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Levitis E, Liu S, Whitman ET, Warling A, Torres E, Clasen LS, Lalonde FM, Sarlls J, Alexander DC, Raznahan A. The Variegation of Human Brain Vulnerability to Rare Genetic Disorders and Convergence With Behaviorally Defined Disorders. Biol Psychiatry 2024; 95:136-146. [PMID: 37480975 PMCID: PMC10799187 DOI: 10.1016/j.biopsych.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/16/2023] [Accepted: 07/10/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Diverse gene dosage disorders (GDDs) increase risk for psychiatric impairment, but characterization of GDD effects on the human brain has so far been piecemeal, with few simultaneous analyses of multiple brain features across different GDDs. METHODS Here, through multimodal neuroimaging of 3 aneuploidy syndromes (XXY [total n = 191, 92 control participants], XYY [total n = 81, 47 control participants], and trisomy 21 [total n = 69, 41 control participants]), we systematically mapped the effects of supernumerary X, Y, and chromosome 21 dosage across a breadth of 15 different macrostructural, microstructural, and functional imaging-derived phenotypes (IDPs). RESULTS The results revealed considerable diversity in cortical changes across GDDs and IDPs. This variegation of IDP change underlines the limitations of studying GDD effects unimodally. Integration across all IDP change maps revealed highly distinct architectures of cortical change in each GDD along with partial coalescence onto a common spatial axis of cortical vulnerability that is evident in all 3 GDDs. This common axis shows strong alignment with shared cortical changes in behaviorally defined psychiatric disorders and is enriched for specific molecular and cellular signatures. CONCLUSIONS Use of multimodal neuroimaging data in 3 aneuploidies indicates that different GDDs impose unique fingerprints of change in the human brain that differ widely depending on the imaging modality that is being considered. Embedded in this variegation is a spatial axis of shared multimodal change that aligns with shared brain changes across psychiatric disorders and therefore represents a major high-priority target for future translational research in neuroscience.
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Affiliation(s)
- Elizabeth Levitis
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland; Center for Medical Image Computing, Department of Computer Science, UCL, London, UK.
| | - Siyuan Liu
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland
| | - Ethan T Whitman
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland
| | - Allysa Warling
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland
| | - Erin Torres
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland
| | - Liv S Clasen
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland
| | - François M Lalonde
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland
| | - Joelle Sarlls
- National Institutes of Health MRI Research Facility, National Institute of Mental Health, Bethesda, Maryland
| | - Daniel C Alexander
- Center for Medical Image Computing, Department of Computer Science, UCL, London, UK
| | - Armin Raznahan
- Section on Developmental Neurogenomics, National Institute of Mental Health, Bethesda, Maryland.
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Fraize J, Leprince Y, Elmaleh-Bergès M, Kerdreux E, Delorme R, Hertz-Pannier L, Lefèvre J, Germanaud D. Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders. Front Neurosci 2023; 17:1289013. [PMID: 38027471 PMCID: PMC10657855 DOI: 10.3389/fnins.2023.1289013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Fetal alcohol spectrum disorders (FASD) range from fetal alcohol syndrome (FAS) to non-syndromic forms (NS-FASD). The neuroanatomical consequences of prenatal alcohol exposure are mainly the reduction in brain size, but also focal abnormalities such as those of the corpus callosum (CC). We previously showed a narrowing of the CC for brain size, using manual measurement and its usefulness to improve diagnostic certainty. Our aim was to automate these measurements of the CC and identify more recurrent abnormalities in FAS subjects, independently of brain size reduction. Methods We developed a fast, automated, and normalization-free method based on spectral analysis to generate thicknesses of the CC continuously and at singular points (genu, body, isthmus, and splenium), and its length (LCC). We applied it on midsagittal section of the CC extracted from T1-anatomical brain MRI of 89 subjects with FASD (52 FAS, 37 NS-FASD) and 126 with typically development (6-20 y-o). After adjusting for batch effect, we compared the mean profiles and thicknesses of the singular points across the 3 groups. For each parameter, we established variations with age (growth charts) and brain size in the control group (scaling charts), then identified participants with abnormal measurements (<10th percentile). Results We confirmed the slimming of the posterior half of the CC in both FASD groups, and of the genu section in the FAS group, compared to the control group. We found a significant group effect for the LCC, genu, median body, isthmus, and splenium thicknesses (p < 0.05). We described a body hump whose morphology did not differ between groups. According to the growth charts, there was an excess of FASD subjects with abnormal LCC and isthmus, and of FAS subjects with abnormal genu and splenium. According to the scaling charts, this excess remained only for LCC, isthmus and splenium, undersized for brain size. Conclusion We characterized size-independent anomalies of the posterior part of the CC in FASD, with an automated method, confirming and extending our previous study. Our new tool brings the use of a neuroanatomical criterion including CC damage closer to clinical practice. Our results suggest that an FAS signature identified in NS-FASD, could improve diagnosis specificity.
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Affiliation(s)
- Justine Fraize
- UNIACT, NeuroSpin, Frederic Joliot Institute, Centre d’études de Saclay, CEA Paris-Saclay, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Inserm, Université Paris Cité, Paris, France
| | - Yann Leprince
- UNIACT, NeuroSpin, Frederic Joliot Institute, Centre d’études de Saclay, CEA Paris-Saclay, Gif-sur-Yvette, France
| | - Monique Elmaleh-Bergès
- Department of Pediatric Radiologic, Robert-Debré Hospital, AP-HP, Centre of Excellence InovAND, Paris, France
| | - Eliot Kerdreux
- UNIACT, NeuroSpin, Frederic Joliot Institute, Centre d’études de Saclay, CEA Paris-Saclay, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Inserm, Université Paris Cité, Paris, France
| | - Richard Delorme
- Department of Child and Adolescent Psychiatry, Robert-Debré Hospital, AP-HP, Centre of Excellence InovAND, Paris, France
| | - Lucie Hertz-Pannier
- UNIACT, NeuroSpin, Frederic Joliot Institute, Centre d’études de Saclay, CEA Paris-Saclay, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Inserm, Université Paris Cité, Paris, France
| | - Julien Lefèvre
- Institut de Neurosciences de La Timone, CNRS, Aix-Marseille Université, Marseille, France
| | - David Germanaud
- UNIACT, NeuroSpin, Frederic Joliot Institute, Centre d’études de Saclay, CEA Paris-Saclay, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Inserm, Université Paris Cité, Paris, France
- Department of Genetics, Robert-Debré Hospital, AP-HP, Centre de Référence Déficiences Intellectuelles de Causes Rares, Centre of Excellence InovAND, Paris, France
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Figley CR, Figley TD, Wong K, Uddin MN, Dalvit Carvalho da Silva R, Kornelsen J. Periventricular and juxtacortical characterization of UManitoba-JHU functionally defined human white matter atlas networks. Front Hum Neurosci 2023; 17:1196624. [PMID: 37484918 PMCID: PMC10357038 DOI: 10.3389/fnhum.2023.1196624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/22/2023] [Indexed: 07/25/2023] Open
Abstract
Background The open-access UManitoba-JHU functionally defined human white matter (WM) atlas contains specific WM pathways and general WM regions underlying 12 functional brain networks in ICBM152 template space. However, it is not known whether any of these WM networks are disproportionately co-localized with periventricular and/or juxtacortical WM (PVWM and JCWM), which could potentially impact their ability to infer network-specific effects in future studies-particularly in patient populations expected to have disproportionate PVWM and/or JCWM damage. Methods The current study therefore identified intersecting regions of PVWM and JCWM (defined as WM within 5 mm of the ventricular and cortical boundaries) and: (1) the ICBM152 global WM mask, and (2) all 12 UManitoba-JHU WM networks. Dice Similarity Coefficient (DSC), Jaccard Similarity Coefficient (JSC), and proportion of volume (POV) values between PVWM (and JCWM) and each functionally defined WM network were then compared to corresponding values between PVWM (and JCWM) and global WM. Results Between the 12 WM networks and PVWM, 8 had lower DSC, JSC, and POV; 1 had lower DSC and JSC, but higher POV; and 3 had higher DSC, JSC, and POV compared to global WM. For JCWM, all 12 WM networks had lower DSC, JSC, and POV compared to global WM. Conclusion The majority of UManitoba-JHU functionally defined WM networks exhibited lower than average spatial similarity with PVWM, and all exhibited lower than average spatial similarity with JCWM. This suggests that they can be used to explore network-specific WM changes, even in patient populations with known predispositions toward PVWM and/or JCWM damage.
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Affiliation(s)
- Chase R. Figley
- Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada
- Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, MB, Canada
| | - Teresa D. Figley
- Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada
| | - Kaihim Wong
- Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada
| | - Md Nasir Uddin
- Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
- Department of Neurology, University of Rochester, Rochester, NY, United States
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
| | - Rodrigo Dalvit Carvalho da Silva
- Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada
| | - Jennifer Kornelsen
- Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
- Division of Diagnostic Imaging, Health Sciences Centre, Winnipeg, MB, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada
- Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, MB, Canada
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Fraize J, Fischer C, Elmaleh-Bergès M, Kerdreux E, Beggiato A, Ntorkou A, Duchesnay E, Bekha D, Boespflug-Tanguy O, Delorme R, Hertz-Pannier L, Germanaud D. Enhancing fetal alcohol spectrum disorders diagnosis with a classifier based on the intracerebellar gradient of volumetric undersizing. Hum Brain Mapp 2023. [PMID: 37209313 DOI: 10.1002/hbm.26348] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 05/22/2023] Open
Abstract
In fetal alcohol spectrum disorders (FASD), brain growth deficiency is a hallmark of subjects both with fetal alcohol syndrome (FAS) and with non-syndromic FASD (NS-FASD, i.e., those without specific diagnostic features). However, although the cerebellum was suggested to be more severely undersized than the rest of the brain, it has not yet been given a specific place in the FASD diagnostic criteria where neuroanatomical features still count for little if anything in diagnostic specificity. We applied a combination of cerebellar segmentation tools on a 1.5 T 3DT1 brain MRI dataset from a monocentric population of 89 FASD (52 FAS, 37 NS-FASD) and 126 typically developing controls (6-20 years old), providing 8 volumes: cerebellum, vermis and 3 lobes (anterior, posterior, inferior), plus total brain volume. After adjustment of confounders, the allometric scaling relationship between these cerebellar volumes (Vi ) and the total brain or cerebellum volume (Vt ) was fitted (Vi = bVt a ), and the effect of group (FAS, control) on allometric scaling was evaluated. We then estimated for each cerebellar volume in the FAS population the deviation from the typical scaling (v DTS) learned in the controls. Lastly, we trained and tested two classifiers to discriminate FAS from controls, one based on the total cerebellum v DTS only, the other based on all the cerebellar v DTS, comparing their performance both in the FAS and the NS-FASD group. Allometric scaling was significantly different between FAS and control group for all the cerebellar volumes (p < .001). We confirmed the excess of total cerebellum volume deficit (v DTS = -10.6%) and revealed an antero-inferior-posterior gradient of volumetric undersizing in the hemispheres (-12.4%, 1.1%, 2.0%, repectively) and the vermis (-16.7%, -9.2%, -8.6%, repectively). The classifier based on the intracerebellar gradient of v DTS performed more efficiently than the one based on total cerebellum v DTS only (AUC = 92% vs. 82%, p = .001). Setting a high probability threshold for >95% specificity of the classifiers, the gradient-based classifier identified 35% of the NS-FASD to have a FAS cerebellar phenotype, compared to 11% with the cerebellum-only classifier (pFISHER = 0.027). In a large series of FASD, this study details the volumetric undersizing within the cerebellum at the lobar and vermian level using allometric scaling, revealing an anterior-inferior-posterior gradient of vulnerability to prenatal alcohol exposure. It also strongly suggests that this intracerebellar gradient of volumetric undersizing may be a reliable neuroanatomical signature of FAS that could be used to improve the specificity of the diagnosis of NS-FASD.
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Affiliation(s)
- Justine Fraize
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | - Clara Fischer
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, BAOBAB, Centre d'études de Saclay, Gif-sur-Yvette, France
| | - Monique Elmaleh-Bergès
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
- Department of Pediatric Radiology, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Eliot Kerdreux
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | - Anita Beggiato
- Department of Child and Adolescent Psychiatry, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Alexandra Ntorkou
- Department of Pediatric Radiology, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Edouard Duchesnay
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, BAOBAB, Centre d'études de Saclay, Gif-sur-Yvette, France
| | - Dhaif Bekha
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | | | - Richard Delorme
- Department of Child and Adolescent Psychiatry, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Lucie Hertz-Pannier
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | - David Germanaud
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
- Department of Genetics, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
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Eikenes L, Visser E, Vangberg T, Håberg AK. Both brain size and biological sex contribute to variation in white matter microstructure in middle-aged healthy adults. Hum Brain Mapp 2022; 44:691-709. [PMID: 36189786 PMCID: PMC9842919 DOI: 10.1002/hbm.26093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/04/2022] [Accepted: 07/07/2022] [Indexed: 01/25/2023] Open
Abstract
Whether head size and/or biological sex influence proxies of white matter (WM) microstructure such as fractional anisotropy (FA) and mean diffusivity (MD) remains controversial. Diffusion tensor imaging (DTI) indices are also associated with age, but there are large discrepancies in the spatial distribution and timeline of age-related differences reported. The aim of this study was to evaluate the associations between intracranial volume (ICV), sex, and age and DTI indices from WM in a population-based study of healthy individuals (n = 812) aged 50-66 in the Nord-Trøndelag health survey. Semiautomated tractography and tract-based spatial statistics (TBSS) analyses were performed on the entire sample and in an ICV-matched sample of men and women. The tractography results showed a similar positive association between ICV and FA in all major WM tracts in men and women. Associations between ICV and MD, radial diffusivity and axial diffusivity were also found, but to a lesser extent than FA. The TBSS results showed that both men and women had areas of higher and lower FA when controlling for age, but after controlling for age and ICV only women had areas with higher FA. The ICV matched analysis also demonstrated that only women had areas of higher FA. Age was negatively associated with FA across the entire WM skeleton in the TBSS analysis, independent of both sex and ICV. Combined, these findings demonstrated that both ICV and sex contributed to variation in DTI indices and emphasized the importance of considering ICV as a covariate in DTI analysis.
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Affiliation(s)
- Live Eikenes
- Department of Circulation and Medical ImagingNorwegian University of Science and TechnologyTrondheimNorway
| | - Eelke Visser
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK,Donders InstituteRadboud University Nijmegen Medical CentreNijmegenThe Netherlands
| | - Torgil Vangberg
- Department of Clinical MedicineUiT The Arctic University of NorwayTromsøNorway,PET CenterUniversity Hospital North NorwayTromsøNorway
| | - Asta K. Håberg
- Department of NeuroscienceNorwegian University of Science and TechnologyTrondheimNorway,Department of Diagnostic Imaging, MR‐CenterSt. Olav's University HospitalTrondheimNorway
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