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Ouyang M, Detre JA, Hyland JL, Sindabizera KL, Kuschner ES, Edgar JC, Peng Y, Huang H. Spatiotemporal cerebral blood flow dynamics underlies emergence of the limbic-sensorimotor-association cortical gradient in human infancy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.10.588784. [PMID: 38645183 PMCID: PMC11030426 DOI: 10.1101/2024.04.10.588784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Infant cerebral blood flow (CBF) delivers nutrients and oxygen to fulfill brain energy consumption requirements for the fastest period of postnatal brain development across lifespan. However, organizing principle of whole-brain CBF dynamics during infancy remains obscure. Leveraging a unique cohort of 100+ infants with high-resolution arterial spin labeled MRI, we found the emergence of the cortical hierarchy revealed by highest-resolution infant CBF maps available to date. Infant CBF across cortical regions increased in a biphasic pattern with initial rapid and sequentially slower rate, with break-point ages increasing along the limbic-sensorimotor-association cortical gradient. Increases in CBF in sensorimotor cortices were associated with enhanced language and motor skills, and frontoparietal association cortices for cognitive skills. The study discovered emergence of the hierarchical limbic-sensorimotor-association cortical gradient in infancy, and offers standardized reference of infant brain CBF and insight into the physiological basis of cortical specialization and real-world infant developmental functioning.
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Affiliation(s)
- Minhui Ouyang
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, United States
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
| | - John A Detre
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
| | - Jessica L Hyland
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, United States
| | - Kay L Sindabizera
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, United States
| | - Emily S Kuschner
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, United States
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
| | - J Christopher Edgar
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, United States
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
| | - Yun Peng
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China
| | - Hao Huang
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, United States
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
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2
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Shou Q, Zhao C, Shao X, Herting MM, Wang DJ. High Resolution Multi-delay Arterial Spin Labeling with Transformer based Denoising for Pediatric Perfusion MRI. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.04.24303727. [PMID: 38496517 PMCID: PMC10942515 DOI: 10.1101/2024.03.04.24303727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Multi-delay arterial spin labeling (MDASL) can quantitatively measure cerebral blood flow (CBF) and arterial transit time (ATT), which is particularly suitable for pediatric perfusion imaging. Here we present a high resolution (iso-2mm) MDASL protocol and performed test-retest scans on 21 typically developing children aged 8 to 17 years. We further proposed a Transformer-based deep learning (DL) model with k-space weighted image average (KWIA) denoised images as reference for training the model. The performance of the model was evaluated by the SNR of perfusion images, as well as the SNR, bias and repeatability of the fitted CBF and ATT maps. The proposed method was compared to several benchmark methods including KWIA, joint denoising and reconstruction with total generalized variation (TGV) regularization, as well as directly applying a pretrained Transformer model on a larger dataset. The results show that the proposed Transformer model with KWIA reference can effectively denoise multi-delay ASL images, not only improving the SNR for perfusion images of each delay, but also improving the SNR for the fitted CBF and ATT maps. The proposed method also improved test-retest repeatability of whole-brain perfusion measurements. This may facilitate the use of MDASL in neurodevelopmental studies to characterize typical and aberrant brain development.
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Affiliation(s)
- Qinyang Shou
- University of Southern California, Los Angeles, California 90033 USA
| | - Chenyang Zhao
- University of Southern California, Los Angeles, California 90033 USA
| | - Xingfeng Shao
- University of Southern California, Los Angeles, California 90033 USA
| | - Megan M Herting
- University of Southern California, Los Angeles, California 90033 USA
| | - Danny Jj Wang
- University of Southern California, Los Angeles, California 90033 USA
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3
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Zhao MY, Tong E, Armindo RD, Woodward A, Yeom KW, Moseley ME, Zaharchuk G. Measuring Quantitative Cerebral Blood Flow in Healthy Children: A Systematic Review of Neuroimaging Techniques. J Magn Reson Imaging 2024; 59:70-81. [PMID: 37170640 PMCID: PMC10638464 DOI: 10.1002/jmri.28758] [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: 02/03/2023] [Revised: 04/13/2023] [Accepted: 04/14/2023] [Indexed: 05/13/2023] Open
Abstract
Cerebral blood flow (CBF) is an important hemodynamic parameter to evaluate brain health. It can be obtained quantitatively using medical imaging modalities such as magnetic resonance imaging and positron emission tomography (PET). Although CBF in adults has been widely studied and linked with cerebrovascular and neurodegenerative diseases, CBF data in healthy children are sparse due to the challenges in pediatric neuroimaging. An understanding of the factors affecting pediatric CBF and its normal range is crucial to determine the optimal CBF measuring techniques in pediatric neuroradiology. This review focuses on pediatric CBF studies using neuroimaging techniques in 32 articles including 2668 normal subjects ranging from birth to 18 years old. A systematic literature search was conducted in PubMed, Embase, and Scopus and reported following the preferred reporting items for systematic reviews and meta-analyses (PRISMA). We identified factors (such as age, gender, mood, sedation, and fitness) that have significant effects on pediatric CBF quantification. We also investigated factors influencing the CBF measurements in infants. Based on this review, we recommend best practices to improve CBF measurements in pediatric neuroimaging. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Moss Y Zhao
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Elizabeth Tong
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Rui Duarte Armindo
- Department of Radiology, Stanford University, Stanford, CA, USA
- Department of Neuroradiology, Hospital Beatriz Ângelo, Loures, Lisbon, Portugal
| | - Amanda Woodward
- Lane Medical Library, Stanford University, Stanford, CA, USA
| | - Kristen W. Yeom
- Department of Radiology, Stanford University, Stanford, CA, USA
| | | | - Greg Zaharchuk
- Department of Radiology, Stanford University, Stanford, CA, USA
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4
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Xu F, Liu D, Zhu D, Hillis AE, Bakker A, Soldan A, Albert MS, Lin DDM, Qin Q. Test-retest reliability of 3D velocity-selective arterial spin labeling for detecting normal variations of cerebral blood flow. Neuroimage 2023; 271:120039. [PMID: 36931331 PMCID: PMC10150252 DOI: 10.1016/j.neuroimage.2023.120039] [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: 12/28/2022] [Revised: 02/23/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Velocity-selective inversion (VSI) based velocity-selective arterial spin labeling (VSASL) has been developed to measure cerebral blood flow (CBF) with low susceptibility to the prolonged arterial transit time and high sensitivity to brain perfusion signal. The purpose of this magnetic resonance imaging study is to evaluate the test-retest reliability of a VSI-prepared 3D VSASL protocol with whole-brain coverage to detect baseline CBF variations among cognitively normal participants in different brain regions. Coefficients of variation (CoV) of both absolute and relative CBF across scans or sessions, subjects, and gray matter regions were calculated, and corresponding intraclass correlation coefficients (ICC) were computed. The higher between-subject CoV of absolute CBF (13.4 ± 2.0%) over within-subject CoV (within-session: 3.8 ± 1.1%; between-session: 4.9 ± 0.9%) yielded moderate to excellent ICC (within-session: 0.88±0.08; between-session: 0.77±0.14) to detect normal variations of individual CBF. The higher between-region CoV of relative CBF (11.4 ± 3.0%) over within-region CoV (within-session: 2.3 ± 0.9%; between-session: 3.3 ± 1.0%) yielded excellent ICC (within-session: 0.92±0.06; between-session: 0.85±0.12) to detect normal variations of regional CBF. Age, blood pressure, end-tidal CO2, and hematocrit partially explained the variability of CBF across subjects. Together these results show excellent test-retest reliability of VSASL to detect both between-subject and between-region variations supporting its clinical utility.
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Affiliation(s)
- Feng Xu
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA.
| | - Dapeng Liu
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Dan Zhu
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Doris D M Lin
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Qin Qin
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
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5
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Yu Q, Ouyang M, Detre J, Kang H, Hu D, Hong B, Fang F, Peng Y, Huang H. Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network. eLife 2023; 12:e78397. [PMID: 36693116 PMCID: PMC9873253 DOI: 10.7554/elife.78397] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 01/12/2023] [Indexed: 01/25/2023] Open
Abstract
Human infancy is characterized by most rapid regional cerebral blood flow (rCBF) increases across lifespan and emergence of a fundamental brain system default-mode network (DMN). However, how infant rCBF changes spatiotemporally across the brain and how the rCBF increase supports emergence of functional networks such as DMN remains unknown. Here, by acquiring cutting-edge multi-modal MRI including pseudo-continuous arterial-spin-labeled perfusion MRI and resting-state functional MRI of 48 infants cross-sectionally, we elucidated unprecedented 4D spatiotemporal infant rCBF framework and region-specific physiology-function coupling across infancy. We found that faster rCBF increases in the DMN than visual and sensorimotor networks. We also found strongly coupled increases of rCBF and network strength specifically in the DMN, suggesting faster local blood flow increase to meet extraneuronal metabolic demands in the DMN maturation. These results offer insights into the physiological mechanism of brain functional network emergence and have important implications in altered network maturation in brain disorders.
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Affiliation(s)
- Qinlin Yu
- Department of Radiology, Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Radiology, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Minhui Ouyang
- Department of Radiology, Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Radiology, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - John Detre
- Department of Radiology, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Department of Neurology, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Huiying Kang
- Department of Radiology, Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Radiology, Beijing Children’s Hospital, Capital Medical UniversityBeijingChina
| | - Di Hu
- Department of Radiology, Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Radiology, Beijing Children’s Hospital, Capital Medical UniversityBeijingChina
| | - Bo Hong
- Department of Biomedical Engineering, Tsinghua UniversityBeijingChina
| | - Fang Fang
- School of Psychological and Cognitive Sciences, Peking UniversityBeijingChina
| | - Yun Peng
- Department of Radiology, Beijing Children’s Hospital, Capital Medical UniversityBeijingChina
| | - Hao Huang
- Department of Radiology, Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Radiology, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
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6
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Vossough A. Newer MRI Techniques in Pediatric Neuroimaging. Semin Roentgenol 2023; 58:131-144. [PMID: 36732007 DOI: 10.1053/j.ro.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 10/27/2022] [Indexed: 11/23/2022]
Affiliation(s)
- Arastoo Vossough
- Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA..
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7
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Cabral L, Zubiaurre-Elorza L, Wild CJ, Linke A, Cusack R. Anatomical correlates of category-selective visual regions have distinctive signatures of connectivity in neonates. Dev Cogn Neurosci 2022; 58:101179. [PMID: 36521345 PMCID: PMC9768242 DOI: 10.1016/j.dcn.2022.101179] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/15/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022] Open
Abstract
The ventral visual stream is shaped during development by innate proto-organization within the visual system, such as the strong input from the fovea to the fusiform face area. In adults, category-selective regions have distinct signatures of connectivity to brain regions beyond the visual system, likely reflecting cross-modal and motoric associations. We tested if this long-range connectivity is part of the innate proto-organization, or if it develops with postnatal experience, by using diffusion-weighted imaging to characterize the connectivity of anatomical correlates of category-selective regions in neonates (N = 445), 1-9 month old infants (N = 11), and adults (N = 14). Using the HCP data we identified face- and place- selective regions and a third intermediate region with a distinct profile of selectivity. Using linear classifiers, these regions were found to have distinctive connectivity at birth, to other regions in the visual system and to those outside of it. The results support an extended proto-organization that includes long-range connectivity that shapes, and is shaped by, experience-dependent development.
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Affiliation(s)
- Laura Cabral
- Department of Radiology, University of Pittsburgh, Pittsburgh 15224, PA, USA,Correspondence to: UPMC Children's Hospital of Pittsburgh, Department of Radiology, University of Pittsburgh, Pittsburgh 15224, PA, USA.
| | - Leire Zubiaurre-Elorza
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao 48007, Spain
| | - Conor J. Wild
- Brain and Mind Institute, Western Interdisciplinary Research Building, Western University, London, Ontario N6A 3K7, Canada
| | - Annika Linke
- Brain Development Imaging Laboratories, San Diego State University, San Diego 92120, CA, USA
| | - Rhodri Cusack
- Trinity College Institute of Neuroscience, Trinity College Dublin, College Green, Dublin 2, Ireland
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8
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Alexander-Bloch AF, Sood R, Shinohara RT, Moore TM, Calkins ME, Chertavian C, Wolf DH, Gur RC, Satterthwaite TD, Gur RE, Barzilay R. Connectome-wide Functional Connectivity Abnormalities in Youth With Obsessive-Compulsive Symptoms. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:1068-1077. [PMID: 34375730 PMCID: PMC8821731 DOI: 10.1016/j.bpsc.2021.07.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 07/16/2021] [Accepted: 07/29/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Obsessive-compulsive symptomatology (OCS) is common in adolescence but usually does not meet the diagnostic threshold for obsessive-compulsive disorder. Nevertheless, both obsessive-compulsive disorder and subthreshold OCS are associated with increased likelihood of experiencing other serious psychiatric conditions, including depression and suicidal ideation. Unfortunately, there is limited information on the neurobiology of OCS. METHODS Here, we undertook one of the first brain imaging studies of OCS in a large adolescent sample (analyzed n = 832) from the Philadelphia Neurodevelopmental Cohort. We investigated resting-state functional magnetic resonance imaging functional connectivity using complementary analytic approaches that focus on different neuroanatomical scales, from known functional systems to connectome-wide tests. RESULTS We found a robust pattern of connectome-wide, OCS-related differences, as well as evidence of specific abnormalities involving known functional systems, including dorsal and ventral attention, frontoparietal, and default mode systems. Analysis of cerebral perfusion imaging and high-resolution structural imaging did not show OCS-related differences, consistent with domain specificity to functional connectivity. CONCLUSIONS The brain connectomic associations with OCS reported here, together with early studies of its clinical relevance, support the potential for OCS as an early marker of psychiatric risk that may enhance our understanding of mechanisms underlying the onset of adolescent psychopathology.
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Affiliation(s)
- Aaron F Alexander-Bloch
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Rahul Sood
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania; Penn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, Pennsylvania; Penn Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Casey Chertavian
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Theodore D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania; CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Raquel E Gur
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ran Barzilay
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
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9
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Sun Y, Liu Y, Yu W, Zhong Y. Regional impairment of deep gray matter perfusion in neonates with congenital heart disease revealed by arterial spin labeling MRI. Front Hum Neurosci 2022; 16:803006. [PMID: 36118973 PMCID: PMC9478434 DOI: 10.3389/fnhum.2022.803006] [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: 10/27/2021] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
The present study examined deep gray matter perfusion in neonates with congenital heart disease (CHD) with arterial spin labeling magnetic resonance imaging preoperatively. We found that neonates with cyanotic CHD showed lower right thalamus compared with controls and lower right basal ganglia perfusion compared with acyanotic CHD. When the CHD group was assessed as a whole, it showed slightly decreased left thalamus perfusion compared with controls. The results suggest that cardiac physiology plays a crucial part in changes in regional cerebral perfusion. Perfusion with arterial spin labeling may be a useful marker of high risk for impaired cerebral blood flow auto-regulation and cerebral hypoperfusion in neonates with CHD.
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Affiliation(s)
- Yan Sun
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yujie Liu
- Department of Cardiovascular and Thoracic Surgery, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wenwen Yu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Yumin Zhong
- Department of Radiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Yumin Zhong
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10
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Hak JF, Boulouis G, Kerleroux B, Benichi S, Stricker S, Gariel F, Garzelli L, Meyer P, Kossorotoff M, Boddaert N, Girard N, Vidal V, Dangouloff Ros V, Blauwblomme T, Naggara O. Noninvasive Follow-up Imaging of Ruptured Pediatric Brain AVMs Using Arterial Spin-Labeling. AJNR Am J Neuroradiol 2022; 43:1363-1368. [PMID: 36007951 PMCID: PMC9451641 DOI: 10.3174/ajnr.a7612] [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: 02/02/2022] [Accepted: 06/28/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE Brain AVMs represent the main etiology of pediatric intracranial hemorrhage. Noninvasive imaging techniques to monitor the treatment effect of brain AVMs remain an unmet need. In a large cohort of pediatric ruptured brain AVMs, we aimed to investigate the role of arterial spin-labeling for the longitudinal follow-up during treatment and after complete obliteration by analyzing CBF variations across treatment sessions. MATERIALS AND METHODS Consecutive patients with ruptured brain AVMs referred to a pediatric quaternary care center were prospectively included in a registry that was retrospectively queried for children treated between 2011 and 2019 with unimodal or multimodal treatment (surgery, radiosurgery, embolization). We included children who underwent an arterial spin-labeling sequence before and after treatment and a follow-up DSA. CBF variations were analyzed in univariable analyses. RESULTS Fifty-nine children with 105 distinct treatment sessions were included. The median CBF variation after treatment was -43 mL/100 mg/min (interquartile range, -102-5.5), significantly lower after complete nidal surgical resection. Following radiosurgery, patients who were healed on the last DSA follow-up demonstrated a greater CBF decrease on intercurrent MR imaging, compared with patients with a persisting shunt at last follow-up (mean, -62 [SD, 61] mL/100 mg/min versus -17 [SD, 40.1] mL/100 mg/min; P = .02). In children with obliterated AVMs, recurrences occurred in 12% and resulted in a constant increase in CBF (mean, +89 [SD, 77] mL/100 mg/min). CONCLUSIONS Our results contribute data on the role of noninvasive arterial spin-labeling monitoring of the response to treatment or follow-up after obliteration of pediatric AVMs. Future research may help to better delineate how arterial spin-labeling can assist in decisions regarding the optimal timing for DSA.
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Affiliation(s)
- J F Hak
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
- Department of Neuroradiology (J.F.H., G.B., B.K., O.N.), GHU Paris, Paris, France
- L'Institut National de la Santé et de la Recherche Médicale, University Hospital Group Paris, 1266, IMA-BRAIN (J.F.H., G.B., B.K., O.N.), Université de Paris, Paris, France
| | - G Boulouis
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
- Department of Neuroradiology (J.F.H., G.B., B.K., O.N.), GHU Paris, Paris, France
- L'Institut National de la Santé et de la Recherche Médicale, University Hospital Group Paris, 1266, IMA-BRAIN (J.F.H., G.B., B.K., O.N.), Université de Paris, Paris, France
| | - B Kerleroux
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
- Department of Neuroradiology (J.F.H., G.B., B.K., O.N.), GHU Paris, Paris, France
- L'Institut National de la Santé et de la Recherche Médicale, University Hospital Group Paris, 1266, IMA-BRAIN (J.F.H., G.B., B.K., O.N.), Université de Paris, Paris, France
| | - S Benichi
- Department of Pediatric Neurosurgery (S.B., S.S., T.B.), Institut Imagine, L'Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche 1163, Assistance Publique-Hôpitaux de Paris, Necker Hospital-Sick Children, Paris, France
| | - S Stricker
- Department of Pediatric Neurosurgery (S.B., S.S., T.B.), Institut Imagine, L'Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche 1163, Assistance Publique-Hôpitaux de Paris, Necker Hospital-Sick Children, Paris, France
| | - F Gariel
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
- Department of Neuroradiology (F.G.), University Hospital of Bordeaux, Bordeaux, France
| | - L Garzelli
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
| | - P Meyer
- Pediatric Neurointensive Care Unit (P.M.)
| | - M Kossorotoff
- Department of Pediatric Neurology (M.K.), Assistance Publique-Hôpitaux de Paris, Hôpital Universitaire, Necker Hospital-Sick Children, Paris, France
- INSERM U894, French Center for Pediatric Stroke (M.K., T.B., O.N.), L'Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - N Boddaert
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
- Université de Paris (N.B., V.D.R.), L'Institut National de la Santé et de la Recherche Médicale, ERL, Paris, France
- Institut Imagine (N.B., V.D.R.),Université de Paris,Unité Mixte de Recherche 1163, Paris, France
| | - N Girard
- Departments of Neuroradiology (N.G.)
| | - V Vidal
- Radiology (V.V.), University Hospital La Timone Hospital, Assistance Publique-Hôpitaux de Marseille, Marseille, France
| | - V Dangouloff Ros
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
- Université de Paris (N.B., V.D.R.), L'Institut National de la Santé et de la Recherche Médicale, ERL, Paris, France
- Institut Imagine (N.B., V.D.R.),Université de Paris,Unité Mixte de Recherche 1163, Paris, France
| | - T Blauwblomme
- Department of Pediatric Neurosurgery (S.B., S.S., T.B.), Institut Imagine, L'Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche 1163, Assistance Publique-Hôpitaux de Paris, Necker Hospital-Sick Children, Paris, France
- INSERM U894, French Center for Pediatric Stroke (M.K., T.B., O.N.), L'Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - O Naggara
- From the Department of Pediatric Radiology (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., O.N.)
- Department of Neuroradiology (J.F.H., G.B., B.K., O.N.), GHU Paris, Paris, France
- L'Institut National de la Santé et de la Recherche Médicale, University Hospital Group Paris, 1266, IMA-BRAIN (J.F.H., G.B., B.K., O.N.), Université de Paris, Paris, France
- INSERM U894, French Center for Pediatric Stroke (M.K., T.B., O.N.), L'Institut National de la Santé et de la Recherche Médicale, Paris, France
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11
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Wang Y, Guilliams KP, Fields ME, Fellah S, Binkley MM, Reis M, Vo KD, Chen Y, Ying C, Blinder M, King AA, Hulbert ML, An H, Lee JM, Ford AL. Silent Infarcts, White Matter Integrity, and Oxygen Metabolic Stress in Young Adults With and Without Sickle Cell Trait. Stroke 2022; 53:2887-2895. [PMID: 35545940 PMCID: PMC9398918 DOI: 10.1161/strokeaha.121.036567] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Individuals with sickle cell anemia have heightened risk of stroke and cognitive dysfunction. Given its high prevalence globally, whether sickle cell trait (SCT) is a risk factor for neurological injury has been of interest; however, data have been limited. We hypothesized that young, healthy adults with SCT would show normal cerebrovascular structure and hemodynamic function. METHODS As a case-control study, young adults with (N=25, cases) and without SCT (N=24, controls) underwent brain magnetic resonance imaging to quantify brain volume, microstructural integrity (fractional anisotropy), silent cerebral infarcts (SCI), intracranial stenosis, and aneurysms. Pseudocontinuous arterial spin labeling and asymmetric spin echo sequences measured cerebral blood flow and oxygen extraction fraction, respectively, from which cerebral metabolic oxygen demand was calculated. Imaging metrics were compared between SCT cases and controls. SCI volume was correlated with baseline characteristics. RESULTS Compared with controls, adults with SCT demonstrated similar normalized brain volumes (SCT 0.80 versus control 0.81, P=0.41), white matter fractional anisotropy (SCT 0.41 versus control 0.43, P=0.37), cerebral blood flow (SCT 62.04 versus control, 61.16 mL/min/100 g, P=0.67), oxygen extraction fraction (SCT 0.27 versus control 0.27, P=0.31), and cerebral metabolic oxygen demand (SCT 2.71 versus control 2.70 mL/min/100 g, P=0.96). One per cohort had an intracranial aneurysm. None had intracranial stenosis. The SCT cases and controls showed similar prevalence and volume of SCIs; however, in the subset of participants with SCIs, the SCT cases had greater SCI volume versus controls (0.29 versus 0.07 mL, P=0.008). Of baseline characteristics, creatinine was mildly elevated in the SCT cohort (0.9 versus 0.8 mg/dL, P=0.053) and correlated with SCI volume (ρ=0.49, P=0.032). In the SCT cohort, SCI distribution was similar to that of young adults with sickle cell anemia. CONCLUSIONS Adults with SCT showed normal cerebrovascular structure and hemodynamic function. These findings suggest that healthy individuals with SCT are unlikely to be at increased risk for early or accelerated ischemic brain injury.
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Affiliation(s)
- Yan Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Kristin P Guilliams
- Division of Pediatric Neurology, Washington University School of Medicine, St. Louis, MO
| | - Melanie E Fields
- Division of Pediatric Hematology/Oncology, Washington University School of Medicine, St. Louis, MO
| | - Slim Fellah
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Martin Reis
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Katie D. Vo
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Chunwei Ying
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Morey Blinder
- Program in Occupational Therapy and Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine and St. Louis Children’s Hospital, St. Louis, MO
| | - Allison A. King
- Department of Medicine, Division of hematology/oncology, Washington University School of Medicine, St. Louis, MO
| | - Monica L. Hulbert
- Division of Pediatric Hematology/Oncology, Washington University School of Medicine, St. Louis, MO
| | - Hongyu An
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Andria L. Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
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12
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Developmental coupling of cerebral blood flow and fMRI fluctuations in youth. Cell Rep 2022; 38:110576. [PMID: 35354053 PMCID: PMC9006592 DOI: 10.1016/j.celrep.2022.110576] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 02/03/2022] [Accepted: 03/04/2022] [Indexed: 12/16/2022] Open
Abstract
The functions of the human brain are metabolically expensive and reliant on coupling between cerebral blood flow (CBF) and neural activity, yet how this coupling evolves over development remains unexplored. Here, we examine the relationship between CBF, measured by arterial spin labeling, and the amplitude of low-frequency fluctuations (ALFF) from resting-state magnetic resonance imaging across a sample of 831 children (478 females, aged 8-22 years) from the Philadelphia Neurodevelopmental Cohort. We first use locally weighted regressions on the cortical surface to quantify CBF-ALFF coupling. We relate coupling to age, sex, and executive functioning with generalized additive models and assess network enrichment via spin testing. We demonstrate regionally specific changes in coupling over age and show that variations in coupling are related to biological sex and executive function. Our results highlight the importance of CBF-ALFF coupling throughout development; we discuss its potential as a future target for the study of neuropsychiatric diseases.
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13
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Nakamura Y, Uematsu A, Okanoya K, Koike S. The effect of acquisition duration on cerebral blood flow-based resting-state functional connectivity. Hum Brain Mapp 2022; 43:3184-3194. [PMID: 35338768 PMCID: PMC9189081 DOI: 10.1002/hbm.25843] [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: 07/22/2021] [Revised: 02/24/2022] [Accepted: 03/10/2022] [Indexed: 11/10/2022] Open
Abstract
Resting-state functional connectivity (rs-FC) is widely used to examine the functional architecture of the brain, and the blood-oxygenation-level-dependent (BOLD) signal is often utilized for determining rs-FC. However, the BOLD signal is susceptible to various factors that have less influence on the cerebral blood flow (CBF). Therefore, CBF could comprise an alternative for determining rs-FC. Since acquisition duration is one of the essential parameters for obtaining reliable rs-FC, we investigated the effect of acquisition duration on CBF-based rs-FC to examine the reliability of CBF-based rs-FC. Nineteen participants underwent CBF scanning for a total duration of 50 min. Variance of CBF-based rs-FC within the whole brain and 13 large-scale brain networks at various acquisition durations was compared to that with a 50-min duration using the Levene's test. Variance of CBF-based rs-FC at any durations did not differ from that at a 50-min duration (p > .05). Regarding variance of rs-FC within each large-scale brain network, the acquisition duration required to obtain reliable estimates of CBF-based rs-FC was shorter than 10 min and varied across large-scale brain networks. Altogether, an acquisition duration of at least 10 min is required to obtain reliable CBF-based rs-FC. These results indicate that CBF-based resting-state functional magnetic resonance imaging (rs-fMRI) with more than 10 min of total acquisition duration could be an alternative method to BOLD-based rs-fMRI to obtain reliable rs-FC.
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Affiliation(s)
- Yuko Nakamura
- The UTokyo Center for Integrative Science of Human Behavior (CiSHuB), The University of Tokyo, 3-8-1, Komaba, Meguro-ku, Tokyo, Japan
| | - Akiko Uematsu
- Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan
| | - Kazuo Okanoya
- The UTokyo Center for Integrative Science of Human Behavior (CiSHuB), The University of Tokyo, 3-8-1, Komaba, Meguro-ku, Tokyo, Japan.,University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, Japan.,International Research Center for Neurointelligence (IRCN), Tokyo, Japan.,Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.,Cognition and Behavior Joint Research Laboratory, RIKEN Center for Brain Science, Saitama, Japan
| | - Shinsuke Koike
- The UTokyo Center for Integrative Science of Human Behavior (CiSHuB), The University of Tokyo, 3-8-1, Komaba, Meguro-ku, Tokyo, Japan.,University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, Japan.,International Research Center for Neurointelligence (IRCN), Tokyo, Japan
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14
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Kitajima M, Uetani H. Arterial Spin Labeling for Pediatric Central Nervous System Diseases: Techniques and Clinical Applications. Magn Reson Med Sci 2022; 22:27-43. [PMID: 35321984 PMCID: PMC9849418 DOI: 10.2463/mrms.rev.2021-0118] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Dynamic susceptibility contrast (DSC) and arterial spin labeling (ASL) are techniques used to evaluate brain perfusion using MRI. DSC requires dynamic image acquisition with a rapid administration of gadolinium-based contrast agent. In contrast, ASL obtains brain perfusion information using magnetically labeled blood water as an endogenous tracer. For the evaluation of brain perfusion in pediatric neurological diseases, ASL has a significant advantage compared to DSC, CT, and single-photon emission CT/positron emission tomography because of the lack of radiation exposure and contrast agent administration. However, in ASL, optimization of several parameters, including the type of labeling, image acquisition, background suppression, and postlabeling delay, is required, because they have a significant effect on the quantification of cerebral blood flow (CBF).In this article, we first review recent technical developments of ASL and age-dependent physiological characteristics in pediatric brain perfusion. We then review the clinical implementation of ASL in pediatric neurological diseases, including vascular diseases, brain tumors, acute encephalopathy with biphasic seizure and late reduced diffusion (AESD), and migraine. In moyamoya disease, ASL can be used for brain perfusion and vessel assessment in pre- and post-treatment. In arteriovenous malformations, ASL is sensitive to detect small degrees of shunt. Furthermore, in vascular diseases, the implementation of ASL-based time-resolved MR angiography is described. In neoplasms, ASL-derived CBF has a high diagnostic accuracy for differentiation between low- and high-grade pediatric brain tumors. In AESD and migraine, ASL may allow for accurate early diagnosis and provide pathophysiological information.
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Affiliation(s)
- Mika Kitajima
- Department of Medical Imaging Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, Japan,Corresponding author: 4-24-1, Kuhonji, Chuo-ku, Kumamoto, Kumamoto 862-0976, Japan. Phone: +81-373-5483, Fax: +81-373-5519, E-mail:
| | - Hiroyuki Uetani
- Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, Japan
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15
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Zhou D, Lynn CW, Cui Z, Ciric R, Baum GL, Moore TM, Roalf DR, Detre JA, Gur RC, Gur RE, Satterthwaite TD, Bassett DS. Efficient coding in the economics of human brain connectomics. Netw Neurosci 2022; 6:234-274. [PMID: 36605887 PMCID: PMC9810280 DOI: 10.1162/netn_a_00223] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 12/08/2021] [Indexed: 01/07/2023] Open
Abstract
In systems neuroscience, most models posit that brain regions communicate information under constraints of efficiency. Yet, evidence for efficient communication in structural brain networks characterized by hierarchical organization and highly connected hubs remains sparse. The principle of efficient coding proposes that the brain transmits maximal information in a metabolically economical or compressed form to improve future behavior. To determine how structural connectivity supports efficient coding, we develop a theory specifying minimum rates of message transmission between brain regions to achieve an expected fidelity, and we test five predictions from the theory based on random walk communication dynamics. In doing so, we introduce the metric of compression efficiency, which quantifies the trade-off between lossy compression and transmission fidelity in structural networks. In a large sample of youth (n = 1,042; age 8-23 years), we analyze structural networks derived from diffusion-weighted imaging and metabolic expenditure operationalized using cerebral blood flow. We show that structural networks strike compression efficiency trade-offs consistent with theoretical predictions. We find that compression efficiency prioritizes fidelity with development, heightens when metabolic resources and myelination guide communication, explains advantages of hierarchical organization, links higher input fidelity to disproportionate areal expansion, and shows that hubs integrate information by lossy compression. Lastly, compression efficiency is predictive of behavior-beyond the conventional network efficiency metric-for cognitive domains including executive function, memory, complex reasoning, and social cognition. Our findings elucidate how macroscale connectivity supports efficient coding and serve to foreground communication processes that utilize random walk dynamics constrained by network connectivity.
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Affiliation(s)
- Dale Zhou
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher W. Lynn
- Initiative for the Theoretical Sciences, Graduate Center, City University of New York, New York, NY, USA,Joseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA
| | - Zaixu Cui
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rastko Ciric
- Department of Bioengineering, Schools of Engineering and Medicine, Stanford University, Stanford, CA, USA
| | - Graham L. Baum
- Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Tyler M. Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, Philadelphia, PA, USA
| | - David R. Roalf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John A. Detre
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, Philadelphia, PA, USA
| | - Raquel E. Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, Philadelphia, PA, USA
| | - Theodore D. Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, Philadelphia, PA, USA
| | - Dani S. Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA,Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA,Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA,Santa Fe Institute, Santa Fe, NM, USA,* Corresponding Author:
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16
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Wang DJJ, Le Bihan D, Krishnamurthy R, Smith M, Ho ML. Noncontrast Pediatric Brain Perfusion: Arterial Spin Labeling and Intravoxel Incoherent Motion. Magn Reson Imaging Clin N Am 2021; 29:493-513. [PMID: 34717841 DOI: 10.1016/j.mric.2021.06.002] [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: 12/23/2022]
Abstract
Noncontrast magnetic resonance imaging techniques for measuring brain perfusion include arterial spin labeling (ASL) and intravoxel incoherent motion (IVIM). These techniques provide noninvasive and repeatable assessment of cerebral blood flow or cerebral blood volume without the need for intravenous contrast. This article discusses the technical aspects of ASL and IVIM with a focus on normal physiologic variations, technical parameters, and artifacts. Multiple pediatric clinical applications are presented, including tumors, stroke, vasculopathy, vascular malformations, epilepsy, migraine, trauma, and inflammation.
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Affiliation(s)
- Danny J J Wang
- USC Institute for Neuroimaging and Informatics, SHN, 2025 Zonal Avenue, Health Sciences Campus, Los Angeles, CA 90033, USA
| | - Denis Le Bihan
- NeuroSpin, Centre d'études de Saclay, Bâtiment 145, Gif-sur-Yvette 91191, France
| | - Ram Krishnamurthy
- Department of Radiology, Nationwide Children's Hospital, 700 Children's Drive - ED4, Columbus, OH 43205, USA
| | - Mark Smith
- Department of Radiology, Nationwide Children's Hospital, 700 Children's Drive - ED4, Columbus, OH 43205, USA
| | - Mai-Lan Ho
- Department of Radiology, Nationwide Children's Hospital, 700 Children's Drive - ED4, Columbus, OH 43205, USA.
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17
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Impact of the inversion time on regional brain perfusion estimation with clinical arterial spin labeling protocols. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2021; 35:349-363. [PMID: 34643853 PMCID: PMC9188620 DOI: 10.1007/s10334-021-00964-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 09/23/2021] [Accepted: 10/01/2021] [Indexed: 11/19/2022]
Abstract
Objective Evaluating the impact of the Inversion Time (TI) on regional perfusion estimation in a pediatric cohort using Arterial Spin Labeling (ASL). Materials and methods Pulsed ASL (PASL) was acquired at 3 T both at TI 1500 ms and 2020 ms from twelve MRI-negative patients (age range 9–17 years). A volume of interest (VOIs) and a voxel-wise approach were employed to evaluate subject-specific TI-dependent Cerebral Blood Flow (CBF) differences, and grey matter CBF Z-score differences. A visual evaluation was also performed. Results CBF was higher for TI 1500 ms in the proximal territories of the arteries (PTAs) (e.g. insular cortex and basal ganglia — P < 0.01 and P < 0.05 from the VOI analysis, respectively), and for TI 2020 ms in the distal territories of the arteries (DTAs), including the watershed areas (e.g. posterior parietal and occipital cortex — P < 0.001 and P < 0.01 from the VOI analysis, respectively). Similar differences were also evident when analyzing patient-specific CBF Z-scores and at a visual inspection. Conclusions TI influences ASL perfusion estimates with a region-dependent effect. The presence of intraluminal arterial signal in PTAs and the longer arterial transit time in the DTAs (including watershed areas) may account for the TI-dependent differences. Watershed areas exhibiting a lower perfusion signal at short TIs (~ 1500 ms) should not be misinterpreted as focal hypoperfused areas. Supplementary Information The online version contains supplementary material available at 10.1007/s10334-021-00964-7.
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18
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Hak JF, Boulouis G, Kerleroux B, Benichi S, Stricker S, Gariel F, Garzelli L, Meyer P, Kossorotoff M, Boddaert N, Vidal V, Girard N, Dangouloff Ros V, Brunelle F, Blauwblomme T, Naggara O. Arterial Spin Labeling for the Etiological Workup of Intracerebral Hemorrhage in Children. Stroke 2021; 53:185-193. [PMID: 34517772 DOI: 10.1161/strokeaha.120.032690] [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] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND PURPOSE Pediatric nontraumatic intracerebral hemorrhage accounts for half of stroke in children. Early diagnostic of the causative underlying lesion is the first step toward prevention of hemorrhagic recurrence. We aimed to investigate the performance of arterial spin labeling sequence (ASL) in the acute phase etiological workup for the detection of an arteriovenous shunt (AVS: including malformation and fistula), the most frequent cause of pediatric nontraumatic intracerebral hemorrhage. METHODS Children with a pediatric nontraumatic intracerebral hemorrhage between 2011 and 2019 enrolled in a prospective registry were retrospectively included if they had undergone ASL-magnetic resonance imaging before any etiological treatment. ASL sequences were reviewed using cerebral blood flow maps by 2 raters for the presence of an AVS. The diagnostic performance of ASL was compared with admission computed tomography angiography, other magnetic resonance imaging sequences including contrast-enhanced sequences and subsequent digital subtraction angiography. RESULTS A total of 121 patients with pediatric nontraumatic intracerebral hemorrhage were included (median age, 9.9 [interquartile range, 5.8-13]; male sex 48.8%) of whom 76 (63%) had a final diagnosis of AVS. Using digital subtraction angiography as an intermediate reference, visual ASL inspection had a sensitivity and a specificity of, respectively, 95.9% (95% CI, 88.5%-99.1%) and 79.0% (95% CI, 54.4%-94.0%). ASL had a sensitivity, specificity, and accuracy of 90.2%, 97.2%, and 92.5%, respectively for the detection of the presence of an AVS, with near perfect interrater agreement (κ=0.963 [95% CI, 0.912-1.0]). The performance of ASL alone was higher than that of other magnetic resonance imaging sequences, individually or combined, and higher than that of computed tomography angiography. CONCLUSIONS ASL has strong diagnostic performance for the detection of AVS in the initial workup of intracerebral hemorrhage in children. If our findings are confirmed in other settings, ASL may be a helpful diagnostic imaging modality for patients with pediatric nontraumatic intracerebral hemorrhage. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifiers: 3618210420, 2217698.
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Affiliation(s)
- Jean François Hak
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France.,Université de Paris, INSERM UMR 1266 IMA-BRAIN, Department of Interventional Neuroradiology, GHU Paris, France (J.F.H., G.B., B.K., O.N.)
| | - Grégoire Boulouis
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France.,Université de Paris, INSERM UMR 1266 IMA-BRAIN, Department of Interventional Neuroradiology, GHU Paris, France (J.F.H., G.B., B.K., O.N.)
| | - Basile Kerleroux
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France.,Université de Paris, INSERM UMR 1266 IMA-BRAIN, Department of Interventional Neuroradiology, GHU Paris, France (J.F.H., G.B., B.K., O.N.)
| | - Sandro Benichi
- The Department of Pediatric Neurosurgery, Institut Imagine, INSERM UMR 1163 (S.B., S.S., T.B.), University hospital Necker-Enfants-malades, Paris, France
| | - Sarah Stricker
- The Department of Pediatric Neurosurgery, Institut Imagine, INSERM UMR 1163 (S.B., S.S., T.B.), University hospital Necker-Enfants-malades, Paris, France
| | - Florent Gariel
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France.,Department of Neuroradiology, University Hospital of Bordeaux, France (F.G.)
| | - Lorenzo Garzelli
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France
| | - Philippe Meyer
- Pediatric Neuro ICU (P.M.), University hospital Necker-Enfants-malades, Paris, France
| | - Manoelle Kossorotoff
- French Center for Pediatric Stroke, INSERM U894 (M.K., T.B., O.N.), University hospital Necker-Enfants-malades, Paris, France.,Department of Pediatric Neurology (M.K.), AP-HP, University hospital Necker-Enfants-malades, Paris, France
| | - Nathalie Boddaert
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France
| | - Vincent Vidal
- Department of Radiology (V.V.), University Hospital La Timone Hospital, AP-HM, Marseille, France
| | - Nadine Girard
- the Department of Neuroradiology (N.G.), University Hospital La Timone Hospital, AP-HM, Marseille, France
| | - Volodia Dangouloff Ros
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France
| | - Francis Brunelle
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France
| | - Thomas Blauwblomme
- The Department of Pediatric Neurosurgery, Institut Imagine, INSERM UMR 1163 (S.B., S.S., T.B.), University hospital Necker-Enfants-malades, Paris, France.,French Center for Pediatric Stroke, INSERM U894 (M.K., T.B., O.N.), University hospital Necker-Enfants-malades, Paris, France
| | - Olivier Naggara
- Department of Pediatric Radiology UMR 1163, Institut Imagine, INSERM U1000, (J.F.H., G.B., B.K., F.G., L.G., N.B., V.D.R., F.B., O.N.), University hospital Necker-Enfants-malades, Paris, France.,French Center for Pediatric Stroke, INSERM U894 (M.K., T.B., O.N.), University hospital Necker-Enfants-malades, Paris, France.,Université de Paris, INSERM UMR 1266 IMA-BRAIN, Department of Interventional Neuroradiology, GHU Paris, France (J.F.H., G.B., B.K., O.N.)
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Baranger J, Villemain O, Wagner M, Vargas-Gutierrez M, Seed M, Baud O, Ertl-Wagner B, Aguet J. Brain perfusion imaging in neonates. NEUROIMAGE-CLINICAL 2021; 31:102756. [PMID: 34298475 PMCID: PMC8319803 DOI: 10.1016/j.nicl.2021.102756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 06/21/2021] [Accepted: 07/03/2021] [Indexed: 02/07/2023]
Abstract
MRI is the modality of choice to image and quantify cerebral perfusion. Imaging of neonatal brain perfusion is possible using MRI and ultrasound. Novel ultrafast ultrasound imaging allows for excellent spatiotemporal resolution. Understanding cerebral hemodynamic changes of neonatal adaptation is key.
Abnormal variations of the neonatal brain perfusion can result in long-term neurodevelopmental consequences and cerebral perfusion imaging can play an important role in diagnostic and therapeutic decision-making. To identify at-risk situations, perfusion imaging of the neonatal brain must accurately evaluate both regional and global perfusion. To date, neonatal cerebral perfusion assessment remains challenging. The available modalities such as magnetic resonance imaging (MRI), ultrasound imaging, computed tomography (CT), near-infrared spectroscopy or nuclear imaging have multiple compromises and limitations. Several promising methods are being developed to achieve better diagnostic accuracy and higher robustness, in particular using advanced MRI and ultrasound techniques. The objective of this state-of-the-art review is to analyze the methodology and challenges of neonatal brain perfusion imaging, to describe the currently available modalities, and to outline future perspectives.
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Affiliation(s)
- Jérôme Baranger
- Department of Pediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Ontario, Canada; Translation Medicine Department, SickKids Research Institute, Toronto, Ontario, Canada
| | - Olivier Villemain
- Department of Pediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Ontario, Canada; Translation Medicine Department, SickKids Research Institute, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Matthias Wagner
- Department of Diagnostic Imaging, Division of Neuroradiology, The Hospital for Sick Children, Toronto, Canada
| | | | - Mike Seed
- Department of Pediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, Ontario, Canada; Translation Medicine Department, SickKids Research Institute, Toronto, Ontario, Canada; Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada
| | - Olivier Baud
- Division of Neonatology and Pediatric Intensive Care, Children's University Hospital of Geneva and University of Geneva, Geneva, Switzerland
| | - Birgit Ertl-Wagner
- Department of Diagnostic Imaging, Division of Neuroradiology, The Hospital for Sick Children, Toronto, Canada
| | - Julien Aguet
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada.
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20
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Wang Y, Fellah S, Fields ME, Guilliams KP, Binkley MM, Eldeniz C, Shimony JS, Reis M, Vo KD, Chen Y, Lee JM, An H, Ford AL. Cerebral Oxygen Metabolic Stress, Microstructural Injury, and Infarction in Adults With Sickle Cell Disease. Neurology 2021; 97:e902-e912. [PMID: 34172536 PMCID: PMC8408504 DOI: 10.1212/wnl.0000000000012404] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/26/2021] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE To determine the patient- and tissue-based relationships between cerebral hemodynamic and oxygen metabolic stress, microstructural injury, and infarct location in adults with sickle cell disease (SCD). METHODS Control and SCD participants underwent brain MRI to quantify cerebral blood flow (CBF), oxygen extraction fraction (OEF), mean diffusivity (MD), and fractional anisotropy (FA) within normal-appearing white matter (NAWM), and infarcts on FLAIR. Multivariable linear regression examined the patient- and voxel-based associations between hemodynamic and metabolic stress (defined as elevated CBF and OEF, respectively), white matter microstructure, and infarct location. RESULTS Of 83 control and SCD participants, adults with SCD demonstrated increased CBF (50.9 vs 38.8 mL/min/100g, p<0.001), increased OEF (0.35 vs 0.25, p<0.001), increased MD (0.76 vs 0.72 x 10-3mm2 s-1, p=0.005), and decreased FA (0.40 vs 0.42, p=0.021) within NAWM compared to controls. In multivariable analysis, increased OEF (β=0.19, p=0.035), but not CBF (β=0.00, p=0.340), independently predicted increased MD in the SCD cohort, while neither were predictors in controls. On voxel-wise regression, the SCD cohort demonstrated widespread OEF elevation, encompassing deep white matter regions of elevated MD and reduced FA, which spatially extended beyond high density infarct locations from the SCD cohort. CONCLUSION Elevated OEF, a putative index of cerebral oxygen metabolic stress, may provide a metric of ischemic vulnerability which could enable individualization of therapeutic strategies in SCD. The patient- and tissue-based relationships between elevated OEF, elevated MD, and cerebral infarcts suggest that oxygen metabolic stress may underlie microstructural injury prior to the development of cerebral infarcts in SCD.
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Affiliation(s)
- Yan Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Slim Fellah
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Melanie E Fields
- Division of Pediatric Hematology/Oncology, Washington University School of Medicine, St. Louis, MO
| | - Kristin P Guilliams
- Division of Pediatric Neurology, Washington University School of Medicine, St. Louis, MO
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Martin Reis
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Katie D Vo
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Yasheng Chen
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Hongyu An
- Department of Neurology, Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Andria L Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; .,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
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21
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Bambach S, Smith M, Morris PP, Campeau NG, Ho ML. Arterial Spin Labeling Applications in Pediatric and Adult Neurologic Disorders. J Magn Reson Imaging 2020; 55:698-719. [PMID: 33314349 DOI: 10.1002/jmri.27438] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 10/26/2020] [Accepted: 10/27/2020] [Indexed: 12/17/2022] Open
Abstract
Arterial spin labeling (ASL) is a powerful noncontrast magnetic resonance imaging (MRI) technique that enables quantitative evaluation of brain perfusion. To optimize the clinical and research utilization of ASL, radiologists and physicists must understand the technical considerations and age-related variations in normal and disease states. We discuss advanced applications of ASL across the lifespan, with example cases from children and adults covering a wide variety of pathologies. Through literature review and illustrated clinical cases, we highlight the subtleties as well as pitfalls of ASL interpretation. First, we review basic physical principles, techniques, and artifacts. This is followed by a discussion of normal perfusion variants based on age and physiology. The three major categories of perfusion abnormalities-hypoperfusion, hyperperfusion, and mixed patterns-are covered with an emphasis on clinical interpretation and relationship to the disease process. Major etiologies of hypoperfusion include large artery, small artery, and venous disease; other vascular conditions; global hypoxic-ischemic injury; and neurodegeneration. Hyperperfusion is characteristic of vascular malformations and tumors. Mixed perfusion patterns can be seen with epilepsy, migraine, trauma, infection/inflammation, and toxic-metabolic encephalopathy. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Sven Bambach
- Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Mark Smith
- Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - P Pearse Morris
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Mai-Lan Ho
- Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio, USA
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22
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Gur RC, Butler ER, Moore TM, Rosen AFG, Ruparel K, Satterthwaite TD, Roalf DR, Gennatas ED, Bilker WB, Shinohara RT, Port A, Elliott MA, Verma R, Davatzikos C, Wolf DH, Detre JA, Gur RE. Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample. Cereb Cortex 2020; 31:1444-1463. [PMID: 33119049 DOI: 10.1093/cercor/bhaa282] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 07/16/2020] [Accepted: 08/24/2020] [Indexed: 02/06/2023] Open
Abstract
The parieto-frontal integration theory (PFIT) identified a fronto-parietal network of regions where individual differences in brain parameters most strongly relate to cognitive performance. PFIT was supported and extended in adult samples, but not in youths or within single-scanner well-powered multimodal studies. We performed multimodal neuroimaging in 1601 youths age 8-22 on the same 3-Tesla scanner with contemporaneous neurocognitive assessment, measuring volume, gray matter density (GMD), mean diffusivity (MD), cerebral blood flow (CBF), resting-state functional magnetic resonance imaging measures of the amplitude of low frequency fluctuations (ALFFs) and regional homogeneity (ReHo), and activation to a working memory and a social cognition task. Across age and sex groups, better performance was associated with higher volumes, greater GMD, lower MD, lower CBF, higher ALFF and ReHo, and greater activation for the working memory task in PFIT regions. However, additional cortical, striatal, limbic, and cerebellar regions showed comparable effects, hence PFIT needs expansion into an extended PFIT (ExtPFIT) network incorporating nodes that support motivation and affect. Associations of brain parameters became stronger with advancing age group from childhood to adolescence to young adulthood, effects occurring earlier in females. This ExtPFIT network is developmentally fine-tuned, optimizing abundance and integrity of neural tissue while maintaining a low resting energy state.
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Affiliation(s)
- Ruben C Gur
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.,Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.,Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Ellyn R Butler
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Tyler M Moore
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Adon F G Rosen
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Theodore D Satterthwaite
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - David R Roalf
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Efstathios D Gennatas
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Warren B Bilker
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.,Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Allison Port
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Mark A Elliott
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.,Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Ragini Verma
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Daniel H Wolf
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Brain Behavior Laboratory and the Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.,Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.,Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
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23
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Schidlowski M, Stirnberg R, Stöcker T, Rüber T. Reliability of quantitative transverse relaxation time mapping with [Formula: see text]-prepared whole brain pCASL. Sci Rep 2020; 10:18299. [PMID: 33110203 PMCID: PMC7592060 DOI: 10.1038/s41598-020-74680-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 09/29/2020] [Indexed: 01/21/2023] Open
Abstract
Arterial spin labeling (ASL) is increasingly applied for cerebral blood flow mapping, but [Formula: see text] relaxation of the ASL signal magnetization is often ignored, although it may be clinically relevant. To investigate the extent, to which quantitative [Formula: see text] values in gray matter (GM) obtained by pseudocontinuous ASL (pCASL) perfusion MRI can be reproduced, are reliable and a potential neuroscientific biomarker, a prospective study was performed with ten healthy volunteers (5F,28 ± 3y) at a 3 T scanner. A [Formula: see text]-prepared pCASL sequence enabled the measurement of quantitative [Formula: see text] and perfusion maps. [Formula: see text] times were modeled per voxel and analyzed within four GM-regions-of-interest (ROI). The intraclass correlation coefficients (ICCs) of the quantified ASL-[Formula: see text] varied across brain regions. When averaged across subjects and postlabeling delays (PLDs), the ICCs ranged from reasonable values in parietal regions (ICC = 0.56) to smaller values in frontal regions (ICC = 0.36). Corresponding subject-averaged within-subject coefficients of variation (WSCVs) showed good test-retest measurement precision ([Formula: see text] for all PLDs), but more pronounced inter-subject variance. Reliability and precision of quantified ASL-[Formula: see text] were region-, PLD- and subject-specific, showing fair to robust results in occipital, parietal and temporal ROIs. The results give rise to consider the method for future cerebral studies, where variable perfusion or altered [Formula: see text] times are suspected.
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Affiliation(s)
- Martin Schidlowski
- Department of Epileptology, University of Bonn Medical Center, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | | | - Tony Stöcker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department for Physics and Astronomy, University of Bonn, Bonn, Germany
| | - Theodor Rüber
- Department of Epileptology, University of Bonn Medical Center, Bonn, Germany
- Department of Neurology, Epilepsy Center Frankfurt Rhine-Main, Goethe University Frankfurt, Frankfurt/Main, Germany
- Center for Personalized Translational Epilepsy Research (CePTER), Goethe University Frankfurt, Frankfurt/Main, Germany
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24
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Ji Y, Lu D, Jiang Y, Wang X, Meng Y, Sun PZ. Development of fast multi-slice apparent T 1 mapping for improved arterial spin labeling MRI measurement of cerebral blood flow. Magn Reson Med 2020; 85:1571-1580. [PMID: 32970848 DOI: 10.1002/mrm.28510] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/12/2020] [Accepted: 08/18/2020] [Indexed: 01/30/2023]
Abstract
PURPOSE To develop fast multi-slice apparent T1 (T1app ) mapping for accurate cerebral blood flow (CBF) quantification with arterial spin labeling (ASL) MRI. METHODS Fast multi-slice T1app was measured using a modified inversion recovery echo planar imaging (EPI) sequence with simultaneous application of ASL tagging radiofrequency (RF) and gradient pulses. The fast multi-slice T1app measurement was compared with the single-slice T1app imaging approach, repeated per slice. CBF was assessed in healthy adult Wistar rats (N = 5) and rats with acute stroke 24 hours after a transient middle cerebral artery occlusion (N = 5). RESULTS The fast multi-slice T1app measurement was in good agreement with that of a single-slice T1app imaging approach (Lin's concordance correlation coefficient = 0.92). CBF calculated using T1app reasonably accounted for the finite labeling RF duration, whereas the routine T1 -normalized ASL MRI underestimated the CBF, particularly at short labeling durations. In acute stroke rats, the labeling time and the CBF difference (ΔCBF) between the contralateral normal area and the ischemic lesion were significantly correlated when using T1 -normalized perfusion calculation (R = 0.844, P = .035). In comparison, T1app -normalized ΔCBF had little labeling time dependence based on the linear regression equation of ΔCBF = -0.0247*τ + 1.579 mL/g/min (R = -0.352, P = .494). CONCLUSIONS Our study found fast multi-slice T1app imaging improves the accuracy and reproducibility of CBF measurement.
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Affiliation(s)
- Yang Ji
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Dongshuang Lu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Yinghua Jiang
- Clinical Neuroscience Research Center, Department of Neurosurgery, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Xiaoying Wang
- Clinical Neuroscience Research Center, Department of Neurosurgery, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Yuguang Meng
- Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, USA
| | - Phillip Zhe Sun
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.,Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, USA.,Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
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25
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Ford AL, Chin VW, Fellah S, Binkley MM, Bodin AM, Balasetti V, Taiwo Y, Kang P, Lin D, Jen JC, Grand MG, Bogacki M, Liszewski MK, Hourcade D, Chen Y, Hassenstab J, Lee JM, An H, Miner JJ, Atkinson JP. Lesion evolution and neurodegeneration in RVCL-S: A monogenic microvasculopathy. Neurology 2020; 95:e1918-e1931. [PMID: 32887784 PMCID: PMC7682842 DOI: 10.1212/wnl.0000000000010659] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 04/10/2020] [Indexed: 12/17/2022] Open
Abstract
Objective To characterize lesion evolution and neurodegeneration in retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S) using multimodal MRI. Methods We prospectively performed MRI and cognitive testing in RVCL-S and healthy control cohorts. Gray and white matter volume and disruption of white matter microstructure were quantified. Asymmetric spin echo acquisition permitted voxel-wise oxygen extraction fraction (OEF) calculation as an in vivo marker of microvascular ischemia. The RVCL-S cohort was included in a longitudinal analysis of lesion subtypes in which hyperintense lesions on fluid-attenuated inversion recovery (FLAIR), T1-postgadolinium, and diffusion-weighted imaging were delineated and quantified volumetrically. Results Twenty individuals with RVCL-S and 26 controls were enrolled. White matter volume and microstructure declined faster in those with RVCL–S compared to controls. White matter atrophy in RVCL-S was highly linear (ρ = −0.908, p < 0.0001). Normalized OEF was elevated in RVCL-S and increased with disease duration. Multiple cognitive domains, specifically those measuring working memory and processing speed, were impaired in RVCL-S. Lesion volumes, regardless of subtype, progressed/regressed with high variability as a function of age, while FLAIR lesion burden increased near time to death (p < 0.001). Conclusion RVCL-S is a monogenic microvasculopathy affecting predominantly the white matter with regard to atrophy and cognitive impairment. White matter volumes in RVCL-S declined linearly, providing a potential metric against which to test the efficacy of future therapies. Progressive elevation of white matter OEF suggests that microvascular ischemia may underlie neurodegeneration in RVCL-S.
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Affiliation(s)
- Andria L Ford
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY.
| | - Victoria W Chin
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Slim Fellah
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Michael M Binkley
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Allie M Bodin
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Vamshi Balasetti
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yewande Taiwo
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Peter Kang
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Doris Lin
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Joanna C Jen
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - M Gilbert Grand
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Madonna Bogacki
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - M Kathryn Liszewski
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Dennis Hourcade
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yasheng Chen
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jason Hassenstab
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jin-Moo Lee
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Hongyu An
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jonathan J Miner
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - John P Atkinson
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
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26
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Cohen AD, Agarwal M, Jagra AS, Nencka AS, Meier TB, Lebel RM, McCrea MA, Wang Y. Longitudinal Reproducibility of MR Perfusion Using 3D Pseudocontinuous Arterial Spin Labeling With Hadamard-Encoded Multiple Postlabeling Delays. J Magn Reson Imaging 2020; 51:1846-1853. [PMID: 31785062 PMCID: PMC10063372 DOI: 10.1002/jmri.27007] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Arterial spin labeling (ASL) can be confounded by varying arterial transit times (ATT) across the brain and with disease. Hadamard encoding schemes can be applied to 3D pseudocontinuous ASL (pCASL) to acquire ASL data with multiple postlabeling delays (PLDs) to estimate ATT and then correct cerebral blood flow (CBF). PURPOSE To assess the longitudinal reproducibility of 3D pCASL with Hadamard-encoded multiple PLDs. STUDY TYPE Prospective, longitudinal. POPULATION Fifty-two healthy, right-handed male subjects who underwent imaging at four timepoints over 45 days. FIELD STRENGTH/SEQUENCE A Hadamard-encoded 3D pCASL sequence was acquired at 3.0T with seven PLDs from 1.0-3.7 sec. ASSESSMENT ATT and corrected CBF (cCBF) were computed. Conventional uncorrected CBF (unCBF) was also estimated. Within- and between-subject coefficient of variation (wCV and bCV, respectively) and intraclass correlation coefficient (ICC) were evaluated across four time intervals: 7, 14, 30, and 45 days, in gray matter and 17 independent regions of interest (ROIs). A power analysis was also conducted. STATISTICAL TESTS A repeated-measures analysis of variance (ANOVA) was used to compare ATT, cCBF, and unCBF across the four scan sessions. A paired two-sample t-test was used to compare cCBF and unCBF. Pearson's correlation was used to examine the relationship between the cCBF and unCBF difference and ATT. Power calculations were completed using both the cCBF and unCBF variances. RESULTS ATT showed the lowest wCV and bCV (3.3-4.4% and 6.0-6.3%, respectively) compared to both cCBF (10.5-11.7% and 20.6-22.2%, respectively) and unCBF (12.0-13.6% and 22.7-23.7%, respectively). wCV and bCV were lower for cCBF vs. unCBF. A significant difference between cCBF and unCBF was found in most regions (P = 5.5 × 10-5 -3.8 × 10-4 in gray matter) that was highly correlated with ATT (R2 = 0.79-0.86). A power analysis yielded acceptable power at feasible sample sizes using cCBF. DATA CONCLUSION ATT and ATT-corrected CBF were longitudinally stable, indicating that ATT and CBF changes can be reliably evaluated with Hadamard-encoded 3D pCASL with multiple PLDs. LEVEL OF EVIDENCE 1 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1846-1853.
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Affiliation(s)
- Alexander D Cohen
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Mohit Agarwal
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Amritpal S Jagra
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Andrew S Nencka
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | | | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Yang Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
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27
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Sahib AK, Loureiro JRA, Vasavada MM, Kubicki A, Joshi SH, Wang K, Woods RP, Congdon E, Wang DJJ, Boucher ML, Espinoza R, Narr KL. Single and repeated ketamine treatment induces perfusion changes in sensory and limbic networks in major depressive disorder. Eur Neuropsychopharmacol 2020; 33:89-100. [PMID: 32061453 PMCID: PMC8869841 DOI: 10.1016/j.euroneuro.2020.01.017] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/10/2020] [Accepted: 01/26/2020] [Indexed: 12/15/2022]
Abstract
Ketamine infusion therapy can produce fast-acting antidepressant effects in patients with major depressive disorder (MDD). Yet, how single and repeated ketamine treatment induces brain systems-level neuroplasticity underlying symptom improvement is unknown. Advanced multiband imaging (MB) pseudo-continuous arterial spin labeling (pCASL) perfusion MRI data was acquired from patients with treatment resistant depression (TRD) (N = 22, mean age=35.2 ± 9.95 SD, 27% female) at baseline, and 24 h after receiving single, and four subanesthetic (0.5 mg/kg) intravenous ketamine infusions. Changes in global and regional CBF were compared across time points, and relationships with overall mood, anhedonia and apathy were examined. Comparisons between patients at baseline and controls (N = 18, mean age=36.11 ± 14.5 SD, 57% female) established normalization of treatment effects. Results showed increased regional CBF in the cingulate and primary and higher-order visual association regions after first ketamine treatment. Baseline CBF in the fusiform, and acute changes in CBF in visual areas were related to symptom improvement after single and repeated ketamine treatment, respectively. In contrast, after serial infusion therapy, decreases in regional CBF were observed in the bilateral hippocampus and right insula with ketamine treatment. Findings demonstrate that neurophysiological changes occurring with single and repeated ketamine treatment follow both a regional and temporal pattern including sensory and limbic regions. Initial changes are observed in the posterior cingulate and precuneus and primary and higher-order visual areas, which relate to clinical responses. However, repeated exposure to ketamine, though not relating to clinical outcome, appears to engage deeper limbic structures and insula. ClinicalTrials.gov: Biomarkers of Fast Acting Therapies in Major Depression, https://clinicaltrials.gov/ct2/show/NCT02165449, NCT02165449.
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Affiliation(s)
- Ashish K Sahib
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Joana R A Loureiro
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Megha M Vasavada
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Antoni Kubicki
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Shantanu H Joshi
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Kai Wang
- Laboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
| | - Roger P Woods
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Eliza Congdon
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
| | - Michael L Boucher
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States
| | - Katherine L Narr
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States.
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28
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Krishnamurthy R, Wang DJJ, Cervantes B, McAllister A, Nelson E, Karampinos DC, Hu HH. Recent Advances in Pediatric Brain, Spine, and Neuromuscular Magnetic Resonance Imaging Techniques. Pediatr Neurol 2019; 96:7-23. [PMID: 31023603 DOI: 10.1016/j.pediatrneurol.2019.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 02/25/2019] [Accepted: 03/03/2019] [Indexed: 12/21/2022]
Abstract
Magnetic resonance imaging (MRI) is a powerful radiologic tool with the ability to generate a variety of proton-based signal contrast from tissues. Owing to this immense flexibility in signal generation, new MRI techniques are constantly being developed, tested, and optimized for clinical utility. In addition, the safe and nonionizing nature of MRI makes it a suitable modality for imaging in children. In this review article, we summarize a few of the most popular advances in MRI techniques in recent years. In particular, we highlight how these new developments have affected brain, spine, and neuromuscular imaging and focus on their applications in pediatric patients. In the first part of the review, we discuss new approaches such as multiphase and multidelay arterial spin labeling for quantitative perfusion and angiography of the brain, amide proton transfer MRI of the brain, MRI of brachial plexus and lumbar plexus nerves (i.e., neurography), and T2 mapping and fat characterization in neuromuscular diseases. In the second part of the review, we focus on describing new data acquisition strategies in accelerated MRI aimed collectively at reducing the scan time, including simultaneous multislice imaging, compressed sensing, synthetic MRI, and magnetic resonance fingerprinting. In discussing the aforementioned, the review also summarizes the advantages and disadvantages of each method and their current state of commercial availability from MRI vendors.
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Affiliation(s)
| | - Danny J J Wang
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Barbara Cervantes
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
| | | | - Eric Nelson
- Center for Biobehavioral Health, Nationwide Children's Hospital, Columbus, Ohio
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany
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29
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Wong AMC, Liu HL, Tsai ML, Schwartz ES, Yeh CH, Wang HS, Wu TW, Lin CY. Arterial spin-labeling magnetic resonance imaging of brain maturation in early childhood: Mathematical model fitting to assess age-dependent change of cerebral blood flow. Magn Reson Imaging 2019; 59:114-120. [PMID: 30905764 DOI: 10.1016/j.mri.2019.03.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 03/03/2019] [Accepted: 03/19/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE To determine the trajectory of age-dependent cerebral blood flow (CBF) change in infants and young children by fitting mathematical models to the imaging data. METHODS In this retrospective study, we reviewed the arterial spin-labeling imaging studies of 49 typically developing infants and young children at postmenstrual age (PMA) ranging from 38 to 194 weeks. All patients had normal structural MR imaging. Coregistration and gray matter segmentation were performed to extract whole-brain CBF values. Regional CBF values were obtained using manual region-of-interest placement. Curve estimation regression procedures with the corrected Akaike information criterion (AICc) were performed to determine the mathematical model best fitting the relationship between the CBF (whole-brain and regional measurements) and PMA of the patients. RESULTS Whole-brain CBF trajectory was best fitted by a cubic model (AICc = 215.95; R2 = 0.566; P < .001). Whole-brain CBF at 1, 6, 12, and 24 months was estimated to be 36, 52, 58, and 55 mL/100 g/min, respectively. Regional CBF trajectory was also best fitted by a cubic model in the frontal (AICc = 233.63; R2 = 0.442; P < .001), parietal (AICc = 229.18; R2 = 0.614; P < .001), basal ganglion (AICc = 239.39; R2 = 0.178; P = .043), temporal (AICc = 236.01; R2 = 0.441; P < .001), and occipital (AICc = 236.46; R2 = 0.475; P < .001) regions. CONCLUSIONS In early childhood, the trajectory of CBF change was nonlinear and best fitted by the cubic model for the whole brain and all brain regions.
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Affiliation(s)
- Alex Mun-Ching Wong
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung/Linkou, and Chang Gung University, Taiwan.
| | - Ho-Ling Liu
- Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Ming-Lun Tsai
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung/Linkou, and Chang Gung University, Taiwan
| | - Erin Simon Schwartz
- Department of Radiology, The Children's Hospital of Philadelphia, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, USA.
| | - Chih-Hua Yeh
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung/Linkou, and Chang Gung University, Taiwan
| | - Huei-Shyong Wang
- Division of Pediatric Neurology, Department of Pediatrics, Chang Gung Children's Hospital and Chang Gung University, Linkou, Taiwan.
| | - Tai-Wei Wu
- Feta and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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30
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Hydroxyurea reduces cerebral metabolic stress in patients with sickle cell anemia. Blood 2019; 133:2436-2444. [PMID: 30858231 DOI: 10.1182/blood-2018-09-876318] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 03/02/2019] [Indexed: 12/20/2022] Open
Abstract
Chronic transfusion therapy (CTT) prevents stroke in selected patients with sickle cell anemia (SCA). We have shown that CTT mitigates signatures of cerebral metabolic stress, reflected by elevated oxygen extraction fraction (OEF), which likely drives stroke risk reduction. The region of highest OEF falls within the border zone, where cerebral blood flow (CBF) nadirs; OEF in this region was reduced after CTT. The neuroprotective efficacy of hydroxyurea (HU) remains unclear. To test our hypothesis that patients receiving HU therapy have lower cerebral metabolic stress compared with patients not receiving disease-modifying therapy, we prospectively obtained brain magnetic resonance imaging scans with voxel-wise measurements of CBF and OEF in 84 participants with SCA who were grouped by therapy: no disease-modifying therapy, HU, or CTT. There was no difference in whole-brain CBF among the 3 cohorts (P = .148). However, whole-brain OEF was significantly different (P < .001): participants without disease-modifying therapy had the highest OEF (median 42.9% [interquartile range (IQR) 39.1%-49.1%]), followed by HU treatment (median 40.7% [IQR 34.9%-43.6%]), whereas CTT treatment had the lowest values (median 35.3% [IQR 32.2%-38.9%]). Moreover, the percentage of white matter at highest risk for ischemia, defined by OEF greater than 40% and 42.5%, was lower in the HU cohort compared with the untreated cohort (P = .025 and P = .034 respectively), but higher compared with the CTT cohort (P = .018 and P = .029 respectively). We conclude that HU may offer neuroprotection by mitigating cerebral metabolic stress in patients with SCA, but not to the same degree as CTT.
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31
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Vandekar SN, Shou H, Satterthwaite TD, Shinohara RT, Merikangas AK, Roalf DR, Ruparel K, Rosen A, Gennatas ED, Elliott MA, Davatzikos C, Gur RC, Gur RE, Detre JA. Sex differences in estimated brain metabolism in relation to body growth through adolescence. J Cereb Blood Flow Metab 2019; 39:524-535. [PMID: 29072856 PMCID: PMC6421255 DOI: 10.1177/0271678x17737692] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The human brain consumes a disproportionate amount of the body's overall metabolic resources, and evidence suggests that brain and body may compete for substrate during development. Using perfusion MRI from a large cross-sectional cohort, we examined developmental changes of MRI-derived estimates of brain metabolism, in relation to weight change. Nonlinear models demonstrated that, in childhood, changes in body weight were inversely related to developmental age-related changes in brain metabolism. This inverse relationship persisted through early adolescence, after which body and brain metabolism began to decline. Females achieved maximum body growth approximately two years earlier than males, with a correspondingly earlier stabilization of brain metabolism to adult levels. These findings confirm prior findings with positron emission tomography performed in a much smaller cohort, demonstrate that relative brain metabolism can be inferred from noninvasive MRI data, and extend observations on the associations between body growth and brain metabolism to sex differences through adolescence.
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Affiliation(s)
- Simon N Vandekar
- 1 Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Haochang Shou
- 1 Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Russell T Shinohara
- 1 Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Alison K Merikangas
- 2 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - David R Roalf
- 2 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Kosha Ruparel
- 2 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Adon Rosen
- 2 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Mark A Elliott
- 3 Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- 3 Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- 2 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.,3 Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.,4 Philadelphia Veterans Administration Medical Center, Philadelphia, PA, USA.,5 Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Raquel E Gur
- 2 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.,3 Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.,5 Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- 3 Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.,5 Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
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32
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Yerys BE, Herrington JD, Bartley GK, Liu HS, Detre JA, Schultz RT. Arterial spin labeling provides a reliable neurobiological marker of autism spectrum disorder. J Neurodev Disord 2018; 10:32. [PMID: 30541425 PMCID: PMC6292037 DOI: 10.1186/s11689-018-9250-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 11/14/2018] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Research on neurobiological markers of autism spectrum disorder (ASD) has been elusive. However, radionuclide studies of cerebral blood flow (CBF) have shown decreased blood flow (hypoperfusion) in the temporal lobes of individuals with ASD across ages and intelligence. This observation fits with current neuroscientific models that implicate temporal regions in social perception and social cognition. Arterial spin labeled perfusion MRI allows noninvasive quantification of regional CBF as part of a multimodal MRI protocol. This method is almost entirely absent from ASD research to date. Our a priori hypothesis was that children with ASD would present with hypoperfusion in the temporal lobes-most notably the fusiform gyrus (given its prominent role in ASD social perception deficits). We also sought to examine the reproducibility of CBF measures, and their relationship to individual differences in facial recognition and ASD symptoms. METHODS A total of 58 males (33 with ASD) between the ages of 12 and 17 years participated in the study. All children completed two arterial spin labeling and structural (T1) scans using a 3 T Siemens Verio scanner approximately 8 weeks apart, as well as behavioral testing at time 1 that included diagnostic measures and the Benton Facial Recognition Test. CBF was the key dependent variable, as was facial recognition performance, and ASD symptoms. The two scans were used for reliability analyses. RESULTS The ASD group showed hypoperfusion in the bilateral fusiform gyrus and in right inferior temporal gyrus. Intra-class correlations showed moderate to good reliability across time within both groups, and no diagnostic group × time interactions. CBF in the left fusiform gyrus was significantly positively correlated with facial recognition. No significant correlations were observed with core ASD symptoms. CONCLUSIONS Arterial spin labeling revealed hypoperfusion in children with ASD in regions critical to social perception and cognition. The left fusiform gyrus plays an important role in facial recognition, and greater CBF in this region was correlated with more normative facial recognition performance in children with ASD. This study takes an important first step in establishing CBF of the temporal lobes as a reliable marker of ASD.
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Affiliation(s)
- Benjamin E. Yerys
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
- Department of Psychiatry, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - John D. Herrington
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
- Department of Psychiatry, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - Gregory K. Bartley
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
| | - Hua-Shan Liu
- Department of Neurology, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - John A. Detre
- Department of Neurology, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - Robert T. Schultz
- Center for Autism Research, The Children’s Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, 5th floor, Philadelphia, PA 19146-2305 USA
- Department of Psychiatry, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
- Department of Pediatrics, Perelman School Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
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Ford AL, Ragan DK, Fellah S, Binkley MM, Fields ME, Guilliams KP, An H, Jordan LC, McKinstry RC, Lee JM, DeBaun MR. Silent infarcts in sickle cell disease occur in the border zone region and are associated with low cerebral blood flow. Blood 2018; 132:1714-1723. [PMID: 30061156 PMCID: PMC6194388 DOI: 10.1182/blood-2018-04-841247] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Accepted: 07/17/2018] [Indexed: 11/20/2022] Open
Abstract
Silent cerebral infarcts (SCIs) are associated with cognitive impairment in sickle cell anemia (SCA). SCI risk factors include low hemoglobin and elevated systolic blood pressure; however, mechanisms underlying their development are unclear. Using the largest prospective study evaluating SCIs in pediatric SCA, we identified brain regions with increased SCI density. We tested the hypothesis that infarct density is greatest within regions in which cerebral blood flow is lowest, further restricting cerebral oxygen delivery in the setting of chronic anemia. Neuroradiology and neurology committees reached a consensus of SCIs in 286 children in the Silent Infarct Transfusion (SIT) Trial. Each infarct was outlined and coregistered to a brain atlas to create an infarct density map. To evaluate cerebral blood flow as a function of infarct density, pseudocontinuous arterial spin labeling was performed in an independent pediatric SCA cohort. Blood flow maps were aligned to the SIT Trial infarct density map. Mean blood flow within low, moderate, and high infarct density regions from the SIT Trial were compared. Logistic regression evaluated clinical and imaging predictors of overt stroke at 3-year follow-up. The SIT Trial infarct density map revealed increased SCI density in the deep white matter of the frontal and parietal lobes. A relatively small region, measuring 5.6% of brain volume, encompassed SCIs from 90% of children. Cerebral blood flow was lowest in the region of highest infarct density (P < .001). Baseline infarct volume and reticulocyte count predicted overt stroke. In pediatric SCA, SCIs are symmetrically located in the deep white matter where minimum cerebral blood flow occurs.
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Affiliation(s)
| | | | | | | | | | | | - Hongyu An
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Lori C Jordan
- Department of Pediatrics, Vanderbilt University, Nashville, TN
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Jin-Moo Lee
- Department of Neurology
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
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Kaczkurkin AN, Moore TM, Calkins ME, Ciric R, Detre JA, Elliott MA, Foa EB, Garcia de la Garza A, Roalf DR, Rosen A, Ruparel K, Shinohara RT, Xia CH, Wolf DH, Gur RE, Gur RC, Satterthwaite TD. Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses. Mol Psychiatry 2018; 23:1981-1989. [PMID: 28924181 PMCID: PMC5858960 DOI: 10.1038/mp.2017.174] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 05/24/2017] [Accepted: 06/23/2017] [Indexed: 11/08/2022]
Abstract
The high comorbidity among neuropsychiatric disorders suggests a possible common neurobiological phenotype. Resting-state regional cerebral blood flow (CBF) can be measured noninvasively with magnetic resonance imaging (MRI) and abnormalities in regional CBF are present in many neuropsychiatric disorders. Regional CBF may also provide a useful biological marker across different types of psychopathology. To investigate CBF changes common across psychiatric disorders, we capitalized upon a sample of 1042 youths (ages 11-23 years) who completed cross-sectional imaging as part of the Philadelphia Neurodevelopmental Cohort. CBF at rest was quantified on a voxelwise basis using arterial spin labeled perfusion MRI at 3T. A dimensional measure of psychopathology was constructed using a bifactor model of item-level data from a psychiatric screening interview, which delineated four factors (fear, anxious-misery, psychosis and behavioral symptoms) plus a general factor: overall psychopathology. Overall psychopathology was associated with elevated perfusion in several regions including the right dorsal anterior cingulate cortex (ACC) and left rostral ACC. Furthermore, several clusters were associated with specific dimensions of psychopathology. Psychosis symptoms were related to reduced perfusion in the left frontal operculum and insula, whereas fear symptoms were associated with less perfusion in the right occipital/fusiform gyrus and left subgenual ACC. Follow-up functional connectivity analyses using resting-state functional MRI collected in the same participants revealed that overall psychopathology was associated with decreased connectivity between the dorsal ACC and bilateral caudate. Together, the results of this study demonstrate common and dissociable CBF abnormalities across neuropsychiatric disorders in youth.
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Affiliation(s)
- A N Kaczkurkin
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - T M Moore
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M E Calkins
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R Ciric
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J A Detre
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M A Elliott
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - E B Foa
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - A Garcia de la Garza
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D R Roalf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - A Rosen
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - K Ruparel
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - C H Xia
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D H Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Philadelphia Veterans Administration Medical Center, Philadelphia, PA, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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35
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Harms MP, Somerville LH, Ances BM, Andersson J, Barch DM, Bastiani M, Bookheimer SY, Brown TB, Buckner RL, Burgess GC, Coalson TS, Chappell MA, Dapretto M, Douaud G, Fischl B, Glasser MF, Greve DN, Hodge C, Jamison KW, Jbabdi S, Kandala S, Li X, Mair RW, Mangia S, Marcus D, Mascali D, Moeller S, Nichols TE, Robinson EC, Salat DH, Smith SM, Sotiropoulos SN, Terpstra M, Thomas KM, Tisdall MD, Ugurbil K, van der Kouwe A, Woods RP, Zöllei L, Van Essen DC, Yacoub E. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects. Neuroimage 2018; 183:972-984. [PMID: 30261308 DOI: 10.1016/j.neuroimage.2018.09.060] [Citation(s) in RCA: 239] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/17/2018] [Accepted: 09/20/2018] [Indexed: 12/21/2022] Open
Abstract
The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full lifespan, collecting structural, resting-state fMRI, task-fMRI, diffusion, and perfusion MRI in participants from 5 to 100+ years of age. HCP-D is enrolling 1300+ healthy children, adolescents, and young adults (ages 5-21), and HCP-A is enrolling 1200+ healthy adults (ages 36-100+), with each study collecting longitudinal data in a subset of individuals at particular age ranges. The imaging protocols of the HCP-D and HCP-A studies are very similar, differing primarily in the selection of different task-fMRI paradigms. We strove to harmonize the imaging protocol to the greatest extent feasible with the completed HCP-YA (1200+ participants, aged 22-35), but some imaging-related changes were motivated or necessitated by hardware changes, the need to reduce the total amount of scanning per participant, and/or the additional challenges of working with young and elderly populations. Here, we provide an overview of the common HCP-D/A imaging protocol including data and rationales for protocol decisions and changes relative to HCP-YA. The result will be a large, rich, multi-modal, and freely available set of consistently acquired data for use by the scientific community to investigate and define normative developmental and aging related changes in the healthy human brain.
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Affiliation(s)
- Michael P Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
| | - Leah H Somerville
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Beau M Ances
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jesper Andersson
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Matteo Bastiani
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Timothy B Brown
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Randy L Buckner
- Department of Psychology, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregory C Burgess
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Timothy S Coalson
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael A Chappell
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Gwenaëlle Douaud
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Bruce Fischl
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Matthew F Glasser
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; St. Luke's Hospital, St. Louis, MO, USA
| | - Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Cynthia Hodge
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Keith W Jamison
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Xiufeng Li
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Ross W Mair
- Center for Brain Science, Harvard University, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Silvia Mangia
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Daniel Marcus
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniele Mascali
- Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Rome, Italy
| | - Steen Moeller
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Thomas E Nichols
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Department of Statistics, University of Warwick, Coventry, UK
| | - Emma C Robinson
- Department of Biomedical Engineering, King's College London, London, UK
| | - David H Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen M Smith
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Stamatios N Sotiropoulos
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Melissa Terpstra
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Kathleen M Thomas
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - M Dylan Tisdall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kamil Ugurbil
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Roger P Woods
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA; Department of Neurology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | - Lilla Zöllei
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David C Van Essen
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
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Chen JJ. Functional MRI of brain physiology in aging and neurodegenerative diseases. Neuroimage 2018; 187:209-225. [PMID: 29793062 DOI: 10.1016/j.neuroimage.2018.05.050] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 05/16/2018] [Accepted: 05/20/2018] [Indexed: 12/14/2022] Open
Abstract
Brain aging and associated neurodegeneration constitute a major societal challenge as well as one for the neuroimaging community. A full understanding of the physiological mechanisms underlying neurodegeneration still eludes medical researchers, fuelling the development of in vivo neuroimaging markers. Hence it is increasingly recognized that our understanding of neurodegenerative processes likely will depend upon the available information provided by imaging techniques. At the same time, the imaging techniques are often developed in response to the desire to observe certain physiological processes. In this context, functional MRI (fMRI), which has for decades provided information on neuronal activity, has evolved into a large family of techniques well suited for in vivo observations of brain physiology. Given the rapid technical advances in fMRI in recent years, this review aims to summarize the physiological basis of fMRI observations in healthy aging as well as in age-related neurodegeneration. This review focuses on in-vivo human brain imaging studies in this review and on disease features that can be imaged using fMRI methods. In addition to providing detailed literature summaries, this review also discusses future directions in the study of brain physiology using fMRI in the clinical setting.
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Affiliation(s)
- J Jean Chen
- Rotman Research Institute at Baycrest Centre, Canada; Department of Medical Biophysics, University of Toronto, Canada.
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37
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Measurement of pediatric regional cerebral blood flow from 6 months to 15 years of age in a clinical population. Eur J Radiol 2018; 101:38-44. [DOI: 10.1016/j.ejrad.2018.02.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 12/17/2017] [Accepted: 02/05/2018] [Indexed: 12/16/2022]
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38
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Fields ME, Guilliams KP, Ragan DK, Binkley MM, Eldeniz C, Chen Y, Hulbert ML, McKinstry RC, Shimony JS, Vo KD, Doctor A, An H, Ford AL, Lee JM. Regional oxygen extraction predicts border zone vulnerability to stroke in sickle cell disease. Neurology 2018; 90:e1134-e1142. [PMID: 29500287 PMCID: PMC5880632 DOI: 10.1212/wnl.0000000000005194] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 12/05/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine mechanisms underlying regional vulnerability to infarction in sickle cell disease (SCD) by measuring voxel-wise cerebral blood flow (CBF), oxygen extraction fraction (OEF), and cerebral metabolic rate of oxygen utilization (CMRO2) in children with SCD. METHODS Participants underwent brain MRIs to measure voxel-based CBF, OEF, and CMRO2. An infarct heat map was created from an independent pediatric SCD cohort with silent infarcts and compared to prospectively obtained OEF maps. RESULTS Fifty-six participants, 36 children with SCD and 20 controls, completed the study evaluation. Whole-brain CBF (99.2 vs 66.3 mL/100 g/min, p < 0.001), OEF (42.7% vs 28.8%, p < 0.001), and CMRO2 (3.7 vs 2.5 mL/100 g/min, p < 0.001) were higher in the SCD cohort compared to controls. A region of peak OEF was identified in the deep white matter in the SCD cohort, delineated by a ratio map of average SCD to control OEF voxels. CMRO2 in this region, which encompassed the CBF nadir, was low relative to all white matter (p < 0.001). Furthermore, this peak OEF region colocalized with regions of greatest infarct density derived from an independent SCD cohort. CONCLUSIONS Elevated OEF in the deep white matter identifies a signature of metabolically stressed brain tissue at increased stroke risk in pediatric patients with SCD. We propose that border zone physiology, exacerbated by chronic anemic hypoxia, explains the high risk in this region.
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Affiliation(s)
- Melanie E Fields
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Kristin P Guilliams
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Dustin K Ragan
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Michael M Binkley
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Cihat Eldeniz
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Yasheng Chen
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Monica L Hulbert
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Robert C McKinstry
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Joshua S Shimony
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Katie D Vo
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Allan Doctor
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Hongyu An
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Andria L Ford
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Jin-Moo Lee
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO.
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Guilliams KP, Fields ME, Ragan DK, Eldeniz C, Binkley MM, Chen Y, Comiskey LS, Doctor A, Hulbert ML, Shimony JS, Vo KD, McKinstry RC, An H, Lee JM, Ford AL. Red cell exchange transfusions lower cerebral blood flow and oxygen extraction fraction in pediatric sickle cell anemia. Blood 2018; 131:1012-1021. [PMID: 29255068 PMCID: PMC5833262 DOI: 10.1182/blood-2017-06-789842] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 12/04/2017] [Indexed: 01/13/2023] Open
Abstract
Blood transfusions are the mainstay of stroke prevention in pediatric sickle cell anemia (SCA), but the physiology conferring this benefit is unclear. Cerebral blood flow (CBF) and oxygen extraction fraction (OEF) are elevated in SCA, likely compensating for reduced arterial oxygen content (CaO2). We hypothesized that exchange transfusions would decrease CBF and OEF by increasing CaO2, thereby relieving cerebral oxygen metabolic stress. Twenty-one children with SCA receiving chronic transfusion therapy (CTT) underwent magnetic resonance imaging before and after exchange transfusions. Arterial spin labeling and asymmetric spin echo sequences measured CBF and OEF, respectively, which were compared pre- and posttransfusion. Volumes of tissue with OEF above successive thresholds (36%, 38%, and 40%), as a metric of regional metabolic stress, were compared pre- and posttransfusion. Transfusions increased hemoglobin (Hb; from 9.1 to 10.3 g/dL; P < .001) and decreased Hb S (from 39.7% to 24.3%; P < .001). Transfusions reduced CBF (from 88 to 82.4 mL/100 g per minute; P = .004) and OEF (from 34.4% to 31.2%; P < .001). At all thresholds, transfusions reduced the volume of peak OEF found in the deep white matter, a location at high infarct risk in SCA (P < .001). Reduction of elevated CBF and OEF, both globally and regionally, suggests that CTT mitigates infarct risk in pediatric SCA by relieving cerebral metabolic stress at patient- and tissue-specific levels.
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Affiliation(s)
| | | | | | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Michael M Binkley
- Department of Mechanical Engineering and Material Science, Washington University in St. Louis, St. Louis, MO
| | | | | | | | | | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Katie D Vo
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Hongyu An
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Jin-Moo Lee
- Department of Neurology
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
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40
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Li Z, Vidorreta M, Katchmar N, Alsop DC, Wolf DH, Detre JA. Effects of resting state condition on reliability, trait specificity, and network connectivity of brain function measured with arterial spin labeled perfusion MRI. Neuroimage 2018; 173:165-175. [PMID: 29454933 PMCID: PMC5957091 DOI: 10.1016/j.neuroimage.2018.02.028] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 02/06/2018] [Accepted: 02/14/2018] [Indexed: 12/22/2022] Open
Abstract
Resting state fMRI (rs-fMRI) provides imaging biomarkers of task-independent brain function that can be associated with clinical variables or modulated by interventions such as behavioral training or pharmacological manipulations. These biomarkers include time-averaged regional brain function as manifested by regional cerebral blood flow (CBF) measured using arterial spin labeled (ASL) perfusion MRI and correlated temporal fluctuations of function across brain networks with either ASL or blood oxygenation level dependent (BOLD) fMRI. Resting-state studies are typically carried out using just one of several prescribed state conditions such as eyes closed (EC), eyes open (EO), or visual fixation on a cross-hair (FIX), which may affect the reliability and specificity of rs-fMRI. In this study, we collected test-retest ASL MRI data during 4 resting-state task conditions: EC, EO, FIX and PVT (low-frequency psychomotor vigilance task), and examined the effects of these task conditions on reliability and reproducibility as well as trait specificity of regional brain function. We also acquired resting-state BOLD fMRI under FIX and compared the network connectivity reliabilities between the four ASL conditions and the BOLD FIX condition. For resting-state ASL data, EC provided the highest CBF reliability, reproducibility, trait specificity, and network connectivity reliability, followed by EO, while FIX was lowest on all of these measures. PVT demonstrated lower CBF reliability, reproducibility and trait specificity than EO and EC. Overall network connectivity reliability was comparable between ASL and BOLD. Our findings confirm ASL CBF as a reliable, stable, and consistent measure of resting-state regional brain function and support the use of EC or EO over FIX and PVT as the resting-state condition.
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Affiliation(s)
- Zhengjun Li
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, USA
| | - Marta Vidorreta
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, USA
| | - Natalie Katchmar
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, USA
| | - David C Alsop
- Department of Radiology, Beth Israel Deaconess Medical Center, USA
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, USA; Department of Radiology, University of Pennsylvania Perelman School of Medicine, USA.
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Mishra V, Sreenivasan K, Banks SJ, Zhuang X, Yang Z, Cordes D, Bernick C. Investigating structural and perfusion deficits due to repeated head trauma in active professional fighters. NEUROIMAGE-CLINICAL 2017; 17:616-627. [PMID: 29234598 PMCID: PMC5716952 DOI: 10.1016/j.nicl.2017.11.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 11/13/2017] [Accepted: 11/14/2017] [Indexed: 12/14/2022]
Abstract
Repeated head trauma experienced by active professional fighters results in various structural, functional and perfusion damage. However, whether there are common regions of structural and perfusion damage due to fighting and whether these structural and perfusion differences are associated with neuropsychological measurements in active professional fighters is still unknown. To that end, T1-weighted and pseudocontinuous arterial spin labeling MRI on a group of healthy controls and active professional fighters were acquired. Voxelwise group comparisons, in a univariate and multivariate sense, were performed to investigate differences in gray and white matter density (GMD, WMD) and cerebral blood flow (CBF) between the two groups. A significantly positive association between global GMD and WMD was obtained with psychomotor speed and reaction time, respectively, in our cohort of active professional fighters. In addition, regional WMD deficit was observed in a cluster encompassing bilateral pons, hippocampus, and thalamus in fighters (0.49 ± 0.04 arbitrary units (a.u.)) as compared to controls (0.51 ± 0.05a.u.). WMD in the cluster of active fighters was also significantly associated with reaction time. Significantly lower CBF was observed in right inferior temporal lobe with both partial volume corrected (46.9 ± 14.93 ml/100 g/min) and non-partial volume corrected CBF maps (25.91 ± 7.99 ml/100 g/min) in professional fighters, as compared to controls (65.45 ± 22.24 ml/100 g/min and 35.22 ± 12.18 ml/100 g/min respectively). A paradoxical increase in CBF accompanying right cerebellum and fusiform gyrus in the active professional fighters (29.52 ± 13.03 ml/100 g/min) as compared to controls (19.43 ± 12.56 ml/100 g/min) was observed with non-partial volume corrected CBF maps. Multivariate analysis with both structural and perfusion measurements found the same clusters as univariate analysis in addition to a cluster in right precuneus. Both partial volume corrected and non-partial volume corrected CBF of the cluster in the thalamus had a significantly positive association with the number of fights. In addition, GMD of the cluster in right precuneus was significantly associated with psychomotor speed in our cohort of active professional fighters. Our results suggest a heterogeneous pattern of structural and CBF deficits due to repeated head trauma in active professional fighters. This finding indicates that investigating both structural and CBF changes in the same set of participants may help to understand the pathophysiology and progression of cognitive decline due to repeated head trauma. Repetitive head trauma revealed no global structural or global perfusion deficits. Cluster of significantly lower WMD was associated with reaction time in fighters. Fighters had lower CBF in right inferior temporal lobe. Multivariate analysis revealed a cluster associated with number of fights. Combined analysis of structural and perfusion measurements is recommended.
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Affiliation(s)
- Virendra Mishra
- Lou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, NV, United States.
| | - Karthik Sreenivasan
- Lou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, NV, United States
| | - Sarah J Banks
- Lou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, NV, United States
| | - Xiaowei Zhuang
- Lou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, NV, United States
| | - Zhengshi Yang
- Lou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, NV, United States
| | - Dietmar Cordes
- Lou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, NV, United States
| | - Charles Bernick
- Lou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, NV, United States
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Self-controlled super-selective arterial spin labelling. Eur Radiol 2017; 28:1227-1233. [PMID: 28971235 DOI: 10.1007/s00330-017-5066-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Revised: 08/18/2017] [Accepted: 09/07/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVES Arterial spin labelling (ASL) is a method of non-contrast-enhanced perfusion imaging that is generally based on the acquisition of two images which must be subtracted in order to obtain perfusion-weighted images. This is also the case for some flow territory mapping approaches that require the acquisition of two images for each artery of interest, thereby prolonging scan time and yielding largely redundant information. The aim of this study is to accelerate flow territory mapping using ASL by eliminating the acquisition of a control condition. METHODS Using super-selective ASL, only one artery of interest is tagged, while the contralateral arteries are in a state similar to the control condition. By using an arithmetic combination of the label images of all territories, selective images of flow territories can be obtained without the need to acquire an additional control condition. This approach for obtaining artery-selective perfusion-weighted images without acquiring a control condition is presented in this study and is referred to as "self-controlled super-selective ASL". RESULTS Quantitative perfusion measurements were similar to conventional super-selective and non-selective perfusion imaging across all subjects. CONCLUSION Super-selective arterial spin labelling can be performed without acquiring a control image. KEY POINTS • An accelerated method of flow territory mapping is presented. • Super-selective arterial spin labelling is performed without a control condition. • A new approach for calculating individual flow territories is presented. • The presented technique is compared to established approaches. • The outcome is similar to that using conventional techniques.
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Li W, Liu P, Lu H, Strouse JJ, van Zijl PC, Qin Q. Fast measurement of blood T 1 in the human carotid artery at 3T: Accuracy, precision, and reproducibility. Magn Reson Med 2017; 77:2296-2302. [PMID: 27436420 PMCID: PMC5250597 DOI: 10.1002/mrm.26325] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 05/16/2016] [Accepted: 06/07/2016] [Indexed: 11/10/2022]
Abstract
PURPOSE To develop a fast protocol for measuring T1 values in the internal carotid artery (ICA), to validate this technique with in vitro measurements, and to evaluate its reproducibility. METHODS A modified Look-Locker sequence was optimized to enable rapid determination of T1 in the ICA at 3T. T1 values from the ICA were compared with in vitro measurements on individually sampled venous blood oxygenated to arterial levels. A test-retest reproducibility study was also conducted. RESULTS The group-averaged arterial blood T1 value was 1908 ± 77 ms for six women (hematocrit = 0.39 ± 0.03) and 1785 ± 55 ms for seven men (hematocrit = 0.45 ± 0.02), which is 100-200 ms longer than the widely adopted value obtained from bovine blood experiments. The arterial T1 value per subject correlated significantly with individual hematocrit values. The intrasession and intersession coefficients of variation were 1.1% and 2.1%, respectively, indicating good precision and reproducibility of our method. Reasonable agreement was observed between the in vivo and in vitro results with a correlation coefficient of 0.78. CONCLUSION The proposed method can provide fast arterial T1 measurement on individual subjects. When not performing such a subject-specific measurement, we recommend the use of 1908 ms and 1785 ms for healthy women and men, respectively, or 1841 ms for adults in general. Magn Reson Med 77:2296-2302, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Wenbo Li
- Department of Radiology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Peiying Liu
- Department of Radiology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hanzhang Lu
- Department of Radiology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - John J. Strouse
- Division of Pediatric Hematology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Peter C.M. van Zijl
- Department of Radiology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Qin Qin
- Department of Radiology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
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Lajoie I, Tancredi FB, Hoge RD. The impact of inspired oxygen levels on calibrated fMRI measurements of M, OEF and resting CMRO2 using combined hypercapnia and hyperoxia. PLoS One 2017; 12:e0174932. [PMID: 28362834 PMCID: PMC5376305 DOI: 10.1371/journal.pone.0174932] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 03/17/2017] [Indexed: 12/04/2022] Open
Abstract
Recent calibrated fMRI techniques using combined hypercapnia and hyperoxia allow the mapping of resting cerebral metabolic rate of oxygen (CMRO2) in absolute units, oxygen extraction fraction (OEF) and calibration parameter M (maximum BOLD). The adoption of such technique necessitates knowledge about the precision and accuracy of the model-derived parameters. One of the factors that may impact the precision and accuracy is the level of oxygen provided during periods of hyperoxia (HO). A high level of oxygen may bring the BOLD responses closer to the maximum M value, and hence reduce the error associated with the M interpolation. However, an increased concentration of paramagnetic oxygen in the inhaled air may result in a larger susceptibility area around the frontal sinuses and nasal cavity. Additionally, a higher O2 level may generate a larger arterial blood T1 shortening, which require a bigger cerebral blood flow (CBF) T1 correction. To evaluate the impact of inspired oxygen levels on M, OEF and CMRO2 estimates, a cohort of six healthy adults underwent two different protocols: one where 60% of O2 was administered during HO (low HO or LHO) and one where 100% O2 was administered (high HO or HHO). The QUantitative O2 (QUO2) MRI approach was employed, where CBF and R2* are simultaneously acquired during periods of hypercapnia (HC) and hyperoxia, using a clinical 3 T scanner. Scan sessions were repeated to assess repeatability of results at the different O2 levels. Our T1 values during periods of hyperoxia were estimated based on an empirical ex-vivo relationship between T1 and the arterial partial pressure of O2. As expected, our T1 estimates revealed a larger T1 shortening in arterial blood when administering 100% O2 relative to 60% O2 (T1LHO = 1.56±0.01 sec vs. T1HHO = 1.47±0.01 sec, P < 4*10−13). In regard to the susceptibility artifacts, the patterns and number of affected voxels were comparable irrespective of the O2 concentration. Finally, the model-derived estimates were consistent regardless of the HO levels, indicating that the different effects are adequately accounted for within the model.
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Affiliation(s)
- Isabelle Lajoie
- Département de physiologie moléculaire et intégrative, Institut de génie biomédical, Université de Montréal, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- * E-mail:
| | - Felipe B. Tancredi
- Departamento de Radiologia, Centro de Pesquisa em Imagem, Hospital Israelita Albert Einstein, São Palo, SP, Brazil
| | - Richard D. Hoge
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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45
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Ouyang M, Liu P, Jeon T, Chalak L, Heyne R, Rollins NK, Licht DJ, Detre JA, Roberts TPL, Lu H, Huang H. Heterogeneous increases of regional cerebral blood flow during preterm brain development: Preliminary assessment with pseudo-continuous arterial spin labeled perfusion MRI. Neuroimage 2016; 147:233-242. [PMID: 27988320 DOI: 10.1016/j.neuroimage.2016.12.034] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 12/10/2016] [Accepted: 12/13/2016] [Indexed: 01/11/2023] Open
Abstract
The human brain develops rapidly during 32-45 postmenstrual weeks (PMW), a critical stage characterized by dramatic increases of metabolic demand. The increasing metabolic demand can be inferred through measurements of regional cerebral blood flow (CBF), which might be coupled to regional metabolism in preterm brains. Arterial spin labeled (ASL) perfusion MRI is one of the few viable approaches for imaging regional CBF of preterm brains, but must be optimized for the extremely slow blood velocity unique in preterm brains. In this study, we explored the spatiotemporal CBF distribution in newborns scanned at the age of 32-45PMW using a pseudo-continuous ASL (pCASL) protocol adapted to slow blood flow in neonates. A total of 89 neonates were recruited. PCASL MRI was acquired from 34 normal newborns and phase contrast (PC) images from 19 newborns. Diffusion tensor images (DTI) were acquired from all 89 neonates for measuring cortical fractional anisotropy (FA), which characterizes cortical microstructure. Reproducible CBF measurements were obtained with the adjusted pCASL sequence. Global CBF measurement based on PC MRI was found to double its value in the 3rd trimester. Regional CBF increases were heterogeneous across the brain with a significantly higher rate of CBF increase in the frontal lobe and a lower rate of CBF increase in the occipital lobe. A significant correlation was found between frontal cortical CBF and cortical FA measurements (p<0.01). Increasing CBF values observed in the frontal lobe corresponded to lower FA values, suggesting that dendritic arborization and synaptic formation might be associated with an elevated local CBF. These results offer a preliminary account of heterogeneous regional CBF increases in a vital early developmental period and may shed the light on underlying metabolic support for cortical microstructural changes during the developmental period of 32-45PMW. Preterm effects and limitations of pCASL techniques in newborns need to be carefully considered for interpretation these results.
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Affiliation(s)
- Minhui Ouyang
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Biomedical Engineering Joint Graduate Program, University of Texas at Arlington-University of Texas Southwestern Medical Center, TX, United States
| | - Peiying Liu
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Department of Radiology, School of Medicine, Johns Hopkins University, MD, United States
| | - Tina Jeon
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Biomedical Engineering Joint Graduate Program, University of Texas at Arlington-University of Texas Southwestern Medical Center, TX, United States
| | - Lina Chalak
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Roy Heyne
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Nancy K Rollins
- Departemnt of Radiology, Children's Medical Center, Dallas, TX, United States
| | - Daniel J Licht
- Division of Neurology, Children's Hospital of Philadelphia, PA, United States
| | - John A Detre
- Department of Neurology, University of Pennsylvania, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Timothy P L Roberts
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Hanzhang Lu
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Department of Radiology, School of Medicine, Johns Hopkins University, MD, United States
| | - Hao Huang
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, United States.
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D'Ortenzio RM, Hojjat SP, Vitorino R, Cantrell CG, Lee L, Feinstein A, O'Connor P, Carroll TJ, Aviv RI. Comparison of Quantitative Cerebral Blood Flow Measurements Performed by Bookend Dynamic Susceptibility Contrast and Arterial Spin-Labeling MRI in Relapsing-Remitting Multiple Sclerosis. AJNR Am J Neuroradiol 2016; 37:2265-2272. [PMID: 27686489 DOI: 10.3174/ajnr.a4939] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Accepted: 06/23/2016] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND PURPOSE Quantitative CBF usage as a biomarker for cognitive impairment and disease progression in MS is potentially a powerful tool for longitudinal patient monitoring. Dynamic susceptibility contrast perfusion with bookend T1-calibration (bookend technique) and pseudocontinuous arterial spin-labeling have recently been used for CBF quantification in relapsing-remitting MS. The noninvasive nature of pseudocontinuous arterial spin-labeling is advantageous over gadolinium-based techniques, but correlation between the techniques is not well-established in the context of MS. MATERIALS AND METHODS We compared pseudocontinuous arterial spin-labeling CBF with the bookend technique in a prospective cohort of 19 healthy controls, 19 subjects with relapsing-remitting MS without cognitive impairment, and 20 subjects with relapsing-remitting MS with cognitive impairment on a voxelwise and Brodmann region basis. The linear Pearson correlation, SNR, and coefficient of variation were quantified. RESULTS Voxelwise paired t tests revealed no significant CBF differences between techniques after normalization of global mean intensities. The highest Pearson correlations were observed in deep GM structures (average r = 0.71 for the basal ganglia and r = 0.65 for the thalamus) but remained robust for cortical GM, WM, and white matter lesions (average r = 0.51, 0.53, 0.54, respectively). Lower Pearson correlations were observed for cortical lesions (average r = 0.23). Brodmann region correlations were significant for all groups. All correlations were maintained in healthy controls and in patients with relapsing-remitting multiple sclerosis. The highest SNR was present in bookend perfusion, while the highest coefficient of variation was present in white matter lesions. CONCLUSIONS Agreement between pseudocontinuous arterial spin-labeling and bookend technique CBF measurements is demonstrated in healthy controls and patients with relapsing-remitting MS.
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Affiliation(s)
- R M D'Ortenzio
- University of Toronto (R.M.D., P.O.C., L.L., A.F., R.I.A.), Toronto, Ontario, Canada
| | - S P Hojjat
- Medical Imaging (S.P.H., R.V., R.I.A.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - R Vitorino
- Medical Imaging (S.P.H., R.V., R.I.A.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - C G Cantrell
- Departments of Biomedical Engineering (C.G.C., T.J.C.)
| | - L Lee
- Neurology (L.L.)
- University of Toronto (R.M.D., P.O.C., L.L., A.F., R.I.A.), Toronto, Ontario, Canada
| | - A Feinstein
- From the Departments of Psychiatry (A.F.)
- University of Toronto (R.M.D., P.O.C., L.L., A.F., R.I.A.), Toronto, Ontario, Canada
| | - P O'Connor
- University of Toronto (R.M.D., P.O.C., L.L., A.F., R.I.A.), Toronto, Ontario, Canada
| | - T J Carroll
- Departments of Biomedical Engineering (C.G.C., T.J.C.)
- Radiology (T.J.C.), Northwestern University, Chicago, Illinois
| | - R I Aviv
- Medical Imaging (S.P.H., R.V., R.I.A.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- University of Toronto (R.M.D., P.O.C., L.L., A.F., R.I.A.), Toronto, Ontario, Canada
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47
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Kaczkurkin AN, Moore TM, Ruparel K, Ciric R, Calkins ME, Shinohara RT, Elliott MA, Hopson R, Roalf DR, Vandekar SN, Gennatas ED, Wolf DH, Scott JC, Pine DS, Leibenluft E, Detre JA, Foa EB, Gur RE, Gur RC, Satterthwaite TD. Elevated Amygdala Perfusion Mediates Developmental Sex Differences in Trait Anxiety. Biol Psychiatry 2016; 80:775-785. [PMID: 27395327 PMCID: PMC5074881 DOI: 10.1016/j.biopsych.2016.04.021] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 04/15/2016] [Accepted: 04/18/2016] [Indexed: 01/04/2023]
Abstract
BACKGROUND Adolescence is a critical period for emotional maturation and is a time when clinically significant symptoms of anxiety and depression increase, particularly in females. However, few studies relate developmental differences in symptoms of anxiety and depression to brain development. Cerebral blood flow is one brain phenotype that is known to have marked developmental sex differences. METHODS We investigated whether developmental sex differences in cerebral blood flow mediated sex differences in anxiety and depression symptoms by capitalizing on a large sample of 875 youths who completed cross-sectional imaging as part of the Philadelphia Neurodevelopmental Cohort. Perfusion was quantified on a voxelwise basis using arterial spin-labeled magnetic resonance imaging at 3T. Perfusion images were related to trait and state anxiety using general additive models with penalized splines, while controlling for gray matter density on a voxelwise basis. Clusters found to be related to anxiety were evaluated for interactions with age, sex, and puberty. RESULTS Trait anxiety was associated with elevated perfusion in a network of regions including the amygdala, anterior insula, and fusiform cortex, even after accounting for prescan state anxiety. Notably, these relationships strengthened with age and the transition through puberty. Moreover, higher trait anxiety in postpubertal females was mediated by elevated perfusion of the left amygdala. CONCLUSIONS Taken together, these results demonstrate that differences in the evolution of cerebral perfusion during adolescence may be a critical element of the affective neurobiological characteristics underlying sex differences in anxiety and mood symptoms.
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Affiliation(s)
- Antonia N Kaczkurkin
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Tyler M Moore
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Kosha Ruparel
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Rastko Ciric
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Monica E Calkins
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Russell T Shinohara
- Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Mark A Elliott
- Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Ryan Hopson
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - David R Roalf
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Simon N Vandekar
- Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Efstathios D Gennatas
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Daniel H Wolf
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - J Cobb Scott
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Philadelphia Veterans Administration Medical Center, Philadelphia, Pennsylvania
| | - Daniel S Pine
- Emotion and Development Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Ellen Leibenluft
- Emotion and Development Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - John A Detre
- Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Neurology,University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Edna B Foa
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Raquel E Gur
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Ruben C Gur
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Emotion and Development Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Theodore D Satterthwaite
- Departments of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
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48
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Zhang X, Li CX. Arterial spin labeling perfusion magnetic resonance imaging of non-human primates. Quant Imaging Med Surg 2016; 6:573-581. [PMID: 27942478 DOI: 10.21037/qims.2016.10.05] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Non-human primates (NHPs) resemble most aspects of humans in brain physiology and anatomy and are excellent animal models for translational research in neuroscience, biomedical research and pharmaceutical development. Cerebral blood flow (CBF) offers essential physiological information of the brain to examine the abnormal functionality in NHP models with cerebral vascular diseases and neurological disorders or dementia. Arterial spin labeling (ASL) perfusion MRI techniques allow for high temporal and spatial CBF measurement and are intensively used in studies of animals and humans. In this article, current high-resolution ASL perfusion MRI techniques for quantitative evaluation of brain physiology and function in NHPs are described and their applications and limitation are discussed as well.
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Affiliation(s)
- Xiaodong Zhang
- Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA;; Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, GA, 30329, USA
| | - Chun-Xia Li
- Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
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49
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Lajoie I, Tancredi FB, Hoge RD. Regional Reproducibility of BOLD Calibration Parameter M, OEF and Resting-State CMRO2 Measurements with QUO2 MRI. PLoS One 2016; 11:e0163071. [PMID: 27649493 PMCID: PMC5029886 DOI: 10.1371/journal.pone.0163071] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 09/01/2016] [Indexed: 11/18/2022] Open
Abstract
The current generation of calibrated MRI methods goes beyond simple localization of task-related responses to allow the mapping of resting-state cerebral metabolic rate of oxygen (CMRO2) in micromolar units and estimation of oxygen extraction fraction (OEF). Prior to the adoption of such techniques in neuroscience research applications, knowledge about the precision and accuracy of absolute estimates of CMRO2 and OEF is crucial and remains unexplored to this day. In this study, we addressed the question of methodological precision by assessing the regional inter-subject variance and intra-subject reproducibility of the BOLD calibration parameter M, OEF, O2 delivery and absolute CMRO2 estimates derived from a state-of-the-art calibrated BOLD technique, the QUantitative O2 (QUO2) approach. We acquired simultaneous measurements of CBF and R2* at rest and during periods of hypercapnia (HC) and hyperoxia (HO) on two separate scan sessions within 24 hours using a clinical 3 T MRI scanner. Maps of M, OEF, oxygen delivery and CMRO2, were estimated from the measured end-tidal O2, CBF0, CBFHC/HO and R2*HC/HO. Variability was assessed by computing the between-subject coefficients of variation (bwCV) and within-subject CV (wsCV) in seven ROIs. All tests GM-averaged values of CBF0, M, OEF, O2 delivery and CMRO2 were: 49.5 ± 6.4 mL/100 g/min, 4.69 ± 0.91%, 0.37 ± 0.06, 377 ± 51 μmol/100 g/min and 143 ± 34 μmol/100 g/min respectively. The variability of parameter estimates was found to be the lowest when averaged throughout all GM, with general trends toward higher CVs when averaged over smaller regions. Among the MRI measurements, the most reproducible across scans was R2*0 (wsCVGM = 0.33%) along with CBF0 (wsCVGM = 3.88%) and R2*HC (wsCVGM = 6.7%). CBFHC and R2*HO were found to have a higher intra-subject variability (wsCVGM = 22.4% and wsCVGM = 16% respectively), which is likely due to propagation of random measurement errors, especially for CBFHC due to the low contrast-to-noise ratio intrinsic to ASL. Reproducibility of the QUO2 derived estimates were computed, yielding a GM intra-subject reproducibility of 3.87% for O2 delivery, 16.8% for the M value, 13.6% for OEF and 15.2% for CMRO2. Although these results focus on the precision of the QUO2 method, rather than the accuracy, the information will be useful for calculation of statistical power in future validation studies and ultimately for research applications of the method. The higher test-retest variability for the more extensively modeled parameters (M, OEF, and CMRO2) highlights the need for further improvement of acquisition methods to reduce noise levels.
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Affiliation(s)
- Isabelle Lajoie
- Département de physiologie moléculaire et intégrative, Institut de génie biomédical, Université de Montréal, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- * E-mail:
| | - Felipe B. Tancredi
- Departamento de Radiologia, Centro de Pesquisa em Imagem, Hospital Israelita Albert Einstein, São Palo, SP, Brazil
| | - Richard D. Hoge
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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50
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Saygin ZM, Osher DE, Norton ES, Youssoufian DA, Beach SD, Feather J, Gaab N, Gabrieli JDE, Kanwisher N. Connectivity precedes function in the development of the visual word form area. Nat Neurosci 2016; 19:1250-5. [PMID: 27500407 PMCID: PMC5003691 DOI: 10.1038/nn.4354] [Citation(s) in RCA: 230] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 07/05/2016] [Indexed: 11/11/2022]
Abstract
What determines the cortical location at which a given functionally specific region will arise in development? We tested the hypothesis that functionally specific regions develop in their characteristic locations because of pre-existing differences in the extrinsic connectivity of that region to the rest of the brain. We exploited the visual word form area (VWFA) as a test case, scanning children with diffusion and functional imaging at age 5, before they learned to read, and at age 8, after they learned to read. We found the VWFA developed functionally in this interval and that its location in a particular child at age 8 could be predicted from that child's connectivity fingerprints (but not functional responses) at age 5. These results suggest that early connectivity instructs the functional development of the VWFA, possibly reflecting a general mechanism of cortical development.
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Affiliation(s)
- Zeynep M Saygin
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - David E Osher
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Elizabeth S Norton
- Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
| | - Deanna A Youssoufian
- Department of Biological Sciences, Barnard College, Columbia University, New York, New York, USA
| | - Sara D Beach
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Jenelle Feather
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Nadine Gaab
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Nancy Kanwisher
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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