glycolysis is the main source of protons, distributed sites of proton influx and efflux cause pHe to be acidic at sites remote from lactate production. [Cancer Res 2007;67(16):7638–45]
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Affiliation(s)
- Peggy Provent
- Institut National de la Santé et de la Recherche Médicale, U836, France
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Bridot JL, Faure AC, Laurent S, Rivière C, Billotey C, Hiba B, Janier M, Josserand V, Coll JL, Elst LV, Muller R, Roux S, Perriat P, Tillement O. Hybrid Gadolinium Oxide Nanoparticles: Multimodal Contrast Agents for in Vivo Imaging. J Am Chem Soc 2007; 129:5076-84. [PMID: 17397154 DOI: 10.1021/ja068356j] [Citation(s) in RCA: 471] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Luminescent hybrid nanoparticles with a paramagnetic Gd2O3 core were applied as contrast agents for both in vivo fluorescence and magnetic resonance imaging. These hybrid particles were obtained by encapsulating Gd2O3 cores within a polysiloxane shell which carries organic fluorophores and carboxylated PEG covalently tethered to the inorganic network. Longitudinal proton relaxivities of these particles are higher than the positive contrast agents like Gd-DOTA which are commonly used for clinical magnetic resonance imaging. Moreover these particles can be followed up by fluorescence imaging. This study revealed that these particles suited for dual modality imaging freely circulate in the blood vessels without undesirable accumulation in lungs and liver.
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Affiliation(s)
- Jean-Luc Bridot
- Laboratoire de Physico-Chimie des Matériaux Luminescents, UMR 5620 CNRS-Université Claude Bernard Lyon 1, 69622 Villeurbanne Cedex, France
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Croisille P, Rotaru C, Janier M, Hiba B. Gender and strain variations in left ventricular cardiac function and mass determined with magnetic resonance imaging at 7 tesla in adult mice. Invest Radiol 2007; 42:1-7. [PMID: 17213743 DOI: 10.1097/01.rli.0000248892.35531.ea] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES We sought to assess with magnetic resonance imaging (MRI) the influence of strain type and gender on left ventricular (LV) global function and mass in 3 inbred mouse strains with a normal cardiac phenotype. MATERIALS AND METHODS A total of 30 mice from 3 inbred strains (C57BL/6, 29S2/SvPasCrl, and C3HFeJ) were studied on a 7.05-T MR scanner using ECG-triggered cine sequences. LV mass and volumes were calculated with inclusion and exclusion of papillary muscles (PMs) in the LV wall. RESULTS Significant differences were found with strain and gender (P < 0.001), with strain-effect but no gender-effect for ejection fraction (EF), end-diastolic volume (EDV), and end-systolic volume (ESV). There were no differences in LV mass between strains but lower values in female mice except in the C3H strain. The exclusion of PMs led to the relative underestimation of EF (-6.1%) and of LV mass (-6.4 mg) and the relative overestimation of EDV (6.3 microL) and ESV (5.3 microL). Inter- and intraobserver reproducibility was better when PMs were included. CONCLUSION The use of MRI demonstrates cardiac interstrain and gender-related phenotypic diversities that are essential factors to consider when building genomic databases and designing studies.
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Hiba B, Richard N, Thibault H, Janier M. Cardiac and respiratory self-gated cine MRI in the mouse: Comparison between radial and rectilinear techniques at 7T. Magn Reson Med 2007; 58:745-53. [PMID: 17899593 DOI: 10.1002/mrm.21355] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
ECG-gated cardiac MRI in the mouse is hindered by many technical difficulties in ECG signal recording inside high magnetic field scanners. The present study proposes a robust rectilinear method of acquiring cardiac and respiratory self-gated cine images in mouse hearts. In this approach, a motion-synchronization MR signal is collected in the center of k-space simultaneously with imaging data in each readout of a nontriggered rectilinear acquisition. This signal is then used for both cardiac and respiratory retrospective gating before cine image reconstruction. The value of this approach for overcoming ECG-gating failure was demonstrated by performing cardiac imaging in eight mice with myocardial infarction. Comparison with an auto-gated radial k-space sampling technique, previously reported for cardiac applications in the mouse, found the rectilinear strategy more robust, thanks to a more reliable self-gating signal, while the radial strategy was less sensitive to motion and flow artifacts.
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Affiliation(s)
- Bassem Hiba
- ANIMAGE, Rhône-Alpes Genopole, Université Claude Bernard Lyon1, Lyon, France.
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Abstract
ECG-gated cardiac MRI in the mouse is hindered by many technical difficulties in ECG signal recording inside static and variable high magnetic scanner fields. The present study proposes an alternative robust method of acquiring auto-gated cardiac and respiratory cine images in mouse heart. In our approach, a motion synchronization signal is extracted from the echo peak MR signal of a non-triggered radial acquisition. This signal is then used for both cardiac and respiratory retrospective gating before cine image reconstruction. Highly asymmetric echoes were acquired to achieve the radial k-space sampling in order to avoid radial acquisition related artifacts and to increase auto-gating robustness. In vivo experiments demonstrated the feasibility and robustness of self-gated cine-MRI in the mouse heart at 7T. The signal-to-noise and contrast-to-noise ratios of the self-gated and ECG-gated images were comparable, all parameters being equal. Magn Reson Med, 2006. (c) 2006 Wiley-Liss, Inc.
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Affiliation(s)
- Bassem Hiba
- Platform ANIMAGE, Rhône-Alpes Genopole, Lyon, France
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Hiba B, Serduc R, Provent P, Farion R, Rémy C, Ziegler A. 2DJ-resolved spiral spectroscopic imaging at 7 T: Application to mobile lipid mapping in a rat glioma. Magn Reson Med 2004; 52:658-62. [PMID: 15334587 DOI: 10.1002/mrm.20166] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Lactate (Lac) and mobile lipids (Lip), which are present in rat gliomas, are difficult to map because their 1H resonances overlap in the 1.3 ppm region. 2D J-resolved spectroscopy enables proper separation of the two resonance lines. To obtain high-spatial-resolution mapping of Lac and Lip resonances within a reasonable experiment time, we coupled 2D J-resolved spectroscopy with a fast spectroscopic imaging (SI) method, based on an out-and-in spiral k-space description. The method was applied to a rat glioma at 7 T, and Lac and Lip maps were reconstructed. The duration of SI (2D spatial, 2D spectral) was 64 min for a theoretical in-plane resolution of 1 x 1 mm, and a slice thickness of 2 mm (voxel size 8.2 microl, taking into account the point-spread function (PSF)).
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Affiliation(s)
- Bassem Hiba
- Laboratoire Mixte INSERM-Université Joseph Fourier U594, Centre Hospitalier Universitaire, Grenoble, France
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Abstract
With standard spectroscopic imaging, high spatial resolution is achieved at the price of a large number of phase-encoding steps, leading to long acquisition times. Fast spatial encoding methods reduce the minimum total acquisition time. In this article, a k-space scanning scheme using a continuous series of growing and shrinking, or "out-and-in," spiral trajectories is implemented and the feasibility of spiral spectroscopic imaging for animal models at high B(0) field is demonstrated. This method was applied to rat brain at 7 T. With a voxel size of about 8.7 microl (as calculated from the point-spread function), a 30 x 30 matrix, and a spectral bandwidth of 11 kHz, the minimum scan time was 9 min 20 sec for a signal-to-noise ratio of 7.1 measured on the N-acetylaspartate peak.
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Affiliation(s)
- Bassem Hiba
- Laboratoire mixte INSERM U594 / Université Joseph Fourier Neuroimagerie fonctionnelle et métabolique, Laboratoire de Recherche Conventionné (30V) du CEA, Centre Hospitalier Universitaire, Grenoble, France
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