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Parkkinen S, Radua J, Andrews DS, Murphy D, Dell'Acqua F, Parlatini V. Cerebellar network alterations in adult attention-deficit/hyperactivity disorder. J Psychiatry Neurosci 2024; 49:E233-E241. [PMID: 38960626 PMCID: PMC11230668 DOI: 10.1503/jpn.230146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 03/07/2024] [Accepted: 05/22/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition that often persists into adulthood. Underlying alterations in brain connectivity have been identified but some relevant connections, such as the middle, superior, and inferior cerebellar peduncles (MCP, SCP, and ICP, respectively), have remained largely unexplored; thus, we sought to investigate whether the cerebellar peduncles contribute to ADHD pathophysiology among adults. METHODS We applied diffusion-weighted spherical deconvolution tractography to dissect the cerebellar peduncles of male adults with ADHD (including those who did or did not respond to methylphenidate, based on at least 30% symptom improvement at 2 months) and controls. We investigated differences in tract metrics between controls and the whole ADHD sample and between controls and treatment-response groups using sensitivity analyses. Finally, we analyzed the association between the tract metrics and cliniconeuropsychological profiles. RESULTS We included 60 participants with ADHD (including 42 treatment responders and 18 nonresponders) and 20 control participants. In the whole ADHD sample, MCP fractional anisotropy (FA; t 78 = 3.24, p = 0.002) and hindrance modulated orientational anisotropy (HMOA; t 78 = 3.01, p = 0.004) were reduced, and radial diffusivity (RD) in the right ICP was increased (t 78 = -2.84, p = 0.006), compared with controls. Although case-control differences in MCP FA and HMOA, which reflect white-matter microstructural organization, were driven by both treatment response groups, only responders significantly differed from controls in right ICP RD, which relates to myelination (t 60 = 3.14, p = 0.003). Hindrance modulated orientational anisotropy of the MCP was significantly positively associated with hyperactivity measures. LIMITATIONS This study included only male adults with ADHD. Further research needs to investigate potential sex- and development-related differences. CONCLUSION These results support the role of the cerebellar networks, especially of the MCP, in adult ADHD pathophysiology and should encourage further investigation. CLINICAL TRIAL REGISTRATION NCT03709940.
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Affiliation(s)
- Salla Parkkinen
- From the Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Andrews, Murphy, Dell'Acqua, Parlatini); the Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Murphy, Dell'Acqua, Parlatini); the Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain (Radua); the Department of Psychiatry and Behavioral Sciences, The MIND Institute, University of California, Davis, Sacramento, CA, USA (Andrews); the Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Dell'Acqua); the NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK (Dell'Acqua); the School of Psychology, University of Southampton, Southampton, UK (Parlatini); the Solent NHS Trust, Southampton, UK (Parlatini)
| | - Joaquim Radua
- From the Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Andrews, Murphy, Dell'Acqua, Parlatini); the Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Murphy, Dell'Acqua, Parlatini); the Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain (Radua); the Department of Psychiatry and Behavioral Sciences, The MIND Institute, University of California, Davis, Sacramento, CA, USA (Andrews); the Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Dell'Acqua); the NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK (Dell'Acqua); the School of Psychology, University of Southampton, Southampton, UK (Parlatini); the Solent NHS Trust, Southampton, UK (Parlatini)
| | - Derek S Andrews
- From the Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Andrews, Murphy, Dell'Acqua, Parlatini); the Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Murphy, Dell'Acqua, Parlatini); the Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain (Radua); the Department of Psychiatry and Behavioral Sciences, The MIND Institute, University of California, Davis, Sacramento, CA, USA (Andrews); the Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Dell'Acqua); the NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK (Dell'Acqua); the School of Psychology, University of Southampton, Southampton, UK (Parlatini); the Solent NHS Trust, Southampton, UK (Parlatini)
| | - Declan Murphy
- From the Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Andrews, Murphy, Dell'Acqua, Parlatini); the Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Murphy, Dell'Acqua, Parlatini); the Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain (Radua); the Department of Psychiatry and Behavioral Sciences, The MIND Institute, University of California, Davis, Sacramento, CA, USA (Andrews); the Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Dell'Acqua); the NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK (Dell'Acqua); the School of Psychology, University of Southampton, Southampton, UK (Parlatini); the Solent NHS Trust, Southampton, UK (Parlatini)
| | - Flavio Dell'Acqua
- From the Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Andrews, Murphy, Dell'Acqua, Parlatini); the Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Murphy, Dell'Acqua, Parlatini); the Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain (Radua); the Department of Psychiatry and Behavioral Sciences, The MIND Institute, University of California, Davis, Sacramento, CA, USA (Andrews); the Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Dell'Acqua); the NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK (Dell'Acqua); the School of Psychology, University of Southampton, Southampton, UK (Parlatini); the Solent NHS Trust, Southampton, UK (Parlatini)
| | - Valeria Parlatini
- From the Institute of Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Andrews, Murphy, Dell'Acqua, Parlatini); the Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Parkkinen, Murphy, Dell'Acqua, Parlatini); the Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain (Radua); the Department of Psychiatry and Behavioral Sciences, The MIND Institute, University of California, Davis, Sacramento, CA, USA (Andrews); the Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK (Dell'Acqua); the NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK (Dell'Acqua); the School of Psychology, University of Southampton, Southampton, UK (Parlatini); the Solent NHS Trust, Southampton, UK (Parlatini)
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2
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Bagautdinova J, Bourque J, Sydnor VJ, Cieslak M, Alexander-Bloch AF, Bertolero MA, Cook PA, Gur RE, Gur RC, Hu F, Larsen B, Moore TM, Radhakrishnan H, Roalf DR, Shinohara RT, Tapera TM, Zhao C, Sotiras A, Davatzikos C, Satterthwaite TD. Development of white matter fiber covariance networks supports executive function in youth. Cell Rep 2023; 42:113487. [PMID: 37995188 PMCID: PMC10795769 DOI: 10.1016/j.celrep.2023.113487] [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: 04/14/2023] [Revised: 10/05/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
During adolescence, the brain undergoes extensive changes in white matter structure that support cognition. Data-driven approaches applied to cortical surface properties have led the field to understand brain development as a spatially and temporally coordinated mechanism that follows hierarchically organized gradients of change. Although white matter development also appears asynchronous, previous studies have relied largely on anatomical tract-based atlases, precluding a direct assessment of how white matter structure is spatially and temporally coordinated. Harnessing advances in diffusion modeling and machine learning, we identified 14 data-driven patterns of covarying white matter structure in a large sample of youth. Fiber covariance networks aligned with known major tracts, while also capturing distinct patterns of spatial covariance across distributed white matter locations. Most networks showed age-related increases in fiber network properties, which were also related to developmental changes in executive function. This study delineates data-driven patterns of white matter development that support cognition.
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Affiliation(s)
- Joëlle Bagautdinova
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Josiane Bourque
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Valerie J Sydnor
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew Cieslak
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Aaron F Alexander-Bloch
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Maxwell A Bertolero
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Philip A Cook
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Fengling Hu
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bart Larsen
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hamsanandini Radhakrishnan
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russel T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tinashe M Tapera
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Chenying Zhao
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Aristeidis Sotiras
- Department of Radiology and Institute for Informatics, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63130, USA
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI) of Penn Medicine and Children's Hospital of Philadelphia (CHOP), University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Hosoki M, Bruckert L, Borchers LR, Marchman VA, Travis KE, Feldman HM. Associations of Behavioral Problems and White Matter Properties of the Cerebellar Peduncles in Boys and Girls Born Full Term and Preterm. CEREBELLUM (LONDON, ENGLAND) 2023; 22:163-172. [PMID: 35138604 PMCID: PMC9360188 DOI: 10.1007/s12311-022-01375-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/30/2022] [Indexed: 11/24/2022]
Abstract
Accumulating evidence suggests that the role of cerebellum includes regulation of behaviors; cerebellar impairment may lead to behavioral problems. Behavioral problems differ by sex: internalizing problems are more common in girls, externalizing problems in boys. Behavioral problems are also elevated in children born preterm (PT) compared to children born full term (FT). The current study examined internalizing and externalizing problems in 8-year-old children in relation to sex, birth-group, fractional anisotropy (FA) of the three cerebellar peduncles (superior, middle, and inferior), and interactions among these predictor variables. Participants (N = 78) were 44 boys (28 PT) and 34 girls (15 PT). We assessed behavioral problems via standardized parent reports and FA of the cerebellar peduncles using deterministic tractography. Internalizing problems were higher in children born PT compared to children born FT (p = .032); the interaction of sex and birth-group was significant (p = .044). When considering the contribution of the mean-tract FA of cerebellar peduncles to behavioral problems, there was a significant interaction of sex and mean-tract FA of the inferior cerebellar peduncle (ICP) with internalizing problems; the slope was negative in girls (p = .020) but not in boys. In boys, internalizing problems were only associated with mean-tract FA ICP in those born preterm (p = .010). We found no other significant associations contributing to internalizing or externalizing problems. Thus, we found sexual dimorphism and birth-group differences in the association of white matter metrics of the ICP and internalizing problems in school-aged children. The findings inform theories of the origins of internalizing behavioral problems in middle childhood and may suggest approaches to treatment at school age.
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Affiliation(s)
- Machiko Hosoki
- Division of Developmental and Behavioral Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, 3145 Porter Drive Mail Code 5395, Palo Alto, CA, 94304, USA
| | - Lisa Bruckert
- Division of Developmental and Behavioral Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, 3145 Porter Drive Mail Code 5395, Palo Alto, CA, 94304, USA
| | | | | | - Katherine E Travis
- Division of Developmental and Behavioral Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, 3145 Porter Drive Mail Code 5395, Palo Alto, CA, 94304, USA
| | - Heidi M Feldman
- Division of Developmental and Behavioral Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, 3145 Porter Drive Mail Code 5395, Palo Alto, CA, 94304, USA.
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Ortug A, Yuzbasioglu N, Akalan N, Levman J, Takahashi E. Preoperative and postoperative high angular resolution diffusion imaging tractography of cerebellar pathways in posterior fossa tumors. Clin Anat 2022; 35:1085-1099. [PMID: 35560729 PMCID: PMC9547814 DOI: 10.1002/ca.23914] [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: 04/29/2022] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 11/12/2022]
Abstract
This study aimed to utilize high angular resolution diffusion magnetic resonance imaging (HARDI) tractography in the mapping of the pathways of the cerebellum associated with posterior fossa tumors (infratentorial neoplasms) and to determine whether it is useful for preoperative and postoperative evaluation. Retrospective data from 30 patients (age 2-16 yr) with posterior fossa tumor (17 low grade, 13 high grade) and 30 age-sex-matched healthy controls were used. Structural and diffusion-weighted images were collected at a 3-tesla scanner. Tractography was performed using Diffusion Toolkit software, Q-ball model, FACT algorithm, and angle threshold of 45 degrees. Manually assessed regions of interest were placed to identify reconstructed fiber pathways passing through the superior, medial, and inferior cerebellar peduncles for the preoperative, postoperative, and healthy control groups. Fractional anisotropy (FA), apparent diffusion coefficient (ADC), and track volume measures were obtained and analyzed. Statistically significant differences were found between the preop/postop, preop/control, and postop/control comparisons for the volume of the tracts in both groups. Displacement and disruption of the pathways seemed to differ in relation to the severity of the tumor. The loss of pathways after the operation was associated with selective resection during surgery due to tumor infiltration. There were no FA differences but significantly higher ADC in low-grade tumors, and no difference in both FA and ADC in high-grade tumors. The effects of posterior fossa tumors on cerebellar peduncles and reconstructed pathways were successfully evaluated by HARDI tractography. The technique appears to be useful not only for preoperative but also for postoperative evaluation.
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Affiliation(s)
- A. Ortug
- Department of Anatomy, School of Medicine, Istanbul Medipol University, Istanbul, 34815, Turkey
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - N. Yuzbasioglu
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - N. Akalan
- Department of Neurosurgery, School of Medicine, Istanbul Medipol University, Istanbul, 34815, Turkey
| | - J. Levman
- Department of Computer Science, St. Francis Xavier University, Antigonish, Nova Scotia, B2G 2W5, Canada
| | - E. Takahashi
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
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Cerebellar Contributions to Motor and Cognitive Control in Multiple Sclerosis ✰✰✰. Arch Phys Med Rehabil 2022; 103:1592-1599. [PMID: 34998712 DOI: 10.1016/j.apmr.2021.12.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/25/2021] [Accepted: 12/13/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To evaluate relationships between specific cerebellar regions and common clinical measures of motor and cognitive function in persons with multiple sclerosis (PwMS). DESIGN Cross-sectional. SETTING Laboratory. PARTICIPANTS Twenty-nine PwMS and 28 age- and sex-matched controls without multiple sclerosis (MS) (N=57). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Both diffusion and lobule magnetic resonance imaging analyses and common clinical measures of motor and cognitive function were used to examine structure-function relationships in the cerebellum. RESULTS PwMS demonstrate significantly worse motor and cognitive function than controls, including weaker strength, slower walking, and poorer performance on the Symbol Digit Modalities Test, but demonstrate no differences in cerebellar volume. However, PwMS demonstrate significantly worse diffusivity (mean diffusivity: P=.0003; axial diffusivity: P=.0015; radial diffusivity: P=.0005; fractional anisotropy: P=.016) of the superior cerebellar peduncle, the primary output of the cerebellum. Increased volume of the motor lobules (I-V, VIII) was significantly related to better motor (P<.022) and cognitive (P=.046) performance, and increased volume of the cognitive lobules (VI-VII) was also related to better motor (P<.032) and cognitive (P=.008) performance, supporting the role of the cerebellum in both motor and cognitive functioning. CONCLUSIONS These data highlight the contributions of the cerebellum to both motor and cognitive function in PwMS. Using novel neuroimaging techniques to examine structure-function relationships in PwMS improves our understanding of individualized differences in this heterogeneous group and may provide an avenue for targeted, individualized rehabilitation aimed at improving cerebellar dysfunction in MS.
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Toescu SM, Bruckert L, Jabarkheel R, Yecies D, Zhang M, Clark CA, Mankad K, Aquilina K, Grant GA, Feldman HM, Travis KE, Yeom KW. Spatiotemporal changes in along-tract profilometry of cerebellar peduncles in cerebellar mutism syndrome. Neuroimage Clin 2022; 35:103000. [PMID: 35370121 PMCID: PMC9421471 DOI: 10.1016/j.nicl.2022.103000] [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: 10/11/2021] [Revised: 01/16/2022] [Accepted: 03/28/2022] [Indexed: 10/29/2022]
Abstract
Cerebellar mutism syndrome, characterised by mutism, emotional lability and cerebellar motor signs, occurs in up to 39% of children following resection of medulloblastoma, the most common malignant posterior fossa tumour of childhood. Its pathophysiology remains unclear, but prior studies have implicated damage to the superior cerebellar peduncles. In this study, the objective was to conduct high-resolution spatial profilometry of the cerebellar peduncles and identify anatomic biomarkers of cerebellar mutism syndrome. In this retrospective study, twenty-eight children with medulloblastoma (mean age 8.8 ± 3.8 years) underwent diffusion MRI at four timepoints over one year. Forty-nine healthy children (9.0 ± 4.2 years), scanned at a single timepoint, served as age- and sex-matched controls. Automated Fibre Quantification was used to segment cerebellar peduncles and compute fractional anisotropy (FA) at 30 nodes along each tract. Thirteen patients developed cerebellar mutism syndrome. FA was significantly lower in the distal third of the left superior cerebellar peduncle pre-operatively in all patients compared to controls (FA in proximal third 0.228, middle and distal thirds 0.270, p = 0.01, Cohen's d = 0.927). Pre-operative differences in FA did not predict cerebellar mutism syndrome. However, post-operative reductions in FA were highly specific to the distal left superior cerebellar peduncle, and were most pronounced in children with cerebellar mutism syndrome compared to those without at the 1-4 month follow up (0.325 vs 0.512, p = 0.042, d = 1.36) and at the 1-year follow up (0.342, vs 0.484, p = 0.038, d = 1.12). High spatial resolution cerebellar profilometry indicated a site-specific alteration of the distal segment of the superior cerebellar peduncle seen in cerebellar mutism syndrome which may have important surgical implications in the treatment of these devastating tumours of childhood.
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Affiliation(s)
- Sebastian M Toescu
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA; Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, 30 Guilford St, London WC1N 1EH, UK; Department of Neurosurgery, Great Ormond Street Hospital, London WC1N 3JH, UK.
| | - Lisa Bruckert
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Rashad Jabarkheel
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Derek Yecies
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael Zhang
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christopher A Clark
- Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, 30 Guilford St, London WC1N 1EH, UK
| | - Kshitij Mankad
- Department of Radiology, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Kristian Aquilina
- Department of Neurosurgery, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Gerald A Grant
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Heidi M Feldman
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Katherine E Travis
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
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Radwan AM, Sunaert S, Schilling K, Descoteaux M, Landman BA, Vandenbulcke M, Theys T, Dupont P, Emsell L. An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI. Neuroimage 2022; 254:119029. [PMID: 35231632 DOI: 10.1016/j.neuroimage.2022.119029] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/19/2022] [Accepted: 02/21/2022] [Indexed: 11/17/2022] Open
Abstract
Virtual dissection of white matter (WM) using diffusion MRI tractography is confounded by its poor reproducibility. Despite the increased adoption of advanced reconstruction models, early region-of-interest driven protocols based on diffusion tensor imaging (DTI) remain the dominant reference for virtual dissection protocols. Here we bridge this gap by providing a comprehensive description of typical WM anatomy reconstructed using a reproducible automated subject-specific parcellation-based approach based on probabilistic constrained-spherical deconvolution (CSD) tractography. We complement this with a WM template in MNI space comprising 68 bundles, including all associated anatomical tract selection labels and associated automated workflows. Additionally, we demonstrate bundle inter- and intra-subject variability using 40 (20 test-retest) datasets from the human connectome project (HCP) and 5 sessions with varying b-values and number of b-shells from the single-subject Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation (MASSIVE) dataset. The most reliably reconstructed bundles were the whole pyramidal tracts, primary corticospinal tracts, whole superior longitudinal fasciculi, frontal, parietal and occipital segments of the corpus callosum and middle cerebellar peduncles. More variability was found in less dense bundles, e.g., the fornix, dentato-rubro-thalamic tract (DRTT), and premotor pyramidal tract. Using the DRTT as an example, we show that this variability can be reduced by using a higher number of seeding attempts. Overall inter-session similarity was high for HCP test-retest data (median weighted-dice = 0.963, stdev = 0.201 and IQR = 0.099). Compared to the HCP-template bundles there was a high level of agreement for the HCP test-retest data (median weighted-dice = 0.747, stdev = 0.220 and IQR = 0.277) and for the MASSIVE data (median weighted-dice = 0.767, stdev = 0.255 and IQR = 0.338). In summary, this WM atlas provides an overview of the capabilities and limitations of automated subject-specific probabilistic CSD tractography for mapping white matter fasciculi in healthy adults. It will be most useful in applications requiring a reproducible parcellation-based dissection protocol, and as an educational resource for applied neuroimaging and clinical professionals.
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Affiliation(s)
- Ahmed M Radwan
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium.
| | - Stefan Sunaert
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; UZ Leuven, Department of Radiology, Leuven, Belgium
| | - Kurt Schilling
- Vanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, TN, USA
| | | | - Bennett A Landman
- Vanderbilt University, Department of Electrical Engineering and Computer Engineering, Nashville, TN, USA
| | - Mathieu Vandenbulcke
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; KU Leuven, Department of Geriatric Psychiatry, University Psychiatric Center (UPC), Leuven, Belgium
| | - Tom Theys
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, Leuven, Belgium; UZ Leuven, Department of Neurosurgery, Leuven, Belgium
| | - Patrick Dupont
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven, Belgium
| | - Louise Emsell
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; KU Leuven, Department of Geriatric Psychiatry, University Psychiatric Center (UPC), Leuven, Belgium
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8
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Tamura R, Katayama M, Yamamoto K, Horiguchi T. Suboccipital Transhorizontal Fissure Approach for Posterior Cranial Fossa Lesions: A Cadaveric Study and First Clinical Experience. Oper Neurosurg (Hagerstown) 2021; 21:E479-E487. [PMID: 34624893 DOI: 10.1093/ons/opab345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 08/02/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Surgical treatment of pathological lesions in the deep cerebellar hemisphere, cerebellopontine angle (CPA), and fourth ventricle of the posterior cranial fossa (PCF) is challenging. Conventional neurosurgical approaches to these lesions are associated with risk of various complications. Mastery of efficient fissure dissection is imperative when approaching deep-seated lesions. The horizontal fissure (HF) is the largest and deepest fissure of the cerebellum. OBJECTIVE To conduct an anatomical study and introduce a novel suboccipital trans-HF (SOTHF) approach to access lesions of the deep cerebellar hemispheres, CPA, and upper fourth ventricle of the PCF. METHODS We performed a cadaveric dissection study focusing on anatomical landmarks and surgical feasibility of the SOTHF approach then implemented it in 2 patients with a deep cerebellar hemispheric tumor. RESULTS Anatomical feasibility of the SOTHF approach was demonstrated and compared with conventional approaches in the cadaveric study. Opening the suboccipital surface of the HF to create medial, intermediate, and lateral surgical corridors provided optimal viewing angles and wide access to the deep cerebellar hemispheres, CPA, and upper fourth ventricle without heavy cerebellar retraction. Sacrificing cerebellar neural structures and complex skull base techniques were not required to obtain adequate exposure. The SOTHF approach was successfully applied without complication in 2 patients with a deep cerebellar hemispheric tumor. CONCLUSION The HF is an important cerebellar fissure that provides a gateway to deep areas of the PCF. Further studies are needed to define and expand applications of the SOTHF approach.
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Affiliation(s)
- Ryota Tamura
- Department of Neurosurgery, Kawasaki Municipal Hospital, Kawasaki, Japan.,Department of Neurosurgery, Keio University School of Medicine, Tokyo, Japan
| | - Makoto Katayama
- Department of Neurosurgery, Kawasaki Municipal Hospital, Kawasaki, Japan
| | - Kohsei Yamamoto
- Department of Neurosurgery, Kawasaki Municipal Hospital, Kawasaki, Japan
| | - Takashi Horiguchi
- Department of Neurosurgery, Keio University School of Medicine, Tokyo, Japan
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9
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Structural and resting state functional connectivity beyond the cortex. Neuroimage 2021; 240:118379. [PMID: 34252527 DOI: 10.1016/j.neuroimage.2021.118379] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/21/2021] [Accepted: 07/07/2021] [Indexed: 12/14/2022] Open
Abstract
Mapping the structural and functional connectivity of the central nervous system has become a key area within neuroimaging research. While detailed network structures across the entire brain have been probed using animal models, non-invasive neuroimaging in humans has thus far been dominated by cortical investigations. Beyond the cortex, subcortical nuclei have traditionally been less accessible due to their smaller size and greater distance from radio frequency coils. However, major neuroimaging developments now provide improved signal and the resolution required to study these structures. Here, we present an overview of the connectivity between the amygdala, brainstem, cerebellum, spinal cord and the rest of the brain. While limitations to their imaging and analyses remain, we also provide some recommendations and considerations for mapping brain connectivity beyond the cortex.
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10
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Toescu SM, Hales PW, Kaden E, Lacerda LM, Aquilina K, Clark CA. Tractographic and Microstructural Analysis of the Dentato-Rubro-Thalamo-Cortical Tracts in Children Using Diffusion MRI. Cereb Cortex 2021; 31:2595-2609. [PMID: 33338201 DOI: 10.1093/cercor/bhaa377] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The dentato-rubro-thalamo-cortical tract (DRTC) is the main outflow pathway of the cerebellum, contributing to a finely balanced corticocerebellar loop involved in cognitive and sensorimotor functions. Damage to the DRTC has been implicated in cerebellar mutism syndrome seen in up to 25% of children after cerebellar tumor resection. Multi-shell diffusion MRI (dMRI) combined with quantitative constrained spherical deconvolution tractography and multi-compartment spherical mean technique modeling was used to explore the frontocerebellar connections and microstructural signature of the DRTC in 30 healthy children. The highest density of DRTC connections were to the precentral (M1) and superior frontal gyri (F1), and from cerebellar lobules I-IV and IX. The first evidence of a topographic organization of anterograde projections to the frontal cortex at the level of the superior cerebellar peduncle (SCP) is demonstrated, with streamlines terminating in F1 lying dorsomedially in the SCP compared to those terminating in M1. The orientation dispersion entropy of DRTC regions appears to exhibit greater contrast than that shown by fractional anisotropy. Analysis of a separate reproducibility cohort demonstrates good consistency in the dMRI metrics described. These novel anatomical insights into this well-studied pathway may prove to be of clinical relevance in the surgical resection of cerebellar tumors.
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Affiliation(s)
- Sebastian M Toescu
- Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, London WC1N 1EH, UK.,Department of Neurosurgery, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Patrick W Hales
- Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, London WC1N 1EH, UK
| | - Enrico Kaden
- Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, London WC1N 1EH, UK.,Centre for Medical Image Computing, University College London, London WC1V 6LJ, UK
| | - Luis M Lacerda
- Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, London WC1N 1EH, UK
| | - Kristian Aquilina
- Department of Neurosurgery, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Christopher A Clark
- Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, London WC1N 1EH, UK
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11
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Jossinger S, Mawase F, Ben-Shachar M, Shmuelof L. Locomotor Adaptation Is Associated with Microstructural Properties of the Inferior Cerebellar Peduncle. THE CEREBELLUM 2021; 19:370-382. [PMID: 32034666 DOI: 10.1007/s12311-020-01116-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In sensorimotor adaptation paradigms, participants learn to adjust their behavior in response to an external perturbation. Locomotor adaptation and reaching adaptation depend on the cerebellum and are accompanied by changes in functional connectivity in cortico-cerebellar circuits. In order to gain a better understanding of the particular cerebellar projections involved in locomotor adaptation, we assessed the contribution of specific white matter pathways to the magnitude of locomotor adaptation and to long-term motor adaptation effects (recall and relearning). Diffusion magnetic resonance imaging with deterministic tractography was used to delineate the inferior and superior cerebellar peduncles (ICP, SCP) and the corticospinal tract (CST). Correlations were calculated to assess the association between the diffusivity values along the tracts and behavioral measures of locomotor adaptation. The results point to a significant correlation between the magnitude of adaptation and diffusivity values in the left ICP. Specifically, a higher magnitude of adaptation was associated with higher mean diffusivity and with lower anisotropy values in the left ICP, but not in other pathways. Post hoc analysis revealed that the effect stems from radial, not axial, diffusivity. The magnitude of adaptation was further associated with the degree of ICP lateralization, such that greater adaptation magnitude was correlated with increased rightward asymmetry of the ICP. Our findings suggest that the magnitude of locomotor adaptation depends on afferent signals to the cerebellum, transmitted via the ICP, and point to the contribution of error detection to locomotor adaptation rate.
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Affiliation(s)
- Sivan Jossinger
- The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel.
| | - Firas Mawase
- Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
| | - Michal Ben-Shachar
- The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel.,The Department of English Literature and Linguistics, Bar-Ilan University, Ramat-Gan, Israel
| | - Lior Shmuelof
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Department of Brain and Cognitive Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Department of Physiology and Cell Biology, Ben-Gurion University of the Negev, Beer-Sheva, Israel
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12
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Beliveau V, Krismer F, Skalla E, Schocke MM, Gizewski ER, Wenning GK, Poewe W, Seppi K, Scherfler C. Characterization and diagnostic potential of diffusion tractography in multiple system atrophy. Parkinsonism Relat Disord 2021; 85:30-36. [PMID: 33713904 DOI: 10.1016/j.parkreldis.2021.02.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/28/2021] [Accepted: 02/22/2021] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Microstructural integrity of the middle cerebellar peduncle (MCP) and the putamen captured by diffusion-tensor imaging (DTI) is differentially affected in the parkinsonian and cerebellar variants of multiple system atrophy (MSA-P, MSA-C) compared to Parkinson's disease (PD). The current study applied DTI and tractography in order to 1) characterize the distribution of DTI metrics along the tracts of the MCP and from the putamen in MSA variants, and 2) evaluate the usefulness of combining these measures for the differential diagnosis of MSA-P against PD in the clinical setting. METHODS Twenty-nine MSA patients (MSA-C, n = 10; MSA-P, n = 19), with a mean disease duration of 2.8 ± 1.7 years, 19 PD patients, and 27 healthy controls (HC) were included in the study. Automatized tractography with a masking procedure was employed to isolate the MCP tracts. DTI measures along the tracts of the MCP and within the putamen were acquired and jointly used to classify MSA vs. PD, and MSA-P vs. PD. Putamen volume was additionally tested as classification feature in post hoc analyses. RESULTS DTI measures within the MCP and putamen showed significant alterations in MSA variants compared to HC and PD. Classification accuracy for MSA vs. PD and MSA-P vs PD using diffusion measures was 91.7% and 89.5%, respectively. When replacing the putaminal DTI measure by a normalized measure of putamen volume classification accuracy improved to 95.8% and 94.7%, respectively. CONCLUSION Multimodal information from MCP tractography and putamen volume yields excellent diagnostic accuracy to discriminate between early-to-moderately advanced patients with MSA and PD.
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Affiliation(s)
- Vincent Beliveau
- Medical University of Innsbruck, Department of Neurology, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Florian Krismer
- Medical University of Innsbruck, Department of Neurology, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Elisabeth Skalla
- Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Department of Neuroradiology, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Michael M Schocke
- Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Department of Neuroradiology, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Elke R Gizewski
- Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Department of Neuroradiology, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Gregor K Wenning
- Medical University of Innsbruck, Department of Neurology, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Werner Poewe
- Medical University of Innsbruck, Department of Neurology, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Klaus Seppi
- Medical University of Innsbruck, Department of Neurology, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Christoph Scherfler
- Medical University of Innsbruck, Department of Neurology, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria.
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13
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Drum training induces long-term plasticity in the cerebellum and connected cortical thickness. Sci Rep 2020; 10:10116. [PMID: 32572037 PMCID: PMC7308330 DOI: 10.1038/s41598-020-65877-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 04/06/2020] [Indexed: 11/24/2022] Open
Abstract
It is unclear to what extent cerebellar networks show long-term plasticity and accompanied changes in cortical structures. Using drumming as a demanding multimodal motor training, we compared cerebellar lobular volume and white matter microstructure, as well as cortical thickness of 15 healthy non-musicians before and after learning to drum, and 16 age matched novice control participants. After 8 weeks of group drumming instruction, 3 ×30 minutes per week, we observed the cerebellum significantly changing its grey (volume increase of left VIIIa, relative decrease of VIIIb and vermis Crus I volume) and white matter microstructure in the inferior cerebellar peduncle. These plastic cerebellar changes were complemented by changes in cortical thickness (increase in left paracentral, right precuneus and right but not left superior frontal thickness), suggesting an interplay of cerebellar learning with cortical structures enabled through cerebellar pathways.
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14
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Lee JC, Nopoulos PC, Tomblin JB. Procedural and declarative memory brain systems in developmental language disorder (DLD). BRAIN AND LANGUAGE 2020; 205:104789. [PMID: 32240854 PMCID: PMC7161705 DOI: 10.1016/j.bandl.2020.104789] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 02/24/2020] [Accepted: 03/03/2020] [Indexed: 05/29/2023]
Abstract
The aim of the current study was to examine microstructural differences in white matter relevant to procedural and declarative memory between adolescents/young adults with and without Developmental Language Disorder (DLD) using diffusion tensor imaging (DTI). The findings showed atypical age-related changes in white matter structures in the corticostriatal system, in the corticocerebellar system, and in the medial temporal region in individuals with DLD. Results highlight the importance of considering the age factor in research on DLD. Future studies are needed to examine the developmental relationship between long-term memory and individual differences in language development and learning.
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Affiliation(s)
- Joanna C Lee
- Department of Communication Sciences and Disorders, University of Iowa, Iowa City, IA 52242, United States
| | - Peggy C Nopoulos
- Department of Psychiatry, The University of Iowa, The Roy J and Lucille A Carver College of Medicine, Iowa City, IA 52242, United States
| | - J Bruce Tomblin
- Department of Communication Sciences and Disorders, University of Iowa, Iowa City, IA 52242, United States
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15
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Bruckert L, Shpanskaya K, McKenna ES, Borchers LR, Yablonski M, Blecher T, Ben-Shachar M, Travis KE, Feldman HM, Yeom KW. Age-Dependent White Matter Characteristics of the Cerebellar Peduncles from Infancy Through Adolescence. THE CEREBELLUM 2019; 18:372-387. [PMID: 30637673 DOI: 10.1007/s12311-018-1003-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Cerebellum-cerebrum connections are essential for many motor and cognitive functions and cerebellar disorders are prevalent in childhood. The middle (MCP), inferior (ICP), and superior cerebellar peduncles (SCP) are the major white matter pathways that permit communication between the cerebellum and the cerebrum. Knowledge about the microstructural properties of these cerebellar peduncles across childhood is limited. Here, we report on a diffusion magnetic resonance imaging tractography study to describe age-dependent characteristics of the cerebellar peduncles in a cross-sectional sample of infants, children, and adolescents from newborn to 17 years of age (N = 113). Scans were collected as part of clinical care; participants were restricted to those whose scans showed no abnormal findings and whose history and exam had no risk factors for cerebellar abnormalities. A novel automated tractography protocol was applied. Results showed that mean tract-FA increased, while mean tract-MD decreased from infancy to adolescence in all peduncles. Rapid changes were observed in both diffusion measures in the first 24 months of life, followed by gradual change at older ages. The shape of the tract profiles was similar across ages for all peduncles. These data are the first to characterize the variability of diffusion properties both across and within cerebellar white matter pathways that occur from birth through later adolescence. The data represent a rich normative data set against which white matter alterations seen in children with posterior fossa conditions can be compared. Ultimately, the data will facilitate the identification of sensitive biomarkers of cerebellar abnormalities.
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Affiliation(s)
- Lisa Bruckert
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Katie Shpanskaya
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Emily S McKenna
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Lauren R Borchers
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Maya Yablonski
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Tal Blecher
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Michal Ben-Shachar
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, 5290002, Ramat Gan, Israel.,Department of English Literature and Linguistics, Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Katherine E Travis
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Heidi M Feldman
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA, 94305, USA
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16
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Mallott JM, Palacios EM, Maruta J, Ghajar J, Mukherjee P. Disrupted White Matter Microstructure of the Cerebellar Peduncles in Scholastic Athletes After Concussion. Front Neurol 2019; 10:518. [PMID: 31156545 PMCID: PMC6530417 DOI: 10.3389/fneur.2019.00518] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 05/01/2019] [Indexed: 01/18/2023] Open
Abstract
Concussion, or mild traumatic brain injury (mTBI), is a major public health concern, linked with persistent post-concussive syndrome, and chronic traumatic encephalopathy. At present, standard clinical imaging fails to reliably detect traumatic axonal injury associated with concussion and post-concussive symptoms. Diffusion tensor imaging (DTI) is an MR imaging technique that is sensitive to changes in white matter microstructure. Prior studies using DTI did not jointly investigate white matter microstructure in athletes, a population at high risk for concussive and subconcussive head traumas, with those in typical emergency room (ER) patients. In this study, we determine DTI scalar metrics in both ER patients and scholastic athletes who suffered concussions and compared them to those in age-matched healthy controls. In the early subacute post-concussion period, athletes demonstrated an elevated rate of regional decreases in axial diffusivity (AD) compared to controls. These regional decreases of AD were especially pronounced in the cerebellar peduncles, and were more frequent in athletes compared to the ER patient sample. The group differences may indicate differences in the mechanisms of the concussive impacts as well as possible compound effects of cumulative subconcussive impacts in athletes. The prevalence of white matter abnormality in cerebellar tracts lends credence to the hypothesis that post-concussive symptoms are caused by shearing of axons within an attention network mediated by the cerebellum, and warrant further study of the correlation between cerebellar DTI findings and clinical, neurocognitive, oculomotor, and vestibular outcomes in mTBI patients.
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Affiliation(s)
- Jacob M. Mallott
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Eva M. Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Jun Maruta
- Departments of Neurology and Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Brain Trauma Foundation, New York, NY, United States
| | - Jamshid Ghajar
- Brain Trauma Foundation, New York, NY, United States
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
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17
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Nomi JS, Marshall E, Zaidel E, Biswal B, Castellanos FX, Dick AS, Uddin LQ, Mooshagian E. Diffusion weighted imaging evidence of extra-callosal pathways for interhemispheric communication after complete commissurotomy. Brain Struct Funct 2019; 224:1897-1909. [PMID: 31062161 DOI: 10.1007/s00429-019-01864-2] [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: 08/31/2018] [Accepted: 03/20/2019] [Indexed: 01/10/2023]
Abstract
The integrity of white matter architecture in the human brain is related to cognitive processing abilities. The corpus callosum is the largest white matter bundle interconnecting the two cerebral hemispheres. "Split-brain" patients in whom all cortical commissures have been severed to alleviate intractable epilepsy demonstrate remarkably intact cognitive abilities despite the lack of this important interhemispheric pathway. While it has often been speculated that there are compensatory alterations in the remaining interhemispheric fibers in split-brain patients several years post-commissurotomy, this has never been directly shown. Here we examined extra-callosal pathways for interhemispheric communication in the brain of a patient who underwent complete cerebral commissurotomy using diffusion weighted imaging tractography. We found that compared with a healthy age-matched comparison group, the split-brain patient exhibited increased fractional anisotropy (FA) of the dorsal and ventral pontine decussations of the cortico-cerebellar interhemispheric pathways. Few differences were observed between the patient and the comparison group with respect to FA of other long-range intrahemispheric fibers. These results point to specific cerebellar anatomical substrates that may account for the spared interhemispheric coordination and intact cognitive abilities that have been extensively documented in this unique patient.
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Affiliation(s)
- Jason S Nomi
- Department of Psychology, University of Miami, P.O. Box 248185-0751, Coral Gables, FL, 33124, USA.
| | - Emily Marshall
- Department of Psychology, University of Miami, P.O. Box 248185-0751, Coral Gables, FL, 33124, USA
| | - Eran Zaidel
- Department of Psychology, University of California, Los Angeles, CA, 90095, USA.,Brain Research Institute, University of California, Los Angeles, CA, 90095, USA
| | - Bharat Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA
| | - F Xavier Castellanos
- Department of Child and Adolescent Psychiatry, Hassenfeld Children's Hospital at NYU Langone, New York, NY, 10016, USA.,Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA
| | - Anthony Steven Dick
- Department of Psychology, Florida International University, Miami, FL, 33199, USA
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, P.O. Box 248185-0751, Coral Gables, FL, 33124, USA. .,Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
| | - Eric Mooshagian
- Department of Neuroscience, Washington University School of Medicine, Saint Louis, MO, 63110, USA
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Amemiya K, Morita T, Saito DN, Ban M, Shimada K, Okamoto Y, Kosaka H, Okazawa H, Asada M, Naito E. Local-to-distant development of the cerebrocerebellar sensorimotor network in the typically developing human brain: a functional and diffusion MRI study. Brain Struct Funct 2019; 224:1359-1375. [PMID: 30729998 PMCID: PMC6499876 DOI: 10.1007/s00429-018-01821-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 12/16/2018] [Indexed: 01/19/2023]
Abstract
Sensorimotor function is a fundamental brain function in humans, and the cerebrocerebellar circuit is essential to this function. In this study, we demonstrate how the cerebrocerebellar circuit develops both functionally and anatomically from childhood to adulthood in the typically developing human brain. We measured brain activity using functional magnetic resonance imaging while a total of 57 right-handed, blindfolded, healthy children (aged 8-11 years), adolescents (aged 12-15 years), and young adults (aged 18-23 years) (n = 19 per group) performed alternating extension-flexion movements of their right wrists in precise synchronization with 1-Hz audio tones. We also collected their diffusion MR images to examine the extent of fiber maturity in cerebrocerebellar afferent and efferent tracts by evaluating the anisotropy-sensitive index of hindrance modulated orientational anisotropy (HMOA). During the motor task, although the ipsilateral cerebellum and the contralateral primary sensorimotor cortices were consistently activated across all age groups, the functional connectivity between these two distant regions was stronger in adults than in children and adolescents, whereas connectivity within the local cerebellum was stronger in children and adolescents than in adults. The HMOA values in cerebrocerebellar afferent and efferent tracts were higher in adults than in children (some were also higher than in adolescents). The results indicate that adult-like cerebrocerebellar functional coupling is not completely achieved during childhood and adolescence, even for fundamental sensorimotor brain function, probably due to anatomical immaturity of cerebrocerebellar tracts. This study clearly demonstrated the principle of "local-to-distant" development of functional brain networks in the human cerebrocerebellar sensorimotor network.
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Affiliation(s)
- Kaoru Amemiya
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Tomoyo Morita
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Daisuke N Saito
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
- Biomedical Imaging Research Center, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
- Research Center for Child Mental Development, Kanazawa University, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8640, Japan
| | - Midori Ban
- Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan
| | - Koji Shimada
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
- Biomedical Imaging Research Center, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
| | - Yuko Okamoto
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
- ATR Promotions, 2-2 Hikaridai, Seika, Soraku-gun, Kyoto, 619-0288, Japan
| | - Hirotaka Kosaka
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
- Biomedical Imaging Research Center, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
- Department of Neuropsychiatry, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
| | - Hidehiko Okazawa
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
- Biomedical Imaging Research Center, University of Fukui, 23-3 Matsuoka-shimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193, Japan
| | - Minoru Asada
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Eiichi Naito
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan.
- Graduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, Osaka, 565-0871, Japan.
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Ugurlu D, Firat Z, Türe U, Unal G. Neighborhood resolved fiber orientation distributions (NRFOD) in automatic labeling of white matter fiber pathways. Med Image Anal 2018. [PMID: 29523000 DOI: 10.1016/j.media.2018.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Accurate digital representation of major white matter bundles in the brain is an important goal in neuroscience image computing since the representations can be used for surgical planning, intra-patient longitudinal analysis and inter-subject population connectivity studies. Reconstructing desired fiber bundles generally involves manual selection of regions of interest by an expert, which is subject to user bias and fatigue, hence an automation is desirable. To that end, we first present a novel anatomical representation based on Neighborhood Resolved Fiber Orientation Distributions (NRFOD) along the fibers. The resolved fiber orientations are obtained by generalized q-sampling imaging (GQI) and a subsequent diffusion decomposition method. A fiber-to-fiber distance measure between the proposed fiber representations is then used in a density-based clustering framework to select the clusters corresponding to the major pathways of interest. In addition, neuroanatomical priors are utilized to constrain the set of candidate fibers before density-based clustering. The proposed fiber clustering approach is exemplified on automation of the reconstruction of the major fiber pathways in the brainstem: corticospinal tract (CST); medial lemniscus (ML); middle cerebellar peduncle (MCP); inferior cerebellar peduncle (ICP); superior cerebellar peduncle (SCP). Experimental results on Human Connectome Project (HCP)'s publicly available "WU-Minn 500 Subjects + MEG2 dataset" and expert evaluations demonstrate the potential of the proposed fiber clustering method in brainstem white matter structure analysis.
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Affiliation(s)
- Devran Ugurlu
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey
| | - Zeynep Firat
- Radiology Department, Yeditepe University Hospital, Istanbul, Turkey
| | - Uğur Türe
- Neurosurgery Department, Yeditepe University Hospital, Istanbul, Turkey
| | - Gozde Unal
- Computer Engineering Department, Istanbul Technical University, Istanbul, Turkey.
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Glozman T, Bruckert L, Pestilli F, Yecies DW, Guibas LJ, Yeom KW. Framework for shape analysis of white matter fiber bundles. Neuroimage 2018; 167:466-477. [PMID: 29203454 PMCID: PMC5845796 DOI: 10.1016/j.neuroimage.2017.11.052] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 10/26/2017] [Accepted: 11/22/2017] [Indexed: 12/24/2022] Open
Abstract
Diffusion imaging coupled with tractography algorithms allows researchers to image human white matter fiber bundles in-vivo. These bundles are three-dimensional structures with shapes that change over time during the course of development as well as in pathologic states. While most studies on white matter variability focus on analysis of tissue properties estimated from the diffusion data, e.g. fractional anisotropy, the shape variability of white matter fiber bundle is much less explored. In this paper, we present a set of tools for shape analysis of white matter fiber bundles, namely: (1) a concise geometric model of bundle shapes; (2) a method for bundle registration between subjects; (3) a method for deformation estimation. Our framework is useful for analysis of shape variability in white matter fiber bundles. We demonstrate our framework by applying our methods on two datasets: one consisting of data for 6 normal adults and another consisting of data for 38 normal children of age 11 days to 8.5 years. We suggest a robust and reproducible method to measure changes in the shape of white matter fiber bundles. We demonstrate how this method can be used to create a model to assess age-dependent changes in the shape of specific fiber bundles. We derive such models for an ensemble of white matter fiber bundles on our pediatric dataset and show that our results agree with normative human head and brain growth data. Creating these models for a large pediatric longitudinal dataset may improve understanding of both normal development and pathologic states and propose novel parameters for the examination of the pediatric brain.
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Affiliation(s)
- Tanya Glozman
- Electrical Engineering, Stanford University, Stanford, CA, USA.
| | | | - Franco Pestilli
- Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Derek W Yecies
- Pediatric Neurosurgery, Stanford University, Stanford, CA, USA
| | | | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, USA
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21
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Brossard-Racine M, Limperopoulos C. Normal Cerebellar Development by Qualitative and Quantitative MR Imaging. Neuroimaging Clin N Am 2016; 26:331-9. [DOI: 10.1016/j.nic.2016.03.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Fiori S, Poretti A, Pannek K, Del Punta R, Pasquariello R, Tosetti M, Guzzetta A, Rose S, Cioni G, Battini R. Diffusion Tractography Biomarkers of Pediatric Cerebellar Hypoplasia/Atrophy: Preliminary Results Using Constrained Spherical Deconvolution. AJNR Am J Neuroradiol 2016; 37:917-23. [PMID: 26659337 DOI: 10.3174/ajnr.a4607] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 09/29/2015] [Indexed: 01/04/2023]
Abstract
BACKGROUND AND PURPOSE Advances in MR imaging modeling have improved the feasibility of reconstructing crossing fibers, with increasing benefits in delineating angulated tracts such as cerebellar tracts by using tractography. We hypothesized that constrained spherical deconvolution-based probabilistic tractography could successfully reconstruct cerebellar tracts in children with cerebellar hypoplasia/atrophy and that diffusion scalars of the reconstructed tracts could differentiate pontocerebellar hypoplasia, nonprogressive cerebellar hypoplasia, and progressive cerebellar atrophy. MATERIALS AND METHODS Fifteen children with cerebellar ataxia and pontocerebellar hypoplasia, nonprogressive cerebellar hypoplasia or progressive cerebellar atrophy and 7 controls were included in this study. Cerebellar and corticospinal tracts were reconstructed by using constrained spherical deconvolution. Scalar measures (fractional anisotropy and mean, axial and radial diffusivity) were calculated. A general linear model was used to determine differences among groups for diffusion MR imaging scalar measures, and post hoc pair-wise comparisons were performed. RESULTS Cerebellar and corticospinal tracts were successfully reconstructed in all subjects. Significant differences in diffusion MR imaging scalars were found among groups, with fractional anisotropy explaining the highest variability. All groups with cerebellar pathologies showed lower fractional anisotropy compared with controls, with the exception of cerebellar hypoplasia. CONCLUSIONS This study shows the feasibility of constrained spherical deconvolution to reconstruct cerebellar and corticospinal tracts in children with morphologic cerebellar pathologies. In addition, the preliminary results show the potential utility of quantitative analysis of scalars of the cerebellar white matter tracts in children with cerebellar pathologies such as cerebellar hypoplasia and atrophy. Further studies with larger cohorts of patients are needed to validate the clinical significance of our preliminary results.
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Affiliation(s)
- S Fiori
- From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy
| | - A Poretti
- Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - K Pannek
- Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia Department of Computing (K.P.), Imperial College London, London, United Kingdom
| | - R Del Punta
- From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy
| | - R Pasquariello
- From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy
| | - M Tosetti
- From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy
| | - A Guzzetta
- From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy
| | - S Rose
- Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia
| | - G Cioni
- From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy
| | - R Battini
- From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy
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Travis KE, Leitner Y, Ben-Shachar M, Yeom KW, Feldman HM. Case Series: Fractional Anisotropy Profiles of the Cerebellar Peduncles in Adolescents Born Preterm With Ventricular Dilation. J Child Neurol 2016; 31:321-7. [PMID: 26116381 PMCID: PMC4691425 DOI: 10.1177/0883073815592223] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Accepted: 05/06/2015] [Indexed: 11/17/2022]
Abstract
This case series assesses white matter microstructure of the cerebellar peduncles in 4 adolescents born preterm with enlarged ventricles and reduced white matter volume in the cerebrum but no apparent injury to the cerebellum. Subjects (ages 12-17 years, gestational age 26-32 weeks, birth weight 825-2211 g) were compared to a normative sample of 19 full-term controls (9-17 years, mean gestational age 39 weeks, mean birth weight 3154 g). Tract profiles for each of the cerebellar peduncles were generated by calculating fractional anisotropy at 30 points along the central portion of each tract. One or more case subjects exhibited higher fractional anisotropy beyond the 90th percentile in the inferior, middle, and superior cerebellar peduncles. Findings demonstrate that differences in cerebellar white matter microstructure can be detected in the absence of macrostructural cerebellar abnormalities.
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Affiliation(s)
- Katherine E Travis
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Yael Leitner
- Child Development Center, Tel Aviv Sourasky Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Michal Ben-Shachar
- The Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel Department of English Literature and Linguistics, Bar Ilan University, Ramat Gan, Israel
| | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Heidi M Feldman
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
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24
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Abnormal white matter properties in adolescent girls with anorexia nervosa. NEUROIMAGE-CLINICAL 2015; 9:648-59. [PMID: 26740918 PMCID: PMC4644248 DOI: 10.1016/j.nicl.2015.10.008] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 10/13/2015] [Accepted: 10/15/2015] [Indexed: 11/20/2022]
Abstract
Anorexia nervosa (AN) is a serious eating disorder that typically emerges during adolescence and occurs most frequently in females. To date, very few studies have investigated the possible impact of AN on white matter tissue properties during adolescence, when white matter is still developing. The present study evaluated white matter tissue properties in adolescent girls with AN using diffusion MRI with tractography and T1 relaxometry to measure R1 (1/T1), an index of myelin content. Fifteen adolescent girls with AN (mean age = 16.6 years ± 1.4) were compared to fifteen age-matched girls with normal weight and eating behaviors (mean age = 17.1 years ± 1.3). We identified and segmented 9 bilateral cerebral tracts (18) and 8 callosal fiber tracts in each participant's brain (26 total). Tract profiles were generated by computing measures for fractional anisotropy (FA) and R1 along the trajectory of each tract. Compared to controls, FA in the AN group was significantly decreased in 4 of 26 white matter tracts and significantly increased in 2 of 26 white matter tracts. R1 was significantly decreased in the AN group compared to controls in 11 of 26 white matter tracts. Reduced FA in combination with reduced R1 suggests that the observed white matter differences in AN are likely due to reductions in myelin content. For the majority of tracts, group differences in FA and R1 did not occur within the same tract. The present findings have important implications for understanding the neurobiological factors underlying white matter changes associated with AN and invite further investigations examining associations between white matter properties and specific physiological, cognitive, social, or emotional functions affected in AN. AN girls had both increased and decreased FA in 4 white matter tracts. AN girls had increased R1 in 11 white matter tracts. White matter differences in AN are likely related to changes in myelin content.
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