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Lim L, Talozzi L, Howells H. Atypical brain structural connectivity and social cognition in childhood maltreatment and peer victimisation. BMC Psychiatry 2024; 24:287. [PMID: 38627646 PMCID: PMC11022413 DOI: 10.1186/s12888-024-05759-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/11/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Childhood maltreatment (CM) is associated with neurobiological aberrations and atypical social cognition. Few studies have examined the neural effects of another common early-life interpersonal stressor, namely peer victimisation (PV). This study examines the associations between tract aberrations and childhood interpersonal stress from caregivers (CM) and peers (PV), and explores how the observed tract alterations are in turn related to affective theory of mind (ToM). METHODS Data from 107 age-and gender-matched youths (34 CM [age = 19.9 ± 1.68; 36%male], 35 PV [age = 19.9 ± 1.65; 43%male], 38 comparison subjects [age = 20.0 ± 1.66; 42%male] were analysed using tractography and whole-brain tract-based spatial statistics (TBSS). RESULTS At the whole-brain level using TBSS, the CM group had higher fractional anisotropy (FA) than the PV and comparison groups in a cluster of predominantly limbic and corpus callosal pathways. Segmented tractography indicated the CM group had higher FA in right uncinate fasciculus compared to both groups. They also had smaller right anterior thalamic radiation (ATR) tract volume than the comparison group and higher left ATR FA than the PV group, with these metrics associated with higher emotional abuse and enhanced affective ToM within the CM group, respectively. The PV group had lower inferior fronto-occipital fasciculus FA than the other two groups, which was related to lower affective ToM within the PV group. CONCLUSION Findings suggest that exposure to early-life stress from caregivers and peers are differentially associated with alterations of neural pathways connecting the frontal, temporal and occipital cortices involved in cognitive and affective control, with possible links to their atypical social cognition.
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Affiliation(s)
- Lena Lim
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK.
| | - Lia Talozzi
- Neurology and Neurological Sciences, Stanford University, California, USA
| | - Henrietta Howells
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, University of Milan and Humanitas Research Hospital, Milan, Italy
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2
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Lang M, Colby S, Ashby-Padial C, Bapna M, Jaimes C, Rincon SP, Buch K. An imaging review of the hippocampus and its common pathologies. J Neuroimaging 2024; 34:5-25. [PMID: 37872430 DOI: 10.1111/jon.13165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 10/07/2023] [Accepted: 10/12/2023] [Indexed: 10/25/2023] Open
Abstract
The hippocampus is a complex structure located in the mesial temporal lobe that plays a critical role in cognitive and memory-related processes. The hippocampal formation consists of the dentate gyrus, hippocampus proper, and subiculum, and its importance in the neural circuitry makes it a key anatomic structure to evaluate in neuroimaging studies. Advancements in imaging techniques now allow detailed assessment of hippocampus internal architecture and signal features that has improved identification and characterization of hippocampal abnormalities. This review aims to summarize the neuroimaging features of the hippocampus and its common pathologies. It provides an overview of the hippocampal anatomy on magnetic resonance imaging and discusses how various imaging techniques can be used to assess the hippocampus. The review explores neuroimaging findings related to hippocampal variants (incomplete hippocampal inversion, sulcal remnant and choroidal fissure cysts), and pathologies of neoplastic (astrocytoma and glioma, ganglioglioma, dysembryoplastic neuroepithelial tumor, multinodular and vacuolating neuronal tumor, and metastasis), epileptic (mesial temporal sclerosis and focal cortical dysplasia), neurodegenerative (Alzheimer's disease, progressive primary aphasia, and frontotemporal dementia), infectious (Herpes simplex virus and limbic encephalitis), vascular (ischemic stroke, arteriovenous malformation, and cerebral cavernous malformations), and toxic-metabolic (transient global amnesia and opioid-associated amnestic syndrome) etiologies.
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Affiliation(s)
- Min Lang
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Samantha Colby
- Department of Neurosurgery, University of Utah Health, Salt Lake City, Utah, USA
| | | | - Monika Bapna
- School of Medicine, Georgetown University, Washington, DC, USA
| | - Camilo Jaimes
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Sandra P Rincon
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Karen Buch
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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3
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Kristensen TD, Raghava JM, Skjerbæk MW, Dhollander T, Syeda W, Ambrosen KS, Bojesen KB, Nielsen MØ, Pantelis C, Glenthøj BY, Ebdrup BH. Fibre density and fibre-bundle cross-section of the corticospinal tract are distinctly linked to psychosis-specific symptoms in antipsychotic-naïve patients with first-episode schizophrenia. Eur Arch Psychiatry Clin Neurosci 2023; 273:1797-1812. [PMID: 37012463 PMCID: PMC10713712 DOI: 10.1007/s00406-023-01598-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 03/20/2023] [Indexed: 04/05/2023]
Abstract
Multiple lines of research support the dysconnectivity hypothesis of schizophrenia. However, findings on white matter (WM) alterations in patients with schizophrenia are widespread and non-specific. Confounding factors from magnetic resonance image (MRI) processing, clinical diversity, antipsychotic exposure, and substance use may underlie some of the variability. By application of refined methodology and careful sampling, we rectified common confounders investigating WM and symptom correlates in a sample of strictly antipsychotic-naïve first-episode patients with schizophrenia. Eighty-six patients and 112 matched controls underwent diffusion MRI. Using fixel-based analysis (FBA), we extracted fibre-specific measures such as fibre density and fibre-bundle cross-section. Group differences on fixel-wise measures were examined with multivariate general linear modelling. Psychopathology was assessed with the Positive and Negative Syndrome Scale. We separately tested multivariate correlations between fixel-wise measures and predefined psychosis-specific versus anxio-depressive symptoms. Results were corrected for multiple comparisons. Patients displayed reduced fibre density in the body of corpus callosum and in the middle cerebellar peduncle. Fibre density and fibre-bundle cross-section of the corticospinal tract were positively correlated with suspiciousness/persecution, and negatively correlated with delusions. Fibre-bundle cross-section of isthmus of corpus callosum and hallucinatory behaviour were negatively correlated. Fibre density and fibre-bundle cross-section of genu and splenium of corpus callosum were negative correlated with anxio-depressive symptoms. FBA revealed fibre-specific properties of WM abnormalities in patients and differentiated associations between WM and psychosis-specific versus anxio-depressive symptoms. Our findings encourage an itemised approach to investigate the relationship between WM microstructure and clinical symptoms in patients with schizophrenia.
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Affiliation(s)
- Tina D Kristensen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark.
| | - Jayachandra M Raghava
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Glostrup, Denmark
| | - Martin W Skjerbæk
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark
| | - Thijs Dhollander
- Developmental Imaging, Murdoch Children's Research Institute, Victoria, Australia
| | - Warda Syeda
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia
| | - Karen S Ambrosen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark
| | - Kirsten B Bojesen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark
| | - Mette Ø Nielsen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christos Pantelis
- Developmental Imaging, Murdoch Children's Research Institute, Victoria, Australia
| | - Birte Y Glenthøj
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bjørn H Ebdrup
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Nordstjernevej 41, 2600, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Farmer AL, Lewis MH. Reduction of restricted repetitive behavior by environmental enrichment: Potential neurobiological mechanisms. Neurosci Biobehav Rev 2023; 152:105291. [PMID: 37353046 DOI: 10.1016/j.neubiorev.2023.105291] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 06/04/2023] [Accepted: 06/19/2023] [Indexed: 06/25/2023]
Abstract
Restricted repetitive behaviors (RRB) are one of two diagnostic criteria for autism spectrum disorder and common in other neurodevelopmental and psychiatric disorders. The term restricted repetitive behavior refers to a wide variety of inflexible patterns of behavior including stereotypy, self-injury, restricted interests, insistence on sameness, and ritualistic and compulsive behavior. However, despite their prevalence in clinical populations, their underlying causes remain poorly understood hampering the development of effective treatments. Intriguingly, numerous animal studies have demonstrated that these behaviors are reduced by rearing in enriched environments (EE). Understanding the processes responsible for the attenuation of repetitive behaviors by EE should offer insights into potential therapeutic approaches, as well as shed light on the underlying neurobiology of repetitive behaviors. This review summarizes the current knowledge of the relationship between EE and RRB and discusses potential mechanisms for EE's attenuation of RRB based on the broader EE literature. Existing gaps in the literature and future directions are also discussed.
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Affiliation(s)
- Anna L Farmer
- Department of Psychology, University of Florida, Gainesville, FL, USA.
| | - Mark H Lewis
- Department of Psychology, University of Florida, Gainesville, FL, USA; Department of Psychiatry, University of Florida, Gainesville, FL, USA
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Rios-Carrillo R, Ramírez-Manzanares A, Luna-Munguía H, Regalado M, Concha L. Differentiation of white matter histopathology using b-tensor encoding and machine learning. PLoS One 2023; 18:e0282549. [PMID: 37352195 PMCID: PMC10289327 DOI: 10.1371/journal.pone.0282549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 06/02/2023] [Indexed: 06/25/2023] Open
Abstract
Diffusion-weighted magnetic resonance imaging (DW-MRI) is a non-invasive technique that is sensitive to microstructural geometry in neural tissue and is useful for the detection of neuropathology in research and clinical settings. Tensor-valued diffusion encoding schemes (b-tensor) have been developed to enrich the microstructural data that can be obtained through DW-MRI. These advanced methods have proven to be more specific to microstructural properties than conventional DW-MRI acquisitions. Additionally, machine learning methods are particularly useful for the study of multidimensional data sets. In this work, we have tested the reach of b-tensor encoding data analyses with machine learning in different histopathological scenarios. We achieved this in three steps: 1) We induced different levels of white matter damage in rodent optic nerves. 2) We obtained ex vivo DW-MRI data with b-tensor encoding schemes and calculated quantitative metrics using Q-space trajectory imaging. 3) We used a machine learning model to identify the main contributing features and built a voxel-wise probabilistic classification map of histological damage. Our results show that this model is sensitive to characteristics of microstructural damage. In conclusion, b-tensor encoded DW-MRI data analyzed with machine learning methods, have the potential to be further developed for the detection of histopathology and neurodegeneration.
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Affiliation(s)
- Ricardo Rios-Carrillo
- Instituto de Neurobiologia, Universidad Nacional Autónoma de Mexico, Querétaro, México
| | | | - Hiram Luna-Munguía
- Instituto de Neurobiologia, Universidad Nacional Autónoma de Mexico, Querétaro, México
| | - Mirelta Regalado
- Instituto de Neurobiologia, Universidad Nacional Autónoma de Mexico, Querétaro, México
| | - Luis Concha
- Instituto de Neurobiologia, Universidad Nacional Autónoma de Mexico, Querétaro, México
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6
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Pisharady PK, Eberly LE, Adanyeguh IM, Manousakis G, Guliani G, Walk D, Lenglet C. Multimodal MRI improves diagnostic accuracy and sensitivity to longitudinal change in amyotrophic lateral sclerosis. COMMUNICATIONS MEDICINE 2023; 3:84. [PMID: 37328685 DOI: 10.1038/s43856-023-00318-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 06/06/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Recent advances in MRI acquisitions and image analysis have increased the utility of neuroimaging in understanding disease-related changes. In this work, we aim to demonstrate increased sensitivity to disease progression as well as improved diagnostic accuracy in Amyotrophic lateral sclerosis (ALS) with multimodal MRI of the brain and cervical spinal cord. METHODS We acquired diffusion MRI data from the brain and cervical cord, and T1 data from the brain, of 20 participants with ALS and 20 healthy control participants. Ten ALS and 14 control participants, and 11 ALS and 13 control participants were re-scanned at 6-month and 12-month follow-ups respectively. We estimated cross-sectional differences and longitudinal changes in diffusion metrics, cortical thickness, and fixel-based microstructure measures, i.e. fiber density and fiber cross-section. RESULTS We demonstrate improved disease diagnostic accuracy and sensitivity through multimodal analysis of brain and spinal cord metrics. The brain metrics also distinguished lower motor neuron-predominant ALS participants from control participants. Fiber density and cross-section provided the greatest sensitivity to longitudinal change. We demonstrate evidence of progression in a cohort of 11 participants with slowly progressive ALS, including in participants with very slow change in ALSFRS-R. More importantly, we demonstrate that longitudinal change is detectable at a six-month follow-up visit. We also report correlations between ALSFRS-R and the fiber density and cross-section metrics. CONCLUSIONS Our findings suggest that multimodal MRI is useful in improving disease diagnosis, and fixel-based measures may serve as potential biomarkers of disease progression in ALS clinical trials.
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Affiliation(s)
- Pramod Kumar Pisharady
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, 55455, USA.
| | - Lynn E Eberly
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, 55455, USA
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Isaac M Adanyeguh
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Georgios Manousakis
- Department of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Gaurav Guliani
- Department of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - David Walk
- Department of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Christophe Lenglet
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, 55455, USA
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Villaseñor PJ, Cortés-Servín D, Pérez-Moriel A, Aquiles A, Luna-Munguía H, Ramirez-Manzanares A, Coronado-Leija R, Larriva-Sahd J, Concha L. Multi-tensor diffusion abnormalities of gray matter in an animal model of cortical dysplasia. Front Neurol 2023; 14:1124282. [PMID: 37342776 PMCID: PMC10278582 DOI: 10.3389/fneur.2023.1124282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/18/2023] [Indexed: 06/23/2023] Open
Abstract
Focal cortical dysplasias are a type of malformations of cortical development that are a common cause of drug-resistant focal epilepsy. Surgical treatment is a viable option for some of these patients, with their outcome being highly related to complete surgical resection of lesions visible in magnetic resonance imaging (MRI). However, subtle lesions often go undetected on conventional imaging. Several methods to analyze MRI have been proposed, with the common goal of rendering subtle cortical lesions visible. However, most image-processing methods are targeted to detect the macroscopic characteristics of cortical dysplasias, which do not always correspond to the microstructural disarrangement of these cortical malformations. Quantitative analysis of diffusion-weighted MRI (dMRI) enables the inference of tissue characteristics, and novel methods provide valuable microstructural features of complex tissue, including gray matter. We investigated the ability of advanced dMRI descriptors to detect diffusion abnormalities in an animal model of cortical dysplasia. For this purpose, we induced cortical dysplasia in 18 animals that were scanned at 30 postnatal days (along with 19 control animals). We obtained multi-shell dMRI, to which we fitted single and multi-tensor representations. Quantitative dMRI parameters derived from these methods were queried using a curvilinear coordinate system to sample the cortical mantle, providing inter-subject anatomical correspondence. We found region- and layer-specific diffusion abnormalities in experimental animals. Moreover, we were able to distinguish diffusion abnormalities related to altered intra-cortical tangential fibers from those associated with radial cortical fibers. Histological examinations revealed myelo-architectural abnormalities that explain the alterations observed through dMRI. The methods for dMRI acquisition and analysis used here are available in clinical settings and our work shows their clinical relevance to detect subtle cortical dysplasias through analysis of their microstructural properties.
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Affiliation(s)
- Paulina J. Villaseñor
- Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
| | - David Cortés-Servín
- Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
| | | | - Ana Aquiles
- Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
| | - Hiram Luna-Munguía
- Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
| | | | - Ricardo Coronado-Leija
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States
| | - Jorge Larriva-Sahd
- Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
| | - Luis Concha
- Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
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8
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Rashidi F, Khanmirzaei MH, Hosseinzadeh F, Kolahchi Z, Jafarimehrabady N, Moghisseh B, Aarabi MH. Cingulum and Uncinate Fasciculus Microstructural Abnormalities in Parkinson's Disease: A Systematic Review of Diffusion Tensor Imaging Studies. BIOLOGY 2023; 12:biology12030475. [PMID: 36979166 PMCID: PMC10045759 DOI: 10.3390/biology12030475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/12/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023]
Abstract
Diffusion tensor imaging (DTI) is gaining traction in neuroscience research as a tool for evaluating neural fibers. The technique can be used to assess white matter (WM) microstructure in neurodegenerative disorders, including Parkinson disease (PD). There is evidence that the uncinate fasciculus and the cingulum bundle are involved in the pathogenesis of PD. These fasciculus and bundle alterations correlate with the symptoms and stages of PD. PRISMA 2022 was used to search PubMed and Scopus for relevant articles. Our search revealed 759 articles. Following screening of titles and abstracts, a full-text review, and implementing the inclusion criteria, 62 papers were selected for synthesis. According to the review of selected studies, WM integrity in the uncinate fasciculus and cingulum bundles can vary according to symptoms and stages of Parkinson disease. This article provides structural insight into the heterogeneous PD subtypes according to their cingulate bundle and uncinate fasciculus changes. It also examines if there is any correlation between these brain structures' structural changes with cognitive impairment or depression scales like Geriatric Depression Scale-Short (GDS). The results showed significantly lower fractional anisotropy values in the cingulum bundle compared to healthy controls as well as significant correlations between FA and GDS scores for both left and right uncinate fasciculus regions suggesting that structural damage from disease progression may be linked to cognitive impairments seen in advanced PD patients. This review help in developing more targeted treatments for different types of Parkinson's disease, as well as providing a better understanding of how cognitive impairments may be related to these structural changes. Additionally, using DTI scans can provide clinicians with valuable information about white matter tracts which is useful for diagnosing and monitoring disease progression over time.
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Affiliation(s)
- Fatemeh Rashidi
- School of Medicine, Tehran University of Medical Science, Tehran 1417613151, Iran
| | | | - Farbod Hosseinzadeh
- School of Medicine, Tehran University of Medical Science, Tehran 1417613151, Iran
| | - Zahra Kolahchi
- School of Medicine, Tehran University of Medical Science, Tehran 1417613151, Iran
| | - Niloofar Jafarimehrabady
- Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
| | - Bardia Moghisseh
- School of Medicine, Arak University of Medical Science, Arak 3848176941, Iran
| | - Mohammad Hadi Aarabi
- Department of Neuroscience (DNS), Padova Neuroscience Center, University of Padova, 35128 Padua, Italy
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9
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Wang J, Zhang Y, Meng X, Liu G. Application of diffusion tensor imaging technology in glaucoma diagnosis. Front Neurosci 2023; 17:1125638. [PMID: 36816120 PMCID: PMC9932933 DOI: 10.3389/fnins.2023.1125638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 01/11/2023] [Indexed: 02/05/2023] Open
Abstract
Glaucoma is the first major category of irreversible blinding eye illnesses worldwide. Its leading cause is the death of retinal ganglion cells and their axons, which results in the loss of vision. Research indicates that glaucoma affects the optic nerve and the whole visual pathway. It also reveals that degenerative lesions caused by glaucoma can be found outside the visual pathway. Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that can investigate the complete visual system, including alterations in the optic nerve, optic chiasm, optic tract, lateral geniculate nuclear, and optic radiation. In order to provide a more solid foundation for the degenerative characteristics of glaucoma, this paper will discuss the standard diagnostic techniques for glaucoma through a review of the literature, describe the use of DTI technology in glaucoma in humans and animal models, and introduce these techniques. With the advancement of DTI technology and its coupling with artificial intelligence, DTI represents a potential future for MRI technology in glaucoma research.
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10
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Ottoy J, Ozzoude M, Zukotynski K, Kang MS, Adamo S, Scott C, Ramirez J, Swardfager W, Lam B, Bhan A, Mojiri P, Kiss A, Strother S, Bocti C, Borrie M, Chertkow H, Frayne R, Hsiung R, Laforce RJ, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Kuo PH, Chad JA, Pasternak O, Sossi V, Thiel A, Soucy JP, Tardif JC, Black SE, Goubran M. Amyloid-PET of the white matter: Relationship to free water, fiber integrity, and cognition in patients with dementia and small vessel disease. J Cereb Blood Flow Metab 2023; 43:921-936. [PMID: 36695071 DOI: 10.1177/0271678x231152001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
White matter (WM) injury is frequently observed along with dementia. Positron emission tomography with amyloid-ligands (Aβ-PET) recently gained interest for detecting WM injury. Yet, little is understood about the origin of the altered Aβ-PET signal in WM regions. Here, we investigated the relative contributions of diffusion MRI-based microstructural alterations, including free water and tissue-specific properties, to Aβ-PET in WM and to cognition. We included a unique cohort of 115 participants covering the spectrum of low-to-severe white matter hyperintensity (WMH) burden and cognitively normal to dementia. We applied a bi-tensor diffusion-MRI model that differentiates between (i) the extracellular WM compartment (represented via free water), and (ii) the fiber-specific compartment (via free water-adjusted fractional anisotropy [FA]). We observed that, in regions of WMH, a decrease in Aβ-PET related most closely to higher free water and higher WMH volume. In contrast, in normal-appearing WM, an increase in Aβ-PET related more closely to higher cortical Aβ (together with lower free water-adjusted FA). In relation to cognitive impairment, we observed a closer relationship with higher free water than with either free water-adjusted FA or WM PET. Our findings support free water and Aβ-PET as markers of WM abnormalities in patients with mixed dementia, and contribute to a better understanding of processes giving rise to the WM PET signal.
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Affiliation(s)
- Julie Ottoy
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Miracle Ozzoude
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Katherine Zukotynski
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Departments of Medicine and Radiology, McMaster University, Hamilton, ON, Canada.,Department of Medical Imaging, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.,Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Min Su Kang
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Sabrina Adamo
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher Scott
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Benjamin Lam
- Department of Medicine (Division of Neurology), Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Aparna Bhan
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Parisa Mojiri
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Alex Kiss
- Department of Research Design and Biostatistics, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Stephen Strother
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,The Rotman Research Institute Baycrest, University of Toronto, Toronto, ON, Canada
| | - Christian Bocti
- Service de Neurologie, Département de Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Michael Borrie
- Lawson Health Research Institute, Western University, London, ON, Canada
| | - Howard Chertkow
- Jewish General Hospital and Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Richard Frayne
- Departments of Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Robin Hsiung
- Physics and Astronomy Department and DM Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, Université Laval, Québec, QC, Canada
| | - Michael D Noseworthy
- Departments of Medicine and Radiology, McMaster University, Hamilton, ON, Canada.,Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
| | - Frank S Prato
- Lawson Health Research Institute, Western University, London, ON, Canada
| | | | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Phillip H Kuo
- Department of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, AZ, USA
| | - Jordan A Chad
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,The Rotman Research Institute Baycrest, University of Toronto, Toronto, ON, Canada
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Vesna Sossi
- Physics and Astronomy Department and DM Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Alexander Thiel
- Jewish General Hospital and Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Jean-Paul Soucy
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | | | - Sandra E Black
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medicine (Division of Neurology), Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Physical Sciences Platform, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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11
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Lichenstein SD, Shaw DS, Forbes EE. Cannabis, connectivity, and coming of age: Associations between cannabis use and anterior cingulate cortex connectivity during the transition to adulthood. Front Hum Neurosci 2022; 16:951204. [PMID: 36438638 PMCID: PMC9692120 DOI: 10.3389/fnhum.2022.951204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 10/26/2022] [Indexed: 08/10/2023] Open
Abstract
Cannabis use is common among adolescents and emerging adults and is associated with significant adverse consequences for a subset of users. Rates of use peak between the ages of 18-25, yet the neurobiological consequences for neural systems that are actively developing during this time remain poorly understood. In particular, cannabis exposure may interfere with adaptive development of white matter pathways underlying connectivity of the anterior cingulate cortex, including the cingulum and anterior thalamic radiations (ATR). The current study examined the association between cannabis use during adolescence and emerging adulthood and white matter microstructure of the cingulum and ATR among 158 male subjects enrolled in the Pitt Mother and Child Project, a prospective, longitudinal study of risk and resilience among men of low socioeconomic status. Participants were recruited in infancy, completed follow-up assessments throughout childhood and adolescence, and underwent diffusion imaging at ages 20 and 22. At age 20, moderate cannabis use across adolescence (age 12-19) was associated with higher fractional anisotropy (FA) of the cingulum and ATR, relative to both minimal and heavy adolescent use. Longitudinally, moderate and heavy extended cannabis use (age 12-21) was associated with reduced positive change in FA in the cingulum from age 20 to 22, relative to minimal use. These longitudinal results suggest that cannabis exposure may delay cingulum maturation during the transition to adulthood and potentially impact individuals' functioning later in development.
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Affiliation(s)
- Sarah D. Lichenstein
- Yale Imaging and Psychopharmacology (YIP) Lab, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Daniel S. Shaw
- Pitt Parents and Children Laboratory (PPCL), Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Erika E. Forbes
- Affective Neuroscience and Developmental Psychopathology (ANDP) Lab, Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
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12
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Sagnier S, Catheline G, Dilharreguy B, Linck PA, Coupé P, Munsch F, Bigourdan A, Poli M, Debruxelles S, Renou P, Olindo S, Rouanet F, Dousset V, Tourdias T, Sibon I. Normal-Appearing White Matter Deteriorates over the Year After an Ischemic Stroke and Is Associated with Global Cognition. Transl Stroke Res 2022; 13:716-724. [PMID: 35106712 DOI: 10.1007/s12975-022-00988-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 11/19/2021] [Accepted: 01/17/2022] [Indexed: 10/19/2022]
Abstract
Normal-appearing white matter (NAWM) is a hub of plasticity, but data relating to its influence on post-ischemic stroke (IS) outcome remain scarce. The aim of this study was to evaluate the relationship between NAWM integrity and cognitive outcome after an IS. A longitudinal study was conducted including supra-tentorial IS patients. A 3-Tesla brain MRI was performed at baseline and 1 year, allowing the analyses of mean fractional anisotropy (FA) and mean diffusivity (MD) in NAWM masks, along with the volume of white matter hyperintensities (WMH) and IS. A Montreal Cognitive Assessment (MoCA), an Isaacs set test, and a Zazzo's cancellation task were performed at baseline, 3 months and 1 year. Mixed models were built, followed by Tract-based Spatial Statistics (TBSS) analyses. Ninety-five patients were included in the analyses (38% women, median age 69 ± 20). FA significantly decreased, and MD significantly increased between baseline and 1 year, while cognitive scores improved. Patients who decreased their NAWM FA more over the year had a slower cognitive improvement on MoCA (β = - 0.11, p = 0.05). The TBSS analyses showed that patients who presented the highest decrease of FA in various tracts of white matter less improved their MoCA performances, regardless of WMH and IS volumes, demographic confounders, and clinical severity. NAWM integrity deteriorates over the year after an IS, and is associated with a cognitive recovery slowdown. The diffusion changes recorded here in patients starting with an early preserved white matter structure could have long term impact on cognition.
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Affiliation(s)
- Sharmila Sagnier
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France.
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France.
- INCIA Université Bordeaux 2, 146 rue Léo Saignat Zone Nord, Bâtiment 2A, 2e étage, 33076, Bordeaux, France.
| | - Gwenaëlle Catheline
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France
| | - Bixente Dilharreguy
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France
| | | | - Pierrick Coupé
- UMR-5800, CNRS, Université de Bordeaux, LaBRI, Talence, France
| | - Fanny Munsch
- Beth Israel Deaconess Medical Center, Harvard University, Boston, USA
| | | | - Mathilde Poli
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| | | | - Pauline Renou
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| | | | | | - Vincent Dousset
- CHU de Bordeaux, Neuroradiologie, Bordeaux, France
- INSERM-U1215, Neurocentre Magendie, Bordeaux, France
| | - Thomas Tourdias
- CHU de Bordeaux, Neuroradiologie, Bordeaux, France
- INSERM-U1215, Neurocentre Magendie, Bordeaux, France
| | - Igor Sibon
- UMR-5287, CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
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A diffusion MRI study of brain white matter microstructure in adolescents and adults with a Fontan circulation: Investigating associations with resting and peak exercise oxygen saturations and cognition. Neuroimage Clin 2022; 36:103151. [PMID: 35994923 PMCID: PMC9402393 DOI: 10.1016/j.nicl.2022.103151] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Adolescents and adults with a Fontan circulation are at risk of cognitive dysfunction; Attention and processing speed are notable areas of concern. Underlying mechanisms and brain alterations associated with worse long-term cognitive outcomes are not well determined. This study investigated brain white matter microstructure in adolescents and adults with a Fontan circulation and associations with resting and peak exercise oxygen saturations (SaO2), predicted maximal oxygen uptake during exercise (% pred VO2), and attention and processing speed. METHODS Ninety-two participants with a Fontan circulation (aged 13-49 years, ≥5 years post-Fontan completion) had diffusion MRI. Averaged tract-wise diffusion tensor imaging (DTI) metrics were generated for 34 white matter tracts of interest. Resting and peak exercise SaO2 and % pred VO2 were measured during cardiopulmonary exercise testing (CPET; N = 81). Attention and processing speed were assessed using Cogstate (N = 67 and 70, respectively). Linear regression analyses adjusted for age, sex, and intracranial volume were performed to investigate associations between i) tract-specific DTI metrics and CPET variables, and ii) tract-specific DTI metrics and attention and processing speed z-scores. RESULTS Forty-nine participants were male (53%), mean age was 23.1 years (standard deviation (SD) = 7.8 years). Mean resting and peak exercise SaO2 were 93.1% (SD = 3.6) and 90.1% (SD = 4.7), respectively. Mean attention and processing speed z-scores were -0.63 (SD = 1.07) and -0.72 (SD = 1.44), respectively. Resting SaO2 were positively associated with mean fractional anisotropy (FA) of the left corticospinal tract (CST) and right superior longitudinal fasciculus I (SLF-I) and negatively associated with mean diffusivity (MD) and radial diffusivity (RD) of the right SLF-I (p ≤ 0.01). Peak exercise SaO2 were positively associated with mean FA of the left CST and were negatively associated with mean RD of the left CST, MD of the left frontopontine tract, MD, RD and axial diffusivity (AD) of the right SLF-I, RD of the left SLF-II, MD, RD and AD of the right SLF-II, and MD and RD of the right SLF-III (p ≤ 0.01). Percent predicted VO2 was positively associated with FA of the left uncinate fasciculus (p < 0.01). Negative associations were identified between mean FA of the right arcuate fasciculus, right SLF-II and right SLF-III and processing speed (p ≤ 0.01). No significant associations were identified between DTI-based metrics and attention. CONCLUSION Chronic hypoxemia may have long-term detrimental impact on white matter microstructure in people living with a Fontan circulation. Paradoxical associations between processing speed and tract-specific DTI metrics could be suggestive of compensatory white matter remodeling. Longitudinal investigations focused on the mechanisms and trajectory of altered white matter microstructure and associated cognitive dysfunction in people with a Fontan circulation are required to better understand causal associations.
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14
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García AO, Brambati SM, Desautels A, Marcotte K. Timing stroke: A review on stroke pathophysiology and its influence over time on diffusion measures. J Neurol Sci 2022; 441:120377. [DOI: 10.1016/j.jns.2022.120377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/30/2022] [Accepted: 07/31/2022] [Indexed: 11/26/2022]
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15
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Peterson BS, Liu J, Dantec L, Newman C, Sawardekar S, Goh S, Bansal R. Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder. J Child Psychol Psychiatry 2022; 63:855-870. [PMID: 34762311 PMCID: PMC9091058 DOI: 10.1111/jcpp.13531] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/08/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND Identifying the brain bases for phenotypic heterogeneity in Autism Spectrum Disorder (ASD) will advance understanding of its pathogenesis and improve its clinical management. METHODS We compared Diffusion Tensor Imaging (DTI) indices and connectome measures between 77 ASD and 88 Typically Developing (TD) control participants. We also assessed voxel-wise associations of DTI indices with measures of regional cerebral blood flow (rCBF) and N-acetylaspartate (NAA) to understand how tissue microstructure associates with cellular metabolism and neuronal density, respectively. RESULTS Autism Spectrum Disorder participants had significantly lower fractional anisotropy (FA) and higher diffusivity values in deep white matter tracts, likely representing ether reduced myelination by oligodendrocytes or a reduced density of myelinated axons. Greater abnormalities in these measures and regions were associated with higher ASD symptom scores. Participant age, sex and IQ significantly moderated these group differences. Path analyses showed that reduced NAA levels accounted significantly for higher diffusivity and higher rCBF values in ASD compared with TD participants. CONCLUSIONS Reduced neuronal density (reduced NAA) likely underlies abnormalities in DTI indices of white matter microstructure in ASD, which in turn are major determinants of elevated blood flow. Together, these findings suggest the presence of reduced axonal density and axonal pathology in ASD white matter. Greater pathology in turn accounts for more severe symptoms, lower intellectual ability, and reduced global efficiency for measures of white matter connectivity in ASD.
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Affiliation(s)
- Bradley S. Peterson
- Institute for the Developing Mind, Children’s Hospital Los Angeles, Los Angeles, CA 90027;,Keck School of Medicine at the University of Southern California, Los Angeles, CA 90033
| | - Jiaqi Liu
- Institute for the Developing Mind, Children’s Hospital Los Angeles, Los Angeles, CA 90027
| | - Louis Dantec
- École Polytechnique Universitaire de Marseille, France
| | | | - Siddhant Sawardekar
- Institute for the Developing Mind, Children’s Hospital Los Angeles, Los Angeles, CA 90027
| | | | - Ravi Bansal
- Institute for the Developing Mind, Children’s Hospital Los Angeles, Los Angeles, CA 90027;,Keck School of Medicine at the University of Southern California, Los Angeles, CA 90033
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16
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Shams B, Wang Z, Roine T, Aydogan DB, Vajkoczy P, Lippert C, Picht T, Fekonja LS. Machine learning-based prediction of motor status in glioma patients using diffusion MRI metrics along the corticospinal tract. Brain Commun 2022; 4:fcac141. [PMID: 35694146 PMCID: PMC9175193 DOI: 10.1093/braincomms/fcac141] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 03/01/2022] [Accepted: 05/24/2022] [Indexed: 12/03/2022] Open
Abstract
Along tract statistics enables white matter characterization using various diffusion MRI metrics. These diffusion models reveal detailed insights into white matter microstructural changes with development, pathology and function. Here, we aim at assessing the clinical utility of diffusion MRI metrics along the corticospinal tract, investigating whether motor glioma patients can be classified with respect to their motor status. We retrospectively included 116 brain tumour patients suffering from either left or right supratentorial, unilateral World Health Organization Grades II, III and IV gliomas with a mean age of 53.51 ± 16.32 years. Around 37% of patients presented with preoperative motor function deficits according to the Medical Research Council scale. At group level comparison, the highest non-overlapping diffusion MRI differences were detected in the superior portion of the tracts’ profiles. Fractional anisotropy and fibre density decrease, apparent diffusion coefficient axial diffusivity and radial diffusivity increase. To predict motor deficits, we developed a method based on a support vector machine using histogram-based features of diffusion MRI tract profiles (e.g. mean, standard deviation, kurtosis and skewness), following a recursive feature elimination method. Our model achieved high performance (74% sensitivity, 75% specificity, 74% overall accuracy and 77% area under the curve). We found that apparent diffusion coefficient, fractional anisotropy and radial diffusivity contributed more than other features to the model. Incorporating the patient demographics and clinical features such as age, tumour World Health Organization grade, tumour location, gender and resting motor threshold did not affect the model’s performance, revealing that these features were not as effective as microstructural measures. These results shed light on the potential patterns of tumour-related microstructural white matter changes in the prediction of functional deficits.
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Affiliation(s)
- Boshra Shams
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Klinik für Neurochirurgie mit Arbeitsbereich Pädiatrische Neurochirurgie, Campus Charité Mitte , Charitéplatz 1, 10117 Berlin, Germany
- Cluster of Excellence: ‘Matters of Activity. Image Space Material’, Humboldt University Berlin , Berlin, Germany
| | - Ziqian Wang
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Klinik für Neurochirurgie mit Arbeitsbereich Pädiatrische Neurochirurgie, Campus Charité Mitte , Charitéplatz 1, 10117 Berlin, Germany
| | - Timo Roine
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science , Espoo, Finland
- Turku Brain and Mind Center, University of Turku , Turku, Finland
| | - Dogu Baran Aydogan
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science , Espoo, Finland
- Department of Psychiatry, Helsinki University and Helsinki University Hospital , Helsinki, Finland
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland , Kuopio, Finland
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Klinik für Neurochirurgie mit Arbeitsbereich Pädiatrische Neurochirurgie, Campus Charité Mitte , Charitéplatz 1, 10117 Berlin, Germany
| | - Christoph Lippert
- Digital Health - Machine Learning, Hasso Plattner Institute, University of Potsdam , Potsdam, Germany
- Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai , New York, NY, USA
| | - Thomas Picht
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Klinik für Neurochirurgie mit Arbeitsbereich Pädiatrische Neurochirurgie, Campus Charité Mitte , Charitéplatz 1, 10117 Berlin, Germany
- Cluster of Excellence: ‘Matters of Activity. Image Space Material’, Humboldt University Berlin , Berlin, Germany
| | - Lucius S. Fekonja
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Klinik für Neurochirurgie mit Arbeitsbereich Pädiatrische Neurochirurgie, Campus Charité Mitte , Charitéplatz 1, 10117 Berlin, Germany
- Cluster of Excellence: ‘Matters of Activity. Image Space Material’, Humboldt University Berlin , Berlin, Germany
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17
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DiBella EVR, Sharma A, Richards L, Prabhakaran V, Majersik JJ, HashemizadehKolowri SK. Beyond Diffusion Tensor MRI Methods for Improved Characterization of the Brain after Ischemic Stroke: A Review. AJNR Am J Neuroradiol 2022; 43:661-669. [PMID: 35272983 PMCID: PMC9089249 DOI: 10.3174/ajnr.a7414] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/08/2021] [Indexed: 12/22/2022]
Abstract
Ischemic stroke is a worldwide problem, with 15 million people experiencing a stroke annually. MR imaging is a valuable tool for understanding and assessing brain changes after stroke and predicting recovery. Of particular interest is the use of diffusion MR imaging in the nonacute stage 1-30 days poststroke. Thousands of articles have been published on the use of diffusion MR imaging in stroke, including several recent articles reviewing the use of DTI for stroke. The goal of this work was to survey and put into context the recent use of diffusion MR imaging methods beyond DTI, including diffusional kurtosis, generalized fractional anisotropy, spherical harmonics methods, and neurite orientation and dispersion models, in patients poststroke. Early studies report that these types of beyond-DTI methods outperform DTI metrics either in being more sensitive to poststroke changes or by better predicting outcome motor scores. More and larger studies are needed to confirm the improved prediction of stroke recovery with the beyond-DTI methods.
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Affiliation(s)
- E V R DiBella
- From the Departments of Radiology and Imaging Sciences (E.V.R.D., A.S., S.K.H.)
| | - A Sharma
- From the Departments of Radiology and Imaging Sciences (E.V.R.D., A.S., S.K.H.)
| | - L Richards
- Occupational and Recreational Therapies (L.R.)
| | - V Prabhakaran
- Department of Radiology (V.P.), University of Wisconsin, Madison, Wisconsin
| | - J J Majersik
- Neurology (J.J.M.), University of Utah, Salt Lake City, Utah
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18
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Kim M, Choi KS, Hyun RC, Hwang I, Yun TJ, Kim SM, Kim JH. Free-water diffusion tensor imaging detects occult periependymal abnormality in the AQP4-IgG-seropositive neuromyelitis optica spectrum disorder. Sci Rep 2022; 12:512. [PMID: 35017589 PMCID: PMC8752776 DOI: 10.1038/s41598-021-04490-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 12/22/2021] [Indexed: 11/23/2022] Open
Abstract
To compare free-water corrected diffusion tensor imaging (DTI) measures in the normal-appearing periependymal area between AQP4-IgG-seropositive NMOSD and multiple sclerosis (MS) to investigate occult pathophysiology.
This prospective study included 44 patients (mean age, 39.52 ± 11.90 years; 14 men) with AQP4-IgG-seropositive NMOSD (n = 20) and MS (n = 24) who underwent DTI between April 2014 and April 2020. Based on free-water corrected DTI measures obtained from normal-appearing periependymal voxels of (1) lateral ventricles and (2) the 3rd and 4th ventricles as dependent variables, MANCOVA was conducted to compare the two groups, using clinical variables as covariates. A significant difference was found between AQP4-IgG-seropositive NMOSD and MS in the 3rd and 4th periependymal voxels (λ = 0.462, P = 0.001). Fractional anisotropy, axial diffusivity was significantly decreased and radial diffusivity was increased in AQP4-IgG-seropositive NMOSD in post-hoc analysis, compared with MS (F = 27.616, P < 0.001, F = 7.336, P = 0.011, and F = 5.800, P = 0.022, respectively). Free-water corrected DTI measures differ in the periependymal area surrounding the diencephalon and brain stem/cerebellum between MS and NMOSD, which may suggest occult white matter injury in areas with distribution of AQP-4 in NMOSD.
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Affiliation(s)
- Minchul Kim
- Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyu Sung Choi
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ryoo Chang Hyun
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae Jin Yun
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sung Min Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Ji-Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Brain microstructural abnormalities in 22q11.2 deletion syndrome: A systematic review of diffusion tensor imaging studies. Eur Neuropsychopharmacol 2021; 52:96-135. [PMID: 34358796 DOI: 10.1016/j.euroneuro.2021.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/06/2021] [Accepted: 07/12/2021] [Indexed: 01/16/2023]
Abstract
22q11.2 deletion syndrome (22q11DS) is a severe genetic syndrome characterized by cognitive deficits and neuropsychiatric disorders, particularly schizophrenia. Neuroimaging alterations have been extensively reported in 22q11DS, both in gray and white matter structures. However, a considerable variability among the results affects the generalizability of the findings to date. Herein, we reviewed diffusion tensor imaging (DTI) findings in 22q11DS, their association with psychosis and cognition, and the implications of DTI studies on neurodevelopment in 22q11DS. We also investigated differences between 22q11DS and schizophrenic patients without 22q11DS. Using an online search of PubMed and Embase, we identified studies investigating DTI findings in 22q11DS. After selecting eligible studies in accordance with the preferred reporting items for systematic reviews and meta-analyses guideline, we included thirty-one studies. Overall, 22q11DS patients show altered structural connectivity and disrupted microstructural organization of most cortical and subcortical structures and white matter tracts. Moreover, despite a significant heterogeneity in the results, reduced diffusivity measures and elevated fractional anisotropy were observed. However controversial, compared to typically developing children, 22q11DS patients reached the peak of fractional anisotropy (FA) and the trough of radial diffusivity (RD) at an older age, which shows neurodevelopmental delay. DTI measures were also associated with psychotic symptoms and cognitive deficits. In conclusion, this study provides a comprehensive review of microstructural alterations in 22q11DS. Future larger investigations on this syndrome could potentially lead to the detection of early diagnostic imaging markers for genetically induced schizophrenia, thus improving the treatment and, ultimately, the outcome.
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20
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Kristensen TD, Glenthøj LB, Ambrosen K, Syeda W, Raghava JM, Krakauer K, Wenneberg C, Fagerlund B, Pantelis C, Glenthøj BY, Nordentoft M, Ebdrup BH. Global fractional anisotropy predicts transition to psychosis after 12 months in individuals at ultra-high risk for psychosis. Acta Psychiatr Scand 2021; 144:448-463. [PMID: 34333760 DOI: 10.1111/acps.13355] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 07/26/2021] [Accepted: 07/29/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Psychosis spectrum disorders are associated with cerebral changes, but the prognostic value and clinical utility of these findings are unclear. Here, we applied a multivariate statistical model to examine the predictive accuracy of global white matter fractional anisotropy (FA) for transition to psychosis in individuals at ultra-high risk for psychosis (UHR). METHODS 110 UHR individuals underwent 3 Tesla diffusion-weighted imaging and clinical assessments at baseline, and after 6 and 12 months. Using logistic regression, we examined the reliability of global FA at baseline as a predictor for psychosis transition after 12 months. We tested the predictive accuracy, sensitivity and specificity of global FA in a multivariate prediction model accounting for potential confounders to FA (head motion in scanner, age, gender, antipsychotic medication, parental socioeconomic status and activity level). In secondary analyses, we tested FA as a predictor of clinical symptoms and functional level using multivariate linear regression. RESULTS Ten UHR individuals had transitioned to psychosis after 12 months (9%). The model reliably predicted transition at 12 months (χ2 = 17.595, p = 0.040), accounted for 15-33% of the variance in transition outcome with a sensitivity of 0.70, a specificity of 0.88 and AUC of 0.87. Global FA predicted level of UHR symptoms (R2 = 0.055, F = 6.084, p = 0.016) and functional level (R2 = 0.040, F = 4.57, p = 0.036) at 6 months, but not at 12 months. CONCLUSION Global FA provided prognostic information on clinical outcome and symptom course of UHR individuals. Our findings suggest that the application of prediction models including neuroimaging data can inform clinical management on risk for psychosis transition.
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Affiliation(s)
- Tina D Kristensen
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark
| | - Louise B Glenthøj
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark
| | - Karen Ambrosen
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Warda Syeda
- Melbourne Neuropsychiatry Center, Department of Psychiatry, The University of Melbourne, Melbourne, Vic., Australia
| | - Jayachandra M Raghava
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Glostrup, Denmark
| | - Kristine Krakauer
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark
| | - Christina Wenneberg
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark
| | - Birgitte Fagerlund
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christos Pantelis
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Melbourne Neuropsychiatry Center, Department of Psychiatry, The University of Melbourne, Melbourne, Vic., Australia
| | - Birte Y Glenthøj
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bjørn H Ebdrup
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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21
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Sun J, Chen R, Tong Q, Ma J, Gao L, Fang J, Zhang D, Chan P, He H, Wu T. Convolutional neural network optimizes the application of diffusion kurtosis imaging in Parkinson's disease. Brain Inform 2021; 8:18. [PMID: 34585306 PMCID: PMC8479023 DOI: 10.1186/s40708-021-00139-z] [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: 03/17/2021] [Accepted: 08/11/2021] [Indexed: 11/25/2022] Open
Abstract
Objectives The literature regarding the use of diffusion-tensor imaging-derived metrics in the evaluation of Parkinson’s disease (PD) is controversial. This study attempted to assess the feasibility of a deep-learning-based method for detecting alterations in diffusion kurtosis measurements associated with PD. Methods A total of 68 patients with PD and 77 healthy controls were scanned using scanner-A (3 T Skyra) (DATASET-1). Meanwhile, an additional five healthy volunteers were scanned with both scanner-A and an additional scanner-B (3 T Prisma) (DATASET-2). Diffusion kurtosis imaging (DKI) of DATASET-2 had an extra b shell compared to DATASET-1. In addition, a 3D-convolutional neural network (CNN) was trained from DATASET-2 to harmonize the quality of scalar measures of scanner-A to a similar level as scanner-B. Whole-brain unpaired t test and Tract-Based Spatial Statistics (TBSS) were performed to validate the differences between the PD and control groups using the model-fitting method and CNN-based method, respectively. We further clarified the correlation between clinical assessments and DKI results. Results An increase in mean diffusivity (MD) was found in the left substantia nigra (SN) in the PD group. In the right SN, fractional anisotropy (FA) and mean kurtosis (MK) values were negatively correlated with Hoehn and Yahr (H&Y) scales. In the putamen (Put), FA values were positively correlated with the H&Y scales. It is worth noting that these findings were only observed with the deep learning method. There was neither a group difference nor a correlation with clinical assessments in the SN or striatum exceeding the significance level using the conventional model-fitting method. Conclusions The CNN-based method improves the robustness of DKI and can help to explore PD-associated imaging features. Supplementary Information The online version contains supplementary material available at 10.1186/s40708-021-00139-z.
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Affiliation(s)
- Junyan Sun
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, 100053, China
| | - Ruike Chen
- Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, 310027, Zhejiang, China
| | - Qiqi Tong
- Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, 310027, Zhejiang, China.,Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, Zhejiang, China
| | - Jinghong Ma
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Linlin Gao
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, 100053, China
| | - Jiliang Fang
- Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Dongling Zhang
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, 100053, China
| | - Piu Chan
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, 100053, China.,Clinical Center for Parkinson's Disease, Capital Medical University, Beijing, China.,Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Hongjian He
- Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, 310027, Zhejiang, China. .,Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027, Zhejiang, China.
| | - Tao Wu
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, 100053, China. .,Clinical Center for Parkinson's Disease, Capital Medical University, Beijing, China. .,Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing, China. .,National Clinical Research Center for Geriatric Disorders, Beijing, China.
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22
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Alger JR, O'Neill J, O'Connor MJ, Kalender G, Ly R, Ng A, Dillon A, Narr KL, Loo SK, Levitt JG. Neuroimaging of Supraventricular Frontal White Matter in Children with Familial Attention-Deficit Hyperactivity Disorder and Attention-Deficit Hyperactivity Disorder Due to Prenatal Alcohol Exposure. Neurotox Res 2021; 39:1054-1075. [PMID: 33751467 PMCID: PMC8442735 DOI: 10.1007/s12640-021-00342-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 02/15/2021] [Accepted: 02/17/2021] [Indexed: 10/21/2022]
Abstract
Attention-deficit hyperactivity disorder (ADHD) is common in patients with (ADHD+PAE) and without (ADHD-PAE) prenatal alcohol exposure (PAE). Many patients diagnosed with idiopathic ADHD actually have covert PAE, a treatment-relevant distinction. To improve differential diagnosis, we sought to identify brain differences between ADHD+PAE and ADHD-PAE using neurobehavioral, magnetic resonance spectroscopy, and diffusion tensor imaging metrics that had shown promise in past research. Children 8-13 were recruited in three groups: 23 ADHD+PAE, 19 familial ADHD-PAE, and 28 typically developing controls (TD). Neurobehavioral instruments included the Conners 3 Parent Behavior Rating Scale and the Delis-Kaplan Executive Function System (D-KEFS). Two dimensional magnetic resonance spectroscopic imaging was acquired from supraventricular white matter to measure N-acetylaspartate compounds, glutamate, creatine + phosphocreatine (creatine), and choline-compounds (choline). Whole brain diffusion tensor imaging was acquired and used to to calculate fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity from the same superventricular white matter regions that produced magnetic resonance spectroscopy data. The Conners 3 Parent Hyperactivity/Impulsivity Score, glutamate, mean diffusivity, axial diffusivity, and radial diffusivity were all higher in ADHD+PAE than ADHD-PAE. Glutamate was lower in ADHD-PAE than TD. Within ADHD+PAE, inferior performance on the D-KEFS Tower Test correlated with higher neurometabolite levels. These findings suggest white matter differences between the PAE and familial etiologies of ADHD. Abnormalities detected by magnetic resonance spectroscopy and diffusion tensor imaging co-localize in supraventricular white matter and are relevant to executive function symptoms of ADHD.
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Affiliation(s)
- Jeffry R Alger
- Department of Neurology, University of California Los Angeles, MC 708522, Los Angeles, CA, 90024, USA.
- Neurospectroscopics, LLC, Sherman Oaks, CA, USA.
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Hura Imaging Inc, Calabas, CA, USA.
| | - Joseph O'Neill
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Mary J O'Connor
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Guldamla Kalender
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Ronald Ly
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Andrea Ng
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Andrea Dillon
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Katherine L Narr
- Department of Neurology, University of California Los Angeles, MC 708522, Los Angeles, CA, 90024, USA
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Sandra K Loo
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Jennifer G Levitt
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Instutute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
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23
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Santín-Márquez R, Ramírez-Cordero B, Toledo-Pérez R, Luna-López A, López-Diazguerrero NE, Hernández-Arciga U, Pérez-Morales M, Ortíz-Retana JJ, García-Servín M, Alcauter S, Hernández-Godínez B, Ibañez-Contreras A, Concha L, Gómez-González B, Königsberg M. Sensory and memory processing in old female and male Wistar rat brain, and its relationship with the cortical and hippocampal redox state. GeroScience 2021; 43:1899-1920. [PMID: 33837484 PMCID: PMC8492817 DOI: 10.1007/s11357-021-00353-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 03/09/2021] [Indexed: 12/27/2022] Open
Abstract
The brain is one of the most sensitive organs damaged during aging due to its susceptibility to the aging-related oxidative stress. Hence, in this study, the sensory nerve pathway integrity and the memory were evaluated and related to the redox state, the antioxidant enzymes function, and the protein oxidative damage in the brain cortex (Cx) and the hippocampus (Hc) of young (4-month-old) and old (24-month-old) male and female Wistar rats. Evoked potentials (EP) were performed for the auditory, visual, and somatosensory pathways. In both males and females, the old rat groups' latencies were larger in almost all waves when compared to the young same-sex animals. The novel object test was performed to evaluate memory. The superoxide dismutase and catalase antioxidant activity, as well as the protein oxidative damage, and the redox state were evaluated. Magnetic resonance (MR) imaging was used to obtain the diffusion tensor imaging, and the brain volume, while MR spectroscopy was used to obtain the brain metabolite concentrations (glutamine, glutamate, Myo-inositol, N-acetyl-aspartate, creatine) in the Cx and the Hc of young and old females. Our data suggest that, although there are limited variations regarding memory and nerve conduction velocity by sex, the differences concerning the redox status might be important to explain the dissimilar reactions during brain aging between males and females. Moreover, the increment in Myo-inositol levels in the Hc of old rats and the brain volume decrease suggest that redox state alterations might be correlated to neuroinflammation during brain aging.
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Affiliation(s)
- Roberto Santín-Márquez
- Departamento de Ciencias de la Salud, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México
- Posgrado en Biología Experimental, UAMI, México, México
| | - Belén Ramírez-Cordero
- Departamento de Ciencias de la Salud, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México
| | - Rafael Toledo-Pérez
- Departamento de Ciencias de la Salud, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México
- Posgrado en Biología Experimental, UAMI, México, México
| | | | - Norma E López-Diazguerrero
- Departamento de Ciencias de la Salud, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México
| | - Ulalume Hernández-Arciga
- Departamento de Ciencias de la Salud, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México
| | - Marcel Pérez-Morales
- Departamento de Biología de la Reproducción, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México
| | - Juan José Ortíz-Retana
- Laboratorio Nacional Enfocado en Imagenología por Resonancia Magnética, Instituto de Neurobiología, UNAM, Juriquilla, Mexico
| | | | - Sarael Alcauter
- Laboratorio Nacional Enfocado en Imagenología por Resonancia Magnética, Instituto de Neurobiología, UNAM, Juriquilla, Mexico
| | | | | | - Luis Concha
- Laboratorio Nacional Enfocado en Imagenología por Resonancia Magnética, Instituto de Neurobiología, UNAM, Juriquilla, Mexico
| | - Beatriz Gómez-González
- Departamento de Biología de la Reproducción, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México
| | - Mina Königsberg
- Departamento de Ciencias de la Salud, DCBS, Universidad Autónoma Metropolitana Iztapalapa, México, CDMX, 09340, México.
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24
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Antkowiak L, Rogalska M, Stogowski P, Anuszkiewicz K, Mandera M. Clinical Application of Diffusion Tensor Imaging in Chiari Malformation Type I- Advances and Perspectives. A Systematic Review. World Neurosurg 2021; 152:124-136. [PMID: 34147690 DOI: 10.1016/j.wneu.2021.06.052] [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: 05/04/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) application in Chiari malformation type I (CMI) is still poorly defined. This study aimed to systematically review the literature and propose perspectives toward the clinical application of DTI in CMI. METHODS PubMed and Embase were searched for English-language articles published until October 20, 2020. Clinical studies and case series, evaluating fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), or radial diffusivity values in patients with CMI, were included. RESULTS Eight articles were included. Lower FA values were found at the syrinx level, which decreased with syrinx extent and intensity of symptoms, reflecting myelopathy severity. Decreased AD and MD in the middle cerebellar peduncles in symptomatic patients with CMI might explain the presence of cerebellar signs. Increased FA in various supratentorial structures positively correlated with pain severity. Worse performance in neuropsychological tests correlated with decreased FA, increased MD, and radial diffusivity, reflecting axonal degeneration. Postoperative FA decrease in the brainstem compression area reflects successful decompression. A positive correlation was found between the extent of tonsillar ectopia and increased FA, MD, and AD values, which could act as an early indicator of acute brainstem compression. CONCLUSIONS DTI might provide a valuable insight into the neurobiological foundation of symptomatic CMI presentation. The severity of white matter injury evident on DTI could serve as a reliable predictor of postoperative outcomes, therefore facilitating selection of appropriate surgical candidates. Postinterventional DTI reassessment might enable differentiation between unsuccessful surgical technique and irreversible myelopathy. The extent of tonsillar ectopia reflects the severity of microstructural brainstem injury.
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Affiliation(s)
- Lukasz Antkowiak
- Department of Pediatric Neurosurgery, Medical University of Silesia, Katowice, Poland.
| | - Marta Rogalska
- Faculty of Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Piotr Stogowski
- Faculty of Medicine, Medical University of Gdansk, Gdansk, Poland
| | | | - Marek Mandera
- Department of Pediatric Neurosurgery, Medical University of Silesia, Katowice, Poland
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25
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Izadi-Najafabadi S, Zwicker JG. White Matter Changes With Rehabilitation in Children With Developmental Coordination Disorder: A Randomized Controlled Trial. Front Hum Neurosci 2021; 15:673003. [PMID: 34149383 PMCID: PMC8209514 DOI: 10.3389/fnhum.2021.673003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 04/27/2021] [Indexed: 11/24/2022] Open
Abstract
Background and Objectives: Children with developmental coordination disorder (DCD) have difficulty learning motor skills, which can affect their participation in activities of daily living and psychosocial well-being. Over 50% of children with DCD also have attention deficit hyperactivity disorder (ADHD), which further exacerbates their motor problems and impact on quality of life. A rehabilitation approach known as Cognitive Orientation to Occupational Performance uses problem-solving strategies to help children learn motor skills they wish to achieve. While this cognitive approach has been effective for children with DCD, few studies have examined the effectiveness of this approach for children with co-occurring ADHD. Further, the underlying mechanism and neural basis of this intervention are largely unknown. Methods: In this randomized waitlist-controlled trial, we used MRI to examine white matter microstructure after intervention in 8–12-year-old children with DCD (n = 28) and with DCD and co-occurring ADHD (n = 25). Children in both groups were randomized to either a treatment group or waitlist group at their first MRI. The treatment group began the intervention after their MRI scan and returned for a post-treatment scan at 3 months, and follow-up scan at 6 months; the waitlist group waited 3 months before their second MRI, received the intervention, and then had a post-treatment scan. Each child received intervention once weekly for 10 weeks. Diffusion tensor imaging was used to acquire white matter diffusion parameters and was analyzed using tract-based spatial statistics (TBSS). Results and Conclusion: Children with DCD showed significant improvement in white matter microstructure in the bilateral anterior thalamic radiation, bilateral sensorimotor tract, bilateral cingulum, fornix, splenium and body of corpus callosum, right inferior fronto-occipital fasciculus, and white matter pathways to bilateral inferior gyri, right middle frontal gyrus, frontal medial cortex, and left cuneus. We suggest that these rehabilitation-induced neural changes in children with DCD occurred in regions associated with attention, self-regulation, motor planning, and inter-hemispheric communication, which positively affected brain connectivity and motor function. In contrast, children with DCD and co-occurring ADHD did not show any brain changes following the intervention. Modifications to the treatment protocol might help address the attentional and self-regulatory needs of children with a dual diagnosis. Clinical Trial Registration: ClinicalTrials.gov ID: NCT02597751.
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Affiliation(s)
- Sara Izadi-Najafabadi
- Graduate Programs in Rehabilitation Sciences, University of British Columbia, Vancouver, BC, Canada.,Brain, Behaviour, and Development Theme, BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Jill G Zwicker
- Brain, Behaviour, and Development Theme, BC Children's Hospital Research Institute, Vancouver, BC, Canada.,Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.,Sunny Hill Health Centre at BC Children's Hospital, Vancouver, BC, Canada.,CanChild Centre for Childhood Disability Research, Hamilton, ON, Canada
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26
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Houston JR, Hughes ML, Bennett IJ, Allen PA, Rogers JM, Lien MC, Stoltz H, Sakaie K, Loth F, Maleki J, Vorster SJ, Luciano MG. Evidence of Neural Microstructure Abnormalities in Type I Chiari Malformation: Associations Among Fiber Tract Integrity, Pain, and Cognitive Dysfunction. PAIN MEDICINE 2021; 21:2323-2335. [PMID: 32388548 DOI: 10.1093/pm/pnaa094] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND Previous case-control investigations of type I Chiari malformation (CMI) have reported cognitive deficits and microstructural white matter abnormalities, as measured by diffusion tensor imaging (DTI). CMI is also typically associated with pain, including occipital headache, but the relationship between pain symptoms and microstructure is not known. METHODS Eighteen CMI patients and 18 adult age- and education-matched control participants underwent DTI, were tested using digit symbol coding and digit span tasks, and completed a self-report measure of chronic pain. Tissue microstructure indices were used to examine microstructural abnormalities in CMI as compared with healthy controls. Group differences in DTI parameters were then reassessed after controlling for self-reported pain. Finally, DTI parameters were correlated with performance on the digit symbol coding and digit span tasks within each group. RESULTS CMI patients exhibited greater fractional anisotropy (FA), lower radial diffusivity, and lower mean diffusivity in multiple brain regions compared with controls in diffuse white matter regions. Group differences no longer existed after controlling for self-reported pain. A significant correlation between FA and the Repeatable Battery for the Assessment of Neuropsychological Status coding performance was observed for controls but not for the CMI group. CONCLUSIONS Diffuse microstructural abnormalities appear to be a feature of CMI, manifesting predominantly as greater FA and less diffusivity on DTI sequences. These white matter changes are associated with the subjective pain experience of CMI patients and may reflect reactivity to neuroinflammatory responses. However, this hypothesis will require further deliberate testing in future studies.
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Affiliation(s)
- James R Houston
- Department of Psychology, Middle Tennessee State University, Murfreesboro, Tennessee
| | | | - Ilana J Bennett
- Department of Psychology, University of California, Riverside, California, USA
| | - Philip A Allen
- Department of Psychology, University of Akron, Akron, Ohio
| | - Jeffrey M Rogers
- Faculty of Health Sciences, University of Sydney, Sydney, Australia
| | - Mei-Ching Lien
- School of Psychological Science, Oregon State University, Corvallis, Oregon
| | - Haylie Stoltz
- Department of Psychology, Middle Tennessee State University, Murfreesboro, Tennessee
| | - Ken Sakaie
- Department of Diagnostic Radiology, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Francis Loth
- Department of Mechanical Engineering, University of Akron, Akron, Ohio
| | - Jahangir Maleki
- Center for Neuro-Restoration, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Sarel J Vorster
- Department of Neurological Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Mark G Luciano
- Department of Neurosurgery, Johns Hopkins Medical Center, Baltimore, Maryland, USA
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27
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Bergamino M, Walsh RR, Stokes AM. Free-water diffusion tensor imaging improves the accuracy and sensitivity of white matter analysis in Alzheimer's disease. Sci Rep 2021; 11:6990. [PMID: 33772083 PMCID: PMC7998032 DOI: 10.1038/s41598-021-86505-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 03/09/2021] [Indexed: 12/11/2022] Open
Abstract
Magnetic resonance imaging (MRI) based diffusion tensor imaging (DTI) can assess white matter (WM) integrity through several metrics, such as fractional anisotropy (FA), axial/radial diffusivities (AxD/RD), and mode of anisotropy (MA). Standard DTI is susceptible to the effects of extracellular free water (FW), which can be removed using an advanced free-water DTI (FW-DTI) model. The purpose of this study was to compare standard and FW-DTI metrics in the context of Alzheimer’s disease (AD). Data were obtained from the Open Access Series of Imaging Studies (OASIS-3) database and included both healthy controls (HC) and mild-to-moderate AD. With both standard and FW-DTI, decreased FA was found in AD, mainly in the corpus callosum and fornix, consistent with neurodegenerative mechanisms. Widespread higher AxD and RD were observed with standard DTI; however, the FW index, indicative of AD-associated neurodegeneration, was significantly elevated in these regions in AD, highlighting the potential impact of free water contributions on standard DTI in neurodegenerative pathologies. Using FW-DTI, improved consistency was observed in FA, AxD, and RD, and the complementary FW index was higher in the AD group as expected. With both standard and FW-DTI, higher values of MA coupled with higher values of FA in AD were found in the anterior thalamic radiation and cortico-spinal tract, most likely arising from a loss of crossing fibers. In conclusion, FW-DTI better reflects the underlying pathology of AD and improves the accuracy of DTI metrics related to WM integrity in Alzheimer’s disease.
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Affiliation(s)
- Maurizio Bergamino
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, 85013, USA
| | - Ryan R Walsh
- Muhammad Ali Parkinson Center, Barrow Neurological Institute, Phoenix, AZ, 85013, USA
| | - Ashley M Stokes
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, 85013, USA.
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28
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Evidence of Genetic Overlap Between Circadian Preference and Brain White Matter Microstructure. Twin Res Hum Genet 2021; 24:1-6. [PMID: 33663638 DOI: 10.1017/thg.2021.4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Several neuroimaging studies have reported associations between brain white matter microstructure and chronotype. However, it is unclear whether those phenotypic relationships are causal or underlined by genetic factors. In the present study, we use genetic data to examine the genetic overlap and infer causal relationships between chronotype and diffusion tensor imaging (DTI) measures. We identify 29 significant pairwise genetic correlations, of which 13 also show evidence for a causal association. Genetic correlations were identified between chronotype and brain-wide mean, axial and radial diffusivities. When exploring individual tracts, 10 genetic correlations were observed with mean diffusivity, 10 with axial diffusivity, 4 with radial diffusivity and 2 with mode of anisotropy. We found evidence for a possible causal association of eveningness with white matter microstructure measures in individual tracts including the posterior limb and the retrolenticular part of the internal capsule; the genu and splenium of the corpus callosum and the posterior, superior and anterior regions of the corona radiata. Our findings contribute to the understanding of how genes influence circadian preference and brain white matter and provide a new avenue for investigating the role of chronotype in health and disease.
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29
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Korgaonkar MS, Felmingham KL, Klimova A, Erlinger M, Williams LM, Bryant RA. White matter anisotropy and response to cognitive behavior therapy for posttraumatic stress disorder. Transl Psychiatry 2021; 11:14. [PMID: 33414363 PMCID: PMC7791115 DOI: 10.1038/s41398-020-01143-3] [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: 06/18/2020] [Revised: 11/12/2020] [Accepted: 11/30/2020] [Indexed: 12/04/2022] Open
Abstract
Trauma-focused cognitive behavior therapy (TF-CBT) is the gold standard treatment for posttraumatic stress disorder (PTSD), up to one-half of PTSD patients remain treatment non-responders. Although studies have used functional MRI to understand the neurobiology of treatment response, there is less understanding of the role of white matter brain structures in response to TF-CBT. Thirty-six treatment-seeking PTSD patients and 33 age-gender matched healthy controls completed diffusion-weighted imaging scans at baseline. Patients underwent nine sessions of TF-CBT treatment and PTSD symptom severity was assessed with the Clinician-Administered PTSD Scale before and after completing treatment. Patients were assessed to estimate the reduction in overall symptoms and also specifically fear and dysphoric symptoms of PTSD. Tract-based spatial statistical analyses were performed for the PTSD group to evaluate whole-brain correlations of fractional anisotropy (FA) with improvement in overall, fear, and dysphoric symptoms using non-parametric permutation inference testing (pFWE < 0.05). Next, we evaluated if these significant measures also characterized PTSD from controls. Greater improvement in dysphoric symptoms was found correlated with lower FA in white matter regions associated with the limbic system, frontal cortex, thalamic association and projection fibers, corpus callosum, and tracts related to the brainstem. White matter anisotropy was not found associated with either overall or fear symptoms. FA in the significant clusters was similar between PTSD and controls. White-matter related to key functional regions may also play an important role in response to TF-CBT. Our results underscore the heterogeneity of PTSD and the need to evaluate distinct symptom phenotypes in treatment studies.
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Affiliation(s)
- Mayuresh S. Korgaonkar
- grid.1013.30000 0004 1936 834XBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW Australia ,grid.1013.30000 0004 1936 834XSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW Australia
| | - Kim L. Felmingham
- grid.1008.90000 0001 2179 088XSchool of Psychological Sciences, University of Melbourne, Melbourne, VIC Australia
| | - Aleksandra Klimova
- grid.1013.30000 0004 1936 834XBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW Australia
| | - May Erlinger
- grid.1013.30000 0004 1936 834XBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW Australia
| | - Leanne M. Williams
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA USA ,grid.280747.e0000 0004 0419 2556Sierra-Pacific Mental Illness Research, Education and Clinical Center (MIRECC) VA Palo Alto Health Care System, Palo Alto, CA USA
| | - Richard A. Bryant
- grid.1013.30000 0004 1936 834XBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW Australia ,grid.1005.40000 0004 4902 0432School of Psychology, University of New South Wales, Sydney, NSW Australia
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Richmond SB, Whittier TT, Peterson DS, Fling BW. Advanced characterization of static postural control dysfunction in persons with multiple sclerosis and associated neural mechanisms. Gait Posture 2021; 83:114-120. [PMID: 33129171 DOI: 10.1016/j.gaitpost.2020.10.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 09/03/2020] [Accepted: 10/13/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is an autoimmune-based chronic inflammatory disease characterized by the neurodegeneration of the central nervous system and produces postural dysfunction. Quiet or static standing is a complex task carried out through afferent sensory inputs and efferent postural corrective outputs. Currently the mechanisms underlying these outputs remain largely unknown. RESEARCH QUESTION Assess the relationship between multi-dimensional measures of postural control and microstructural integrity of the cortical sensorimotor pathway (CSP) in persons with MS (PwMS) and neurotypical adults. METHODS Postural control performance was assessed by both overall and directional time-to-boundary measures across four manipulated sensory stance conditions (eyes open/closed; stance firm/foam) in twenty-nine neurotypical and twenty-seven PwMS. These postural outcomes were evaluated with mixed-model repeated measures analysis of variance across group (MS and control) and stance condition. Postural performance was also correlated with magnetic resonance imaging diffusion tensor-derived measures of microstructural integrity of the CSP. RESULTS PwMS displayed significantly (p = 0.026) worse anterior-posterior postural control compared to their neurotypical counterparts across sensory testing conditions and poorer CSP microstructural integrity in comparison to neurotypical adults (p = 0.008). Additionally, PwMS displayed a significant association (2D (rho = -0.384, p = 0.048), AP (rho = -0.355, p = 0.035), and ML (rho = -0.365, p = 0.030) between integrity of the CSP and postural control performance during proprioceptive-based balance, such that those with worse cortical structure had poorer balance control. SIGNIFICANCE This is the first study to establish connections between the microstructural integrity of the CSP and multi-dimensional postural control performance. Results indicate that a reduction in the CSP microstructural integrity is associated with poorer postural control in PwMS. These outcomes identify neural underpinnings of postural control dysfunction in PwMS and provide new avenues for evaluating the efficacy of postural rehabilitation strategies in PwMS that express proprioceptive-based postural deficits.
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Affiliation(s)
- Sutton B Richmond
- College of Health and Human Sciences, Department of Health and Exercise Science, Colorado State University, 951 Plum St, Fort Collins, CO, 80523, USA.
| | - Tyler T Whittier
- College of Health and Human Sciences, Department of Health and Exercise Science, Colorado State University, 951 Plum St, Fort Collins, CO, 80523, USA
| | - Daniel S Peterson
- College of Health Solutions, Arizona State University, 425 N 5(th)Street, Phoenix, AZ, USA; Phoenix VA Health Care System, 650 Indian School Rd., Phoenix, AZ, USA
| | - Brett W Fling
- College of Health and Human Sciences, Department of Health and Exercise Science, Colorado State University, 951 Plum St, Fort Collins, CO, 80523, USA; Molecular, Cellular and Integrative Neurosciences Program, Colorado State University, 1675 Campus Delivery, Fort Collins, CO, 80523, USA
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Aslan K, Gunbey HP, Cortcu S, Ozyurt O, Avci U, Incesu L. Diffusion tensor imaging in hyperthyroidism: assessment of microstructural white matter abnormality with a tract-based spatial statistical analysis. Acta Radiol 2020; 61:1677-1683. [PMID: 32202136 DOI: 10.1177/0284185120909960] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Metabolic, morphological, and functional brain changes associated with a neurological deficit in hyperthyroidism have been observed. However, changes in microstructural white matter (WM), which can explain the underlying pathophysiology of brain dysfunctions, have not been researched. PURPOSE To assess microstructural WM abnormality in patients with untreated or newly diagnosed hyperthyroidism using tract-based spatial statistics (TBSS). MATERIAL AND METHODS Eighteen patients with hyperthyroidism and 14 age- and sex-matched healthy controls were included in this study. TBSS were used in this diffusion tensor imaging study for a whole-brain voxel-wise analysis of fractional anisotropy, mean diffusivity, axial diffusivity (AD), and radial diffusivity (RD) of WM. RESULTS When compared to the control group, TBSS showed a significant increase in the RD of the corpus callosum, anterior and posterior corona radiata, posterior thalamic radiation, cingulum, superior longitudinal fasciculus, and the retrolenticular region of the internal capsule in patients with hyperthyroidism (P < 0.05), as well as a significant decrease in AD in the anterior corona radiata and the genu of corpus callosum (P < 0.05). CONCLUSION This study showed that more regions are affected by the RD increase than the AD decrease in the WM tracts of patients with hyperthyroidism. These preliminary results suggest that demyelination is the main mechanism of microstructural alterations in the WM of hyperthyroid patients.
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Affiliation(s)
- Kerim Aslan
- Department of Radiology, Ondokuz Mayis University Faculty of Medicine, Samsun, Turkey
| | - Hediye Pinar Gunbey
- Department of Radiology, Health Sciences University Kartal Lütfi Kırdar Training and Research Hospital, Istanbul, Turkey
| | - Sumeyra Cortcu
- Department of Radiology, Kastamonu State Hospital, Kastamonu, Turkey
| | - Onur Ozyurt
- Telemed Solutions Teknopark, Bogazici University, İstanbul, Turkey
| | - Ugur Avci
- Department of Endocrinology and Metabolism, Recep Tayyip Erdogan University Faculty of Medicine, Rize, Turkey
| | - Lutfi Incesu
- Department of Radiology, Ondokuz Mayis University Faculty of Medicine, Samsun, Turkey
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Coutureau J, Asselineau J, Perez P, Kuchcinski G, Sagnier S, Renou P, Munsch F, Lopes R, Henon H, Bordet R, Dousset V, Sibon I, Tourdias T. Cerebral Small Vessel Disease MRI Features Do Not Improve the Prediction of Stroke Outcome. Neurology 2020; 96:e527-e537. [PMID: 33184231 DOI: 10.1212/wnl.0000000000011208] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 09/11/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine whether the total small vessel disease (SVD) score adds information to the prediction of stroke outcome compared to validated predictors, we tested different predictive models of outcome in patients with stroke. METHODS White matter hyperintensity, lacunes, perivascular spaces, microbleeds, and atrophy were quantified in 2 prospective datasets of 428 and 197 patients with first-ever stroke, using MRI collected 24 to 72 hours after stroke onset. Functional, cognitive, and psychological status were assessed at the 3- to 6-month follow-up. The predictive accuracy (in terms of calibration and discrimination) of age, baseline NIH Stroke Scale score (NIHSS), and infarct volume was quantified (model 1) on dataset 1, the total SVD score was added (model 2), and the improvement in predictive accuracy was evaluated. These 2 models were also developed in dataset 2 for replication. Finally, in model 3, the MRI features of cerebral SVD were included rather than the total SVD score. RESULTS Model 1 showed excellent performance for discriminating poor vs good functional outcomes (area under the curve [AUC] 0.915), and fair performance for identifying cognitively impaired and depressed patients (AUCs 0.750 and 0.688, respectively). A higher SVD score was associated with a poorer outcome (odds ratio 1.30 [1.07-1.58], p = 0.0090 at best for functional outcome). However, adding the total SVD score (model 2) or individual MRI features (model 3) did not improve the prediction over model 1. Results for dataset 2 were similar. CONCLUSIONS Cerebral SVD was independently associated with functional, cognitive, and psychological outcomes, but had no clinically relevant added value to predict the individual outcomes of patients when compared to the usual predictors, such as age and baseline NIHSS.
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Affiliation(s)
- Juliette Coutureau
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Julien Asselineau
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Paul Perez
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Gregory Kuchcinski
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Sharmila Sagnier
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Pauline Renou
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Fanny Munsch
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Renaud Lopes
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Hilde Henon
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Regis Bordet
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Vincent Dousset
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Igor Sibon
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France
| | - Thomas Tourdias
- From the Neuroimagerie Diagnostique et Thérapeutique (J.C., V.D., T.T.), Pôle de Santé Publique, Unité de Soutien Méthodologique à la Recherche Clinique et Epidémiologique (J.A., P.P.), and Unité Neurovasculaire (S.S., P.R., I.S.), CHU de Bordeaux; Université de Bordeaux (J.C., S.S., V.D., I.S., T.T.); Département de Neuroradiologie (G.K., R.L.) and Unité Neurovasculaire (H.H.), CHU de Lille; Université de Lille (G.K., R.L., H.H., R.B.); INSERM U1171 (G.K., R.L., H.H., R.B.), Troubles Cognitifs Dégénératifs et Vasculaires, Lille; UMR 5287 (S.S., I.S.), CNRS, Neuroimagerie et Cognition, Bordeaux, France; Division of MRI Research (F.M.), Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; and INSERM (V.D., T.T.), U1215, Neurocentre Magendie, Bordeaux, France.
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Peterson BS, Rosen T, Dingman S, Toth ZR, Sawardekar S, Hao X, Liu F, Xu D, Dong Z, Peterson JB, Ryoo JH, Serino D, Branch CA, Bansal R. Associations of Maternal Prenatal Drug Abuse With Measures of Newborn Brain Structure, Tissue Organization, and Metabolite Concentrations. JAMA Pediatr 2020; 174:831-842. [PMID: 32539126 PMCID: PMC7296459 DOI: 10.1001/jamapediatrics.2020.1622] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
IMPORTANCE Increasing rates of illicit drug use during pregnancy may be associated with risk for long-term health problems in prenatally exposed children. OBJECTIVE To identify the associations of prenatal exposure to illicit drugs with organization of the newborn brain. DESIGN, SETTING, AND PARTICIPANTS For this cohort study, a volunteer sample of 210 illicit drug-using and nonusing mothers and their newborns was enrolled from prenatal clinics and drug abuse treatment programs in New York, New York. Enrollment, scanning, and long-term follow-up occurred from September 2004 through February 2012, and image processing and statistical analyses continued through fall 2018. In addition to 26 participants with incomplete data, a total of 64 mothers were lost to follow-up during pregnancy, and 13 newborns were lost to follow-up at birth because of perinatal complications. EXPOSURES Newborns were assigned to 1 of 4 primary exposure groups based on the history of most frequent maternal drug use: marijuana, cocaine, methadone maintenance, and/or heroin. Unexposed newborns were controls. MAIN OUTCOMES AND MEASURES Unsedated magnetic resonance imaging (MRI) of newborn brains was performed shortly after birth. Infant neurodevelopmental outcomes were assessed at age 12 months. MRI modalities included anatomical imaging, diffusion tensor imaging, T2 relaxometry, and magnetic resonance spectroscopic imaging. Infant neurodevelopmental outcomes included Bayley scales of infant development-III and Vineland Adaptive Behavior Scales. Statistical analyses were performed with results represented on the brain images. RESULTS Of 118 mothers, 42 (35%) were in the control group (mean [SD] age, 25.9 [6.1] years), 29 (25%) were in the cocaine group (mean [SD] age, 29.0 [6.1] years), 29 (25%) were in the marijuana group (mean [SD] age, 24.3 [5.5] years), and 18 (15%) were in the methadone and/or heroin group (mean [SD] age, 30.9 [5.7] years). Not all newborns could be scanned successfully; therefore, usable MRIs were acquired for 118 newborns from predominantly minority groups and with economically disadvantaged mothers. Anatomic abnormalities were detected in similar locations across all 3 drug exposures and included smaller volumes in the dorsal, medial, and ventral surfaces of the frontal lobe and dose-related increases in volumes in the lateral temporal lobe, dorsal parietal lobe, and superior frontal gyrus. Dose-related increases in diffusion tensor measures of tissue organization, decreases in T2 relaxometry times, and increases in spectroscopy metabolite concentrations were similar across exposures. These associations of exposures with brain measures were similar to the associations of newborn age with brain measures. The anatomic and diffusion tensor imaging measures suppressively mediated the associations of prenatal exposure with poorer 12-month infant outcomes. CONCLUSIONS AND RELEVANCE The findings suggest that prenatal drug exposure is associated with measures of newborn brain tissue in patterns that may indicate that exposures accelerated normal fetal brain maturation, which in turn mediated the associations with poorer 12-month infant outcomes.
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Affiliation(s)
- Bradley S. Peterson
- Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, California,Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles
| | - Tove Rosen
- Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Sherry Dingman
- Department of Psychology, Marist College, Poughkeepsie, New York
| | - Zachary R. Toth
- Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, California
| | - Siddhant Sawardekar
- Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, California
| | - Xuejun Hao
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York
| | - Feng Liu
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York
| | - Dongrong Xu
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York
| | - Zhengchao Dong
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York
| | - Jarod B. Peterson
- Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, California
| | - Ji Hoon Ryoo
- Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, California
| | - Dana Serino
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York
| | - Craig A. Branch
- Department of Radiology and Physiology, Albert Einstein School of Medicine, Bronx, New York,Department of Biophysics, Albert Einstein School of Medicine, Bronx, New York
| | - Ravi Bansal
- Department of Pediatrics, Children’s Hospital Los Angeles, Los Angeles, California,Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles
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Gosar D, Tretnjak V, Bregant T, Neubauer D, Derganc M. Reduced white-matter integrity and lower speed of information processing in adolescents with mild and moderate neonatal hypoxic-ischaemic encephalopathy. Eur J Paediatr Neurol 2020; 28:205-213. [PMID: 32665198 DOI: 10.1016/j.ejpn.2020.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 06/07/2020] [Accepted: 06/08/2020] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Studies have shown that adolescents with moderate hypoxic-ischaemic encephalopathy (HIE) may have specific cognitive deficits, especially reduced speed of information processing. The aim of our study was to confirm these earlier findings find out whether the degree of impairment in speed of information processing correlates with the degree of white-matter impairment as measured by diffusion tensor imaging (DTI). METHODS Thirty-three participants (mean age 18y 5mo, SD 12mo; 19 male) with mild or moderate HIE and 32 neurotypical adolescents (mean age 17y 10mo, SD 12mo, 18 male) completed a comprehensive neuropsychological battery measuring short-term memory, inhibition, speed of information processing, long-term visual and verbal memory. Fourteen participants also underwent structural MRI and DTI scans. RESULTS After controlling for age, gender and maternal education we found a significant effect of HIE on speed of information processing (F(2, 64) = 3.51, p < .037, η2 = 0.115), but not on other neuropsychological domains. Using tract-based spatial statistics we were also able to confirm a correlation between the degree of impairment in this cognitive domain and fractional anisotropy in several white-matter tracts. CONCLUSIONS The long-term cognitive outcome of moderate HIE includes reduced speed of information processing and is in part mediated by reduced integrity of major white-matter tracts.
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Affiliation(s)
- David Gosar
- University Children's Hospital, University Medical Centre Ljubljana, Department of Child, Adolescent and Developmental Neurology, Ljubljana, Slovenia.
| | - Vali Tretnjak
- University Children's Hospital, University Medical Centre Ljubljana, Department of Child, Adolescent and Developmental Neurology, Ljubljana, Slovenia
| | - Tina Bregant
- Centre for Education and Rehabilitation of Physically Handicapped Children and Adolescents - CIRIUS Kamnik, Slovenia
| | - David Neubauer
- University Children's Hospital, University Medical Centre Ljubljana, Department of Child, Adolescent and Developmental Neurology, Ljubljana, Slovenia
| | - Metka Derganc
- University Medical Centre Ljubljana, Department of Paediatric Surgery and Intensive Care, Ljubljana, Slovenia
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Wan N, Chen Z, Wan L, Tang B, Jiang H. MR Imaging of SCA3/MJD. Front Neurosci 2020; 14:749. [PMID: 32848545 PMCID: PMC7417615 DOI: 10.3389/fnins.2020.00749] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/25/2020] [Indexed: 12/15/2022] Open
Abstract
Spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) is a progressive autosomal dominantly inherited cerebellar ataxia characterized by the aggregation of polyglutamine-expanded protein within neuronal nuclei in the brain, which can lead to brain damage that precedes the onset of clinical manifestations. Magnetic resonance imaging (MRI) techniques such as morphometric MRI, diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), and magnetic resonance spectroscopy (MRS) have gained increasing attention as non-invasive and quantitative methods for the assessment of structural and functional alterations in clinical SCA3/MJD patients as well as preclinical carriers. Morphometric MRI has demonstrated typical patterns of atrophy or volume loss in the cerebellum and brainstem with extensive lesions in some supratentorial areas. DTI has detected widespread microstructural alterations in brain white matter, which indicate disrupted brain anatomical connectivity. Task-related fMRI has presented unusual brain activation patterns within the cerebellum and some extracerebellar tissue, reflecting the decreased functional connectivity of these brain regions in SCA3/MJD subjects. MRS has revealed abnormal neurochemical profiles, such as the levels or ratios of N-acetyl aspartate, choline, and creatine, in both clinical cases and preclinical cases before the alterations in brain anatomical structure. Moreover, a number of studies have reported correlations of MR imaging alterations with clinical and genetic features. The utility of these MR imaging techniques can help to identify preclinical SCA3/MJD carriers, monitor disease progression, evaluate response to therapeutic interventions, and illustrate the pathophysiological mechanisms underlying the occurrence, development, and prognosis of SCA3/MJD.
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Affiliation(s)
- Na Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Linlin Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
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36
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Neural correlates of motor expertise: Extensive motor training and cortical changes. Brain Res 2020; 1739:146323. [DOI: 10.1016/j.brainres.2019.146323] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 06/28/2019] [Accepted: 07/02/2019] [Indexed: 01/05/2023]
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Gunbey HP, Has AC, Aslan K, Saglam D, Avcı U, Sayıt AT, Incesu L. Microstructural white matter abnormalities in hypothyroidism evaluation with diffusion tensor imaging tract-based spatial statistical analysis. Radiol Med 2020; 126:283-290. [PMID: 32524282 DOI: 10.1007/s11547-020-01234-7] [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: 10/10/2019] [Accepted: 05/25/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE Hypothyroidism is presented in a wide range from neuropsychiatric problems including depression, memory and cognitive disorders to poor motor coordination. Against the background of morphologic, functional and molecular changes on the white and grey matter of the brain, we aimed to investigate the effects of hypothyroidism on white matter (WM) integrity using tract-based spatial statistics (TBSS). METHODS Eighteen patients with hyperthyroidism and 14 age-sex-matched healthy control subjects were included in this study. TBSS was used in the diffusion tensor imaging study for whole-brain voxel wise analysis of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) of WM. RESULTS When compared to the control group, the whole brain TBSS revealed extensive reductions of FA in the supratentorial WM including corticospinal tract, posterior limb of the internal capsule (PLIC), uncinate fasciculus, inferior longitudinal fasciculus (p < 0.005). The ROI analyses showed RD increment of superior longitudinal fasciculus, AD decrement of cingulum (CIN), external capsule, PLIC and corpus callosum (CC) in patients with hypothyroidism (p < 0.005). Autoimmune and non-autoimmune hypothyroidism patient subgroups showed a significant difference in terms of hippocampus FA, CIN MD, CC MD, CC AD, CIN RD, SLF RD, CC RD (p < 0.005). CIN FA values showed a negative correlation with the Beck Depression Inventory (p = 0.007, r = - 852). CONCLUSIONS These preliminary results of TBSS analyses represented FA and AD decrement, and RD increment in several WM tracts and indicates the demyelination process underlying pathophysiology of clinical aspects of hypothyroidism.
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Affiliation(s)
- Hediye Pınar Gunbey
- Department of Radiology, University of Health Sciences Kartal Lutfi Kırdar Training and Research Hospital, 34890, Kartal/Istanbul, Turkey.
| | - Arzu Ceylan Has
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kerim Aslan
- Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
| | - Dilek Saglam
- Departmant of Radiology, University of Health Sciences Malatya Training and Research Hospital, Malatya, Turkey
| | - Ugur Avcı
- Department of Endocrinology, Recep Tayyip Erdogan University, Rize, Turkey
| | | | - Lutfi Incesu
- Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
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Bergamino M, Keeling EG, Mishra VR, Stokes AM, Walsh RR. Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review. Front Neurol 2020; 11:314. [PMID: 32477235 PMCID: PMC7240075 DOI: 10.3389/fneur.2020.00314] [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: 12/23/2019] [Accepted: 03/31/2020] [Indexed: 12/15/2022] Open
Abstract
Structural brain white matter (WM) changes such as axonal caliber, density, myelination, and orientation, along with WM-dependent structural connectivity, may be impacted early in Parkinson disease (PD). Diffusion magnetic resonance imaging (dMRI) has been used extensively to understand such pathological WM changes, and the focus of this systematic review is to understand both the methods utilized and their corresponding results in the context of early-stage PD. Diffusion tensor imaging (DTI) is the most commonly utilized method to probe WM pathological changes. Previous studies have suggested that DTI metrics are sensitive in capturing early disease-associated WM changes in preclinical symptomatic regions such as olfactory regions and the substantia nigra, which is considered to be a hallmark of PD pathology and progression. Postprocessing analytic approaches include region of interest–based analysis, voxel-based analysis, skeletonized approaches, and connectome analysis, each with unique advantages and challenges. While DTI has been used extensively to study WM disorganization in early-stage PD, it has several limitations, including an inability to resolve multiple fiber orientations within each voxel and sensitivity to partial volume effects. Given the subtle changes associated with early-stage PD, these limitations result in inaccuracies that severely impact the reliability of DTI-based metrics as potential biomarkers. To overcome these limitations, advanced dMRI acquisition and analysis methods have been employed, including diffusion kurtosis imaging and q-space diffeomorphic reconstruction. The combination of improved acquisition and analysis in DTI may yield novel and accurate information related to WM-associated changes in early-stage PD. In the current article, we present a systematic and critical review of dMRI studies in early-stage PD, with a focus on recent advances in DTI methodology. Yielding novel metrics, these advanced methods have been shown to detect diffuse WM changes in early-stage PD. These findings support the notion of early axonal damage in PD and suggest that WM pathology may go unrecognized until symptoms appear. Finally, the advantages and disadvantages of different dMRI techniques, analysis methods, and software employed are discussed in the context of PD-related pathology.
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Affiliation(s)
- Maurizio Bergamino
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Elizabeth G Keeling
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States.,School of Life Sciences, Arizona State University, Tempe, AZ, United States
| | - Virendra R Mishra
- Imaging Research, Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States
| | - Ashley M Stokes
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Ryan R Walsh
- Muhammad Ali Parkinson Center, Barrow Neurological Institute, Phoenix, AZ, United States
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Sagnier S, Catheline G, Dilharreguy B, Linck PA, Coupé P, Munsch F, Bigourdan A, Debruxelles S, Poli M, Olindo S, Renou P, Rouanet F, Dousset V, Berthoz S, Tourdias T, Sibon I. Normal-Appearing White Matter Integrity Is a Predictor of Outcome After Ischemic Stroke. Stroke 2020; 51:449-456. [PMID: 31906830 DOI: 10.1161/strokeaha.119.026886] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- The aim of the present study was to evaluate the relationship between normal-appearing white matter (NAWM) integrity and postischemic stroke recovery in 4 main domains including cognition, mood, gait, and dependency. Methods- A prospective study was conducted, including patients diagnosed for an ischemic supratentorial stroke on a 3T brain MRI performed 24 to 72 hours after symptom onset. Clinical assessment 1 year after stroke included a Montreal Cognitive Assessment, an Isaacs set test, a Zazzo cancelation task, a Hospital Anxiety and Depression scale, a 10-meter walking test, and a modified Rankin Scale (mRS). Diffusion tensor imaging parameters in the NAWM were computed using FMRIB (Functional Magnetic Resonance Imaging of the Brain) Diffusion Toolbox. The relationships between mean NAWM diffusion tensor imaging parameters and the clinical scores were assessed using linear and ordinal regression analyses, including the volumes of white matter hyperintensities, gray matter, and ischemic stroke as radiological covariates. Results- Two hundred seven subjects were included (66±13 years old; 67% men; median National Institutes of Health Stroke Scale score, 3; interquartile range, 2-6). In the models including only radiological variables, NAWM fractional anisotropy was associated with the mRS and the cognitive scores. After adjusting for demographic confounders, NAWM fractional anisotropy remained a significant predictor of mRS (β=-0.24; P=0.04). Additional path analysis showed that NAWM fractional anisotropy had a direct effect on mRS (β=-0.241; P=0.001) and a less important indirect effect mediating white matter hyperintensity burden. Similar results were found with mean diffusivity, axial diffusivity, and radial diffusivity. In further subgroup analyses, a relationship between NAWM integrity in widespread white matter tracts, mRS, and Isaacs set test was found in right hemispheric strokes. Conclusions- NAWM diffusion tensor imaging parameters measured early after an ischemic stroke are independent predictors of functional outcome and may be additional markers to include in studies evaluating poststroke recovery.
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Affiliation(s)
- Sharmila Sagnier
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.).,CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Gwenaëlle Catheline
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.)
| | - Bixente Dilharreguy
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.)
| | | | - Pierrick Coupé
- UMR-5800-CNRS, Université de Bordeaux, LaBRI, Talence, France (P.C.)
| | - Fanny Munsch
- Beth Israel Deaconess Medical Center, Harvard University, Boston, MA (F.M.)
| | - Antoine Bigourdan
- CHU de Bordeaux, Neuroradiologie, France (P.-A.L., A.B., V.D., T.T.)
| | - Sabrina Debruxelles
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Mathilde Poli
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Stéphane Olindo
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Pauline Renou
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - François Rouanet
- CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
| | - Vincent Dousset
- CHU de Bordeaux, Neuroradiologie, France (P.-A.L., A.B., V.D., T.T.).,INSERM-U862, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Sylvie Berthoz
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.).,Département de Psychiatrie de l'Adolescent et du Jeune Adulte, Institut Mutualiste Montsouris, Paris, France (S.B.)
| | - Thomas Tourdias
- CHU de Bordeaux, Neuroradiologie, France (P.-A.L., A.B., V.D., T.T.).,INSERM-U862, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Igor Sibon
- From the UMR-5287-CNRS, Université de Bordeaux, EPHE PSL Research University, France (S.S., G.C., B.D., S.B., I.S.).,CHU de Bordeaux, Unité Neuro-vasculaire, France (S.S., S.D., M.P., S.O., P.R., F.R., I.S.)
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Björnholm L, Nikkinen J, Kiviniemi V, Niemelä S, Drakesmith M, Evans JC, Pike GB, Richer L, Pausova Z, Veijola J, Paus T. Prenatal exposure to maternal cigarette smoking and structural properties of the human corpus callosum. Neuroimage 2019; 209:116477. [PMID: 31874257 DOI: 10.1016/j.neuroimage.2019.116477] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 12/09/2019] [Accepted: 12/18/2019] [Indexed: 11/28/2022] Open
Abstract
Alterations induced by prenatal exposure to nicotine have been observed in experimental (rodent) studies. While numerous developmental outcomes have been associated with prenatal exposure to maternal cigarette smoking (PEMCS) in humans, the possible relation with brain structure is less clear. Here we sought to elucidate the relation between PEMCS and structural properties of human corpus callosum in adolescence and early adulthood in a total of 1,747 youth. We deployed three community-based cohorts of 446 (age 25-27 years, 46% exposed), 934 (age 12-18 years, 47% exposed) and 367 individuals (age 18-21 years, 9% exposed). A mega-analysis revealed lower mean diffusivity in the callosal segments of exposed males. We speculate that prenatal exposure to maternal cigarette smoking disrupts the early programming of callosal structure and increases the relative portion of small-diameter fibres.
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Affiliation(s)
- L Björnholm
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu and Oulu University Hospital, Oulu, Finland.
| | - J Nikkinen
- Department of Radiotherapy, Oulu University Hospital, Oulu, Finland; MIPT/MRC, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - V Kiviniemi
- Institute of Diagnostics, Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Oulu Functional Neuroimaging, MIPT/MRC, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - S Niemelä
- Department of Psychiatry, University of Turku, Turku, Finland; Addiction Psychiatry Unit, Department of Psychiatry, Hospital District of Southwest Finland, Finland
| | - M Drakesmith
- School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - J C Evans
- School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - G B Pike
- Department of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - L Richer
- Department of Health Sciences, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
| | - Z Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - J Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - T Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada; Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada.
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Oschwald J, Guye S, Liem F. Brain structure and cognitive ability in healthy aging: a review on longitudinal correlated change. Rev Neurosci 2019; 31:1-57. [PMID: 31194693 PMCID: PMC8572130 DOI: 10.1515/revneuro-2018-0096] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 03/02/2019] [Indexed: 12/20/2022]
Abstract
Little is still known about the neuroanatomical substrates related to changes in specific cognitive abilities in the course of healthy aging, and the existing evidence is predominantly based on cross-sectional studies. However, to understand the intricate dynamics between developmental changes in brain structure and changes in cognitive ability, longitudinal studies are needed. In the present article, we review the current longitudinal evidence on correlated changes between magnetic resonance imaging-derived measures of brain structure (e.g. gray matter/white matter volume, cortical thickness), and laboratory-based measures of fluid cognitive ability (e.g. intelligence, memory, processing speed) in healthy older adults. To theoretically embed the discussion, we refer to the revised Scaffolding Theory of Aging and Cognition. We found 31 eligible articles, with sample sizes ranging from n = 25 to n = 731 (median n = 104), and participant age ranging from 19 to 103. Several of these studies report positive correlated changes for specific regions and specific cognitive abilities (e.g. between structures of the medial temporal lobe and episodic memory). However, the number of studies presenting converging evidence is small, and the large methodological variability between studies precludes general conclusions. Methodological and theoretical limitations are discussed. Clearly, more empirical evidence is needed to advance the field. Therefore, we provide guidance for future researchers by presenting ideas to stimulate theory and methods for development.
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Affiliation(s)
- Jessica Oschwald
- University Research Priority Program ‘Dynamics of Healthy Aging’, University of Zurich, Andreasstrasse 15, CH-8050 Zurich, Switzerland
| | - Sabrina Guye
- University Research Priority Program ‘Dynamics of Healthy Aging’, University of Zurich, Andreasstrasse 15, CH-8050 Zurich, Switzerland
| | - Franziskus Liem
- University Research Priority Program ‘Dynamics of Healthy Aging’, University of Zurich, Andreasstrasse 15, CH-8050 Zurich, Switzerland
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Nolze-Charron G, Dufort-Rouleau R, Houde JC, Dumont M, Castellano CA, Cunnane S, Lorrain D, Fülöp T, Descoteaux M, Bocti C. Tractography of the external capsule and cognition: A diffusion MRI study of cholinergic fibers. Exp Gerontol 2019; 130:110792. [PMID: 31778753 DOI: 10.1016/j.exger.2019.110792] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 10/23/2019] [Accepted: 11/21/2019] [Indexed: 12/13/2022]
Abstract
INTRODUCTION White matter changes (WMC) in the cholinergic tracts contribute to executive dysfunction in the context of cognitive aging. WMC in the external capsule have been associated with executive dysfunction. The objectives of this study were to: 1) Characterize the lateral cholinergic tracts (LCT) and the superior longitudinal fasciculus (SLF). 2) Evaluate the association between diffusion measures within those tracts and cognitive performance. METHODS Neuropsychological testing and high angular resolution diffusion imaging (HARDI) of 34 healthy elderly participants was done, followed by anatomically constrained probabilistic tractography reconstruction robust to crossing fibers. The external capsule was manually segmented on a mean T1 image then merged with an atlas, allowing extraction of the LCT. Diffusion tensor imaging (DTI) and HARDI-based measures were obtained. RESULTS Correlations between diffusion measures in the LCT and the time of completion of Stroop (left LCT radial and medial diffusivity), the Symbol Search score (right LCT apparent fiber density) and the motor part of Trail-B (left LCT axial and radial diffusivity) were observed. Correlations were also found with diffusion measures in the SLF. WMC burden was low, and no correlation was found with diffusion measures or cognitive performance. DISCUSSION DTI and HARDI, with isolation of strategic white matter tracts for cognitive functions, represent complimentary tools to better understand the complex process of brain aging.
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Affiliation(s)
- Geneviève Nolze-Charron
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada; Division of Neurology, Department of Medicine, Hôpital de Rouyn-Noranda - CISSS de l'Abitibi-Témiscamingue, 4, 9e Rue, Rouyn-Noranda, Quebec J9X 2B2, Canada.
| | - Raphaël Dufort-Rouleau
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada.
| | - Jean-Christophe Houde
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, 2500 Boulevard de l'Université, Sherbrooke, Quebec J1K 0A5, Canada.
| | - Matthieu Dumont
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, 2500 Boulevard de l'Université, Sherbrooke, Quebec J1K 0A5, Canada.
| | - Christian-Alexandre Castellano
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada; Research Centre on Aging, CIUSSS de l'Estrie-CHUS, 1036 rue Belvédère Sud, Sherbrooke, Quebec J1H 4C4, Canada.
| | - Stephen Cunnane
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada; Research Centre on Aging, CIUSSS de l'Estrie-CHUS, 1036 rue Belvédère Sud, Sherbrooke, Quebec J1H 4C4, Canada.
| | - Dominique Lorrain
- Research Centre on Aging, CIUSSS de l'Estrie-CHUS, 1036 rue Belvédère Sud, Sherbrooke, Quebec J1H 4C4, Canada.
| | - Tamàs Fülöp
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada; Research Centre on Aging, CIUSSS de l'Estrie-CHUS, 1036 rue Belvédère Sud, Sherbrooke, Quebec J1H 4C4, Canada.
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, 2500 Boulevard de l'Université, Sherbrooke, Quebec J1K 0A5, Canada.
| | - Christian Bocti
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada; Research Centre on Aging, CIUSSS de l'Estrie-CHUS, 1036 rue Belvédère Sud, Sherbrooke, Quebec J1H 4C4, Canada; Division of Neurology, Department of Medicine, CIUSSS de l'Estrie-Centre Hospitalier Universitaire de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada.
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43
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Borkowski K, Krzyżak AT. Assessment of the systematic errors caused by diffusion gradient inhomogeneity in DTI-computer simulations. NMR IN BIOMEDICINE 2019; 32:e4130. [PMID: 31343807 DOI: 10.1002/nbm.4130] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 05/15/2019] [Accepted: 05/19/2019] [Indexed: 06/10/2023]
Abstract
Diffusion tensor imaging (DTI) is a powerful MRI modality that allows the investigation of the microstructure of tissues both in vivo and noninvasively. Its reliability is strictly dependent on the performance of diffusion-sensitizing gradients, of which spatial nonuniformity is a known issue in the case of virtually all clinical MRI scanners. The influence of diffusion gradient inhomogeneity on the accuracy of the diffusion tensor imaging was investigated by means of computer simulations supported by an MRI experiment performed at the isocenter and 15 cm away. The DTI measurements of two diffusion phantoms were simulated assuming a nonuniform diffusion-sensitizing gradient and various levels of noise. Thereafter, the tensors were calculated by two methods: (i) assuming a spatially constant b-matrix (standard DTI) and (ii) applying the b-matrix spatial distribution in the DTI (BSD-DTI) technique, a method of indicating the b-matrix for each voxel separately using an anisotropic phantom as a standard of diffusion. The average eigenvalues and fractional anisotropy across the homogeneous region of interest were calculated and compared with the expected values. Diffusion gradient inhomogeneity leads to overestimation of the largest eigenvalue, underestimation of the smallest one and thus overestimation of fractional anisotropy. The effect is similar to that caused by noise; however, it could not be corrected by increasing SNR. The MRI measurements, performed using a 3 T clinical scanner, revealed that the split of the eigenvalues measured 15 cm away from the isocenter is significant (up to 25%). The BSD-DTI calibration allowed the reduction of the measured fractional anisotropy of the isotropic medium from 0.174 to 0.031, suggesting that gradient inhomogeneity was the main cause of this error. For the phantom measured at the isocenter, however, the split was almost not observed; the average eigenvalues were shifted from the expected value by ~ 5%.
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Affiliation(s)
- Karol Borkowski
- Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland
| | - Artur T Krzyżak
- Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Cracow, Poland
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44
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Chu T, Zhang YP, Tian Z, Ye C, Zhu M, Shields LBE, Kong M, Barnes GN, Shields CB, Cai J. Dynamic response of microglia/macrophage polarization following demyelination in mice. J Neuroinflammation 2019; 16:188. [PMID: 31623610 PMCID: PMC6798513 DOI: 10.1186/s12974-019-1586-1] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 09/11/2019] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The glial response in multiple sclerosis (MS), especially for recruitment and differentiation of oligodendrocyte progenitor cells (OPCs), predicts the success of remyelination of MS plaques and return of function. As a central player in neuroinflammation, activation and polarization of microglia/macrophages (M/M) that modulate the inflammatory niche and cytokine components in demyelination lesions may impact the OPC response and progression of demyelination and remyelination. However, the dynamic behaviors of M/M and OPCs during demyelination and spontaneous remyelination are poorly understood, and the complex role of neuroinflammation in the demyelination-remyelination process is not well known. In this study, we utilized two focal demyelination models with different dynamic patterns of M/M to investigate the correlation between M/M polarization and the demyelination-remyelination process. METHODS The temporal and spatial features of M/M activation/polarization and OPC response in two focal demyelination models induced by lysolecithin (LPC) and lipopolysaccharide (LPS) were examined in mice. Detailed discrimination of morphology, sensorimotor function, diffusion tensor imaging (DTI), inflammation-relevant cytokines, and glial responses between these two models were analyzed at different phases. RESULTS The results show that LPC and LPS induced distinctive temporal and spatial lesion patterns. LPS produced diffuse demyelination lesions, with a delayed peak of demyelination and functional decline compared to LPC. Oligodendrocytes, astrocytes, and M/M were scattered throughout the LPS-induced demyelination lesions but were distributed in a layer-like pattern throughout the LPC-induced lesion. The specific M/M polarization was tightly correlated to the lesion pattern associated with balance beam function. CONCLUSIONS This study elaborated on the spatial and temporal features of neuroinflammation mediators and glial response during the demyelination-remyelination processes in two focal demyelination models. Specific M/M polarization is highly correlated to the demyelination-remyelination process probably via modulations of the inflammatory niche, cytokine components, and OPC response. These findings not only provide a basis for understanding the complex and dynamic glial phenotypes and behaviors but also reveal potential targets to promote/inhibit certain M/M phenotypes at the appropriate time for efficient remyelination.
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Affiliation(s)
- Tianci Chu
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Donald Baxter Building, Suite 321B, 570 S. Preston Street, Louisville, KY, 40202, USA
| | - Yi Ping Zhang
- Norton Neuroscience Institute, Norton Healthcare, 210 East Gray Street, Suite 1102, Louisville, KY, 40202, USA
| | - Zhisen Tian
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Donald Baxter Building, Suite 321B, 570 S. Preston Street, Louisville, KY, 40202, USA
- Department of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, 130033, People's Republic of China
| | - Chuyuan Ye
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Donald Baxter Building, Suite 321B, 570 S. Preston Street, Louisville, KY, 40202, USA
- Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, People's Republic of China
| | - Mingming Zhu
- Department of Radiology, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Lisa B E Shields
- Norton Neuroscience Institute, Norton Healthcare, 210 East Gray Street, Suite 1102, Louisville, KY, 40202, USA
| | - Maiying Kong
- Department of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Sciences, Louisville, KY, 40202, USA
| | - Gregory N Barnes
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Donald Baxter Building, Suite 321B, 570 S. Preston Street, Louisville, KY, 40202, USA
- Department of Neurology, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, KY, 40202, USA
| | - Christopher B Shields
- Norton Neuroscience Institute, Norton Healthcare, 210 East Gray Street, Suite 1102, Louisville, KY, 40202, USA.
- Department of Neurological Surgery, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
| | - Jun Cai
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Donald Baxter Building, Suite 321B, 570 S. Preston Street, Louisville, KY, 40202, USA.
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, KY, 40202, USA.
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45
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Kristensen TD, Mandl RCW, Raghava JM, Jessen K, Jepsen JRM, Fagerlund B, Glenthøj LB, Wenneberg C, Krakauer K, Pantelis C, Nordentoft M, Glenthøj BY, Ebdrup BH. Widespread higher fractional anisotropy associates to better cognitive functions in individuals at ultra-high risk for psychosis. Hum Brain Mapp 2019; 40:5185-5201. [PMID: 31430023 PMCID: PMC6864899 DOI: 10.1002/hbm.24765] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Accepted: 08/02/2019] [Indexed: 12/15/2022] Open
Abstract
In schizophrenia patients, cognitive functions appear linked to widespread alterations in cerebral white matter microstructure. Here we examine patterns of associations between regional white matter and cognitive functions in individuals at ultra-high risk for psychosis. One hundred and sixteen individuals at ultra-high risk for psychosis and 49 matched healthy controls underwent 3 T magnetic resonance diffusion-weighted imaging and cognitive assessments. Group differences on fractional anisotropy were tested using tract-based spatial statistics. Group differences in cognitive functions, voxel-wise as well as regional fractional anisotropy were tested using univariate general linear modeling. Multivariate partial least squares correlation analyses tested for associations between patterns of regional fractional anisotropy and cognitive functions. Univariate analyses revealed significant impairments on cognitive functions and lower fractional anisotropy in superior longitudinal fasciculus and cingulate gyrus in individuals at ultra-high risk for psychosis. Partial least squares correlation analysis revealed different associations between patterns of regional fractional anisotropy and cognitive functions in individuals at ultra-high risk for psychosis compared to healthy controls. Widespread higher fractional anisotropy was associated with better cognitive functioning for individuals at ultra-high risk for psychosis, but not for the healthy controls. Furthermore, patterns of cognitive functions were associated with an interaction-effect on regional fractional anisotropy in fornix, medial lemniscus, uncinate fasciculus, and superior cerebellar peduncle. Aberrant associations between patterns of cognitive functions to white matter may be explained by dysmyelination.
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Affiliation(s)
- Tina D Kristensen
- Copenhagen Research Center for Mental Health, CORE, Mental Health Centre Copenhagen, University of Copenhagen, Hellerup, Denmark.,Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - René C W Mandl
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,University Medical Center Utrecht Brain Center, Utrecht, the Netherlands
| | - Jayachandra M Raghava
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Glostrup, Denmark
| | - Kasper Jessen
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Jens Richardt M Jepsen
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, University of Copenhagen, Hellerup, Denmark
| | - Birgitte Fagerlund
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Louise B Glenthøj
- Copenhagen Research Center for Mental Health, CORE, Mental Health Centre Copenhagen, University of Copenhagen, Hellerup, Denmark.,Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Christina Wenneberg
- Copenhagen Research Center for Mental Health, CORE, Mental Health Centre Copenhagen, University of Copenhagen, Hellerup, Denmark.,Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Kristine Krakauer
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Christos Pantelis
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Melbourne Neuropsychiatry Center, MNC, The University of Melbourne, Melbourne, Australia
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health, CORE, Mental Health Centre Copenhagen, University of Copenhagen, Hellerup, Denmark.,Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birte Y Glenthøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bjørn H Ebdrup
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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46
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Puglisi G, Howells H, Sciortino T, Leonetti A, Rossi M, Conti Nibali M, Gabriel Gay L, Fornia L, Bellacicca A, Viganò L, Simone L, Catani M, Cerri G, Bello L. Frontal pathways in cognitive control: direct evidence from intraoperative stimulation and diffusion tractography. Brain 2019; 142:2451-2465. [PMID: 31347684 PMCID: PMC6658848 DOI: 10.1093/brain/awz178] [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: 11/14/2018] [Revised: 04/18/2019] [Accepted: 04/28/2019] [Indexed: 12/16/2022] Open
Abstract
A key aspect of cognitive control is the management of conflicting incoming information to achieve a goal, termed 'interference control'. Although the role of the right frontal lobe in interference control is evident, the white matter tracts subserving this cognitive process remain unclear. To investigate this, we studied the effect of transient network disruption (by means of direct electrical stimulation) and permanent disconnection (resulting from neurosurgical resection) on interference control processes, using the Stroop test in the intraoperative and extraoperative neurosurgical setting. We evaluated the sites at which errors could be produced by direct electrical stimulation during an intraoperative Stroop test in 34 patients with frontal right hemisphere glioma. Lesion-symptom mapping was used to evaluate the relationship between the resection cavities and postoperative performance on the Stroop test of this group compared with an additional 29 control patients who did not perform the intraoperative test (63 patients in total aged 17-77 years; 28 female). We then examined tract disruption and disconnection in a subset of eight patients who underwent both the intraoperative Stroop test and high angular resolution diffusion imaging (HARDI) tractography. The results showed that, intraoperatively, the majority of sites associated with errors during Stroop test performance and concurrent subcortical stimulation clustered in a region of white matter medial to the right inferior frontal gyrus, lateral and superior to the striatum. Patients who underwent the intraoperative test maintained cognitive control ability at the 1-month follow-up (P = 0.003). Lesion-symptom analysis showed resection of the right inferior frontal gyrus was associated with slower postoperative Stroop test ability (corrected for multiple comparisons, 5000 permutations). The stimulation sites associated with intraoperative errors most commonly corresponded with the inferior fronto-striatal tracts and anterior thalamic radiation (over 75% of patients), although the latter was commonly resected without postoperative deficits on the Stroop test (in 60% of patients). Our results show converging evidence to support a critical role for the inferior frontal gyrus in interference control processes. The intraoperative data combined with tractography suggests that cortico-subcortical tracts, over cortico-cortical connections, may be vital in maintaining efficiency of cognitive control processes. This suggests the importance of their preservation during resection of right frontal tumours.
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Affiliation(s)
- Guglielmo Puglisi
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Henrietta Howells
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Tommaso Sciortino
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Centre, IRCCS, Rozzano, Milan, Italy
| | - Antonella Leonetti
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Marco Rossi
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Centre, IRCCS, Rozzano, Milan, Italy
| | - Marco Conti Nibali
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Centre, IRCCS, Rozzano, Milan, Italy
| | - Lorenzo Gabriel Gay
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Centre, IRCCS, Rozzano, Milan, Italy
| | - Luca Fornia
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Andrea Bellacicca
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Luca Viganò
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Luciano Simone
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Marco Catani
- Natbrainlab, Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Gabriella Cerri
- Laboratory of Motor Control, Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, and Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Lorenzo Bello
- Department of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Centre, IRCCS, Rozzano, Milan, Italy
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47
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Rojas-Vite G, Coronado-Leija R, Narvaez-Delgado O, Ramírez-Manzanares A, Marroquín JL, Noguez-Imm R, Aranda ML, Scherrer B, Larriva-Sahd J, Concha L. Histological validation of per-bundle water diffusion metrics within a region of fiber crossing following axonal degeneration. Neuroimage 2019; 201:116013. [PMID: 31326575 DOI: 10.1016/j.neuroimage.2019.116013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 06/11/2019] [Accepted: 07/11/2019] [Indexed: 12/12/2022] Open
Abstract
Micro-architectural characteristics of white matter can be inferred through analysis of diffusion-weighted magnetic resonance imaging (dMRI). The diffusion-dependent signal can be analyzed through several methods, with the tensor model being the most frequently used due to its straightforward interpretation and low requirements for acquisition parameters. While valuable information can be gained from the tensor-derived metrics in regions of homogeneous tissue organization, this model does not provide reliable microstructural information at crossing fiber regions, which are pervasive throughout human white matter. Several multiple fiber models have been proposed that seem to overcome the limitations of the tensor, with few providing per-bundle dMRI-derived metrics. However, biological interpretations of such metrics are limited by the lack of histological confirmation. To this end, we developed a straightforward biological validation framework. Unilateral retinal ischemia was induced in ten rats, which resulted in axonal (Wallerian) degeneration of the corresponding optic nerve, while the contralateral was left intact; the intact and injured axonal populations meet at the optic chiasm as they cross the midline, generating a fiber crossing region in which each population has different diffusion properties. Five rats served as controls. High-resolution ex vivo dMRI was acquired five weeks after experimental procedures. We correlated and compared histology to per-bundle descriptors derived from three methodologies for dMRI analysis (constrained spherical deconvolution and two multi-tensor representations). We found a tight correlation between axonal density (as evaluated through automatic segmentation of histological sections) with per-bundle apparent fiber density and fractional anisotropy (derived from dMRI). The multi-fiber methods explored were able to correctly identify the damaged fiber populations in a region of fiber crossings (chiasm). Our results provide validation of metrics that bring substantial and clinically useful information about white-matter tissue at crossing fiber regions. Our proposed framework is useful to validate other current and future dMRI methods.
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Affiliation(s)
- Gilberto Rojas-Vite
- Institute of Neurobiology, Universidad Nacional Autónoma de México. Blvd. Juriquilla, 3001, Querétaro, Querétaro, Mexico
| | - Ricardo Coronado-Leija
- Institute of Neurobiology, Universidad Nacional Autónoma de México. Blvd. Juriquilla, 3001, Querétaro, Querétaro, Mexico
| | - Omar Narvaez-Delgado
- Institute of Neurobiology, Universidad Nacional Autónoma de México. Blvd. Juriquilla, 3001, Querétaro, Querétaro, Mexico
| | | | - José Luis Marroquín
- Centro de Investigación en Matemáticas, Valenciana S/N, Guanajuato, Guanajuato, Mexico
| | - Ramsés Noguez-Imm
- Institute of Neurobiology, Universidad Nacional Autónoma de México. Blvd. Juriquilla, 3001, Querétaro, Querétaro, Mexico
| | - Marcos L Aranda
- Department of Human Biochemistry, School of Medicine, University of Buenos Aires/CEFyBO, CONICET, Buenos Aires, Argentina
| | - Benoit Scherrer
- Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jorge Larriva-Sahd
- Institute of Neurobiology, Universidad Nacional Autónoma de México. Blvd. Juriquilla, 3001, Querétaro, Querétaro, Mexico
| | - Luis Concha
- Institute of Neurobiology, Universidad Nacional Autónoma de México. Blvd. Juriquilla, 3001, Querétaro, Querétaro, Mexico.
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48
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Cisneros-Mejorado AJ, Garay E, Ortiz-Retana J, Concha L, Moctezuma JP, Romero S, Arellano RO. Demyelination-Remyelination of the Rat Caudal Cerebellar Peduncle Evaluated with Magnetic Resonance Imaging. Neuroscience 2019; 439:255-267. [PMID: 31299350 DOI: 10.1016/j.neuroscience.2019.06.042] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 06/14/2019] [Accepted: 06/28/2019] [Indexed: 01/20/2023]
Abstract
Remyelination is common under physiological conditions and usually occurs as a response to a pathological demyelinating event. Its potentiation is an important goal for the development of therapies against pathologies such as multiple sclerosis and white matter injury. Visualization and quantification in vivo of demyelination and remyelination processes are essential for longitudinal studies that will allow the testing and development of pro-myelinating strategies. In this study, ethidium bromide (EB) was stereotaxically injected into the caudal cerebellar peduncle (c.c.p.) in rats to produce demyelination; the resulting lesion was characterized (i) transversally through histology using Black-Gold II (BGII) staining, and (ii) longitudinally through diffusion-weighted magnetic resonance imaging (dMRI), by computing fractional anisotropy (FA) and diffusivity parameters to detect microstructural changes. Using this characterization, we evaluated, in the lesioned c.c.p., the effect of N-butyl-β-carboline-3-carboxylate (β-CCB), a potentiator of GABAergic signaling in oligodendrocytes. The dMRI analysis revealed significant changes in the anisotropic and diffusivity properties of the c.c.p. A decreased FA and increased radial diffusivity (λ⊥) were evident following c.c.p. lesioning. These changes correlated strongly with an apparent decrease in myelin content as evidenced by BGII. Daily systemic β-CCB administration for 2 weeks in lesioned animals increased FA and decreased λ⊥, suggesting an improvement in myelination, which was supported by histological analysis. This study shows that structural changes in the demyelination-remyelination of the caudal cerebellar peduncle (DRCCP) model can be monitored longitudinally by MRI, and it suggests that remyelination is enhanced by β-CCB treatment. This article is part of a Special Issue entitled: Honoring Ricardo Miledi - outstanding neuroscientist of XX-XXI centuries.
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Affiliation(s)
- Abraham J Cisneros-Mejorado
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla Querétaro, CP 76230, Querétaro, Mexico
| | - Edith Garay
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla Querétaro, CP 76230, Querétaro, Mexico
| | - Juan Ortiz-Retana
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla Querétaro, CP 76230, Querétaro, Mexico
| | - Luis Concha
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla Querétaro, CP 76230, Querétaro, Mexico
| | - Juan P Moctezuma
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla Querétaro, CP 76230, Querétaro, Mexico
| | - Samuel Romero
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla Querétaro, CP 76230, Querétaro, Mexico
| | - Rogelio O Arellano
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla Querétaro, CP 76230, Querétaro, Mexico.
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49
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Querin G, Bede P, El Mendili MM, Li M, Pélégrini-Issac M, Rinaldi D, Catala M, Saracino D, Salachas F, Camuzat A, Marchand-Pauvert V, Cohen-Adad J, Colliot O, Le Ber I, Pradat PF. Presymptomatic spinal cord pathology in c9orf72 mutation carriers: A longitudinal neuroimaging study. Ann Neurol 2019; 86:158-167. [PMID: 31177556 DOI: 10.1002/ana.25520] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 06/03/2019] [Accepted: 06/06/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVE C9orf72 hexanucleotide repeats expansions account for almost half of familial amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) cases. Recent imaging studies in asymptomatic C9orf72 carriers have demonstrated cerebral white (WM) and gray matter (GM) degeneration before the age of 40 years. The objective of this study was to characterize cervical spinal cord (SC) changes in asymptomatic C9orf72 hexanucleotide carriers. METHODS Seventy-two asymptomatic individuals were enrolled in a prospective study of first-degree relatives of ALS and FTD patients carrying the c9orf72 hexanucleotide expansion. Forty of them carried the pathogenic mutation (C9+ ). Each subject underwent quantitative cervical cord imaging. Structural GM and WM metrics and diffusivity parameters were evaluated at baseline and 18 months later. Data were analyzed in C9+ and C9- subgroups, and C9+ subjects were further stratified by age. RESULTS At baseline, significant WM atrophy was detected at each cervical vertebral level in C9+ subjects older than 40 years without associated changes in GM and diffusion tensor imaging parameters. At 18-month follow-up, WM atrophy was accompanied by significant corticospinal tract (CST) fractional anisotropy (FA) reductions. Intriguingly, asymptomatic C9+ subjects older than 40 years with family history of ALS (as opposed to FTD) also exhibited significant CST FA reduction at baseline. INTERPRETATION Cervical SC imaging detects WM atrophy exclusively in C9+ subjects older than 40 years, and progressive CST FA reductions can be identified on 18-month follow-up. Cervical SC magnetic resonance imaging readily captures presymptomatic pathological changes and disease propagation in c9orf72-associated conditions. ANN NEUROL 2019;86:158-167.
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Affiliation(s)
- Giorgia Querin
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France.,Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Peter Bede
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France.,Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France.,Computational Neuroimaging Group, Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
| | - Mohamed Mounir El Mendili
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Menghan Li
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Mélanie Pélégrini-Issac
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Daisy Rinaldi
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France.,Reference Center for Rare or Early Dementia, Pitié-Salpêtrière Hospital, Paris, France
| | - Martin Catala
- Department of Neurology, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Sorbonne University, National Center for Scientific Research Mixed Unit of Research 7622, National Institute of Health and Medical Research Accademic Research Unit 1156, Biology Institute Paris-Seine, Paris, France
| | - Dario Saracino
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France
| | - François Salachas
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France
| | - Agnes Camuzat
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France
| | - Véronique Marchand-Pauvert
- Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France
| | - Julien Cohen-Adad
- NeuroPoly Laboratory, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada.,Functional Neuroimaging Unit, Research Center of the University Institute of Geriatrics of Montreal, University of Montreal, Montreal, Quebec, Canada
| | - Olivier Colliot
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France.,Aramis Project Team, Inria Research Center of Paris, Paris, France.,Center for Image Acquisition and Processing, Brain and Spinal Cord Institute, Paris, France
| | - Isabelle Le Ber
- Brain and Spinal Cord Institute, Sorbonne University, National Institute of Health and Medical Research U1127, National Center for Scientific Research Mixed Unit of Research 7225, Pitié-Salpêtrière Hospital, Paris, France.,Reference Center for Rare or Early Dementia, Pitié-Salpêtrière Hospital, Paris, France.,Institute of Memory and Alzheimer's Disease, Center of Excellence of Neurodegenerative Disease, Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France
| | - Pierre-François Pradat
- Department of Neurology, SLA Reference Center, Pitié-Salpêtrière Hospital, Public Hospital Network of Paris, Paris, France.,Laboratory of Biomedical Imaging, National Center for Scientific Research, National Institute of Health and Medical Research, Sorbonne University, Paris, France.,Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Clinical-Translational Research and Innovation Center, Altnagelvin Hospital, Londonderry, United Kingdom
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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 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] [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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