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Maximov II, van der Meer D, de Lange AMG, Kaufmann T, Shadrin A, Frei O, Wolfers T, Westlye LT. Fast qualitY conTrol meThod foR derIved diffUsion Metrics (YTTRIUM) in big data analysis: U.K. Biobank 18,608 example. Hum Brain Mapp 2021; 42:3141-3155. [PMID: 33788350 PMCID: PMC8193531 DOI: 10.1002/hbm.25424] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 03/10/2021] [Accepted: 03/13/2021] [Indexed: 12/12/2022] Open
Abstract
Deriving reliable information about the structural and functional architecture of the brain in vivo is critical for the clinical and basic neurosciences. In the new era of large population‐based datasets, when multiple brain imaging modalities and contrasts are combined in order to reveal latent brain structural patterns and associations with genetic, demographic and clinical information, automated and stringent quality control (QC) procedures are important. Diffusion magnetic resonance imaging (dMRI) is a fertile imaging technique for probing and visualising brain tissue microstructure in vivo, and has been included in most standard imaging protocols in large‐scale studies. Due to its sensitivity to subject motion and technical artefacts, automated QC procedures prior to scalar diffusion metrics estimation are required in order to minimise the influence of noise and artefacts. However, the QC procedures performed on raw diffusion data cannot guarantee an absence of distorted maps among the derived diffusion metrics. Thus, robust and efficient QC methods for diffusion scalar metrics are needed. Here, we introduce Fast qualitY conTrol meThod foR derIved diffUsion Metrics (YTTRIUM), a computationally efficient QC method utilising structural similarity to evaluate diffusion map quality and mean diffusion metrics. As an example, we applied YTTRIUM in the context of tract‐based spatial statistics to assess associations between age and kurtosis imaging and white matter tract integrity maps in U.K. Biobank data (n = 18,608). To assess the influence of outliers on results obtained using machine learning (ML) approaches, we tested the effects of applying YTTRIUM on brain age prediction. We demonstrated that the proposed QC pipeline represents an efficient approach for identifying poor quality datasets and artefacts and increases the accuracy of ML based brain age prediction.
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Affiliation(s)
- Ivan I Maximov
- Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,School of Mental Health and Neuroscience, Faculty of Health Medicine and Life Sciences, Maastricht University, The Netherlands
| | - Ann-Marie G de Lange
- Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,LREN, Centre for Research in Neurosciences - Department of Clinical Neurosciences, CHUV and University of Lausanne, Lausanne, Switzerland.,Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alexey Shadrin
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Thomas Wolfers
- Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
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Zorzi G, Thiebaut de Schotten M, Manara R, Bussè C, Corbetta M, Cagnin A. White matter abnormalities of right hemisphere attention networks contribute to visual hallucinations in dementia with Lewy bodies. Cortex 2021; 139:86-98. [PMID: 33848693 DOI: 10.1016/j.cortex.2021.03.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/16/2021] [Accepted: 03/04/2021] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Functional alterations of the visual attention networks in a setting of impaired visual information processing have a role in the genesis of visual hallucinations (VH) in dementia with Lewy bodies (DLB). This multimodal MRI study aims at exploring structural and functional basis of VH. METHODS 23 DLB patients (10 with and 13 without VH) and 13 healthy controls were studied. They underwent MRI with T1-w sequences to measure cortical thickness, DTI for whole-brain and single tract microstructural properties and rs-fMRI of the default mode, dorsal and ventral attention, and visual networks. RESULTS In DLB with VH, whole-brain DTI revealed a lower fractional anisotropy and a greater mean diffusivity in the right frontal and temporo-parietal white matter tracts. Tracts dissection showed lower fractional anisotropy in the right inferior and superior (ventral part) longitudinal fasciculi (ILF and SLF) (p < .05, corrected), and greater mean diffusivity (p < .05). The extent of white matter microstructural alterations involving the right ILF and SLF correlated with the severity of VH (r = .55, p < .01; r = .42, p < .05, respectively), and with performance in the visual attention task (r = -.56 and r = -.61; p < .01, respectively). Cortical thickness in the projection areas of the right SLF was significantly reduced (p < .05). Patients with VH also showed an altered functional connectivity in the ventral attention network, connected by the ventral portion of the SLF (p < .05). CONCLUSIONS Our findings suggest that a combination of microstructural and functional alterations involving the attention networks in the right hemisphere may be important in the genesis of VH.
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Affiliation(s)
- Giovanni Zorzi
- Department of Neuroscience, University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy.
| | - Michel Thiebaut de Schotten
- Padova Neuroscience Center, University of Padova, Padova, Italy; Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
| | - Renzo Manara
- Department of Neuroscience, University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Cinzia Bussè
- Department of Neuroscience, University of Padova, Padova, Italy
| | - Maurizio Corbetta
- Department of Neuroscience, University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy; Department of Neurology, Radiology, Neuroscience, Washington University School of Medicine, St.Louis, MO, USA
| | - Annachiara Cagnin
- Department of Neuroscience, University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy
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53
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Soni N, Medeiros R, Alateeq K, To XV, Nasrallah FA. Diffusion Tensor Imaging Detects Acute Pathology-Specific Changes in the P301L Tauopathy Mouse Model Following Traumatic Brain Injury. Front Neurosci 2021; 15:611451. [PMID: 33716645 PMCID: PMC7943881 DOI: 10.3389/fnins.2021.611451] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 01/25/2021] [Indexed: 11/18/2022] Open
Abstract
Traumatic brain injury (TBI) has been linked with tauopathy. However, imaging methods that can non-invasively detect tau-protein abnormalities following TBI need further investigation. This study aimed to investigate the potential of diffusion tensor imaging (DTI) to detect tauopathy following TBI in P301L mutant-tau-transgenic-pR5-mice. A total of 24 9-month-old pR5 mice were randomly assigned to sham and TBI groups. Controlled cortical injuries/craniotomies were performed for TBI/sham groups followed by DTI data acquisition on days 1 and 7 post-injury. DTI data were analyzed by using voxelwise analysis and track-based spatial statistics for gray matter and white matter. Further, immunohistochemistry was performed for total-tau and phosphorylated-tau, astrocytes, and microglia. To detect the association of DTI with these pathological markers, a correlation analysis was performed between DTI and histology findings. At day 1 post-TBI, DTI revealed a widespread reduction in fractional anisotropy (FA) and axial diffusivity (AxD) in the TBI group compared to shams. On day 7, further reduction in FA, AxD, and mean diffusivity and increased radial diffusivity were observed. FA was significantly increased in the amygdala and cortex. Correlation results showed that in the ipsilateral hemisphere FA reduction was associated with increased phosphorylated-tau and glial-immunoreactivity, whereas in the contralateral regions, the FA increase was associated with increased immunostaining for astrocytes. This study is the first to exploit DTI to investigate the effect of TBI in tau-transgenic mice. We show that alterations in the DTI signal were associated with glial activity following TBI and would most likely reflect changes that co-occur with/without phosphorylated-tau. In addition, FA may be a promising measure to identify discrete pathological processes such as increased astroglia activation, tau-hyperphosphorylation or both in the brain following TBI.
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Affiliation(s)
- Neha Soni
- Queensland Brain Institute, The University of Queensland, St. Lucia, QLD, Australia
| | - Rodrigo Medeiros
- Queensland Brain Institute, The University of Queensland, St. Lucia, QLD, Australia
| | - Khawlah Alateeq
- Queensland Brain Institute, The University of Queensland, St. Lucia, QLD, Australia
| | - Xuan Vinh To
- Queensland Brain Institute, The University of Queensland, St. Lucia, QLD, Australia
| | - Fatima A Nasrallah
- Queensland Brain Institute, The University of Queensland, St. Lucia, QLD, Australia
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Chen Z, Liu P, Zhang C, Yu Z, Feng T. Neural markers of procrastination in white matter microstructures and networks. Psychophysiology 2021; 58:e13782. [PMID: 33586198 DOI: 10.1111/psyp.13782] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 01/13/2021] [Accepted: 01/13/2021] [Indexed: 01/20/2023]
Abstract
More than 15% of adults suffer from pathological procrastination, which leads to substantial harm to their mental and psychiatric health. Our previous work demonstrated the role of three neuroanatomical networks as neural substrates of procrastination, but their potential interaction remains unknown. Three large-scale independent samples (total n = 901) were recruited. In sample A, tract-based spatial statistics (TBSS) and connectome-based graph-theoretical analysis was conducted to probe association between topological properties of white matter (WM) network and procrastination. In sample B, the above analysis was reproduced to demonstrate replicability. In sample C, machine learning models were built to predict individual procrastination. TBSS results showed a negative association between procrastination and WM integrity of limbic-prefrontal connection, and a positive relationship between intra-connection within the limbic system and procrastination. Also, both the efficiency and integrity of limbic WM network were found to be linked to procrastination. The above findings were all confirmed to replicate in an independent sample; prediction models demonstrated that these WM features can predict procrastination accurately in sample C. In conclusion, this study moves forward our understanding of procrastination by clarifying the role of interplay of self-control and emotional regulation with it.
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Affiliation(s)
- Zhiyi Chen
- Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality, Ministry of Education, Chongqing, China
| | - Peiwei Liu
- Department of Psychology, University of Florida, Gainesville, FL, USA
| | - Chenyan Zhang
- Cognitive Psychology Unit, Faculty of Social and Behavioural Sciences, The Institute of Psychology, Leiden University, Leiden, Netherlands
| | - Zeyuan Yu
- Teacher College, Southwest University, Chongqing, China
| | - Tingyong Feng
- Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality, Ministry of Education, Chongqing, China
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Hsieh S, Yao ZF, Yang MH. Multimodal Imaging Analysis Reveals Frontal-Associated Networks in Relation to Individual Resilience Strength. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:1123. [PMID: 33513995 PMCID: PMC7908187 DOI: 10.3390/ijerph18031123] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/17/2021] [Accepted: 01/23/2021] [Indexed: 11/17/2022]
Abstract
Psychological resilience is regarded as a critical protective factor for preventing the development of mental illness from experienced adverse events. Personal strength is one key element of resilience that reflects an individual's reactions to negative life events and is crucial for successful adaptation. Previous studies have linked unimodal imaging measures with resilience. However, applying multimodal imaging measures could provide comprehensive organization information at the system level to examine whether an individual's resilience strength is reflected in the brain's structural and functional network. In this study, MRI was used to acquire multimodal imaging properties and subscales of personal strength in terms of resilience from 109 participants (48 females and 61 males). We employed a method of fusion independent component analysis to link the association between multimodal imaging components and personal strength of psychological resilience. The results reveal that a fusion component involving multimodal frontal networks in connecting with the parietal, occipital, and temporal regions is associated with the resilience score for personal strength. A multiple regression model further explains the predictive role of frontal-associated regions that cover a visual-related network regulating cognition and emotion to discern the perceived adverse experience. Overall, this study suggests that frontal-associated regions are related to individual resilience strength.
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Affiliation(s)
- Shulan Hsieh
- CASE Lab, Department of Psychology, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan;
- Institute of Allied Health Sciences, National Cheng Kung University, Tainan 701, Taiwan
- Department and Institute of Public Health, National Cheng Kung University, Tainan 701, Taiwan
| | - Zai-Fu Yao
- Brain and Cognition, Department of Psychology, University of Amsterdam, 1001 NK Amsterdam, The Netherlands;
| | - Meng-Heng Yang
- CASE Lab, Department of Psychology, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan;
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Jacob MA, Cai M, Jansen MG, van Elderen N, Bergkamp M, Claassen JA, de Leeuw FE, Tuladhar AM. Orthostatic hypotension is not associated with small vessel disease progression or cognitive decline. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100032. [PMID: 36324726 PMCID: PMC9616324 DOI: 10.1016/j.cccb.2021.100032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/24/2021] [Accepted: 11/01/2021] [Indexed: 05/14/2023]
Abstract
INTRODUCTION Cerebral hypoperfusion is thought to play an important role in the etiology of cerebral small vessel disease (SVD). Orthostatic hypotension (OH) is assumed to be a cause of cerebral hypoperfusion by causing recurrent hypoperfusion episodes, and might thus be related to progression of SVD. Here, we investigated whether presence of OH is associated with the progression of SVD MRI-markers and cognitive decline over a time period of 9 years in a cohort of sporadic SVD patients. METHODS This study included SVD patients from the RUN DMC study, a prospective longitudinal single-center cohort study. In total, 503 patients were included at baseline (2006), from whom 351 participated at first follow-up (2011), and 293 at second follow-up (2015). During all visits, patients underwent MRI and cognitive testing. Association between presence of OH at baseline and progression of SVD-markers on MRI and cognitive decline over time was estimated using linear mixed-effects models. RESULTS Of the 503 patients who participated at baseline, 46 patients (9.1%) had OH. Cross-sectional analysis of the baseline data showed that OH was associated with higher white matter hyperintensity (WMH) volume (β = 0.18, p = 0.03), higher mean diffusivity (MD; β = 0.02, p = 0.002), and with presence of microbleeds (OR 2.37 95% CI 1.16-4.68). Longitudinally, OH was however not associated with a progression of total WMH volume (β = -0.17, p = 0.96) or with higher MD (β = -0.001, p = 0.49). There was no association between OH and cognitive performance, both at baseline and over time. CONCLUSION In this longitudinal observational study, there was no evidence that presence of OH is associated with progression of SVD-markers or cognitive decline over time. Our findings indicate that OH may not be causally related to SVD progression over time.
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Affiliation(s)
- Mina A. Jacob
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands
| | - Mengfei Cai
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands
| | - Michelle G. Jansen
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Noortje van Elderen
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Geriatrics, Nijmegen, the Netherlands
| | - Mayra Bergkamp
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands
| | - Jurgen A.H.R. Claassen
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Geriatrics, Nijmegen, the Netherlands
| | - Frank-Erik de Leeuw
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands
| | - Anil M. Tuladhar
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands
- Corresponding author at: Radboud University Medical Center, Department of Neurology (910), Reinier Postlaan 4, PO Box 9101, 6500 HB Nijmegen, the Netherlands.
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West KL, Sivakolundu DK, Zuppichini MD, Turner MP, Spence JS, Lu H, Okuda DT, Rypma B. Altered task-induced cerebral blood flow and oxygen metabolism underlies motor impairment in multiple sclerosis. J Cereb Blood Flow Metab 2021; 41:182-193. [PMID: 32126873 PMCID: PMC7747162 DOI: 10.1177/0271678x20908356] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 10/29/2019] [Accepted: 12/04/2019] [Indexed: 02/01/2023]
Abstract
The neural mechanisms underlying motor impairment in multiple sclerosis (MS) remain unknown. Motor cortex dysfunction is implicated in blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) studies, but the role of neural-vascular coupling underlying BOLD changes remains unknown. We sought to independently measure the physiologic factors (i.e., cerebral blood flow (ΔCBF), cerebral metabolic rate of oxygen (ΔCMRO2), and flow-metabolism coupling (ΔCBF/ΔCMRO2), utilizing dual-echo calibrated fMRI (cfMRI) during a bilateral finger-tapping task. We utilized cfMRI to measure physiologic responses in 17 healthy volunteers and 32 MS patients (MSP) with and without motor impairment during a thumb-button-press task in thumb-related (task-central) and surrounding primary motor cortex (task-surround) regions of interest (ROIs). We observed significant ΔCBF and ΔCMRO2 increases in all MSP compared to healthy volunteers in the task-central ROI and increased flow-metabolism coupling (ΔCBF/ΔCMRO2) in the MSP without motor impairment. In the task-surround ROI, we observed decreases in ΔCBF and ΔCMRO2 in MSP with motor impairment. Additionally, ΔCBF and ΔCMRO2 responses in the task-surround ROI were associated with motor function and white matter damage in MSP. These results suggest an important role for task-surround recruitment in the primary motor cortex to maintain motor dexterity and its dependence on intact white matter microstructure and neural-vascular coupling.
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Affiliation(s)
- Kathryn L West
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Dinesh K Sivakolundu
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Mark D Zuppichini
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Monroe P Turner
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Jeffrey S Spence
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Darin T Okuda
- Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Bart Rypma
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
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58
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Liu C, Li D, Yang H, Li H, Xu Q, Zhou B, Hu C, Li C, Wang Y, Qiao Z, Jiang YH, Xu X. Altered striatum centered brain structures in SHANK3 deficient Chinese children with genotype and phenotype profiling. Prog Neurobiol 2020; 200:101985. [PMID: 33388374 PMCID: PMC8572121 DOI: 10.1016/j.pneurobio.2020.101985] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 12/15/2020] [Accepted: 12/27/2020] [Indexed: 12/01/2022]
Abstract
SHANK3 deficiency represents one of the most replicated monogenic risk factors for autism spectrum disorder (ASD) and SHANK3 caused ASD presents a unique opportunity to understand the underlying neuropathological mechanisms of ASD. In this study, genetic tests, comprehensive clinical and neurobehavioral evaluations, as well as multimodal structural MRI using voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) were conducted in SHANK3 group (N = 14 with SHANK3 defects), ASD controls (N = 26 with idiopathic ASD without SHANK3 defects) and typically developing (TD) controls (N = 32). Phenotypically, we reported several new features in Chinese SHANK3 deficient children including anteverted nares, sensory stimulation seeking, dental abnormalities and hematological problems. In SHANK3 group, VBM revealed decreased grey matter volumes mainly in dorsal striatum, amygdala, hippocampus and parahippocampal gyrus; TBSS demonstrated decreased fractional anisotropy in multiple tracts involving projection, association and commissural fibers, including middle cerebral peduncle, corpus callosum, superior longitudinal fasciculus, corona radiata, external and internal capsule, and posterior thalamic radiation, etc. We report that the disrupted striatum centered brain structures are associated with SHANK3 deficient children. Study of subjects with monogenic cause offer specific insights into the neuroimaging studies of ASD. The discovery may support a path for future functional connectivity studies to allow for more in-depth understandings of the abnormal neural circuits and the underlying neuropathological mechanisms for ASD.
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Affiliation(s)
- Chunxue Liu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Dongyun Li
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Haowei Yang
- Department of Radiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Huiping Li
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Qiong Xu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Bingrui Zhou
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Chunchun Hu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Chunyang Li
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Yi Wang
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China
| | - Zhongwei Qiao
- Department of Radiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China.
| | - Yong-Hui Jiang
- Department of Genetics, Pediatrics and Neuroscience, Yale University School of Medicine, New Heaven CT 06520 USA.
| | - Xiu Xu
- Department of Child Health Care, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, China.
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Resting state functional connectivity abnormalities and delayed recall performance in patients with amnestic mild cognitive impairment. Brain Imaging Behav 2020; 14:267-277. [PMID: 30421086 DOI: 10.1007/s11682-018-9974-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Amnestic Mild Cognitive Impairment (aMCI) represents the transition between healthy aging and Alzheimer's dementia (AD) wherein gradual impairment of cognitive abilities, especially memory sets in. Impairment in episodic memory, especially delayed recall, is a hallmark of AD and therefore, patients with aMCI with more severe impairment in episodic memory are considered to be at greater risk of imminent conversion to AD. Brain structural and functional abnormalities were examined by comparing gray matter volumes, white matter micro-structural integrity and resting state functional connectivity (rsFC), between patients with aMCI (n = 46) having lower vs. higher episodic memory delayed recall (EM-DR) performance scores, correcting the influences of age, sex, number of years of formal education and total brain volumes using voxel-based morphometry, whole-brain tract based spatial statistics and dual regression analysis respectively. 'Low' performers (n = 27) when compared to 'high' performers (n = 19) showed significantly increased rsFC in the dorsal attention network (DAN) and central executive network (CEN) in the absence of demonstrable gray matter volumetric or white matter micro-structural integrity differences at family-wise error (FWE) corrected (p < 0.05) significance threshold. Follow-up data available for 38 (low performers = 22; high performers = 16) of the above 46 subjects (82.60% follow-up rate) over a median follow-up period of 24.5 months revealed that 7 subjects (18.42%) had converted to dementia. These converted subjects included 5 of the 22 low performers (22.72%) and 2 of the 16 high performers (12.5%) within the follow-up sample (n = 38). The results of the study indicate that imminent conversion of aMCI to dementia is higher in low performers in comparison to high performers, which may be characterized by increased rsFC in task positive networks, viz., DAN and CEN, as opposed to gray or white matter structural changes. This finding, therefore, might be considered as a prognostic indicator of progression from aMCI to dementia.
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Maruta J, Mallott JM, Sulioti G, Ghajar J, Palacios EM, Mukherjee P. Concussion Disrupts Normal Brain White Matter Microstructural Symmetry. Front Neurol 2020; 11:548220. [PMID: 33262738 PMCID: PMC7688463 DOI: 10.3389/fneur.2020.548220] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 10/20/2020] [Indexed: 11/24/2022] Open
Abstract
Injuries and illnesses can alter the normal bilateral symmetry of the brain, and determining the extent of this disruption may be useful in characterizing the pathology. One way of quantifying brain symmetry is in terms of bilateral correlation of diffusion tensor metrics between homologous white matter tracts. With this approach, we hypothesized that the brains of patients with a concussion are more asymmetrical than those of healthy individuals without a history of a concussion. We scanned the brains of 35 normal individuals and 15 emergency department patients with a recent concussion. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were determined for regions of interest (ROI) defined by a standard white-matter atlas that included 21 bilateral ROIs. For each ROI pair, bilateral correlation coefficients were calculated and compared between the two subject groups. A symmetry index, defined as the ratio between the difference and the sum of bilateral measures, was also calculated for each ROI pair and compared between the groups. We found that in normal subjects, the extent of symmetry varied among regions and individuals, and at least subtle forms of structural lateralization were common across regions. In patients, higher asymmetry was found overall as well as in the corticospinal tract specifically. Results indicate that a concussion can manifest in brain asymmetry that deviates from a normal state. The clinical utility of characterizing post-concussion pathology as abnormal brain asymmetry merits further exploration.
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Affiliation(s)
- Jun Maruta
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Brain Trauma Foundation, New York, NY, United States
| | - Jacob M Mallott
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Gary Sulioti
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.,Duke University School of Medicine, Durham, NC, United States
| | - Jamshid Ghajar
- Brain Trauma Foundation, New York, NY, United States.,Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
| | - Eva M Palacios
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Pratik Mukherjee
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
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Karlsson H, Merisaari H, Karlsson L, Scheinin NM, Parkkola R, Saunavaara J, Lähdesmäki T, Lehtola SJ, Keskinen M, Pelto J, Lewis JD, Tuulari JJ. Association of Cumulative Paternal Early Life Stress With White Matter Maturation in Newborns. JAMA Netw Open 2020; 3:e2024832. [PMID: 33231637 PMCID: PMC7686861 DOI: 10.1001/jamanetworkopen.2020.24832] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
IMPORTANCE Early life stress (ELS) has been shown to affect brain development and health outcomes. Recent animal studies have linked paternal early stress exposures with next-generation outcomes. Epigenetic inheritance through the male germline has been suggested to be one of the mechanisms. OBJECTIVES To test whether paternal ELS, as measured using the Trauma and Distress Scale, is associated with neonate brain development. DESIGN, SETTING, AND PARTICIPANTS This cohort study included data from participants from the prospective 2-generation FinnBrain Birth Cohort, which was collected from 2011 to 2015. Pregnant women and the fathers were consecutively recruited at gestational week 12 from maternity clinics in Finland. Magnetic resonance imaging data were analyzed in 2019. Participants in this study were 72 families (infant, father, mother). EXPOSURE Paternal exposure to ELS. MAIN OUTCOMES AND MEASURES Fractional anisotropy (FA) values in the major white-matter tracts of the newborn brain. RESULTS A total of 72 trios (infant, mother, and father) were analyzed. At the time of delivery, the mean (SD) age was 31.0 (4.4) years for fathers and 30.3 (4.5) years for mothers. Forty-one infants (57%) were boys; mean (SD) child age at inclusion was 26.9 (7.2) days from birth and 205 (8) days from estimated conception. Increasing levels of paternal ELS were associated with higher FA values in the newborn brain in the body of the corpus callosum, right superior corona radiata, and retrolenticular parts of the internal capsule. This association persisted after controlling for maternal ELS, maternal socioeconomic status (SES), maternal body mass index, maternal depressive symptoms during pregnancy, child sex, and child age from birth and gestation corrected age when imaged. In additional region-of-interest analyses, the association between FA values and paternal Trauma and Distress Scale sum scores remained statistically significant in the earliest maturing regions of the brain, eg, the genu of the corpus callosum (in the regression models, β = 0.00096; 95% CI, 0.00034-0.00158; P = .003) and the splenium (β = 0.00090; 95% CI, 0.00000-0.00180; P = .049). CONCLUSIONS AND RELEVANCE This cohort study found a statistically significant association between paternal ELS and offspring brain development. This finding may have far-reaching implications in pediatrics, as it suggests the possibility of a novel route of intergenerational inheritance of ELS on next-generation brain development.
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Affiliation(s)
- Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Harri Merisaari
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Child Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Noora M. Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Tuire Lähdesmäki
- Department of Pediatric Neurology, Turku University Hospital and University of Turku, Turku, Finland
| | - Satu J. Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Maria Keskinen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Juho Pelto
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - John D. Lewis
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Jetro J. Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
- Turku Collegium for Science and Medicine, University of Turku, Turku, Finland
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62
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Yao ZF, Sligte IG, Moreau D, Hsieh S, Yang CT, Ridderinkhof KR, Muggleton NG, Wang CH. The brains of elite soccer players are subject to experience-dependent alterations in white matter connectivity. Cortex 2020; 132:79-91. [PMID: 32956909 DOI: 10.1016/j.cortex.2020.07.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/26/2020] [Accepted: 07/30/2020] [Indexed: 02/07/2023]
Abstract
Soccer is the only major sport with voluntary unprotected head-to-ball contact. It is crucial to determine if head impact through long-term soccer training is manifested in brain structure and connectivity, and whether such alterations are due to sustained training per se. Using diffusion tensor imaging, we documented a comprehensive view of soccer players' brains in a sample of twenty-five right-handed male elite soccer players aged from 18 to 22 years and twenty-five non-athletic controls aged 19-24 years. Importantly, none had recalled a history of concussion. We performed a whole-brain tract-based spatial statistical analysis, and a tract-specific probabilistic tractography method to measure the differences of white matter properties between groups. Whole-brain integrity analysis showed stronger microstructural integrity within the corpus callosum tract in soccer players compared to controls. Further, tract-specific probabilistic tractography revealed that the anterior part of corpus callosum may be the brain structure most relevant to training experience, which may put into perspective prior evidence showing corpus callosum alteration in retired or concussed athletes practicing contact sports. Intriguingly, experience-related alterations showed left hemispheric lateralization of potential early signs of concussion-like effects. In sum, we concluded that the observed gains and losses may be due to a consequence of engagement in protracted soccer training that incurs prognostic hallmarks associated with minor injury-induced neural inflammation.
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Affiliation(s)
- Zai-Fu Yao
- Brain and Cognition, Department of Psychology, University of Amsterdam, the Netherlands
| | - Ilja G Sligte
- Brain and Cognition, Department of Psychology, University of Amsterdam, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, the Netherlands
| | - David Moreau
- Centre for Brain Research, School of Psychology, The University of Auckland, New Zealand
| | - Shulan Hsieh
- Cognitive Electrophysiology Laboratory: Control, Aging, Sleep, and Emotion (CASE), Department of Psychology, National Cheng Kung University, Taiwan; Institute of Allied Health Sciences, National Cheng Kung University, Taiwan; Department and Institute of Public Health, National Cheng Kung University, Taiwan; Department of Psychology, National Cheng Kung University, Taiwan
| | - Cheng-Ta Yang
- Institute of Allied Health Sciences, National Cheng Kung University, Taiwan; Department of Psychology, National Cheng Kung University, Taiwan
| | - K Richard Ridderinkhof
- Brain and Cognition, Department of Psychology, University of Amsterdam, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, the Netherlands
| | - Neil G Muggleton
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan; Institute of Cognitive Neuroscience, University College London, London, United Kingdom; Department of Psychology, Goldsmiths, University of London, London, United Kingdom
| | - Chun-Hao Wang
- Institute of Physical Education, Health & Leisure Studies, National Cheng Kung University, Taiwan.
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63
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Stephen R, Solomon A, Ngandu T, Levälahti E, Rinne JO, Kemppainen N, Parkkola R, Antikainen R, Strandberg T, Kivipelto M, Soininen H, Liu Y. White Matter Changes on Diffusion Tensor Imaging in the FINGER Randomized Controlled Trial. J Alzheimers Dis 2020; 78:75-86. [PMID: 32925045 PMCID: PMC7683078 DOI: 10.3233/jad-200423] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Background: Early pathological changes in white matter microstructure can be studied using the diffusion tensor imaging (DTI). It is not only important to study these subtle pathological changes leading to cognitive decline, but also to ascertain how an intervention would impact the white matter microstructure and cognition in persons at-risk of dementia. Objectives: To study the impact of a multidomain lifestyle intervention on white matter and cognitive changes during the 2-year Finnish Geriatric Intervention Study to prevent Cognitive Impairment and Disability (FINGER), a randomized controlled trial in at-risk older individuals (age 60–77 years) from the general population. Methods: This exploratory study consisted of a subsample of 60 FINGER participants. Participants were randomized to either a multidomain intervention (diet, exercise, cognitive training, and vascular risk management, n = 34) or control group (general health advice, n = 26). All underwent baseline and 2-year brain DTI. Changes in fractional anisotropy (FA), diffusivity along domain (F1) and non-domain (F2) diffusion orientations, mean diffusivity (MD), axial diffusivity (AxD), radial diffusivity (RD), and their correlations with cognitive changes during the 2-year multidomain intervention were analyzed. Results: FA decreased, and cognition improved more in the intervention group compared to the control group (p < 0.05), with no significant intergroup differences for changes in F1, F2, MD, AxD, or RD. The cognitive changes were significantly positively related to FA change, and negatively related to RD change in the control group, but not in the intervention group. Conclusion: The 2-year multidomain FINGER intervention may modulate white matter microstructural alterations.
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Affiliation(s)
- Ruth Stephen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Alina Solomon
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Tiia Ngandu
- Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden.,Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Esko Levälahti
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Juha O Rinne
- Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland.,Turku PET Centre, University of Turku, Turku, Finland
| | - Nina Kemppainen
- Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland.,Turku PET Centre, University of Turku, Turku, Finland
| | - Riitta Parkkola
- Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
| | - Riitta Antikainen
- Center for Life Course Health Research/Geriatrics, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and Oulu City Hospital, Oulu, Finland
| | - Timo Strandberg
- Center for Life Course Health Research/Geriatrics, University of Oulu, Oulu, Finland.,Department of Medicine, Geriatric Clinic, University of Helsinki, Helsinki University Central Hospital, Helsinki, Finland
| | - Miia Kivipelto
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Hilkka Soininen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Yawu Liu
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
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64
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Abstract
Recent evidence suggests that gains in performance observed while humans learn a novel motor sequence occur during the quiet rest periods interleaved with practice (micro-offline gains, MOGs). This phenomenon is reminiscent of memory replay observed in the hippocampus during spatial learning in rodents. Whether the hippocampus is also involved in the production of MOGs remains currently unknown. Using a multimodal approach in humans, here we show that activity in the hippocampus and the precuneus increases during the quiet rest periods and predicts the level of MOGs before asymptotic performance is achieved. These functional changes were followed by rapid alterations in brain microstructure in the order of minutes, suggesting that the same network that reactivates during the quiet periods of training undergoes structural plasticity. Our work points to the involvement of the hippocampal system in the reactivation of procedural memories.
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65
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MacNiven KH, Leong JK, Knutson B. Medial forebrain bundle structure is linked to human impulsivity. SCIENCE ADVANCES 2020; 6:6/38/eaba4788. [PMID: 32938676 PMCID: PMC7494337 DOI: 10.1126/sciadv.aba4788] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 07/29/2020] [Indexed: 05/13/2023]
Abstract
Comparative research indicates that projections from midbrain dopamine nuclei [including the ventral tegmental area (VTA)] to the ventral striatum [including the nucleus accumbens (NAcc)] critically support motivated behavior. Using diffusion-weighted imaging and probabilistic tractography in humans, we characterized the trajectory and structure of two tracts connecting the VTA and NAcc, as well as others connecting the substantia nigra and dorsal striatum. Decreased structural coherence of an inferior VTA-NAcc tract was primarily and replicably associated with increased trait impulsivity and also distinguished individuals with a stimulant use disorder from healthy controls. These findings suggest that decreased coherence of the inferior VTA-NAcc tract is associated with increased impulsivity in humans and identify a previously uncharacterized structural target for diagnosing disorders marked by impulsivity.
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Affiliation(s)
- Kelly H MacNiven
- Department of Psychology, Stanford University, Stanford, CA 94305, USA
| | - Josiah K Leong
- Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47405, USA
| | - Brian Knutson
- Department of Psychology, Stanford University, Stanford, CA 94305, USA.
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66
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Rashidi-Ranjbar N, Rajji TK, Kumar S, Herrmann N, Mah L, Flint AJ, Fischer CE, Butters MA, Pollock BG, Dickie EW, Anderson JAE, Mulsant BH, Voineskos AN. Frontal-executive and corticolimbic structural brain circuitry in older people with remitted depression, mild cognitive impairment, Alzheimer's dementia, and normal cognition. Neuropsychopharmacology 2020; 45:1567-1578. [PMID: 32422643 PMCID: PMC7360554 DOI: 10.1038/s41386-020-0715-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 04/15/2020] [Accepted: 05/11/2020] [Indexed: 12/11/2022]
Abstract
A history of depression is a risk factor for dementia. Despite strong epidemiologic evidence, the pathways linking depression and dementia remain unclear. We assessed structural brain alterations in white and gray matter of frontal-executive and corticolimbic circuitries in five groups of older adults putatively at-risk for developing dementia- remitted depression (MDD), non-amnestic MCI (naMCI), MDD+naMCI, amnestic MCI (aMCI), and MDD+aMCI. We also examined two other groups: non-psychiatric ("healthy") controls (HC) and individuals with Alzheimer's dementia (AD). Magnetic resonance imaging (MRI) data were acquired on the same 3T scanner. Following quality control in these seven groups, from diffusion-weighted imaging (n = 300), we compared white matter fractional anisotropy (FA), mean diffusivity (MD), and from T1-weighted imaging (n = 333), subcortical volumes and cortical thickness in frontal-executive and corticolimbic regions of interest (ROIs). We also used exploratory graph theory analysis to compare topological properties of structural covariance networks and hub regions. We found main effects for diagnostic group in FA, MD, subcortical volume, and cortical thickness. These differences were largely due to greater deficits in the AD group and to a lesser extent aMCI compared with other groups. Graph theory analysis revealed differences in several global measures among several groups. Older individuals with remitted MDD and naMCI did not have the same white or gray matter changes in the frontal-executive and corticolimbic circuitries as those with aMCI or AD, suggesting distinct neural mechanisms in these disorders. Structural covariance global metrics suggested a potential difference in brain reserve among groups.
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Affiliation(s)
- Neda Rashidi-Ranjbar
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sanjeev Kumar
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nathan Herrmann
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Linda Mah
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Baycrest Health Sciences, Rotman Research Institute, Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Alastair J Flint
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- University Health Network, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Corinne E Fischer
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bruce G Pollock
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Erin W Dickie
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - John A E Anderson
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Benoit H Mulsant
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Aristotle N Voineskos
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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67
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Harrison JR, Bhatia S, Tan ZX, Mirza-Davies A, Benkert H, Tax CMW, Jones DK. Imaging Alzheimer's genetic risk using diffusion MRI: A systematic review. Neuroimage Clin 2020; 27:102359. [PMID: 32758801 PMCID: PMC7399253 DOI: 10.1016/j.nicl.2020.102359] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 06/20/2020] [Accepted: 07/20/2020] [Indexed: 12/14/2022]
Abstract
Diffusion magnetic resonance imaging (dMRI) is an imaging technique which probes the random motion of water molecules in tissues and has been widely applied to investigate changes in white matter microstructure in Alzheimer's Disease. This paper aims to systematically review studies that examined the effect of Alzheimer's risk genes on white matter microstructure. We assimilated findings from 37 studies and reviewed their diffusion pre-processing and analysis methods. Most studies estimate the diffusion tensor (DT) and compare derived quantitative measures such as fractional anisotropy and mean diffusivity between groups. Those with increased AD genetic risk are associated with reduced anisotropy and increased diffusivity across the brain, most notably the temporal and frontal lobes, cingulum and corpus callosum. Structural abnormalities are most evident amongst those with established Alzheimer's Disease. Recent studies employ signal representations and analysis frameworks beyond DT MRI but show that dMRI overall lacks specificity to disease pathology. However, as the field advances, these techniques may prove useful in pre-symptomatic diagnosis or staging of Alzheimer's disease.
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Affiliation(s)
- Judith R Harrison
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cardiff CF24 4HQ, UK.
| | - Sanchita Bhatia
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff CF14 4XN, UK
| | - Zhao Xuan Tan
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff CF14 4XN, UK
| | - Anastasia Mirza-Davies
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff CF14 4XN, UK
| | - Hannah Benkert
- Cardiff University School of Medicine, University Hospital of Wales, Heath Park, Cardiff CF14 4XN, UK
| | - Chantal M W Tax
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cardiff CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), Maindy Road, Cardiff CF24 4HQ, UK; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
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68
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Brain structural evidence for a frontal pole specialization in glossolalia. IBRO Rep 2020; 9:32-36. [PMID: 32671282 PMCID: PMC7338610 DOI: 10.1016/j.ibror.2020.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 06/20/2020] [Indexed: 11/22/2022] Open
Abstract
Glossolalia is defined as the ritual oral production of phoneme sequences without recognizable semantic content. The functional underpinnings of glossolalia, and notably whether it consists of a highly specific or ordinary behavior, remain largely unresolved. We addressed this question by measuring the structural brain remodeling associated with the extensive practice of glossolalia in thirty experts. This approach enabled us to circumvent the limitations of functional imaging to reveal the neural correlates of behaviors elicited in specific contexts and involving movements incompatible with most imaging methods. Whole-brain regression analyses of glossolalia expertise with indices of grey and white matter structure revealed positive associations between practice time and grey matter volume within the left frontal pole and the right middle frontal gyrus. These findings suggest that glossolalia involves a degree of neurocognitive specialization, though not at the level of language control and production networks, but within domain-general executive areas. They further call for including multi-tasking and interference suppression as key processes in models of unrecognizable speech production. Our results also concur with current demonstrations that measures of brain structural remodeling may help identifying whether cognitive skills depend on networks specialization or on a recycling of already existing processes.
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69
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West K, Sivakolundu D, Maruthy G, Zuppichini M, Liu P, Thomas B, Spence J, Lu H, Okuda D, Rypma B. Baseline cerebral metabolism predicts fatigue and cognition in Multiple Sclerosis patients. NEUROIMAGE-CLINICAL 2020; 27:102281. [PMID: 32544855 PMCID: PMC7298673 DOI: 10.1016/j.nicl.2020.102281] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 04/03/2020] [Accepted: 05/02/2020] [Indexed: 10/25/2022]
Abstract
BACKGROUND Cerebral metabolic rate of oxygen (CMRO2), a measure of global oxygen metabolism, reflects resting cellular activity. The mechanisms underlying fatigue and cognitive dysfunction in multiple sclerosis (MS) remain unknown. If fatigue indeed reflects ongoing autoimmune activity and cortical reorganization, and cognitive decline is the result of gray matter atrophy and white matter degeneration, we postulate that changes in CMRO2 should reflect disease activity and predict these symptoms. OBJECTIVE We sought to utilize T2-Relaxation-Under-Spin-Tagging (TRUST) and phase-contrast (PC) MRI to measure global CMRO2 to understand its relationships to white matter microstructure, fatigue and cognitive dysfunction. METHODS We measured venous oxygenation (TRUST) and cerebral blood flow (PC-MRI) in superior sagittal sinus to calculate global CMRO2 and diffusion tensor imaging (DTI) to evaluate white matter microstructure in healthy controls (HC) and MS patients. Participants underwent neuropsychological examinations including Modified Fatigue Impact Scale (MFIS) and Symbol-Digit-Modalities Test (SDMT). RESULTS We observed lower CMRO2 in MS patients compared to HC. After controlling for demographic and disease characteristics (i.e., age, education, disability, lesion volume), CMRO2 predicted increased fatigue (MFIS) and reduced cognitive performance (SDMT) in MS patients. Finally, MS patients with higher CMRO2 have reduced FA in normal-appearing white-matter. CONCLUSION Altogether, these results suggest that increased CMRO2 reflects ongoing demyelination and autoimmune activity which plays an important role in both fatigue and cognitive dysfunction.
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Affiliation(s)
- Kl West
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA.
| | - Dk Sivakolundu
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Gb Maruthy
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Md Zuppichini
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - P Liu
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Bp Thomas
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Js Spence
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - H Lu
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Dt Okuda
- Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - B Rypma
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
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70
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Lee DK, Lee H, Park K, Joh E, Kim CE, Ryu S. Common gray and white matter abnormalities in schizophrenia and bipolar disorder. PLoS One 2020; 15:e0232826. [PMID: 32379845 PMCID: PMC7205291 DOI: 10.1371/journal.pone.0232826] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 04/22/2020] [Indexed: 12/15/2022] Open
Abstract
This study aimed to investigate abnormalities in the gray matter and white matter (GM and WM, respectively) that are shared between schizophrenia (SZ) and bipolar disorder (BD). We used 3T-magnetic resonance imaging to examine patients with SZ, BD, or healthy control (HC) subjects (aged 20–50 years, N = 65 in each group). We generated modulated GM maps through voxel-based morphometry (VBM) for T1-weighted images and skeletonized fractional anisotropy, mean diffusion, and radial diffusivity maps through tract-based special statistics (TBSS) methods for diffusion tensor imaging (DTI) data. These data were analyzed using a generalized linear model with pairwise comparisons between groups with a family-wise error corrected P < 0.017. The VBM analysis revealed widespread decreases in GM volume in SZ compared to HC, but patients with BD showed GM volume deficits limited to the right thalamus and left insular lobe. The TBSS analysis showed alterations of DTI parameters in widespread WM tracts both in SZ and BD patients compared to HC. The two disorders had WM alterations in the corpus callosum, superior longitudinal fasciculus, internal capsule, external capsule, posterior thalamic radiation, and fornix. However, we observed no differences in GM volume or WM integrity between SZ and BD. The study results suggest that GM volume deficits in the thalamus and insular lobe along with widespread disruptions of WM integrity might be the common neural mechanisms underlying the pathologies of SZ and BD.
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Affiliation(s)
- Dong-Kyun Lee
- Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea
| | - Hyeongrae Lee
- Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea
| | - Kyeongwoo Park
- Department of Clinical Psychology, National Center for Mental Health, Seoul, Republic of Korea
| | - Euwon Joh
- Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea
| | - Chul-Eung Kim
- Mental Health Research Institute, National Center for Mental Health, Seoul, Republic of Korea
| | - Seunghyong Ryu
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
- * E-mail:
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71
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Voldsbekk I, Maximov II, Zak N, Roelfs D, Geier O, Due-Tønnessen P, Elvsåshagen T, Strømstad M, Bjørnerud A, Groote I. Evidence for wakefulness-related changes to extracellular space in human brain white matter from diffusion-weighted MRI. Neuroimage 2020; 212:116682. [DOI: 10.1016/j.neuroimage.2020.116682] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/29/2020] [Accepted: 02/24/2020] [Indexed: 12/19/2022] Open
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Gryglewski G, Seiger R, Baldinger-Melich P, Unterholzner J, Spurny B, Vanicek T, Hahn A, Kasper S, Frey R, Lanzenberger R. Changes in White Matter Microstructure After Electroconvulsive Therapy for Treatment-Resistant Depression. Int J Neuropsychopharmacol 2020; 23:20-25. [PMID: 31740958 PMCID: PMC7064047 DOI: 10.1093/ijnp/pyz059] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 10/11/2019] [Accepted: 11/18/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Treatment-resistant depression is among the most debilitating conditions in psychiatry. Recent studies have associated alterations in white matter microstructure measured with magnetic resonance imaging with poor antidepressant response. Therefore, the extent to which electroconvulsive therapy, the most effective therapeutic option for treatment-resistant depression, affects white matter microstructure warrants investigation. METHODS A total 13 patients suffering from severe unipolar treatment-resistant depression underwent magnetic resonance imaging with a diffusion tensor imaging sequence before and after undergoing a series of right unilateral electroconvulsive therapy. Diffusivity metrics were compared voxel-wise using tract-based spatial statistics and repeated-measures ANOVA. RESULTS A total 12 patients responded to electroconvulsive therapy and 9 were classified as remitters. An increase in axial diffusivity was observed in the posterior limb of the internal capsule of the right hemisphere (PFWE ≤ .05). The increase in this area was higher in the right compared with the left hemisphere (P < .05). No correlation of this effect with treatment response could be found. CONCLUSIONS The strong lateralization of effects to the hemisphere of electrical stimulation suggests an effect of electroconvulsive therapy on diffusivity metrics which is dependent of electrode placement. Investigation in controlled studies is necessary to reveal to what extent the effects of electroconvulsive therapy on white matter microstructure are related to clinical outcomes and electrode placement.
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Affiliation(s)
- Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - René Seiger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Pia Baldinger-Melich
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Jakob Unterholzner
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Benjamin Spurny
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Richard Frey
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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73
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Soni N, Vegh V, To XV, Mohamed AZ, Borges K, Nasrallah FA. Combined Diffusion Tensor Imaging and Quantitative Susceptibility Mapping Discern Discrete Facets of White Matter Pathology Post-injury in the Rodent Brain. Front Neurol 2020; 11:153. [PMID: 32210907 PMCID: PMC7067826 DOI: 10.3389/fneur.2020.00153] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 02/18/2020] [Indexed: 12/12/2022] Open
Abstract
Early loss of white matter microstructure integrity is a significant cause of long-term neurological disorders following traumatic brain injury (TBI). White matter abnormalities typically involve axonal loss and demyelination. In-vivo imaging tools to detect and differentiate such microstructural changes are not well-explored. This work utilizes the conjoint potential offered by advanced magnetic resonance imaging techniques, including quantitative susceptibility mapping (QSM) and diffusion tensor imaging (DTI), to discern the underlying white matter pathology at specific time points (5 h, 1, 3, 7, 14, and 30 days) post-injury in the controlled cortical impact mouse model. A total of 42 animals were randomized into six TBI groups (n = 6 per group) and one sham group (n = 6). Histopathology was performed to validate in-vivo findings by performing myelin basic protein (MBP) and glial fibrillary acidic protein (GFAP) immunostaining for the assessment of changes to myelin and astrocytes. After 5 h of injury radial diffusivity (RD) was increased in white matter without a significant change in axial diffusivity (AxD) and susceptibility values. After 1 day post-injury RD was decreased. AxD and susceptibility changes were seen after 3 days post-injury. Susceptibility increases in white matter were observed in both ipsilateral and contralateral regions and persisted for 30 days. In histology, an increase in GFAP immunoreactivity was observed after 3 days post-injury and remained high for 30 days in both ipsilateral and contralateral white matter regions. A loss in MBP signal was noted after 3 days post-injury that continued up to 30 days. In conclusion, these results demonstrate the complementary ability of DTI and QSM in discerning the micro-pathological processes triggered following TBI. While DTI revealed acute and focal white matter changes, QSM mirrored the temporal demyelination in the white matter tracts and diffuse regions at the chronic state.
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Affiliation(s)
- Neha Soni
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Viktor Vegh
- Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Xuan Vinh To
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Abdalla Z Mohamed
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Karin Borges
- Faculty of Medicine, School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Fatima A Nasrallah
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
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74
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Jacobacci F, Jovicich J, Lerner G, Amaro E, Armony JL, Doyon J, Della-Maggiore V. Improving Spatial Normalization of Brain Diffusion MRI to Measure Longitudinal Changes of Tissue Microstructure in the Cortex and White Matter. J Magn Reson Imaging 2020; 52:766-775. [PMID: 32061044 DOI: 10.1002/jmri.27092] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/30/2020] [Accepted: 01/30/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Fractional anisotropy (FA) and mean diffusivity (MD) are frequently used to evaluate longitudinal changes in white matter (WM) microstructure. Recently, there has been a growing interest in identifying experience-dependent plasticity in gray matter using MD. Improving registration has thus become a major goal to enhance the detection of subtle longitudinal changes in cortical microstructure. PURPOSE To optimize normalization of diffusion tensor images (DTI) to improve registration in gray matter and reduce variability associated with multisession registrations. STUDY TYPE Prospective longitudinal study. SUBJECTS Twenty-one healthy subjects (18-31 years old) underwent nine MRI scanning sessions each. FIELD STRENGTH/SEQUENCE 3.0T, diffusion-weighted multiband-accelerated sequence, MP2RAGE sequence. ASSESSMENT Diffusion-weighted images were registered to standard space using different pipelines that varied in the features used for normalization, namely, the nonlinear registration algorithm (FSL vs. ANTs), the registration target (FA-based vs. T1 -based templates), and the use of intermediate individual (FA-based or T1 -based) targets. We compared the across-session test-retest reproducibility error of these normalization approaches for FA and MD in white and gray matter. STATISTICAL TESTS Reproducibility errors were compared using a repeated-measures analysis of variance with pipeline as the within-subject factor. RESULTS The registration of FA data to the FMRIB58 FA atlas using ANTs yielded lower reproducibility errors in white matter (P < 0.0001) with respect to FSL. Moreover, using the MNI152 T1 template as the target of registration resulted in lower reproducibility errors for MD (P < 0.0001), whereas the FMRIB58 FA template performed better for FA (P < 0.0001). Finally, the use of an intermediate individual template improved reproducibility when registration of the FA images to the MNI152 T1 was carried out within modality (FA-FA) (P < 0.05), but not via a T1 -based individual template. DATA CONCLUSION A normalization approach using ANTs to register FA images to the MNI152 T1 template via an individual FA template minimized test-retest reproducibility errors both for gray and white matter. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY STAGE: 1 J. Magn. Reson. Imaging 2020;52:766-775.
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Affiliation(s)
- Florencia Jacobacci
- Universidad de Buenos Aires. Facultad de Medicina. Departamento de fisiología y biofísica. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Fisiología y Biofísica (IFIBIO) Houssay, Buenos Aires, Argentina
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
| | - Gonzalo Lerner
- Universidad de Buenos Aires. Facultad de Medicina. Departamento de fisiología y biofísica. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Fisiología y Biofísica (IFIBIO) Houssay, Buenos Aires, Argentina
| | - Edson Amaro
- PISA, LIM-44, Instituto de Radiologia, FMUSP, University of Sao Paulo, Sao Paulo, Brazil
| | - Jorge L Armony
- Douglas Mental Health University Institute and McGill University, Montreal, Quebec, Canada
| | - Julien Doyon
- McConnell Brain Imaging Center, Montreal Neurological Institute and Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Valeria Della-Maggiore
- Universidad de Buenos Aires. Facultad de Medicina. Departamento de fisiología y biofísica. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Fisiología y Biofísica (IFIBIO) Houssay, Buenos Aires, Argentina
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75
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Chang K, Premeaux TA, Cobigo Y, Milanini B, Hellmuth J, Rubin LH, Javandel S, Allen I, Ndhlovu LC, Paul R, Valcour V. Plasma inflammatory biomarkers link to diffusion tensor imaging metrics in virally suppressed HIV-infected individuals. AIDS 2020; 34:203-213. [PMID: 31634200 PMCID: PMC6933087 DOI: 10.1097/qad.0000000000002404] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Inflammation may contribute to brain white matter health in people living with HIV who report cognitive symptoms despite adherence to combination antiretroviral therapy and viral suppression. We explored relationships between diffusion tensor imaging (DTI) metrics of white matter, plasma biomarkers of immune activation, and cognitive function in the HIV-infected population. DESIGN Retrospective study of older adults living with HIV who are combination antiretroviral therapy adherent, virally suppressed, and self-report cognitive symptoms. METHODS MRI, blood draws, and standardized neuropsychological test scores were collected from HIV-infected individuals. DTI metrics (fractional anisotropy, mean diffusivity, radial diffusivity, axial diffusivity) and plasma biomarkers (soluble CD163, soluble CD14, neopterin, IFN γ-induced protein 10, monocyte chemoattractant protein 1) were quantified. Statistical analysis explored associations between biomarker levels or neuropsychological test scores and DTI metrics using region of interest analyses and a voxelwise approach. RESULTS A total of 43 participants with median (interquartile range) age of 64 (62-66 years), CD4 cell count of 600 (400-760 cell/μl) who were all virally suppressed (<100 copies/ml) were selected. Higher levels of monocyte chemoattractant protein 1 associated with lower fractional anisotropy and higher mean diffusivity (P < 0.05) across white matter tracts including corpus callosum, corona radiata, and superior longitudinal fasciculus. Higher neopterin associated with higher mean diffusivity in the genu of corpus callosum, and higher soluble CD14 associated with lower fractional anisotropy in the bilateral superior corona radiata (P < 0.05). Worse global performance and speed domain scores associated with higher mean diffusivity and lower fractional anisotropy, and worse executive domain scores associated with lower fractional anisotropy (P < 0.05). CONCLUSION Elevated inflammatory plasma biomarkers link to white matter abnormalities among virally suppressed individuals. DTI abnormalities associate to cognitive performance. We conclude that inflammatory processes impact clinically relevant brain health indices despite viral suppression.
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Affiliation(s)
- Kevin Chang
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Thomas A Premeaux
- Department of Tropical Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii
| | - Yann Cobigo
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Benedetta Milanini
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Joanna Hellmuth
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Leah H Rubin
- Department of Neurology and Psychiatry, Johns Hopkins University School of Medicine
- Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland
| | - Shireen Javandel
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Isabel Allen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Lishomwa C Ndhlovu
- Department of Tropical Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii
| | - Robert Paul
- Missouri Institute of Mental Health, University of Missouri St Louis, St Louis, Missouri, USA
| | - Victor Valcour
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
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76
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Hammans C, Neugebauer K, Kumar V, Mevissen L, Sternkopf MA, Novakovic A, Wensing T, Habel U, Abel T, Nickl-Jockschat T. BDNF Serum Levels are Associated With White Matter Microstructure in Schizophrenia - A Pilot Study. Front Psychiatry 2020; 11:31. [PMID: 32153434 PMCID: PMC7046752 DOI: 10.3389/fpsyt.2020.00031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/10/2020] [Indexed: 11/21/2022] Open
Abstract
Brain derived neurotrophic factor (BDNF) has been implicated in the pathophysiology of schizophrenia. As BDNF regulates axonal and dendritic growth, altered BDNF levels in schizophrenia patients might underlie changes in structural connectivity that have been identified by magnetic resonance imaging (MRI). We investigated a possible correlation between BDNF serum levels, fiber tract architecture, and regional grey matter volumes in 19 schizophrenia patients and a gender- and age-matched control group. Two patients had to be excluded due to abnormalities in their MRI scans. Serum samples were obtained to determine BDNF levels, and T1- as well as diffusion-weighted sequences were acquired. We, then, investigated correlations between BDNF serum levels with neuroimaging parameters, using Voxel-based Morphometry (VBM) and Tract-based Spatial Statistics (TBSS). We found a significant negative correlation between BDNF serum levels and FA values in the right inferior fronto-occipital fasciculus and the right superior longitudinal fasciculus. These regions also showed a decrease in AD values in schizophrenia patients. Grey matter volumes were reduced in patients but there was no correlation between regional grey matter volumes and BDNF. The right superior longitudinal fasciculus has been repeatedly identified to exhibit microstructural changes in schizophrenia patients. Our findings of a negative correlation between BDNF and FA values in patients might indicate that BDNF is upregulated to compensate decreased structural connectivity as it induces neural plasticity and shows increased levels in damaged tissue. These findings of our pilot study are encouraging leads for future research in larger samples.
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Affiliation(s)
- Christine Hammans
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Kristina Neugebauer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Vinod Kumar
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany.,Department of High-field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany
| | - Lea Mevissen
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Melanie A Sternkopf
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Ana Novakovic
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Tobias Wensing
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Ted Abel
- Carver College of Medicine, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany.,Carver College of Medicine, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States.,Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
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77
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Müller T, Payton NM, Kalpouzos G, Jessen F, Grande G, Bäckman L, Laukka EJ. Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia. J Alzheimers Dis 2020; 77:1443-1453. [PMID: 32925047 PMCID: PMC7683082 DOI: 10.3233/jad-200445] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/17/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND Although associated with dementia and cognitive impairment, microstructural white matter integrity is a rarely used marker of preclinical dementia. OBJECTIVE We aimed to evaluate the individual and combined effects of multiple markers, with special focus on microstructural white matter integrity, in detecting individuals with increased dementia risk. METHODS A dementia-free subsample (n = 212, mean age = 71.33 years) included in the population-based Swedish National Study on Aging and Care (SNAC-K) underwent magnetic resonance imaging (T1-weighted, fluid-attenuated inversion recovery, diffusion tensor imaging), neuropsychological testing (perceptual speed, episodic memory, semantic memory, letter and category fluency), and genotyping (APOE). Incident dementia was assessed during six years of follow-up. RESULTS A global model (global cognition, APOE, total brain tissue volume: AUC = 0.920) rendered the highest predictive value for future dementia. Of the models based on specific markers, white matter integrity of the forceps major tract was included in the most predictive model, in combination with perceptual speed and hippocampal volume (AUC = 0.911). CONCLUSION Assessment of microstructural white matter integrity may improve the early detection of dementia, although the added benefit in this study was relatively small.
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Affiliation(s)
- Theresa Müller
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Germany
| | - Nicola M. Payton
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Frank Jessen
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J. Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
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78
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Anterior and posterior commissures in agenesis of the corpus callosum: Alternative pathways for attention processes? Cortex 2019; 121:454-467. [DOI: 10.1016/j.cortex.2019.09.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 04/18/2019] [Accepted: 09/24/2019] [Indexed: 11/20/2022]
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79
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Rogers JC, Gonzalez-Madruga K, Kohls G, Baker RH, Clanton RL, Pauli R, Birch P, Chowdhury AI, Kirchner M, Andersson JLR, Smaragdi A, Puzzo I, Baumann S, Raschle NM, Fehlbaum LV, Menks WM, Steppan M, Stadler C, Konrad K, Freitag CM, Fairchild G, De Brito SA. White Matter Microstructure in Youths With Conduct Disorder: Effects of Sex and Variation in Callous Traits. J Am Acad Child Adolesc Psychiatry 2019; 58:1184-1196. [PMID: 31028899 DOI: 10.1016/j.jaac.2019.02.019] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 02/11/2019] [Accepted: 03/28/2019] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Studies using diffusion tensor imaging (DTI) to investigate white matter (WM) microstructure in youths with conduct disorder (CD) have reported disparate findings. We investigated WM alterations in a large sample of youths with CD, and examined the influence of sex and callous-unemotional (CU) traits. METHOD DTI data were acquired from 124 youths with CD (59 female) and 174 typically developing (TD) youths (103 female) 9 to 18 years of age. Tract-based spatial statistics tested for effects of diagnosis and sex-by-diagnosis interactions. Associations with CD symptoms, CU traits, a task measuring impulsivity, and the impact of comorbidity, and age- and puberty-related effects were examined. RESULTS Youths with CD exhibited higher axial diffusivity in the corpus callosum and lower radial diffusivity and mean diffusivity in the anterior thalamic radiation relative to TD youths. Female and male youths with CD exhibited opposite changes in the left hemisphere within the internal capsule, fornix, posterior thalamic radiation, and uncinate fasciculus. Within the CD group, CD symptoms and callous traits exerted opposing influences on corpus callosum axial diffusivity, with callous traits identified as the unique clinical feature predicting higher axial diffusivity and lower radial diffusivity within the corpus callosum and anterior thalamic radiation, respectively. In an exploratory analysis, corpus callosum axial diffusivity partially mediated the association between callous traits and impulsive responses to emotional faces. Results were not influenced by symptoms of comorbid disorders, and no age- or puberty-related interactions were observed. CONCLUSION WM alterations within the corpus callosum represent a reliable neuroimaging marker of CD. Sex and callous traits are important factors to consider when examining WM in CD.
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Affiliation(s)
| | | | - Gregor Kohls
- Child Neuropsychology Section, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Germany
| | | | | | - Ruth Pauli
- School of Psychology, University of Birmingham, UK
| | | | - Alimul I Chowdhury
- School of Psychology, University of Birmingham, UK; Medical Physics Department, University Hospitals Birmingham, NHS Foundation Trust, UK
| | - Marietta Kirchner
- Institute of Medical Biometry and Informatics, University of Heidelberg, Germany
| | | | | | | | - Sarah Baumann
- Child Neuropsychology Section, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Germany
| | | | | | | | | | | | - Kerstin Konrad
- Child Neuropsychology Section, Psychosomatics and Psychotherapy, University Hospital RWTH Aachen, Germany
| | - Christine M Freitag
- University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
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80
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Andreasen SH, Andersen KW, Conde V, Dyrby TB, Puonti O, Kammersgaard LP, Madsen CG, Madsen KH, Poulsen I, Siebner HR. Limited Colocalization of Microbleeds and Microstructural Changes after Severe Traumatic Brain Injury. J Neurotrauma 2019; 37:581-592. [PMID: 31588844 DOI: 10.1089/neu.2019.6608] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Severe traumatic brain injury (TBI) produces shearing forces on long-range axons and brain vessels, causing axonal and vascular injury. To examine whether microbleeds and axonal injury colocalize after TBI, we performed whole-brain susceptibility-weighted imaging (SWI) and diffusion tensor imaging (DTI) in 14 patients during the subacute phase after severe TBI. SWI was used to determine the number and volumes of microbleeds in five brain regions: the frontotemporal lobe; parieto-occipital lobe; midsagittal region (cingular cortex, parasagittal white matter, and corpus callosum); deep nuclei (basal ganglia and thalamus); and brainstem. Averaged fractional anisotropy (FA) and mean diffusivity (MD) were measured to assess microstructural changes in the normal appearing white matter attributed to axonal injury in the same five regions. Regional expressions of microbleeds and microstructure were used in a partial least-squares model to predict the impairment of consciousness in the subacute stage after TBI as measured with the Coma Recovery Scale-Revised (CRS-R). Only in the midsagittal region, the expression of microbleeds was correlated with regional changes in microstructure as revealed by DTI. Microbleeds and microstructural DTI-based metrics of deep, but not superficial, brain regions were able to predict individual CRS-R. Our results suggest that microbleeds are not strictly related to axonal pathology in other than the midsagittal region. While each measure alone was predictive, the combination of both metrics scaled best with individual CRS-R. Structural alterations in deep brain structures are relevant in terms of determining the severity of impaired consciousness in the acute stage after TBI.
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Affiliation(s)
- Sara H Andreasen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Research Unit on Brain Injury Rehabilitation Copenhagen (RUBRIC), Department of Neurorehabilitation, Traumatic Brain Injury, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kasper W Andersen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Virginia Conde
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Clinical Neuroscience Laboratory, Institute of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Tim B Dyrby
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Oula Puonti
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Lars Peter Kammersgaard
- Research Unit on Brain Injury Rehabilitation Copenhagen (RUBRIC), Department of Neurorehabilitation, Traumatic Brain Injury, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Camilla G Madsen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Radiology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Kristoffer H Madsen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Ingrid Poulsen
- Research Unit on Brain Injury Rehabilitation Copenhagen (RUBRIC), Department of Neurorehabilitation, Traumatic Brain Injury, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.,Department of Nursing Science, Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department for Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
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81
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Houston J, Allendorfer J, Nenert R, Goodman AM, Szaflarski JP. White Matter Language Pathways and Language Performance in Healthy Adults Across Ages. Front Neurosci 2019; 13:1185. [PMID: 31736704 PMCID: PMC6838008 DOI: 10.3389/fnins.2019.01185] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Accepted: 10/21/2019] [Indexed: 12/14/2022] Open
Abstract
The goal of this study was to determine the relationship between age-related white matter changes, with a specific focus on previously identified language pathways, and language functioning in healthy aging. 228 healthy participants (126 female; 146 right-handed), ages 18 to 76, underwent 3.0 Tesla MR diffusion weighted imaging (DWI) and a battery of language assessments including the Boston Naming Test (BNT), the Peabody Picture Vocabulary Test (PPVT), the Controlled Oral Word Association Test (COWAT), Semantic Fluency Test (SFT), and a subset of the Boston Diagnostic Aphasia Examination (CI-BDAE). Using tract based spatial statistics (TBSS), we investigated measurements of fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD). TBSS was used to create a white matter skeleton that was then used to analyze white matter changes (indexed by FA, AD, RD, and MD) with age and language performance. Results focused primarily on significant relationships (p < 0.05, cluster-wise FDR corrected for multiple comparisons) in the canonical language white matter pathways. We found a diffuse linear decrease with age in global white matter FA and a significant focal increase in FA with age within the bilateral superior cerebellar peduncles (SCPs). We observed that increased BNT scores were associated with increased FA within the left SLF, and within the posterior and antero-lateral portions of the right inferior frontal-occipital fasciculus (IFOF). Increased SFT and PPVT scores were associated with increased FA within the posterior portion of the right IFOF and increased FA within the left body of the corpus callosum was associated with lower COWAT scores. We found no association between FA and BDAE. MD, RD, and AD, were found to be inversely proportional to FA within the IFOF, with AD showing a negative correlation with SFT, and RD and MD showing a negative correlation with BNT. There was no association between CI-BDAE and any of the white matter measures. Significant differences between sexes included more pronounced FA decrease with age within the right SLF in males vs. females; there were no differences in language performance scores between sexes. We also found that there was no decline in language testing scores with increasing age in our cohort. Taken together, our findings of varying relationships between DTI metrics and language function within multiple regions of the non-dominant IFOF suggest that more robust language networks with bilateral structural connectivity may contribute to better overall language functioning, regardless of age.
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Affiliation(s)
- James Houston
- Department of Neurology, UAB Epilepsy Center, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Jane Allendorfer
- Department of Neurology, UAB Epilepsy Center, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Rodolph Nenert
- Department of Neurology, UAB Epilepsy Center, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Adam M. Goodman
- Department of Neurology, UAB Epilepsy Center, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Jerzy P. Szaflarski
- Department of Neurology, UAB Epilepsy Center, The University of Alabama at Birmingham, Birmingham, AL, United States
- Departments of Neurosurgery and Neurobiology, The University of Alabama at Birmingham, Birmingham, AL, United States
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82
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Puzzo I, Seunarine K, Sully K, Darekar A, Clark C, Sonuga-Barke EJS, Fairchild G. Altered White-Matter Microstructure in Conduct Disorder Is Specifically Associated with Elevated Callous-Unemotional Traits. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2019; 46:1451-1466. [PMID: 29273881 PMCID: PMC6132987 DOI: 10.1007/s10802-017-0375-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Adolescents with conduct disorder (CD) and elevated callous-unemotional (CU) traits have been reported to present with a more severe and persistent pattern of antisocial behaviour than those with low levels of CU traits. However, relatively few studies have investigated whether there are differences in brain structure between these subgroups.We acquired diffusion tensor imaging data and used tract-based spatial statistics (TBSS) to compare adolescents with CD and high levels of CU traits (CD/CU+; n = 18, CD and low levels of CU traits (CD/CU-; n = 17) and healthy controls (HC; n = 32) on measures of fractional anisotropy (FA), axial (AD), radial (RD) and mean (MD) diffusivity. Compared to CD/CU- adolescents, those with CD/CU+ presented increased FA and reduced RD and MD (lower diffusivity) in several tracts including: body and splenium of the corpus callosum, right inferior longitudinal fasciculus, ILF; right inferior fronto-occipital fasciculus, IFOF; left superior longitudinal fasciculus, SLF; left cerebral peduncle, bilateral internal capsule, left superior and posterior corona radiata, bilateral thalamic radiation and left external capsule. In addition, relative to CD/CU- individuals, adolescents with CD/CU+ showed lower diffusivity (indexed by reduced RD and MD) in left uncinate fasciculus and bilateral fornix. Finally, relative to healthy controls, CD/CU+ individuals showed lower diffusivity (reduced RD) in the genu and body of the corpus callosum and left anterior corona radiata. These results suggest that CD/CU+ individuals present with white-matter microstructural abnormalities compared to both CD/CU- individuals and age-matched healthy controls. This finding is consistent with emerging evidence suggesting that CD/CU+ represents a distinct subtype of CD, and illustrates the importance of accounting for heterogeneity within CD populations.
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Affiliation(s)
- Ignazio Puzzo
- Forensic Research & Development Domain, Broadmoor High Secure Hospital, West London Mental Health Trust, Southall, UK.
| | - Kiran Seunarine
- Developmental Imaging and Biophysics Section, UCL Institute of Child Health, London, UK
| | | | - Angela Darekar
- Department of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Chris Clark
- Developmental Imaging and Biophysics Section, UCL Institute of Child Health, London, UK
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83
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Maximov II, Alnæs D, Westlye LT. Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations in UK Biobank. Hum Brain Mapp 2019; 40:4146-4162. [PMID: 31173439 PMCID: PMC6865652 DOI: 10.1002/hbm.24691] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 05/14/2019] [Accepted: 05/27/2019] [Indexed: 12/30/2022] Open
Abstract
Increasing interest in the structural and functional organisation of the human brain encourages the acquisition of big data sets comprising multiple neuroimaging modalities, often accompanied by additional information obtained from health records, cognitive tests, biomarkers and genotypes. Diffusion weighted magnetic resonance imaging data enables a range of promising imaging phenotypes probing structural connections as well as macroanatomical and microstructural properties of the brain. The reliability and biological sensitivity and specificity of diffusion data depend on processing pipeline. A state-of-the-art framework for data processing facilitates cross-study harmonisation and reduces pipeline-related variability. Using diffusion magnetic resonance imaging (MRI) data from 218 individuals in the UK Biobank, we evaluate the effects of different processing steps that have been suggested to reduce imaging artefacts and improve reliability of diffusion metrics. In lack of a ground truth, we compared diffusion metric sensitivity to age between pipelines. By comparing distributions and age sensitivity of the resulting diffusion metrics based on different approaches (diffusion tensor imaging, diffusion kurtosis imaging and white matter tract integrity), we evaluate a general pipeline comprising seven postprocessing blocks: noise correction; Gibbs ringing correction; evaluation of field distortions; susceptibility, eddy-current and motion-induced distortion corrections; bias field correction; spatial smoothing and final diffusion metric estimations. Based on this evaluation, we suggest an optimised processing pipeline for diffusion weighted MRI data.
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Affiliation(s)
- Ivan I. Maximov
- Department of PsychologyUniversity of OsloOsloNorway
- Department of Mental Health and AddictionNorwegian Centre for Mental Disorders Research spiepr132 (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Dag Alnæs
- Department of Mental Health and AddictionNorwegian Centre for Mental Disorders Research spiepr132 (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Department of Mental Health and AddictionNorwegian Centre for Mental Disorders Research spiepr132 (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
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84
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Del Maschio N, Sulpizio S, Toti M, Caprioglio C, Del Mauro G, Fedeli D, Abutalebi J. Second language use rather than second language knowledge relates to changes in white matter microstructure. JOURNAL OF CULTURAL COGNITIVE SCIENCE 2019. [DOI: 10.1007/s41809-019-00039-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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85
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Howell BR, Ahn M, Shi Y, Godfrey JR, Hu X, Zhu H, Styner M, Sanchez MM. Disentangling the effects of early caregiving experience and heritable factors on brain white matter development in rhesus monkeys. Neuroimage 2019; 197:625-642. [PMID: 30978495 PMCID: PMC7179761 DOI: 10.1016/j.neuroimage.2019.04.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 03/30/2019] [Accepted: 04/03/2019] [Indexed: 10/27/2022] Open
Abstract
Early social experiences, particularly maternal care, shape behavioral and physiological development in primates. Thus, it is not surprising that adverse caregiving, such as child maltreatment leads to a vast array of poor developmental outcomes, including increased risk for psychopathology across the lifespan. Studies of the underlying neurobiology of this risk have identified structural and functional alterations in cortico-limbic brain circuits that seem particularly sensitive to these early adverse experiences and are associated with anxiety and affective disorders. However, it is not understood how these neurobiological alterations unfold during development as it is very difficult to study these early phases in humans, where the effects of maltreatment experience cannot be disentangled from heritable traits. The current study examined the specific effects of experience ("nurture") versus heritable factors ("nature") on the development of brain white matter (WM) tracts with putative roles in socioemotional behavior in primates from birth through the juvenile period. For this we used a randomized crossfostering experimental design in a naturalistic rhesus monkey model of infant maltreatment, where infant monkeys were randomly assigned at birth to either a mother with a history of maltreating her infants, or a competent mother. Using a longitudinal diffusion tensor imaging (DTI) atlas-based tract-profile approach we identified widespread, but also specific, maturational changes on major brain tracts, as well as alterations in a measure of WM integrity (fractional anisotropy, FA) in the middle longitudinal fasciculus (MdLF) and the inferior longitudinal fasciculus (ILF), of maltreated animals, suggesting decreased structural integrity in these tracts due to early adverse experience. Exploratory voxelwise analyses confirmed the tract-based approach, finding additional effects of early adversity, biological mother, social dominance rank, and sex in other WM tracts. These results suggest tract-specific effects of postnatal maternal care experience versus heritable or biological factors on primate WM microstructural development. Further studies are needed to determine the specific behavioral outcomes and biological mechanisms associated with these alterations in WM integrity.
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Affiliation(s)
- Brittany R Howell
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA; Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA; Institute of Child Development, University of Minnesota, Minneapolis, MN, USA.
| | - Mihye Ahn
- Department of Mathematics and Statistics, University of Nevada, Reno, NV, USA; Department of Biostatistics and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Yundi Shi
- Department. of Psychiatry and Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - Jodi R Godfrey
- Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Xiaoping Hu
- Biomedical Imaging Technology Center, Emory University and Georgia Institute of Technology, Atlanta, GA, USA
| | - Hongtu Zhu
- Department of Biostatistics and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Martin Styner
- Department. of Psychiatry and Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - Mar M Sanchez
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA; Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA
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86
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Prange S, Metereau E, Maillet A, Lhommée E, Klinger H, Pelissier P, Ibarrola D, Heckemann RA, Castrioto A, Tremblay L, Sgambato V, Broussolle E, Krack P, Thobois S. Early limbic microstructural alterations in apathy and depression in de novo Parkinson's disease. Mov Disord 2019; 34:1644-1654. [PMID: 31309609 DOI: 10.1002/mds.27793] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 05/20/2019] [Accepted: 06/10/2019] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Whether structural alterations underpin apathy and depression in de novo parkinsonian patients is unknown. The objectives of this study were to investigate whether apathy and depression in de novo parkinsonian patients are related to structural alterations and how structural abnormalities relate to serotonergic or dopaminergic dysfunction. METHODS We compared the morphological and microstructural architecture in gray matter using voxel-based morphometry and diffusion tensor imaging coupled with white matter tract-based spatial statistics in a multimodal imaging case-control study enrolling 14 apathetic and 13 nonapathetic patients with de novo Parkinson's disease and 15 age-matched healthy controls, paired with PET imaging of the presynaptic dopaminergic and serotonergic systems. RESULTS De novo parkinsonian patients with apathy had bilateral microstructural alterations in the medial corticostriatal limbic system, exhibiting decreased fractional anisotropy and increased mean diffusivity in the anterior striatum and pregenual anterior cingulate cortex in conjunction with serotonergic dysfunction. Furthermore, microstructural alterations extended to the medial frontal cortex, the subgenual anterior cingulate cortex and subcallosal gyrus, the medial thalamus, and the caudal midbrain, suggesting disruption of long-range nondopaminergic projections originating in the brainstem, in addition to microstructural alterations in callosal interhemispheric connections and frontostriatal association tracts early in the disease course. In addition, microstructural abnormalities related to depressive symptoms in apathetic and nonapathetic patients revealed a distinct, mainly right-sided limbic subnetwork involving limbic and frontal association tracts. CONCLUSIONS Early limbic microstructural alterations specifically related to apathy and depression emphasize the role of early disruption of ascending nondopaminergic projections and related corticocortical and corticosubcortical networks which underpin the variable expression of nonmotor and neuropsychiatric symptoms in Parkinson's disease. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Stéphane Prange
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR, 5229, Bron, France.,Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Bron, France
| | - Elise Metereau
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR, 5229, Bron, France.,Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Bron, France
| | - Audrey Maillet
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR, 5229, Bron, France
| | - Eugénie Lhommée
- CHU de Grenoble, Movement Disorders Unit, Neurology Department, Grenoble, France.,Univ Grenoble Alpes, Inserm U1216, Neurosciences, GIN, Grenoble, France
| | - Hélène Klinger
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Bron, France
| | - Pierre Pelissier
- CHU de Grenoble, Movement Disorders Unit, Neurology Department, Grenoble, France.,Univ Grenoble Alpes, Inserm U1216, Neurosciences, GIN, Grenoble, France
| | | | - Rolf A Heckemann
- MedTech West at Sahlgrenska University Hospital, Gothenburg, Sweden.,University of Gothenburg, Department of Radiation Physics, Gothenburg, Sweden
| | - Anna Castrioto
- CHU de Grenoble, Movement Disorders Unit, Neurology Department, Grenoble, France.,Univ Grenoble Alpes, Inserm U1216, Neurosciences, GIN, Grenoble, France
| | - Léon Tremblay
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR, 5229, Bron, France
| | - Véronique Sgambato
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR, 5229, Bron, France
| | - Emmanuel Broussolle
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR, 5229, Bron, France.,Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Bron, France.,Univ Lyon, Université Claude Bernard Lyon 1, Faculté de Médecine Lyon Sud Charles Mérieux, Oullins, France
| | - Paul Krack
- Department of Neurology, Division of Movement Disorders, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Stéphane Thobois
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR, 5229, Bron, France.,Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Bron, France.,Univ Lyon, Université Claude Bernard Lyon 1, Faculté de Médecine Lyon Sud Charles Mérieux, Oullins, France
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87
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Hoogenboom WS, Rubin TG, Ye K, Cui MH, Branch KC, Liu J, Branch CA, Lipton ML. Diffusion Tensor Imaging of the Evolving Response to Mild Traumatic Brain Injury in Rats. J Exp Neurosci 2019; 13:1179069519858627. [PMID: 31308735 PMCID: PMC6613065 DOI: 10.1177/1179069519858627] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 05/29/2019] [Indexed: 12/30/2022] Open
Abstract
Mild traumatic brain injury (mTBI), also known as concussion, is a serious public health challenge. Although most patients recover, a substantial minority suffers chronic disability. The mechanisms underlying mTBI-related detrimental effects remain poorly understood. Although animal models contribute valuable preclinical information and improve our understanding of the underlying mechanisms following mTBI, only few studies have used diffusion tensor imaging (DTI) to study the evolution of axonal injury following mTBI in rodents. It is known that DTI shows changes after human concussion and the role of delineating imaging findings in animals is therefore to facilitate understanding of related mechanisms. In this work, we used a rodent model of mTBI to investigate longitudinal indices of axonal injury. We present the results of 45 animals that received magnetic resonance imaging (MRI) at multiple time points over a 2-week period following concussive or sham injury yielding 109 serial observations. Overall, the evolution of DTI metrics following concussive or sham injury differed by group. Diffusion tensor imaging changes within the white matter were most noticeable 1 week following injury and returned to baseline values after 2 weeks. More specifically, we observed increased fractional anisotropy in combination with decreased radial diffusivity and mean diffusivity, in the absence of changes in axial diffusivity, within the white matter of the genu corpus callosum at 1 week post-injury. Our study shows that DTI can detect microstructural white matter changes in the absence of gross abnormalities as indicated by visual screening of anatomical MRI and hematoxylin and eosin (H&E)-stained sections in a clinically relevant animal model of mTBI. Whereas additional histopathologic characterization is required to better understand the neurobiological correlates of DTI measures, our findings highlight the evolving nature of the brain’s response to injury following concussion.
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Affiliation(s)
- Wouter S Hoogenboom
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Department of Clinical Investigation, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Todd G Rubin
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Kenny Ye
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Min-Hui Cui
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Kelsey C Branch
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Jinyuan Liu
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Craig A Branch
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Department of Physiology and Biophysics, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Michael L Lipton
- The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.,Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
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88
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Hawks Z, Hood AM, Lerman-Sinkoff DB, Shimony JS, Rutlin J, Lagoni D, Grange DK, White DA. White and gray matter brain development in children and young adults with phenylketonuria. NEUROIMAGE-CLINICAL 2019; 23:101916. [PMID: 31491833 PMCID: PMC6627563 DOI: 10.1016/j.nicl.2019.101916] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 05/09/2019] [Accepted: 06/29/2019] [Indexed: 12/27/2022]
Abstract
Phenylketonuria (PKU) is a recessive disorder characterized by disruption in the metabolism of the amino acid phenylalanine (Phe). Prior research indicates that individuals with PKU have substantial white matter (WM) compromise. Much less is known about gray matter (GM) in PKU, but a small body of research suggests volumetric differences compared to controls. To date, developmental trajectories of GM structure in individuals with PKU have not been examined, nor have trajectories of WM and GM been examined within a single study. To address this gap in the literature, we compared longitudinal brain development over a three-year period in individuals with PKU (n = 35; 18 male) and typically-developing controls (n = 71; 35 male) aged 7–21 years. Using diffusion tensor imaging (DTI) and structural magnetic resonance imaging (MRI), we observed whole-brain and regional WM differences between individuals with PKU and controls, which were often exacerbated with increasing age. In marked contrast with trajectories of WM development, trajectories of GM development did not differ between individuals with PKU and controls, indicating that neuropathology in PKU is more prominent in WM than GM. Within individuals with PKU, mediation analyses revealed that whole-brain mean diffusivity (MD) and regional MD in the corpus callosum and centrum semiovale mediated the relationship between dietary treatment compliance (i.e., Phe control) and executive abilities, suggesting a plausible neurobiological mechanism by which Phe control may influence cognitive outcomes. Our findings clarify the specificity, timing, and cognitive consequences of whole-brain and regional WM pathology, with implications for treatment and research in PKU. Individuals with PKU exhibited widespread, age-related white matter compromise. Developmental trajectories of gray matter were comparable for PKU and controls. Within PKU, white matter compromise influenced cognitive outcomes.
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Affiliation(s)
- Zoë Hawks
- Department of Psychological & Brain Sciences, Campus Box 1125, Washington University, St. Louis, MO, United States.
| | - Anna M Hood
- Department of Psychological & Brain Sciences, Campus Box 1125, Washington University, St. Louis, MO, United States.
| | - Dov B Lerman-Sinkoff
- Department of Psychological & Brain Sciences, Campus Box 1125, Washington University, St. Louis, MO, United States; Department of Biomedical Engineering, Washington University, St. Louis, MO, United States
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Jerrel Rutlin
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Daniel Lagoni
- Department of Psychological & Brain Sciences, Campus Box 1125, Washington University, St. Louis, MO, United States
| | - Dorothy K Grange
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States
| | - Desirée A White
- Department of Psychological & Brain Sciences, Campus Box 1125, Washington University, St. Louis, MO, United States; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States
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89
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Georgiopoulos C, Witt ST, Haller S, Dizdar N, Zachrisson H, Engström M, Larsson EM. Olfactory fMRI: Implications of Stimulation Length and Repetition Time. Chem Senses 2019; 43:389-398. [PMID: 29726890 DOI: 10.1093/chemse/bjy025] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Studying olfaction with functional magnetic resonance imaging (fMRI) poses various methodological challenges. This study aimed to investigate the effects of stimulation length and repetition time (TR) on the activation pattern of 4 olfactory brain regions: the anterior and the posterior piriform cortex, the orbitofrontal cortex, and the insula. Twenty-two healthy participants with normal olfaction were examined with fMRI, with 2 stimulation lengths (6 s and 15 s) and 2 TRs (0.901 s and 1.34 s). Data were analyzed using General Linear Model (GLM), Tensorial Independent Component Analysis (TICA), and by plotting the event-related time course of brain activation in the 4 olfactory regions of interest. The statistical analysis of the time courses revealed that short TR was associated with more pronounced signal increase and short stimulation was associated with shorter time to peak signal. Additionally, both long stimulation and short TR were associated with oscillatory time courses, whereas both short stimulation and short TR resulted in more typical time courses. GLM analysis showed that the combination of short stimulation and short TR could result in visually larger activation within these olfactory areas. TICA validated that the tested paradigm was spatially and temporally associated with a functionally connected network that included all 4 olfactory regions. In conclusion, the combination of short stimulation and short TR is associated with higher signal increase and shorter time to peak, making it more amenable to standard GLM-type analyses than long stimulation and long TR, and it should, thus, be preferable for olfactory fMRI.
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Affiliation(s)
- Charalampos Georgiopoulos
- Department of Radiology and Department of Medical and Health Sciences, Linköping University, Röntgenkliniken, Universitetssjukhuset, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, University Hospital, Linköping, Sweden
| | - Suzanne T Witt
- Center for Medical Image Science and Visualization (CMIV), Linköping University, University Hospital, Linköping, Sweden
| | - Sven Haller
- Affidea CDRC Centre de Diagnostic Radiologique de Carouge SA, clos de la Fonderie, Geneva, Switzerland.,Department of Surgical Sciences/Radiology, Uppsala University, Akademiska sjukhuset Uppsala, Sweden
| | - Nil Dizdar
- Department of Neurology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Helene Zachrisson
- Department of Clinical Physiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Maria Engström
- Center for Medical Image Science and Visualization (CMIV), Linköping University, University Hospital, Linköping, Sweden.,Department of Medical and Health Sciences, Linköping University, Sandbäcksgatan, Linköping, Sweden
| | - Elna-Marie Larsson
- Department of Surgical Sciences/Radiology, Uppsala University, Akademiska sjukhuset Uppsala, Sweden
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90
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Bouts MJRJ, van der Grond J, Vernooij MW, Koini M, Schouten TM, de Vos F, Feis RA, Cremers LGM, Lechner A, Schmidt R, de Rooij M, Niessen WJ, Ikram MA, Rombouts SARB. Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification. Hum Brain Mapp 2019; 40:2711-2722. [PMID: 30803110 PMCID: PMC6563478 DOI: 10.1002/hbm.24554] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 01/30/2019] [Accepted: 02/09/2019] [Indexed: 01/18/2023] Open
Abstract
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the generalizability of MRI-based classification probability scores to detect MCI on an individual basis within a general population. To determine classification probability scores, an AD, mild-AD, and moderate-AD detection model were created with anatomical and diffusion MRI measures calculated from a clinical Alzheimer's Disease (AD) cohort and subsequently applied to a population-based cohort with 48 MCI and 617 normal aging subjects. Each model's ability to detect MCI was quantified using area under the receiver operating characteristic curve (AUC) and compared with an MCI detection model trained and applied to the population-based cohort. The AD-model and mild-AD identified MCI from controls better than chance level (AUC = 0.600, p = 0.025; AUC = 0.619, p = 0.008). In contrast, the moderate-AD-model was not able to separate MCI from normal aging (AUC = 0.567, p = 0.147). The MCI-model was able to separate MCI from controls better than chance (p = 0.014) with mean AUC values comparable with the AD-model (AUC = 0.611, p = 1.0). Within our population-based cohort, classification models detected MCI better than chance. Nevertheless, classification performance rates were moderate and may be insufficient to facilitate robust MRI-based MCI detection on an individual basis. Our data indicate that multiparametric MRI-based classification algorithms, that are effective in clinical cohorts, may not straightforwardly translate to applications in a general population.
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Affiliation(s)
- Mark J. R. J. Bouts
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
| | | | - Meike W. Vernooij
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Marisa Koini
- Department of NeurologyMedical University of GrazAustria
| | - Tijn M. Schouten
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
| | - Frank de Vos
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
| | - Rogier A. Feis
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
| | - Lotte G. M. Cremers
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Anita Lechner
- Department of NeurologyMedical University of GrazAustria
| | | | - Mark de Rooij
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
| | - Wiro J. Niessen
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of Medical InformaticsErasmus MC University Medical CenterRotterdamthe Netherlands
- Faculty of Applied SciencesDelft University of TechnologyDelftthe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of NeurologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Serge A. R. B. Rombouts
- Institute of PsychologyLeiden UniversityLeidenthe Netherlands
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Leiden Institute for Brain and CognitionLeiden UniversityLeidenthe Netherlands
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91
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Fan X, Duan Y, Cheng S, Zhang Y, Cheng H. Fast density-peaks clustering for registration-free pediatric white matter tract analysis. Artif Intell Med 2019; 96:1-11. [PMID: 31164202 DOI: 10.1016/j.artmed.2019.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 02/27/2019] [Accepted: 03/01/2019] [Indexed: 11/25/2022]
Abstract
Clustering white matter (WM) tracts from diffusion tensor imaging (DTI) is primarily important for quantitative analysis on pediatric brain development. A recently developed algorithm, density peaks (DP) clustering, demonstrates great robustness to the complex structural variations of WM tracts without any prior templates. Nevertheless, the calculation of densities, the core step of DP, is time consuming especially when the number of WM fibers is huge. In this paper, we propose a fast algorithm that accelerates the density computation about 50 times over the original one. We convert the global calculation for the density as well as critical parameter in the process into local computations, and develop a binary tree structure to orderly store the neighbors for these local computations. Hence, the density computation turns out to be a direct access of the structure, rendering significantly computational saving. Performing experiments on synthetic point data and the JHU-DTI data set and comparing results of our fast DP algorithm and existing clustering methods, we can validate the efficiency and effectiveness of our fast DP algorithm. Finally, we demonstrate the application of the proposed algorithm on the analysis of pediatric WM tract development.
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Affiliation(s)
- Xin Fan
- DUT-RU International School of Information Science and Technology, Dalian University of Technology, Dalian, China; Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China
| | - Yuzhuo Duan
- DUT-RU International School of Information Science and Technology, Dalian University of Technology, Dalian, China; Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China
| | - Shichao Cheng
- Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China; School of Mathematical Science, Dalian University of Technology, Dalian, China
| | - Yuxi Zhang
- DUT-RU International School of Information Science and Technology, Dalian University of Technology, Dalian, China; Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China
| | - Hua Cheng
- Department of Radiology, Beijing Children's Hospital, Captital Medical University, National Center for Children's Health, China.
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92
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Food knowledge depends upon the integrity of both sensory and functional properties: a VBM, TBSS and DTI tractography study. Sci Rep 2019; 9:7439. [PMID: 31092880 PMCID: PMC6520382 DOI: 10.1038/s41598-019-43919-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 04/12/2019] [Indexed: 11/30/2022] Open
Abstract
Food constitutes a fuel of life for human beings. It is therefore of chief importance that their recognition system readily identifies the most relevant properties of food by drawing on semantic memory. One of the most relevant properties to be considered is the level of processing impressed by humans on food. We hypothesized that recognition of raw food capitalizes on sensory properties and that of transformed food on functional properties, consistently with the hypothesis of a sensory-functional organization of semantic knowledge. To test this hypothesis, patients with Alzheimer’s disease, frontotemporal dementia, primary progressive aphasia, and healthy controls performed lexical-semantic tasks with food (raw and transformed) and non-food (living and nonliving) stimuli. Correlations between task performance and local grey matter concentration (VBM) and white matter fractional anisotropy (TBSS) led to two main findings. First, recognition of raw food and living things implicated occipital cortices, typically involved in processing sensory information and, second, recognition of processed food and nonliving things implicated the middle temporal gyrus and surrounding white matter tracts, regions that have been associated with functional properties. In conclusion, the present study confirms and extends the hypothesis of a sensory and a functional organization of semantic knowledge.
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93
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Jin C, Li Y, Li X, Liu C, Wang M, Cheng Y, Zheng J, Yang J. Associations of gestational age and birth anthropometric indicators with brain white matter maturation in full-term neonates. Hum Brain Mapp 2019; 40:3620-3630. [PMID: 31056805 DOI: 10.1002/hbm.24620] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 04/08/2019] [Accepted: 04/25/2019] [Indexed: 01/09/2023] Open
Abstract
Newborn assessments, including gestational age (GA) and anthropometric measurements (birth weight, crown-heel length, head circumference) are routinely performed in pediatric settings, being used as important indicators in assessing neonatal development. Close associations of these birth indicators with later cognitive abilities were also reported. However, specific associations of these indicators with white matter (WM) development during the neonatal period remain unclear, as well as the extent to which they influence WM maturation. To address this issue, 51 full-term neonates (GA range, 37-42 weeks) with no abnormalities on MRI were retrospectively recruited. Specific correlations between birth indicators and WM maturation, quantified by diffusion tensor imaging (DTI)-metrics (fractional anisotropy, mean diffusivity, axial diffusivity, radial diffusivity), were identified by using DTI tract-based spatial statistics and automated fiber-tract quantification. Our findings suggest that (a) higher GA, birth weight, and crown-heel length may indicate greater WM maturation in full-term neonates, while head circumference presented weak correlation with WM maturation during early newborn period; (b) among the four indicators examined, GA was the one most associated with WM maturation. We believe that this study advances our knowledge of specific correlations between birth indicators and neonatal brain development and provides a valuable reference for future neonatal studies.
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Affiliation(s)
- Chao Jin
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Yanyan Li
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Xianjun Li
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Congcong Liu
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Miaomiao Wang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Yannan Cheng
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Jie Zheng
- Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Jian Yang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
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94
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Tarumi T, Thomas BP, Wang C, Zhang L, Liu J, Turner M, Riley J, Tangella N, Womack KB, Kerwin DR, Cullum CM, Lu H, Vongpatanasin W, Zhu DC, Zhang R. Ambulatory pulse pressure, brain neuronal fiber integrity, and cerebral blood flow in older adults. J Cereb Blood Flow Metab 2019; 39:926-936. [PMID: 29219028 PMCID: PMC6501504 DOI: 10.1177/0271678x17745027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Ambulatory blood pressure (ABP) reflects the end-organ vascular stress in daily life; however, its influence on brain neuronal fiber integrity and cerebral blood flow (CBF) remains unclear. The objective of this study was to determine the associations among ABP, white matter (WM) neuronal fiber integrity, and CBF in older adults. We tested 144 participants via ABP monitoring and diffusion tensor imaging. The total level and pulsatile indices of CBF were measured by phase-contrast MRI and transcranial Doppler, respectively. Neuropsychological assessment was conducted in 72 participants. Among ambulatory and office BP measures, elevated 24-h pulse pressure (PP) was associated with the greatest number of WM skeleton voxels with decreased fractional anisotropy (FA) and increased mean diffusivity (MD). Furthermore, these associations remained significant after adjusting for age, antihypertensive use, aortic stiffness, WM lesion volume, and office PP. Radial diffusivity (RD) was elevated in the regions with decreased FA, while axial diffusivity was unaltered. The reduction in diastolic index explained a significant proportion of the individual variability in FA, MD, and RD. Executive function performance was correlated with WM fiber integrity. These findings suggest that elevated ambulatory PP may deteriorate brain neuronal fiber integrity via reduction in diastolic index.
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Affiliation(s)
- Takashi Tarumi
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA.,2 Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Binu P Thomas
- 3 Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ciwen Wang
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA
| | - Li Zhang
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA.,4 Department of Ultrasound Diagnostics, Fourth Military Medical University, Xi'an, China
| | - Jie Liu
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA.,4 Department of Ultrasound Diagnostics, Fourth Military Medical University, Xi'an, China
| | - Marcel Turner
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA
| | - Jonathan Riley
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA
| | - Nikita Tangella
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA
| | - Kyle B Womack
- 2 Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA.,5 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Diana R Kerwin
- 6 Texas Alzheimer's and Memory Disorders, Texas Health Presbyterian Hospital, Dallas, TX, USA
| | - C Munro Cullum
- 2 Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA.,5 Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Hanzhang Lu
- 3 Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Wanpen Vongpatanasin
- 7 Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - David C Zhu
- 8 Department of Radiology, Cognitive Imaging Research Center, Michigan State University, Lansing, MI, USA.,9 Department of Psychology, Cognitive Imaging Research Center, Michigan State University, Lansing, MI, USA
| | - Rong Zhang
- 1 Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, USA.,2 Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA.,7 Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
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95
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Lateralisation of the white matter microstructure associated with the hemispheric spatial attention dominance. PLoS One 2019; 14:e0216032. [PMID: 31026280 PMCID: PMC6485922 DOI: 10.1371/journal.pone.0216032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 04/13/2019] [Indexed: 11/19/2022] Open
Abstract
Objectives Healthy people have a slight leftward bias of spatial attention as measured on the Landmark task. Former studies indicated that lateralisation of brain activation contributes to this attentional bias. In this study we hypothesised that if the spatial bias was consistent over several measurements there would be structural background of it. Methods Reproducibility of the spatial bias of visuo-spatial attention was measured in twenty healthy subject in a Landmark task over three consecutive days. In order to evaluate the correlation between the spatial attentional bias and the white matter microstructure high angular resolution diffusion MRI was acquired for each subjects. The Track Based Spatial Statistics method was used to measure the hemispheric differences of the white matter microstructure. Probabilistic tractography was used to reveal the connection of the identified regions. Results The analysis showed correlation between the behavioural scores and the lateralisation of the white matter microstructure in the parietal white matter (p<0.05, corrected for multiple correlations). Higher FA values on the left are associated to rightward bias. The parietal cluster showed connectivity along the superior longitudinal fascicle on one end to posterior parietal cortex and anteriorly to the putative frontal eye field. From the frontal eye field some of the fibres run towards the nodes of the dorsal attention network to the intraparietal suclus, while some of the fibres travelled toward to ventral attention network to the temporo-parietal junction. Conclusions These results indicate that the structural integrity dorsal fronto-parietal network and the connection between the dorsal and ventral attention networks are responsible for the attentional bias in normal healthy controls.
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96
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Merisaari H, Tuulari JJ, Karlsson L, Scheinin NM, Parkkola R, Saunavaara J, Lähdesmäki T, Lehtola SJ, Keskinen M, Lewis JD, Evans AC, Karlsson H. Test-retest reliability of Diffusion Tensor Imaging metrics in neonates. Neuroimage 2019; 197:598-607. [PMID: 31029873 DOI: 10.1016/j.neuroimage.2019.04.067] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 04/17/2019] [Accepted: 04/24/2019] [Indexed: 01/26/2023] Open
Abstract
Diffusion tensor imaging (DTI) has been widely used in children and adults to study the microstructural features of the brain. Its use in neonate brains has been limited. Neonate brains are almost completely unmyelinated, and this together with the tendency for babies to move during a scanning session may affect the reliability of the measurements. Here we divided a 96 direction acquisition into three segments, and analysed the intra scan test-retest reliability for pairs of segments. Each segment was subjected to a rigorous quality control, and from the surviving data we chose 25 diffusion encoding directions from each segment, and assessed the pairwise reliability of the most common DTI metrics. This pairwise reliability was assessed for data from 86 infants. We used tract-based spatial statistics (TBSS), voxelwise and ROI analysis schemes, to see potential differential effects of analysis strategy and post processing on the obtained DTI metrics. We found that intra class correlation coefficient (ICC) values were generally high (ICC > 0.80). Residual motion in the data, after quality control, was not found to associate with the diffusion metrics. The results indicate that DTI metrics from neonate data can be reliable, even at relatively low angular resolution that are common for neonate scans. The results lend confidence to the use of neonate DTI data in cross sectional and longitudinal analyses in brain white matter skeleton. Future studies should assess the reliability of fiber tracking techniques in neonate data.
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Affiliation(s)
- Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Future Technologies, University of Turku, Finland; Center of Biomedical Engineering and Personalized Medicine, Case Western Reserve University, Cleveland, OH, USA.
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland; Turku Collegium for Science and Medicine, University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Child Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Noora M Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Tuire Lähdesmäki
- Department of Pediatric Neurology, Turku University Hospital and University of Turku, Finland
| | - Satu J Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Maria Keskinen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - John D Lewis
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Alan C Evans
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
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97
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Weber B, Koschutnig K, Schwerdtfeger A, Rominger C, Papousek I, Weiss EM, Tilp M, Fink A. Learning Unicycling Evokes Manifold Changes in Gray and White Matter Networks Related to Motor and Cognitive Functions. Sci Rep 2019; 9:4324. [PMID: 30867464 PMCID: PMC6416294 DOI: 10.1038/s41598-019-40533-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 02/18/2019] [Indexed: 11/09/2022] Open
Abstract
A three-week unicycling training was associated with (1) reductions of gray matter volume in regions closely linked to visuospatial processes such as spatial awareness, (2) increases in fractional anisotropy primarily in the right corticospinal tract and in the right forceps major of the corpus callosum, and (3) a slowly evolving increase in cortical thickness in the left motor cortex. Intriguingly, five weeks later, during which participants were no longer regularly engaged in unicycling, a re-increase in gray matter was found in the very same region of the rSTG. These changes in gray and white matter morphology were paralleled by increases in unicycling performance, and by improvements in postural control, which diminished until the follow-up assessments. Learning to ride a unicycle results in reorganization of different types of brain tissue facilitating more automated postural control, clearly demonstrating that learning a complex balance task modulates brain structure in manifold and highly dynamic ways.
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Affiliation(s)
- Bernhard Weber
- Institute of Psychology, University of Graz, Graz, Austria
| | - Karl Koschutnig
- Institute of Psychology, BioTechMed Graz, University of Graz, Graz, Austria.
| | | | | | - Ilona Papousek
- Institute of Psychology, University of Graz, Graz, Austria
| | | | - Markus Tilp
- Institute of Sports Sciences, University of Graz, Graz, Austria
| | - Andreas Fink
- Institute of Psychology, University of Graz, Graz, Austria
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98
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Wang Q, Wang Y, Liu J, Sutphen CL, Cruchaga C, Blazey T, Gordon BA, Su Y, Chen C, Shimony JS, Ances BM, Cairns NJ, Fagan AM, Morris JC, Benzinger TLS. Quantification of white matter cellularity and damage in preclinical and early symptomatic Alzheimer's disease. Neuroimage Clin 2019; 22:101767. [PMID: 30901713 PMCID: PMC6428957 DOI: 10.1016/j.nicl.2019.101767] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 02/12/2019] [Accepted: 03/10/2019] [Indexed: 02/08/2023]
Abstract
Interest in understanding the roles of white matter (WM) inflammation and damage in the pathophysiology of Alzheimer disease (AD) has been growing significantly in recent years. However, in vivo magnetic resonance imaging (MRI) techniques for imaging inflammation are still lacking. An advanced diffusion-based MRI method, neuro-inflammation imaging (NII), has been developed to clinically image and quantify WM inflammation and damage in AD. Here, we employed NII measures in conjunction with cerebrospinal fluid (CSF) biomarker classification (for β-amyloid (Aβ) and neurodegeneration) to evaluate 200 participants in an ongoing study of memory and aging. Elevated NII-derived cellular diffusivity was observed in both preclinical and early symptomatic phases of AD, while disruption of WM integrity, as detected by decreased fractional anisotropy (FA) and increased radial diffusivity (RD), was only observed in the symptomatic phase of AD. This may suggest that WM inflammation occurs earlier than WM damage following abnormal Aβ accumulation in AD. The negative correlation between NII-derived cellular diffusivity and CSF Aβ42 level (a marker of amyloidosis) may indicate that WM inflammation is associated with increasing Aβ burden. NII-derived FA also negatively correlated with CSF t-tau level (a marker of neurodegeneration), suggesting that disruption of WM integrity is associated with increasing neurodegeneration. Our findings demonstrated the capability of NII to simultaneously image and quantify WM cellularity changes and damage in preclinical and early symptomatic AD. NII may serve as a clinically feasible imaging tool to study the individual and composite roles of WM inflammation and damage in AD.
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Affiliation(s)
- Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA
| | - Yong Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA; Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University School of Engineering & Applied Science, St. Louis, MO 63015, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Jingxia Liu
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Courtney L Sutphen
- Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Carlos Cruchaga
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tyler Blazey
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Brian A Gordon
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ 85006, USA
| | - Charlie Chen
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Beau M Ances
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nigel J Cairns
- Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA; Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Anne M Fagan
- Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - John C Morris
- Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Knight Alzheimer's Disease Research Center, 4488 Forest Park, Suite 101, St. Louis, MO 63108, USA; Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, USA
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Xiong Y, Zhang S, Shi J, Fan Y, Zhang Q, Zhu W. Application of neurite orientation dispersion and density imaging to characterize brain microstructural abnormalities in type-2 diabetics with mild cognitive impairment. J Magn Reson Imaging 2019; 50:889-898. [PMID: 30779402 DOI: 10.1002/jmri.26687] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 02/05/2019] [Accepted: 02/05/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diffusion-tensor-imaging (DTI) is sensitive in detecting white matter changes in type-2 diabetes mellitus (T2DM). However, DTI indices can be affected by either neurite density or spatial variation. A novel diffusion MRI technique, termed neurite orientation dispersion and density imaging (NODDI), can provide distinct indices of fiber density and dispersion. PURPOSE To characterize brain microstructural alterations in T2DM patients with mild cognitive impairment (MCI) using the NODDI model. STUDY TYPE Cross-sectional. SUBJECTS Twenty T2DM patients with (DM-MCI group), 18 age- and gender-matched T2DM patients with normal cognition (DM-NC group), and 28 euglycemic healthy controls (HC). FIELD STRENGTH/SEQUENCE 3T/NODDI. ASSESSMENT Diffusion data were analyzed using tract-based-spatial-statistics (TBSS) analysis in white matter and voxel-based analysis in both white and gray matter. NODDI indices, including intracellular volume fraction (Vic) and orientation dispersion index (ODI), were estimated from multiple regions and compared among these groups. STATISTICAL TESTS Differences between groups were compared by Student's t-test, Pearson chi-square test, or analysis of variance when appropriate. Correlation analyses were performed to investigate the relationship between NODDI variables and clinical measurements. RESULTS Whole-brain TBSS revealed that 2.29% and 2.02% of the white matter regions exhibited decreased fractional anisotropy and Vic, respectively, between the DM-NC and HC, while considerably larger white matter areas showed decreased fractional anisotropy (38.38%) and Vic (34.64%) between the DM-MCI and HC (Student's t-test, P < 0.05). However, the angular variation of neurites, characterized by ODI, exhibited very little (0.1%, P < 0.05) or no difference (P > 0.05) between either the DM-MCI or DM-NC groups and HC. Decreased Vic values in the genu of the corpus callosum (R = 0.580, 0.551 and 0.586, P < 0.01) and thalamus (R = 0.570, 0.616, and 0.595, P < 0.05) correlated with glycosylated hemoglobin A1c level, disease duration, and neuropsychological scores, respectively. DATA CONCLUSION T2DM patients with cognitive decline had reduced Vic, which indicated decreased density of axons and dendrites. NODDI might be able to help probe microstructural changes in white and gray matter and provide information on diabetic encephalopathy, including those with cognitive impairment. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:889-898.
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Affiliation(s)
- Ying Xiong
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuoqi Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingjing Shi
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Qiang Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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100
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Liu G, Lyu G, Yang N, Chen B, Yang J, Hu Y, Lei Y, Xia J, Lin F, Fan G. Abnormalities of diffusional kurtosis imaging and regional homogeneity in idiopathic generalized epilepsy with generalized tonic-clonic seizures. Exp Ther Med 2019; 17:603-612. [PMID: 30651841 PMCID: PMC6307453 DOI: 10.3892/etm.2018.7018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 12/15/2017] [Indexed: 11/05/2022] Open
Abstract
Neuroimaging techniques have been used to investigate idiopathic generalized epilepsy with generalized tonic-clonic seizures (IGE-GTCS) and different studies employing these methods have produced varying results. However, there have been few studies exploring diffusional kurtosis imaging (DKI) and regional homogeneity (ReHo) techniques in patients with IGE-GTCS. In the current study, resting-state functional magnetic resonance imaging (fMRI) and DKI data were collected from 28 patients with IGE-GTCS and 28 healthy controls. The ReHo method and tract-based spatial statistical (TBSS) analysis were performed to compare differences between the groups. Compared with healthy controls, patients with IGE-GTCS exhibited markedly increased ReHo in the bilateral putamen, the thalamus, right pallidum, right supplementary motor area and the bilateral paracentral lobules. Compared with healthy controls, patients with IGE-GTCS also exhibited markedly decreased ReHo in the posterior cingulate/precuneus, left angular gyrus and dorsolateral prefrontal cortex. In patients with IGE-GTCS, DKI revealed lower fractional anisotropy in the left anterior/superior corona radiata, left superior longitudinal fasciculus and genu/body of the corpus callosum. Higher mean diffusivity was detected in the bilateral anterior corona radiata, left superior corona radiata, left cingulum, and genu/body/splenium of the corpus callosum. Furthermore, reduced mean kurtosis values were identified over the bilateral superior/posterior corona radiate, left anterior corona radiata, right superior longitudinal fasciculus, left posterior thalamic radiation and the genu/body/splenium of the corpus callosum. Therefore, the results of the current study revealed abnormalities in spontaneous activity in the gray and white matter tracts in patients with IGE-GTCS. These results suggest that novel MRI technology may be useful to help determine the pathogenesis of IGE-GTCS.
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Affiliation(s)
- Guohao Liu
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China
| | - Guiwen Lyu
- Department of Radiology, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong 518035, P.R. China
| | - Na Yang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China
| | - Boyu Chen
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China
| | - Jian Yang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China
| | - Yiwen Hu
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China
| | - Yi Lei
- Department of Radiology, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong 518035, P.R. China
| | - Jun Xia
- Department of Radiology, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong 518035, P.R. China
| | - Fan Lin
- Department of Radiology, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong 518035, P.R. China
| | - Guoguang Fan
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China
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