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Landelle C, Caron-Guyon J, Nazarian B, Anton J, Sein J, Pruvost L, Amberg M, Giraud F, Félician O, Danna J, Kavounoudias A. Beyond sense-specific processing: decoding texture in the brain from touch and sonified movement. iScience 2023; 26:107965. [PMID: 37810223 PMCID: PMC10551894 DOI: 10.1016/j.isci.2023.107965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/08/2023] [Accepted: 09/15/2023] [Indexed: 10/10/2023] Open
Abstract
Texture, a fundamental object attribute, is perceived through multisensory information including touch and auditory cues. Coherent perceptions may rely on shared texture representations across different senses in the brain. To test this hypothesis, we delivered haptic textures coupled with a sound synthesizer to generate real-time textural sounds. Participants completed roughness estimation tasks with haptic, auditory, or bimodal cues in an MRI scanner. Somatosensory, auditory, and visual cortices were all activated during haptic and auditory exploration, challenging the traditional view that primary sensory cortices are sense-specific. Furthermore, audio-tactile integration was found in secondary somatosensory (S2) and primary auditory cortices. Multivariate analyses revealed shared spatial activity patterns in primary motor and somatosensory cortices, for discriminating texture across both modalities. This study indicates that primary areas and S2 have a versatile representation of multisensory textures, which has significant implications for how the brain processes multisensory cues to interact more efficiently with our environment.
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Affiliation(s)
- C. Landelle
- McGill University, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, Montreal, QC, Canada
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
| | - J. Caron-Guyon
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
- University of Louvain, Institute for Research in Psychology (IPSY) & Institute of Neuroscience (IoNS), Louvain Bionics Center, Crossmodal Perception and Plasticity Laboratory, Louvain-la-Neuve, Belgium
| | - B. Nazarian
- Aix-Marseille Université, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, INT UMR 7289, Marseille, France
| | - J.L. Anton
- Aix-Marseille Université, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, INT UMR 7289, Marseille, France
| | - J. Sein
- Aix-Marseille Université, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, INT UMR 7289, Marseille, France
| | - L. Pruvost
- Aix-Marseille Université, CNRS, Perception, Représentations, Image, Son, Musique, PRISM UMR 7061, Marseille, France
| | - M. Amberg
- Université Lille, Laboratoire d'Electrotechnique et d'Electronique de Puissance, EA 2697-L2EP, Lille, France
| | - F. Giraud
- Université Lille, Laboratoire d'Electrotechnique et d'Electronique de Puissance, EA 2697-L2EP, Lille, France
| | - O. Félician
- Aix Marseille Université, INSERM, Institut des Neurosciences des Systèmes, INS UMR 1106, Marseille, France
| | - J. Danna
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
- Université de Toulouse, CNRS, Laboratoire Cognition, Langues, Langage, Ergonomie, CLLE UMR5263, Toulouse, France
| | - A. Kavounoudias
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
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Fabiani E, Velay JL, Younes C, Anton JL, Nazarian B, Sein J, Habib M, Danna J, Longcamp M. Writing letters in two graphic systems: Behavioral and neural correlates in Latin-Arabic biscripters. Neuropsychologia 2023; 185:108567. [PMID: 37084880 DOI: 10.1016/j.neuropsychologia.2023.108567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 03/31/2023] [Accepted: 04/18/2023] [Indexed: 04/23/2023]
Abstract
Biscriptuality is the ability to read and write using two scripts. Despite the increasing number of biscripters, this phenomenon remains poorly understood. Here, we focused on investigating graphomotor processing in French-Arabic biscripters. We chose the French and Arabic alphabets because they have comparable visuospatial complexity and linguistic features, but differ dramatically in their graphomotor characteristics. In a first experiment we describe the graphomotor features of the two alphabets and showed that while Arabic and Latin letters are produced with the same velocity and fluency, Arabic letters require more pen lifts, contain more right-to-left strokes and clockwise curves, and take longer to write than Latin letters. These results suggest that Arabic and Latin letters are produced via different motor patterns. In a second experiment we used functional magnetic resonance imaging to ask whether writing the two scripts relies upon partially distinct or fully overlapping neural networks, and whether the elements of the previously described handwriting network are recruited to the same extent by the two scripts. We found that both scripts engaged the so-called "writing network", but that within the network, Arabic letters recruited the left superior parietal lobule (SPL) and the left primary motor cortex (M1) more strongly than Latin letters. Both regions have previously been identified as holding scale-invariant representations of letter trajectories. Arabic and Latin letters also activated distinct regions that do not belong to the writing network. Complementary analyses indicate that the differences observed between scripts at the neural level could be driven by the specific graphomotor features of each script. Overall, our results indicate that particular features of the practiced scripts can lead to different motor organization at both the behavioral and brain levels in biscripters.
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Affiliation(s)
- Elie Fabiani
- Aix Marseille Univ, CNRS, LNC, Marseille, France
| | | | - Céleste Younes
- Institut Psychomotricité, Université St Joseph de Beyrouth, Beirut, Lebanon
| | - Jean-Luc Anton
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - Bruno Nazarian
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - Julien Sein
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - Michel Habib
- Aix Marseille Univ, CNRS, LNC, Marseille, France
| | - Jeremy Danna
- Aix Marseille Univ, CNRS, LNC, Marseille, France
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Wang S, Planton S, Chanoine V, Sein J, Anton JL, Nazarian B, Dubarry AS, Pallier C, Pattamadilok C. Graph theoretical analysis reveals the functional role of the left ventral occipito-temporal cortex in speech processing. Sci Rep 2022; 12:20028. [PMID: 36414688 PMCID: PMC9681757 DOI: 10.1038/s41598-022-24056-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/09/2022] [Indexed: 11/23/2022] Open
Abstract
The left ventral occipito-temporal cortex (left-vOT) plays a key role in reading. Interestingly, the area also responds to speech input, suggesting that it may have other functions beyond written word recognition. Here, we adopt graph theoretical analysis to investigate the left-vOT's functional role in the whole-brain network while participants process spoken sentences in different contexts. Overall, different connectivity measures indicate that the left-vOT acts as an interface enabling the communication between distributed brain regions and sub-networks. During simple speech perception, the left-vOT is systematically part of the visual network and contributes to the communication between neighboring areas, remote areas, and sub-networks, by acting as a local bridge, a global bridge, and a connector, respectively. However, when speech comprehension is explicitly required, the specific functional role of the area and the sub-network to which the left-vOT belongs change and vary with the quality of speech signal and task difficulty. These connectivity patterns provide insightful information on the contribution of the left-vOT in various contexts of language processing beyond its role in reading. They advance our general understanding of the neural mechanisms underlying the flexibility of the language network that adjusts itself according to the processing context.
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Affiliation(s)
- Shuai Wang
- grid.462776.60000 0001 2206 2382Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France ,grid.5399.60000 0001 2176 4817Aix Marseille Univ, Institute of Language, Communication and the Brain, Aix-en-Provence, France
| | - Samuel Planton
- grid.462776.60000 0001 2206 2382Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France ,grid.7429.80000000121866389Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin Center, Gif/Yvette, France
| | - Valérie Chanoine
- grid.462776.60000 0001 2206 2382Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France ,grid.5399.60000 0001 2176 4817Aix Marseille Univ, Institute of Language, Communication and the Brain, Aix-en-Provence, France
| | - Julien Sein
- grid.462486.a0000 0004 4650 2882Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, UMR 7289 Marseille, France
| | - Jean-Luc Anton
- grid.462486.a0000 0004 4650 2882Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, UMR 7289 Marseille, France
| | - Bruno Nazarian
- grid.462486.a0000 0004 4650 2882Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, UMR 7289 Marseille, France
| | - Anne-Sophie Dubarry
- grid.462776.60000 0001 2206 2382Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France ,grid.4444.00000 0001 2112 9282 Aix Marseille Univ, CNRS, LNC, Marseille, France
| | - Christophe Pallier
- grid.7429.80000000121866389Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin Center, Gif/Yvette, France
| | - Chotiga Pattamadilok
- grid.462776.60000 0001 2206 2382Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France
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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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Nazarian B, Caron-Guyon J, Anton JL, Sein J, Baurberg J, Catz N, Kavounoudias A. A new patterned air-flow device to reveal the network for tactile motion coding using fMRI. J Neurosci Methods 2022; 365:109397. [PMID: 34695454 DOI: 10.1016/j.jneumeth.2021.109397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 10/04/2021] [Accepted: 10/19/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Studying brain processes underlying tactile perception induced by natural-like stimulation is challenging yet crucial to closely match real-world situations. NEW METHOD We developed a computer-controlled pneumatic device that allows the delivery of complex airflow patterns on subject's body, through a MR-compatible system fixed on an independent clippable mounting device. The intensity of stimulation as well as the timing of each of the four air channels are completely programmable and independent, allowing the precise control and modularity of the airflow delivery. RESULTS An analysis of signal-to-noise ratio (SNR) measurements did not show any impact of the PAF device on anatomical or functional scan acquisitions. A psychophysical experiment was also performed on 24 volunteers to evaluate the perception of different airflow patterns delivered over the lower part of their face. It revealed that all participants were able to finely discriminate the direction of these leftward to rightward flow motions. The fMRI experiment, which consisted in presenting to 20 participants four different airflow patterns, shed light on the brain network associated with tactile motion perception. A multivariate analysis further showed a specific coding of the different patterns inside this tactile brain network including the primary and secondary somatosensory cortex COMPARISON WITH EXISTING METHOD(S): The Patterned Air-Flow (PAF) is an easy-to-set-up, portable, adaptable device, which can be spatially and temporally modulated to provide complex tactile stimuli. CONCLUSIONS This device will be useful to further explore complex dynamic touch exerted over various body parts and can also be combined with visual or auditory stimulation to study multisensory mechanisms.
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Affiliation(s)
- B Nazarian
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - J Caron-Guyon
- Aix Marseille Univ, CNRS, LNC (Laboratoire de Neurosciences Cognitives - UMR 7291), Marseille, France
| | - J L Anton
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - J Sein
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - J Baurberg
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - N Catz
- Aix Marseille Univ, CNRS, LNC (Laboratoire de Neurosciences Cognitives - UMR 7291), Marseille, France
| | - A Kavounoudias
- Aix Marseille Univ, CNRS, LNC (Laboratoire de Neurosciences Cognitives - UMR 7291), Marseille, France.
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Runnqvist E, Chanoine V, Strijkers K, Pattamadilok C, Bonnard M, Nazarian B, Sein J, Anton JL, Dorokhova L, Belin P, Alario FX. Cerebellar and Cortical Correlates of Internal and External Speech Error Monitoring. Cereb Cortex Commun 2021; 2:tgab038. [PMID: 34296182 PMCID: PMC8237718 DOI: 10.1093/texcom/tgab038] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/26/2021] [Accepted: 05/26/2021] [Indexed: 11/12/2022] Open
Abstract
An event-related functional magnetic resonance imaging study examined how speakers inspect their own speech for errors. Concretely, we sought to assess 1) the role of the temporal cortex in monitoring speech errors, linked with comprehension-based monitoring; 2) the involvement of the cerebellum in internal and external monitoring, linked with forward modeling; and 3) the role of the medial frontal cortex for internal monitoring, linked with conflict-based monitoring. In a word production task priming speech errors, we observed enhanced involvement of the right posterior cerebellum for trials that were correct, but on which participants were more likely to make a word as compared with a nonword error (contrast of internal monitoring). Furthermore, comparing errors to correct utterances (contrast of external monitoring), we observed increased activation of the same cerebellar region, of the superior medial cerebellum, and of regions in temporal and medial frontal cortex. The presence of the cerebellum for both internal and external monitoring indicates the use of forward modeling across the planning and articulation of speech. Dissociations across internal and external monitoring in temporal and medial frontal cortex indicate that monitoring of overt errors is more reliant on vocal feedback control.
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Affiliation(s)
- Elin Runnqvist
- Aix-Marseille Université, CNRS, LPL, Aix-en-Provence 13100, France
| | - Valérie Chanoine
- Aix-Marseille Université, CNRS, LPL, Aix-en-Provence 13100, France
- Institute of Language, Communication and the Brain, Aix-en-Provence 13100, France
| | | | | | | | - Bruno Nazarian
- Centre IRM, Marseille 13005, France
- Aix-Marseille Université, CNRS, INT 13005, Marseille, France
| | - Julien Sein
- Centre IRM, Marseille 13005, France
- Aix-Marseille Université, CNRS, INT 13005, Marseille, France
| | - Jean-Luc Anton
- Centre IRM, Marseille 13005, France
- Aix-Marseille Université, CNRS, INT 13005, Marseille, France
| | - Lydia Dorokhova
- Aix-Marseille Université, CNRS, LPL, Aix-en-Provence 13100, France
| | - Pascal Belin
- Aix-Marseille Université, CNRS, INT 13005, Marseille, France
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Becker Y, Phelipon R, Sein J, Velly L, Renaud L, Meguerditchian A. Planum temporale grey matter volume asymmetries in newborn monkeys (Papio anubis). Brain Struct Funct 2021; 227:463-468. [PMID: 33937939 DOI: 10.1007/s00429-021-02278-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 04/10/2021] [Indexed: 10/21/2022]
Abstract
The Planum temporale (PT) is one of the key hubs of the language network in the human brain. The gross asymmetry of this perisylvian region toward the left brain was considered as the most emblematic marker of hemispheric specialization of language processes in the brain. Interestingly, this neuroanatomical signature was documented also in newborn infants and preterms, suggesting the early brain's readiness for language acquisition. Nevertheless, this latter interpretation was questioned by a recent report in non-human primates of a potential similar signature in newborn baboons Papio anubis based on PT surface measures. Whether this "tip of the iceberg" PT asymmetry is actually reflecting asymmetry of its underlying grey matter volume remains unclear but critical to investigate potential continuities of cortical specialization with human infants. Here we report a population-level leftward asymmetry of the PT grey matter volume in in vivo 34 newborn baboons P. anubis, which showed intra-individual positive correlation with PT surface's asymmetry measures but also a more pronounced degree of leftward asymmetry at the population level. This finding demonstrates that PT leftward structural asymmetry in this Old World monkey species is a robust phenomenon in early primate development, which clearly speaks for a continuity with early human brain specialization. Results also strengthen the hypothesis that early PT asymmetry might be not a human-specific marker for the pre-wired language-ready brain in infants.
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Affiliation(s)
- Yannick Becker
- Laboratoire de Psychologie Cognitive, UMR 7290, Université Aix-Marseille/CNRS, 13331, Marseille, France.,Institut des Neurosciences de La Timone, UMR 7289, Université Aix-Marseille/CNRS, 13005, Marseille, France
| | - Romane Phelipon
- Laboratoire de Psychologie Cognitive, UMR 7290, Université Aix-Marseille/CNRS, 13331, Marseille, France
| | - Julien Sein
- Institut des Neurosciences de La Timone, UMR 7289, Université Aix-Marseille/CNRS, 13005, Marseille, France
| | - Lionel Velly
- Institut des Neurosciences de La Timone, UMR 7289, Université Aix-Marseille/CNRS, 13005, Marseille, France
| | - Luc Renaud
- Institut des Neurosciences de La Timone, UMR 7289, Université Aix-Marseille/CNRS, 13005, Marseille, France
| | - Adrien Meguerditchian
- Laboratoire de Psychologie Cognitive, UMR 7290, Université Aix-Marseille/CNRS, 13331, Marseille, France. .,Station de Primatologie, UPS846, CNRS, 13790, Rousset, France.
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Quattrini G, Pievani M, Jovicich J, Aiello M, Bargalló N, Barkhof F, Bartrés‐Faz D, Beltramello A, Pizzini FB, Blin O, Bordet R, Caulo M, Constantinides M, Didic M, Drevelegas A, Ferretti A, Fiedler U, Floridi P, Gros‐Dagnac H, Hensch T, Hoffmann K, Kuijer J, Lopes R, Marra C, Müller BW, Nobili F, Parnetti L, Payoux P, Picco A, Ranjeva J, Roccatagliata L, Rossini PM, Salvatore M, Schonknecht P, Schott BH, Sein J, Soricelli A, Tarducci R, Tsolaki M, Visser PJ, Wiltfang J, Richardson J, Frisoni GB, Marizzoni M, Consortium P. Amygdalar nuclei and hippocampal subfields on MRI: Test‐retest reliability of automated segmentation in old and young healthy volunteers. Alzheimers Dement 2020. [DOI: 10.1002/alz.040322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Messinger A, Sirmpilatze N, Heuer K, Loh KK, Mars RB, Sein J, Xu T, Glen D, Jung B, Seidlitz J, Taylor P, Toro R, Garza-Villarreal EA, Sponheim C, Wang X, Benn RA, Cagna B, Dadarwal R, Evrard HC, Garcia-Saldivar P, Giavasis S, Hartig R, Lepage C, Liu C, Majka P, Merchant H, Milham MP, Rosa MGP, Tasserie J, Uhrig L, Margulies DS, Klink PC. A collaborative resource platform for non-human primate neuroimaging. Neuroimage 2020; 226:117519. [PMID: 33227425 PMCID: PMC9272762 DOI: 10.1016/j.neuroimage.2020.117519] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/15/2020] [Accepted: 10/24/2020] [Indexed: 01/12/2023] Open
Abstract
Neuroimaging non-human primates (NHPs) is a growing, yet highly specialized field of neuroscience. Resources that were primarily developed for human neuroimaging often need to be significantly adapted for use with NHPs or other animals, which has led to an abundance of custom, in-house solutions. In recent years, the global NHP neuroimaging community has made significant efforts to transform the field towards more open and collaborative practices. Here we present the PRIMatE Resource Exchange (PRIME-RE), a new collaborative online platform for NHP neuroimaging. PRIME-RE is a dynamic community-driven hub for the exchange of practical knowledge, specialized analytical tools, and open data repositories, specifically related to NHP neuroimaging. PRIME-RE caters to both researchers and developers who are either new to the field, looking to stay abreast of the latest developments, or seeking to collaboratively advance the field.
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Affiliation(s)
- Adam Messinger
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, USA
| | - Nikoloz Sirmpilatze
- German Primate Center - Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany; Georg-August-University Göttingen, 37073 Göttingen, Germany
| | - Katja Heuer
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Center for Research and Interdisciplinarity (CRI), INSERM U1284, Université de Paris, Paris, France
| | - Kep Kee Loh
- Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, UMR 7289, 13005 Marseille, France; Institute for Language, Communication, and the Brain, Aix-Marseille University, Marseille, France
| | - Rogier B Mars
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK; Donders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen, Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
| | - Julien Sein
- Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, UMR 7289, 13005 Marseille, France
| | - Ting Xu
- Child Mind Institute, 101 E 56th St, New York, NY 10022, USA
| | - Daniel Glen
- Scientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, USA
| | - Benjamin Jung
- Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, USA; Department of Neuroscience, Brown University, Providence RI USA
| | - Jakob Seidlitz
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia PA USA; Department of Psychiatry, University of Pennsylvania, Philadelphia PA USA
| | - Paul Taylor
- Scientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, USA
| | - Roberto Toro
- Center for Research and Interdisciplinarity (CRI), INSERM U1284, Université de Paris, Paris, France; Department of Neuroscience, Institut Pasteur, UMR 3571 CNRS, Université de Paris, Paris, France
| | - Eduardo A Garza-Villarreal
- Instituto de Neurobiologia, Universidad Nacional Autónoma de México campus Juriquilla, Queretaro, Mexico
| | - Caleb Sponheim
- Department of Organismal Biology and Anatomy, University of Chicago, Chicago IL USA
| | - Xindi Wang
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute (MNI), Quebec, Canada
| | - R Austin Benn
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Bastien Cagna
- Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, UMR 7289, 13005 Marseille, France
| | - Rakshit Dadarwal
- German Primate Center - Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany; Georg-August-University Göttingen, 37073 Göttingen, Germany
| | - Henry C Evrard
- Centre for Integrative Neurosciences, University of Tübingen, Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, USA; International Center for Primate Brain Research, Chinese Academy of Science, Shanghai, PRC
| | - Pamela Garcia-Saldivar
- Instituto de Neurobiologia, Universidad Nacional Autónoma de México campus Juriquilla, Queretaro, Mexico
| | - Steven Giavasis
- Child Mind Institute, 101 E 56th St, New York, NY 10022, USA
| | - Renée Hartig
- Centre for Integrative Neurosciences, University of Tübingen, Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Focus Program Translational Neurosciences, University Medical Center, Mainz, Germany
| | - Claude Lepage
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute (MNI), Quebec, Canada
| | - Cirong Liu
- Department of Neurobiology, University of Pittsburgh Brain Institute, Pittsburgh PA, USA
| | - Piotr Majka
- Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland; Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC 3800, Australia; Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, VIC 3800, Australia
| | - Hugo Merchant
- Instituto de Neurobiologia, Universidad Nacional Autónoma de México campus Juriquilla, Queretaro, Mexico
| | - Michael P Milham
- Child Mind Institute, 101 E 56th St, New York, NY 10022, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, USA
| | - Marcello G P Rosa
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC 3800, Australia; Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, VIC 3800, Australia
| | - Jordy Tasserie
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale U992, Gif-sur-Yvette, France; Université Paris-Saclay, France
| | - Lynn Uhrig
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, NeuroSpin Center, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale U992, Gif-sur-Yvette, France
| | - Daniel S Margulies
- Integrative Neuroscience and Cognition Center, Centre National de la Recherche Scientifique (CNRS) UMR 8002, Paris, France
| | - P Christiaan Klink
- Department of Vision & Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.
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10
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Ribaldi F, Altomare D, Jovicich J, Ferrari C, Picco A, Pizzini FB, Soricelli A, Mega A, Ferretti A, Drevelegas A, Bosch B, Müller BW, Marra C, Cavaliere C, Bartrés-Faz D, Nobili F, Alessandrini F, Barkhof F, Gros-Dagnac H, Ranjeva JP, Wiltfang J, Kuijer J, Sein J, Hoffmann KT, Roccatagliata L, Parnetti L, Tsolaki M, Constantinidis M, Aiello M, Salvatore M, Montalti M, Caulo M, Didic M, Bargallo N, Blin O, Rossini PM, Schonknecht P, Floridi P, Payoux P, Visser PJ, Bordet R, Lopes R, Tarducci R, Bombois S, Hensch T, Fiedler U, Richardson JC, Frisoni GB, Marizzoni M. Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study. Magn Reson Imaging 2020; 76:108-115. [PMID: 33220450 DOI: 10.1016/j.mri.2020.11.008] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 10/02/2020] [Accepted: 11/14/2020] [Indexed: 01/18/2023]
Abstract
Brain vascular damage accumulate in aging and often manifest as white matter hyperintensities (WMHs) on MRI. Despite increased interest in automated methods to segment WMHs, a gold standard has not been achieved and their longitudinal reproducibility has been poorly investigated. The aim of present work is to evaluate accuracy and reproducibility of two freely available segmentation algorithms. A harmonized MRI protocol was implemented in 3T-scanners across 13 European sites, each scanning five volunteers twice (test-retest) using 2D-FLAIR. Automated segmentation was performed using Lesion segmentation tool algorithms (LST): the Lesion growth algorithm (LGA) in SPM8 and 12 and the Lesion prediction algorithm (LPA). To assess reproducibility, we applied the LST longitudinal pipeline to the LGA and LPA outputs for both the test and retest scans. We evaluated volumetric and spatial accuracy comparing LGA and LPA with manual tracing, and for reproducibility the test versus retest. Median volume difference between automated WMH and manual segmentations (mL) was -0.22[IQR = 0.50] for LGA-SPM8, -0.12[0.57] for LGA-SPM12, -0.09[0.53] for LPA, while the spatial accuracy (Dice Coefficient) was 0.29[0.31], 0.33[0.26] and 0.41[0.23], respectively. The reproducibility analysis showed a median reproducibility error of 20%[IQR = 41] for LGA-SPM8, 14% [31] for LGA-SPM12 and 10% [27] with the LPA cross-sectional pipeline. Applying the LST longitudinal pipeline, the reproducibility errors were considerably reduced (LGA: 0%[IQR = 0], p < 0.001; LPA: 0% [3], p < 0.001) compared to those derived using the cross-sectional algorithms. The DC using the longitudinal pipeline was excellent (median = 1) for LGA [IQR = 0] and LPA [0.02]. LST algorithms showed moderate accuracy and good reproducibility. Therefore, it can be used as a reliable cross-sectional and longitudinal tool in multi-site studies.
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Affiliation(s)
- Federica Ribaldi
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, Geneva University Hospitals, Geneva, Switzerland.
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Clarissa Ferrari
- Unit of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | | | | | - Anna Mega
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Antonio Ferretti
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy; Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece; Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Beatriz Bosch
- Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Bernhard W Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | | | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Flavio Nobili
- Dept. of Neuroscience (DINOGMI), University of Genoa, Italy; IRCCS Ospedale Policlinico San Martino Genova, Italy
| | - Franco Alessandrini
- Radiology, Dept. of Diagnostic and Public Health, Verona University, Verona, Italy
| | - Frederik Barkhof
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Helene Gros-Dagnac
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Université Toulouse 3 Paul Sabatier, UMR 825 Imagerie Cérébrale et Handicaps Neurologiques, F-31024 Toulouse, France
| | - Jean-Philippe Ranjeva
- Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, UMR 7289, 13005 Marseille, France
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University, Göttingen, Germany
| | - Joost Kuijer
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Julien Sein
- Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, UMR 7289, 13005 Marseille, France
| | | | - Luca Roccatagliata
- IRCCS Ospedale Policlinico San Martino Genova, Italy; Dept. of Health Sciences (DISSAL), University of Genoa, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Magda Tsolaki
- 1st Department of Neurology, Aristotle University of Thessaloniki, Makedonia, Greece
| | | | | | | | - Martina Montalti
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy; Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Mira Didic
- APHM, Timone, Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Núria Bargallo
- Department of Neuroradiology and Magnetic Resonance Image Core Facility, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Olivier Blin
- Aix Marseille University, UMR-INSERM 1106, Service de Pharmacologie Clinique, AP-HM, Marseille, France
| | - Paolo M Rossini
- Dept. Neuroscience & Neurorehabilitation, IRCCS-San Raffaele-Pisana, Rome, Italy
| | - Peter Schonknecht
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Piero Floridi
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Régis Bordet
- Univ. Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition - Degenerative and Vascular Cognitive Disorders-U1172. F-59000 Lille, France
| | - Renaud Lopes
- Univ. Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition - Degenerative and Vascular Cognitive Disorders-U1172. F-59000 Lille, France
| | | | - Stephanie Bombois
- Univ. Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition - Degenerative and Vascular Cognitive Disorders-U1172. F-59000 Lille, France
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jill C Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, United Kingdom
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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11
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Landelle C, Anton JL, Nazarian B, Sein J, Gharbi A, Felician O, Kavounoudias A. Functional brain changes in the elderly for the perception of hand movements: A greater impairment occurs in proprioception than touch. Neuroimage 2020; 220:117056. [PMID: 32562781 DOI: 10.1016/j.neuroimage.2020.117056] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/09/2020] [Accepted: 06/11/2020] [Indexed: 11/28/2022] Open
Abstract
Unlike age-related brain changes linked to motor activity, neural alterations related to self-motion perception remain unknown. Using fMRI data, we investigated age-related changes in the central processing of somatosensory information by inducing illusions of right-hand rotations with specific proprioceptive and tactile stimulation. Functional connectivity during resting-state (rs-FC) was also compared between younger and older participants. Results showed common sensorimotor activations in younger and older adults during proprioceptive and tactile illusions, but less deactivation in various right frontal regions and the precuneus were found in the elderly. Older participants exhibited a less-lateralized pattern of activity across the primary sensorimotor cortices (SM1) in the proprioceptive condition only. This alteration of the interhemispheric balance correlated with declining individual performance in illusion velocity perception from a proprioceptive, but not a tactile, origin. By combining task-related data, rs-FC and behavioral performance, this study provided consistent results showing that hand movement perception was altered in the elderly, with a more pronounced deterioration of the proprioceptive system, likely due to the breakdown of inhibitory processes with aging. Nevertheless, older people could benefit from an increase in internetwork connectivity to overcome this kinesthetic decline.
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Affiliation(s)
- Caroline Landelle
- Aix Marseille Univ, CNRS, LNSC (Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260), Marseille, France; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Jean-Luc Anton
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - Bruno Nazarian
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - Julien Sein
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone - UMR 7289), Marseille, France
| | - Ali Gharbi
- Aix Marseille Univ, CNRS, LNSC (Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260), Marseille, France
| | - Olivier Felician
- Aix Marseille Univ, INSERM, INS (Institut des Neurosciences des Systèmes - UMR1106), Marseille, France
| | - Anne Kavounoudias
- Aix Marseille Univ, CNRS, LNSC (Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260), Marseille, France.
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12
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Palmis S, Velay JL, Habib M, Anton JL, Nazarian B, Sein J, Longcamp M. The handwriting brain in middle childhood. Dev Sci 2020; 24:e13046. [PMID: 33035404 DOI: 10.1111/desc.13046] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 07/22/2020] [Accepted: 09/03/2020] [Indexed: 01/01/2023]
Abstract
While the brain network supporting handwriting has previously been defined in adults, its organization in children has never been investigated. We compared the handwriting network of 23 adults and 42 children (8- to 11-year-old). Participants were instructed to write the alphabet, the days of the week, and to draw loops while being scanned. The handwriting network previously described in adults (five key regions: left dorsal premotor cortex, superior parietal lobule (SPL), fusiform and inferior frontal gyri, and right cerebellum) was also strongly activated in children. The right precentral gyrus and the right anterior cerebellum were more strongly activated in adults than in children, while the left fusiform gyrus (FuG) was more strongly activated in children than in adults. Finally, we found that, contrary to adults, children recruited prefrontal regions to complete the writing task. This constitutes the first comparative investigation of the neural correlates of writing in children and adults. Our results suggest that the network supporting handwriting is already established in middle childhood. They also highlight the major role of prefrontal regions in learning this complex skill and the importance of right precentral regions and cerebellum in the performance of automated handwriting.
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Affiliation(s)
- Sarah Palmis
- Aix-Marseille Univ, CNRS, LNC, Marseille, France
| | | | - Michel Habib
- Aix-Marseille Univ, CNRS, LNC, Marseille, France
| | - Jean-Luc Anton
- Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille, France
| | - Bruno Nazarian
- Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille, France
| | - Julien Sein
- Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille, France
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13
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Landelle C, Sein J, Anton JL, Nazarian B, Felician O, Kavounoudias A. The aging brain: A set of functional MRI data acquired at rest and during exposure to tactile or muscle proprioceptive stimulation in healthy young and older volunteers. Data Brief 2020; 31:105939. [PMID: 32671149 PMCID: PMC7339028 DOI: 10.1016/j.dib.2020.105939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 06/23/2020] [Indexed: 11/19/2022] Open
Abstract
There is a growing interest in understanding functional brain decline with aging. The dataset provides raw anatomical and functional images recorded in a group of 20 young volunteers and in another group of 19 older volunteers during a 10-minute period of resting state followed by four consecutive task-related runs. During each task-related run, the participants were exposed to two types of sensory stimulation: a tactile stimulation consisting in a textured-disk rotation under the palm of their right hand or a muscle proprioceptive stimulation consisting in a mechanical vibration applied to the muscle tendon of their wrist abductor. These two stimulations are known to evoke illusory sensations of hand movement, while the hand remains actually still. Therefore, the dataset is meant to be used to assess age-related functional brain changes during the perception of hand movements based on muscle proprioception or touch individually. It also allows to explore any structural changes or functional resting connectivity alteration with aging. The dataset is a supplement to the research findings in the paper ‘Functional brain changes in the elderly for the perception of hand movements: a greater impairment occurs in proprioception than touch published in NeuroImage.
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Affiliation(s)
- Caroline Landelle
- Aix Marseille Univ, CNRS, LNSC (Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260), 3 place Victor Hugo 13331, Marseille, France
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Julien Sein
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone – UMR 7289), Marseille, France
| | - Jean-Luc Anton
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone – UMR 7289), Marseille, France
| | - Bruno Nazarian
- Aix Marseille Univ, CNRS, Centre IRM-INT@CERIMED (Institut des Neurosciences de la Timone – UMR 7289), Marseille, France
| | - Olivier Felician
- Aix Marseille Univ, INSERM, INS (Institut des Neurosciences des Systèmes - UMR1106), Marseille, France
| | - Anne Kavounoudias
- Aix Marseille Univ, CNRS, LNSC (Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260), 3 place Victor Hugo 13331, Marseille, France
- Corresponding author.
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14
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Quattrini G, Pievani M, Jovicich J, Aiello M, Bargalló N, Barkhof F, Bartres-Faz D, Beltramello A, Pizzini FB, Blin O, Bordet R, Caulo M, Constantinides M, Didic M, Drevelegas A, Ferretti A, Fiedler U, Floridi P, Gros-Dagnac H, Hensch T, Hoffmann KT, Kuijer JP, Lopes R, Marra C, Müller BW, Nobili F, Parnetti L, Payoux P, Picco A, Ranjeva JP, Roccatagliata L, Rossini PM, Salvatore M, Schonknecht P, Schott BH, Sein J, Soricelli A, Tarducci R, Tsolaki M, Visser PJ, Wiltfang J, Richardson JC, Frisoni GB, Marizzoni M. Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors. Neuroimage 2020; 218:116932. [PMID: 32416226 DOI: 10.1016/j.neuroimage.2020.116932] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The amygdala and the hippocampus are two limbic structures that play a critical role in cognition and behavior, however their manual segmentation and that of their smaller nuclei/subfields in multicenter datasets is time consuming and difficult due to the low contrast of standard MRI. Here, we assessed the reliability of the automated segmentation of amygdalar nuclei and hippocampal subfields across sites and vendors using FreeSurfer in two independent cohorts of older and younger healthy adults. METHODS Sixty-five healthy older (cohort 1) and 68 younger subjects (cohort 2), from the PharmaCog and CoRR consortia, underwent repeated 3D-T1 MRI (interval 1-90 days). Segmentation was performed using FreeSurfer v6.0. Reliability was assessed using volume reproducibility error (ε) and spatial overlapping coefficient (DICE) between test and retest session. RESULTS Significant MRI site and vendor effects (p < .05) were found in a few subfields/nuclei for the ε, while extensive effects were found for the DICE score of most subfields/nuclei. Reliability was strongly influenced by volume, as ε correlated negatively and DICE correlated positively with volume size of structures (absolute value of Spearman's r correlations >0.43, p < 1.39E-36). In particular, volumes larger than 200 mm3 (for amygdalar nuclei) and 300 mm3 (for hippocampal subfields, except for molecular layer) had the best test-retest reproducibility (ε < 5% and DICE > 0.80). CONCLUSION Our results support the use of volumetric measures of larger amygdalar nuclei and hippocampal subfields in multisite MRI studies. These measures could be useful for disease tracking and assessment of efficacy in drug trials.
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Affiliation(s)
- Giulia Quattrini
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
| | - Michela Pievani
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Jorge Jovicich
- Center for Mind Brain Sciences, University of Trento, Trento, Italy
| | | | - Núria Bargalló
- Department of Neuroradiology and Image Research Platform, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, UK
| | - David Bartres-Faz
- Department of Medicine and Health Sciences, Faculty of Medicine, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Alberto Beltramello
- Department of Radiology, IRCCS "Sacro Cuore-Don Calabria", Negrar, Verona, Italy
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Olivier Blin
- Aix-Marseille University, UMR-INSERM 1106, Service de Pharmacologie Clinique, APHM, Marseille, France
| | - Regis Bordet
- Aix-Marseille Université, INSERM U 1106, 13005, Marseille, France
| | | | | | - Mira Didic
- Aix-Marseille Université, Inserm, Institut de Neurosciences des Systèmes (INS) UMR_S 1106, 13005, Marseille, France; APHM, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France
| | | | | | - Ute Fiedler
- Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Piero Floridi
- Perugia General Hospital, Neuroradiology Unit, Perugia, Italy
| | - Hélène Gros-Dagnac
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | | | - Joost P Kuijer
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Renaud Lopes
- INSERM U1171, Neuroradiology Department, University Hospital, Lille, France
| | - Camillo Marra
- Catholic University, Fondazione Policlinico A. Gemelli, IRCCS, Rome, Italy
| | - Bernhard W Müller
- LVR-Hospital Essen, Department for Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Germany
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy; IRCCS, Ospedale Policlinico San Martino, Genova, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Agnese Picco
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | | | - Luca Roccatagliata
- IRCCS, Ospedale Policlinico San Martino, Genova, Italy; Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | - Paolo M Rossini
- Dept. Neuroscience & Rehabilitation, IRCCS San Raffaele-Pisana, Rome, Italy
| | | | - Peter Schonknecht
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Björn H Schott
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Göttingen, Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix-Marseille University, CNRS, Marseille, France
| | | | | | - Magda Tsolaki
- Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Pieter J Visser
- Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, Netherlands; Maastricht University, Maastricht, Netherlands
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Göttingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Jill C Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, United Kingdom
| | - Giovanni B Frisoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, Hospitals and University of Geneva, Geneva, Switzerland
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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15
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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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Planton S, Chanoine V, Sein J, Anton JL, Nazarian B, Pallier C, Pattamadilok C. Top-down activation of the visuo-orthographic system during spoken sentence processing. Neuroimage 2019; 202:116135. [PMID: 31470125 DOI: 10.1016/j.neuroimage.2019.116135] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Revised: 08/09/2019] [Accepted: 08/26/2019] [Indexed: 11/28/2022] Open
Abstract
The left ventral occipitotemporal cortex (vOT) is considered the key area of the visuo-orthographic system. However, some studies reported that the area is also involved in speech processing tasks, especially those that require activation of orthographic knowledge. These findings suggest the existence of a top-down activation mechanism allowing such cross-modal activation. Yet, little is known about the involvement of the vOT in more natural speech processing situations like spoken sentence processing. Here, we addressed this issue in a functional Magnetic Resonance Imaging (fMRI) study while manipulating the impacts of two factors, i.e., task demands (semantic vs. low-level perceptual task) and the quality of speech signals (sentences presented against clear vs. noisy background). Analyses were performed at the levels of whole brain and region-of-interest (ROI) focusing on the vOT voxels individually identified through a reading task. Whole brain analysis showed that processing spoken sentences induced activity in a large network including the regions typically involved in phonological, articulatory, semantic and orthographic processing. ROI analysis further specified that a significant part of the vOT voxels that responded to written words also responded to spoken sentences, thus, suggesting that the same area within the left occipitotemporal pathway contributes to both reading and speech processing. Interestingly, both analyses provided converging evidence that vOT responses to speech were sensitive to both task demands and quality of speech signals: Compared to the low-level perceptual task, activity of the area increased when efforts on comprehension were required. The impact of background noise depended on task demands. It led to a decrease of vOT activity in the semantic task but not in the low-level perceptual task. Our results provide new insights into the function of this key area of the reading network, notably by showing that its speech-induced top-down activation also generalizes to ecological speech processing situations.
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Affiliation(s)
- Samuel Planton
- Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France; INSERM-CEA, Cognitive Neuroimaging Unit, Neurospin Center, Gif-sur-Yvette, France.
| | - Valérie Chanoine
- Aix Marseille Univ, Institute of Language, Communication and the Brain, Brain and Language Research Institute, Aix-en-Provence, France
| | - Julien Sein
- Aix Marseille Univ, CNRS, Centre IRM-INT, INT UMR, 7289, Marseille, France
| | - Jean-Luc Anton
- Aix Marseille Univ, CNRS, Centre IRM-INT, INT UMR, 7289, Marseille, France
| | - Bruno Nazarian
- Aix Marseille Univ, CNRS, Centre IRM-INT, INT UMR, 7289, Marseille, France
| | - Christophe Pallier
- INSERM-CEA, Cognitive Neuroimaging Unit, Neurospin Center, Gif-sur-Yvette, France
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17
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Brun L, Pron A, Sein J, Deruelle C, Coulon O. Diffusion MRI: Assessment of the Impact of Acquisition and Preprocessing Methods Using the BrainVISA-Diffuse Toolbox. Front Neurosci 2019; 13:536. [PMID: 31275091 PMCID: PMC6593278 DOI: 10.3389/fnins.2019.00536] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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: 12/18/2018] [Accepted: 05/08/2019] [Indexed: 12/28/2022] Open
Abstract
Diffusion MR images are prone to severe geometric distortions induced by head movement, eddy-current and inhomogeneity of magnetic susceptibility. Various correction methods have been proposed that depend on the choice of the acquisition settings and potentially provide highly different data quality. However, the impact of this choice has not been evaluated in terms of the ratio between scan time and preprocessed data quality. This study aims at investigating the impact of six well-known preprocessing methods, each associated to specific acquisition settings, on the outcome of diffusion analyses. For this purpose, we developed a comprehensive toolbox called Diffuse which automatically guides the user to the best preprocessing pipeline according to the input data. Using MR images of 20 subjects from the HCP dataset, we compared the six pre-processing pipelines regarding the following criteria: the ability to recover brain’s true geometry, the tensor model estimation and derived indices in the white matter, and finally the spatial dispersion of six well known connectivity pathways. As expected the pipeline associated to the longer acquisition fully repeated with reversed phase-encoding (RPE) yielded the higher data quality and was used as a reference to evaluate the other pipelines. In this way, we highlighted several significant aspects of other pre-processing pipelines. Our results first established that eddy-current correction improves the tensor-fitting performance with a localized impact especially in the corpus callosum. Concerning susceptibility distortions, we showed that the use of a field map is not sufficient and involves additional smoothing, yielding to an artificial decrease of tensor-fitting error. Of most importance, our findings demonstrate that, for an equivalent scan time, the acquisition of a b0 volume with RPE ensures a better brain’s geometry reconstruction and local improvement of tensor quality, without any smoothing of the image. This was found to be the best scan time/data quality compromise. To conclude, this study highlights and attempts to quantify the strong dependence of diffusion metrics on acquisition settings and preprocessing methods.
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Affiliation(s)
- Lucile Brun
- Institut de Neurosciences de La Timone, Aix-Marseille University, CNRS, UMR 7289, Marseille, France
| | - Alexandre Pron
- Institut de Neurosciences de La Timone, Aix-Marseille University, CNRS, UMR 7289, Marseille, France
| | - Julien Sein
- Institut de Neurosciences de La Timone, Aix-Marseille University, CNRS, UMR 7289, Marseille, France
| | - Christine Deruelle
- Institut de Neurosciences de La Timone, Aix-Marseille University, CNRS, UMR 7289, Marseille, France
| | - Olivier Coulon
- Institut de Neurosciences de La Timone, Aix-Marseille University, CNRS, UMR 7289, Marseille, France
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18
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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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19
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Ribaldi F, Marizzoni M, Jovicich J, Ferrari C, Bosch B, Bartrés‐Faz D, Müller BW, Wiltfang J, Fiedler U, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Bordet R, Sein J, Ranjeva J, Didic M, Gros‐Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargallo N, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinides M, Drevelegas A, Rossini PM, Marra C, Schonknecht P, Hensch T, Hoffmann K, Kuijer J, Visser PJ, Barkhof F, Frisoni GB. [P3–062]: ACROSS‐SESSION REPRODUCIBILITY OF AUTOMATIC WHITE MATTER HYPERINTENSITIES SEGMENTATION: A EUROPEAN MULTI‐SITE 3T STUDY. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Moira Marizzoni
- IRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
| | | | | | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology DepartmentIDIBAPSHospital Clínic de BarcelonaBarcelonaSpain
| | | | | | | | - Ute Fiedler
- Institutes and Clinics of the University Duisburg‐EssenEssenGermany
| | - Luca Roccatagliata
- Department of NeuroscienceOphthalmology and Genetics University of GenoaGenoaItaly
| | - Agnese Picco
- Neurology Unit, IRCCS AOU San MartinoUniversity of GenoaGenoaItaly
| | | | | | | | - Renaud Lopes
- INSERM U1171 / Neuroradiology DepartmentUniversity HospitalLilleFrance
| | - Regis Bordet
- Service de Pharmacologie‐Hôpital Huriez‐CHRULilleFrance
| | - Julien Sein
- CRMBM‐CEMEREM, UMR 7339Aix Marseille UniversityMarseilleFrance
| | - Jean‐Philippe Ranjeva
- CIC‐UPCET, CHU La Timone, AP‐HM, UMR CNRS‐Universite de la MediterraneeMarseilleFrance
| | - Mira Didic
- Service de Neurologie et NeuropsychologieMarseilleFrance
| | - Helene Gros‐Dagnac
- INSERM. Imagerie Cérébrale Et Handicaps Neurologiquies, UMR825ToulouseFrance
| | | | | | | | | | - Núria Bargallo
- Imaging Diagnostic Center Radiology DepartmentHospital Clínic i Provincial de BarcelonaBarcelonaSpain
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical SciencesUniversity G. d'AnnunzioChietiItaly
| | | | | | | | | | | | | | - Piero Floridi
- Perugia General HospitalNeuroradiology UnitPerugiaItaly
| | - Magda Tsolaki
- Aristotle University of ThessalonikiThessalonikiGreece
| | | | | | | | | | - Peter Schonknecht
- Department of Psychiatry and PsychotherapyUniversity Hospital Leipzig, GermanyLeipzigGermany
| | | | | | - Joost Kuijer
- VU University Medical CenterAmsterdamNetherlands
| | - Pieter Jelle Visser
- Department of NeurologyAlzheimer Centre, VU Medical CentreAmsterdamNetherlands
- Maastricht UniversityMaastrichtNetherlands
| | - Frederik Barkhof
- Radiology & Nuclear MedicineVU University Medical CenterAmsterdamNetherlands
| | - Giovanni B. Frisoni
- Memory Clinic and LANVIE ‐ Laboratory of Neuroimaging of AgingUniversity Hospitals and University of GenevaGenevaSwitzerland
- Laboratory of Alzheimer's Neuroimaging and Epidemiology ‐ LANEIRCCS Institute ‐ The Saint John of God Clinical Research CentreBresciaItaly
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20
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Albi A, Pasternak O, Minati L, Marizzoni M, Bartrés-Faz D, Bargalló N, Bosch B, Rossini PM, Marra C, Müller B, Fiedler U, Wiltfang J, Roccatagliata L, Picco A, Nobili FM, Blin O, Sein J, Ranjeva JP, Didic M, Bombois S, Lopes R, Bordet R, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Frisoni G, Jovicich J. Free water elimination improves test-retest reproducibility of diffusion tensor imaging indices in the brain: A longitudinal multisite study of healthy elderly subjects. Hum Brain Mapp 2016; 38:12-26. [PMID: 27519630 DOI: 10.1002/hbm.23350] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [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: 01/22/2016] [Revised: 07/11/2016] [Accepted: 08/04/2016] [Indexed: 01/16/2023] Open
Abstract
Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test-retest reproducibility. This study compares a bi-tensor model for FWE with DTI by extending a previous longitudinal-reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55-80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12-26, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Angela Albi
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ludovico Minati
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Moira Marizzoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni di Dio-FBF, Brescia, Italy
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Núria Bargalló
- Department of Neuroradiology and Magnetic Resonance Image core Facility, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, and IDIBAPS, Barcelona, Spain
| | - Paolo Maria Rossini
- Department Geriatrics Neuroscience & Orthopedics, Catholic University, Policlinic Gemelli, Rome, Italy.,IRCSS S.Raffaele Pisana, Rome, Italy
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | - Bernhard Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg August University, Göttingen, Germany
| | - Luca Roccatagliata
- Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy.,Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Flavio Mariano Nobili
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Oliver Blin
- Pharmacology, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University-CNRS, UMR, Marseille, 7289, France
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix Marseille Université-CNRS, Marseille, France
| | | | - Mira Didic
- APHM, CHU Timone, Service de Neurologie et Neuropsychologie, Marseille, France.,Aix Marseille Université, Inserm, INS UMR_S 1106, Marseille, 13005, France
| | - Stephanie Bombois
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Renaud Lopes
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Régis Bordet
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Hélène Gros-Dagnac
- INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France.,Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France
| | - Pierre Payoux
- INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France.,Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France
| | | | | | | | - Antonio Ferretti
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | | | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy.,University of Naples Parthenope, Naples, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Piero Floridi
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece.,Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Giovanni Frisoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni di Dio-FBF, Brescia, Italy.,Memory Clinic and LANVIE Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
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21
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Marrakchi-Kacem L, Vignaud A, Sein J, Germain J, Henry TR, Poupon C, Hertz-Pannier L, Lehéricy S, Colliot O, Van de Moortele PF, Chupin M. Robust imaging of hippocampal inner structure at 7T: in vivo acquisition protocol and methodological choices. MAGMA 2016; 29:475-89. [PMID: 27138193 DOI: 10.1007/s10334-016-0552-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 03/11/2016] [Accepted: 03/12/2016] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Motion-robust multi-slab imaging of hippocampal inner structure in vivo at 7T. MATERIALS AND METHODS Motion is a crucial issue for ultra-high resolution imaging, such as can be achieved with 7T MRI. An acquisition protocol was designed for imaging hippocampal inner structure at 7T. It relies on a compromise between anatomical details visibility and robustness to motion. In order to reduce acquisition time and motion artifacts, the full slab covering the hippocampus was split into separate slabs with lower acquisition time. A robust registration approach was implemented to combine the acquired slabs within a final 3D-consistent high-resolution slab covering the whole hippocampus. Evaluation was performed on 50 subjects overall, made of three groups of subjects acquired using three acquisition settings; it focused on three issues: visibility of hippocampal inner structure, robustness to motion artifacts and registration procedure performance. RESULTS Overall, T2-weighted acquisitions with interleaved slabs proved robust. Multi-slab registration yielded high quality datasets in 96 % of the subjects, thus compatible with further analyses of hippocampal inner structure. CONCLUSION Multi-slab acquisition and registration setting is efficient for reducing acquisition time and consequently motion artifacts for ultra-high resolution imaging of the inner structure of the hippocampus.
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Affiliation(s)
- Linda Marrakchi-Kacem
- UPMC Univ Paris 06, UMR S 1127, ICM, Sorbonne Universités, 75013, Paris, France. .,Inserm, U1127, 75013, Paris, France. .,CNRS, UMR 7225, 75013, Paris, France. .,ICM, 75013, Paris, France. .,Inria Paris-Rocquencourt, 75013, Paris, France. .,Institut Supérieur de Biotechnologies de Sidi Thabet, Ariana-Tunis, Tunisia.
| | | | - Julien Sein
- Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA
| | - Johanne Germain
- UPMC Univ Paris 06, UMR S 1127, ICM, Sorbonne Universités, 75013, Paris, France.,Inserm, U1127, 75013, Paris, France.,CNRS, UMR 7225, 75013, Paris, France.,ICM, 75013, Paris, France.,Inria Paris-Rocquencourt, 75013, Paris, France
| | - Thomas R Henry
- Department of Neurology, University of Minnesota, Minneapolis, MN, USA
| | - Cyril Poupon
- UNIRS, NeuroSpin, I2BM, DSV, CEA, Saclay, France
| | - Lucie Hertz-Pannier
- UNIACT, NeuroSpin, I2BM, DSV, CEA, Saclay, France.,INSERM U1129, Paris, France.,Paris-Descartes University, CEA, Gif sur Yvette, France
| | - Stéphane Lehéricy
- UPMC Univ Paris 06, UMR S 1127, ICM, Sorbonne Universités, 75013, Paris, France.,Inserm, U1127, 75013, Paris, France.,CNRS, UMR 7225, 75013, Paris, France.,ICM, 75013, Paris, France.,Centre de Neuro-Imagerie de Recherche CENIR, AP-HP, Hopital de la Pitie Salpetriere, Paris, France
| | - Olivier Colliot
- UPMC Univ Paris 06, UMR S 1127, ICM, Sorbonne Universités, 75013, Paris, France.,Inserm, U1127, 75013, Paris, France.,CNRS, UMR 7225, 75013, Paris, France.,ICM, 75013, Paris, France.,Inria Paris-Rocquencourt, 75013, Paris, France
| | | | - Marie Chupin
- UPMC Univ Paris 06, UMR S 1127, ICM, Sorbonne Universités, 75013, Paris, France.,Inserm, U1127, 75013, Paris, France.,CNRS, UMR 7225, 75013, Paris, France.,ICM, 75013, Paris, France.,Inria Paris-Rocquencourt, 75013, Paris, France
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22
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Marchitelli R, Minati L, Marizzoni M, Bosch B, Bartrés-Faz D, Müller BW, Wiltfang J, Fiedler U, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Bordet R, Sein J, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargalló N, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Rossini PM, Marra C, Schönknecht P, Hensch T, Hoffmann KT, Kuijer JP, Visser PJ, Barkhof F, Frisoni GB, Jovicich J. Test-retest reliability of the default mode network in a multi-centric fMRI study of healthy elderly: Effects of data-driven physiological noise correction techniques. Hum Brain Mapp 2016; 37:2114-32. [PMID: 26990928 DOI: 10.1002/hbm.23157] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 02/16/2016] [Accepted: 02/17/2016] [Indexed: 12/31/2022] Open
Abstract
Understanding how to reduce the influence of physiological noise in resting state fMRI data is important for the interpretation of functional brain connectivity. Limited data is currently available to assess the performance of physiological noise correction techniques, in particular when evaluating longitudinal changes in the default mode network (DMN) of healthy elderly participants. In this 3T harmonized multisite fMRI study, we investigated how different retrospective physiological noise correction (rPNC) methods influence the within-site test-retest reliability and the across-site reproducibility consistency of DMN-derived measurements across 13 MRI sites. Elderly participants were scanned twice at least a week apart (five participants per site). The rPNC methods were: none (NPC), Tissue-based regression, PESTICA and FSL-FIX. The DMN at the single subject level was robustly identified using ICA methods in all rPNC conditions. The methods significantly affected the mean z-scores and, albeit less markedly, the cluster-size in the DMN; in particular, FSL-FIX tended to increase the DMN z-scores compared to others. Within-site test-retest reliability was consistent across sites, with no differences across rPNC methods. The absolute percent errors were in the range of 5-11% for DMN z-scores and cluster-size reliability. DMN pattern overlap was in the range 60-65%. In particular, no rPNC method showed a significant reliability improvement relative to NPC. However, FSL-FIX and Tissue-based physiological correction methods showed both similar and significant improvements of reproducibility consistency across the consortium (ICC = 0.67) for the DMN z-scores relative to NPC. Overall these findings support the use of rPNC methods like tissue-based or FSL-FIX to characterize multisite longitudinal changes of intrinsic functional connectivity. Hum Brain Mapp 37:2114-2132, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Rocco Marchitelli
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Ludovico Minati
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy.,Scientific Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Moira Marizzoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni Di Dio-FBF, Brescia, Italy
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, and IDIBAPS, Barcelona, Spain
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat De Barcelona and IDIBAPS, Barcelona, Spain
| | - Bernhard W Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg August University, Göttingen, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Luca Roccatagliata
- Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy.,Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Oliver Blin
- Pharmacology, Assistance Publique - Hôpitaux De Marseille, Aix-Marseille University-CNRS, UMR, Marseille, 7289, France
| | - Stephanie Bombois
- University of Lille, INSERM, CHU Lille, U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Renaud Lopes
- University of Lille, INSERM, CHU Lille, U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Régis Bordet
- University of Lille, INSERM, CHU Lille, U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix Marseille Université-CNRS, Marseille, France
| | | | - Mira Didic
- APHM, CHU Timone, Service De Neurologie Et Neuropsychologie, Marseille, France.,Aix-Marseille Université, INSERM INS UMR_S 1106, Marseille, 13005, France
| | - Hélène Gros-Dagnac
- INSERM, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, Toulouse, France.,Université De Toulouse, UPS, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, CHU Purpan, Place Du Dr Baylac, Toulouse Cedex 9, France
| | - Pierre Payoux
- INSERM, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, Toulouse, France.,Université De Toulouse, UPS, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, CHU Purpan, Place Du Dr Baylac, Toulouse Cedex 9, France
| | | | | | | | - Núria Bargalló
- Department of Neuroradiology and Magnetic Resonace Image Core Facility, Hospital Clínic De Barcelona, IDIBAPS, Barcelona, Spain
| | - Antonio Ferretti
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | | | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy.,University of Naples Parthenope, Naples, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Piero Floridi
- Perugia General Hospital, Neuroradiology Unit, Perugia, Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece.,Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Paolo Maria Rossini
- Department of Geriatrics, Neuroscience & Orthopaedics, Catholic University, Policlinic Gemelli, Rome, Italy.,IRCSS S.Raffaele Pisana, Rome, Italy
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | - Peter Schönknecht
- Department of Psychiatry, University Hospital Leipzig, Leipzig, Germany
| | - Tilman Hensch
- Department of Psychiatry, University Hospital Leipzig, Leipzig, Germany
| | | | - Joost P Kuijer
- Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Alzheimer Centre and Department of Neurology, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands.,Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, University of Maastricht, Maastricht, the Netherlands
| | - Frederik Barkhof
- Alzheimer Centre and Department of Neurology, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Giovanni B Frisoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni Di Dio-FBF, Brescia, Italy.,Memory Clinic and LANVIE, Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
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23
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Marizzoni M, Antelmi L, Bosch B, Bartrés-Faz D, Müller BW, Wiltfang J, Fiedler U, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Sein J, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargalló N, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Salvadori N, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Rossini PM, Marra C, Hoffmann KT, Hensch T, Schönknecht P, Kuijer JP, Visser PJ, Barkhof F, Bordet R, Frisoni GB, Jovicich J. Longitudinal reproducibility of automatically segmented hippocampal subfields: A multisite European 3T study on healthy elderly. Hum Brain Mapp 2015; 36:3516-27. [PMID: 26043939 DOI: 10.1002/hbm.22859] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Revised: 04/28/2015] [Accepted: 05/16/2015] [Indexed: 12/20/2022] Open
Abstract
Recently, there has been an increased interest in the use of automatically segmented subfields of the human hippocampal formation derived from magnetic resonance imaging (MRI). However, little is known about the test-retest reproducibility of such measures, particularly in the context of multisite studies. Here, we report the reproducibility of automated Freesurfer hippocampal subfields segmentations in 65 healthy elderly enrolled in a consortium of 13 3T MRI sites (five subjects per site). Participants were scanned in two sessions (test and retest) at least one week apart. Each session included two anatomical 3D T1 MRI acquisitions harmonized in the consortium. We evaluated the test-retest reproducibility of subfields segmentation (i) to assess the effects of averaging two within-session T1 images and (ii) to compare subfields with whole hippocampus volume and spatial reliability. We found that within-session averaging of two T1 images significantly improved the reproducibility of all hippocampal subfields but not that of the whole hippocampus. Volumetric and spatial reproducibility across MRI sites were very good for the whole hippocampus, CA2-3, CA4-dentate gyrus (DG), subiculum (reproducibility error∼2% and DICE > 0.90), good for CA1 and presubiculum (reproducibility error ∼ 5% and DICE ∼ 0.90), and poorer for fimbria and hippocampal fissure (reproducibility error ∼ 15% and DICE < 0.80). Spearman's correlations confirmed that test-retest reproducibility improved with volume size. Despite considerable differences of MRI scanner configurations, we found consistent hippocampal subfields volumes estimation. CA2-3, CA4-DG, and sub-CA1 (subiculum, presubiculum, and CA1 pooled together) gave test-retest reproducibility similar to the whole hippocampus. Our findings suggest that the larger hippocampal subfields volume may be reliable longitudinal markers in multisite studies.
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Affiliation(s)
- Moira Marizzoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine - IRCCS San Giovanni Di Dio-FBF, Brescia, Italy
| | - Luigi Antelmi
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Beatriz Bosch
- Department of Psychiatry and Clinical Psychobiology, Universitat De Barcelona and IDIBAPS, Barcelona, Spain
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat De Barcelona and IDIBAPS, Barcelona, Spain
| | - Bernhard W Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University, Göttingen, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Luca Roccatagliata
- Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Olivier Blin
- Pharmacology, Assistance Publique - Hôpitaux De Marseille, Aix-Marseille University - CNRS, UMR 7289, Marseille, France
| | - Stephanie Bombois
- Department of Neurology, INSERM U1171, Lille University, Lille, France
| | - Renaud Lopes
- Department of Neuroradiology, INSERM U1171, Lille University, Lille, France
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix Marseille Université - CNRS, Marseille, France
| | | | - Mira Didic
- Service de Neurologie et Neuropsychologie, APHM, CHU Timone, Marseille, France
- Aix-Marseille Université, Inserm, INS UMR_S 1106, 13005, Marseille, France
| | - Hélène Gros-Dagnac
- Imagerie Cérébrale Et Handicaps Neurologiques, INSERM, Toulouse, F, 31024, France
- Université Toulouse 3 Paul Sabatier, UMR 825 Imagerie Cérébrale Et Handicaps Neurologiques, Toulouse, F, 31024, France
| | - Pierre Payoux
- Imagerie Cérébrale Et Handicaps Neurologiques, INSERM, Toulouse, F, 31024, France
- Université Toulouse 3 Paul Sabatier, UMR 825 Imagerie Cérébrale Et Handicaps Neurologiques, Toulouse, F, 31024, France
| | - Giada Zoccatelli
- Service of Neuroradiology, University Hospital of Verona, Verona, Italy
| | | | | | - Núria Bargalló
- Department of Neuroradiology and Magnetic Resonace Image Core Facility, Hospital Clínic De Barcelona, IDIBAPS, Barcelona, Spain
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | | | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy
- University of Naples Parthenope, Naples, Italy
| | - Nicola Salvadori
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Piero Floridi
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece
- Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Paolo Maria Rossini
- Deptartment of Geriatrics, Neuroscience and Orthopaedics, Catholic University, Policlinic Gemelli, Rome, Italy
- IRCSS S.Raffaele Pisana, Rome, Italy
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | | | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - Peter Schönknecht
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - Joost P Kuijer
- Deptartment of Physics and Medical Technology, VU University Medical Center, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, University of Maastricht, Maastricht, the Netherlands
| | - Frederik Barkhof
- Radiology and Image Analysis Centre (IAC), VU University Medical Center, Amsterdam, the Netherlands
| | - Régis Bordet
- Department of Pharmacology, INSERM U1171, Lille University, Lille, France
| | - Giovanni B Frisoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine - IRCCS San Giovanni Di Dio-FBF, Brescia, Italy
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
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Majidi S, Sein J, Watanabe M, Hassan AE, Van de Moortele PF, Suri MFK, Clark HB, Qureshi AI. Intracranial-derived atherosclerosis assessment: an in vitro comparison between virtual histology by intravascular ultrasonography, 7T MRI, and histopathologic findings. AJNR Am J Neuroradiol 2013; 34:2259-64. [PMID: 23811977 DOI: 10.3174/ajnr.a3631] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND PURPOSE Atherosclerotic plaque composition and structure contribute to the risk of plaque rupture and embolization. Virtual histology by intravascular ultrasonography and high-resolution MR imaging are new imaging modalities that have been used to characterize plaque morphology and composition in peripheral arteries. MATERIALS AND METHODS The objectives of this study were 1) to determine the correlation between virtual histology-intravascular ultrasonography and histopathologic analysis (reference standard) and 2) to explore the comparative results of 7T MR imaging (versus histopathologic analysis), both to be performed in vitro by use of intracranial arterial segments with atherosclerotic plaques. Thirty sets of postmortem samples of intracranial circulation were prepared for the study. These samples included the middle cerebral artery (n = 20), basilar artery (n = 8), and anterior cerebral artery (n = 2). Virtual histology-intravascular ultrasonography and 7T MR imaging were performed in 34 and 10 points of interest, respectively. The formalin-fixed arteries underwent tissue processing and hematoxylin-eosin staining. The plaques were independently categorized according to revised Stary classification after review of plaque morphology and characteristics obtained from 3 modalities. The proportion of fibrous, fibrofatty, attenuated calcium, and necrotic components in the plaques were determined in histology slides and compared with virtual histology-intravascular ultrasonography and MR imaging. RESULTS Of 34 points of interest in the vessels, 32 had atherosclerotic plaques under direct visualization. Plaques were visualized in gray-scale intravascular ultrasonography as increased wall thickness, outer wall irregularity, and protrusion. The positive predictive value of virtual histology-intravascular ultrasonography for identifying fibroatheroma was 80%. Overall, virtual histology-intravascular ultrasonography accurately diagnosed the type of the plaque in 25 of 34 samples, and κ agreement was 0.58 (moderate agreement). The sensitivity and specificity of virtual histology-intravascular ultrasonography readings for fibroatheroma were 78.9% and 73.3%, respectively. The overall sensitivity and specificity for virtual histology-intravascular ultrasonography were 73.5% and 96.6%, respectively. Plaques were identified in 7T MR imaging as increased wall thickness, luminal stenosis, or outer wall protrusion. The positive predictive value of 7T MR imaging for detecting fibrous and attenuated calcium deposits was 88% and 93%, respectively. CONCLUSIONS This in vitro study demonstrated that virtual histology-intravascular ultrasonography and high-resolution MR imaging are reliable imaging tools to detect atherosclerotic plaques within the intracranial arterial wall, though both imaging modalities have some limitations in accurate characterization of the plaque components. Further clinical studies are needed to determine the clinical utility of plaque morphology and composition assessment by noninvasive tests.
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Affiliation(s)
- S Majidi
- Zeenat Qureshi Stroke Research Center
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Schmitter S, Jagadeesan BD, Grande AW, Sein J, Ugurbil K, Van de Moortele P. 4D flow measurements in the superior cerebellar artery at 7 Tesla: feasibility and potential for applications in patients with trigeminal neuralgia. J Cardiovasc Magn Reson 2013. [PMCID: PMC3560064 DOI: 10.1186/1532-429x-15-s1-w21] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Sein J, Chaudhry S, Majidi S, Watanabe M, Tariq N, Auerbach E, Ugurbil K, Van de Moortele PF, Suri M. High Resolution Imaging of Brain Vessels at 7 Tesla (P07.038). Neurology 2012. [DOI: 10.1212/wnl.78.1_meetingabstracts.p07.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Vyth-Dreese FA, Sein J, van de Kasteele W, Dellemijn TAM, van den Bogaard C, Nooijen WJ, de Gast GC, Haanen JBAG, Bex A. Lack of anti-tumour reactivity despite enhanced numbers of circulating natural killer T cells in two patients with metastatic renal cell carcinoma. Clin Exp Immunol 2010; 162:447-59. [PMID: 20942806 DOI: 10.1111/j.1365-2249.2010.04274.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Natural killer T (NK T) cells play a central role as intermediates between innate and adaptive immune responses important to induce anti-tumour reactivity in cancer patients. In two of 14 renal cell carcinoma (RCC) patients, treated with interferon (IFN)-α, we detected significantly enhanced numbers of circulating NK T cells which were typed phenotypically and analysed for anti-tumour reactivity. These NK T cells were T cell receptor (TCR) Vα24/Vβ11(+), 6B11(+) and bound CD1d tetramers. No correlation was observed between NK T frequencies and regulatory T cells (T(regs)), which were also enhanced. NK T cells expressed CD56, CD161, CD45RO and CD69 and were predominantly CD8(+), in contrast to the circulating T cell pool that contained both CD4(+) and CD8(+) T cells, as is found in healthy individuals. It is unlikely that IFN-α triggered the high NK T frequency, as all other patients expressed low to normal NK T numbers. A parallel was observed in IFN-α-related increase in activation of NK T cells with that in conventional T and non-T cells. Normal interleukin (IL)-7, IL-12 and IL-15 plasma levels were found. In one of the patients sporadic NK T cells were detected at the tumour site. α-Galactosylceramide (αGalCer) stimulation of peripheral blood mononuclear cells or isolated NK T cell lines from both patients induced IFN-γ, but no IL-4 and no response towards autologous tumour cells or lysates. The clinical course of disease in both patients was not exceptional with regard to histological subtype and extent of metastatic disease. Therefore, despite a constitutive high peripheral frequency and in vitroαGalCer responsiveness, the NK T cells in the two RCC patients did not show anti-tumour responsiveness.
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Affiliation(s)
- F A Vyth-Dreese
- Division of Immunology, the Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands.
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Lewandowski JR, Sein J, Sass HJ, Grzesiek S, Blackledge M, Emsley L. Measurement of Site-Specific 13C Spin−Lattice Relaxation in a Crystalline Protein. J Am Chem Soc 2010; 132:8252-4. [DOI: 10.1021/ja102744b] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Józef R. Lewandowski
- Université de Lyon, CNRS/ENS-Lyon/UCB-Lyon 1, Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France, Protein Dynamics and Flexibility, Institut de Biologie Structurale Jean Pierre Ebel, UMR 5075, CNRS/CEA/UJF, 38027 Grenoble, France, and Biozentrum, Universität Basel, 4056 Basel, Switzerland
| | - Julien Sein
- Université de Lyon, CNRS/ENS-Lyon/UCB-Lyon 1, Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France, Protein Dynamics and Flexibility, Institut de Biologie Structurale Jean Pierre Ebel, UMR 5075, CNRS/CEA/UJF, 38027 Grenoble, France, and Biozentrum, Universität Basel, 4056 Basel, Switzerland
| | - Hans Jürgen Sass
- Université de Lyon, CNRS/ENS-Lyon/UCB-Lyon 1, Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France, Protein Dynamics and Flexibility, Institut de Biologie Structurale Jean Pierre Ebel, UMR 5075, CNRS/CEA/UJF, 38027 Grenoble, France, and Biozentrum, Universität Basel, 4056 Basel, Switzerland
| | - Stephan Grzesiek
- Université de Lyon, CNRS/ENS-Lyon/UCB-Lyon 1, Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France, Protein Dynamics and Flexibility, Institut de Biologie Structurale Jean Pierre Ebel, UMR 5075, CNRS/CEA/UJF, 38027 Grenoble, France, and Biozentrum, Universität Basel, 4056 Basel, Switzerland
| | - Martin Blackledge
- Université de Lyon, CNRS/ENS-Lyon/UCB-Lyon 1, Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France, Protein Dynamics and Flexibility, Institut de Biologie Structurale Jean Pierre Ebel, UMR 5075, CNRS/CEA/UJF, 38027 Grenoble, France, and Biozentrum, Universität Basel, 4056 Basel, Switzerland
| | - Lyndon Emsley
- Université de Lyon, CNRS/ENS-Lyon/UCB-Lyon 1, Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France, Protein Dynamics and Flexibility, Institut de Biologie Structurale Jean Pierre Ebel, UMR 5075, CNRS/CEA/UJF, 38027 Grenoble, France, and Biozentrum, Universität Basel, 4056 Basel, Switzerland
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Lewandowski JR, Sein J, Blackledge M, Emsley L. Anisotropic collective motion contributes to nuclear spin relaxation in crystalline proteins. J Am Chem Soc 2010; 132:1246-8. [PMID: 19916496 DOI: 10.1021/ja907067j] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A model for calculating the influence of anisotropic collective motions on NMR relaxation rates in crystalline proteins is presented. We show that small-amplitude (<10 degrees ) fluctuations may lead to substantial contributions to the (15)N spin-lattice relaxation rates and propose that the effect of domain motions should be included in solid-state NMR analyses of protein dynamics.
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Affiliation(s)
- Józef R Lewandowski
- Université de Lyon, CNRS/ENS-Lyon/UCB-Lyon 1, Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France
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Laage S, Marchetti A, Sein J, Pierattelli R, Sass HJ, Grzesiek S, Lesage A, Pintacuda G, Emsley L. Band-Selective1H−13C Cross-Polarization in Fast Magic Angle Spinning Solid-State NMR Spectroscopy. J Am Chem Soc 2008; 130:17216-7. [DOI: 10.1021/ja805926d] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Giraud N, Sein J, Pintacuda G, Böckmann A, Lesage A, Blackledge M, Emsley L. Observation of heteronuclear overhauser effects confirms the 15N-1H dipolar relaxation mechanism in a crystalline protein. J Am Chem Soc 2007; 128:12398-9. [PMID: 16984173 DOI: 10.1021/ja064037g] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [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: 11/29/2022]
Abstract
The observation of proton to nitrogen-15 heteronuclear Overhauser effects in the microcrystalline protein Crh is used to confirm that the principal mechanism of relaxation of amide nitrogens is due to the fluctuation of the N-H dipolar couplings caused by N-H bond dynamics. Our observations reveal the central role of water as the main source of proton magnetization, and we provide an analysis of the different pathways that could lead to the observed results.
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Affiliation(s)
- Nicolas Giraud
- Laboratoire de Chimie (UMR 5182 CNRS/ENS), Ecole Normale Supérieure de Lyon, 69364 Lyon, France
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Cadars S, Sein J, Duma L, Lesage A, Pham TN, Baltisberger JH, Brown SP, Emsley L. The refocused INADEQUATE MAS NMR experiment in multiple spin-systems: interpreting observed correlation peaks and optimising lineshapes. J Magn Reson 2007; 188:24-34. [PMID: 17588789 DOI: 10.1016/j.jmr.2007.05.016] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2007] [Accepted: 05/18/2007] [Indexed: 05/12/2023]
Abstract
The robustness of the refocused INADEQUATE MAS NMR pulse sequence for probing through-bond connectivities has been demonstrated in a large range of solid-state applications. This pulse sequence nevertheless suffers from artifacts when applied to multispin systems, e.g. uniformly labeled (13)C solids, which distort the lineshapes and can potentially result in misleading correlation peaks. In this paper, we present a detailed account that combines product-operator analysis, numerical simulations and experiments of the behavior of a three-spin system during the refocused INADEQUATE pulse sequence. The origin of undesired anti-phase contributions to the spectral lineshapes are described, and we show that they do not interfere with the observation of long-range correlations (e.g. two-bond (13)C-(13)C correlations). The suppression of undesired contributions to the refocused INADEQUATE spectra is shown to require the removal of zero-quantum coherences within a z-filter. A method is proposed to eliminate zero-quantum coherences through dephasing by heteronuclear dipolar couplings, which leads to pure in-phase spectra.
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Affiliation(s)
- Sylvian Cadars
- Laboratoire de Chimie (UMR 5182 CNRS/ENS Lyon), Ecole Normale Supérieure de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France
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Sein J, Giraud N, Blackledge M, Emsley L. The role of (15)N CSA and CSA/dipole cross-correlation in (15)N relaxation in solid proteins. J Magn Reson 2007; 186:26-33. [PMID: 17280844 DOI: 10.1016/j.jmr.2007.01.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2006] [Revised: 01/15/2007] [Accepted: 01/16/2007] [Indexed: 05/13/2023]
Abstract
The influence of the (15)N CSA on (15)N longitudinal relaxation is investigated for an amide group in solid proteins in powder form under MAS. This contribution is determined to be typically 20-33% of the overall longitudinal relaxation rate, at 11.74 and 16.45 T, respectively. The improved treatment is used to analyze the internal dynamics in the protein Crh, in the frame of a motional model of diffusion in a cone, using the explicit average sum approach. Significant variations with respect to the determined dynamics parameters are observed when properly accounting for the contribution of (15)N CSA fluctuations. In general, the fit of experimental data including CSA led to the determination of diffusion times (tau(w)) which are longer than when considering only an (15)N-(1)H dipolar relaxation mechanism. CSA-Dipole cross-correlation is shown to play little or no role in protonated solids, in direct contrast to the liquid state case.
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Affiliation(s)
- Julien Sein
- Laboratoire de Chimie (UMR 5182 CNRS/ENS Lyon), Ecole Normale Supérieure de Lyon, 69364 Lyon, France
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Ribaldi F, Jovicich J, Ferrari C, Bosch B, Bartrés-Faz D, Müller BW, Wiltfang J, Fiedler U, Montalti M, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Bordet R, Sein J, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Alessandrini F, Beltramello A, Bargallo N, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinides M, Drevelegas A, Rossini P, Marra C, Schonknecht P, Hensch T, Hoffmann KT, Kuijer J, Visser PJ, Barkhof F, Frisoni GB, Marizzoni M. IC‐P‐126: VOLUMETRIC ACCURACY OF A FULLY AUTOMATIC TOOL FOR WHITE MATTER HYPERINTENSITIES (WMHS) SEGMENTATION. Alzheimers Dement 2006. [DOI: 10.1016/j.jalz.2018.06.2192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Federica Ribaldi
- University of BresciaBresciaItaly
- Istituto di Ricovero e Cura a Carattere ScientificoCentro San Giovanni di Dio FatebenefratelliBresciaItaly
| | | | - Clarissa Ferrari
- Istituto di Ricovero e Cura a Carattere ScientificoCentro San Giovanni di Dio FatebenefratelliBresciaItaly
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital ClínicInstitut d'Investigacions Biomediques August Pi i SunyerBarcelonaSpain
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical PsychobiologyUniversitat de Barcelona, August Pi i Sunyer Biomedical Research InstituteBarcelonaSpain
| | | | - Jens Wiltfang
- Department of Psychiatry and PsychotherapyUniversity Medical CenterGoettingenGermany
| | - Ute Fiedler
- Institutes and Clinics of the University Duisburg-EssenEssenGermany
| | - Martina Montalti
- Istituto di Ricovero e Cura a Carattere ScientificoCentro San Giovanni di Dio FatebenefratelliBresciaItaly
| | - Luca Roccatagliata
- Department of NeuroscienceOphthalmology and Genetics University of GenoaGenoaItaly
| | - Agnese Picco
- Neurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico, Azienda Ospedaliera Universitaria, San MartinoUniversity of GenoaGenoaItaly
| | | | - Olivier Blin
- Aix-Marseille University-Centre National de la Recherche ScientifiqueMarseilleFrance
| | | | - Renaud Lopes
- INSERM, Neuroradiology DepartmentUniversity HospitalLilleFrance
| | - Régis Bordet
- Service de Pharmacologie-Hôpital Huriez- Centre Hospitalier Régional UniversitaireLilleFrance
| | - Julien Sein
- Centre de Résonance Magnétique Biologique et Médicale‐Centre d'Exploration Métabolique par Résonance MagnétiqueAix Marseille UniversityMarseilleFrance
| | - Jean-Philippe Ranjeva
- Centre Investigation Clinique ‐ Unité de Pharmacologie Clinique et d'Évaluations Thérapeutiques, Centre Hospitalier Universitaire, La Timone, Assistance Publique ‐ Hopitaux de MarseilleCentre National de la Recherche Scientifique ‐Universite de la MediterraneeMarseilleFrance
| | - Mira Didic
- Service de Neurologie et NeuropsychologieMarseilleFrance
| | | | - Pierre Payoux
- INSERM, Imagerie Cérébrale et Handicaps NeurologiquesToulouseFrance
| | | | | | - Núria Bargallo
- Imaging Diagnostic Center Radiology DepartmentHospital Clínic i Provincial de BarcelonaBarcelonaSpain
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical SciencesUniversity G. d'AnnunzioChietiItaly
| | | | - Marco Aiello
- Istituto di Ricovero e Cura a Carattere Scientifico, SDN Istituto di Ricerca Diagnostica e Nucleare SpANaplesItaly
| | - Carlo Cavaliere
- Istituto di Ricovero e Cura a Carattere Scientifico, SDN Istituto di Ricerca Diagnostica e Nucleare SpANaplesItaly
| | - Andrea Soricelli
- IR SDN per la Ricerca e l'Alta Formazione in Diagnostica NucleareNaplesItaly
| | | | | | - Piero Floridi
- Perugia General HospitalNeuroradiology UnitPerugiaItaly
| | - Magda Tsolaki
- First Department of NeurologyAHEPA University Hospital, MakedoniaThessalonikiGreece
| | | | | | - Paolo Rossini
- Department of Gerontology, Neurosciences and OrthopedicsCatholic UniversityRomeItaly
| | | | - Peter Schonknecht
- LIFE, Leipzig Research Center for Civilization DiseasesLeipzigGermany
| | | | | | - Joost Kuijer
- VU University Medical CenterAmsterdamNetherlands
| | - Pieter Jelle Visser
- Alzheimer Center and Department of Neurology, Amsterdam NeuroscienceVU University Medical CenterAmsterdamNetherlands
| | - Frederik Barkhof
- Institutes of Neurology and Healthcare EngineeringUniversity CollegeLondonUnited Kingdom
| | - Giovanni B. Frisoni
- Istituto di Ricovero e Cura a Carattere ScientificoCentro San Giovanni di Dio FatebenefratelliBresciaItaly
- Memory Clinic and Laboratory of Neuroimaging of AgingGenevaSwitzerland
| | - Moira Marizzoni
- Istituto di Ricovero e Cura a Carattere ScientificoCentro San Giovanni di Dio FatebenefratelliBresciaItaly
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Verra N, Jansen R, Groenewegen G, Mallo H, Kersten MJ, Bex A, Vyth-Dreese FA, Sein J, van de Kasteele W, Nooijen WJ, de Waal M, Horenblas S, de Gast GC. Immunotherapy with concurrent subcutaneous GM-CSF, low-dose IL-2 and IFN-alpha in patients with progressive metastatic renal cell carcinoma. Br J Cancer 2003; 88:1346-51. [PMID: 12778059 PMCID: PMC2741048 DOI: 10.1038/sj.bjc.6600915] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The purpose of the study was to determine toxicity, efficacy and immunologic effects of concurrent subcutaneous injections of low-dose interleukin-2 (LD-IL-2), granulocyte-monocyte colony-stimulating factor (GM-CSF) and interferon-alpha 2b (IFNalpha) in progressive metastatic renal cell carcinoma. In a multicentre phase II study, 59 evaluable patients received two to six cycles of subcutaneous IL-2 (4 mIU m(-2)), GM-CSF (2.5 microg kg(-1)) and IFNalpha (5 mIU flat(-1)) for 12 days per 3 weeks with evaluation after every two cycles. Cycles were repeated in responding or stable patients. Data were analysed after a median of 30 months follow-up (range 16-48 months). In 42 patients, the immunologic response was studied and related to response and survival. The main toxicity were flu-like symptoms, malaise and transient liver enzyme elevations, necessitating IL-2 reduction to 2 mIU m(-2) in 29 patients, which should be considered the maximal tolerable dose. The response was 24% (eight out of 34, three complete response (CR), five partial response (PR)) in patients with metachronic metastases and 12% (three out of 25, 2CR, 1PR) in patients with synchronic metastases. Overall response was 19% (11 out of 59). Median survival was 9.5 months. All tested patients showed expansion and/or activation of lymphocytes, T cells and subsets, NK cells, eosinophils and monocytes. Pretreatment HLA-DR levels on monocytes and number of CD4(+)HLA-DR(+) cells correlated with response. Pretreatment number of CD4(+)HLA-DR(+) cells and postimmunotherapy levels of lymphocytes, CD3(+), CD4(+) and CD8(+) T cells, but not of NK or B cells, correlated with prolonged survival. Immunotherapy with concurrent subcutaneous GM-CSF, LD-IL-2 and IFNalpha has limited toxicity, can be given as outpatient treatment and can induce durable CR. Response and survival with this form of immunotherapy seem to be more dependent on expansion/activation of T cells than of NK cells.
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Affiliation(s)
- N Verra
- Division of Immunology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - R Jansen
- Departments of Medical Oncology of University Hospitals Maastricht and Utrecht, The Netherlands
| | - G Groenewegen
- Departments of Medical Oncology of University Hospitals Maastricht and Utrecht, The Netherlands
| | - H Mallo
- Division of Medical Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - M J Kersten
- Division of Medical Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - A Bex
- Division of Urology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - F A Vyth-Dreese
- Division of Immunology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - J Sein
- Division of Clinical Chemistry and Biostatistics, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - W van de Kasteele
- Departments of Medical Oncology of University Hospitals Maastricht and Utrecht, The Netherlands
| | - W J Nooijen
- Division of Clinical Chemistry and Biostatistics, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - M de Waal
- Division of Clinical Chemistry and Biostatistics, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - S Horenblas
- Division of Urology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - G C de Gast
- Division of Immunology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Division of Medical Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Division of Medical Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands. E-mail:
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de Gast GC, Batchelor D, Kersten MJ, Vyth-Dreese FA, Sein J, van de Kasteele WF, Nooijen WJ, Nieweg OE, de Waal MA, Boogerd W. Temozolomide followed by combined immunotherapy with GM-CSF, low-dose IL2 and IFN alpha in patients with metastatic melanoma. Br J Cancer 2003; 88:175-80. [PMID: 12610499 PMCID: PMC2377058 DOI: 10.1038/sj.bjc.6600717] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
The purpose of this study is to determine the toxicity and efficacy of temozolomide (TMZ) p.o. followed by subcutaneous (s.c.) low-dose interleukin-2 (IL2), granulocyte-monocyte colony stimulating factor (GM-CSF) and interferon-alpha 2b (IFN alpha) in patients with metastatic melanoma. A total of 74 evaluable patients received, in four separate cohorts, escalating doses of TMZ (150-250 mg m(-2)) for 5 days followed by s.c. IL2 (4 MIU m(-2)), GM-CSF (2.5 microg kg(-1)) and IFN alpha (5 MIU flat) for 12 days. A second identical treatment was scheduled on day 22 and cycles were repeated in stable or responding patients following evaluation. Data were analysed after a median follow-up of 20 months (12-30 months). The overall objective response rate was 31% (23 out of 74; confidence limits 20.8-42.9%) with 5% CR. Responses occurred in all disease sites including the central nervous system (CNS). Of the 36 patients with responding or stable disease, none developed CNS metastasis as the first or concurrent site of progressive disease. Median survival was 252 days (8.3 months), 1 year survival 41%. Thrombocytopenia was the primary toxicity of TMZ and was dose- and patient-dependent. Lymphocytopenia (grade 3-4 CTC) occurred in 48.5% (34 out of 70) fully monitored patients following TMZ and was present after immunotherapy in two patients. The main toxicity of combined immunotherapy was the flu-like syndrome (grade 3) and transient liver function disturbances (grade 2 in 20, grade 3 in 15 patients). TMZ p.o. followed by s.c. combined immunotherapy demonstrates efficacy in patients with stage IV melanoma and is associated with toxicity that is manageable on an outpatient basis.
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Affiliation(s)
- G C de Gast
- Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
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de Gast GC, Vyth-Dreese FA, Nooijen W, van den Bogaard CJC, Sein J, Holtkamp MMJ, Linthorst GAM, Baars JW, Schornagel JH, Rodenhuis S. Reinfusion of autologous lymphocytes with granulocyte-macrophage colony-stimulating factor induces rapid recovery of CD4+ and CD8+ T cells after high-dose chemotherapy for metastatic breast cancer. J Clin Oncol 2002; 20:58-64. [PMID: 11773154 DOI: 10.1200/jco.2002.20.1.58] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [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: 11/20/2022] Open
Abstract
PURPOSE Repeated high-dose chemotherapy (HDCT) followed by peripheral-blood progenitor cell (PBPC) transplantation can induce a complete remission in patients with metastatic breast cancer sensitive to standard chemotherapy (CT), but the majority of patients relapse within 1 to 2 years. The immune system is seriously compromised after HDCT, which precludes the development of effective immunotherapy. We investigated whether autologous lymphocytes, reinfused after HDCT, could induce a rapid recovery of T cells. PATIENTS AND METHODS Three patients were monitored for immune recovery without reinfusion of lymphocytes. In the next 11 patients, stem cells were harvested after CT + granulocyte colony-stimulating factor (G-CSF) and lymphocytes were harvested after CT + granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin-2. These patients received stem cells and G-CSF after the first HDCT; stem cells, G-CSF, and lymphocytes after the second; and stem cells, GM-CSF, and lymphocytes after the third HDCT. RESULTS Patients not receiving lymphocyte reinfusion had a very slow recovery of lymphocytes. In particular, CD4 counts remained low (< 200/microL for 9 months). Lymphocyte reinfusion had a significant effect on the recovery of lymphocytes, T cells, and CD8+ T cells (normalized on day 25). Recovery of CD4+ T cells was significantly accelerated by lymphocyte reinfusion and GM-CSF, leading to counts of 500/microL at 25 days. CONCLUSION Lymphocyte reinfusion with G-CSF had a significant effect on the recovery of CD8+ T cells, whereas rapid recovery of CD4+ T cells required lymphocyte reinfusion and GM-CSF, which possibly acts as a survival factor through activation of antigen presenting cells. Whether the rapid recovery of CD4+ and CD8+ T cells prevents or delays relapse of the disease should be further investigated.
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Affiliation(s)
- G C de Gast
- Department of Medical Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands.
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de Gast GC, Klümpen HJ, Vyth-Dreese FA, Kersten MJ, Verra NC, Sein J, Batchelor D, Nooijen WJ, Schornagel JH. Phase I trial of combined immunotherapy with subcutaneous granulocyte macrophage colony-stimulating factor, low-dose interleukin 2, and interferon alpha in progressive metastatic melanoma and renal cell carcinoma. Clin Cancer Res 2000; 6:1267-72. [PMID: 10778950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
The purpose of our study was to determine the maximally tolerated dose (MTD) and DLT of combined administration of granulocyte macrophage colony-stimulating factor (GM-CSF), low-dose interleukin 2 (IL-2) and IFN-alpha in patients with progressive metastatic melanoma or renal cell carcinoma (RCC). In addition, the activation and expansion of effector cells were measured. Cohorts of three patients were treated with increasing doses of IL-2 (1, 4, and 8 MIU/m2) and GM-CSF (2.5 and 5 microg/kg) with a constant dose of IFNalpha (5 million units) s.c. for 12 days every 3 weeks. An additional six patients were treated at the MTD. Immune activation was monitored during the first cycle. Response was evaluated after two cycles. The MTD was found to be 2.5 microg/kg GM-CSF, 4 MIU/m2 IL-2, and 5 mega units of IFNalpha. DLT was grade 4 fever, chills with hypotension, grade 3 fatigue/malaise, and fluid retention. Dose reduction of IL-2 to 2 MIU/m2 was necessary in three of nine patients who initially received the MTD. Treatment was initiated in the hospital but could be continued at home after 3-4 days. Significant increases in lymphocytes, (activated) T cells (CD4+ and CD8+), NK cells, monocyte DR expression, neutrophils, and eosinophils were found. CD8+ T-cell activation (sCD8) and NK cell expansion was mainly present in patients receiving 2 or 4 MIU/m2 IL-2. Of eight patients with progressive metastatic RCC after nephrectomy, three achieved a complete remission, and 1 of 7 patients with metastatic melanoma achieved a partial remission. In our study, the MTD of combined immunotherapy with GM-CSF, IL-2, and IFNalpha was established; DLT was: (a) grade 4 fever with hypotension needing i.v. fluid support; and (b) grade 3 fluid retention and/or fatigue/malaise. The scheme resulted in considerable expansion and/or activation of various effector cells. The complete responses in RCC patients are promising but need to be confirmed in Phase II studies.
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Affiliation(s)
- G C de Gast
- Division of Medical Oncology, Antoni van Leeuwenhoek Hospital/Netherlands Cancer Institute, Amsterdam.
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Kalergis AM, López CB, Becker MI, Díaz MI, Sein J, Garbarino JA, De Ioannes AE. Modulation of fatty acid oxidation alters contact hypersensitivity to urushiols: role of aliphatic chain beta-oxidation in processing and activation of urushiols. J Invest Dermatol 1997; 108:57-61. [PMID: 8980288 DOI: 10.1111/1523-1747.ep12285632] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.8] [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: 02/03/2023]
Abstract
Lithraea caustica, or litre, a tree of the Anacardiaceae family that is endemic to the central region of Chile, induces a severe contact dermatitis in susceptible human beings. The allergen was previously isolated and characterized as a 3-(pentadecyl-10-enyl) catechol, a molecule belonging to the urushiol group of allergens isolated from poison ivy and poison oak plants. Because urushiols are pro-electrophilic haptens, it is believed that the reactive species are generated intracellularly by skin keratinocytes and Langerhans cells. The active species are presumed to modify self proteins which, after proteolytic processing, would generate immunogenic peptides carrying the hapten. The presence of a 15-carbon-length hydrophobic chain should impair antigen presentation of self-modified peptides by class I MHC molecules, either by steric hindrance or by limiting their sorting to the ER lumen. We have proposed that the shortening of the aliphatic chain by beta-oxidation within peroxisomes and/or mitochondria should be a requirement for the antigen presentation process. To test this hypothesis we investigated the effect of drugs that modify the fatty acid metabolism on urushiol-induced contact dermatitis in mice. Clofibrate, a peroxisomal proliferator in mice, increased the immune response to the urushiols from litre by 50%. Conversely, tetradecyl glycidic acid, an inhibitor of the uptake of fatty acids by mitochondria, decreased the hypersensitivity to the hapten. An increase in the level in glutathione by treatment of the animals with 2-oxotiazolidin-4-carboxilic acid lowered the response. Those findings strongly support a role for the fatty acid oxidative metabolism in the processing and activation of urushiols in vivo.
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Affiliation(s)
- A M Kalergis
- Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago
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