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Décarie-Labbé L, Dialahy IZ, Corriveau-Lecavalier N, Mellah S, Belleville S. Examining the relationship between brain activation and proxies of disease severity using quantile regression in individuals at risk of Alzheimer's disease. Cortex 2024; 173:234-247. [PMID: 38432175 DOI: 10.1016/j.cortex.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 10/27/2023] [Accepted: 01/25/2024] [Indexed: 03/05/2024]
Abstract
Previous studies have reported a pattern of hyperactivation in the pre-dementia phase of Alzheimer's disease (AD), followed by hypoactivation in later stages of the disease. This pattern was modeled as an inverse U-shape function between activation and markers of disease severity. In this study, we used quantile regression to model the association between task-related brain activation in AD signature regions and three markers of disease severity (hippocampal volume, cortical thickness, and associative memory). This approach offers distinct advantages over standard regression models as it analyzes the relationship between brain activation and disease severity across various levels of brain activation. Participants were 54 older adults with subjective cognitive decline+ (SCD+) or mild cognitive impairment (MCI) from the CIMA-Q cohort. The analysis revealed an inverse U-shape quadratic function depicting the relationship between disease severity markers and the activation of the left superior parietal region, while a linear relationship was observed for activation of the hippocampal and temporal regions. Quantile differences were observed for temporal and parietal activation, with more pronounced effects observed in the higher quantiles of activation. When comparing quantiles, we found that higher quantile of activation featured a greater number of individuals with SCD+ compared to mild cognitive impairment (MCI). Results are globally consistent with the presence of an inverse-U shape function of activation in relation to disease severity. They study also underscores the utility of employing quantile regression modeling as the modeling approach revealed the presence of non-homogeneous effects across various quantiles.
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Affiliation(s)
- Laurie Décarie-Labbé
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada; Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Isaora Zefania Dialahy
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
| | | | - Samira Mellah
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada
| | - Sylvie Belleville
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, Quebec, Canada; Department of Psychology, Université de Montréal, Montreal, Quebec, Canada.
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Jing L, Yan T, Zhou J, Xie Y, Qiu J, Wang Y, Lu W. Elevated Intraocular Pressure Moderated Brain Morphometry in High-tension Glaucoma: a Structural MRI Study. Clin Neuroradiol 2024; 34:173-179. [PMID: 37798542 DOI: 10.1007/s00062-023-01351-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 09/19/2023] [Indexed: 10/07/2023]
Abstract
High-tension glaucoma (HTG) is one of the most common forms of primary open angle glaucoma. The purpose of this study was to assess in HTG brain, whether the elevated intraocular pressure (IOP) had an effect on the brain morphological alterations via structural MRI. We acquired T1WI structural MRI images from 56 subjects including 36 HTG patients and 20 healthy controls. We tested whether the brain morphometry was associated with the mean IOP in HTG patients. Moreover, we conducted moderation analysis to assess the interactions between subject type (HTG - healthy controls) and IOP. In HTG group, cortical thickness was negatively correlated with the mean IOP in the left rostral middle frontal gyrus, left pars triangularis, right precentral gyrus, left postcentral gyrus, left superior temporal gyrus (p < 0.05, FDR corrected). Four of the five regions negatively correlated with mean IOP showed reduced cortical thickness in HTG group compared with healthy controls, which were the left rostral middle frontal gyrus, left pars triangularis, left postcentral gyrus and left superior temporal gyrus (p < 0.05, FDR corrected). IOP moderated the interaction between subject type and cortical thickness of the left rostral middle frontal gyrus (p = 0.0017), left pars triangularis (p = 0.0011), left postcentral gyrus (p = 0.0040) and left superior temporal gyrus (p = 0.0066). Elevated IOP may result brain morphometry alterations such as cortical thinning. The relationship between IOP and brain morphometry underlines the importance of the IOP regulation for HTG patients.
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Affiliation(s)
- Liang Jing
- Center of Radiation Therapy, Taian Tumor Hospital, Taian, China
| | - Tingqin Yan
- Department of Ophthalmology, Taian City Central Hospital, Taian, China
| | - Jian Zhou
- Department of Radiology, Taian City Central Hospital, Taian, China
| | - Yuanzhong Xie
- Department of Radiology, Taian City Central Hospital, Taian, China
| | - Jianfeng Qiu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Yi Wang
- Department of Ophthalmology, The Second Affiliated hospital of Shandong First Medical University, Taian, China.
| | - Weizhao Lu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.
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Hou J, Huibregtse ME, Alexander IL, Klemsz LM, Fu T, Rosenberg M, Fortenberry JD, Herbenick D, Kawata K. Structural brain morphology in young adult women who have been choked/strangled during sex: A whole-brain surface morphometry study. Brain Behav 2023; 13:e3160. [PMID: 37459254 PMCID: PMC10454256 DOI: 10.1002/brb3.3160] [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: 02/28/2023] [Revised: 07/01/2023] [Accepted: 07/06/2023] [Indexed: 07/22/2023] Open
Abstract
INTRODUCTION Being choked/strangled during partnered sex is an emerging sexual behavior, particularly prevalent among young adult women. Using a multiparameter morphometric imaging approach, we aimed to characterize neuroanatomical differences between young adult women (18-30 years old) who were exposed to frequent sexual choking and their choking naïve controls. METHODS This cross-sectional study consisted of two groups (choking [≥4 times in the past 30 days] vs. choking-naïve group). Participants who reported being choked four or more times during sex in the past 30 days were enrolled in the choking group, whereas those without were assigned to the choking naïve group. High-resolution anatomical magnetic resonance imaging (MRI) data were analyzed using both volumetric features (cortical thickness) and geometric features (fractal dimensionality, gyrification, sulcal depth). RESULTS Forty-one participants (choking n = 20; choking-naïve n = 21) contributed to the final analysis. The choking group showed significantly increased cortical thickness across multiple regions (e.g., fusiform, lateral occipital, lingual gyri) compared to the choking-naïve group. Widespread reductions of the gyrification were observed in the choking group as opposed to the choking-naïve group. However, there was no group difference in sulcal depth. The fractal dimensionality showed bi-directional results, where the choking group exhibited increased dimensionality in areas including the postcentral gyrus, insula, and fusiform, whereas decreased dimensionality was observed in the bilateral superior frontal gyrus and pericalcarine cortex. CONCLUSION These data in cortical morphology suggest that sexual choking events may be associated with neuroanatomical alteration. A longitudinal study with multimodal assessment is needed to better understand the temporal ordering of sexual choking and neurological outcomes.
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Affiliation(s)
- Jiancheng Hou
- Research Center for Cross‐Straits Cultural DevelopmentFujian Normal UniversityFuzhouChina
- Department of KinesiologyIndiana University School of Public Health‐BloomingtonBloomingtonIndianaUSA
| | - Megan E. Huibregtse
- Department of KinesiologyIndiana University School of Public Health‐BloomingtonBloomingtonIndianaUSA
- Department of Psychiatry and Behavioral SciencesEmory University School of MedicineAtlantaGeorgiaUSA
| | - Isabella L. Alexander
- Department of KinesiologyIndiana University School of Public Health‐BloomingtonBloomingtonIndianaUSA
| | - Lillian M. Klemsz
- Department of KinesiologyIndiana University School of Public Health‐BloomingtonBloomingtonIndianaUSA
| | - Tsung‐Chieh Fu
- Department of Applied Health Science, Indiana University School of Public HealthIndiana UniversityBloomingtonIndianaUSA
- The Center for Sexual Health Promotion, Indiana University School of Public HealthIndiana UniversityBloomingtonIndianaUSA
| | - Molly Rosenberg
- Department of Epidemiology and Biostatistics, Indiana University School of Public HealthIndiana UniversityBloomingtonIndianaUSA
| | - James Dennis Fortenberry
- Department of Pediatrics, Indiana University School of MedicineIndiana UniversityIndianapolisIndianaUSA
| | - Debby Herbenick
- Department of Applied Health Science, Indiana University School of Public HealthIndiana UniversityBloomingtonIndianaUSA
- The Center for Sexual Health Promotion, Indiana University School of Public HealthIndiana UniversityBloomingtonIndianaUSA
| | - Keisuke Kawata
- Department of KinesiologyIndiana University School of Public Health‐BloomingtonBloomingtonIndianaUSA
- Program in NeuroscienceThe College of Arts and SciencesIndiana UniversityBloomingtonIndianaUSA
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Chandler H, Wise R, Linden D, Williams J, Murphy K, Lancaster TM. Alzheimer's genetic risk effects on cerebral blood flow across the lifespan are proximal to gene expression. Neurobiol Aging 2022; 120:1-9. [PMID: 36070676 PMCID: PMC7615143 DOI: 10.1016/j.neurobiolaging.2022.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 11/15/2022]
Abstract
Cerebrovascular dysregulation such as altered cerebral blood flow (CBF) can be observed in Alzheimer's disease (AD) and may precede symptom onset. Genome wide association studies show that AD has a polygenic aetiology, providing a tool for studying AD susceptibility across the lifespan. Here, we ascertain whether the AD genetic risk effects on CBF previously observed (Chandler et al., 2019) are also present in later life. Consistent with our prior observations, AD genetic risk score (AD-GRS) was associated with reduced CBF in the ADNI sample. The regional association between AD-GRS and CBF were also spatially similar. Furthermore, CBF was related to the regional mRNA transcript expression of AD risk genes proximal to AD-GRS risk loci. These observations suggest that AD risk alleles may reduce neurovascular process such as CBF, potentially via mechanisms such as regional expression of proximal AD risk genes as an antecedent AD pathophysiology. Our observations help establish processes that underpin AD genetic risk-related reductions in CBF as a therapeutic target prior to the onset of neurodegeneration.
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Affiliation(s)
- Hannah Chandler
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Richard Wise
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK; Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, G. D'Annunzio University of Chieti-Pescara, Chieti, Italy
| | - David Linden
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Julie Williams
- UK Dementia Research Institute, School of Medicine, Cardiff University, UK
| | - Kevin Murphy
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, UK
| | - Thomas Matthew Lancaster
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK; UK Dementia Research Institute, School of Medicine, Cardiff University, UK; Department of Psychology, University of Bath, Bath, UK.
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Hansen N, Müller SJ, Khadhraoui E, Riedel CH, Langer P, Wiltfang J, Timäus CA, Bouter C, Ernst M, Lange C. Metric magnetic resonance imaging analysis reveals pronounced substantia-innominata atrophy in dementia with Lewy bodies with a psychiatric onset. Front Aging Neurosci 2022; 14:815813. [PMID: 36274999 PMCID: PMC9580213 DOI: 10.3389/fnagi.2022.815813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
Background Dementia with Lewy bodies (DLB) is a type of dementia often diagnosed in older patients. Since its initial symptoms range from delirium to psychiatric and cognitive symptoms, the diagnosis is often delayed. Objectives In our study, we evaluated the magnetic resonance imaging (MRI) of patients suffering from DLB in correlation with their initial symptoms taking a new pragmatic approach entailing manual measurements in addition to an automated volumetric analysis of MRI. Methods A total of 63 patients with diagnosed DLB and valid 3D data sets were retrospectively and blinded evaluated. We assessed atrophy patterns (1) manually for the substantia innominata and (2) via FastSurfer for the most common supratentorial regions. Initial symptoms were categorized by (1) mild cognitive impairment (MCI), (2) psychiatric episodes, and (3) delirium. Results Manual metric MRI measurements revealed moderate, but significant substantia-innominata (SI) atrophy in patients with a psychiatric onset. FastSurfer analysis revealed no regional volumetric differences between groups. Conclusion The SI in patients with DLB and a psychiatric-onset is more atrophied than that in patients with initial MCI. Our results suggest potential differences in SI between DLB subtypes at the prodromal stage, which are useful when taking a differential-diagnostic approach. This finding should be confirmed in larger patient cohorts.
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Affiliation(s)
- Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- *Correspondence: Niels Hansen,
| | - Sebastian Johannes Müller
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
- Sebastian Johannes Müller,
| | - Eya Khadhraoui
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Christian Heiner Riedel
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Philip Langer
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Neurosciences and Signaling Group, Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Charles-Arnold Timäus
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen (UMG), Georg August University, Göttingen, Germany
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Claudia Lange
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
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Manual and automated analysis of atrophy patterns in dementia with Lewy bodies on MRI. BMC Neurol 2022; 22:114. [PMID: 35331168 PMCID: PMC8943955 DOI: 10.1186/s12883-022-02642-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 03/14/2022] [Indexed: 11/10/2022] Open
Abstract
Background Dementia with Lewy bodies (DLB) is the second most common dementia type in patients older than 65 years. Its atrophy patterns remain unknown. Its similarities to Parkinson's disease and differences from Alzheimer's disease are subjects of current research. Methods The aim of our study was (i) to form a group of patients with DLB (and a control group) and create a 3D MRI data set (ii) to volumetrically analyze the entire brain in these groups, (iii) to evaluate visual and manual metric measurements of the innominate substance for real-time diagnosis, and (iv) to compare our groups and results with the latest literature. We identified 102 patients with diagnosed DLB in our psychiatric and neurophysiological archives. After exclusion, 63 patients with valid 3D data sets remained. We compared them with a control group of 25 patients of equal age and sex distribution. We evaluated the atrophy patterns in both (1) manually and (2) via Fast Surfers segmentation and volumetric calculations. Subgroup analyses were done of the CSF data and quality of 3D T1 data sets. Results Concordant with the literature, we detected moderate, symmetric atrophy of the hippocampus, entorhinal cortex and amygdala, as well as asymmetric atrophy of the right parahippocampal gyrus in DLB. The caudate nucleus was unaffected in patients with DLB, while all the other measured territories were slightly too moderately atrophied. The area under the curve analysis of the left hippocampus volume ratio (< 3646mm3) revealed optimal 76% sensitivity and 100% specificity (followed by the right hippocampus and left amygdala). The substantia innominata’s visual score attained a 51% optimal sensitivity and 84% specificity, and the measured distance 51% optimal sensitivity and 68% specificity in differentiating DLB from our control group. Conclusions In contrast to other studies, we observed a caudate nucleus sparing atrophy of the whole brain in patients with DLB. As the caudate nucleus is known to be the last survivor in dopamine-uptake, this could be the result of an overstimulation or compensation mechanism deserving further investigation. Its relative hypertrophy compared to all other brain regions could enable an imaging based identification of patients with DLB via automated segmentation and combined volumetric analysis of the hippocampus and amygdala. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-022-02642-0.
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Simar C, Petit R, Bozga N, Leroy A, Cebolla AM, Petieau M, Bontempi G, Cheron G. Riemannian classification of single-trial surface EEG and sources during checkerboard and navigational images in humans. PLoS One 2022; 17:e0262417. [PMID: 35030232 PMCID: PMC8759639 DOI: 10.1371/journal.pone.0262417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 12/23/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Different visual stimuli are classically used for triggering visual evoked potentials comprising well-defined components linked to the content of the displayed image. These evoked components result from the average of ongoing EEG signals in which additive and oscillatory mechanisms contribute to the component morphology. The evoked related potentials often resulted from a mixed situation (power variation and phase-locking) making basic and clinical interpretations difficult. Besides, the grand average methodology produced artificial constructs that do not reflect individual peculiarities. This motivated new approaches based on single-trial analysis as recently used in the brain-computer interface field. APPROACH We hypothesize that EEG signals may include specific information about the visual features of the displayed image and that such distinctive traits can be identified by state-of-the-art classification algorithms based on Riemannian geometry. The same classification algorithms are also applied to the dipole sources estimated by sLORETA. MAIN RESULTS AND SIGNIFICANCE We show that our classification pipeline can effectively discriminate between the display of different visual items (Checkerboard versus 3D navigational image) in single EEG trials throughout multiple subjects. The present methodology reaches a single-trial classification accuracy of about 84% and 93% for inter-subject and intra-subject classification respectively using surface EEG. Interestingly, we note that the classification algorithms trained on sLORETA sources estimation fail to generalize among multiple subjects (63%), which may be due to either the average head model used by sLORETA or the subsequent spatial filtering failing to extract discriminative information, but reach an intra-subject classification accuracy of 82%.
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Affiliation(s)
- Cédric Simar
- Machine Learning Group, Computer Science Department, Faculty of Sciences, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Robin Petit
- Machine Learning Group, Computer Science Department, Faculty of Sciences, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Interuniversity Institute of Bioinformatics in Brussels, Université Libre de Bruxelles- Vrije Universiteit Brussel, Brussels, Belgium
| | - Nichita Bozga
- Machine Learning Group, Computer Science Department, Faculty of Sciences, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Axelle Leroy
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Ana-Maria Cebolla
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Mathieu Petieau
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Gianluca Bontempi
- Machine Learning Group, Computer Science Department, Faculty of Sciences, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Guy Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Laboratory of Electrophysiology, Université de Mons-Hainaut, Mons, Belgium
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Roy O, Levasseur-Moreau J, Renauld E, Hébert LJ, Leblond J, Bilodeau M, Fecteau S. Whole-brain morphometry in Canadian soldiers with posttraumatic stress disorder. Ann N Y Acad Sci 2021; 1509:37-49. [PMID: 34791677 DOI: 10.1111/nyas.14707] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/25/2021] [Accepted: 10/04/2021] [Indexed: 01/11/2023]
Abstract
Patients with posttraumatic stress disorder (PTSD) display several structural brain differences when compared with healthy individuals. However, findings are particularly inconsistent for soldiers with PTSD. Here, we characterized the brain morphometry of 37 soldiers from the Canadian Armed Forces with adulthood war-related PTSD using structural magnetic resonance imaging. We assessed time since trauma, as well as PTSD, depressive, and anxiety symptoms with the Modified PTSD Symptoms Scale, Beck Depression Inventory, and Beck Anxiety Inventory, respectively. Whole-brain morphometry was extracted with FreeSurfer and compared with a validated normative database of more than 2700 healthy individuals. Volume and thickness from several regions differed from the norms. Frontal regions were smaller and thinner, particularly the superior and rostral middle frontal gyri. Furthermore, smaller left rostral middle frontal gyrus, left pericalcarine cortex, and right fusiform gyrus were associated with more recent trauma. All subcortical structures were bigger, except the hippocampus. These findings suggest a particular brain morphometric signature of PTSD in soldiers. Smaller and thinner frontal and larger subcortical regions support impaired top-down and/or downregulation of emotional response in PTSD. Finally, the correlation of smaller frontal, temporal, and occipital regions with more recent trauma might inform future therapeutic approaches.
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Affiliation(s)
- Olivier Roy
- CERVO Brain Research Centre, Quebec, Canada.,Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, Canada.,Department of Psychiatry and Neurosciences, Université Laval, Quebec, Canada
| | - Jean Levasseur-Moreau
- CERVO Brain Research Centre, Quebec, Canada.,Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, Canada.,Department of Psychiatry and Neurosciences, Université Laval, Quebec, Canada
| | - Emmanuelle Renauld
- CERVO Brain Research Centre, Quebec, Canada.,Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, Canada.,Department of Psychiatry and Neurosciences, Université Laval, Quebec, Canada
| | - Luc J Hébert
- Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, Canada.,Centre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale, Quebec, Canada.,Department of Rehabilitation, Université Laval, Quebec, Canada
| | - Jean Leblond
- Centre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale, Quebec, Canada
| | - Mathieu Bilodeau
- Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, Canada.,Department of Psychiatry and Neurosciences, Université Laval, Quebec, Canada
| | - Shirley Fecteau
- CERVO Brain Research Centre, Quebec, Canada.,Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, Canada.,Department of Psychiatry and Neurosciences, Université Laval, Quebec, Canada
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Lancaster TM, Dimitriadis SI, Perry G, Zammit S, O’Donovan MC, Linden DE. Morphometric Analysis of Structural MRI Using Schizophrenia Meta-analytic Priors Distinguish Patients from Controls in Two Independent Samples and in a Sample of Individuals With High Polygenic Risk. Schizophr Bull 2021; 48:524-532. [PMID: 34662406 PMCID: PMC8886591 DOI: 10.1093/schbul/sbab125] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Schizophrenia (SCZ) is associated with structural brain changes, with considerable variation in the extent to which these cortical regions are influenced. We present a novel metric that summarises individual structural variation across the brain, while considering prior effect sizes, established via meta-analysis. We determine individual participant deviation from a within-sample-norm across structural MRI regions of interest (ROIs). For each participant, we weight the normalised deviation of each ROI by the effect size (Cohen's d) of the difference between SCZ/control for the corresponding ROI from the SCZ Enhancing Neuroimaging Genomics through Meta-Analysis working group. We generate a morphometric risk score (MRS) representing the average of these weighted deviations. We investigate if SCZ-MRS is elevated in a SCZ case/control sample (NCASE = 50; NCONTROL = 125), a replication sample (NCASE = 23; NCONTROL = 20) and a sample of asymptomatic young adults with extreme SCZ polygenic risk (NHIGH-SCZ-PRS = 95; NLOW-SCZ-PRS = 94). SCZ cases had higher SCZ-MRS than healthy controls in both samples (Study 1: β = 0.62, P < 0.001; Study 2: β = 0.81, P = 0.018). The high liability SCZ-PRS group also had a higher SCZ-MRS (Study 3: β = 0.29, P = 0.044). Furthermore, the SCZ-MRS was uniquely associated with SCZ status, but not attention-deficit hyperactivity disorder (ADHD), whereas an ADHD-MRS was linked to ADHD status, but not SCZ. This approach provides a promising solution when considering individual heterogeneity in SCZ-related brain alterations by identifying individual's patterns of structural brain-wide alterations.
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Affiliation(s)
- Thomas M Lancaster
- Department of Psychology, Bath University, Bath, UK,Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK,To whom correspondence should be addressed; Department of Psychology, Bath University, Bath, UK, tel.: +44-1225-384658, e-mail:
| | - Stavros I Dimitriadis
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK,MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - Gavin Perry
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Stan Zammit
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK,Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Michael C O’Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK,Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - David E Linden
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK,MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK,Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
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10
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Bouchard AE, Dickler M, Renauld E, Lenglos C, Ferland F, Rouillard C, Leblond J, Fecteau S. Brain morphometry in adults with gambling disorder. J Psychiatr Res 2021; 141:66-73. [PMID: 34175744 DOI: 10.1016/j.jpsychires.2021.06.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 05/20/2021] [Accepted: 06/15/2021] [Indexed: 10/21/2022]
Abstract
Little is known regarding the brain substrates of Gambling Disorder, including surface brain morphometry, and whether these are linked to the clinical profile. A better understanding of the brain substrates will likely help determine targets to treat patients. Hence, the aim of this study was two-fold, that is to examine surface-based morphometry in 17 patients with gambling disorder as compared to norms of healthy individuals (2713 and 2790 subjects for cortical and subcortical anatomical scans, respectively) and to assess the clinical relevance of morphometry in patients with Gambling Disorder. This study measured brain volume, surface and thickness in Gambling Disorder. We compared these measures to those of a normative database that controlled for factors such as age and sex. We also tested for correlations with gambling-related behaviors, such as gambling severity and duration, impulsivity, and depressive symptoms (assessed using the South Oaks Gambling Screen, years of gambling, Barratt Impulsiveness Scale, and Beck Depression Inventory, respectively). Patients displayed thinner prefrontal and parietal cortices, greater volume and thickness of the occipital and the entorhinal cortices, and greater volume of subcortical regions as compared to the norms of healthy individuals. There were positive correlations between surface area of occipital regions and depressive symptoms. This work contributes to better characterize the brain substrates of Gambling Disorder, which appear to resemble those of substance use disorders and Internet Gaming Disorder.
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Affiliation(s)
- Amy E Bouchard
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, 2325 rue de l'Université, Quebec City, Quebec, G1V 0A6, Canada; CERVO Brain Research Centre, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 2301 avenue D'Estimauville, Quebec City, Quebec, G1E 1T2, Canada.
| | - Maya Dickler
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, 2325 rue de l'Université, Quebec City, Quebec, G1V 0A6, Canada; CERVO Brain Research Centre, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 2301 avenue D'Estimauville, Quebec City, Quebec, G1E 1T2, Canada.
| | - Emmanuelle Renauld
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, 2325 rue de l'Université, Quebec City, Quebec, G1V 0A6, Canada; CERVO Brain Research Centre, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 2301 avenue D'Estimauville, Quebec City, Quebec, G1E 1T2, Canada.
| | - Christophe Lenglos
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, 2325 rue de l'Université, Quebec City, Quebec, G1V 0A6, Canada; CERVO Brain Research Centre, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 2301 avenue D'Estimauville, Quebec City, Quebec, G1E 1T2, Canada.
| | - Francine Ferland
- Centre de réadaptation en dépendance du CIUSSS de la Capitale-Nationale, 2525 chemin de la Canardière, Quebec City, Quebec, G1J 2G3, Canada.
| | - Claude Rouillard
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, 2325 rue de l'Université, Quebec City, Quebec, G1V 0A6, Canada; Axe Neurosciences, Centre de recherche du CHU de Québec, 2705 boul. Laurier, Quebec City, Quebec, G1V 4G2, Canada.
| | - Jean Leblond
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale, 525 boul. Wilfrid-Hamel, Quebec City, Quebec, G1M 2S8, Canada.
| | - Shirley Fecteau
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, 2325 rue de l'Université, Quebec City, Quebec, G1V 0A6, Canada; CERVO Brain Research Centre, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 2301 avenue D'Estimauville, Quebec City, Quebec, G1E 1T2, Canada.
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11
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Wu Z, Gao Y, Potter T, Benoit J, Shen J, Schulz PE, Zhang Y. Interactions Between Aging and Alzheimer's Disease on Structural Brain Networks. Front Aging Neurosci 2021; 13:639795. [PMID: 34177548 PMCID: PMC8222527 DOI: 10.3389/fnagi.2021.639795] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 05/11/2021] [Indexed: 11/13/2022] Open
Abstract
Normative aging and Alzheimer's disease (AD) propagation alter anatomical connections among brain parcels. However, the interaction between the trajectories of age- and AD-linked alterations in the topology of the structural brain network is not well understood. In this study, diffusion-weighted magnetic resonance imaging (MRI) datasets of 139 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were used to document their structural brain networks. The 139 participants consist of 45 normal controls (NCs), 37 with early mild cognitive impairment (EMCI), 27 with late mild cognitive impairment (LMCI), and 30 AD patients. All subjects were further divided into three subgroups based on their age (56-65, 66-75, and 71-85 years). After the structural connectivity networks were built using anatomically-constrained deterministic tractography, their global and nodal topological properties were estimated, including network efficiency, characteristic path length, transitivity, modularity coefficient, clustering coefficient, and betweenness. Statistical analyses were then performed on these metrics using linear regression, and one- and two-way ANOVA testing to examine group differences and interactions between aging and AD propagation. No significant interactions were found between aging and AD propagation in the global topological metrics (network efficiency, characteristic path length, transitivity, and modularity coefficient). However, nodal metrics (clustering coefficient and betweenness centrality) of some cortical parcels exhibited significant interactions between aging and AD propagation, with affected parcels including left superior temporal, right pars triangularis, and right precentral. The results collectively confirm the age-related deterioration of structural networks in MCI and AD patients, providing novel insight into the cross effects of aging and AD disorder on brain structural networks. Some early symptoms of AD may also be due to age-associated anatomic vulnerability interacting with early anatomic changes associated with AD.
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Affiliation(s)
- Zhanxiong Wu
- School of Electronic Information, Hangzhou Dianzi University, Hangzhou, China
| | - Yunyuan Gao
- Department of Intelligent Control and Robotics Institute, College of Automation, Hangzhou Dianzi University, Hangzhou, China
| | - Thomas Potter
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
| | - Julia Benoit
- Texas Institute for Measurement Evaluation and Statistics, Department of Basic Vision Sciences, University of Houston, Houston, TX, United States
| | - Jian Shen
- Neurosurgery Department, The First Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Paul E. Schulz
- Department of Neurology, The McGovern Medical School of UTHealth-Houston, Houston, TX, United States
| | - Yingchun Zhang
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
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12
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Corriveau‐Lecavalier N, Duchesne S, Gauthier S, Hudon C, Kergoat M, Mellah S, Belleville S. A quadratic function of activation in individuals at risk of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 12:e12139. [PMID: 33521234 PMCID: PMC7817778 DOI: 10.1002/dad2.12139] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 11/04/2020] [Accepted: 11/06/2020] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Brain activation is hypothesized to form an inverse U-shape in prodromal Alzheimer's disease (AD), with hyperactivation in the early phase, followed by hypoactivation. METHODS Using task-related functional magnetic resonance imaging (fMRI), we tested the inverse U-shape hypothesis with polynomial regressions and between-group comparisons in individuals with subjective cognitive decline plus (SCD+; smaller hippocampal volumes compared to a group of healthy controls without SCD and/or apolipoprotein E [APOE] ε4 allele) or mild cognitive impairment (MCI). RESULTS A quadratic function modeled the relationship between proxies of disease severity (neurodegeneration, memory performance) and left superior parietal activation. Linear negative functions modeled the relationship between neurodegeneration and left hippocampal/right inferior temporal activation. Group comparison indicated presence of hyperactivation in SCD+ and hypoactivation in MCI in the left superior parietal lobule, relative to healthy controls. DISCUSSION These findings support the presence of an inverse U-shape model of activation and suggest that hyperactivation might represent a biomarker of the early AD stages.
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Affiliation(s)
- Nick Corriveau‐Lecavalier
- Research CenterInstitut universitaire de gériatrie de MontréalMontrealCanada
- Department of PsychologyUniversité de MontréalMontrealCanada
| | - Simon Duchesne
- CERVO Research CenterQuebec CityCanada
- Department of RadiologyUniversité LavalQuebec CityCanada
- Institut universitaire en santé mentaleQuebec CityCanada
| | - Serge Gauthier
- Douglas Hospital Research CenterMontrealCanada
- McGill University Research Centre for Studies in AgingMontrealCanada
| | - Carol Hudon
- CERVO Research CenterQuebec CityCanada
- École de psychologieUniversité LavalQuebec CityCanada
| | | | - Samira Mellah
- Research CenterInstitut universitaire de gériatrie de MontréalMontrealCanada
| | - Sylvie Belleville
- Research CenterInstitut universitaire de gériatrie de MontréalMontrealCanada
- Department of PsychologyUniversité de MontréalMontrealCanada
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13
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Popuri K, Ma D, Wang L, Beg MF. Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases. Hum Brain Mapp 2020; 41:4127-4147. [PMID: 32614505 PMCID: PMC7469784 DOI: 10.1002/hbm.25115] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 04/15/2020] [Accepted: 06/08/2020] [Indexed: 12/29/2022] Open
Abstract
Biomarkers for dementia of Alzheimer's type (DAT) are sought to facilitate accurate prediction of the disease onset, ideally predating the onset of cognitive deterioration. T1-weighted magnetic resonance imaging (MRI) is a commonly used neuroimaging modality for measuring brain structure in vivo, potentially providing information enabling the design of biomarkers for DAT. We propose a novel biomarker using structural MRI volume-based features to compute a similarity score for the individual's structural patterns relative to those observed in the DAT group. We employed ensemble-learning framework that combines structural features in most discriminative ROIs to create an aggregate measure of neurodegeneration in the brain. This classifier is trained on 423 stable normal control (NC) and 330 DAT subjects, where clinical diagnosis is likely to have the highest certainty. Independent validation on 8,834 unseen images from ADNI, AIBL, OASIS, and MIRIAD Alzheimer's disease (AD) databases showed promising potential to predict the development of DAT depending on the time-to-conversion (TTC). Classification performance on stable versus progressive mild cognitive impairment (MCI) groups achieved an AUC of 0.81 for TTC of 6 months and 0.73 for TTC of up to 7 years, achieving state-of-the-art results. The output score, indicating similarity to patterns seen in DAT, provides an intuitive measure of how closely the individual's brain features resemble the DAT group. This score can be used for assessing the presence of AD structural atrophy patterns in normal aging and MCI stages, as well as monitoring the progression of the individual's brain along with the disease course.
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Affiliation(s)
- Karteek Popuri
- School of Engineering ScienceSimon Fraser UniversityBarnabyBritish ColumbiaCanada
| | - Da Ma
- School of Engineering ScienceSimon Fraser UniversityBarnabyBritish ColumbiaCanada
| | - Lei Wang
- Feinberg School of MedicineNorthwestern UniversityEvanstonIllinoisUSA
| | - Mirza Faisal Beg
- School of Engineering ScienceSimon Fraser UniversityBarnabyBritish ColumbiaCanada
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14
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Thyreau B, Taki Y. Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks. Med Image Anal 2020; 61:101639. [DOI: 10.1016/j.media.2020.101639] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 12/27/2019] [Accepted: 01/09/2020] [Indexed: 10/25/2022]
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15
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Sarrazin S, Poupon C, Teillac A, Mangin JF, Polosan M, Favre P, Laidi C, D'Albis MA, Leboyer M, Lledo PM, Henry C, Houenou J. Higher in vivo Cortical Intracellular Volume Fraction Associated with Lithium Therapy in Bipolar Disorder: A Multicenter NODDI Study. PSYCHOTHERAPY AND PSYCHOSOMATICS 2020; 88:171-176. [PMID: 30955011 DOI: 10.1159/000498854] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 02/12/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND MRI studies in patients with bipolar disorder have suggested that lithium is associated with grey matter increases that may underlie its therapeutic effects. However, the relationship between grey matter volume and cellular microstructural changes is not straightforward, as modifications of different cellular compartments of grey matter may be involved. OBJECTIVES Our aim was to test the hypothesis that dendritic density is higher in patients undergoing lithium therapy than in patients without lithium, using advanced modelling of water diffusion investigated with MRI. METHOD We included 41 patients and 40 controls matched for age and gender from two sites. All subjects underwent 3T MRI with 3 shells of diffusion. We used neurite orientation dispersion and density imaging to compare the grey matter neurite density between patients undergoing lithium therapy or not and control subjects. RESULTS We found a significant group effect in the left prefrontal region (p = 0.001, Bonferroni corrected): patients without lithium had a lower frontal neurite density than controls (p = 0.009), while those on lithium had a higher mean neurite density than those without (p < 0.001). Patients on lithium were not different from controls (p = 0.08). CONCLUSIONS This is the first study to report in vivo evidence of preserved neurite density of the prefrontal cortex in humans associated with lithium intake. Changes of intracellular volume fraction are thought to reflect changes of grey matter microstructural organization. This reinforces the hypothesis of lithium having a positive effect on the neuronal compartment in humans.
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Affiliation(s)
- Samuel Sarrazin
- INSERM U955, IMRB, Team 15, "Translational Psychiatry", Créteil, France.,Assistance Publique - Hôpitaux de Paris, DHU PePSY, Department of Psychiatry, Mondor University Hospitals, Créteil, France.,NeuroSpin, Atomic Energy Commission, Gif-sur-Yvette, France.,Université Paris Est Créteil, Créteil, France
| | - Cyril Poupon
- NeuroSpin, Atomic Energy Commission, Gif-sur-Yvette, France
| | | | | | - Mircea Polosan
- Grenoble Institut des Neurosciences (GIN), INSERM U836, La Tronche, France
| | - Pauline Favre
- INSERM U955, IMRB, Team 15, "Translational Psychiatry", Créteil, France.,NeuroSpin, Atomic Energy Commission, Gif-sur-Yvette, France
| | - Charles Laidi
- INSERM U955, IMRB, Team 15, "Translational Psychiatry", Créteil, France.,Assistance Publique - Hôpitaux de Paris, DHU PePSY, Department of Psychiatry, Mondor University Hospitals, Créteil, France.,NeuroSpin, Atomic Energy Commission, Gif-sur-Yvette, France.,Université Paris Est Créteil, Créteil, France.,Fondation FondaMental, Créteil, France
| | - Marc-Antoine D'Albis
- INSERM U955, IMRB, Team 15, "Translational Psychiatry", Créteil, France.,Assistance Publique - Hôpitaux de Paris, DHU PePSY, Department of Psychiatry, Mondor University Hospitals, Créteil, France.,NeuroSpin, Atomic Energy Commission, Gif-sur-Yvette, France.,Fondation FondaMental, Créteil, France
| | - Marion Leboyer
- INSERM U955, IMRB, Team 15, "Translational Psychiatry", Créteil, France.,Assistance Publique - Hôpitaux de Paris, DHU PePSY, Department of Psychiatry, Mondor University Hospitals, Créteil, France.,Université Paris Est Créteil, Créteil, France.,Fondation FondaMental, Créteil, France
| | | | - Chantal Henry
- Unité Perception et Mémoire, Institut Pasteur, Paris, France
| | - Josselin Houenou
- INSERM U955, IMRB, Team 15, "Translational Psychiatry", Créteil, France, .,Assistance Publique - Hôpitaux de Paris, DHU PePSY, Department of Psychiatry, Mondor University Hospitals, Créteil, France, .,NeuroSpin, Atomic Energy Commission, Gif-sur-Yvette, France, .,Université Paris Est Créteil, Créteil, France, .,Fondation FondaMental, Créteil, France,
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16
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Marcotte C, Potvin O, Collins DL, Rheault S, Duchesne S. Brain atrophy and patch-based grading in individuals from the CIMA-Q study: a progressive continuum from subjective cognitive decline to AD. Sci Rep 2019; 9:13532. [PMID: 31537852 PMCID: PMC6753115 DOI: 10.1038/s41598-019-49914-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 08/29/2019] [Indexed: 01/18/2023] Open
Abstract
It has been proposed that individuals developing Alzheimer's disease (AD) first experience a phase expressing subjective complaints of cognitive decline (SCD) without objective cognitive impairment. Using magnetic resonance imaging (MRI), our objective was to verify whether SNIPE probability grading, a new MRI analysis technique, would distinguish between clinical dementia stage of AD: Cognitively healthy controls without complaint (CH), SCD, mild cognitive impairment, and AD. SNIPE score in the hippocampus and entorhinal cortex was applied to anatomical T1-weighted MRI of 143 participants from the Consortium pour l'identification précoce de la maladie Alzheimer - Québec (CIMA-Q) study and compared to standard atrophy measures (volumes and cortical thicknesses). Compared to standard atrophy measures, SNIPE score appeared more sensitive to differentiate clinical AD since differences between groups reached a higher level of significance and larger effect sizes. However, no significant difference was observed between SCD and CH groups. Combining both types of measures did not improve between-group differences. Further studies using a combination of biomarkers beyond anatomical MRI might be needed to identify individuals with SCD who are on the beginning of the clinical continuum of AD.
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Affiliation(s)
| | - Olivier Potvin
- Centre de recherche CERVO Research Centre, Québec, Canada
| | - D Louis Collins
- Montreal Neurological Institute, McGill University, Montreal, Canada
- True Positive Medical Devices Inc., Montreal, Canada
| | - Sylvie Rheault
- Département de neurosciences, Université de Montréal, Montréal, Canada
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, Canada
| | - Simon Duchesne
- Centre de recherche CERVO Research Centre, Québec, Canada.
- True Positive Medical Devices Inc., Montreal, Canada.
- Département de radiologie et médecine nucléaire, Faculté de médecine, Université Laval, Québec, Canada.
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17
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Potvin O, Khademi A, Chouinard I, Farokhian F, Dieumegarde L, Leppert I, Hoge R, Rajah MN, Bellec P, Duchesne S. Measurement Variability Following MRI System Upgrade. Front Neurol 2019; 10:726. [PMID: 31379704 PMCID: PMC6648007 DOI: 10.3389/fneur.2019.00726] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 06/19/2019] [Indexed: 12/02/2022] Open
Abstract
Major hardware/software changes to MRI platforms, either planned or unplanned, will almost invariably occur in longitudinal studies. Our objective was to assess the resulting variability on relevant imaging measurements in such context, specifically for three Siemens Healthcare Magnetom Trio upgrades to the Prismafit platform. We report data acquired on three healthy volunteers scanned before and after three different platform upgrades. We assessed differences in image signal [contrast-to-noise ratio (CNR)] on T1-weighted images (T1w) and fluid-attenuated inversion recovery images (FLAIR); brain morphometry on T1w image; and small vessel disease (white matter hyperintensities; WMH) on FLAIR image. Prismafit upgrade resulted in higher (30%) and more variable neocortical CNR and larger brain volume and thickness mainly in frontal areas. A significant relationship was observed between neocortical CNR and neocortical volume. For FLAIR images, no significant CNR difference was observed, but WMH volumes were significantly smaller (-68%) after Prismafit upgrade, when compared to results on the Magnetom Trio. Together, these results indicate that Prismafit upgrade significantly influenced image signal, brain morphometry measures and small vessel diseases measures and that these effects need to be taken into account when analyzing results from any longitudinal study undergoing similar changes.
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Affiliation(s)
| | - April Khademi
- Image Analysis in Medicine Lab, Ryerson University, Toronto, ON, Canada
| | | | | | | | - Ilana Leppert
- McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, Montreal, QC, Canada
| | - Rick Hoge
- McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, Montreal, QC, Canada
| | - Maria Natasha Rajah
- McGill University, Montreal, QC, Canada.,Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Pierre Bellec
- Institut Universitaire en Gériatrie de Montréal, Montreal, QC, Canada.,Département de Psychologie, Université de Montréal, Montreal, QC, Canada
| | - Simon Duchesne
- Centre de Recherche CERVO, Quebec, QC, Canada.,Département de Radiologie et de Médecine Nucléaire, Université Laval, Quebec, QC, Canada
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18
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Ma D, Popuri K, Bhalla M, Sangha O, Lu D, Cao J, Jacova C, Wang L, Beg MF. Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database. Hum Brain Mapp 2019; 40:1507-1527. [PMID: 30431208 PMCID: PMC6449147 DOI: 10.1002/hbm.24463] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 10/25/2018] [Accepted: 10/26/2018] [Indexed: 12/29/2022] Open
Abstract
When analyzing large multicenter databases, the effects of multiple confounding covariates increase the variability in the data and may reduce the ability to detect changes due to the actual effect of interest, for example, changes due to disease. Efficient ways to evaluate the effect of covariates toward the data harmonization are therefore important. In this article, we showcase techniques to assess the "goodness of harmonization" of covariates. We analyze 7,656 MR images in the multisite, multiscanner Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We present a comparison of three methods for estimating total intracranial volume to assess their robustness and correct the brain structure volumes using the residual method and the proportional (normalization by division) method. We then evaluated the distribution of brain structure volumes over the entire ADNI database before and after accounting for multiple covariates such as total intracranial volume, scanner field strength, sex, and age using two techniques: (a) Zscapes, a panoramic visualization technique to analyze the entire database and (b) empirical cumulative distributions functions. The results from this study highlight the importance of assessing the goodness of data harmonization as a necessary preprocessing step when pooling large data set with multiple covariates, prior to further statistical data analysis.
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Affiliation(s)
- Da Ma
- School of Engineering ScienceSimon Fraser UniversityBurnabyBritish ColumbiaCanada
| | - Karteek Popuri
- School of Engineering ScienceSimon Fraser UniversityBurnabyBritish ColumbiaCanada
| | - Mahadev Bhalla
- School of Engineering ScienceSimon Fraser UniversityBurnabyBritish ColumbiaCanada
- Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Oshin Sangha
- School of Engineering ScienceSimon Fraser UniversityBurnabyBritish ColumbiaCanada
| | - Donghuan Lu
- School of Engineering ScienceSimon Fraser UniversityBurnabyBritish ColumbiaCanada
| | - Jiguo Cao
- Department of Statistics and Actuarial ScienceSimon Fraser UniversityBurnabyBritish ColumbiaCanada
| | - Claudia Jacova
- Department of Medicine, Division of NeurologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Lei Wang
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinois
| | - Mirza Faisal Beg
- School of Engineering ScienceSimon Fraser UniversityBurnabyBritish ColumbiaCanada
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19
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Effects of aging on brain volumes in healthy individuals across adulthood. Neurol Sci 2019; 40:1191-1198. [DOI: 10.1007/s10072-019-03817-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 02/27/2019] [Indexed: 12/17/2022]
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20
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Aboud KS, Huo Y, Kang H, Ealey A, Resnick SM, Landman BA, Cutting LE. Structural covariance across the lifespan: Brain development and aging through the lens of inter-network relationships. Hum Brain Mapp 2018; 40:125-136. [PMID: 30368995 DOI: 10.1002/hbm.24359] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 08/03/2018] [Accepted: 08/08/2018] [Indexed: 12/12/2022] Open
Abstract
Recent studies have revealed that brain development is marked by morphological synchronization across brain regions. Regions with shared growth trajectories form structural covariance networks (SCNs) that not only map onto functionally identified cognitive systems, but also correlate with a range of cognitive abilities across the lifespan. Despite advances in within-network covariance examinations, few studies have examined lifetime patterns of structural relationships across known SCNs. In the current study, we used a big-data framework and a novel application of covariate-adjusted restricted cubic spline regression to identify volumetric network trajectories and covariance patterns across 13 networks (n = 5,019, ages = 7-90). Our findings revealed that typical development and aging are marked by significant shifts in the degree that networks preferentially coordinate with one another (i.e., modularity). Specifically, childhood showed higher modularity of networks compared to adolescence, reflecting a shift over development from segregation to desegregation of inter-network relationships. The shift from young to middle adulthood was marked by a significant decrease in inter-network modularity and organization, which continued into older adulthood, potentially reflecting changes in brain organizational efficiency with age. This study is the first to characterize brain development and aging in terms of inter-network structural covariance across the lifespan.
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Affiliation(s)
- Katherine S Aboud
- Department of Special Education, Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee
| | - Yuankai Huo
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee
| | - Ashley Ealey
- Department of Neuroscience, Agnes Scott College, Decatur, Georgia
| | | | - Bennett A Landman
- Departments of Electrical Engineering and Computer Science, Biomedical Engineering, Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee
| | - Laurie E Cutting
- Departments of Special Education, Psychology, Radiology, Pediatrics, Institute of Imaging Sciences, Vanderbilt University, Nashville, Tennessee
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21
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MacDonald ME, Williams RJ, Forkert ND, Berman AJL, McCreary CR, Frayne R, Pike GB. Interdatabase Variability in Cortical Thickness Measurements. Cereb Cortex 2018; 29:3282-3293. [DOI: 10.1093/cercor/bhy197] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 06/29/2018] [Accepted: 07/27/2018] [Indexed: 11/13/2022] Open
Abstract
Abstract
The phenomenon of cortical thinning with age has been well established; however, the measured rate of change varies between studies. The source of this variation could be image acquisition techniques including hardware and vendor specific differences. Databases are often consolidated to increase the number of subjects but underlying differences between these datasets could have undesired effects. We explore differences in cerebral cortex thinning between 4 databases, totaling 1382 subjects. We investigate several aspects of these databases, including: 1) differences between databases of cortical thinning rates versus age, 2) correlation of cortical thinning rates between regions for each database, and 3) regression bootstrapping to determine the effect of the number of subjects included. We also examined the effect of different databases on age prediction modeling. Cortical thinning rates were significantly different between databases in all 68 parcellated regions (ANCOVA, P < 0.001). Subtle differences were observed in correlation matrices and bootstrapping convergence. Age prediction modeling using a leave-one-out cross-validation approach showed varying prediction performance (0.64 < R2 < 0.82) between databases. When a database was used to calibrate the model and then applied to another database, prediction performance consistently decreased. We conclude that there are indeed differences in the measured cortical thinning rates between these large-scale databases.
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Affiliation(s)
- M Ethan MacDonald
- Departments of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Lab, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Rebecca J Williams
- Departments of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Lab, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Nils D Forkert
- Departments of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Lab, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Avery J L Berman
- Departments of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Lab, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Cheryl R McCreary
- Departments of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Lab, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Seaman Family Magnetic Resonance Research Centre, Foothills Medical Centre, Alberta Health Services, Calgary, Alberta, Canada
| | - Richard Frayne
- Departments of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Seaman Family Magnetic Resonance Research Centre, Foothills Medical Centre, Alberta Health Services, Calgary, Alberta, Canada
| | - G Bruce Pike
- Departments of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Lab, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
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22
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Coupé P, Catheline G, Lanuza E, Manjón JV. Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis. Hum Brain Mapp 2017; 38:5501-5518. [PMID: 28737295 PMCID: PMC6866824 DOI: 10.1002/hbm.23743] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 07/12/2017] [Accepted: 07/16/2017] [Indexed: 12/13/2022] Open
Abstract
There is no consensus in literature about lifespan brain maturation and senescence, mainly because previous lifespan studies have been performed on restricted age periods and/or with a limited number of scans, making results instable and their comparison very difficult. Moreover, the use of nonharmonized tools and different volumetric measurements lead to a great discrepancy in reported results. Thanks to the new paradigm of BigData sharing in neuroimaging and the last advances in image processing enabling to process baby as well as elderly scans with the same tool, new insights on brain maturation and aging can be obtained. This study presents brain volume trajectory over the entire lifespan using the largest age range to date (from few months of life to elderly) and one of the largest number of subjects (N = 2,944). First, we found that white matter trajectory based on absolute and normalized volumes follows an inverted U-shape with a maturation peak around middle life. Second, we found that from 1 to 8-10 y there is an absolute gray matter (GM) increase related to body growth followed by a GM decrease. However, when normalized volumes were considered, GM continuously decreases all along the life. Finally, we found that this observation holds for almost all the considered subcortical structures except for amygdala which is rather stable and hippocampus which exhibits an inverted U-shape with a longer maturation period. By revealing the entire brain trajectory picture, a consensus can be drawn since most of the previously discussed discrepancies can be explained. Hum Brain Mapp 38:5501-5518, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Pierrick Coupé
- University of Bordeaux, LaBRI, UMR 5800, PICTURATalenceF‐33400France
- CNRS, LaBRI, UMR 5800, PICTURATalenceF‐33400France
| | - Gwenaelle Catheline
- University of Bordeaux, CNRS, EPHE PSL Research University of, INCIA, UMR 5283BordeauxF‐33000, France
| | - Enrique Lanuza
- Department of Cell BiologyUniversity of ValenciaBurjassotValencia46100Spain
| | - José Vicente Manjón
- Instituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Camino de Vera s/nValencia46022Spain
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23
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Madan CR. Advances in Studying Brain Morphology: The Benefits of Open-Access Data. Front Hum Neurosci 2017; 11:405. [PMID: 28824407 PMCID: PMC5543094 DOI: 10.3389/fnhum.2017.00405] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 07/21/2017] [Indexed: 12/20/2022] Open
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24
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Potvin O, Dieumegarde L, Duchesne S. Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain. Neuroimage 2017; 156:315-339. [PMID: 28512057 DOI: 10.1016/j.neuroimage.2017.05.019] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 05/03/2017] [Accepted: 05/11/2017] [Indexed: 12/21/2022] Open
Abstract
Proper normative data of anatomical measurements of cortical regions, allowing to quantify brain abnormalities, are lacking. We developed norms for regional cortical surface areas, thicknesses, and volumes based on cross-sectional MRI scans from 2713 healthy individuals aged 18 to 94 years using 23 samples provided by 21 independent research groups. The segmentation was conducted using FreeSurfer, a widely used and freely available automated segmentation software. Models predicting regional cortical estimates of each hemisphere were produced using age, sex, estimated total intracranial volume (eTIV), scanner manufacturer, magnetic field strength, and interactions as predictors. The explained variance for the left/right cortex was 76%/76% for surface area, 43%/42% for thickness, and 80%/80% for volume. The mean explained variance for all regions was 41% for surface areas, 27% for thicknesses, and 46% for volumes. Age, sex and eTIV predicted most of the explained variance for surface areas and volumes while age was the main predictors for thicknesses. Scanner characteristics generally predicted a limited amount of variance, but this effect was stronger for thicknesses than surface areas and volumes. For new individuals, estimates of their expected surface area, thickness and volume based on their characteristics and the scanner characteristics can be obtained using the derived formulas, as well as Z score effect sizes denoting the extent of the deviation from the normative sample. Models predicting normative values were validated in independent samples of healthy adults, showing satisfactory validation R2. Deviations from the normative sample were measured in individuals with mild Alzheimer's disease and schizophrenia and expected patterns of deviations were observed.
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Affiliation(s)
- Olivier Potvin
- Centre de recherche CERVO Research Center, 2601, de la Canardière, Québec, Canada G1J 2G3
| | - Louis Dieumegarde
- Centre de recherche CERVO Research Center, 2601, de la Canardière, Québec, Canada G1J 2G3
| | - Simon Duchesne
- Centre de recherche CERVO Research Center, 2601, de la Canardière, Québec, Canada G1J 2G3; Département de radiologie, Faculté de médecine, Université Laval, 1050, avenue de la Médecine, Québec, Canada G1V 0A6.
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