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Ban M, He J, Wang D, Cao Y, Kong L, Yuan F, Qian Z, Zhu X. Association between segmental alterations of white matter bundles and cognitive performance in first-episode, treatment-naïve young adults with major depressive disorder. J Affect Disord 2024; 358:309-317. [PMID: 38703905 DOI: 10.1016/j.jad.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/17/2024] [Accepted: 05/01/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Cumulative evidence has consistently shown that white matter (WM) disruption is associated with cognitive decline in geriatric depression. However, limited research has been conducted on the correlation between these lesions and cognitive performance in untreated young adults with major depressive disorder (MDD), particularly with the specific segmental alterations of the fibers. METHOD Diffusion tensor images were performed on 60 first-episode, treatment-naïve young adult patients with MDD and 54 matched healthy controls (HCs). Automated fiber quantification was applied to calculate the tract profiles of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) to evaluate the WM microstructural organization. Correlation analysis was performed to find the associations between the diffusion properties and cognitive performance. RESULTS Compared with HCs, patients with MDD exhibited predominantly different diffusion properties in bilateral uncinate fasciculus (UF), corticospinal tracts (CSTs), left superior longitudinal fasciculus and anterior thalamic radiation. The FA of the temporal cortex portion of right UF was positively correlated with working memory. The MD of the temporal component of left UF was negatively correlated with working memory and positively correlated with symptom severity. Additionally, a positive correlation between the MD of left CST and the psychomotor speed, negative correlation between the MD of left CST and the executive functions and complex attentional processes were observed. CONCLUSIONS Our study validated the alterations in spatial localization of WM microstructure and its correlations with cognitive performance in first-episode, treatment-naïve young adults with MDD. This study added to the knowledge of the neuropathological basis of MDD.
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Affiliation(s)
- Meiting Ban
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Jincheng He
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Dongcui Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuegui Cao
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Lingyu Kong
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Fulai Yuan
- Health Management Center, Xiangya Hospital, Central South University, Changsha, China
| | - Zhaoxin Qian
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Xueling Zhu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China; Hunan Singhand Intelligent Data Technology Co., Ltd, China.
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2
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Ford A, Ammar Z, Li L, Shultz S. Lateralization of major white matter tracts during infancy is time-varying and tract-specific. Cereb Cortex 2023; 33:10221-10233. [PMID: 37595203 PMCID: PMC10545441 DOI: 10.1093/cercor/bhad277] [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: 03/24/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 08/20/2023] Open
Abstract
Lateralization patterns are a major structural feature of brain white matter and have been investigated as a neural architecture that indicates and supports the specialization of cognitive processing and observed behaviors, e.g. language skills. Many neurodevelopmental disorders have been associated with atypical lateralization, reinforcing the need for careful measurement and study of this structural characteristic. Unfortunately, there is little consensus on the direction and magnitude of lateralization in major white matter tracts during the first months and years of life-the period of most rapid postnatal brain growth and cognitive maturation. In addition, no studies have examined white matter lateralization in a longitudinal pediatric sample-preventing confirmation of if and how white matter lateralization changes over time. Using a densely sampled longitudinal data set from neurotypical infants aged 0-6 months, we aim to (i) chart trajectories of white matter lateralization in 9 major tracts and (ii) link variable findings from cross-sectional studies of white matter lateralization in early infancy. We show that patterns of lateralization are time-varying and tract-specific and that differences in lateralization results during this period may reflect the dynamic nature of lateralization through development, which can be missed in cross-sectional studies.
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Affiliation(s)
- Aiden Ford
- Neuroscience Program, Emory University, Atlanta, GA 30322, United States
- Marcus Autism Center, Children’s Healthcare of Atlanta, Atlanta, GA 30329, United States
| | - Zeena Ammar
- Neuroscience Program, Emory University, Atlanta, GA 30322, United States
- Marcus Autism Center, Children’s Healthcare of Atlanta, Atlanta, GA 30329, United States
| | - Longchuan Li
- Marcus Autism Center, Children’s Healthcare of Atlanta, Atlanta, GA 30329, United States
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States
| | - Sarah Shultz
- Neuroscience Program, Emory University, Atlanta, GA 30322, United States
- Marcus Autism Center, Children’s Healthcare of Atlanta, Atlanta, GA 30329, United States
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States
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3
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Brown O, Healey K, Fang Z, Zemek R, Smith A, Ledoux AA. Associations between psychological resilience and metrics of white matter microstructure in pediatric concussion. Hum Brain Mapp 2023. [PMID: 37126608 DOI: 10.1002/hbm.26321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/11/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023] Open
Abstract
This study investigated associations between psychological resilience and characteristics of white matter microstructure in pediatric concussion. This is a case control study and a planned substudy of a larger randomized controlled trial. Children with an acute concussion or orthopedic injury were recruited from the emergency department. Participants completed both the Connor-Davidson Resilience Scale 10 and an MRI at 72 h and 4-weeks post-injury. The association between resiliency and fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) at both timepoints were examined. We examined whether these associations were moderated by group. The association between resiliency captured at 72 h and diffusion tensor imaging metrics at 4 weeks was also investigated. Clusters were extracted using a significance threshold of threshold-free cluster enhancement corrected p < .05. A total of 66 children with concussion (median (IQR) age = 12.88 (IQR: 11.80-14.36); 47% female) and 29 children with orthopedic-injury (median (IQR) age = 12.49 (IQR: 11.18-14.01); 41% female) were included. A negative correlation was identified in the concussion group between 72 h resilience and 72 h FA. Meanwhile, positive correlations were identified in the concussion group with concussion between 72 h resilience and both 72 h MD and 72 h RD. These findings suggest that 72 h resilience is associated with white matter microstructure of the forceps minor, superior longitudinal fasciculus, and anterior thalamic radiation at 72 h post-concussion. Resilience seems to be associated with neural integrity only in the acute phase of concussion and thus may be considered when researching concussion recovery.
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Affiliation(s)
- Olivier Brown
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Katherine Healey
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Zhuo Fang
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Roger Zemek
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Pediatrics and Emergency Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Andra Smith
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Andrée-Anne Ledoux
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
- Department of Cellular Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
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4
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Wu Y, Hu S, Wang Y, Dong T, Wu H, Wang A, Li C, Kan H. Altered microstructural pattern of the cortex and basal forebrain cholinergic system in wilson's disease: an automated fiber quantification tractography study. Brain Imaging Behav 2023; 17:200-212. [PMID: 36690883 DOI: 10.1007/s11682-022-00753-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 01/25/2023]
Abstract
Basal forebrain (BF) cholinergic projection neurons form a highly extensive input to the cortex. Failure of BF cholinergic circuits is responsible for the cognitive impairment associated with Wilson's disease (WD), but whether and how the microstructural changes in fiber projections between the BF and cerebral cortex influence prospective memory (PM) remain poorly understood. We collected diffusion tensor imaging (DTI) data from 21 neurological WD individuals and 26 healthy controls (HCs). The experiment reconstructed the probabilistic streamlined tractography of 18 white matter tracts using an automated fiber quantification (AFQ) toolkit. Tract properties (FA, MD, RD, and AD) were computed for 100 points along each tract for each participant, and the differences between the groups were examined. Subsequently, correlation analysis was performed to evaluate whether abnormal microstructural white matter integrity measures correlate with PM performance. Additional investigations used a tract-based spatial statistics (TBSS) approach to identify regions with altered white matter structure between groups and verify the reliability of the AFQ results. The highest nonoverlapping DTI-related differences were detected in the anterior thalamic radiation (ATR), corticospinal tract (CST), corpus callosum, association fibers, and limbic system fibers. Additionally, PM parameters of the patient group were highly correlated with white matter microstructure changes in the inferior longitudinal fasciculus. Our study highlights that the performance of projections between cholinergic input and output areas-the cerebral cortex and BF-may serve as neural biomarkers of PM and disease prognosis.
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Affiliation(s)
- Yutong Wu
- School of Medical Information Engineering, Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China
| | - Sheng Hu
- School of Medical Information Engineering, Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China. .,Centers for Biomedical Engineering, University of Science and Technology of China, 230027, Hefei, Anhui, China.
| | - Yi Wang
- School of Medical Information Engineering, Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China
| | - Ting Dong
- Medical Imaging Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China
| | - Hongli Wu
- School of Medical Information Engineering, Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China
| | - Anqin Wang
- Medical Imaging Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China
| | - Chuanfu Li
- Medical Imaging Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China
| | - Hongxing Kan
- School of Medical Information Engineering, Anhui University of Chinese Medicine, 230012, Hefei, Anhui, China.
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5
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Kumpulainen V, Merisaari H, Copeland A, Silver E, Pulli EP, Lewis JD, Saukko E, Saunavaara J, Karlsson L, Karlsson H, Tuulari JJ. Effect of number of diffusion encoding directions in Diffusion Metrics of 5-year-olds using Tract-Based Spatial Statistical analysis. Eur J Neurosci 2022; 56:4843-4868. [PMID: 35904522 PMCID: PMC9545012 DOI: 10.1111/ejn.15785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 06/21/2022] [Accepted: 07/26/2022] [Indexed: 11/29/2022]
Abstract
Methodological aspects and effects of different imaging parameters on DTI (diffusion tensor imaging) results and their reproducibility have been recently studied comprehensively in adult populations. Although MR imaging of children's brains has become common, less interest has been focussed on researching whether adult‐based optimised parameters and pre‐processing protocols can be reliably applied to paediatric populations. Furthermore, DTI scalar values of preschool aged children are rarely reported. We gathered a DTI dataset from 5‐year‐old children (N = 49) to study the effect of the number of diffusion‐encoding directions on the reliability of resultant scalar values with TBSS (tract‐based spatial statistics) method. Additionally, the potential effect of within‐scan head motion on DTI scalars was evaluated. Reducing the number of diffusion‐encoding directions deteriorated both the accuracy and the precision of all DTI scalar values. To obtain reliable scalar values, a minimum of 18 directions for TBSS was required. For TBSS fractional anisotropy values, the intraclass correlation coefficient with two‐way random‐effects model (ICC[2,1]) for the subsets of 6 to 66 directions ranged between 0.136 [95%CI 0.0767;0.227] and 0.639 [0.542;0.740], whereas the corresponding values for subsets of 18 to 66 directions were 0.868 [0.815;0.913] and 0.995 [0.993;0.997]. Following the exclusion of motion‐corrupted volumes, minor residual motion did not associate with the scalar values. A minimum of 18 diffusion directions is recommended to result in reliable DTI scalar results with TBSS. We suggest gathering extra directions in paediatric DTI to enable exclusion of volumes with motion artefacts and simultaneously preserve the overall data quality.
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Affiliation(s)
- Venla Kumpulainen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Radiology, Turku University Hospital, Turku, Finland
| | - Anni Copeland
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Eero Silver
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Elmo P Pulli
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - John D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Ekaterina Saukko
- Department of Radiology, Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital and University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital & University of Turku, Turku, Finland.,Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital & University of Turku, Turku, Finland.,Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital & University of Turku, Turku, Finland.,Turku Collegium for Science and Medicine, University of Turku, Turku, Finland
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6
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Raja R, Na X, Moore A, Otoo R, Glasier CM, Badger TM, Ou X. Associations Between White Matter Microstructures and Cognitive Functioning in 8-Year-Old Children: A Track-Weighted Imaging Study. J Child Neurol 2022; 37:471-490. [PMID: 35254148 PMCID: PMC9149064 DOI: 10.1177/08830738221083487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE Quantitative tractography using diffusion-weighted magnetic resonance imaging data is widely used in characterizing white matter microstructure throughout childhood, but more studies are still needed to investigate comprehensive brain-behavior relationships between tract-specific white matter measures and multiple cognitive functions in children. METHODS In this study, we analyzed diffusion-weighted MRI data of 71 healthy 8-year-old children utilizing white matter tract-specific quantitative measures derived from diffusion-weighted MRI tractography based on a novel track-weighted imaging approach. Track density imaging, average path length map and 4 track-weighted diffusion tensor imaging measures including: mean diffusivity, fractional anisotropy, axial diffusivity, and radial diffusivity were computed for 63 white matter tracts. The track-weighted imaging measures were then correlated with a comprehensive set of neuropsychological test scores in different cognitive domains including intelligence, language, memory, academic skills, and executive functions to identify tract-specific brain-behavior relationships. RESULTS Significant correlations (P < .05, false discovery rate corrected; r = 0.27-0.57) were found in multiple white matter tracts, with a total of 40 correlations identified between various track-weighted imaging measures including average path length map, track-weighted imaging-fractional anisotropy, and neuropsychological test scores and subscales. Specifically, track-weighted imaging measures indicative of better white matter connectivity and/or microstructural development significantly correlated with higher IQ and better language abilities. CONCLUSION Our findings demonstrate the ability of track-weighted imaging measures in establishing associations between white matter and cognitive functioning in healthy children and can serve as a reference for normal brain/cognition relationships in young school-age children and further aid in identifying imaging biomarkers predictive of adverse neurodevelopmental outcomes.
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Affiliation(s)
- Rajikha Raja
- Department of Radiology, University of Arkansas for Medical Sciences
| | - Xiaoxu Na
- Department of Radiology, University of Arkansas for Medical Sciences
| | - Alexandra Moore
- College of Medicine, University of Arkansas for Medical Sciences
| | - Raymond Otoo
- College of Medicine, University of Arkansas for Medical Sciences
| | - Charles M. Glasier
- Department of Radiology, University of Arkansas for Medical Sciences,Department of Pediatrics, University of Arkansas for Medical Sciences
| | - Thomas M. Badger
- Department of Pediatrics, University of Arkansas for Medical Sciences,Arkansas Children’s Nutrition Center
| | - Xiawei Ou
- Department of Radiology, University of Arkansas for Medical Sciences,Department of Pediatrics, University of Arkansas for Medical Sciences
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7
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Sex differences in microstructural alterations in the corpus callosum tracts in drug-naïve children with ADHD. Brain Imaging Behav 2022; 16:1592-1604. [PMID: 35102486 DOI: 10.1007/s11682-021-00556-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 09/05/2021] [Indexed: 02/05/2023]
Abstract
Widespread alterations in the corpus callosum (CC) microstructure and organization have been found in children with attention-deficit/hyperactivity disorder (ADHD); however, few studies have investigated the diffusion characteristics and volume of transcallosal fiber tracts defined by specific cortical projections in ADHD, which is important for identifying distinct functional interhemispheric connection abnormalities. In the current study, an automated fiber-tract quantification (AFQ) approach based on diffusion tensor imaging identified seven CC tracts according to their cortical projections and estimated diffusion parameters and volume among 76 drug-naïve ADHD patients (53 boys and 23 girls) and 37 typically developing children (TDC) (20 boys and 17 girls) matched for age, IQ, and handedness. We found significantly lower fractional anisotropy (FA) in the occipital and superior parietal tracts and higher mean diffusivity (MD) in the posterior, superior parietal and anterior frontal tracts in children with ADHD compared with TDC. In addition, lower FA and higher radial diffusivity (RD) in the occipital callosal tract were significantly associated with higher hyperactivity and impulsivity performance in ADHD. In addition, sex-by-diagnosis interactions were observed in the occipital, posterior and superior parietal tracts. Girls with ADHD showed decreased FA and volume in the occipital tract, which were significantly associated with increased impulsivity performance and poor response control, and increased MD in the posterior and superior parietal callosal tracts, which were significantly associated with increased inattention performance, whereas boys with ADHD merely showed decreased volume in the frontal tract. Our results elucidated that sex-specific alterations in the CC tracts potentially underlie ADHD symptomatology and further suggested a differential contribution of abnormalities in different CC tracts to impulsivity and inattention among girls with ADHD.
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8
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Raja R, Na X, Badger TM, Ou X. Neural correlates of sleep quality in children: Sex-specific associations shown by brain diffusion tractography. J Neuroimaging 2022; 32:530-543. [PMID: 35041231 PMCID: PMC9173651 DOI: 10.1111/jon.12964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/08/2021] [Accepted: 12/25/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND AND PURPOSE Sleep quality is important for healthy growth and development of children. We aimed to identify associations between sleep disturbances in healthy children without clinical diagnosis of sleep disorders and brain white matter (WM) microstructure using an advanced diffusion-weighted magnetic resonance imaging (DW-MRI) based tractography analysis, and to explore whether there are sex differences in these associations. METHODS Brain DW-MRI data were collected from sixty-two 8-year-old children (28 boys, 34 girls) whose parents also completed Children's Sleep Habits Questionnaire (CSHQ). Track-weighted imaging (TWI) measures were computed from the DW-MRI data for 37 WM tracts in each subject. Sex-specific partial correlation analyses were performed to evaluate correlations between TWI measures and a set of sleep disturbance scores derived from the CSHQ. RESULTS Significant correlations (P < .05, FDR-corrected; r: .48-.67) were identified in 13 WM tracts between TWI and sleep disturbance scores. Sexually dimorphic differences in correlations between sleep disturbance scores and WM microstructure measurements were observed. Specifically, in boys, daytime sleepiness positively correlated with track-weighted mean or radial diffusivity in 10 WM tracts (bilateral arcuate fasciculus, left cingulum, right middle longitudinal fasciculus, and three bilateral segments of superior longitudinal fasciculus). In girls, total CSHQ score, night walking, or sleep onset delay negatively correlated with track-weighted fractional anisotropy or axial diffusivity in 4 WM tracts (bilateral inferior longitudinal fasciculus and uncinate fasciculus). CONCLUSIONS The findings suggest that sleep disturbances without clinical diagnosis of sleep disorders are associated with lower WM microstructural integrity in children. Additionally, the associations possess unique patterns in boys and girls.
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Affiliation(s)
- Rajikha Raja
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Xiaoxu Na
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Thomas M Badger
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.,Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
| | - Xiawei Ou
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.,Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.,Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.,Arkansas Children's Research Institute, Little Rock, Arkansas, USA
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9
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OUP accepted manuscript. Cereb Cortex 2022; 32:4684-4697. [DOI: 10.1093/cercor/bhab510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 12/13/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
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10
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Blazquez Freches G, Haak KV, Beckmann CF, Mars RB. Connectivity gradients on tractography data: Pipeline and example applications. Hum Brain Mapp 2021; 42:5827-5845. [PMID: 34559432 PMCID: PMC8596970 DOI: 10.1002/hbm.25623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 07/03/2021] [Accepted: 07/30/2021] [Indexed: 11/08/2022] Open
Abstract
Gray matter connectivity can be described in terms of its topographical organization, but the differential role of white matter connections underlying that organization is often unknown. In this study, we propose a method for unveiling principles of organization of both gray and white matter based on white matter connectivity as assessed using diffusion magnetic ressonance imaging (MRI) tractography with spectral embedding gradient mapping. A key feature of the proposed approach is its capacity to project the individual connectivity gradients it reveals back onto its input data in the form of projection images, allowing one to assess the contributions of specific white matter tracts to the observed gradients. We demonstrate the ability of our proposed pipeline to identify connectivity gradients in prefrontal and occipital gray matter. Finally, leveraging the use of tractography, we demonstrate that it is possible to observe gradients within the white matter bundles themselves. Together, the proposed framework presents a generalized way to assess both the topographical organization of structural brain connectivity and the anatomical features driving it.
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Affiliation(s)
- Guilherme Blazquez Freches
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud UniversityNijmegenThe Netherlands
| | - Koen V. Haak
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Christian F. Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nufeld Department of Clinical NeurosciencesJohn Radclife Hospital, University of OxfordOxfordUK
| | - Rogier B. Mars
- Donders Institute for Brain, Cognition and Behaviour, Radboud UniversityNijmegenThe Netherlands
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11
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Partanen M, Kim DHC, Rauscher A, Siegel LS, Giaschi DE. White matter but not grey matter predicts change in reading skills after intervention. DYSLEXIA (CHICHESTER, ENGLAND) 2021; 27:224-244. [PMID: 32959479 DOI: 10.1002/dys.1668] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 04/28/2020] [Accepted: 09/04/2020] [Indexed: 06/11/2023]
Abstract
This study examined changes in white matter microstructure and grey matter volume, cortical thickness, and cortical surface area before and after reading intervention. Participants included 22 average readers and 13 dyslexic readers (8-9 years old in third grade); the dyslexic readers were enrolled in reading intervention programs at their elementary school. Participants completed scans of diffusion tensor imaging and T1-weighted MRI before and after 3 months of instruction. An a priori region of interest (ROI) analysis was used. Dyslexic readers, compared to average readers, showed higher mean diffusivity in white matter ROIs including bilateral inferior frontal, bilateral insula, left superior temporal, and right supramarginal gyri across time points. Dyslexic readers also had thicker cortex in left fusiform and bilateral supramarginal gyri; whereas, average readers had greater surface area in right fusiform across time. There were no significant changes in white or grey matter following intervention; however, mean diffusivity in the right hemisphere was associated with reading gains over time. White matter organization in the right hemisphere predicts reading changes, and dyslexic readers may have persistent differences in white and grey matter due to ongoing reading deficits.
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Affiliation(s)
- Marita Partanen
- Department of Educational & Counselling Psychology, and Special Education, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Danny H C Kim
- B.C. Children's Hospital MRI Research Facility, B.C. Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Alexander Rauscher
- Department of Pediatrics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Linda S Siegel
- Department of Educational & Counselling Psychology, and Special Education, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Deborah E Giaschi
- B.C. Children's Hospital MRI Research Facility, B.C. Children's Hospital Research Institute, Vancouver, British Columbia, Canada
- Department of Ophthalmology and Visual Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
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12
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Koo DL, Kim HR, Kim H, Seong JK, Joo EY. White matter tract-specific alterations in male patients with untreated obstructive sleep apnea are associated with worse cognitive function. Sleep 2021; 43:5680176. [PMID: 31848608 DOI: 10.1093/sleep/zsz247] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 08/21/2019] [Indexed: 01/13/2023] Open
Abstract
STUDY OBJECTIVES Neurocognitive impairment is one of the daytime symptoms of obstructive sleep apnea (OSA). We proposed to use tract-specific statistical analysis (TSSA) to investigate whether there are fiber tract abnormalities in OSA, which may be undiscovered using voxel-based approaches, and whether such tract-specific disruptions in brain connectivity are associated with neuropsychological deficits in patients with untreated OSA. METHODS We enrolled 38 patients with OSA diagnosed by overnight polysomnography, and 41 healthy sleepers. Fractional anisotropy (FA) and mean diffusivity (MD) maps were obtained from whole-brain diffusion tensor imaging, and TSSA were used to assess regional deficits of white matter tracts. All participants underwent a battery of neuropsychological tests. To evaluate the association between FA values and clinical, polysomnographic, and neuropsychological parameters in the OSA group, permutation-based tests for correlation were performed preceding cluster-based statistics. RESULTS Compared to healthy controls, patients with OSA showed decreased values of FA in the left and right anterior thalamic radiations, and right uncinate fasciculus (UNC) (p < 0.001, p = 0.005, and p = 0.008, respectively). A lower score of digit span backward was associated with lower FA values of right UNC in the OSA group (p = 0.023). The Rey Complex Figure Test copy score revealed a positive correlation with FA values in the right UNC (p = 0.010). CONCLUSIONS The TSSA method indeed identified previously unrevealed tract-specific disruptions in OSA. Furthermore, reduced FA values in the frontal lobe portion of the right UNC which has been known to be involved in working memory function were significantly associated with lower cognitive performance in patients with untreated OSA.
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Affiliation(s)
- Dae Lim Koo
- Department of Neurology, Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Hye Ryun Kim
- Global Health Technology Research Center, College of Health Science, Korea University, Seoul, South Korea
| | - Hosung Kim
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Joon-Kyung Seong
- Global Health Technology Research Center, College of Health Science, Korea University, Seoul, South Korea.,School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Eun Yeon Joo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Seoul, South Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
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13
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Andrews DS, Lee JK, Harvey DJ, Waizbard-Bartov E, Solomon M, Rogers SJ, Nordahl CW, Amaral DG. A Longitudinal Study of White Matter Development in Relation to Changes in Autism Severity Across Early Childhood. Biol Psychiatry 2021; 89:424-432. [PMID: 33349451 PMCID: PMC7867569 DOI: 10.1016/j.biopsych.2020.10.013] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 10/21/2020] [Accepted: 10/21/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Cross-sectional diffusion-weighted magnetic resonance imaging studies suggest that young autistic children have alterations in white matter structure that differ from older autistic individuals. However, it is unclear whether these differences result from atypical neurodevelopment or sampling differences between young and older cohorts. Furthermore, the relationship between altered white matter development and longitudinal changes in autism symptoms is unknown. METHODS Using longitudinal diffusion-weighted magnetic resonance imaging acquired over 2 to 3 time points between the ages of approximately 2.5 to 7.0 years in 125 autistic children and 69 typically developing control participants, we directly tested the hypothesis that autistic individuals have atypical white matter development across childhood. Additionally, we sought to determine whether changes in white matter diffusion parameters were associated with longitudinal changes in autism severity. RESULTS Autistic children were found to have slower development of fractional anisotropy in the cingulum bundle, superior longitudinal fasciculus, internal capsule, and splenium of the corpus callosum. Furthermore, in the sagittal stratum, autistic individuals who increased in autism severity over time had a slower developmental trajectory of fractional anisotropy compared with individuals whose autism decreased in severity. In the uncinate fasciculus, autistic individuals who decreased in autism symptom severity also had greater increases in fractional anisotropy with age. CONCLUSIONS These longitudinal findings indicate that previously reported differences in diffusion-weighted magnetic resonance imaging measures between younger and older autism cohorts are attributable to an atypical developmental trajectory of white matter. Differences in white matter development between individuals whose autism severity increased, remained stable, or decreased suggest that these functional differences are associated with fiber development in the autistic brain.
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Affiliation(s)
- Derek Sayre Andrews
- Medical Investigation of Neurodevelopmental Disorders Institute and Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California.
| | - Joshua K Lee
- Medical Investigation of Neurodevelopmental Disorders Institute and Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California
| | - Danielle Jenine Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, California
| | - Einat Waizbard-Bartov
- Medical Investigation of Neurodevelopmental Disorders Institute and Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California
| | - Marjorie Solomon
- Medical Investigation of Neurodevelopmental Disorders Institute and Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California
| | - Sally J Rogers
- Medical Investigation of Neurodevelopmental Disorders Institute and Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California
| | - Christine Wu Nordahl
- Medical Investigation of Neurodevelopmental Disorders Institute and Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California
| | - David G Amaral
- Medical Investigation of Neurodevelopmental Disorders Institute and Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California
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14
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Integrity of the uncinate fasciculus is associated with the onset of bipolar disorder: a 6-year followed-up study. Transl Psychiatry 2021; 11:111. [PMID: 33547277 PMCID: PMC7864939 DOI: 10.1038/s41398-021-01222-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 01/05/2021] [Accepted: 01/13/2021] [Indexed: 12/25/2022] Open
Abstract
Patients with Bipolar Disorder (BD) are associated with aberrant uncinate fasciculus (UF) that connects amygdala-ventral prefrontal cortex (vPFC) system, but the casual relationship is still uncertain. The research aimed to investigate the integrity of UF among offspring of patients with BD and investigate its potential causal association with subsequent declaration of BD. The fractional anisotropy (FA) and mean diffusivity (MD) of UF were compared in asymptomatic offspring (AO, n = 46) and symptomatic offspring (SO, n = 45) with a parent with BD, and age-matched healthy controls (HCs, n = 35). Logistic regressions were performed to assess the predictive effect of UF integrity on the onset of BD. The three groups did not differ at baseline in terms of FA and MD of the UF. Nine out of 45 SO developed BD over a follow-up period of 6 years, and the right UF FA predicted the onset of BD (p = 0.038, OR = 0.212, 95% CI = 0.049-0.917). The ROC curve revealed that the right UF FA predicted BD onset (area-under-curve = 0.859) with sensitivity of 88.9% and specificity of 77.3%. The complementary whole-brain tract-based spatial statistics (TBSS) showed that widespread increases of FA were found in the SO group compared with HCs, but were not associated with the onset of BD. Our data provide evidence supporting the causal relationship between the white matter structural integrity of the amygdala-vPFC system and the onset of BD in genetically at-risk offspring of BD patients.
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15
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Huang L, Chen X, Sun W, Chen H, Ye Q, Yang D, Li M, Luo C, Ma J, Shao P, Xu H, Zhang B, Zhu X, Xu Y. Early Segmental White Matter Fascicle Microstructural Damage Predicts the Corresponding Cognitive Domain Impairment in Cerebral Small Vessel Disease Patients by Automated Fiber Quantification. Front Aging Neurosci 2021; 12:598242. [PMID: 33505302 PMCID: PMC7829360 DOI: 10.3389/fnagi.2020.598242] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/07/2020] [Indexed: 11/13/2022] Open
Abstract
Objective: To characterize earlier damage pattern of white matter (WM) microstructure in cerebral small vessel disease (CSVD) and its relationship with cognitive domain dysfunction. Methods: A total of 144 CSVD patients and 100 healthy controls who underwent neuropsychological measurements and diffusion tensor imaging (DTI) examination were recruited. Cognitive function, emotion, and gait were assessed in each participant. The automated fiber quantification (AFQ) technique was used to extract different fiber properties between groups, and partial correlation and general linear regression analyses were performed to assess the relationship between position-specific WM microstructure and cognitive function. Results: Specific segments in the association fibers, commissural WM regions of interest (ROIs), and projection fibers were damaged in the CSVD group [P < 0.05, family-wise error (FWE) correction], and these damaged segments showed interhemispheric symmetry. In addition, the damage to specific tract profiles [including the posteromedial component of the right cingulum cingulate (CC), the occipital lobe portion of the callosum forceps major, the posterior portion of the left superior longitudinal fasciculus (SLF), and the bilateral anterior thalamic radiation (ATR)] was related to the dysfunction in specific cognitive domains. Among these tracts, we found the ATR to be the key set of tracts whose profiles were most associated with cognitive dysfunction. The left ATR was a specific fiber bundle associated with episode memory and language function, whereas the fractional anisotropy (FA) values of the intermediate component of the right ATR were negatively correlated with executive function and gait evaluation. It should be noted that the abovementioned relationships could not survive the Bonferroni correction (p < 0.05/27), so we chose more liberal uncorrected statistical thresholds. Conclusions: Damage to the WM fiber bundles showed extensive interhemispheric symmetry and was limited to particular segments in CSVD patients. Disruption of strategically located fibers was associated with different cognitive deficits, especially the bilateral ATR.
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Affiliation(s)
- Lili Huang
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Xin Chen
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Wenshan Sun
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Haifeng Chen
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Qing Ye
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Dan Yang
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Mengchun Li
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Caimei Luo
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Junyi Ma
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Pengfei Shao
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Hengheng Xu
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Xiaolei Zhu
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Drum Tower Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neurological Medical Center, Nanjing, China
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16
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Kimpton JA, Batalle D, Barnett ML, Hughes EJ, Chew ATM, Falconer S, Tournier JD, Alexander D, Zhang H, Edwards AD, Counsell SJ. Diffusion magnetic resonance imaging assessment of regional white matter maturation in preterm neonates. Neuroradiology 2020; 63:573-583. [PMID: 33123752 PMCID: PMC7966229 DOI: 10.1007/s00234-020-02584-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 10/13/2020] [Indexed: 02/03/2023]
Abstract
Purpose Diffusion magnetic resonance imaging (dMRI) studies report altered white matter (WM) development in preterm infants. Neurite orientation dispersion and density imaging (NODDI) metrics provide more realistic estimations of neurite architecture in vivo compared with standard diffusion tensor imaging (DTI) metrics. This study investigated microstructural maturation of WM in preterm neonates scanned between 25 and 45 weeks postmenstrual age (PMA) with normal neurodevelopmental outcomes at 2 years using DTI and NODDI metrics. Methods Thirty-one neonates (n = 17 male) with median (range) gestational age (GA) 32+1 weeks (24+2–36+4) underwent 3 T brain MRI at median (range) post menstrual age (PMA) 35+2 weeks (25+3–43+1). WM tracts (cingulum, fornix, corticospinal tract (CST), inferior longitudinal fasciculus (ILF), optic radiations) were delineated using constrained spherical deconvolution and probabilistic tractography in MRtrix3. DTI and NODDI metrics were extracted for the whole tract and cross-sections along each tract to assess regional development. Results PMA at scan positively correlated with fractional anisotropy (FA) in the CST, fornix and optic radiations and neurite density index (NDI) in the cingulum, CST and fornix and negatively correlated with mean diffusivity (MD) in all tracts. A multilinear regression model demonstrated PMA at scan influenced all diffusion measures, GA and GAxPMA at scan influenced FA, MD and NDI and gender affected NDI. Cross-sectional analyses revealed asynchronous WM maturation within and between WM tracts.). Conclusion We describe normal WM maturation in preterm neonates with normal neurodevelopmental outcomes. NODDI can enhance our understanding of WM maturation compared with standard DTI metrics alone. Supplementary Information The online version of this article (10.1007/s00234-020-02584-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- J A Kimpton
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - D Batalle
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.,Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M L Barnett
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - E J Hughes
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - A T M Chew
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - S Falconer
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - J D Tournier
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - D Alexander
- Department of Computer Science and Centre for Medical Imaging Computing, University College London, London, UK
| | - H Zhang
- Department of Computer Science and Centre for Medical Imaging Computing, University College London, London, UK
| | - A D Edwards
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
| | - S J Counsell
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
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17
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Chen H, Sheng X, Qin R, Luo C, Li M, Liu R, Zhang B, Xu Y, Zhao H, Bai F. Aberrant White Matter Microstructure as a Potential Diagnostic Marker in Alzheimer's Disease by Automated Fiber Quantification. Front Neurosci 2020; 14:570123. [PMID: 33071742 PMCID: PMC7541946 DOI: 10.3389/fnins.2020.570123] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 08/19/2020] [Indexed: 12/22/2022] Open
Abstract
Neuroimaging evidence has suggested white matter microstructure are heavily affected in Alzheimer's disease (AD). However, whether white matter dysfunction is localized at the specific regions of fiber tracts and whether they would be a potential biomarker for AD remain unclear. By automated fiber quantification (AFQ), we applied diffusion tensor images from 25 healthy controls (HC), 24 amnestic mild cognitive impairment (aMCI) patients and 18 AD patients to create tract profiles along 16 major white matter fibers. We compared diffusion metrics [Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (DA), and radial diffusivity (DR)] between groups. To assess the diagnostic value, we applied a random forest (RF) classifier, a type of machine learning method. In the global tract level, we found that aMCI and AD patients showed higher MD, DA, and DR values in some fiber tracts mostly in the left hemisphere compared to HC. In the point-wise level, widespread disruption were distributed on specific locations of different tracts. The point-wise MD measurements presented the best classification performance with respect to differentiating AD from HC. The two most important variables were localized in the prefrontal potion of left uncinate fasciculus and anterior thalamic radiation. In addition, the point-wise DA in the posterior component of the left cingulum cingulate displayed the most robust discriminative ability to identify AD from aMCI. Our findings provide evidence that white matter abnormalities based on the AFQ method could be as a diagnostic biomarker in AD.
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Affiliation(s)
- Haifeng Chen
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Xiaoning Sheng
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Ruomeng Qin
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Caimei Luo
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Mengchun Li
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Renyuan Liu
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yun Xu
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Hui Zhao
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Feng Bai
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
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18
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Gozdas E, Fingerhut H, Chromik LC, O'Hara R, Reiss AL, Hosseini SMH. Focal white matter disruptions along the cingulum tract explain cognitive decline in amnestic mild cognitive impairment (aMCI). Sci Rep 2020; 10:10213. [PMID: 32576866 PMCID: PMC7311416 DOI: 10.1038/s41598-020-66796-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 05/27/2020] [Indexed: 12/11/2022] Open
Abstract
White matter abnormalities of the human brain are implicated in typical aging and neurodegenerative diseases. However, our understanding of how fine-grained changes in microstructural properties along white matter tracts are associated with memory and cognitive decline in normal aging and mild cognitive impairment remains elusive. We quantified tract profiles with a newer method that can reliably measure fine-grained changes in white matter properties along the tracts using advanced multi-shell diffusion magnetic resonance imaging in 25 patients with amnestic mild cognitive impairment (aMCI) and 23 matched healthy controls (HC). While the changes in tract profiles were parallel across aMCI and HC, we found a significant focal shift in the profile at specific locations along major tracts sub-serving memory in aMCI. Particularly, our findings depict white matter alterations at specific locations on the right cingulum cingulate, the right cingulum hippocampus and anterior corpus callosum (CC) in aMCI compared to HC. Notably, focal changes in white matter tract properties along the cingulum tract predicted memory and cognitive functioning in aMCI. The results suggest that white matter disruptions at specific locations of the cingulum bundle may be a hallmark for the early prediction of Alzheimer’s disease and a predictor of cognitive decline in aMCI.
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Affiliation(s)
- Elveda Gozdas
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Hannah Fingerhut
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Lindsay C Chromik
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Ruth O'Hara
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Allan L Reiss
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - S M Hadi Hosseini
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
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19
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Cai W, Zhao M, Liu J, Liu B, Yu D, Yuan K. Right arcuate fasciculus and superior longitudinal fasciculus abnormalities in primary insomnia. Brain Imaging Behav 2020; 13:1746-1755. [PMID: 31327125 DOI: 10.1007/s11682-019-00160-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Primary insomnia (PI) is a very common phenomenon and associated with functional impairments of attention, memory and mood regulation. However, its neurobiology is poorly understood. To date, the studies about integrity of white matter (WM) tracts in PI patients have been still rare. In the present study, we used Automated Fiber Quantification (AFQ), which reliably and efficiently quantified diffusion measurements at multiple locations along the WM trajectory based on diffusion tensor imaging (DTI), to assess WM diffusion properties differences between 23 PI patients and 32 matched healthy controls in 18 tracts. The relationships between neuroimaging differences and sleep behaviors were explored, including Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index Scale (ISI). Compared with healthy control group, right arcuate fasciculus (Arc) and superior longitudinal fasciculus (SLF) showed significant higher fractional anisotropy (FA), mean diffusivity (MD) and radial diffusivity (RD) along tract length in PI patients (FWE corrected, p < 0.01). Axial diffusivity (AD) for PI patients was higher in right Arc and lower in right SLF. Correlation analyses revealed that FA of right Arc and MD of right SLF were negatively correlated with PSQI score in PI patients, and AD of right Arc and FA of right SLF were positively correlated with PSQI score. Negative correlation was observed between FA of right Arc and AD of right SLF and ISI score in PI patients. Our findings can help us to improve the understanding of the neural mechanisms of primary insomnia at abnormalities in WM microstructure.
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Affiliation(s)
- Wanye Cai
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Meng Zhao
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Jingjing Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Bo Liu
- Department of Neurology, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, 710071, People's Republic of China. .,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China. .,Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
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Association between diffusivity measures and language and cognitive-control abilities from early toddler’s age to childhood. Brain Struct Funct 2020; 225:1103-1122. [DOI: 10.1007/s00429-020-02062-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 03/20/2020] [Indexed: 12/20/2022]
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21
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Bu X, Yang C, Liang K, Lin Q, Lu L, Zhang L, Li H, Gao Y, Tang S, Hu X, Wang Y, Hu X, Wang M, Huang X. Quantitative tractography reveals changes in the corticospinal tract in drug-naïve children with attention-deficit/hyperactivity disorder. J Psychiatry Neurosci 2020; 45:134-141. [PMID: 31765114 PMCID: PMC7828908 DOI: 10.1503/jpn.190024] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The specific role of the corticospinal tract with respect to inattention and impulsive symptoms in children with attention-deficit/hyperactivity disorder (ADHD) has been explored in the past. However, to our knowledge, no study has identified the exact regions of the corticospinal tract that are affected in ADHD. We aimed to determine comprehensive alterations in the white matter microstructure of the corticospinal tract and underlying neuropsychological substrates in ADHD. METHODS We recruited 38 drug-naïve children with ADHD and 34 typically developing controls. We employed a tract-based quantitative approach to measure diffusion parameters along the trajectory of the corticospinal tract, and we further correlated alterations with attention and response inhibition measures. RESULTS Compared with controls, children with ADHD demonstrated significantly lower fractional anisotropy and higher radial diffusivity at the level of cerebral peduncle, and higher fractional anisotropy at the level of the posterior limb of the internal capsule in the right corticospinal tract only. As well, increased fractional anisotropy in the posterior limb of the internal capsule was negatively correlated with continuous performance test attention quotients and positively correlated with reaction time on the Stroop Colour–Word Test; increased radial diffusivity in the right peduncle region was positively correlated with omissions in the Stroop test. LIMITATIONS The sample size was relatively small. Moreover, we did not consider the different subtypes of ADHD and lacked sufficient power to analyze subgroup differences. Higher-order diffusion modelling is needed in future white matter studies. CONCLUSION We demonstrated specific changes in the right corticospinal tract in children with ADHD. Correlations with measures of attention and response inhibition underscored the functional importance of corticospinal tract disturbance in ADHD.
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Affiliation(s)
- Xuan Bu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Chuang Yang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Kaili Liang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Qingxia Lin
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Lu Lu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Lianqing Zhang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Hailong Li
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Yingxue Gao
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Shi Tang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xiaoxiao Hu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Yanlin Wang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xinyu Hu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Meihao Wang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
| | - Xiaoqi Huang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, Sichuan University West China Hospital, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China (Bu, Liang, Lu, Zhang, Li, Gao, Tang, Hu, Wang, Hu, Huang); the Department of Psychiatry, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Yang, Lin); and the Department of Radiology, Wenzhou Medical University First Affiliated Hospital, Nan Bai Xiang, Wenzhou, Zhejiang 325003, China (Wang)
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22
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Lynch KM, Cabeen RP, Toga AW, Clark KA. Magnitude and timing of major white matter tract maturation from infancy through adolescence with NODDI. Neuroimage 2020; 212:116672. [PMID: 32092432 PMCID: PMC7224237 DOI: 10.1016/j.neuroimage.2020.116672] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 01/19/2020] [Accepted: 02/18/2020] [Indexed: 01/11/2023] Open
Abstract
White matter maturation is a nonlinear and heterogeneous phenomenon characterized by axonal packing, increased axon caliber, and a prolonged period of myelination. While current in vivo diffusion MRI (dMRI) methods, like diffusion tensor imaging (DTI), have successfully characterized the gross structure of major white matter tracts, these measures lack the specificity required to unravel the distinct processes that contribute to microstructural development. Neurite orientation dispersion and density imaging (NODDI) is a dMRI approach that probes tissue compartments and provides biologically meaningful measures that quantify neurite density index (NDI) and orientation dispersion index (ODI). The purpose of this study was to characterize the magnitude and timing of major white matter tract maturation with NODDI from infancy through adolescence in a cross-sectional cohort of 104 subjects (0.6–18.8 years). To probe the regional nature of white matter development, we use an along-tract approach that partitions tracts to enable more fine-grained analysis. Major white matter tracts showed exponential age-related changes in NDI with distinct maturational patterns. Overall, analyses revealed callosal fibers developed before association fibers. Our along-tract analyses elucidate spatially varying patterns of maturation with NDI that are distinct from those obtained with DTI. ODI was not significantly associated with age in the majority of tracts. Our results support the conclusion that white matter tract maturation is heterochronous process and, furthermore, we demonstrate regional variability in the developmental timing within major white matter tracts. Together, these results help to disentangle the distinct processes that contribute to and more specifically define the time course of white matter maturation.
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Affiliation(s)
- Kirsten M Lynch
- Laboratory of Neuro Imaging (LONI), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Ryan P Cabeen
- Laboratory of Neuro Imaging (LONI), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging (LONI), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kristi A Clark
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Maternal reading and fluency abilities are associated with diffusion properties of ventral and dorsal white matter tracts in their preschool-age children. Brain Cogn 2020; 140:105532. [PMID: 32007789 DOI: 10.1016/j.bandc.2020.105532] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 01/21/2020] [Accepted: 01/23/2020] [Indexed: 11/22/2022]
Abstract
Early language exposure and shared parent-child reading, as assessed by maternal reading ability and fluency, affect the child's future language and cognitive abilities. The aim of the current study was to explore the association between maternal reading ability and fluency and diffusion properties of language- and cognition-related white matter tracts in their pre-school age children using diffusion tensor imaging (DTI). DTI data were acquired from fifteen girls (mean age: 3.83 ± 0.49 years). Reading ability and fluency were assessed in their mothers. Effects of hemisphere and node on diffusion properties were measured at 100 points along white matter tracts related to language and cognitive abilities. Significant positive correlations were found between maternal reading ability and fractional anisotropy in left and right dorsal and ventral language and executive functions-related tracts, while maternal reading fluency was associated with higher fractional anisotropy in ventral tracts, mainly in the left hemisphere. Fractional Anisotropy was significantly higher in the left compared to the right arcuate, cingulum cingulate, and inferior longitudinal fasciculus and higher in the right compared to the left superior longitudinal fasciculus. Our results signify the importance of maternal reading as a facilitator of the child's future language and cognitive abilities.
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Angelopoulou G, Meier EL, Kasselimis D, Pan Y, Tsolakopoulos D, Velonakis G, Karavasilis E, Kelekis NL, Goutsos D, Potagas C, Kiran S. Investigating Gray and White Matter Structural Substrates of Sex Differences in the Narrative Abilities of Healthy Adults. Front Neurosci 2020; 13:1424. [PMID: 32063823 PMCID: PMC7000661 DOI: 10.3389/fnins.2019.01424] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 12/16/2019] [Indexed: 12/12/2022] Open
Abstract
Linguistic aspects of narration have been investigated in healthy populations, in a wide variety of languages and speech genres with very different results. There is some evidence indicating that linguistic elements, such as speech rate (i.e., the measure indicating the amount of speech produced in a certain time period), mean length of utterance (MLU) (i.e., the index reflecting sentence grammatical structure), frequency of nouns and verbs, might be affected by non-linguistic factors such as sex. On the other hand, despite the existence of neuroimaging evidence of structural differences between males and females, it is yet unknown how such differences could explain between-sex disparities in linguistic abilities in natural speech contexts. To date, no study has evaluated discourse production elements in relation to sex differences and their neural correlates in terms of brain structure, a topic that could provide unique insights on the relationship between language and the brain. The aim of the present study was to determine sex differences in narrative skills in healthy adults and to investigate white and gray matter structural correlates of linguistic skills in each group. Twenty-seven male and 30 female (N = 57) right-handed, neurologically intact, monolingual Greek speakers, matched for age and years of education, participated. Narrations of a personal medical event were elicited. Linguistic elements of speech rate (words per minute), MLUs, frequency of nouns and verbs were calculated for each speech sample, by two independent raters. Structural 3D T1 images were segmented and parcellated using FreeSurfer and whole-brain between-sex differences in cortical thickness, cortical volume and surface area, were obtained. Between-group differences in white matter diffusion tensor scalars were examined via Tract-Based Spatial-Statistics and whole-brain tractography and automated tract delineation using Automated Fiber Quantification. Speech rate and noun frequency were significantly lower for men, while verb frequency was significantly higher for women, but no differences were identified for MLU. Regarding cortical measures, males demonstrated increased volume, surface area and cortical thickness in several bilateral regions, while no voxel-wise or tractography-based between-group differences in white matter metrics were observed. Regarding the relationship between sex and speech variables, hierarchical regression analyses showed that the superior/middle frontal cluster in surface area may serve as a significant predictor of speech rate variance, but only in females. We discuss several possible interpretations of how sex-related speech abilities could be represented differently in men and women in gray matter structures within the broad language network.
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Affiliation(s)
- Georgia Angelopoulou
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Erin L. Meier
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Dimitrios Kasselimis
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Division of Psychiatry and Behavioral Sciences, School of Medicine, University of Crete, Heraklion, Greece
| | - Yue Pan
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Dimitrios Tsolakopoulos
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - George Velonakis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstratios Karavasilis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos L. Kelekis
- 2nd Department of Radiology, General University Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dionysios Goutsos
- Department of Linguistics, School of Philosophy, National and Kapodistrian University of Athens, Athens, Greece
| | - Constantin Potagas
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Swathi Kiran
- Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, United States
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Chen HF, Huang LL, Li HY, Qian Y, Yang D, Qing Z, Luo CM, Li MC, Zhang B, Xu Y. Microstructural disruption of the right inferior fronto-occipital and inferior longitudinal fasciculus contributes to WMH-related cognitive impairment. CNS Neurosci Ther 2020; 26:576-588. [PMID: 31901155 PMCID: PMC7163793 DOI: 10.1111/cns.13283] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 12/07/2019] [Accepted: 12/12/2019] [Indexed: 01/03/2023] Open
Abstract
Aims White matter hyperintensity (WMH) is the most common neuroimaging manifestation of cerebral small vessel disease and is related to cognitive dysfunction or dementia. This study aimed to investigate the mechanism and effective indicators to predict WMH‐related cognitive impairment. Methods We recruited 22 healthy controls (HC), 25 cases of WMH with normal cognition (WMH‐NC), and 23 cases of WMH with mild cognitive impairment (WMH‐MCI). All individuals underwent diffusion tensor imaging (DTI) and a standardized neuropsychological assessment. Automated Fiber Quantification was used to extract altered DTI metrics between groups, and partial correlation was performed to assess the associations between WM integrity and cognitive performance. Furthermore, machine learning analyses were performed to determine underlying imaging markers of WMH‐related cognitive impairment. Results Our study found that mean diffusivity (MD) values of several fiber bundles including the bilateral anterior thalamic radiation (ATR), the left inferior fronto‐occipital fasciculus (IFOF), the right inferior longitudinal fasciculus (ILF), and the right superior longitudinal fasciculus (SLF) were negatively correlated with memory function, while that of the anterior component of the right IFOF and the posterior and intermediate component of the right ILF showed significant negative correlation with MMSE and episodic memory, respectively. Furthermore, machine learning analyses showed that the accuracy of recognizing WMH‐MCI patients from the WMH populations was up to 80.5% and the intermediate and posterior components of the right ILF and the anterior component of the right IFOF contribute the most. Conclusions Changes in the properties of DTI may be the potential mechanism of WMH‐related MCI, especially the right IFOF and the right ILF, which may become imaging markers for predicting WMH‐related cognitive dysfunction.
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Affiliation(s)
- Hai-Feng Chen
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
| | - Li-Li Huang
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
| | - Hui-Ya Li
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
| | - Yi Qian
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
| | - Dan Yang
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
| | - Zhao Qing
- Department of Radiology, Afliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Cai-Mei Luo
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
| | - Meng-Chun Li
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Afliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yun Xu
- Department of Neurology, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Drum Tower Hospital, Nanjing University, Nanjing, China.,Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Clinic Medical Center for Neurology, Nanjing, China
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Andrews DS, Lee JK, Solomon M, Rogers SJ, Amaral DG, Nordahl CW. A diffusion-weighted imaging tract-based spatial statistics study of autism spectrum disorder in preschool-aged children. J Neurodev Disord 2019; 11:32. [PMID: 31839001 PMCID: PMC6913008 DOI: 10.1186/s11689-019-9291-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 11/11/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The core symptoms of autism spectrum disorder (ASD) are widely theorized to result from altered brain connectivity. Diffusion-weighted magnetic resonance imaging (DWI) has been a versatile method for investigating underlying microstructural properties of white matter (WM) in ASD. Despite phenotypic and etiological heterogeneity, DWI studies in majority male samples of older children, adolescents, and adults with ASD have largely reported findings of decreased fractional anisotropy (FA) across several commissural, projection, and association fiber tracts. However, studies in preschool-aged children (i.e., < 30-40 months) suggest individuals with ASD have increased measures of WM FA earlier in development. METHODS We analyzed 127 individuals with ASD (85♂, 42♀) and 54 typically developing (TD) controls (42♂, 26♀), aged 25.1-49.6 months. Voxel-wise effects of ASD diagnosis, sex, age, and their interaction on DWI measures of FA, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were investigated using tract-based spatial statistics (TBSS) while controlling mean absolute and relative motion. RESULTS Compared to TD controls, males and females with ASD had significantly increased measures of FA in eight clusters (threshold-free cluster enhancement p < 0.05) that incorporated several WM tracts including regions of the genu, body, and splenium of the corpus callosum, inferior frontal-occipital fasciculi, inferior and superior longitudinal fasciculi, middle and superior cerebellar peduncles, and corticospinal tract. A diagnosis by sex interaction was observed in measures of AD across six significant clusters incorporating areas of the body, genu, and splenium of the corpus collosum. In these tracts, females with ASD showed increased AD compared to TD females, while males with ASD showed decreased AD compared to TD males. CONCLUSIONS The current findings support growing evidence that preschool-aged children with ASD have atypical measures of WM microstructure that appear to differ in directionality from alterations observed in older individuals with the condition. To our knowledge, this study represents the largest sample of preschool-aged females with ASD to be evaluated using DWI. Microstructural differences associated with ASD largely overlapped between sexes. However, differential relationships of AD measures indicate that sex likely modulates ASD neuroanatomical phenotypes. Further longitudinal study is needed to confirm and quantify the developmental relationship of WM structure in ASD.
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Affiliation(s)
- Derek Sayre Andrews
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA USA
| | - Joshua K. Lee
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA USA
| | - Marjorie Solomon
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA USA
| | - Sally J. Rogers
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA USA
| | - David G. Amaral
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA USA
| | - Christine Wu Nordahl
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA USA
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Linking the impact of aging on visual short-term memory capacity with changes in the structural connectivity of posterior thalamus to occipital cortices. Neuroimage 2019; 208:116440. [PMID: 31841682 DOI: 10.1016/j.neuroimage.2019.116440] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 11/25/2019] [Accepted: 12/03/2019] [Indexed: 12/31/2022] Open
Abstract
Aging impacts both visual short-term memory (vSTM) capacity and thalamo-cortical connectivity. According to the Neural Theory of Visual Attention, vSTM depends on the structural connectivity between posterior thalamus and visual occipital cortices (PT-OC). We tested whether aging modifies the association between vSTM capacity and PT-OC structural connectivity. To do so, 66 individuals aged 20-77 years were assessed by diffusion-weighted imaging used for probabilistic tractography and performed a psychophysical whole-report task of briefly presented letter arrays, from which vSTM capacity estimates were derived. We found reduced vSTM capacity, and aberrant PT-OC connection probability in aging. Critically, age modified the relationship between vSTM capacity and PT-OC connection probability: in younger adults, vSTM capacity was negatively correlated with PT-OC connection probability while in older adults, this association was positive. Furthermore, age modified the microstructure of PT-OC tracts suggesting that the inversion of the association between PT-OC connection probability and vSTM capacity with aging might reflect age-related changes in white-matter properties. Accordingly, our results demonstrate that age-related differences in vSTM capacity links with the microstructure and connectivity of PT-OC tracts.
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Kreilkamp BAK, Lisanti L, Glenn GR, Wieshmann UC, Das K, Marson AG, Keller SS. Comparison of manual and automated fiber quantification tractography in patients with temporal lobe epilepsy. NEUROIMAGE-CLINICAL 2019; 24:102024. [PMID: 31670154 PMCID: PMC6831895 DOI: 10.1016/j.nicl.2019.102024] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/05/2019] [Accepted: 09/27/2019] [Indexed: 11/25/2022]
Abstract
Tractography approaches showed moderate to good agreement for tract morphology. Along- and whole-tract diffusivity was significantly correlated across approaches. Whole-tract AFQ but not manual tract diffusivity correlated with clinical variables. Absence of excellent agreement between approaches warrants caution.
Objective To investigate the agreement between manually and automatically generated tracts from diffusion tensor imaging (DTI) in patients with temporal lobe epilepsy (TLE). Whole and along-the-tract diffusivity metrics and correlations with patient clinical characteristics were analyzed with respect to tractography approach. Methods We recruited 40 healthy controls and 24 patients with TLE who underwent conventional T1-weighted imaging and 60-direction DTI. An automated (Automated Fiber Quantification, AFQ) and manual (TrackVis) deterministic tractography approach was used to identify the uncinate fasciculus (UF) and parahippocampal white matter bundle (PHWM). Tract diffusion scalar metrics were analyzed with respect to agreement across automated and manual approaches (Dice Coefficient and Spearman correlations), to side of onset of epilepsy and patient clinical characteristics, including duration of epilepsy, age of onset and presence of hippocampal sclerosis. Results Across approaches the analysis of tract morphology similarity revealed Dice coefficients at moderate to good agreement (0.54 - 0.6) and significant correlations between diffusion values (Spearman's Rho=0.4–0.9). However, within bilateral PHWM, AFQ yielded significantly lower FA (left: Z = 4.4, p<0.001; right: Z = 5.1, p<0.001) and higher MD values (left: Z=-4.7, p<0.001; right: Z=-3.7, p<0.001) compared to the manual approach. Whole tract DTI metrics determined using AFQ were significantly correlated with patient characteristics, including age of epilepsy onset in FA (R = 0.6, p = 0.02) and MD of the ipsilateral PHWM (R=-0.6, p = 0.02), while duration of epilepsy corrected for age correlated with MD in ipsilateral PHWM (R = 0.7, p<0.01). Correlations between clinical metrics and diffusion values extracted using the manual whole tract technique did not survive correction for multiple comparisons. Both manual and automated along-the-tract analyses demonstrated significant correlations with patient clinical characteristics such as age of onset and epilepsy duration. The strongest and most widespread localized ipsi- and contralateral diffusivity alterations were observed in patients with left TLE and patients with HS compared to controls, while patients with right TLE and patients without HS did not show these strong effects. Conclusions Manual and AFQ tractography approaches revealed significant correlations in the reconstruction of tract morphology and extracted whole and along-tract diffusivity values. However, as non-identical methods they differed in the respective yield of significant results across clinical correlations and group-wise statistics. Given the absence of excellent agreement between manual and AFQ techniques as demonstrated in the present study, caution should be considered when using AFQ particularly when used without reference to benchmark manual measures.
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Affiliation(s)
- Barbara A K Kreilkamp
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom; Department of Neurology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
| | - Lucy Lisanti
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom; Royal Society, London, United Kingdom
| | - G Russell Glenn
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States
| | - Udo C Wieshmann
- Department of Neurology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - Kumar Das
- Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - Anthony G Marson
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom; Department of Neurology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - Simon S Keller
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom; Department of Neurology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom
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Fan X, Duan Y, Cheng S, Zhang Y, Cheng H. Fast density-peaks clustering for registration-free pediatric white matter tract analysis. Artif Intell Med 2019; 96:1-11. [PMID: 31164202 DOI: 10.1016/j.artmed.2019.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 02/27/2019] [Accepted: 03/01/2019] [Indexed: 11/25/2022]
Abstract
Clustering white matter (WM) tracts from diffusion tensor imaging (DTI) is primarily important for quantitative analysis on pediatric brain development. A recently developed algorithm, density peaks (DP) clustering, demonstrates great robustness to the complex structural variations of WM tracts without any prior templates. Nevertheless, the calculation of densities, the core step of DP, is time consuming especially when the number of WM fibers is huge. In this paper, we propose a fast algorithm that accelerates the density computation about 50 times over the original one. We convert the global calculation for the density as well as critical parameter in the process into local computations, and develop a binary tree structure to orderly store the neighbors for these local computations. Hence, the density computation turns out to be a direct access of the structure, rendering significantly computational saving. Performing experiments on synthetic point data and the JHU-DTI data set and comparing results of our fast DP algorithm and existing clustering methods, we can validate the efficiency and effectiveness of our fast DP algorithm. Finally, we demonstrate the application of the proposed algorithm on the analysis of pediatric WM tract development.
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Affiliation(s)
- Xin Fan
- DUT-RU International School of Information Science and Technology, Dalian University of Technology, Dalian, China; Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China
| | - Yuzhuo Duan
- DUT-RU International School of Information Science and Technology, Dalian University of Technology, Dalian, China; Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China
| | - Shichao Cheng
- Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China; School of Mathematical Science, Dalian University of Technology, Dalian, China
| | - Yuxi Zhang
- DUT-RU International School of Information Science and Technology, Dalian University of Technology, Dalian, China; Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China
| | - Hua Cheng
- Department of Radiology, Beijing Children's Hospital, Captital Medical University, National Center for Children's Health, China.
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Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time. J Neurosci 2019; 39:5910-5921. [PMID: 31123103 PMCID: PMC6650993 DOI: 10.1523/jneurosci.2954-18.2019] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 04/25/2019] [Accepted: 04/26/2019] [Indexed: 12/11/2022] Open
Abstract
The speed of motor reaction to an external stimulus varies substantially between individuals and is slowed in aging. However, the neuroanatomical origins of interindividual variability in reaction time (RT) remain unclear. Here, we combined a cognitive model of RT and a biophysical compartment model of diffusion-weighted MRI (DWI) to characterize the relationship between RT and microstructure of the corticospinal tract (CST) and the optic radiation (OR), the primary motor output and visual input pathways associated with visual-motor responses. We fitted an accumulator model of RT to 46 female human participants' behavioral performance in a simple reaction time task. The non-decision time parameter (T er) derived from the model was used to account for the latencies of stimulus encoding and action initiation. From multi-shell DWI data, we quantified tissue microstructure of the CST and OR with the neurite orientation dispersion and density imaging (NODDI) model as well as the conventional diffusion tensor imaging model. Using novel skeletonization and segmentation approaches, we showed that DWI-based microstructure metrics varied substantially along CST and OR. The T er of individual participants was negatively correlated with the NODDI measure of the neurite density in the bilateral superior CST. Further, we found no significant correlation between the microstructural measures and mean RT. Thus, our findings suggest a link between interindividual differences in sensorimotor speed and selective microstructural properties in white-matter tracts.SIGNIFICANCE STATEMENT How does our brain structure contribute to our speed to react? Here, we provided anatomically specific evidence that interindividual differences in response speed is associated with white-matter microstructure. Using a cognitive model of reaction time (RT), we estimated the non-decision time, as an index of the latencies of stimulus encoding and action initiation, during a simple reaction time task. Using an advanced microstructural model for diffusion MRI, we estimated the tissue properties and their variations along the corticospinal tract and optic radiation. We found significant location-specific correlations between the microstructural measures and the model-derived parameter of non-decision time but not mean RT. These results highlight the neuroanatomical signature of interindividual variability in response speed along the sensorimotor pathways.
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van Veluw SJ, Reijmer YD, van der Kouwe AJ, Charidimou A, Riley GA, Leemans A, Bacskai BJ, Frosch MP, Viswanathan A, Greenberg SM. Histopathology of diffusion imaging abnormalities in cerebral amyloid angiopathy. Neurology 2019; 92:e933-e943. [PMID: 30700595 PMCID: PMC6404469 DOI: 10.1212/wnl.0000000000007005] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 10/23/2018] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE We sought to determine the underlying mechanism for altered white matter diffusion tensor imaging (DTI) measures at the histopathologic level in patients with cerebral amyloid angiopathy (CAA). METHODS Formalin-fixed intact hemispheres from 9 CAA cases and 2 elderly controls were scanned at 3-tesla MRI, including a diffusion-weighted sequence. DTI measures (i.e., fractional anisotropy [FA] and mean diffusivity [MD]) and histopathology measures were obtained from 2 tracts: the anterior thalamic radiation and inferior longitudinal fasciculus. RESULTS FA was reduced in both tracts and MD was increased in cases with CAA compared to controls. Regional FA was significantly correlated with tissue rarefaction, myelin density, axonal density, and white matter microinfarcts. MD correlated significantly with tissue rarefaction, myelin density, and white matter microinfarcts, but not axonal density. FA and MD did not correlate with oligodendrocytes, astrocytes, or gliosis. Multivariate analysis revealed that tissue rarefaction (β = -0.32 ± 0.12, p = 0.009) and axonal density (β = 0.25 ± 0.12, p = 0.04) were both independently associated with FA, whereas myelin density was independently associated with MD (β = -0.32 ± 0.12, p = 0.013). Finally, we found an association between increased MD in the frontal white matter and CAA severity in the frontal cortex (p = 0.035). CONCLUSIONS These results suggest that overall tissue loss, and in particular axonal and myelin loss, are major components underlying CAA-related alterations in DTI properties observed in living patients. The findings allow for a more mechanistic interpretation of DTI parameters in small vessel disease and for mechanism-based selection of candidate treatments to prevent vascular cognitive impairment.
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Affiliation(s)
- Susanne J van Veluw
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown.
| | - Yael D Reijmer
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Andre J van der Kouwe
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Andreas Charidimou
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Grace A Riley
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Alexander Leemans
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Brian J Bacskai
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Matthew P Frosch
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Anand Viswanathan
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Steven M Greenberg
- From the J. Philip Kistler Stroke Research Center, Department of Neurology (S.J.v.V., Y.D.R., A.C., G.A.R., A.V., S.M.G.), and Neuropathology Service, C.S. Kubik Laboratory for Neuropathology (M.P.F.), Massachusetts General Hospital and Harvard Medical School, Boston; MassGeneral Institute for Neurodegenerative Disease (S.J.v.V., B.J.B., M.P.F.), Charlestown Navy Yard, MA; Department of Neurology, Brain Center Rudolf Magnus (Y.D.R.), and Image Sciences Institute (A.L.), University Medical Center Utrecht, Utrecht University, the Netherlands; and Athinoula A. Martinos Center for Biomedical Imaging (A.J.v.d.K.), Department of Radiology, Massachusetts General Hospital, Charlestown
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Mohamed Ali O, Vandermeer MRJ, Sheikh HI, Joanisse MF, Hayden EP. Girls' internalizing symptoms and white matter tracts in Cortico-Limbic circuitry. Neuroimage Clin 2018; 21:101650. [PMID: 30611742 PMCID: PMC6412069 DOI: 10.1016/j.nicl.2018.101650] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 12/01/2018] [Accepted: 12/26/2018] [Indexed: 01/26/2023]
Abstract
Dysfunction in cortico-limbic circuitry is implicated in internalizing disorders (i.e., depressive and anxious disorders), but less is known about whether structural variations precede frank disorder and thus potentially mark risk. We therefore examined associations between white matter (WM) tract microstructure in cortico-limbic circuitry at age 7 and concurrent and longitudinal patterns of internalizing symptoms in 42 typically developing girls using Diffusion Tensor Imaging (DTI). Girls' internalizing symptoms were concurrently associated with reduced fractional anisotropy (FA) in segments of the cingulum bundle (CB) and the uncinate fasciculus (UF), bilaterally. Moreover, latent profile analysis showed that girls with increasing internalizing symptoms, based on assessments at ages 3, 6, 7, and 8, had reduced FA in these segments compared to girls with stably low symptoms. These results point to a putative neural mechanism underlying the course of childhood internalizing symptoms.
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Affiliation(s)
- Ola Mohamed Ali
- Department of Psychology, Brain and Mind Institute, University of Western Ontario, London, ON N6A 5B7, Canada.
| | - Matthew R J Vandermeer
- Department of Psychology, Brain and Mind Institute, University of Western Ontario, London, ON N6A 5B7, Canada
| | - Haroon I Sheikh
- Molecular Genetics Unit, Department of Biology, University of Western Ontario, London, ON N6A 5B7, Canada
| | - Marc F Joanisse
- Department of Psychology, Brain and Mind Institute, University of Western Ontario, London, ON N6A 5B7, Canada
| | - Elizabeth P Hayden
- Department of Psychology, Brain and Mind Institute, University of Western Ontario, London, ON N6A 5B7, Canada
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Ozernov-Palchik O, Norton ES, Wang Y, Beach SD, Zuk J, Wolf M, Gabrieli JDE, Gaab N. The relationship between socioeconomic status and white matter microstructure in pre-reading children: A longitudinal investigation. Hum Brain Mapp 2018; 40:741-754. [PMID: 30276914 DOI: 10.1002/hbm.24407] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 09/11/2018] [Accepted: 09/17/2018] [Indexed: 12/18/2022] Open
Abstract
Reading is a learned skill crucial for educational attainment. Children from families of lower socioeconomic status (SES) tend to have poorer reading performance and this gap widens across years of schooling. Reading relies on the orchestration of multiple neural systems integrated via specific white-matter pathways, but there is limited understanding about whether these pathways relate differentially to reading performance depending on SES background. Kindergarten white-matter FA and second-grade reading outcomes were investigated in an SES-diverse sample of 125 children. The three left-hemisphere white-matter tracts most associated with reading, and their right-hemisphere homologs, were examined: arcuate fasciculus (AF), superior longitudinal fasciculus (SLF), and inferior longitudinal fasciculus (ILF). There was a significant and positive association between SES and fractional anisotropy (FA) in the bilateral ILF in kindergarten. SES moderated the association between kindergarten ILF and second grade reading performance, such that it was positive in lower-SES children, but not significant in higher-SES children. These results have implications for understanding the role of the environment in the development of the neural pathways that support reading.
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Affiliation(s)
- Ola Ozernov-Palchik
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA.,Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA
| | - Elizabeth S Norton
- Department of Communication Sciences and Disorders, Department of Medical Social Sciences, and Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL
| | - Yingying Wang
- College of Education and Human Sciences, University of Nebraska, Lincoln, NE
| | - Sara D Beach
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA.,Harvard Medical School, Boston, Massachusetts Boston Children's Hospital, Boston, MA
| | - Jennifer Zuk
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA.,Harvard Medical School, Boston, Massachusetts Boston Children's Hospital, Boston, MA
| | - Maryanne Wolf
- Center for Dyslexia, Diverse Learners, and Social Justice, Graduate School of Education and Information Studies, UCLA
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA
| | - Nadine Gaab
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA.,Harvard Medical School, Boston, Massachusetts Boston Children's Hospital, Boston, MA
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Impact of white matter hyperintensities on surrounding white matter tracts. Neuroradiology 2018; 60:933-944. [PMID: 30030550 DOI: 10.1007/s00234-018-2053-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 07/03/2018] [Indexed: 10/28/2022]
Abstract
PURPOSE It is unclear how white matter hyperintensities disrupt surrounding white matter tracts. The aim of this tractography study was to determine the spatial relationship between diffusion characteristics along white matter tracts and the distance from white matter hyperintensities. METHODS Diffusion tensor 3-T MRI scans were acquired in 29 participants with white matter hyperintensities. In each subject, tractography by the fiber assignment by continuous tracking method was used to segment corticospinal tracts. Mean diffusivity, radial diffusivity, axial diffusivity, and fractional anisotropy were measured along corticospinal tracts in relation to white matter hyperintensities. Diffusion characteristics along tracts were correlated with distance from white matter hyperintensities and were also compared between tracts traversing and not traversing white matter hyperintensities. RESULTS In tracts not traversing through white matter hyperintensities, increasing distance from white matter hyperintensities was associated with decreased mean diffusivity (p = 0.002) and increased fractional anisotropy (p = 0.006). In tracts traversing white matter hyperintensities, compared to tracts not traversing white matter hyperintensites, the mean diffusivity was higher at 6-8 voxels, axial diffusivity higher at 4-8 voxels, and radial diffusivity higher at 7 voxels away from white matter hyperintensities (all p < 0.006). CONCLUSION White matter hyperintensities are associated with two patterns of altered diffusion characteristics in the surrounding white matter tract network. Diffusion characteristics along white matter tracts improve further away from white matter hyperintensities suggestive of a local penumbra pattern. Also, altered diffusion extends further along tracts traversing white matter hyperintensities suggestive of a Wallerian-type degenerative pattern.
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35
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Žarić G, Timmers I, Gerretsen P, Fraga González G, Tijms J, van der Molen MW, Blomert L, Bonte M. Atypical White Matter Connectivity in Dyslexic Readers of a Fairly Transparent Orthography. Front Psychol 2018; 9:1147. [PMID: 30042708 PMCID: PMC6049043 DOI: 10.3389/fpsyg.2018.01147] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 06/14/2018] [Indexed: 01/18/2023] Open
Abstract
Atypical structural properties of the brain's white matter bundles have been associated with failing reading acquisition in developmental dyslexia. Because these white matter properties may show dynamic changes with age and orthographic depth, we examined fractional anisotropy (FA) along 16 white matter tracts in 8- to 11-year-old dyslexic (DR) and typically reading (TR) children learning to read in a fairly transparent orthography (Dutch). Our results showed higher FA values in the bilateral anterior thalamic radiations of DRs and FA values of the left thalamic radiation scaled with behavioral reading-related scores. Furthermore, DRs tended to have atypical FA values in the bilateral arcuate fasciculi. Children's age additionally predicted FA values along the tracts. Together, our findings suggest differential contributions of cortical and thalamo-cortical pathways to the developing reading network in dyslexic and typical readers, possibly indicating prolonged letter-by-letter reading or increased attentional and/or working memory demands in dyslexic children during reading.
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Affiliation(s)
- Gojko Žarić
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
- Maastricht Brain Imaging Center (M-BIC), Maastricht, Netherlands
| | - Inge Timmers
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | | | - Gorka Fraga González
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Jurgen Tijms
- IWAL Instituut Voor Leerproblemen, Amsterdam, Netherlands
| | | | - Leo Blomert
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
- Maastricht Brain Imaging Center (M-BIC), Maastricht, Netherlands
| | - Milene Bonte
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
- Maastricht Brain Imaging Center (M-BIC), Maastricht, Netherlands
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Ho TC, King LS, Leong JK, Colich NL, Humphreys KL, Ordaz SJ, Gotlib IH. Effects of sensitivity to life stress on uncinate fasciculus segments in early adolescence. Soc Cogn Affect Neurosci 2018; 12:1460-1469. [PMID: 28460088 PMCID: PMC5629927 DOI: 10.1093/scan/nsx065] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 04/23/2017] [Indexed: 11/14/2022] Open
Abstract
Previous research suggests that exposure to early life stress (ELS) affects the structural integrity of the uncinate fasciculus (UF), a frontolimbic white matter tract that undergoes protracted development throughout adolescence. Adolescence is an important transitional period characterized by the emergence of internalizing psychopathology such as anxiety, particularly in individuals with high levels of stress sensitivity. We examined the relations among sensitivity to ELS, structural integrity of the UF, and anxiety symptoms in 104 early adolescents. We conducted structured interviews to assess exposure to ELS and obtained subjective and objective ratings of stress severity, from which we derived an index of ELS sensitivity. We also acquired diffusion MRI and conducted deterministic tractography to visualize UF trajectories and to compute measures of structural integrity from three distinct segments of the UF: frontal, insular, temporal. We found that higher sensitivity to ELS predicted both reduced fractional anisotropy in right frontal UF and higher levels of anxiety symptoms. These findings suggest that fibers in frontal UF, which are still developing throughout adolescence, are most vulnerable to the effects of heightened sensitivity to ELS, and that reduced structural integrity of frontal UF may underlie the relation between early stress and subsequent internalizing psychopathology.
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Affiliation(s)
| | | | | | | | | | - Sarah J Ordaz
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
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Yeatman JD, Richie-Halford A, Smith JK, Keshavan A, Rokem A. A browser-based tool for visualization and analysis of diffusion MRI data. Nat Commun 2018; 9:940. [PMID: 29507333 PMCID: PMC5838108 DOI: 10.1038/s41467-018-03297-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 02/02/2018] [Indexed: 12/12/2022] Open
Abstract
Human neuroscience research faces several challenges with regards to reproducibility. While scientists are generally aware that data sharing is important, it is not always clear how to share data in a manner that allows other labs to understand and reproduce published findings. Here we report a new open source tool, AFQ-Browser, that builds an interactive website as a companion to a diffusion MRI study. Because AFQ-Browser is portable-it runs in any web-browser-it can facilitate transparency and data sharing. Moreover, by leveraging new web-visualization technologies to create linked views between different dimensions of the dataset (anatomy, diffusion metrics, subject metadata), AFQ-Browser facilitates exploratory data analysis, fueling new discoveries based on previously published datasets. In an era where Big Data is playing an increasingly prominent role in scientific discovery, so will browser-based tools for exploring high-dimensional datasets, communicating scientific discoveries, aggregating data across labs, and publishing data alongside manuscripts.
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Affiliation(s)
- Jason D Yeatman
- Institute for Learning & Brain Sciences, University of Washington, Portage Bay Building, Box 357988, Seattle, WA, 98195, USA.
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, 98195, USA.
| | | | - Josh K Smith
- Department of Chemical Engineering, University of Washington, Seattle, WA, 98195, USA
| | - Anisha Keshavan
- Institute for Learning & Brain Sciences, University of Washington, Portage Bay Building, Box 357988, Seattle, WA, 98195, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, 98195, USA
- eScience Institute, WRF Data Science Studio, University of Washington, Physics/Astronomy Tower (PAT), 6th Floor 3910 15th Ave NE, Seattle, WA, 98195, USA
| | - Ariel Rokem
- eScience Institute, WRF Data Science Studio, University of Washington, Physics/Astronomy Tower (PAT), 6th Floor 3910 15th Ave NE, Seattle, WA, 98195, USA.
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38
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Deng F, Wang Y, Huang H, Niu M, Zhong S, Zhao L, Qi Z, Wu X, Sun Y, Niu C, He Y, Huang L, Huang R. Abnormal segments of right uncinate fasciculus and left anterior thalamic radiation in major and bipolar depression. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:340-349. [PMID: 28912043 DOI: 10.1016/j.pnpbp.2017.09.006] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 09/03/2017] [Accepted: 09/10/2017] [Indexed: 12/22/2022]
Abstract
Differential brain structural abnormalities between bipolar disorder (BD) and major depressive disorder (MDD) may reflect different pathological mechanisms underlying these two brain disorders. However, few studies have directly compared the brain structural properties, especially in white matter (WM) tracts, between BD and MDD. Using automated fiber-tract quantification (AFQ), we utilized diffusion tensor images (DTI) from 67 unmedicated depressed patients, including 31 BD and 36 MDD, and 45 healthy controls (HC) to create fractional anisotropy (FA) tract profiles along 20 major WM tracts. Then, we compared between-group differences in FA values at each node along the fiber tracts. To differentiate the BD and the MDD, we enrolled the diffusion measures of the tract profiles into support vector machine (SVM), a type of machine learning algorithm. The BD showed lower FA in the insular cortex portion of the right uncinate fasciculus (UF) compared to the MDD and in the prefrontal lobe portion of the right UF compared to the HC. The MDD showed lower FA in the prefrontal lobe portion of the left anterior thalamic radiation (ATR) compared to the HC. Using the SVM approach, we found the FA tract profile of the left ATR can be used to differentiate the BD and the MDD at an accuracy up to 68.33% (p=0.018). These findings suggested that the BD and the MDD may be characterized by different abnormalities in specific segments of brain WM tracts, especially in two frontal-situated tracts, the right UF and the left ATR.
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Affiliation(s)
- Feng Deng
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Clinical Experimental Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Huiyuan Huang
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China
| | - Meiqi Niu
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ling Zhao
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Xiaoyan Wu
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China
| | - Yao Sun
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Chen Niu
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China
| | - Yuan He
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ruiwang Huang
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou 510631, China.
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Deng F, Zhao L, Liu C, Lu M, Zhang S, Huang H, Chen L, Wu X, Niu C, He Y, Wang J, Huang R. Plasticity in deep and superficial white matter: a DTI study in world class gymnasts. Brain Struct Funct 2017; 223:1849-1862. [PMID: 29250703 DOI: 10.1007/s00429-017-1594-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 12/12/2017] [Indexed: 12/20/2022]
Abstract
Brain white matter (WM) could be generally categorized into two types, deep and superficial WM. Studies combining these two types WM are important for a better understanding of brain plasticity induced by motor training. In this study, we applied both univariate and multivariate approaches to study gymnastic training-induced plasticity in brain WM. Specifically, we acquired diffusion tensor imaging data from 13 world class gymnasts and 14 non-athlete normal controls, reconstructed brain deep and superficial WM tracts, estimated and compared their fractional anisotropy (FA) difference between the two groups. Taking FA values as the features, we applied logistic regression and support vector machine to distinguish the gymnasts from the controls. Compared to the controls, the gymnasts showed lower FA in four regional deep WM tracts, including the occipital lobe portion of left inferior fronto-occipital fasciculus (IFOF.L), occipital and temporal lobe portion of right inferior longitudinal fasciculus (ILF.R), insular cortex portion of right uncinate fasciculus (UF.R), and parietal lobe portion of right arcuate fasciculus (AF.R). Meanwhile, we found lower FA in the superficial U-shaped tracts within the frontal lobe in the gymnasts compared to the controls. In addition, we detected that mean FA in either the AF.R or the U-shaped tracts connecting the left pars triangularis and superior frontal gyrus was negatively correlated with years of training in the gymnasts. Classification analyses indicated FA in deep WM hold higher potential to distinguish the gymnasts from the controls. Overall, our findings provide a more complete picture of training-induced plasticity in brain WM.
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Affiliation(s)
- Feng Deng
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Ling Zhao
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Chunlei Liu
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA.,Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720, USA
| | - Min Lu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China
| | - Shufei Zhang
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Huiyuan Huang
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Lixiang Chen
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Xiaoyan Wu
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Chen Niu
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Yuan He
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | - Jun Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Ruiwang Huang
- Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China.
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40
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Zhang F, Savadjiev P, Cai W, Song Y, Rathi Y, Tunç B, Parker D, Kapur T, Schultz RT, Makris N, Verma R, O'Donnell LJ. Whole brain white matter connectivity analysis using machine learning: An application to autism. Neuroimage 2017; 172:826-837. [PMID: 29079524 DOI: 10.1016/j.neuroimage.2017.10.029] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 09/26/2017] [Accepted: 10/14/2017] [Indexed: 01/15/2023] Open
Abstract
In this paper, we propose an automated white matter connectivity analysis method for machine learning classification and characterization of white matter abnormality via identification of discriminative fiber tracts. The proposed method uses diffusion MRI tractography and a data-driven approach to find fiber clusters corresponding to subdivisions of the white matter anatomy. Features extracted from each fiber cluster describe its diffusion properties and are used for machine learning. The method is demonstrated by application to a pediatric neuroimaging dataset from 149 individuals, including 70 children with autism spectrum disorder (ASD) and 79 typically developing controls (TDC). A classification accuracy of 78.33% is achieved in this cross-validation study. We investigate the discriminative diffusion features based on a two-tensor fiber tracking model. We observe that the mean fractional anisotropy from the second tensor (associated with crossing fibers) is most affected in ASD. We also find that local along-tract (central cores and endpoint regions) differences between ASD and TDC are helpful in differentiating the two groups. These altered diffusion properties in ASD are associated with multiple robustly discriminative fiber clusters, which belong to several major white matter tracts including the corpus callosum, arcuate fasciculus, uncinate fasciculus and aslant tract; and the white matter structures related to the cerebellum, brain stem, and ventral diencephalon. These discriminative fiber clusters, a small part of the whole brain tractography, represent the white matter connections that could be most affected in ASD. Our results indicate the potential of a machine learning pipeline based on white matter fiber clustering.
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Affiliation(s)
- Fan Zhang
- Harvard Medical School, Boston MA, USA.
| | | | | | - Yang Song
- University of Sydney, Sydney NSW, Australia
| | | | - Birkan Tunç
- University of Pennsylvania, Philadelphia PA, USA
| | - Drew Parker
- University of Pennsylvania, Philadelphia PA, USA
| | | | - Robert T Schultz
- University of Pennsylvania, Philadelphia PA, USA; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia PA, USA
| | | | - Ragini Verma
- University of Pennsylvania, Philadelphia PA, USA
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41
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Shany E, Inder TE, Goshen S, Lee I, Neil JJ, Smyser CD, Doyle LW, Anderson PJ, Shimony JS. Diffusion Tensor Tractography of the Cerebellar Peduncles in Prematurely Born 7-Year-Old Children. THE CEREBELLUM 2017; 16:314-325. [PMID: 27255706 DOI: 10.1007/s12311-016-0796-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The objective of this study was to correlate neurodevelopmental outcome of preterm-born children and their perinatal clinical and imaging characteristics with diffusion magnetic resonance imaging (MRI) measures of the three cerebellar peduncles at age 7. Included in this prospective longitudinal study were 140 preterm-born children (<30 weeks gestation) who underwent neurodevelopmental assessment (IQ, motor, language, working memory) and diffusion-weighted imaging (DWI) at age 7 years. White matter tracts in the superior, middle, and inferior cerebellar peduncles were delineated using regions of interest drawn on T2-weighted images and fractional anisotropy (FA) maps. Diffusion measures (mean diffusivity (MD) and FA) and tract volumes were calculated. Linear regression was used to assess relationships with outcome. The severity of white matter injury in the neonatal period was associated with lower FA in the right superior cerebellar peduncle (SCP) and lower tract volumes of both SCPs and middle cerebellar peduncles (MCPs). In the MCP, higher IQ was associated with lower MD in the whole group and higher FA in right-handed children. In the SCP, lower motor scores were associated with higher MD and higher language scores were associated with higher FA. These associations remained significant in multivariable models. This study adds to the body of literature detailing the importance of cerebellar involvement in cognitive function related to reciprocal connections with supratentorial structures.
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Affiliation(s)
- Eilon Shany
- Department of Neonatology, Soroka Medical Center, P.O. Box 151, 84101, Beer Sheva, Israel.
- Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Sharon Goshen
- Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel
| | - Iris Lee
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Jeffrey J Neil
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Christopher D Smyser
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Lex W Doyle
- Department of Obstetrics and Gynaecology, The Royal Women's Hospital, Melbourne, Australia
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Peter J Anderson
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
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Hodgetts CJ, Postans M, Warne N, Varnava A, Lawrence AD, Graham KS. Distinct contributions of the fornix and inferior longitudinal fasciculus to episodic and semantic autobiographical memory. Cortex 2017; 94:1-14. [PMID: 28710907 PMCID: PMC5576916 DOI: 10.1016/j.cortex.2017.05.010] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 03/30/2017] [Accepted: 05/12/2017] [Indexed: 11/01/2022]
Abstract
Autobiographical memory (AM) is multifaceted, incorporating the vivid retrieval of contextual detail (episodic AM), together with semantic knowledge that infuses meaning and coherence into past events (semantic AM). While neuropsychological evidence highlights a role for the hippocampus and anterior temporal lobe (ATL) in episodic and semantic AM, respectively, it is unclear whether these constitute dissociable large-scale AM networks. We used high angular resolution diffusion-weighted imaging and constrained spherical deconvolution-based tractography to assess white matter microstructure in 27 healthy young adult participants who were asked to recall past experiences using word cues. Inter-individual variation in the microstructure of the fornix (the main hippocampal input/output pathway) related to the amount of episodic, but not semantic, detail in AMs - independent of memory age. Conversely, microstructure of the inferior longitudinal fasciculus, linking occipitotemporal regions with ATL, correlated with semantic, but not episodic, AMs. Further, these significant correlations remained when controlling for hippocampal and ATL grey matter volume, respectively. This striking correlational double dissociation supports the view that distinct, large-scale distributed brain circuits underpin context and concepts in AM.
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Affiliation(s)
- Carl J Hodgetts
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, Wales, UK.
| | - Mark Postans
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, Wales, UK; BRAIN Unit, Cardiff University, Cardiff, Wales, UK
| | - Naomi Warne
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, UK
| | - Alice Varnava
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, Wales, UK
| | - Andrew D Lawrence
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, Wales, UK
| | - Kim S Graham
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, Wales, UK
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Cousineau M, Jodoin PM, Garyfallidis E, Côté MA, Morency FC, Rozanski V, Grand’Maison M, Bedell BJ, Descoteaux M. A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles. Neuroimage Clin 2017; 16:222-233. [PMID: 28794981 PMCID: PMC5547250 DOI: 10.1016/j.nicl.2017.07.020] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Revised: 07/13/2017] [Accepted: 07/22/2017] [Indexed: 12/13/2022]
Abstract
In this work, we propose a diffusion MRI protocol for mining Parkinson's disease diffusion MRI datasets and recover robust disease-specific biomarkers. Using advanced high angular resolution diffusion imaging (HARDI) crossing fiber modeling and tractography robust to partial volume effects, we automatically dissected 50 white matter (WM) fascicles. These fascicles connect deep nuclei (thalamus, putamen, pallidum) to different cortical functional areas (associative, motor, sensorimotor, limbic), basal forebrain and substantia nigra. Then, among these 50 candidate WM fascicles, only the ones that passed a test-retest reproducibility procedure qualified for further tractometry analysis. Leveraging the unique 2-timepoints test-retest Parkinson's Progression Markers Initiative (PPMI) dataset of over 600 subjects, we found statistically significant differences in tract profiles along the subcortico-cortical pathways between Parkinson's disease patients and healthy controls. In particular, significant increases in FA, apparent fiber density, tract-density and generalized FA were detected in some locations of the nigro-subthalamo-putaminal-thalamo-cortical pathway. This connection is one of the major motor circuits balancing the coordination of motor output. Detailed and quantifiable knowledge on WM fascicles in these areas is thus essential to improve the quality and outcome of Deep Brain Stimulation, and to target new WM locations for investigation.
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Affiliation(s)
- Martin Cousineau
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Pierre-Marc Jodoin
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
- Imeka Solutions Inc., Sherbrooke, QC, Canada
| | - Eleftherios Garyfallidis
- Department of Intelligent Systems Engineering, School of Informatics and Computing, Indiana University, Bloomington, USA
| | - Marc-Alexandre Côté
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
| | | | - Verena Rozanski
- Department of Neurology, Klinikum Grosshadern, University of Munich, Germany
| | | | - Barry J. Bedell
- Biospective Inc., Montréal, QC, Canada
- McGill University, Montréal, QC, Canada
| | - Maxime Descoteaux
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
- Imeka Solutions Inc., Sherbrooke, QC, Canada
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Aging-Resilient Associations between the Arcuate Fasciculus and Vocabulary Knowledge: Microstructure or Morphology? J Neurosci 2017; 36:7210-22. [PMID: 27383595 DOI: 10.1523/jneurosci.4342-15.2016] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 05/27/2016] [Indexed: 11/21/2022] Open
Abstract
UNLABELLED Vocabulary knowledge is one of the few cognitive functions that is relatively preserved in older adults, but the reasons for this relative preservation have not been well delineated. We tested the hypothesis that individual differences in vocabulary knowledge are influenced by arcuate fasciculus macrostructure (i.e., shape and volume) properties that remain stable during the aging process, rather than white matter microstructure that demonstrates age-related declines. Vocabulary was not associated with age compared to pronounced age-related declines in cognitive processing speed across 106 healthy adults (19.92-88.29 years) who participated in this neuroimaging experiment. Fractional anisotropy in the left arcuate fasciculus was significantly related to individual variability in vocabulary. This effect was present despite marked age-related differences in a T1-weighted/T2-weighted ratio (T1w/T2w) estimate of myelin that were observed throughout the left arcuate fasciculus and associated with age-related differences in cognitive processing speed. However, atypical patterns of arcuate fasciculus morphology or macrostructure were associated with decreased vocabulary knowledge. These results suggest that deterioration of tissue in the arcuate fasciculus occurs with normal aging, while having limited impact on tract organization that underlies individual differences in the acquisition and retrieval of lexical and semantic information. SIGNIFICANCE STATEMENT Vocabulary knowledge is resilient to widespread age-related declines in brain structure that limit other cognitive functions. We tested the hypothesis that arcuate fasciculus morphology, which supports the development of reading skills that bolster vocabulary, could explain this relative preservation. We disentangled (1) the effects of age-related declines in arcuate microstructure (mean diffusivity; myelin content estimate) that predicted cognitive processing speed but not vocabulary, from (2) relatively stable arcuate macrostructure (shape/volume) that explained significant variance in an age-independent association between fractional anisotropy and vocabulary. This latter result may reflect differences in fiber trajectory and organization that are resilient to aging. We propose that developmental sculpting of the arcuate fasciculus determines acquisition, storage, and access of lexical information across the adult lifespan.
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Dennis EL, Rashid F, Faskowitz J, Jin Y, McMahon KL, de Zubicaray GI, Martin NG, Hickie IB, Wright MJ, Jahanshad N, Thompson PM. MAPPING AGE EFFECTS ALONG FIBER TRACTS IN YOUNG ADULTS. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING 2017; 2017:101-104. [PMID: 29201279 DOI: 10.1109/isbi.2017.7950478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Brain development is a protracted and dynamic process. Many studies have charted the trajectory of white matter development, but here we sought to map these effects in greater detail, based on a large set of fiber tracts automatically extracted from HARDI (high angular resolution diffusion imaging) at 4 tesla. We used autoMATE (automated multi-atlas tract extraction) to extract diffusivity measures along 18 of the brain's major fiber bundles in 667 young adults, aged 18-30. We examined linear and non-linear age effects on diffusivity measures, pointwise along tracts. All diffusivity measures showed both linear and non-linear age effects. Tracts with the most pronounced age effects were those that connected the temporal lobe to the rest of the brain. Nonlinear age effects were picked up strongly in the anterior corpus callosum and right temporo-parietal tracts.
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Affiliation(s)
- Emily L Dennis
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Faisal Rashid
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Josh Faskowitz
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Yan Jin
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Katie L McMahon
- Center for Advanced Imaging, Univ. of Queensland, Brisbane, Australia
| | | | | | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
| | - Margaret J Wright
- Center for Advanced Imaging, Univ. of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
- Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, CA
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46
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Wang Y, Mauer MV, Raney T, Peysakhovich B, Becker BLC, Sliva DD, Gaab N. Development of Tract-Specific White Matter Pathways During Early Reading Development in At-Risk Children and Typical Controls. Cereb Cortex 2017; 27:2469-2485. [PMID: 27114172 PMCID: PMC5964366 DOI: 10.1093/cercor/bhw095] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Developmental dyslexia is a neurodevelopmental disorder with a strong genetic basis. Previous studies observed white matter alterations in the left posterior brain regions in adults and school-age children with dyslexia. However, no study yet has examined the development of tract-specific white matter pathways from the pre-reading to the fluent reading stage in children at familial risk for dyslexia (FHD+) versus controls (FHD-). This study examined white matter integrity at pre-reading, beginning, and fluent reading stages cross-sectionally ( n = 78) and longitudinally (n = 45) using an automated fiber-tract quantification method. Our findings depict white matter alterations and atypical lateralization of the arcuate fasciculus at the pre-reading stage in FHD+ versus FHD- children. Moreover, we demonstrate faster white matter development in subsequent good versus poor readers and a positive association between white matter maturation and reading development using a longitudinal design. Additionally, the combination of white matter maturation, familial risk, and psychometric measures best predicted later reading abilities. Furthermore, within FHD+ children, subsequent good readers exhibited faster white matter development in the right superior longitudinal fasciculus compared with subsequent poor readers, suggesting a compensatory mechanism. Overall, our findings highlight the importance of white matter pathway maturation in the development of typical and atypical reading skills.
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Affiliation(s)
- Yingying Wang
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Special Education and Communication Disorders, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Meaghan V. Mauer
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA
| | - Talia Raney
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA
| | - Barbara Peysakhovich
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA
| | - Bryce L. C. Becker
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA
| | - Danielle D. Sliva
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA
| | - Nadine Gaab
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Harvard Graduate School of Education, Cambridge, MA 02138, USA
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Naigles LR, Johnson R, Mastergeorge A, Ozonoff S, Rogers SJ, Amaral DG, Nordahl CW. Neural correlates of language variability in preschool-aged boys with autism spectrum disorder. Autism Res 2017; 10:1107-1119. [PMID: 28301102 DOI: 10.1002/aur.1756] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Revised: 12/17/2016] [Accepted: 01/06/2017] [Indexed: 12/22/2022]
Abstract
Children with autism vary widely in their language abilities, yet the neural correlates of this language variability remain unclear, especially early in development. Diffusion tensor imaging (DTI) was used to examine diffusivity measures along the length of 18 major fiber tracts in 104 preschool-aged boys with autism spectrum disorder (ASD). The boys were assigned to subgroups according to their level of language development (Low: no/low language, Middle: small vocabulary, High: large vocabulary and grammar), based on their raw scores on the expressive language (EL) and receptive language (RL) sections of the Mullen Scales of Early Learning (MSEL). Results indicate that the subgroups differed in fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD) along the inferior longitudinal fasciculus (ILF) in both hemispheres. Moreover, FA correlated significantly with Mullen EL and RL raw scores, but not ADOS severity score, along the left and right ILF. Subgroups also differed in MD (but not FA) along the left superior longitudinal fasiculus and left corticospinal tract, but these differences were not correlated with language scores. These findings suggest that white matter microstructure in the left and right ILF varies in relation to lexical development in young males with ASD. The findings also support the use of raw scores on language-relevant standardized tests for assessing early language-brain relationships. Autism Res 2017. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Autism Res 2017, 10: 1107-1119. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
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Affiliation(s)
- Letitia R Naigles
- Department of Psychological Sciences, University of Connecticut, 406 Babbidge Road, Storrs, CT, 06296-1020
| | - Ryan Johnson
- Davis Health System, University of California-Davis MIND Institute: University of California, 2825 50th Street, Sacramento, CA, 95817
| | - Ann Mastergeorge
- Davis Health System, University of California-Davis MIND Institute: University of California, 2825 50th Street, Sacramento, CA, 95817.,Texas Tech University: Human Development and Family Studies, P.O. Box 41230, Lubbock, TX, 79409-1230
| | - Sally Ozonoff
- Davis Health System, University of California-Davis MIND Institute: University of California, 2825 50th Street, Sacramento, CA, 95817
| | - Sally J Rogers
- Davis Health System, University of California-Davis MIND Institute: University of California, 2825 50th Street, Sacramento, CA, 95817
| | - David G Amaral
- Davis Health System, University of California-Davis MIND Institute: University of California, 2825 50th Street, Sacramento, CA, 95817
| | - Christine Wu Nordahl
- Davis Health System, University of California-Davis MIND Institute: University of California, 2825 50th Street, Sacramento, CA, 95817
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48
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Conti E, Mitra J, Calderoni S, Pannek K, Shen KK, Pagnozzi A, Rose S, Mazzotti S, Scelfo D, Tosetti M, Muratori F, Cioni G, Guzzetta A. Network over-connectivity differentiates autism spectrum disorder from other developmental disorders in toddlers: A diffusion MRI study. Hum Brain Mapp 2017; 38:2333-2344. [PMID: 28094463 DOI: 10.1002/hbm.23520] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 11/29/2016] [Accepted: 01/06/2017] [Indexed: 11/09/2022] Open
Abstract
Advanced connectivity studies in toddlers with Autism Spectrum Disorder (ASD) are increasing and consistently reporting a disruption of brain connectivity. However, most of these studies compare ASD and typically developing subjects, thus providing little information on the specificity of the abnormalities detected in comparison with other developmental disorders (other-DD). We recruited subjects aged below 36 months who received a clinical diagnosis of Neurodevelopmental Disorder (32 ASD and 16 other-DD including intellectual disability and language disorder) according to DSM-IV TR. Structural and diffusion MRI were acquired to perform whole brain probabilistic and anatomically constrained tractography. Network connectivity matrices were built encoding the number of streamlines (DNUM ) and the tract-averaged fractional anisotropy (DFA ) values connecting each pair of cortical and subcortical regions. Network Based Statistics (NBS) was finally applied on the connectivity matrices to evaluate the network differences between the ASD and other-DD groups. The network differences resulted in an over-connectivity pattern (i.e., higher DNUM and DFA values) in the ASD group with a significance of P < 0.05. No contra-comparison results were found. The over-connectivity pattern in ASD occurred in networks primarily involving the fronto-temporal nodes, known to be crucial for social-skill development and basal ganglia, related to restricted and repetitive behaviours in ASD. To our knowledge, this is the first network-based diffusion study comparing toddlers with ASD and those with other-DD. Results indicate the detection of different connectivity patterns in ASD and other-DD at an age when clinical differential diagnosis is often challenging. Hum Brain Mapp 38:2333-2344, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- E Conti
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| | - J Mitra
- The Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia
| | - S Calderoni
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| | - K Pannek
- The Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia
| | - K K Shen
- The Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia
| | - A Pagnozzi
- The Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia
| | - S Rose
- The Australian eHealth Research Centre, CSIRO, Brisbane, Queensland, Australia
| | - S Mazzotti
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| | - D Scelfo
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| | - M Tosetti
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| | - F Muratori
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy.,Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Cioni
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy.,Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - A Guzzetta
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy.,Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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Kreilkamp BA, Weber B, Richardson MP, Keller SS. Automated tractography in patients with temporal lobe epilepsy using TRActs Constrained by UnderLying Anatomy (TRACULA). Neuroimage Clin 2017; 14:67-76. [PMID: 28138428 PMCID: PMC5257189 DOI: 10.1016/j.nicl.2017.01.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 12/06/2016] [Accepted: 01/04/2017] [Indexed: 12/19/2022]
Abstract
PURPOSE A detailed understanding of white matter tract alterations in patients with temporal lobe epilepsy (TLE) is important as it may provide useful information for likely side of seizure onset, cognitive impairment and postoperative prognosis. However, most diffusion-tensor imaging (DTI) studies have relied on manual reconstruction of tract bundles, despite the recent development of automated techniques. In the present study, we used an automated white matter tractography analysis approach to quantify temporal lobe white matter tract alterations in TLE and determine the relationships between tract alterations, the extent of hippocampal atrophy and the chronicity and severity of the disorder. METHODS We acquired preoperative T1-weighted and DTI data in 64 patients with well-characterized TLE, with imaging and histopathological evidence of hippocampal sclerosis. Identical acquisitions were collected for 44 age- and sex-matched healthy controls. We employed automatic probabilistic tractography DTI analysis using TRActs Constrained by UnderLying Anatomy (TRACULA) available in context of Freesurfer software for the reconstruction of major temporal lobe tract bundles. We determined the factors influencing probabilistic tract reconstruction and investigated alterations of DTI scalar metrics along white matter tracts with respect to hippocampal volume, which was automatically estimated using Freesurfer's morphometric pipelines. We also explored the relationships between white matter tract alterations and duration of epilepsy, age of onset of epilepsy and seizure burden (defined as a function of seizure frequency and duration of epilepsy). RESULTS Whole-tract diffusion characteristics of patients with TLE differed according to side of epilepsy and were significantly different between patients and controls. Waypoint comparisons along each tract revealed that patients had significantly altered tissue characteristics of the ipsilateral inferior-longitudinal, uncinate fasciculus, superior longitudinal fasciculus and cingulum relative to controls. Changes were more widespread (ipsilaterally and contralaterally) in patients with left TLE while patients with right TLE showed changes that remained spatially confined in ipsilateral tract regions. We found no relationship between DTI alterations and volume of the epileptogenic hippocampus. DTI alterations of anterior ipsilateral uncinate and inferior-longitudinal fasciculus correlated with duration of epilepsy (over and above effects of age) and age at onset of epilepsy. Seizure burden correlated with tissue characteristics of the uncinate fasciculus. CONCLUSION This study shows that TRACULA permits the detection of alterations of DTI tract scalar metrics in patients with TLE. It also provides the opportunity to explore relationships with structural volume measurements and clinical variables along white matter tracts. Our data suggests that the anterior temporal lobe portions of the uncinate and inferior-longitudinal fasciculus may be particularly vulnerable to pathological alterations in patients with TLE. These alterations are unrelated to the extent of hippocampal atrophy (and therefore potentially mediated by independent mechanisms) but influenced by chronicity and severity of the disorder.
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Affiliation(s)
- Barbara A.K. Kreilkamp
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK
- Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Bernd Weber
- Department of Epileptology, University of Bonn, Germany
- Department of NeuroCognition/Imaging, Life&Brain Research Center, Bonn, Germany
| | - Mark P. Richardson
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Simon S. Keller
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK
- Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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50
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Keller SS, Glenn GR, Weber B, Kreilkamp BAK, Jensen JH, Helpern JA, Wagner J, Barker GJ, Richardson MP, Bonilha L. Preoperative automated fibre quantification predicts postoperative seizure outcome in temporal lobe epilepsy. Brain 2017; 140:68-82. [PMID: 28031219 PMCID: PMC5226062 DOI: 10.1093/brain/aww280] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Revised: 09/10/2016] [Accepted: 09/26/2016] [Indexed: 11/12/2022] Open
Abstract
Approximately one in every two patients with pharmacoresistant temporal lobe epilepsy will not be rendered completely seizure-free after temporal lobe surgery. The reasons for this are unknown and are likely to be multifactorial. Quantitative volumetric magnetic resonance imaging techniques have provided limited insight into the causes of persistent postoperative seizures in patients with temporal lobe epilepsy. The relationship between postoperative outcome and preoperative pathology of white matter tracts, which constitute crucial components of epileptogenic networks, is unknown. We investigated regional tissue characteristics of preoperative temporal lobe white matter tracts known to be important in the generation and propagation of temporal lobe seizures in temporal lobe epilepsy, using diffusion tensor imaging and automated fibre quantification. We studied 43 patients with mesial temporal lobe epilepsy associated with hippocampal sclerosis and 44 healthy controls. Patients underwent preoperative imaging, amygdalohippocampectomy and postoperative assessment using the International League Against Epilepsy seizure outcome scale. From preoperative imaging, the fimbria-fornix, parahippocampal white matter bundle and uncinate fasciculus were reconstructed, and scalar diffusion metrics were calculated along the length of each tract. Altogether, 51.2% of patients were rendered completely seizure-free and 48.8% continued to experience postoperative seizure symptoms. Relative to controls, both patient groups exhibited strong and significant diffusion abnormalities along the length of the uncinate bilaterally, the ipsilateral parahippocampal white matter bundle, and the ipsilateral fimbria-fornix in regions located within the medial temporal lobe. However, only patients with persistent postoperative seizures showed evidence of significant pathology of tract sections located in the ipsilateral dorsal fornix and in the contralateral parahippocampal white matter bundle. Using receiver operating characteristic curves, diffusion characteristics of these regions could classify individual patients according to outcome with 84% sensitivity and 89% specificity. Pathological changes in the dorsal fornix were beyond the margins of resection, and contralateral parahippocampal changes may suggest a bitemporal disorder in some patients. Furthermore, diffusion characteristics of the ipsilateral uncinate could classify patients from controls with a sensitivity of 98%; importantly, by co-registering the preoperative fibre maps to postoperative surgical lacuna maps, we observed that the extent of uncinate resection was significantly greater in patients who were rendered seizure-free, suggesting that a smaller resection of the uncinate may represent insufficient disconnection of an anterior temporal epileptogenic network. These results may have the potential to be developed into imaging prognostic markers of postoperative outcome and provide new insights for why some patients with temporal lobe epilepsy continue to experience postoperative seizures.
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Affiliation(s)
- Simon S Keller
- 1 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK
- 2 Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, UK
- 3 Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - G Russell Glenn
- 4 Center for Biomedical Imaging, Medical University of South Carolina, Charleston, USA
- 5 Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, USA
- 6 Department of Neurosciences, Medical University of South Carolina, Charleston, USA
| | - Bernd Weber
- 7 Department of Epileptology, University of Bonn, Germany
- 8 Department of Neurocognition / Imaging, Life and Brain Research Centre, Bonn, Germany
| | - Barbara A K Kreilkamp
- 1 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK
- 2 Department of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Jens H Jensen
- 4 Center for Biomedical Imaging, Medical University of South Carolina, Charleston, USA
- 5 Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, USA
| | - Joseph A Helpern
- 4 Center for Biomedical Imaging, Medical University of South Carolina, Charleston, USA
- 5 Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, USA
- 6 Department of Neurosciences, Medical University of South Carolina, Charleston, USA
| | - Jan Wagner
- 7 Department of Epileptology, University of Bonn, Germany
- 8 Department of Neurocognition / Imaging, Life and Brain Research Centre, Bonn, Germany
- 9 Department of Neurology, Epilepsy Centre Hessen-Marburg, University of Marburg Medical Centre, Germany
| | - Gareth J Barker
- 10 Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Mark P Richardson
- 3 Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- 11 Engineering and Physical Sciences Research Council Centre for Predictive Modelling in Healthcare, University of Exeter, UK
| | - Leonardo Bonilha
- 12 Department of Neurology, Medical University of South Carolina, Charleston, USA
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