1
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Beran M, van Gennip AC, Stehouwer CD, Jansen JF, Gupta MD, Houben AJ, Berendschot TT, Webers CA, Wesselius A, Schalkwijk CG, Backes WH, de Jong JJ, van der Kallen CJ, van Greevenbroek MM, Köhler S, Vonk JM, Geerlings MI, Schram MT, van Sloten TT. Microvascular Dysfunction and Whole-Brain White Matter Connectivity: The Maastricht Study. J Am Heart Assoc 2024; 13:e9112. [PMID: 38240213 PMCID: PMC11056139 DOI: 10.1161/jaha.123.031573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/16/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Microvascular dysfunction is involved in the development of various cerebral disorders. It may contribute to these disorders by disrupting white matter tracts and altering brain connectivity, but evidence is scarce. We investigated the association between multiple biomarkers of microvascular function and whole-brain white matter connectivity. METHODS AND RESULTS Cross-sectional data from The Maastricht Study, a Dutch population-based cohort (n=4326; age, 59.4±8.6 years; 49.7% women). Measures of microvascular function included urinary albumin excretion, central retinal arteriolar and venular calibers, composite scores of flicker light-induced retinal arteriolar and venular dilation, and plasma biomarkers of endothelial dysfunction (intercellular adhesion molecule-1, vascular cell adhesion molecule-1, E-selectin, and von Willebrand factor). White matter connectivity was calculated from 3T diffusion magnetic resonance imaging to quantify the number (average node degree) and organization (characteristic path length, global efficiency, clustering coefficient, and local efficiency) of white matter connections. A higher plasma biomarkers of endothelial dysfunction composite score was associated with a longer characteristic path length (β per SD, 0.066 [95% CI, 0.017-0.114]) after adjustment for sociodemographic, lifestyle, and cardiovascular factors but not with any of the other white matter connectivity measures. After multiple comparison correction, this association was nonsignificant. None of the other microvascular function measures were associated with any of the connectivity measures. CONCLUSIONS These findings suggest that microvascular dysfunction as measured by indirect markers is not associated with whole-brain white matter connectivity.
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Affiliation(s)
- Magdalena Beran
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
- Department of Epidemiology and Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - April C.E. van Gennip
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Coen D.A. Stehouwer
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Jacobus F.A. Jansen
- School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- Department of Electrical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
| | - Monideepa D. Gupta
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Alfons J.H.M. Houben
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Tos T.J.M. Berendschot
- School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
- Department of OphthalmologyMaastricht University Medical Centre (MUMC+)MaastrichtThe Netherlands
| | - Carroll A.B. Webers
- School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
- Department of OphthalmologyMaastricht University Medical Centre (MUMC+)MaastrichtThe Netherlands
| | - Anke Wesselius
- Department of EpidemiologyMaastricht UniversityMaastrichtThe Netherlands
| | - Casper G. Schalkwijk
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Walter H. Backes
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
- School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
| | - Joost J.A. de Jong
- School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
- Department of Radiology and Nuclear MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
| | - Carla J.H. van der Kallen
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Marleen M.J. van Greevenbroek
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Sebastian Köhler
- School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
- Alzheimer Centrum LimburgMaastricht University Medical Center+ (MUMC+)MaastrichtThe Netherlands
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine & Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | - Jet M.J. Vonk
- Department of Epidemiology and Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtThe Netherlands
- Memory and Aging Center, Department of NeurologyUniversity of California San FranciscoSan FranciscoCAUSA
| | - Mirjam I. Geerlings
- Department of Epidemiology and Global Health, Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtThe Netherlands
- Department of General PracticeAmsterdam UMC, University of AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health, Aging & Later Life, and Personalized MedicineAmsterdamThe Netherlands
- Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and SleepAmsterdamThe Netherlands
| | - Miranda T. Schram
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
- School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
- Heart and Vascular Centre, Maastricht University Medical CentreMaastrichtThe Netherlands
| | - Thomas T. van Sloten
- Department of Internal MedicineMaastricht University Medical Centre+ (MUMC+)MaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
- Department of Vascular MedicineUniversity Medical Center UtrechtUtrechtThe Netherlands
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2
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Ng S, Duffau H. Brain Plasticity Profiling as a Key Support to Therapeutic Decision-Making in Low-Grade Glioma Oncological Strategies. Cancers (Basel) 2023; 15:3698. [PMID: 37509359 PMCID: PMC10378506 DOI: 10.3390/cancers15143698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
The ability of neural circuits to compensate for damage to the central nervous system is called postlesional plasticity. In diffuse low-grade gliomas (LGGs), a crosstalk between the brain and the tumor activates modulations of plasticity, as well as tumor proliferation and migration, by means of paracrine and electrical intercommunications. Such adaptative mechanisms have a major impact on the benefits and risks of oncological treatments but are still disregarded by current neuro-oncological guidelines. In this review, the authors first aimed to highlight clinical, radiological, and oncological markers that robustly reflect the plasticity potentials and limitations in LGG patients, including the location of the tumor and the degree of critical white matter tract infiltration, the velocity of tumor expansion, and the reactional changes of neuropsychological performances over time. Second, the interactions between the potential/limitations of cerebral plasticity and the efficacy/tolerance of treatment options (i.e., surgery, chemotherapy, and radiotherapy) are reviewed. Finally, a longitudinal and multimodal treatment approach accounting for the evolutive profiles of brain plasticity is proposed. Such an approach integrates personalized predictive models of plasticity potentials with a step-by-step therapeutic decision making and supports onco-functional balanced strategies in patients with LGG, with the ultimate aim of optimizing overall survival and quality of life.
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Affiliation(s)
- Sam Ng
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, 34295 Montpellier, France
- Institute of Functional Genomics, University of Montpellier, Centre National de le Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale 1191, 34094 Montpellier, France
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, 34295 Montpellier, France
- Institute of Functional Genomics, University of Montpellier, Centre National de le Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale 1191, 34094 Montpellier, France
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3
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Gagnon A, Grenier G, Bocti C, Gillet V, Lepage JF, Baccarelli AA, Posner J, Descoteaux M, Takser L. White matter microstructural variability linked to differential attentional skills and impulsive behavior in a pediatric population. Cereb Cortex 2023; 33:1895-1912. [PMID: 35535719 PMCID: PMC9977366 DOI: 10.1093/cercor/bhac180] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/19/2022] [Accepted: 04/20/2022] [Indexed: 11/14/2022] Open
Abstract
Structural and functional magnetic resonance imaging (MRI) studies have suggested a neuroanatomical basis that may underly attention-deficit-hyperactivity disorder (ADHD), but the anatomical ground truth remains unknown. In addition, the role of the white matter (WM) microstructure related to attention and impulsivity in a general pediatric population is still not well understood. Using a state-of-the-art structural connectivity pipeline based on the Brainnetome atlas extracting WM connections and its subsections, we applied dimensionality reduction techniques to obtain biologically interpretable WM measures. We selected the top 10 connections-of-interests (located in frontal, parietal, occipital, and basal ganglia regions) with robust anatomical and statistical criteria. We correlated WM measures with psychometric test metrics (Conner's Continuous Performance Test 3) in 171 children (27 Dx ADHD, 3Dx ASD, 9-13 years old) from the population-based GESTation and Environment cohort. We found that children with lower microstructural complexity and lower axonal density show a higher impulsive behavior on these connections. When segmenting each connection in subsections, we report WM alterations localized in one or both endpoints reflecting a specific localization of WM alterations along each connection. These results provide new insight in understanding the neurophysiology of attention and impulsivity in a general population.
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Affiliation(s)
- Anthony Gagnon
- Department of Pediatrics, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - Gabrielle Grenier
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Christian Bocti
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
- Research Center on Aging, CIUSSS de l'Estrie-CHUS, Sherbrooke, Quebec, Canada
| | - Virginie Gillet
- Department of Pediatrics, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | | | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | | | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Quebec, Canada
- Imeka Solutions Inc, Sherbrooke, QC, Canada
| | - Larissa Takser
- Department of Pediatrics, University of Sherbrooke, Sherbrooke, Quebec, Canada
- Department of Psychiatry, University of Sherbrooke, Sherbrooke, Québec, Canada
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4
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Wang C, La Barrie DL, Powers A, Stenson AF, van Rooij SJH, Stevens JS, Jovanovic T, Bradley B, McGee RE, Fani N. Associations of maternal emotion regulation with child white matter connectivity in Black American mother-child dyads. Dev Psychobiol 2022; 64:e22303. [PMID: 36282745 PMCID: PMC9608357 DOI: 10.1002/dev.22303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 04/13/2022] [Accepted: 05/21/2022] [Indexed: 01/27/2023]
Abstract
Parental emotion regulation plays a major role in parent-child interactions, and in turn, neural plasticity in children, particularly during sensitive developmental periods. However, little is known about how parental emotion dysregulation is associated with variation in children's brain structure, which was the goal of this study. Forty-five Black American mother-child dyads were recruited from an intergenerational trauma study; emotion regulation in mothers and their children (age 8-13 years) was assessed. Diffusion-weighted images were collected in children; deterministic tractography was used to reconstruct pathways of relevance to emotion regulation. Metrics of white matter connectivity [fractional anisotropy (FA), mean diffusivity (MD)] were extracted for pathways. Socio-economic variables were also included in statistical models. Maternal emotion dysregulation was the strongest predictor of child fornix MD (r = .35, p = .001), indicating that more severe emotion dysregulation in mothers corresponded with lower fornix connectivity in children. Maternal impulsivity was a strong predictor of child fornix MD (r = .51, p < .001). Maternal emotion dysregulation may adversely influence connectivity of the child.s fornix, a hippocampal-striatal pathway implicated in reward processes; these associations remained even after accounting for other socio-environmental factors. Dysregulated maternal emotions may uniquely impact children's adaptation to trauma/stress by affecting networks that support appetitive processing.
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Affiliation(s)
- Chenyang Wang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | | | - Abigail Powers
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Anais F Stenson
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University, Detroit, Michigan, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University, Detroit, Michigan, USA
| | - Bekh Bradley
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia, USA
| | - Robin E McGee
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
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5
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Zhao H, Wen W, Cheng J, Jiang J, Kochan N, Niu H, Brodaty H, Sachdev P, Liu T. An accelerated degeneration of white matter microstructure and networks in the nondemented old-old. Cereb Cortex 2022; 33:4688-4698. [PMID: 36178117 DOI: 10.1093/cercor/bhac372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/26/2022] [Accepted: 08/27/2022] [Indexed: 11/12/2022] Open
Abstract
The nondemented old-old over the age of 80 comprise a rapidly increasing population group; they can be regarded as exemplars of successful aging. However, our current understanding of successful aging in advanced age and its neural underpinnings is limited. In this study, we measured the microstructural and network-based topological properties of brain white matter using diffusion-weighted imaging scans of 419 community-dwelling nondemented older participants. The participants were further divided into 230 young-old (between 72 and 79, mean = 76.25 ± 2.00) and 219 old-old (between 80 and 92, mean = 83.98 ± 2.97). Results showed that white matter connectivity in microstructure and brain networks significantly declined with increased age and that the declined rates were faster in the old-old compared with young-old. Mediation models indicated that cognitive decline was in part through the age effect on the white matter connectivity in the old-old but not in the young-old. Machine learning predictive models further supported the crucial role of declines in white matter connectivity as a neural substrate of cognitive aging in the nondemented older population. Our findings shed new light on white matter connectivity in the nondemented aging brains and may contribute to uncovering the neural substrates of successful brain aging.
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Affiliation(s)
- Haichao Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Jian Cheng
- School of Computer Science and Engineering, Beihang University, Beijing, China
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
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6
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Seer C, Adab HZ, Sidlauskaite J, Dhollander T, Chalavi S, Gooijers J, Sunaert S, Swinnen SP. Bridging cognition and action: executive functioning mediates the relationship between white matter fiber density and complex motor abilities in older adults. Aging (Albany NY) 2022; 14:7263-7281. [PMID: 35997651 PMCID: PMC9550248 DOI: 10.18632/aging.204237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/11/2022] [Indexed: 11/25/2022]
Abstract
Aging may be associated with motor decline that is attributed to deteriorating white matter microstructure of the corpus callosum (CC), among other brain-related factors. Similar to motor functioning, executive functioning (EF) typically declines during aging, with age-associated changes in EF likewise being linked to altered white matter connectivity in the CC. Given that both motor and executive functions rely on white matter connectivity via the CC, and that bimanual control is thought to rely on EF, the question arises whether EF can at least party account for the proposed link between CC-connectivity and motor control in older adults. To address this, diffusion magnetic resonance imaging data were obtained from 84 older adults. A fiber-specific approach was used to obtain fiber density (FD), fiber cross-section (FC), and a combination of both metrics in eight transcallosal white matter tracts. Motor control was assessed using a bimanual coordination task. EF was determined by a domain-general latent EF-factor extracted from multiple EF tasks, based on a comprehensive test battery. FD of transcallosal prefrontal fibers was associated with cognitive and motor performance. EF partly accounted for the relationship between FD of prefrontal transcallosal pathways and motor control. Our results underscore the multidimensional interrelations between callosal white matter connectivity (especially in prefrontal brain regions), EF across multiple domains, and motor control in the older population. They also highlight the importance of considering EF when investigating brain-motor behavior associations in older adults.
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Affiliation(s)
- Caroline Seer
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,KU Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Hamed Zivari Adab
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,KU Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Justina Sidlauskaite
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,KU Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | | | - Sima Chalavi
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,KU Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Jolien Gooijers
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,KU Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- Department of Imaging and Pathology, KU Leuven and University Hospital Leuven (UZ Leuven), Leuven, Belgium
| | - Stephan P Swinnen
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.,KU Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
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7
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Li M, Wang Y, Tachibana M, Rahman S, Kagitani-Shimono K. Atypical structural connectivity of language networks in autism spectrum disorder: A meta-analysis of diffusion tensor imaging studies. Autism Res 2022; 15:1585-1602. [PMID: 35962721 PMCID: PMC9546367 DOI: 10.1002/aur.2789] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/25/2022] [Indexed: 11/20/2022]
Abstract
Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta‐analysis aimed to comprehensively elucidate the abnormality in language‐related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta‐regression analysis. Thirty‐three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta‐analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language‐associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under‐connectivity hypothesis and demonstrate the widespread abnormal microstructure of language‐related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere.
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Affiliation(s)
- Min Li
- Department of Child Development, United Graduate School of Child Development, Osaka University, Suita, Osaka, Japan
| | - Yide Wang
- Department of Child Development, United Graduate School of Child Development, Osaka University, Suita, Osaka, Japan
| | - Masaya Tachibana
- Department of Child Development, United Graduate School of Child Development, Osaka University, Suita, Osaka, Japan
| | - Shafiur Rahman
- Department of Child Development, United Graduate School of Child Development, Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu, Shizuoka, Japan.,Research Center for Child Mental Development, Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu, Shizuoka, Japan
| | - Kuriko Kagitani-Shimono
- Department of Child Development, United Graduate School of Child Development, Osaka University, Suita, Osaka, Japan
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8
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Duffau H. Dynamic Interplay between Lower-Grade Glioma Instability and Brain Metaplasticity: Proposal of an Original Model to Guide the Therapeutic Strategy. Cancers (Basel) 2021; 13:4759. [PMID: 34638248 PMCID: PMC8507523 DOI: 10.3390/cancers13194759] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 11/16/2022] Open
Abstract
The behavior of lower-grade glioma (LGG) is changing over time, spontaneously, and in reaction to treatments. First, due to genomic instability and clonal expansion, although LGG progresses slowly during the early period of the disease, its growth velocity will accelerate when this tumor will transform to a higher grade of malignancy. Furthermore, its pattern of progression may change following therapy, e.g., by switching from a proliferative towards a more diffuse profile, in particular after surgical resection. In parallel to this plasticity of the neoplasm, the brain itself is constantly adapting to the tumor and possible treatment(s) thanks to reconfiguration within and between neural networks. Furthermore, the pattern of reallocation can also change, especially by switching from a perilesional to a contrahemispheric functional reorganization. Such a reorientation of mechanisms of cerebral reshaping, related to metaplasticity, consists of optimizing the efficiency of neural delocalization in order to allow functional compensation by adapting over time the profile of circuits redistribution to the behavioral modifications of the glioma. This interplay between LGG mutations and reactional connectomal instability leads to perpetual modulations in the glioma-neural equilibrium, both at ultrastructural and macroscopic levels, explaining the possible preservation of quality of life despite tumor progression. Here, an original model of these dynamic interactions across LGG plasticity and the brain metanetwork is proposed to guide a tailored step-by-step individualized therapeutic strategy over years. Integration of these new parameters, not yet considered in the current guidelines, might improve management of LGG patients.
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Affiliation(s)
- Hugues Duffau
- Department of Neurosurgery, Montpellier University Medical Center, 34295 Montpellier, France; ; Tel.: +33-4-67-33-66-12
- Institute of Functional Genomics, University of Montpellier, 34295 Montpellier, France
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9
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Kim GW, Park SE, Park K, Jeong GW. White Matter Connectivity and Gray Matter Volume Changes Following Donepezil Treatment in Patients With Mild Cognitive Impairment: A Preliminary Study Using Probabilistic Tractography. Front Aging Neurosci 2021; 12:604940. [PMID: 33796017 PMCID: PMC8007874 DOI: 10.3389/fnagi.2020.604940] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
The donepezil treatment is associated with improved cognitive performance in patients with mild cognitive impairment (MCI), and its clinical effectiveness is well-known. However, the impact of the donepezil treatment on the enhanced white matter connectivity in MCI is still unclear. The purpose of this study was to evaluate the thalamo-cortical white matter (WM) connectivity and cortical thickness and gray matter (GM) volume changes in the cortical regions following donepezil treatment in patients with MCI using probabilistic tractography and voxel-based morphometry. Patients with MCI underwent magnetic resonance examinations before and after 6-month donepezil treatment. Compared with healthy controls, patients with MCI showed decreased WM connectivity of the thalamo-lateral prefrontal cortex, as well as reduced thickness in the medial/lateral orbitofrontal cortices (p < 0.05). The thalamo-lateral temporal cortex connectivity in patients with MCI was negatively correlated with Alzheimer's disease assessment scale-cognitive subscale (ADAS-cog) (r = −0.76, p = 0.01). The average score of the Korean version of the mini-mental state examination (K-MMSE) in patients with MCI was improved by 7.9% after 6-months of donepezil treatment. However, the patterns of WM connectivity and brain volume change in untreated and treated patients were not significantly different from each other, resulting from multiple comparison corrections. These findings will be valuable in understanding the neurophysiopathological mechanism on MCI as a prodromal phase of Alzheimer's disease in connection with brain functional connectivity and morphometric change.
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Affiliation(s)
- Gwang-Won Kim
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, South Korea.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Shin-Eui Park
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, South Korea
| | - Kwangsung Park
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, South Korea.,Department of Urology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea
| | - Gwang-Woo Jeong
- Department of Radiology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, South Korea
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10
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Huang C, Kritikos M, Clouston SAP, Deri Y, Serrano-Sosa M, Bangiyev L, Santiago-Michels S, Gandy S, Sano M, Bromet EJ, Luft BJ. White Matter Connectivity in Incident Mild Cognitive Impairment: A Diffusion Spectrum Imaging Study of World Trade Center Responders at Midlife. J Alzheimers Dis 2021; 80:1209-1219. [PMID: 33646156 PMCID: PMC8150516 DOI: 10.3233/jad-201237] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: Individuals who participated in response efforts at the World Trade Center (WTC) following 9/11/2001 are experiencing elevated incidence of mild cognitive impairment (MCI) at midlife. Objective: We hypothesized that white matter connectivity measured using diffusion spectrum imaging (DSI) would be restructured in WTC responders with MCI versus cognitively unimpaired responders. Methods: Twenty responders (mean age 56; 10 MCI/10 unimpaired) recruited from an epidemiological study were characterized using NIA-AA criteria alongside controls matched on demographics (age/sex/occupation/race/education). Axial DSI was acquired on a 3T Siemen’s Biograph mMR scanner (12-channel head coil) using a multi-band diffusion sequence. Connectometry examined whole-brain tract-level differences in white matter integrity. Fractional anisotropy (FA), mean diffusivity (MD), and quantified anisotropy were extracted for region of interest (ROI) analyses using the Desikan-Killiany atlas. Results: Connectometry identified both increased and decreased connectivity within regions of the brains of responders with MCI identified in the corticothalamic pathway and cortico-striatal pathway that survived adjustment for multiple comparisons. MCI was also associated with higher FA values in five ROIs including in the rostral anterior cingulate; lower MD values in four ROIs including the left rostral anterior cingulate; and higher MD values in the right inferior circular insula. Analyses by cognitive domain revealed nominal associations in domains of response speed, verbal learning, verbal retention, and visuospatial learning. Conclusions: WTC responders with MCI at midlife showed early signs of neurodegeneration characterized by both increased and decreased white matter diffusivity in regions commonly affected by early-onset Alzheimer’s disease.
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Affiliation(s)
- Chuan Huang
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Minos Kritikos
- Program in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Sean A P Clouston
- Program in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Yael Deri
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
| | - Mario Serrano-Sosa
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Lev Bangiyev
- Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Stephanie Santiago-Michels
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
| | - Sam Gandy
- Center for Cognitive Health and NFL Neurological Care, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mount Sinai Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mary Sano
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.,Center for Cognitive Health and NFL Neurological Care, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Evelyn J Bromet
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Benjamin J Luft
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
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11
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Lee WJ, Yoon CW, Kim SW, Jeong HJ, Seo S, Na DL, Noh Y, Seong JK. Effects of Alzheimer's and Vascular Pathologies on Structural Connectivity in Early- and Late-Onset Alzheimer's Disease. Front Neurosci 2021; 15:606600. [PMID: 33664644 PMCID: PMC7921324 DOI: 10.3389/fnins.2021.606600] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 01/11/2021] [Indexed: 11/13/2022] Open
Abstract
Early- and late-onset Alzheimer's disease (AD) patients often exhibit distinct features. We sought to compare overall white matter connectivity and evaluate the pathological factors (amyloid, tau, and vascular pathologies) that affect the disruption of connectivity in these two groups. A total of 50 early- and 38 late-onset AD patients, as well as age-matched cognitively normal participants, were enrolled and underwent diffusion-weighted magnetic resonance imaging to construct fractional anisotropy-weighted white matter connectivity maps. [18F]-THK5351 PET, [18F]-Flutemetamol PET, and magnetic resonance imaging were used for the evaluation of tau and related astrogliosis, amyloid, and small vessel disease markers (lacunes and white matter hyperintensities). Cluster-based statistics was performed for connectivity comparisons and correlation analysis between connectivity disruption and the pathological markers. Both patient groups exhibited significantly disrupted connectivity compared to their control counterparts with distinct patterns. Only THK retention was related to connectivity disruption in early-onset AD patients, and this disruption showed correlations with most cognitive scores, while late-onset AD patients had disrupted connectivity correlated with amyloid deposition, white matter hyperintensities, and lacunes in which only a few cognitive scores showed associations. These findings suggest that the pathogenesis of connectivity disruption and its effects on cognition are distinct between EOAD and LOAD.
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Affiliation(s)
- Wha Jin Lee
- School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Cindy W Yoon
- Department of Neurology, School of Medicine, Inha University, Incheon, South Korea
| | - Sung-Woo Kim
- School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Hye Jin Jeong
- Neuroscience Research Institute, Gachon University, Incheon, South Korea
| | - Seongho Seo
- Department of Neuroscience, College of Medicine, Gachon University, Incheon, South Korea.,Department of Electronic Engineering, Pai Chai University, Daejeon, South Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Young Noh
- Department of Neurology, Gil Medical Center, College of Medicine, Gachon University, Incheon, South Korea.,Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences & Technology (GAIHST), Gachon University, Incheon, South Korea
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, South Korea.,Department of Artificial Intelligence, Korea University, Seoul, South Korea.,Interdisciplinary Program in Precision Public Health, Korea University, Seoul, South Korea
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12
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An I, Choi TK, Bang M, Lee SH. White Matter Correlates of Hostility and Aggression in the Visuospatial Function Network in Patients With Schizophrenia. Front Psychiatry 2021; 12:734488. [PMID: 34690840 PMCID: PMC8529184 DOI: 10.3389/fpsyt.2021.734488] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/07/2021] [Indexed: 11/26/2022] Open
Abstract
Background: Violent acts in patients with schizophrenia are often associated with their hostility and aggression levels. Poor visuospatial processing has been suggested as a possible risk factor of violence in schizophrenia. However, studies investigating the relationship between hostility, aggression, and the visuospatial function have been lacking. Here, we aimed to investigate brain dysconnectivity associated with hostility and aggression in schizophrenia, particularly focusing on the visuospatial function network. Methods: Eighty-eight participants with schizophrenia and 42 healthy controls were enrolled. The visuospatial function network regions of interest were analyzed using Tract-Based Spatial Statistics. The hostility item from the Positive and Negative Syndrome Scale (PANSS), aggressive, and agitated behavior item from the Scale for the Assessment of Positive Symptoms (SAPS), and the Rey Complex Figure Test (R-CFT) were measured. Results: Among the participants with schizophrenia, the SAPS aggressive and agitated behavior scores were significantly correlated with fractional anisotropies (FAs) of the white matter regions in the splenium of the corpus callosum (CC), left posterior thalamic radiations (PTR), and left posterior corona radiata (PCR). Exploratory correlational analysis revealed significant negative correlations between FAs of the splenium of the CC and R-CFT copy and immediate recall scores. In addition, three regions including CC, PTR, and PCR that significantly correlated with the aggression scores showed significant correlations with the total PANSS scores. Conclusion: Our main finding suggests that aggression of patients with schizophrenia may be associated with poor visuospatial ability and underlying white matter dysconnectivity. These may help enhance understanding aggression in patients with schizophrenia.
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Affiliation(s)
- Iseul An
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea
| | - Tai Kiu Choi
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.,Clinical Counseling Psychology Graduate School, CHA University, Seongnam, South Korea
| | - Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.,Department of Clinical Pharmacology and Therapeutics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea
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13
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Li M, Zhao C, Xie S, Liu X, Zhao Q, Zhang Z, Gong G. Effects of hypogonadism on brain development during adolescence in girls with Turner syndrome. Hum Brain Mapp 2019; 40:4901-4911. [PMID: 31389646 DOI: 10.1002/hbm.24745] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 07/18/2019] [Accepted: 07/21/2019] [Indexed: 01/19/2023] Open
Abstract
Gonadal steroids play an important role in brain development, particularly during puberty. Girls with Turner syndrome (TS), a genetic disorder characterized by the absence of all or part of the second X chromosome, mostly present a loss of ovarian function and estrogen deficiency, as well as neuroanatomical abnormalities. However, few studies have attempted to isolate the indirect effects of hormones from the direct genetic effects of X chromosome insufficiency. Brain structural (i.e., gray matter [GM] morphology and white matter [WM] connectivity) and functional phenotypes (i.e., resting-state functional measures) were investigated in 23 adolescent girls with TS using multimodal MRI to assess the role of hypogonadism in brain development in TS. Specifically, all girls with TS were divided into a hormonally subnormal group and an abnormal subgroup according to their serum follicle-stimulating hormone (FSH) levels, with the karyotypes approximately matched between the two groups. Statistical analyses revealed significant effects of the "group-by-age" interaction on GM volume around the left medial orbitofrontal cortex and WM diffusion parameters around the bilateral corticospinal tract, anterior thalamic radiation, left superior longitudinal fasciculus, and cingulum bundle, but no significant "group-by-age" or group differences were observed in resting-state functional measures. Based on these findings, estrogen deficiency has a nontrivial impact on the development of the brain structure during adolescence in girls with TS. Our present study provides novel insights into the mechanism by which hypogonadism influences brain development during adolescence in girls with TS, and highlights the important role of estrogen replacement therapy in treating TS.
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Affiliation(s)
- Min Li
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Chenxi Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Sheng Xie
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Xiwei Liu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Qiuling Zhao
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Zhixin Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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14
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Hoagey DA, Rieck JR, Rodrigue KM, Kennedy KM. Joint contributions of cortical morphometry and white matter microstructure in healthy brain aging: A partial least squares correlation analysis. Hum Brain Mapp 2019; 40:5315-5329. [PMID: 31452304 PMCID: PMC6864896 DOI: 10.1002/hbm.24774] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 06/30/2019] [Accepted: 07/29/2019] [Indexed: 01/10/2023] Open
Abstract
Cortical atrophy and degraded axonal health have been shown to coincide during normal aging; however, few studies have examined these measures together. To lend insight into both the regional specificity and the relative timecourse of structural degradation of these tissue compartments across the adult lifespan, we analyzed gray matter (GM) morphometry (cortical thickness, surface area, volume) and estimates of white matter (WM) microstructure (fractional anisotropy, mean diffusivity) using traditional univariate and more robust multivariate techniques to examine age associations in 186 healthy adults aged 20–94 years old. Univariate analysis of each tissue type revealed that negative age associations were largest in frontal GM and WM tissue and weaker in temporal, cingulate, and occipital regions, representative of not only an anterior‐to‐posterior gradient, but also a medial‐to‐lateral gradient. Multivariate partial least squares correlation (PLSC) found the greatest covariance between GM and WM was driven by the relationship between WM metrics in the anterior corpus callosum and projections of the genu, anterior cingulum, and fornix; and with GM thickness in parietal and frontal regions. Surface area was far less susceptible to age effects and displayed less covariance with WM metrics, while regional volume covariance patterns largely mirrored those of cortical thickness. Results support a retrogenesis‐like model of aging, revealing a coupled relationship between frontal and parietal GM and the underlying WM, which evidence the most protracted development and the most vulnerability during healthy aging.
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Affiliation(s)
- David A Hoagey
- Center for Vital Longevity, The University of Texas at Dallas, School of Behavioral and Brain Sciences, Dallas, Texas
| | - Jenny R Rieck
- Rotman Research Institute, Baycrest Health Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Karen M Rodrigue
- Center for Vital Longevity, The University of Texas at Dallas, School of Behavioral and Brain Sciences, Dallas, Texas
| | - Kristen M Kennedy
- Center for Vital Longevity, The University of Texas at Dallas, School of Behavioral and Brain Sciences, Dallas, Texas
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15
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Ferro D, Heinen R, de Brito Robalo B, Kuijf H, Biessels GJ, Reijmer Y. Cortical Microinfarcts and White Matter Connectivity in Memory Clinic Patients. Front Neurol 2019; 10:571. [PMID: 31231301 PMCID: PMC6560058 DOI: 10.3389/fneur.2019.00571] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 05/15/2019] [Indexed: 02/04/2023] Open
Abstract
Background and purpose: Cerebral microinfarcts (CMIs) are associated with cognitive impairment and dementia. CMIs might affect cognitive performance through disruption of cerebral networks. We investigated in memory clinic patients whether cortical CMIs are clustered in specific brain regions and if presence of cortical CMIs is associated with reduced white matter (WM) connectivity in tracts projecting to these regions. Methods:164 memory clinic patients with vascular brain injury with a mean age of 72 ± 11 years (54% male) were included. All underwent 3 tesla MRI, including a diffusion MRI and cognitive testing. Cortical CMIs were rated according to established criteria and their spatial location was marked. Diffusion imaging-based tractography was used to reconstruct WM connections and voxel based analysis (VBA) to assess integrity of WM directly below the cortex. WM connectivity and integrity were compared between patients with and without cortical CMIs for the whole brain and regions with a high CMI burden. Results:30 patients (18%) had at least 1 cortical CMI [range 1–46]. More than 70% of the cortical CMIs were located in the superior frontal, middle frontal, and pre- and postcentral brain regions (covering 16% of the cortical surface). In these high CMI burden regions, presence of cortical CMIs was not associated with WM connectivity after correction for conventional neuroimaging markers of vascular injury. WM connectivity in the whole brain and WM voxels directly underneath the cortical surface did not differ between patients with and without cortical CMIs. Conclusion:Cortical CMIs displayed a strong local clustering in highly interconnected frontal, pre- and postcentral brain regions. Nevertheless, WM connections projecting to these regions were not disproportionally impaired in patients with compared to patients without cortical CMIs. Alternative mechanisms, such as focal disturbances in cortical structure and functioning, may better explain CMI associated cognitive impairment.
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Affiliation(s)
- Doeschka Ferro
- Brain Center, University Medical Center Utrecht, Department of Neurology, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Rutger Heinen
- Brain Center, University Medical Center Utrecht, Department of Neurology, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Bruno de Brito Robalo
- Brain Center, University Medical Center Utrecht, Department of Neurology, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Hugo Kuijf
- Image Sciences Institute, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Geert Jan Biessels
- Brain Center, University Medical Center Utrecht, Department of Neurology, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Yael Reijmer
- Brain Center, University Medical Center Utrecht, Department of Neurology, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
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16
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Gerstenecker A, Hoagey DA, Marson DC, Kennedy KM. White Matter Degradation is Associated with Reduced Financial Capacity in Mild Cognitive Impairment and Alzheimer's Disease. J Alzheimers Dis 2018; 60:537-547. [PMID: 28826185 DOI: 10.3233/jad-170341] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Financial capacity (FC) is a cognitively complex activity of daily living that declines in mild cognitive impairment (MCI) and Alzheimer's disease (AD), limiting an individual's ability to manage one's finances and function independently. The neural underpinnings of this decline in function are poorly understood but likely involve age-related and disease-related degradation across structural networks. The purpose of the current study was to determine if altered white matter integrity is associated with declining FC in persons with MCI and AD compared to older controls. Individuals with MCI due to AD (n = 31), mild dementia (n = 39), and cognitively healthy older adults (n = 60) were administered a neuropsychological battery including the FC Instrument, a performance-based measure of FC. All 130 participants also underwent diffusion tensor imaging (DTI) upon which tract-based spatial statistics were performed. Both FC and white matter integrity decreased in accordance with disease severity with little to no effect in healthy elderly, significant effects in MCI, and greater effects in AD. Regional white matter degradation (increased diffusivities and decreased fractional anisotropy) was associated with reduced FC in both MCI and AD groups even after controlling for age, education, and gender. Specifically, in MCI, decreased fractional anisotropy, but not increased diffusivities, was associated with poorer FC in widespread cingulo-parietal-frontal and temporo-occipital areas. In AD, rather than anisotropy, increased mean and axial diffusivities in anterior cingulate, callosum, and frontal areas associated with poorer FC. These findings suggest a severity gradient of white matter degradation across DTI metrics and AD stages that predict declining financial skill and knowledge.
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Affiliation(s)
- Adam Gerstenecker
- Division of Neuropsychology, Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, USA.,Alzheimer's Disease Center, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - David A Hoagey
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
| | - Daniel C Marson
- Division of Neuropsychology, Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, USA.,Alzheimer's Disease Center, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kristen M Kennedy
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
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17
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Li Y, Fang Y, Wang X, Song L, Huang R, Han Z, Gong G, Bi Y. Connectivity of the ventral visual cortex is necessary for object recognition in patients. Hum Brain Mapp 2018; 39:2786-2799. [PMID: 29575592 DOI: 10.1002/hbm.24040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 01/12/2018] [Accepted: 03/03/2018] [Indexed: 11/06/2022] Open
Abstract
The functional profiles of regions in the ventral occipital-temporal cortex (VTC), a critical region for object visual recognition, are associated with the VTC connectivity patterns to nonvisual regions relevant to the corresponding object domain. However, whether and how whole-brain connections affect recognition behavior remains untested. We directly examined the necessity of VTC connectivity in object recognition behavior by testing 82 patients whose lesion spared relevant VTC regions but affected various white matter (WM) tracts and other regions. In these patients, we extracted the whole-brain anatomical connections of two VTC domain-selective (large manmade objects and animals) clusters with probabilistic tractography, and examined whether such connectivity pattern can predict recognition performance of the corresponding domains with support vector regression (SVR) analysis. We found that the whole-brain anatomical connectivity of large manmade object-specific cluster successfully predicted patients' large object recognition performance but not animal recognition or control tasks, even after we excluded connections with early visual regions. The contributing connections to large object recognition included tracts between VTC-large object cluster and distributed regions both within and beyond the visual cortex (e.g., putamen, superior, and middle temporal gyrus). These results provide causal evidence that the VTC whole-brain anatomical connectivity is necessary for at least certain domains of object recognition behavior.
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Affiliation(s)
- Ye Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,School of Psychology, Beijing Normal University, Beijing, 100875, China
| | - Yuxing Fang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Xiaoying Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Luping Song
- Rehabilitation Medical College of Capital Medical University, Beijing, 100068, China.,Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, 100068, China
| | - Ruiwang Huang
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, 510631, China
| | - Zaizhu Han
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Yanchao Bi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
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18
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Baker CM, Burks JD, Briggs RG, Smitherman AD, Glenn CA, Conner AK, Wu DH, Sughrue ME. The crossed frontal aslant tract: A possible pathway involved in the recovery of supplementary motor area syndrome. Brain Behav 2018; 8:e00926. [PMID: 29541539 PMCID: PMC5840439 DOI: 10.1002/brb3.926] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
INTRODUCTION Supplementary motor area (SMA) syndrome is a constellation of temporary symptoms that may occur following tumors of the frontal lobe. Affected patients develop akinesia and mutism but often recover within weeks to months. With our own case examples and with correlations to fiber tracking validated by gross anatomical dissection as ground truth, we describe a white matter pathway through which recovery may occur. METHODS Diffusion spectrum imaging from the Human Connectome Project was used for tractography analysis. SMA outflow tracts were mapped in both hemispheres using a predefined seeding region. Postmortem dissections of 10 cadaveric brains were performed using a modified Klingler technique to verify the tractography results. RESULTS Two cases were identified in our clinical records in which patients sustained permanent SMA syndrome after complete disconnection of the SMA and corpus callosum (CC). After investigating the postoperative anatomy of these resections, we identified a pattern of nonhomologous connections through the CC connecting the premotor area to the contralateral premotor and SMAs. The transcallosal fibers have projections from the previously described frontal aslant tract (FAT) and thus, we have termed this path the "crossed FAT." CONCLUSIONS We hypothesize that this newly described tract may facilitate recovery from SMA syndrome by maintaining interhemispheric connectivity through the supplementary motor and premotor areas.
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Affiliation(s)
- Cordell M Baker
- Department of Neurosurgery University of Oklahoma Health Sciences Center Oklahoma City OK USA
| | - Joshua D Burks
- Department of Neurosurgery University of Oklahoma Health Sciences Center Oklahoma City OK USA
| | - Robert G Briggs
- Department of Neurosurgery University of Oklahoma Health Sciences Center Oklahoma City OK USA
| | - Adam D Smitherman
- Department of Neurosurgery University of Oklahoma Health Sciences Center Oklahoma City OK USA
| | - Chad A Glenn
- Department of Neurosurgery University of Oklahoma Health Sciences Center Oklahoma City OK USA
| | - Andrew K Conner
- Department of Neurosurgery University of Oklahoma Health Sciences Center Oklahoma City OK USA
| | - Dee H Wu
- Department of Radiological Sciences University of Oklahoma Health Sciences Center Oklahoma City OK USA
| | - Michael E Sughrue
- Department of Neurosurgery University of Oklahoma Health Sciences Center Oklahoma City OK USA
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19
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Li F, Lui S, Yao L, Ji GJ, Liao W, Sweeney JA, Gong Q. Altered White Matter Connectivity Within and Between Networks in Antipsychotic-Naive First-Episode Schizophrenia. Schizophr Bull 2018; 44:409-418. [PMID: 28520931 PMCID: PMC5814807 DOI: 10.1093/schbul/sbx048] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Analyzing the schizophrenia connectome can identify illness-related alterations in connectivity across the brain. An important question that remains unanswered is whether connectivity alterations are already evident at the onset of illness, before treatment with antipsychotic medication and possible influences of neuroprogressive or secondary alterations related to chronic illness duration. In the present study, diffusion tensor imaging and deterministic fiber tractography were performed with 137 antipsychotic-naive first-episode schizophrenia patients and 113 matched healthy controls. Using graph theoretic analysis, groups were compared in global and regional measurements and modularity of white matter connectivity. Compared with controls, the patients showed significantly decreased total connection strength. Furthermore, patients demonstrated significantly decreased connections within and between brain modules. Several local brain regions within association cortex exhibited reduced nodal centralities and abnormal participant coefficient or intra-module degree, some of which were correlated with illness duration and overall functional disability. In never-treated schizophrenia patients, networks showed a less effective organizational pattern of white matter pathways. White matter disconnectivity occurred not only within but also between multiple modules, shedding light on the deficits of anatomical network organization early in the course of schizophrenia.
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Affiliation(s)
- Fei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Li Yao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Gong-Jun Ji
- Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, China,Collaborative Innovation Centre of Neuropsychiatric Disorders and Mental Health, Anhui Province, China
| | - Wei Liao
- Center for Information in BioMedicine, Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China,Department of Psychiatry, Stat Key Lab of Biotherapy, West China Hospital of Sichuan University, Chengdu, China,Department of Psychology, School of Public Administration, Sichuan University, Chengdu, China,Department of Psychoradiology, Chengdu Mental Health Center, Chengdu, China,To whom correspondence should be addressed; Huaxi MR Research Center (HMRRC), Department of Radiology West China Hospital of Sichuan University; #37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; tel: +86-28-8542-3503, fax: +86-28-8542-3503, e-mail:
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20
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Sun Y, Wang GB, Lin QX, Lu L, Shu N, Meng SQ, Wang J, Han HB, He Y, Shi J. Disrupted white matter structural connectivity in heroin abusers. Addict Biol 2017; 22:184-195. [PMID: 26177615 DOI: 10.1111/adb.12285] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Revised: 04/29/2015] [Accepted: 06/17/2015] [Indexed: 01/07/2023]
Abstract
Neurocognitive impairment is one of the factors that put heroin abusers at greater risk for relapse, and deficits in related functional brain connections have been found. However, the alterations in structural brain connections that may underlie these functional and neurocognitive impairments remain largely unknown. In the present study, we investigated topological organization alterations in the structural network of white matter in heroin abusers and examined the relationships between the network changes and clinical measures. We acquired diffusion tensor imaging datasets from 76 heroin abusers and 78 healthy controls. Network-based statistic was applied to identify alterations in interregional white matter connectivity, and graph theory methods were used to analyze the properties of global networks. The participants also completed a battery of neurocognitive measures. One increased subnetwork characterizing widespread abnormalities in structural connectivity was present in heroin users, which mainly composed of default-mode, attentional and visual systems. The connection strength was positively correlated with increases in fractional anisotropy in heroin abusers. Intriguingly, the changes in within-frontal and within-temporal connections in heroin abusers were significantly correlated with daily heroin dosage and impulsivity scores, respectively. These findings suggest that heroin abusers have extensive abnormal white matter connectivity, which may mediate the relationship between heroin dependence and clinical measures. The increase in white matter connectivity may be attributable to the inefficient microstructure integrity of white matter. The present findings extend our understanding of cerebral structural disruptions that underlie neurocognitive and functional deficits in heroin addiction and provide circuit-level markers for this chronic disorder.
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Affiliation(s)
- Yan Sun
- National Institute on Drug Dependence; Peking University; China
- Beijing Key Laboratory on Drug Dependence Research; China
| | - Gui-Bin Wang
- Institute of Materia Medical; Chinese Academy of Medical Sciences and Peking Union Medical College; China
| | - Qi-Xiang Lin
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; China
| | - Lin Lu
- National Institute on Drug Dependence; Peking University; China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research; Peking University; China
- Key Laboratory of Mental Health, Institute of Mental Health; Peking University Sixth Hospital; China
- Beijing Key Laboratory on Drug Dependence Research; China
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; China
| | - Shi-Qiu Meng
- National Institute on Drug Dependence; Peking University; China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research; Peking University; China
- Key Laboratory of Mental Health, Institute of Mental Health; Peking University Sixth Hospital; China
- Beijing Key Laboratory on Drug Dependence Research; China
| | - Jun Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; China
| | - Hong-Bin Han
- Radiology Department; Peking University Third Hospital; China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research; Beijing Normal University; China
| | - Jie Shi
- National Institute on Drug Dependence; Peking University; China
- Beijing Key Laboratory on Drug Dependence Research; China
- The State Key Laboratory of Natural and Biomimetic Drugs
- Key Laboratory for Neuroscience of the Ministry of Education and Ministry of Public Healthy; Beijing China
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21
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Jung NY, Han CE, Kim HJ, Yoo SW, Kim HJ, Kim EJ, Na DL, Lockhart SN, Jagust WJ, Seong JK, Seo SW. Tract-Specific Correlates of Neuropsychological Deficits in Patients with Subcortical Vascular Cognitive Impairment. J Alzheimers Dis 2016; 50:1125-35. [PMID: 26836179 DOI: 10.3233/jad-150841] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The white matter tract-specific correlates of neuropsychological deficits are not fully established in patients with subcortical vascular cognitive impairment (SVCI), where white matter tract damage may be a critical factor in cognitive impairment. The purpose of this study is to investigate the tract-specific correlates of neuropsychological deficits in SVCI patients using tract-specific statistical analysis (TSSA). We prospectively recruited 114 SVCI patients, and 55 age-, gender-, and education-matched individuals with normal cognition (NC). All participants underwent diffusion weighted imaging and neuropsychological testing. We classified tractography results into fourteen major fiber tracts and analyzed group comparison and correlation with cognitive impairments. Relative to NC subjects, SVCI patients showed decreased fractional anisotropy values in bilateral anterior-thalamic radiation, cingulum, superior-longitudinal fasciculus, uncinate fasciculus, corticospinal tract, and left inferior-longitudinal fasciculus. Focal disruptions in specific tracts were associated with specific cognitive impairments. Our findings suggest that disconnection of specific white matter tracts, especially those neighboring and providing connections between gray matter regions important to certain cognitive functions, may contribute to specific cognitive impairments in SVCI.
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Affiliation(s)
- Na-Yeon Jung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Cheol E Han
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, Seoul, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Sang Wook Yoo
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, Seoul, Republic of Korea
| | - Hee-Jong Kim
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, Seoul, Republic of Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Samuel N Lockhart
- Helen Wills Neuroscience Institute, University of California, Berkeley, USA.,Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, USA.,Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
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22
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Rodrigo MJ, León I, Góngora D, Hernández-Cabrera JA, Byrne S, Bobes MA. Inferior fronto-temporo-occipital connectivity: a missing link between maltreated girls and neglectful mothers. Soc Cogn Affect Neurosci 2016; 11:1658-65. [PMID: 27342834 PMCID: PMC5040921 DOI: 10.1093/scan/nsw080] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 05/31/2016] [Indexed: 11/12/2022] Open
Abstract
The neurobiological alterations resulting from adverse childhood experiences that subsequently may lead to neglectful mothering are poorly understood. Maternal neglect of an infant's basic needs is the most prevalent type of child maltreatment. We tested white matter alterations in neglectful mothers, the majority of whom had also suffered maltreatment in their childhood, and compared them to a matched control group. The two groups were discriminated by a structural brain connectivity pattern comprising inferior fronto-temporo-occipital connectivity, which constitutes a major portion of the face-processing network and was indexed by fewer streamlines in neglectful mothers. Mediation and regression analyses showed that fewer streamlines in the right inferior longitudinal fasciculus tract (ILF-R) predicted a poorer quality of mother-child emotional availability observed during cooperative play and that effect depended on the respective interactions with left and right inferior fronto-occipital fasciculi (IFO-R/L), with no significant impact of psychopathological and cognitive conditions. Volume alteration in ILF-R but not in IFO-L modulated the impact of having been maltreated on emotional availability. The findings suggest the altered inferior fronto-temporal-occipital connectivity, affecting emotional visual processing, as a possible common neurological substrate linking a history of childhood maltreatment with maternal neglect.
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Affiliation(s)
- María José Rodrigo
- Facultad of PsicologÚa Instituto Universitario de Neurociencias, Universidad de La Laguna, Campus de Guajara, 38201,Tenerife, Spain
| | - Inmaculada León
- Facultad of PsicologÚa Instituto Universitario de Neurociencias, Universidad de La Laguna, Campus de Guajara, 38201,Tenerife, Spain
| | - Daylin Góngora
- Departamento de Neurociencia Cognitiva, Centro de Neurociencias de Cuba, 11300, La Habana, Cuba
| | - Juan A Hernández-Cabrera
- Facultad of PsicologÚa Instituto Universitario de Neurociencias, Universidad de La Laguna, Campus de Guajara, 38201,Tenerife, Spain
| | - Sonia Byrne
- Facultad of PsicologÚa Instituto Universitario de Neurociencias, Universidad de La Laguna, Campus de Guajara, 38201,Tenerife, Spain
| | - María A Bobes
- Departamento de Neurociencia Cognitiva, Centro de Neurociencias de Cuba, 11300, La Habana, Cuba
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23
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van Bussel FCG, Backes WH, Hofman PAM, van Boxtel MPJ, Schram MT, Stehouwer CDA, Wildberger JE, Jansen JFA. Altered Hippocampal White Matter Connectivity in Type 2 Diabetes Mellitus and Memory Decrements. J Neuroendocrinol 2016; 28:12366. [PMID: 26791354 DOI: 10.1111/jne.12366] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Revised: 12/23/2015] [Accepted: 01/14/2016] [Indexed: 01/06/2023]
Abstract
Type 2 diabetes mellitus is associated with cognitive decrements. Specifically affected cognitive domains are learning and memory, for which the hippocampus plays an essential role. The pathophysiological mechanism remains to be revealed. The present study examined whether local hippocampal microstructure and white matter connectivity are related to type 2 diabetes and memory performance. Forty participants with type 2 diabetes and 38 participants without type 2 diabetes underwent detailed cognitive assessment and 3-Tesla diffusion magnetic resonance imaging (MRI). Diffusion MRI was performed to assess microstructure (fractional anisotropy and mean diffusivity) and white matter connectivity (tract volume) of the hippocampus, which were compared between participants with and without type 2 diabetes. No differences in hippocampal microstructure were observed. Participants with type 2 diabetes had fewer white matter connections between the hippocampus and frontal lobe (P = 0.017). Participants who scored lower on memory function, regardless of type 2 diabetes, had fewer white matter connections between the hippocampus and temporal lobe (P = 0.017). Taken together, type 2 diabetes and memory decrements appear to be associated with altered hippocampal white matter connectivity.
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Affiliation(s)
- F C G van Bussel
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, The Netherlands
| | - W H Backes
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - P A M Hofman
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, The Netherlands
| | - M P J van Boxtel
- School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - M T Schram
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - C D A Stehouwer
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - J E Wildberger
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - J F A Jansen
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNS), Maastricht University Medical Center, Maastricht, The Netherlands
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24
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Herbet G, Maheu M, Costi E, Lafargue G, Duffau H. Mapping neuroplastic potential in brain-damaged patients. Brain 2016; 139:829-44. [PMID: 26912646 DOI: 10.1093/brain/awv394] [Citation(s) in RCA: 185] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Accepted: 11/24/2015] [Indexed: 11/14/2022] Open
Abstract
It is increasingly acknowledged that the brain is highly plastic. However, the anatomic factors governing the potential for neuroplasticity have hardly been investigated. To bridge this knowledge gap, we generated a probabilistic atlas of functional plasticity derived from both anatomic magnetic resonance imaging results and intraoperative mapping data on 231 patients having undergone surgery for diffuse, low-grade glioma. The atlas includes detailed level of confidence information and is supplemented with a series of comprehensive, connectivity-based cluster analyses. Our results show that cortical plasticity is generally high in the cortex (except in primary unimodal areas and in a small set of neural hubs) and rather low in connective tracts (especially associative and projection tracts). The atlas sheds new light on the topological organization of critical neural systems and may also be useful in predicting the likelihood of recovery (as a function of lesion topology) in various neuropathological conditions-a crucial factor in improving the care of brain-damaged patients.
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Affiliation(s)
- Guillaume Herbet
- 1 Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, F-34295 Montpellier, France 2 Institute for Neuroscience of Montpellier, INSERM U1051 (Plasticity of Central Nervous System, Human Stem Cells and Glial Tumors research group), Saint Eloi Hospital, Montpellier University Medical Center, F-34091 Montpellier, France
| | - Maxime Maheu
- 3 Départements d'Etudes Cognitives, Ecole Normale Supérieure, F-75005 Paris, France 4 Faculté des Sciences Fondamentales et Biomédicales, Université Paris Descartes, F-75006 Paris, France
| | - Emanuele Costi
- 5 Department of Neuroscience, Division of Neurosurgery, University of Brescia, Brescia, Italy
| | - Gilles Lafargue
- 6 Univ. Lille, EA 4072 - PSITEC - Psychologie: Interactions, Temps, Émotions, Cognition, F-59000 Lille, France
| | - Hugues Duffau
- 1 Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, F-34295 Montpellier, France 2 Institute for Neuroscience of Montpellier, INSERM U1051 (Plasticity of Central Nervous System, Human Stem Cells and Glial Tumors research group), Saint Eloi Hospital, Montpellier University Medical Center, F-34091 Montpellier, France
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25
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Osipowicz K, Sperling MR, Sharan AD, Tracy JI. Functional MRI, resting state fMRI, and DTI for predicting verbal fluency outcome following resective surgery for temporal lobe epilepsy. J Neurosurg 2015; 124:929-37. [PMID: 26406797 DOI: 10.3171/2014.9.jns131422] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Predicting cognitive function following resective surgery remains an important clinical goal. Each MRI neuroimaging technique can potentially provide unique and distinct insight into changes that occur in the structural or functional organization of "at-risk" cognitive functions. The authors tested for the singular and combined power of 3 imaging techniques (functional MRI [fMRI], resting state fMRI, diffusion tensor imaging) to predict cognitive outcome following left (dominant) anterior temporal lobectomy for intractable epilepsy. METHODS; The authors calculated the degree of deviation from normal, determined the rate of change in this measure across the pre- and postsurgical imaging sessions, and then compared these measures for their ability to predict verbal fluency changes following surgery. RESULTS The data show that the 3 neuroimaging techniques, in a combined model, can reliably predict cognitive outcome following anterior temporal lobectomy for medically intractable temporal lobe epilepsy. CONCLUSIONS These findings suggest that these 3 imaging modalities can be used effectively, in an additive fashion, to predict functional reorganization and cognitive outcome following anterior temporal lobectomy.
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Affiliation(s)
- Karol Osipowicz
- Departments of 1 Neurology and.,Department of Psychology, Drexel University, Philadelphia, Pennsylvania
| | | | - Ashwini D Sharan
- Neurosurgery, Thomas Jefferson University/Sidney Kimmel Medical College; and
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26
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Xie S, Zhang Z, Zhao Q, Zhang J, Zhong S, Bi Y, He Y, Pan H, Gong G. The Effects of X Chromosome Loss on Neuroanatomical and Cognitive Phenotypes During Adolescence: a Multi-modal Structural MRI and Diffusion Tensor Imaging Study. Cereb Cortex 2014; 25:2842-53. [PMID: 24770708 DOI: 10.1093/cercor/bhu079] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The absence of all or part of one X chromosome in female humans causes Turner's syndrome (TS), providing a unique "knockout model" to investigate the role of the X chromosome in neuroanatomy and cognition. Previous studies have demonstrated TS-associated brain differences; however, it remains largely unknown 1) how the brain structures are affected by the type of X chromosome loss and 2) how X chromosome loss influences the brain-cognition relationship. Here, we addressed these by investigating gray matter morphology and white matter connectivity using a multimodal MRI dataset from 34 adolescent TS patients (13 mosaic and 21 nonmosaic) and 21 controls. Intriguingly, the 2 TS groups exhibited significant differences in surface area in the right angular gyrus and in white matter integrity of the left tapetum of corpus callosum; these data support a link between these brain phenotypes and the type of X chromosome loss in TS. We further showed that the X chromosome modulates specific brain-cognition relationships: thickness and surface area in multiple cortical regions are positively correlated with working-memory performance in controls but negatively in TS. These findings provide novel insights into the X chromosome effect on neuroanatomical and cognitive phenotypes and highlight the role of genetic factors in brain-cognition relationships.
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Affiliation(s)
- Sheng Xie
- Department of Radiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Zhixin Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing 100029, China
| | - Qiuling Zhao
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing 100029, China
| | - Jiaying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
| | - Suyu Zhong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
| | - Yanchao Bi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
| | - Hui Pan
- Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
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27
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Goel P, Kuceyeski A, LoCastro E, Raj A. Spatial patterns of genome-wide expression profiles reflect anatomic and fiber connectivity architecture of healthy human brain. Hum Brain Mapp 2014; 35:4204-18. [PMID: 24677576 DOI: 10.1002/hbm.22471] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Revised: 11/30/2013] [Accepted: 01/06/2014] [Indexed: 11/07/2022] Open
Abstract
Unraveling the relationship between molecular signatures in the brain and their functional, architectonic, and anatomic correlates is an important neuroscientific goal. It is still not well understood whether the diversity demonstrated by histological studies in the human brain is reflected in the spatial patterning of whole brain transcriptional profiles. Using genome-wide maps of transcriptional distribution of the human brain by the Allen Brain Institute, we test the hypothesis that gene expression profiles are specific to anatomically described brain regions. In this work, we demonstrate that this is indeed the case by showing that gene similarity clusters appear to respect conventional basal-cortical and caudal-rostral gradients. To fully investigate the causes of this observed spatial clustering, we test a connectionist hypothesis that states that the spatial patterning of gene expression in the brain is simply reflective of the fiber tract connectivity between brain regions. We find that although gene expression and structural connectivity are not determined by each other, they do influence each other with a high statistical significance. This implies that spatial diversity of gene expressions is a result of mainly location-specific features but is influenced by neuronal connectivity, such that like cellular species preferentially connects with like cells.
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Affiliation(s)
- Pragya Goel
- Department of Computer Science, Cornell University, Ithaca, New York
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