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Chaker SC, Reddy AP, King D, Manzanera Esteve IV, Thayer WP. Diffusion Tensor Imaging: Techniques and Applications for Peripheral Nerve Injury. Ann Plast Surg 2024; 93:S113-S115. [PMID: 39230294 DOI: 10.1097/sap.0000000000004055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
ABSTRACT Peripheral nerve injuries (PNIs) represent a complex clinical challenge, necessitating precise diagnostic approaches for optimal management. Traditional diagnostic methods often fall short in accurately assessing nerve recovery as these methods rely on the completion of nerve reinnervation, which can prolong a patient's treatment. Diffusion tensor imaging (DTI), a noninvasive magnetic resonance imaging (MRI) technique, has emerged as a promising tool in this context. DTI offers unique advantages including the ability to quantify nerve recovery and provide in vivo visualizations of neuronal architecture. Therefore, this review aims to examine and outline DTI techniques and its utility in detecting distal nerve regeneration in both preclinical and clinical settings for peripheral nerve injury.
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Affiliation(s)
- Sara C Chaker
- From the Department of Plastic Surgery, Vanderbilt University Medical Center
| | | | - Daniella King
- Vanderbilt University School of Medicine, Nashville, TN
| | | | - Wesley P Thayer
- From the Department of Plastic Surgery, Vanderbilt University Medical Center
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Bang M, Heo Y, Choi TK, Lee SH. Positive Effects of Uric Acid on White Matter Microstructures and Treatment Response in Patients With Schizophrenia. Schizophr Bull 2024; 50:815-826. [PMID: 38300803 PMCID: PMC11283201 DOI: 10.1093/schbul/sbae008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia involves microstructural changes in white matter (WM) tracts. Oxidative stress is a key factor causing WM damage by hindering oligodendrocyte development and myelin maturation. Uric acid (UA), an endogenous antioxidant, may protect against oxidative stress. We investigated the effect of UA on WM connectivity in antipsychotic-naive or -free patients with early- or chronic-stage schizophrenia. STUDY DESIGN A total of 192 patients with schizophrenia (122 recent-onset [ROS] and 70 chronic [CS]) and 107 healthy controls (HCs) participated in this study. Diffusion tensor imaging data and serum UA levels at baseline were obtained. STUDY RESULTS Fractional anisotropy was lower in the widespread WM regions across the whole brain, and diffusivity measures were higher in both schizophrenia groups than in HCs. The CS group showed lower diffusivity in some WM tracts than the ROS or HC groups. The linear relationship of serum UA levels with axial and mean diffusivity in the right frontal region was significantly different between schizophrenia stages, which was driven by a negative association in the CS group. WM diffusivity associated with serum UA levels correlated with 8-week treatment responses only in patients with CS, suggesting UA to be protective against long-term schizophrenia. CONCLUSIONS UA may protect against the WM damage associated with the progression of schizophrenia by reducing oxidative stress and supporting WM repair against oxidative damage. These results provide insights into the positive role of UA and may facilitate the development of novel disease-modifying therapies.
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Affiliation(s)
- Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Yul Heo
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Tai Kiu Choi
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
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McCullough KB, Titus A, Reardon K, Conyers S, Dougherty JD, Ge X, Garbow JR, Dickson P, Yuede CM, Maloney SE. Characterization of early markers of disease in the mouse model of mucopolysaccharidosis IIIB. J Neurodev Disord 2024; 16:16. [PMID: 38632525 PMCID: PMC11022360 DOI: 10.1186/s11689-024-09534-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 04/01/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Mucopolysaccharidosis (MPS) IIIB, also known as Sanfilippo Syndrome B, is a devastating childhood disease. Unfortunately, there are currently no available treatments for MPS IIIB patients. Yet, animal models of lysosomal storage diseases have been valuable tools in identifying promising avenues of treatment. Enzyme replacement therapy, gene therapy, and bone marrow transplant have all shown efficacy in the MPS IIIB model systems. A ubiquitous finding across rodent models of lysosomal storage diseases is that the best treatment outcomes resulted from intervention prior to symptom onset. Therefore, the aim of the current study was to identify early markers of disease in the MPS IIIB mouse model as well as examine clinically-relevant behavioral domains not yet explored in this model. METHODS Using the MPS IIIB mouse model, we explored early developmental trajectories of communication and gait, and later social behavior, fear-related startle and conditioning, and visual capabilities. In addition, we examined brain structure and function via magnetic resonance imaging and diffusion tensor imaging. RESULTS We observed reduced maternal isolation-induced ultrasonic vocalizations in MPS IIIB mice relative to controls, as well as disruption in a number of the spectrotemporal features. MPS IIIB also exhibited disrupted thermoregulation during the first two postnatal weeks without any differences in body weight. The developmental trajectories of gait were largely normal. In early adulthood, we observed intact visual acuity and sociability yet a more submissive phenotype, increased aggressive behavior, and decreased social sniffing relative to controls. MPS IIIB mice showed greater inhibition of startle in response to a pretone with a decrease in overall startle response and reduced cued fear memory. MPS IIIB also weighed significantly more than controls throughout adulthood and showed larger whole brain volumes and normalized regional volumes with intact tissue integrity as measured with magnetic resonance and diffusion tensor imaging, respectively. CONCLUSIONS Together, these results indicate disease markers are present as early as the first two weeks postnatal in this model. Further, this model recapitulates social, sensory and fear-related clinical features. Our study using a mouse model of MPS IIIB provides essential baseline information that will be useful in future evaluations of potential treatments.
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Affiliation(s)
- Katherine B McCullough
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Amanda Titus
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Kate Reardon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Sara Conyers
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Joseph D Dougherty
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Xia Ge
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Joel R Garbow
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Patricia Dickson
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Carla M Yuede
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Susan E Maloney
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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4
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Takahashi H, Takami Y, Takeda S, Hayakawa N, Nakajima T, Takeya Y, Matsuo-Hagiyama C, Arisawa A, Rakugi H, Tomiyama N. Imaging Biomarker for Early-Stage Alzheimer Disease: Utility of Hippocampal Histogram Analysis of Diffusion Metrics. AJNR Am J Neuroradiol 2024; 45:320-327. [PMID: 38331963 DOI: 10.3174/ajnr.a8106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/17/2023] [Indexed: 02/10/2024]
Abstract
BACKGROUND AND PURPOSE Biomarkers have been required for diagnosing early Alzheimer disease. We assessed the utility of hippocampal diffusion parameters for diagnosing Alzheimer disease pathology in mild cognitive impairment. MATERIALS AND METHODS Sixty-nine patients with mild cognitive impairment underwent both CSF measurement and multi-shell diffusion imaging at 3T. Based on the CSF biomarker level, patients were classified according to the presence (Alzheimer disease group, n = 35) or absence (non-Alzheimer disease group, n = 34) of Alzheimer disease pathology. Neurite orientation dispersion and density imaging and diffusion tensor imaging parametric maps were generated. Two observers independently created the hippocampal region of interest for calculating histogram features. Interobserver correlations were calculated. The statistical significance of intergroup differences was tested by using the Mann-Whitney U test. Logistic regression analyses, using both the clinical scale and the image data, were used to predict intergroup differences, after which group discriminations were performed. RESULTS Most intraclass correlation coefficient values were between 0.59 and 0.91. In the regions of interest of both observers, there were statistically significant intergroup differences for the left-side neurite orientation dispersion and density imaging-derived intracellular volume fraction, right-side diffusion tensor imaging-derived mean diffusivity, left-side diffusion tensor imaging-derived mean diffusivity, axial diffusivity, and radial diffusivity (P < .05). Logistic regression models revealed that diffusion parameters contributed the most to discriminating between the groups. The areas under the receiver operating characteristic curve for the regions of interest of observers A/B were 0.69/0.68, 0.69/0.68, 0.73/0.68, 0.71/0.68, and 0.68/0.68 for the left-side intracellular volume fraction (mean), right-side mean diffusivity (mean), left-side mean diffusivity (10th percentile), axial diffusivity (10th percentile), and radial diffusivity (mean). CONCLUSIONS Hippocampal diffusion parameters might be useful for the early diagnosis of Alzheimer disease.
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Affiliation(s)
- Hiroto Takahashi
- From the Department of Diagnostic and Interventional Radiology (H.T., C.M.-H., A.A., N.T.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Yoichi Takami
- Department of Geriatric and General Medicine (Y. Takami, N.H., T.N., Y. Takeya, H.R.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Shuko Takeda
- Department of Clinical Gene Therapy, Graduate School of Medicine (S.T.), Osaka University, Suita, Osaka, Japan
- Osaka Psychiatric Research Center (S.T.), Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan
| | - Naoki Hayakawa
- Department of Geriatric and General Medicine (Y. Takami, N.H., T.N., Y. Takeya, H.R.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Tsuneo Nakajima
- Department of Geriatric and General Medicine (Y. Takami, N.H., T.N., Y. Takeya, H.R.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Yasushi Takeya
- Department of Geriatric and General Medicine (Y. Takami, N.H., T.N., Y. Takeya, H.R.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Chisato Matsuo-Hagiyama
- From the Department of Diagnostic and Interventional Radiology (H.T., C.M.-H., A.A., N.T.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Atsuko Arisawa
- From the Department of Diagnostic and Interventional Radiology (H.T., C.M.-H., A.A., N.T.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Hiromi Rakugi
- Department of Geriatric and General Medicine (Y. Takami, N.H., T.N., Y. Takeya, H.R.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Noriyuki Tomiyama
- From the Department of Diagnostic and Interventional Radiology (H.T., C.M.-H., A.A., N.T.), Osaka University Graduate School of Medicine, Suita, Osaka, Japan
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Giri T, Maloney SE, Giri S, Goo YA, Song JH, Son M, Tycksen E, Conyers SB, Bice A, Ge X, Garbow JR, Quirk JD, Bauer AQ, Palanisamy A. Oxytocin-induced birth causes sex-specific behavioral and brain connectivity changes in developing rat offspring. iScience 2024; 27:108960. [PMID: 38327784 PMCID: PMC10847747 DOI: 10.1016/j.isci.2024.108960] [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: 08/21/2023] [Revised: 11/23/2023] [Accepted: 01/15/2024] [Indexed: 02/09/2024] Open
Abstract
Despite six decades of the use of exogenous oxytocin for management of labor, little is known about its effects on the developing brain. Motivated by controversial reports suggesting a link between oxytocin use during labor and autism spectrum disorders (ASDs), we employed our recently validated rat model for labor induction with oxytocin to address this important concern. Using a combination of molecular biological, behavioral, and neuroimaging assays, we show that induced birth with oxytocin leads to sex-specific disruption of oxytocinergic signaling in the developing brain, decreased communicative ability of pups, reduced empathy-like behaviors especially in male offspring, and widespread sex-dependent changes in functional cortical connectivity. Contrary to our hypothesis, social behavior, typically impaired in ASDs, was largely preserved. Collectively, our foundational studies provide nuanced insights into the neurodevelopmental impact of birth induction with oxytocin and set the stage for mechanistic investigations in animal models and prospective longitudinal clinical studies.
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Affiliation(s)
- Tusar Giri
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan E. Maloney
- Department of Psychiatry, Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Saswat Giri
- Graduate Student, School of Public Health and Social Justice, St. Louis University, St. Louis, MO, USA
| | - Young Ah Goo
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA
- Mass Spectrometry Technology Access Center (MTAC), McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Jong Hee Song
- Mass Spectrometry Technology Access Center (MTAC), McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Minsoo Son
- Mass Spectrometry Technology Access Center (MTAC), McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric Tycksen
- Genome Technology Access Center (GTAC), McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Sara B. Conyers
- Department of Psychiatry, Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Annie Bice
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Xia Ge
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Joel R. Garbow
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - James D. Quirk
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Adam Q. Bauer
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Arvind Palanisamy
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA
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Neher P, Hirjak D, Maier-Hein K. Radiomic tractometry reveals tract-specific imaging biomarkers in white matter. Nat Commun 2024; 15:303. [PMID: 38182594 PMCID: PMC10770385 DOI: 10.1038/s41467-023-44591-3] [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: 05/18/2023] [Accepted: 12/21/2023] [Indexed: 01/07/2024] Open
Abstract
Tract-specific microstructural analysis of the brain's white matter (WM) using diffusion MRI has been a driver for neuroscientific discovery with a wide range of applications. Tractometry enables localized tissue analysis along tracts but relies on bare summary statistics and reduces complex image information along a tract to few scalar values, and so may miss valuable information. This hampers the applicability of tractometry for predictive modelling. Radiomics is a promising method based on the analysis of numerous quantitative image features beyond what can be visually perceived, but has not yet been used for tract-specific analysis of white matter. Here we introduce radiomic tractometry (RadTract) and show that introducing rich radiomics-based feature sets into the world of tractometry enables improved predictive modelling while retaining the localization capability of tractometry. We demonstrate its value in a series of clinical populations, showcasing its performance in diagnosing disease subgroups in different datasets, as well as estimation of demographic and clinical parameters. We propose that RadTract could spark the establishment of a new generation of tract-specific imaging biomarkers with benefits for a range of applications from basic neuroscience to medical research.
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Affiliation(s)
- Peter Neher
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany.
- German Cancer Consortium (DKTK), partner site Heidelberg, Heidelberg, Germany.
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159, Mannheim, Germany
| | - Klaus Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany
- German Cancer Consortium (DKTK), partner site Heidelberg, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and the university medical center Heidelberg, Heidelberg, Germany
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Acosta JN, Haider SP, Rivier C, Leasure AC, Sheth KN, Falcone GJ, Payabvash S. Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults. Stroke Vasc Neurol 2023; 8:358-367. [PMID: 36878613 PMCID: PMC10647862 DOI: 10.1136/svn-2022-001929] [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: 08/11/2022] [Accepted: 02/13/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND AND OBJECTIVES We aimed to investigate the white matter (WM) microstructural/cytostructural disintegrity patterns related to higher systolic blood pressure (SBP), and whether they mediate SBP effects on cognitive performance in middle-aged adults. METHODS Using the UK Biobank study of community-dwelling volunteers aged 40-69 years, we included participants without a history of stroke, dementia, demyelinating disease or traumatic brain injury. We investigated the association of SBP with MRI diffusion metrics: fractional anisotropy (FA), mean diffusivity (MD), intracellular volume fraction (a measure of neurite density), isotropic (free) water volume fraction (ISOVF) and orientation dispersion across WM tracts. Then, we determined whether WM diffusion metrics mediated the effects of SBP on cognitive function. RESULTS We analysed 31 363 participants-mean age of 63.8 years (SD: 7.7), and 16 523 (53%) females. Higher SBP was associated with lower FA and neurite density, but higher MD and ISOVF. Among different WM tracts, diffusion metrics of the internal capsule anterior limb, external capsule, superior and posterior corona radiata were most affected by higher SBP. Among seven cognitive metrics, SBP levels were only associated with 'fluid intelligence' (adjusted p<0.001). In mediation analysis, the averaged FA of external capsule, internal capsule anterior limb and superior cerebellar peduncle mediated 13%, 9% and 13% of SBP effects on fluid intelligence, while the averaged MD of external capsule, internal capsule anterior and posterior limbs, and superior corona radiata mediated 5%, 7%, 7% and 6% of SBP effects on fluid intelligence, respectively. DISCUSSION Among asymptomatic adults, higher SBP is associated with pervasive WM microstructure disintegrity, partially due to reduced neuronal count, which appears to mediate SBP adverse effects on fluid intelligence. Diffusion metrics of select WM tracts, which are most reflective of SBP-related parenchymal damage and cognitive impairment, may serve as imaging biomarkers to assess treatment response in antihypertensive trials.
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Affiliation(s)
- Julián N Acosta
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Stefan P Haider
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Otorhinolaryngology, Ludwig Maximilians University Munich, Munchen, Germany
| | - Cyprien Rivier
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Audrey C Leasure
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Kevin N Sheth
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Guido J Falcone
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Seyedmehdi Payabvash
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
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8
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Li B, Yabluchanskiy A, Tarantini S, Allu SR, Şencan-Eğilmez I, Leng J, Alfadhel MAH, Porter JE, Fu B, Ran C, Erdener SE, Boas DA, Vinogradov SA, Sonntag WE, Csiszar A, Ungvari Z, Sakadžić S. Measurements of cerebral microvascular blood flow, oxygenation, and morphology in a mouse model of whole-brain irradiation-induced cognitive impairment by two-photon microscopy and optical coherence tomography: evidence for microvascular injury in the cerebral white matter. GeroScience 2023; 45:1491-1510. [PMID: 36792820 PMCID: PMC10400746 DOI: 10.1007/s11357-023-00735-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/17/2023] [Indexed: 02/17/2023] Open
Abstract
Whole-brain irradiation (WBI, also known as whole-brain radiation therapy) is a mainstay treatment modality for patients with multiple brain metastases. It is also used as a prophylactic treatment for microscopic tumors that cannot be detected by magnetic resonance imaging. WBI induces a progressive cognitive decline in ~ 50% of the patients surviving over 6 months, significantly compromising the quality of life. There is increasing preclinical evidence that radiation-induced injury to the cerebral microvasculature and accelerated neurovascular senescence plays a central role in this side effect of WBI. To better understand this side effect, male C57BL/6 mice were first subjected to a clinically relevant protocol of fractionated WBI (5 Gy, two doses per week, for 4 weeks). Nine months post the WBI treatment, we applied two-photon microscopy and Doppler optical coherence tomography to measure capillary red-blood-cell (RBC) flux, capillary morphology, and microvascular oxygen partial pressure (PO2) in the cerebral somatosensory cortex in the awake, head-restrained, WPI-treated mice and their age-matched controls, through a cover-glass-sealed chronic cranial window. Thanks to the extended penetration depth with the fluorophore - Alexa680, measurements of capillary blood flow properties (e.g., RBC flux, speed, and linear density) in the cerebral subcortical white matter were enabled. We found that the WBI-treated mice exhibited a significantly decreased capillary RBC flux in the white matter. WBI also caused a significant reduction in capillary diameter, as well as a large (although insignificant) reduction in segment density at the deeper cortical layers (e.g., 600-700 μm), while the other morphological properties (e.g., segment length and tortuosity) were not obviously affected. In addition, we found that PO2 measured in the arterioles and venules, as well as the calculated oxygen saturation and oxygen extraction fraction, were not obviously affected by WBI. Lastly, WBI was associated with a significant increase in the erythrocyte-associated transients of PO2, while the changes of other cerebral capillary PO2 properties (e.g., capillary mean-PO2, RBC-PO2, and InterRBC-PO2) were not significant. Collectively, our findings support the notion that WBI results in persistent cerebral white matter microvascular impairment, which likely contributes to the WBI-induced brain injury and cognitive decline. Further studies are warranted to assess the WBI-induced changes in brain tissue oxygenation and malfunction of the white matter microvasculature as well.
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Affiliation(s)
- Baoqiang Li
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, China
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Stefano Tarantini
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, 1083, Hungary
| | - Srinivasa Rao Allu
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ikbal Şencan-Eğilmez
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
- Biophotonics Research Center, Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Ji Leng
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, China
| | - Mohammed Ali H Alfadhel
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Jason E Porter
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Buyin Fu
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Chongzhao Ran
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Sefik Evren Erdener
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA
| | - David A Boas
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA
| | - Sergei A Vinogradov
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - William E Sonntag
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Anna Csiszar
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Translational Medicine, Semmelweis University, Budapest, 1083, Hungary
| | - Zoltan Ungvari
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, 1083, Hungary.
| | - Sava Sakadžić
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
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9
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Chen Y, Wang Y, Song Z, Fan Y, Gao T, Tang X. Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review. Ageing Res Rev 2023; 87:101911. [PMID: 36931328 DOI: 10.1016/j.arr.2023.101911] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 03/01/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023]
Abstract
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals. Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further development to dementia (d-AD) are considered to be major stages of the progressive pathological development of AD. Diffusion tensor imaging (DTI), one of the most important modalities of MRI, can describe the microstructure of white matter through its tensor model. It is widely used in understanding the central nervous system mechanism and finding appropriate potential biomarkers for the early stages of AD. Based on the multilevel analysis methods of DTI (voxelwise, fiberwise and networkwise), we summarized that AD patients mainly showed extensive microstructural damage, structural disconnection and topological abnormalities in the corpus callosum, fornix, and medial temporal lobe, including the hippocampus and cingulum. The diffusion features and structural connectomics of specific regions can provide information for the early assisted recognition of AD. The classification accuracy of SCD and normal controls can reach 92.68% at present. And due to the further changes of brain structure and function, the classification accuracy of MCI, d-AD and normal controls can reach more than 97%. Finally, we summarized the limitations of current DTI-based AD research and propose possible future research directions.
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Affiliation(s)
- Yu Chen
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Yifei Wang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Zeyu Song
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Yingwei Fan
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Tianxin Gao
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
| | - Xiaoying Tang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China; School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
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10
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Gaudreault PO, King SG, Malaker P, Alia-Klein N, Goldstein RZ. Whole-brain white matter abnormalities in human cocaine and heroin use disorders: association with craving, recency, and cumulative use. Mol Psychiatry 2023; 28:780-791. [PMID: 36369361 PMCID: PMC9911401 DOI: 10.1038/s41380-022-01833-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022]
Abstract
Neuroimaging studies in substance use disorder have shown widespread impairments in white matter (WM) microstructure suggesting demyelination and axonal damage. However, substantially fewer studies explored the generalized vs. the acute and/or specific drug effects on WM. Our study assessed whole-brain WM integrity in three subgroups of individuals addicted to drugs, encompassing those with cocaine (CUD) or heroin (HUD) use disorder, compared to healthy controls (CTL). Diffusion MRI was acquired in 58 CTL, 28 current cocaine users/CUD+, 32 abstinent cocaine users/CUD-, and 30 individuals with HUD (urine was positive for cocaine in CUD+ and opiates used for treatment in HUD). Tract-Based Spatial Statistics allowed voxelwise analyses of diffusion metrics [fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD)]. Permutation statistics (p-corrected < 0.05) were used for between-group t-tests. Compared to CTL, all individuals with addiction showed widespread decreases in FA, and increases in MD, RD, and AD (19-57% of WM skeleton, p < 0.05). The HUD group showed the most impairments, followed by the CUD+, with only minor FA reductions in CUD- (<0.2% of WM skeleton, p = 0.05). Longer periods of regular use were associated with decreased FA and AD, and higher subjective craving was associated with increased MD, RD, and AD, across all individuals with drug addiction (p < 0.05). These findings demonstrate extensive WM impairments in individuals with drug addiction characterized by decreased anisotropy and increased diffusivity, thought to reflect demyelination and lower axonal packing. Extensive abnormalities in both groups with positive urine status (CUD+ and HUD), and correlations with craving, suggest greater WM impairments with more recent use. Results in CUD-, and correlations with regular use, further imply cumulative and/or persistent WM damage.
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Affiliation(s)
- Pierre-Olivier Gaudreault
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Sarah G King
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Pias Malaker
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Nelly Alia-Klein
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Rita Z Goldstein
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
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11
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Liu J, Liu Z, Wei Y, Zhang Y, Womer FY, Jia D, Wei S, Wu F, Kong L, Jiang X, Zhang L, Tang Y, Zhang X, Wang F. Combinatorial panel with endophenotypes from multilevel information of diffusion tensor imaging and lipid profile as predictors for depression. Aust N Z J Psychiatry 2022; 56:1187-1198. [PMID: 35632993 DOI: 10.1177/00048674211031477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Clinical heterogeneity in major depressive disorder likely reflects the range of etiology and contributing factors in the disorder, such as genetic risk. Identification of more refined subgroups based on biomarkers such as white matter integrity and lipid-related metabolites could facilitate precision medicine in major depressive disorder. METHODS A total of 148 participants (15 genetic high-risk participants, 57 patients with first-episode major depressive disorder and 76 healthy controls) underwent diffusion tensor imaging and plasma lipid profiling. Alterations in white matter integrity and lipid metabolites were identified in genetic high-risk participants and patients with first-episode major depressive disorder. Then, shared alterations between genetic high-risk and first-episode major depressive disorder were used to develop an imaging x metabolite diagnostic panel for genetically based major depressive disorder via factor analysis and logistic regression. A fivefold cross-validation test was performed to evaluate the diagnostic panel. RESULTS Alterations of white matter integrity in corona radiata, superior longitudinal fasciculus and the body of corpus callosum and dysregulated unsaturated fatty acid metabolism were identified in both genetic high-risk participants and patients with first-episode major depressive disorder. An imaging x metabolite diagnostic panel, consisting of measures for white matter integrity and unsaturated fatty acid metabolism, was identified that achieved an area under the receiver operating characteristic curve of 0.86 and had a significantly higher diagnostic performance than that using either measure alone. And cross-validation confirmed the adequate reliability and accuracy of the diagnostic panel. CONCLUSION Combining white matter integrity in corpus callosum, superior longitudinal fasciculus and corona radiata, and unsaturated fatty acid profile may improve the identification of genetically based endophenotypes in major depressive disorder to advance precision medicine strategies.
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Affiliation(s)
- Juan Liu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, PR China
| | - Zhuang Liu
- School of Public health, China Medical University, Shenyang, Liaoning, PR China
| | - Yange Wei
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, PR China
| | - Yanbo Zhang
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
| | - Fay Y Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Duan Jia
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, PR China
| | - Shengnan Wei
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Xiaowei Jiang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Luheng Zhang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, PR China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Xizhe Zhang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, PR China.,Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, Jiangsu, PR China.,School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, PR China
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, PR China.,Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, Jiangsu, PR China
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12
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Abramowicz K, Pini A, Schelin L, de Luna SS, Stamm A, Vantini S. Domain selection and family-wise error rate for functional data: a unified framework. Biometrics 2022. [PMID: 35352337 DOI: 10.1111/biom.13669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 03/23/2022] [Indexed: 11/26/2022]
Abstract
Functional data are smooth, often continuous, random curves, which can be seen as an extreme case of multivariate data with infinite dimensionality. Just as component-wise inference for multivariate data naturally performs feature selection, subset-wise inference for functional data performs domain selection. In this paper, we present a unified testing framework for domain selection on populations of functional data. In detail, p-values of hypothesis tests performed on point-wise evaluations of functional data are suitably adjusted for providing a control of the family-wise error rate (FWER) over a family of subsets of the domain. We show that several state-of-the-art domain selection methods fit within this framework and differ from each other by the choice of the family over which the control of the FWER is provided. In the existing literature, these families are always defined a priori. In this work, we also propose a novel approach, coined threshold-wise testing, in which the family of subsets is instead built in a data-driven fashion. The method seamlessly generalizes to multidimensional domains in contrast to methods based on a-priori defined families. We provide theoretical results with respect to consistency and control of the FWER for the methods within the unified framework. We illustrate the performance of the methods within the unified framework on simulated and real data examples, and compare their performance with other existing methods. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Konrad Abramowicz
- Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden
| | - Alessia Pini
- Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Lina Schelin
- Department of Statistics, Umeå School of Business, Economics and Statistics, UmeåUniversity, Umeå, Sweden
| | - Sara Sjöstedt de Luna
- Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden
| | - Aymeric Stamm
- Department of Mathematics Jean Leray, UMR CNRS 6629, Nantes University, Nantes, France
| | - Simone Vantini
- MOX - Modelling and Scientific Computing Laboratory, Department of Mathematics, Politecnico di Milano, Milan, Italy
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13
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Buss N, Lanigan L, Zeller J, Cissell D, Metea M, Adams E, Higgins M, Kim KH, Budzynski E, Yang L, Liu Y, Butt M, Danos O, Fiscella M. Characterization of AAV-mediated dorsal root ganglionopathy. Mol Ther Methods Clin Dev 2022; 24:342-354. [PMID: 35229008 PMCID: PMC8851102 DOI: 10.1016/j.omtm.2022.01.013] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/27/2022] [Indexed: 12/12/2022]
Abstract
Recent studies in non-human primates administered recombinant adeno-associated viruses (rAAVs) have shown lesions in the dorsal root ganglia (DRG) of unknown pathogenesis. In this study, rAAV9s manufactured using different purification methods alongside a non-expressing Null AAV9 vector was administered to groups of cynomolgus monkeys followed by neuropathological evaluation after 4 weeks. Lesions, including neuronal degeneration, increased cellularity, and nerve fiber degeneration, were observed in the DRG, regardless of purification methods. Animals did not develop any neurological signs throughout the study, and there was no loss of function observed in neuro-electrophysiological endpoints or clear effects on intraepidermal nerve fiber density. However, magnetic resonance imaging (MRI) of animals with axonopathy showed an increase in short tau inversion recovery (STIR) intensity and decrease in fractional anisotropy. In animals administered the Null AAV9 vector, DRG lesions were not observed despite vector DNA being detected in the DRG at levels equivalent to or greater than rAAV9-treated animals. This study further supports that DRG toxicity is associated with transgene overexpression in DRGs, with particular sensitivity at the lumbar and lumbosacral level. The data from this study also showed that the nerve fiber degeneration did not correlate with any functional effect on nerve conduction but was detectable by MRI.
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Affiliation(s)
| | | | | | | | - Monica Metea
- Preclinical Electrophysiology Consulting, Mattapoisett, MA 02739, USA
| | | | | | | | | | - Lin Yang
- REGENXBIO, Rockville, MD 20850, USA
| | - Ye Liu
- REGENXBIO, Rockville, MD 20850, USA
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14
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Latini F, Fahlström M, Fällmar D, Marklund N, Cunningham JL, Feresiadou A. Can diffusion tensor imaging (DTI) outperform standard magnetic resonance imaging (MRI) investigations in post-COVID-19 autoimmune encephalitis? Ups J Med Sci 2022; 127:8562. [PMID: 35722186 PMCID: PMC9169543 DOI: 10.48101/ujms.v127.8562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 04/07/2022] [Accepted: 04/07/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Neurological and psychiatric manifestations related to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection are widely recognised. Standard magnetic resonance imaging (MRI) investigations are normal in 40-80% of symptomatic patients, eventually delaying appropriate treatment when MRI is unrevealing any structural changes. The aim of this study is to investigate white matter abnormalities during an early stage of post-COVID-19 (coronavirus disease 2019) encephalitis while conventional MRI was normal. METHODS A patient with post-COVID-19 autoimmune encephalitis was investigated by serial MRIs and diffusion tensor imaging (DTI). Ten healthy control individuals (HC) were utilised as a control group for the DTI analysis. Major projection, commissural and association white matter pathways were reconstructed, and multiple diffusion parameters were analysed and then compared to the HC average using a z-test for serial examinations. RESULTS Eleven days after the onset of neurological symptoms, DTI revealed early white matter changes, compared with HC, when standard MRI was normal. On day 68, DTI showed multiple white matter lesions compared with HC, visible at this time also by the MRI images, indicating inflammatory changes in different association and projection white matter pathways. CONCLUSION We confirm a limitation in the sensitivity of conventional MRI at the acute setting of post-COVID-19 autoimmune encephalitis. A complementary DTI investigation could be a valuable diagnostic tool in early therapeutic decisions concerning COVID-19-related neurological symptoms.
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Affiliation(s)
- Francesco Latini
- Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Markus Fahlström
- Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - David Fällmar
- Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Niklas Marklund
- Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Neurosurgery, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden
| | - Janet L. Cunningham
- Psychiatry, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Amalia Feresiadou
- Neurology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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15
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Sairanen V, Ocampo-Pineda M, Granziera C, Schiavi S, Daducci A. Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses. Neuroimage 2021; 247:118802. [PMID: 34896584 DOI: 10.1016/j.neuroimage.2021.118802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 11/01/2021] [Accepted: 12/09/2021] [Indexed: 11/28/2022] Open
Abstract
The white matter structures of the human brain can be represented using diffusion-weighted MRI tractography. Unfortunately, tractography is prone to find false-positive streamlines causing a severe decline in its specificity and limiting its feasibility in accurate structural brain connectivity analyses. Filtering algorithms have been proposed to reduce the number of invalid streamlines but the currently available filtering algorithms are not suitable to process data that contains motion artefacts which are typical in clinical research. We augmented the Convex Optimization Modelling for Microstructure Informed Tractography (COMMIT) algorithm to adjust for these signals drop-out motion artefacts. We demonstrate with comprehensive Monte-Carlo whole brain simulations and in vivo infant data that our robust algorithm is capable of properly filtering tractography reconstructions despite these artefacts. We evaluated the results using parametric and non-parametric statistics and our results demonstrate that if not accounted for, motion artefacts can have severe adverse effects in human brain structural connectivity analyses as well as in microstructural property mappings. In conclusion, the usage of robust filtering methods to mitigate motion related errors in tractogram filtering is highly beneficial, especially in clinical studies with uncooperative patient groups such as infants. With our presented robust augmentation and open-source implementation, robust tractogram filtering is readily available.
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Affiliation(s)
- Viljami Sairanen
- Department of Computer Science, University of Verona, Verona, Italy; Translational Imaging in Neurology, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Neurologic Clinic and Policlinic, Basel, Switzerland; BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
| | | | - Cristina Granziera
- Translational Imaging in Neurology, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Neurologic Clinic and Policlinic, Basel, Switzerland
| | - Simona Schiavi
- Department of Computer Science, University of Verona, Verona, Italy
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16
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Same Brain, Different Look?-The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters. J Clin Med 2021; 10:jcm10214987. [PMID: 34768507 PMCID: PMC8584364 DOI: 10.3390/jcm10214987] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/21/2021] [Accepted: 10/23/2021] [Indexed: 11/17/2022] Open
Abstract
In clinical diagnostics and longitudinal studies, the reproducibility of MRI assessments is of high importance in order to detect pathological changes, but developments in MRI hard- and software often outrun extended periods of data acquisition and analysis. This could potentially introduce artefactual changes or mask pathological alterations. However, if and how changes of MRI hardware, scanning protocols or preprocessing software affect complex neuroimaging outcomes from, e.g., diffusion weighted imaging (DWI) remains largely understudied. We therefore compared DWI outcomes and artefact severity of 121 healthy participants (age range 19–54 years) who underwent two matched DWI protocols (Siemens product and Center for Magnetic Resonance Research sequence) at two sites (Siemens 3T Magnetom Verio and Skyrafit). After different preprocessing steps, fractional anisotropy (FA) and mean diffusivity (MD) maps, obtained by tensor fitting, were processed with tract-based spatial statistics (TBSS). Inter-scanner and inter-sequence variability of skeletonised FA values reached up to 5% and differed largely in magnitude and direction across the brain. Skeletonised MD values differed up to 14% between scanners. We here demonstrate that DTI outcome measures strongly depend on imaging site and software, and that these biases vary between brain regions. These regionally inhomogeneous biases may exceed and considerably confound physiological effects such as ageing, highlighting the need to harmonise data acquisition and analysis. Future studies thus need to implement novel strategies to augment neuroimaging data reliability and replicability.
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17
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Liu L, Li Z, Zhang Z, Xia Y, Li S, Gao S. Optimal Diffusion Gradient Encoding Scheme for Diffusion Tensor Imaging Based on Golden Ratio. J Magn Reson Imaging 2021; 55:1571-1581. [PMID: 34592036 DOI: 10.1002/jmri.27943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/17/2021] [Accepted: 09/17/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND The accuracy of the estimated diffusion tensor elements can be improved by using a well-chosen magnetic resonance imaging (MRI) diffusion gradient encoding scheme (DGES). Conversely, diffusion tensor imaging (DTI) is typically challenged by the subject's motion during data acquisition and results in corrupted image data. PURPOSE To identify a reliable DGES based on the golden ratio (GR) that can generate an arbitrary number of uniformly distributed directions to precisely estimate the DTI parameters of partially acquired datasets owing to subject motion. STUDY TYPE Prospective. POPULATION Simulations study; three healthy volunteers. FIELD STRENGTH/SEQUENCE 3 T/DTI data were obtained using a single-shot echo planar imaging sequence. STATISTICAL TESTS A paired sample t-test and the Wilcoxon test were used, P < 0.05 was considered statistically significant. ASSESSMENT Two corrupted scenarios A and B were considered and evaluated. For the simulation study, the GR DGES and generated subsets were compared with the Jones and spiral DGESs by electric potential (EP) and condition number (CN). For the human study, the specific subsets A and B selected from scenarios A and B were used for MRI to evaluate fractional anisotropic (FA) map. RESULTS For the simulation study, the EPs of the GR (14034.25 ± 12957.24) DGES were significantly lower than the Jones (15112.81 ± 13926.08) and spiral (14297.49 ± 13232.94) DGESs. CN variations of GR (1.633 ± 0.024) DGES were significantly lower than Jones (1.688 ± 0.119) and spiral (4.387 ± 2.915) DGESs. For the human study, GR (0.008 ± 0.020) DGES performed similarly with Jones (0.008 ± 0.022) DGES and was superior to spiral (0.022 ± 0.054) DGES in the FA map error. DATA CONCLUSION The GR DGES ensured that directions of the complete sets and subsets were uniform. The GR DGES had lower error propagation sensitivity, which can help image infants or patients who cannot stay still during scanning. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Liangyou Liu
- Institute of Medical Technology, Peking University, Beijing, China
| | - Zhaotong Li
- Institute of Medical Technology, Peking University, Beijing, China
| | - Zeru Zhang
- Institute of Medical Technology, Peking University, Beijing, China
| | - Yifan Xia
- Institute of Medical Technology, Peking University, Beijing, China
| | - Sha Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute, Beijing, China
| | - Song Gao
- Institute of Medical Technology, Peking University, Beijing, China
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18
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Spencer APC, Byrne H, Lee-Kelland R, Jary S, Thoresen M, Cowan FM, Chakkarapani E, Brooks JCW. An Age-Specific Atlas for Delineation of White Matter Pathways in Children Aged 6-8 Years. Brain Connect 2021; 12:402-416. [PMID: 34210166 PMCID: PMC7612846 DOI: 10.1089/brain.2021.0058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Introduction Diffusion MRI allows non-invasive assessment of white matter connectivity in typical development and of changes due to brain injury or pathology. Probabilistic white matter atlases allow diffusion metrics to be measured in specific white matter pathways, and are a critical component in spatial normalisation for group analysis. However, given the known developmental changes in white matter it may be sub-optimal to use an adult template when assessing data acquired from children. Methods By averaging subject-specific fibre bundles from 28 children aged from 6 to 8 years, we created an age-specific probabilistic white matter atlas for 12 major white matter tracts. Using both the newly developed and Johns Hopkins adult atlases, we compared the atlas to subject-specific fibre bundles in two independent validation cohorts, assessing accuracy in terms of volumetric overlap and measured diffusion metrics. Results Our age-specific atlas gave better overall performance than the adult atlas, achieving higher volumetric overlap with subject-specific fibre tracking and higher correlation of FA measurements with those measured from subject-specific fibre bundles. Specifically, estimates of FA values for cortico-spinal tract, uncinate fasciculus, forceps minor, cingulate gyrus part of the cingulum and anterior thalamic radiation were all significantly more accurate when estimated with an age-specific atlas. Discussion The age-specific atlas allows delineation of white matter tracts in children aged 6-8 years, without the need for tractography, more accurately than when normalising to an adult atlas. To our knowledge, this is the first publicly available probabilistic atlas of white matter tracts for this age group.
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Affiliation(s)
- Arthur P C Spencer
- Clinical Research and Imaging Centre, University of Bristol, Bristol, United Kingdom.,Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Hollie Byrne
- Clinical Research and Imaging Centre, University of Bristol, Bristol, United Kingdom
| | - Richard Lee-Kelland
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sally Jary
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Marianne Thoresen
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.,Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Frances M Cowan
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.,Department of Paediatrics, Imperial College London, London, United Kingdom
| | - Ela Chakkarapani
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Jonathan C W Brooks
- Clinical Research and Imaging Centre, University of Bristol, Bristol, United Kingdom.,School of Psychology, University of East Anglia, Norwich, United Kingdom
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19
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Kim SE, Jung S, Sung G, Bang M, Lee SH. Impaired cerebro-cerebellar white matter connectivity and its associations with cognitive function in patients with schizophrenia. NPJ SCHIZOPHRENIA 2021; 7:38. [PMID: 34385473 PMCID: PMC8360938 DOI: 10.1038/s41537-021-00169-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/28/2021] [Indexed: 11/20/2022]
Abstract
Schizophrenia is a complex brain disorder of unknown etiology. Based on the notion of “cognitive dysmetria,” we aimed to investigate aberrations in structural white matter (WM) connectivity that links the cerebellum to cognitive dysfunction in patients with schizophrenia. A total of 112 participants (65 patients with schizophrenia and 47 healthy controls [HCs]) were enrolled and underwent diffusion tensor imaging. Between-group voxel-wise comparisons of cerebellar WM regions (superior/middle [MCP]/inferior cerebellar peduncle and pontine crossing fibers) were performed using Tract-Based Spatial Statistics. Cognitive function was assessed using the Trail Making Test Part A/B (TMT-A/B), Wisconsin Card Sorting Test (WCST), and Rey-Kim Memory Test in 46 participants with schizophrenia. WM connectivity, measured as fractional anisotropy (FA), was significantly lower in the MCP in participants with schizophrenia than in HCs. The mean FAs extracted from the significant MCP cluster were inversely correlated with poorer cognitive performance, particularly longer time to complete the TMB-B (r = 0.559, p < 0.001) and more total errors in the WCST (r = 0.442, p = 0.003). Our findings suggest that aberrant cerebro-cerebellar communication due to disrupted WM connectivity may contribute to cognitive impairments, a core characteristic of schizophrenia. Our results may expand our understanding of the neurobiology of schizophrenia based on the cerebro-cerebellar interconnectivity of the brain.
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Affiliation(s)
- Sung Eun Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Sungcheol Jung
- CHA University School of Medicine, Seongnam, Republic of Korea
| | - Gyhye Sung
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.,Department of Psychology, Korea University, Seoul, Republic of Korea
| | - Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
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20
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Neckel ND, Dai H, Hanckel J, Lee Y, Albanese C, Rodriguez O. Skilled reach training enhances robotic gait training to restore overground locomotion following spinal cord injury in rats. Behav Brain Res 2021; 414:113490. [PMID: 34358574 DOI: 10.1016/j.bbr.2021.113490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 07/23/2021] [Accepted: 07/25/2021] [Indexed: 10/20/2022]
Abstract
Rehabilitative training has been shown to improve motor function following spinal cord injury (SCI). Unfortunately, these gains are primarily task specific; where reach training only improves reaching, step training only improves stepping and stand training only improves standing. More troublesome is the tendency that the improvement in a trained task often comes at the expense of an untrained task. However, the task specificity of training does not preclude the benefits of combined rehabilitative training. Here we show that robot assisted gait training alone can partially reduce the deficits in unassisted overground locomotion following a C4/5 overhemisection injury in rats. When robot-assisted gait training is done in conjunction with skilled forelimb training, we observe a much greater level of recovery of unassisted overground locomotion. In order to provide reach training that would not interfere with our robotic gait training schedule, we prompted rats to increase the use of their forelimbs by replacing the standard overhead feeder with a custom made, deep welled hopper that dispensed nutritionally equivalent small milled pellets. We speculate that the increase in recovery from combined training is due to a more robust interneuronal relay network around the injury site. in vivo manganese-enhanced magnetic resonance imaging of the spinal cord indicated that there was no increase in the cellular activity, however ex vivo diffusion tensor imaging (DTI) suggested an increase in collateralization around the injury site in rats that received both reach training and robot assisted gait training.
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Affiliation(s)
- Nathan D Neckel
- Department of Neuroscience, Georgetown University, United States; Department of Rehabilitation Medicine, Georgetown University, United States.
| | - Haining Dai
- Department of Neuroscience, Georgetown University, United States
| | - John Hanckel
- Department of Neuroscience, Georgetown University, United States
| | - Yichien Lee
- Department of Oncology, Georgetown University, United States; Center for Translational Imaging, Georgetown University, United States
| | - Christopher Albanese
- Department of Oncology, Georgetown University, United States; Center for Translational Imaging, Georgetown University, United States
| | - Olga Rodriguez
- Department of Oncology, Georgetown University, United States; Center for Translational Imaging, Georgetown University, United States
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21
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Mani M, Magnotta VA, Jacob M. qModeL: A plug-and-play model-based reconstruction for highly accelerated multi-shot diffusion MRI using learned priors. Magn Reson Med 2021; 86:835-851. [PMID: 33759240 PMCID: PMC8076086 DOI: 10.1002/mrm.28756] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 01/19/2023]
Abstract
PURPOSE To introduce a joint reconstruction method for highly undersampled multi-shot diffusion weighted (msDW) scans. METHODS Multi-shot EPI methods enable higher spatial resolution for diffusion MRI, but at the expense of long scan-time. Highly accelerated msDW scans are needed to enable their utilization in advanced microstructure studies, which require high q-space coverage. Previously, joint k-q undersampling methods coupled with compressed sensing were shown to enable very high acceleration factors. However, the reconstruction of this data using sparsity priors is challenging and is not suited for multi-shell data. We propose a new reconstruction that recovers images from the combined k-q data jointly. The proposed qModeL reconstruction brings together the advantages of model-based iterative reconstruction and machine learning, extending the idea of plug-and-play algorithms. Specifically, qModeL works by prelearning the signal manifold corresponding to the diffusion measurement space using deep learning. The prelearned manifold prior is incorporated into a model-based reconstruction to provide a voxel-wise regularization along the q-dimension during the joint recovery. Notably, the learning does not require in vivo training data and is derived exclusively from biophysical modeling. Additionally, a plug-and-play total variation denoising provides regularization along the spatial dimension. The proposed framework is tested on k-q undersampled single-shell and multi-shell msDW acquisition at various acceleration factors. RESULTS The qModeL joint reconstruction is shown to recover DWIs from 8-fold accelerated msDW acquisitions with error less than 5% for both single-shell and multi-shell data. Advanced microstructural analysis performed using the undersampled reconstruction also report reasonable accuracy. CONCLUSION qModeL enables the joint recovery of highly accelerated multi-shot dMRI utilizing learning-based priors. The bio-physically driven approach enables the use of accelerated multi-shot imaging for multi-shell sampling and advanced microstructure studies.
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Affiliation(s)
- Merry Mani
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | | | - Mathews Jacob
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa
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22
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Single-direction diffusion-weighted imaging may be a simple complementary sequence for evaluating fetal corpus callosum. Eur Radiol 2021; 32:1135-1143. [PMID: 34331117 DOI: 10.1007/s00330-021-08176-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/20/2021] [Accepted: 06/20/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To explore the feasibility of single-direction diffusion-weighted imaging (DWI) for assessing the fetal corpus callosum (CC). METHODS This prospective study included 67 fetuses with normal CC and 35 fetuses suspected with agenesis of the corpus callosum (ACC). The MR protocols included HASTE, TrueFISP, and single-direction DWI. Two radiologists independently evaluated the optimal visibility and the contrast ratio (CR) of the normal fetal CC. The Chi-squared test or Fisher's exact test was used to compare the proportions of "good" visibility (score ≥ 3, and the CC was almost/entirely visible) between single-direction DWI and HASTE/TrueFISP. The CR difference between single-direction DWI and HASTE/TrueFISP was detected using the paired t-test. The diagnostic accuracies were determined by comparison with postnatal imaging. In fetuses suspected of ACC, we measured and compared the length and area of the mid-sagittal CC in the single-direction DWI images. RESULTS The proportion of "good" visibility in single-direction DWI was higher than that in HASTE/TrueFISP, with p < 0.0001. The mean CR from single-direction DWI was also higher than that of TrueFISP and HASTE (both with p < 0.0001). The diagnostic accuracy of the single-direction DWI combined with HASTE/TrueFisp (97.1%, 34/35) was higher than that of the Haste/TrueFISP (74.3%, 26/35) (p = 0.013). The length and area of the PACC (p < 0.001, p = 0.001, respectively) and HCC (p < 0.001, p = 0.018, respectively) groups were significantly lower than those of the normal group. CONCLUSIONS The single-direction DWI is feasible in displaying fetal CC and can be a complementary sequence in diagnosing ACC. KEY POINTS • We suggest a simple method for the display of the fetal CC. • The optimal visibility and contrast ratio from single-direction DWI were higher than those from HASTE and TrueFISP. • The diagnostic accuracy of the single-direction DWI combined with HASTE/TrueFISP sequences (97.1%, 34/35) was higher than that of the Haste/TrueFISP (74.3%, 26/35).
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23
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Turner S, Lazarus R, Marion D, Main KL. Molecular and Diffusion Tensor Imaging Biomarkers of Traumatic Brain Injury: Principles for Investigation and Integration. J Neurotrauma 2021; 38:1762-1782. [PMID: 33446015 DOI: 10.1089/neu.2020.7259] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The last 20 years have seen the advent of new technologies that enhance the diagnosis and prognosis of traumatic brain injury (TBI). There is recognition that TBI affects the brain beyond initial injury, in some cases inciting a progressive neuropathology that leads to chronic impairments. Medical researchers are now searching for biomarkers to detect and monitor this condition. Perhaps the most promising developments are in the biomolecular and neuroimaging domains. Molecular assays can identify proteins indicative of neuronal injury and/or degeneration. Diffusion imaging now allows sensitive evaluations of the brain's cellular microstructure. As the pace of discovery accelerates, it is important to survey the research landscape and identify promising avenues of investigation. In this review, we discuss the potential of molecular and diffusion tensor imaging (DTI) biomarkers in TBI research. Integration of these technologies could advance models of disease prognosis, ultimately improving care. To date, however, few studies have explored relationships between molecular and DTI variables in patients with TBI. Here, we provide a short primer on each technology, review the latest research, and discuss how these biomarkers may be incorporated in future studies.
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Affiliation(s)
- Stephanie Turner
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
| | - Rachel Lazarus
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
| | - Donald Marion
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
| | - Keith L Main
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
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Abstract
PURPOSE OF REVIEW To synthesize findings from studies of neurocognitive complications in children with type 1 diabetes (T1D) and highlight potential risk and protective factors. RECENT FINDINGS Emerging evidence suggests that hyperglycemia and time in range may be more important for brain development than episodes of hypoglycemia. Further, diabetic ketoacidosis (DKA) at the time of T1D diagnosis appears to be a particular risk factor for neurocognitive complications, particularly deficits in executive function skills and memory, with differences in cerebral white matter microstructure seen via advanced magnetic resonance imaging methods, and lower scores on measures of attention and memory observed among children who were diagnosed in DKA. Other factors that may influence neurocognitive development include child sleep, caregiver distress, and diabetes device use, presumably due to improved glycemic control. We highlight neurocognitive risk and protective factors for children with T1D and priorities for future research in this high-risk population.
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Affiliation(s)
- Sarah S Jaser
- Department of Pediatrics, Vanderbilt University Medical Center, 2525 West End Ave., Suite 1200, Nashville, TN, 37203, USA.
| | - Lori C Jordan
- Department of Pediatrics, Vanderbilt University Medical Center, 2525 West End Ave., Suite 1200, Nashville, TN, 37203, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Radiology and Radiological Science, Vanderbilt University Medical Center, Nashville, TN, USA
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25
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Mapping the living mouse brain neural architecture: strain-specific patterns of brain structural and functional connectivity. Brain Struct Funct 2021; 226:647-669. [PMID: 33635426 DOI: 10.1007/s00429-020-02190-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 11/27/2020] [Indexed: 10/22/2022]
Abstract
Mapping brain structural and functional connectivity (FC) became an essential approach in neuroscience as network properties can underlie behavioral phenotypes. In mouse models, revealing strain-related patterns of brain wiring is crucial, since these animals are used to answer questions related to neurological or neuropsychiatric disorders. C57BL/6 and BALB/cJ strains are two of the primary "genetic backgrounds" for modeling brain disease and testing therapeutic approaches. However, extensive literature describes basal differences in the behavioral, neuroanatomical and neurochemical profiles of the two strains, which raises questions on whether the observed effects are pathology specific or depend on the genetic background of each strain. Here, we performed a systematic comparative exploration of brain structure and function of C57BL/6 and BALB/cJ mice using Magnetic Resonance Imaging (MRI). We combined deformation-based morphometry (DBM), diffusion MRI and high-resolution fiber mapping (hrFM) along with resting-state functional MRI (rs-fMRI) and demonstrated brain-wide differences in the morphology and "connectome" features of the two strains. Essential inter-strain differences were depicted regarding the size and the fiber density (FD) within frontal cortices, along cortico-striatal, thalamic and midbrain pathways as well as genu and splenium of corpus callosum. Structural dissimilarities were accompanied by specific FC patterns, emphasizing strain differences in frontal and basal forebrain functional networks as well as hubness characteristics. Rs-fMRI data further indicated differences of reward-aversion circuitry and default mode network (DMN) patterns. The inter-hemispherical FC showed flexibility and strain-specific adjustment of their patterns in agreement with the structural characteristics.
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26
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Liu X, Du L, Zhang B, Zhao Z, Gao W, Liu B, Liu J, Chen Y, Wang Y, Yu H, Ma G. Alterations and Associations Between Magnetic Susceptibility of the Basal Ganglia and Diffusion Properties in Alzheimer's Disease. Front Neurosci 2021; 15:616163. [PMID: 33664645 PMCID: PMC7921325 DOI: 10.3389/fnins.2021.616163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 01/12/2021] [Indexed: 11/28/2022] Open
Abstract
This study adopted diffusion tensor imaging to detect alterations in the diffusion parameters of the white matter fiber in Alzheimer’s disease (AD) and used quantitative susceptibility mapping to detect changes in magnetic susceptibility. However, whether the changes of susceptibility values due to excessive iron in the basal ganglia have correlations with the alterations of the diffusion properties of the white matter in patients with AD are still unknown. We aim to investigate the correlations among magnetic susceptibility values of the basal ganglia, diffusion indexes of the white matter, and cognitive function in patients with AD. Thirty patients with AD and nineteen healthy controls (HCs) were recruited. Diffusion indexes of the whole brain were detected using tract-based spatial statistics. The caudate nucleus, putamen, and globus pallidus were selected as regions of interest, and their magnetic susceptibility values were measured. Compared with HCs, patients with AD showed that there were significantly increased axial diffusivity (AxD) in the internal capsule, superior corona radiata (SCR), and right anterior corona radiata (ACR); increased radial diffusivity (RD) in the right anterior limb of the internal capsule, ACR, and genu of the corpus callosum (GCC); and decreased fractional anisotropy (FA) in the right ACR and GCC. The alterations of RD values, FA values, and susceptibility values of the right caudate nucleus in patients with AD were correlated with cognitive scores. Besides, AxD values in the right internal capsule, ACR, and SCR were positively correlated with the magnetic susceptibility values of the right caudate nucleus in patients with AD. Our findings revealed that the magnetic susceptibility of the caudate nucleus may be an MRI-based biomarker of the cognitive dysfunction of AD and abnormal excessive iron distribution in the basal ganglia had adverse effects on the diffusion properties of the white matter.
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Affiliation(s)
- Xiuxiu Liu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Lei Du
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China.,Graduate School of Peking Union Medical College, Beijing, China
| | - Bing Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.,Institute of Brain Science, Nanjing University, Nanjing, China
| | - Zifang Zhao
- Department of Anesthesiology, Peking University First Hospital, Beijing, China
| | - Wenwen Gao
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Bing Liu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China.,Graduate School of Peking Union Medical College, Beijing, China
| | - Jian Liu
- Department of Ultrasound Diagnosis, China-Japan Friendship Hospital, Beijing, China
| | - Yue Chen
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Yige Wang
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China.,Graduate School of Peking Union Medical College, Beijing, China
| | - Hongwei Yu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Guolin Ma
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
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27
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Szczepankiewicz F, Westin CF, Nilsson M. Gradient waveform design for tensor-valued encoding in diffusion MRI. J Neurosci Methods 2021; 348:109007. [PMID: 33242529 PMCID: PMC8443151 DOI: 10.1016/j.jneumeth.2020.109007] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022]
Abstract
Diffusion encoding along multiple spatial directions per signal acquisition can be described in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks the 'shape of the b-tensor' as a new encoding dimension. By modulating the b-tensor shape, we can control the sensitivity to microscopic diffusion anisotropy which can be used as a contrast mechanism; a feature that is inaccessible by conventional diffusion encoding. Since imaging methods based on tensor-valued diffusion encoding are finding an increasing number of applications we are prompted to highlight the challenge of designing the optimal gradient waveforms for any given application. In this review, we first establish the basic design objectives in creating field gradient waveforms for tensor-valued diffusion MRI. We also survey additional design considerations related to limitations imposed by hardware and physiology, potential confounding effects that cannot be captured by the b-tensor, and artifacts related to the diffusion encoding waveform. Throughout, we discuss the expected compromises and tradeoffs with an aim to establish a more complete understanding of gradient waveform design and its impact on accurate measurements and interpretations of data.
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Affiliation(s)
- Filip Szczepankiewicz
- Radiology, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Clinical Sciences, Lund University, Lund, Sweden.
| | - Carl-Fredrik Westin
- Radiology, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
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28
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Lee HL, Zhou XA, Li Z, Chuang KH. Optimizing diffusion MRI acquisition efficiency of rodent brain using simultaneous multislice EPI. NMR IN BIOMEDICINE 2021; 34:e4398. [PMID: 32839964 DOI: 10.1002/nbm.4398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 06/11/2023]
Abstract
Diffusion tensor imaging (DTI) of the brain provides essential information on the white matter integrity and structural connectivity. However, it suffers from a low signal-to-noise ratio (SNR) and requires a long scan time to achieve high spatial and/or diffusion resolution and wide brain coverage. With recent advances in parallel and simultaneous multislice (multiband) imaging, the SNR efficiency has been improved by reducing the repetition time (TR ). However, due to the limited number of RF coil channels available on preclinical MRI scanners, simultaneous multislice acquisition has not been practical. In this study, we demonstrate the ability of multiband DTI to acquire high-resolution data of the mouse brain with 84 slices covering the whole brain in 0.2 mm isotropic resolution without a coil array at 9.4 T. Hadamard-encoding four-band pulses were used to acquire four slices simultaneously, with the reduction in the TR maximizing the SNR efficiency. To overcome shot-to-shot phase variations, Hadamard decoding with a self-calibrated phase was developed. Compared with single-band DTI acquired with the same scan time, the multiband DTI leads to significantly increased SNR by 40% in the white matter. This SNR gain resulted in reduced variations in fractional anisotropy, mean diffusivity, and eigenvector orientation. Furthermore, the cerebrospinal fluid signal was attenuated, leading to reduced free-water contamination. Without the need for a high-density coil array or parallel imaging, this technique enables highly efficient preclinical DTI that will facilitate connectome studies.
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Affiliation(s)
- Hsu-Lei Lee
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Xiaoqing Alice Zhou
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Zengmin Li
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Kai-Hsiang Chuang
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
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29
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Roelofs EF, Bas-Hoogendam JM, van Ewijk H, Ganjgahi H, van der Werff SJA, Barendse MEA, Westenberg PM, Vermeiren RRJM, van der Wee NJA. Investigating microstructure of white matter tracts as candidate endophenotypes of Social Anxiety Disorder - Findings from the Leiden Family Lab study on Social Anxiety Disorder (LFLSAD). NEUROIMAGE-CLINICAL 2020; 28:102493. [PMID: 33395984 PMCID: PMC7691726 DOI: 10.1016/j.nicl.2020.102493] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/29/2020] [Accepted: 11/01/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Social anxiety disorder (SAD) is a mental illness with a complex, partially genetic background. Differences in characteristics of white matter (WM) microstructure have been reported in patients with SAD compared to healthy controls. Also, WM characteristics are moderately to highly heritable. Endophenotypes are measurable characteristics on the road from genotype to phenotype, putatively reflective of genetically based disease mechanisms. In search of candidate endophenotypes of SAD we used a unique sample of SAD patients and their family members of two generations to explore microstructure of WM tracts as candidate endophenotypes. We focused on two endophenotype criteria: co-segregation with social anxiety within the families, and heritability. METHODS Participants (n = 94 from 8 families genetically vulnerable for SAD) took part in the Leiden Family Lab Study on Social Anxiety Disorder (LFLSAD). We employed tract-based spatial statistics to examine structural WM characteristics, being fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD) and radial diffusivity (RD), in three a-priori defined tracts of interest: uncinate fasciculus (UF), superior longitudinal fasciculus (SLF) and inferior longitudinal fasciculus (ILF). Associations with social anxiety symptoms and heritability were estimated. RESULTS Increased FA in the left and right SLF co-segregated with symptoms of social anxiety. These findings were coupled with decreased RD and MD. All characteristics of WM microstructure were estimated to be at least moderately heritable. CONCLUSION These findings suggest that alterations in WM microstructure in the SLF could be candidate endophenotypes of SAD, as they co-segregated within families genetically vulnerable for SAD and are heritable. These findings further elucidate the genetic susceptibility to SAD and improve our understanding of the overall etiology.
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Affiliation(s)
- Eline F Roelofs
- Curium-LUMC, Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Leiden Institute for Brain and Cognition, Leiden, The Netherlands.
| | - Janna Marie Bas-Hoogendam
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Leiden Institute for Brain and Cognition, Leiden, The Netherlands; Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, The Netherlands.
| | - Hanneke van Ewijk
- Curium-LUMC, Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.
| | - Habib Ganjgahi
- Department of Statistics, University of Oxford, Oxford, United Kingdom.
| | - Steven J A van der Werff
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Leiden Institute for Brain and Cognition, Leiden, The Netherlands.
| | | | - P Michiel Westenberg
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands; Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, The Netherlands.
| | - Robert R J M Vermeiren
- Curium-LUMC, Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Leiden Institute for Brain and Cognition, Leiden, The Netherlands.
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; Leiden Institute for Brain and Cognition, Leiden, The Netherlands.
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30
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Yon M, de Almeida Martins JP, Bao Q, Budde MD, Frydman L, Topgaard D. Diffusion tensor distribution imaging of an in vivo mouse brain at ultrahigh magnetic field by spatiotemporal encoding. NMR IN BIOMEDICINE 2020; 33:e4355. [PMID: 32812669 PMCID: PMC7583469 DOI: 10.1002/nbm.4355] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 05/27/2020] [Accepted: 05/29/2020] [Indexed: 05/08/2023]
Abstract
Diffusion tensor distribution (DTD) imaging builds on principles from diffusion, solid-state and low-field NMR spectroscopies, to quantify the contents of heterogeneous voxels as nonparametric distributions, with tensor "size", "shape" and orientation having direct relations to corresponding microstructural properties of biological tissues. The approach requires the acquisition of multiple images as a function of the magnitude, shape and direction of the diffusion-encoding gradients, leading to long acquisition times unless fast image read-out techniques like EPI are employed. While in previous in vivo human brain studies performed at 3 T this proved a viable option, porting these measurements to very high magnetic fields and/or to heterogeneous organs induces B0 - and B1 -inhomogeneity artifacts that challenge the limits of EPI. To overcome such challenges, we demonstrate here that high spatial resolution DTD of mouse brain can be carried out at 15.2 T with a surface-cryoprobe, by relying on SPatiotemporal ENcoding (SPEN) imaging sequences. These new acquisition and data-processing protocols are demonstrated with measurements on in vivo mouse brain, and validated with synthetic phantoms designed to mimic the diffusion properties of white matter, gray matter and cerebrospinal fluid. While still in need of full extensions to 3D mappings and of scanning additional animals to extract more general physiological conclusions, this work represents another step towards the model-free, noninvasive in vivo characterization of tissue microstructure and heterogeneity in animal models, at ≈0.1 mm resolutions.
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Affiliation(s)
- Maxime Yon
- Department of Chemical and Biological PhysicsWeizmann InstituteRehovotIsrael
| | - João P. de Almeida Martins
- Division of Physical Chemistry, Department of ChemistryLund UniversityLundSweden
- Random Walk Imaging ABLundSweden
| | - Qingjia Bao
- Department of Chemical and Biological PhysicsWeizmann InstituteRehovotIsrael
| | | | - Lucio Frydman
- Department of Chemical and Biological PhysicsWeizmann InstituteRehovotIsrael
| | - Daniel Topgaard
- Division of Physical Chemistry, Department of ChemistryLund UniversityLundSweden
- Random Walk Imaging ABLundSweden
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Kasa LW, Haast RAM, Kuehn TK, Mushtaha FN, Baron CA, Peters T, Khan AR. Evaluating High Spatial Resolution Diffusion Kurtosis Imaging at 3T: Reproducibility and Quality of Fit. J Magn Reson Imaging 2020; 53:1175-1187. [PMID: 33098227 DOI: 10.1002/jmri.27408] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/08/2020] [Accepted: 10/09/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Diffusion kurtosis imaging (DKI) quantifies the non-Gaussian diffusion of water within tissue microstructure. However, it has increased fitting parameters and requires higher b-values. Evaluation of DKI reproducibility is important for clinical purposes. PURPOSE To assess the reproducibility in whole-brain high-resolution DKI at varying b-values. STUDY TYPE Retrospective. SUBJECTS AND PHANTOMS In all, 44 individuals from the test-retest Human Connectome Project (HCP) database and 12 3D-printed phantoms. FIELD STRENGTH/SEQUENCE Diffusion-weighted multiband echo-planar imaging sequence at 3T and 9.4T. magnetization-prepared rapid acquisition gradient echo at 3T for in vivo structural data only. ASSESSMENT From HCP data with b-values = 1000, 2000, 3000 s/mm2 (dataset A), two additional datasets with b-values = 1000, 3000 s/mm2 (dataset B) and b-values = 1000, 2000 s/mm2 (dataset C) were extracted. Estimated DKI metrics from each dataset were used for evaluating reproducibility and fitting quality in white matter (WM) and gray matter (GM) based on whole-brain and regions of interest (ROIs). STATISTICAL TESTS DKI reproducibility was assessed using the within-subject coefficient of variation (CoV), fitting residuals to evaluate DKI fitting accuracy and Pearson's correlation to investigate the presence of systematic biases. Repeated measures analysis of variance was used for statistical comparison. RESULTS Datasets A and B exhibited lower DKI CoVs (<20%) compared to C (<50%) in both WM and GM ROIs (all P < 0.05). This effect varies between DKI and DTI parameters (P < 0.005). Whole-brain fitting residuals were consistent across datasets (P > 0.05), but lower residuals in dataset B were detected for the WM ROIs (P < 0.001). A similar trend was observed for the phantom data CoVs (<7.5%) at varying fiber orientations for datasets A and B. Finally, dataset C was characterized by higher residuals across the different fiber crossings (P < 0.05). DATA CONCLUSION The study demonstrates that high reproducibility can still be achieved within a reasonable scan time, specifically dataset B, supporting the potential of DKI for aiding clinical tools in detecting microstructural changes.
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Affiliation(s)
- Loxlan W Kasa
- Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada.,School of Biomedical Engineering, Western University, London, Ontario, Canada
| | - Roy A M Haast
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, Ontario, Canada
| | - Tristan K Kuehn
- School of Biomedical Engineering, Western University, London, Ontario, Canada.,Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, Ontario, Canada
| | - Farah N Mushtaha
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, Ontario, Canada
| | - Corey A Baron
- Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada.,School of Biomedical Engineering, Western University, London, Ontario, Canada.,Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Terry Peters
- Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada.,School of Biomedical Engineering, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada.,Department of Medical Imaging, Western University, London, Ontario, Canada
| | - Ali R Khan
- Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada.,School of Biomedical Engineering, Western University, London, Ontario, Canada.,Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, Ontario, Canada.,Department of Medical Biophysics, Western University, London, Ontario, Canada
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Tariq S, Tsang A, Wang M, Reaume N, Carlson H, Sajobi TT, Longman RS, Smith EE, Frayne R, d’Esterre CD, Coutts SB, Barber PA. White matter tract microstructure and cognitive performance after transient ischemic attack. PLoS One 2020; 15:e0239116. [PMID: 33095770 PMCID: PMC7584182 DOI: 10.1371/journal.pone.0239116] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 08/31/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND PURPOSE Patients with transient ischemic attack (TIA) show evidence of cognitive impairment but the reason is not clear. Measurement of microstructural changes in white matter (WM) using diffusion tensor imaging (DTI) may be a useful outcome measure. We report WM changes using DTI and the relationship with neuropsychological performance in a cohort of transient ischemic attack (TIA) and non-TIA subjects. METHODS Ninety-five TIA subjects and 51 non-TIA subjects were assessed using DTI and neuropsychological batteries. Fractional anisotropy (FA) and mean diffusivity (MD) maps were generated and measurements were collected from WM tracts. Adjusted mixed effects regression modelled the relationship between groups and DTI metrics. RESULTS Transient ischemic attack subjects had a mean age of 67.9 ± 9.4 years, and non-TIA subjects had a mean age 64.9 ± 9.9 years. The TIA group exhibited higher MD values in the fornix (0.36 units, P < 0.001) and lower FA in the superior longitudinal fasciculus (SLF) (-0.29 units, P = 0.001), genu (-0.22 units, P = 0.016), and uncinate fasciculus (UF) (-0.26 units, P = 0.004). Compared to non-TIA subjects, subjects with TIA scored lower on the Addenbrooke's Cognitive Assessment-Revised (median score 95 vs 91, P = 0.01) but showed no differences in scores on the Montreal Cognitive Assessment (median 27 vs 26) or the Mini-Mental State Examination (median 30). TIA subjects had lower scores in memory (median 44 vs 52, P < 0.01) and processing speed (median 45 vs 62, P < 0.01) but not executive function, when compared to non-TIA subjects. Lower FA and higher MD in the fornix, SLF, and UF were associated with poorer performance on tests of visual memory and executive function but not verbal memory. Lower FA in the UF and fornix were related to higher timed scores on the TMT-B (P < 0.01), and higher SLF MD was related to higher scores on TMT-B (P < 0.01), confirming worse executive performance in the TIA group. CONCLUSIONS DTI scans may be useful for detecting microstructural disease in TIA subjects before cognitive symptoms develop. DTI parameters, white matter hyperintensities, and vascular risk factors underly some of the altered neuropsychological measures in TIA subjects.
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Affiliation(s)
- Sana Tariq
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Room 1A10 Health Research Innovation Center, Calgary, AB, Canada
| | - Adrian Tsang
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Room 1A10 Health Research Innovation Center, Calgary, AB, Canada
| | - Meng Wang
- Department of Community Health Sciences & O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Noaah Reaume
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
| | - Helen Carlson
- Calgary Pediatric Stroke Program, Alberta Children’s Hospital Research Institute, Calgary, AB, Canada
| | - Tolulope T. Sajobi
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
- Department of Community Health Sciences & O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Richard Stewart Longman
- Hotchkiss Brain Institute, University of Calgary, Room 1A10 Health Research Innovation Center, Calgary, AB, Canada
- Alberta Health Services, Neuropsychology Service, Foothills Medical Centre, Calgary, AB, Canada
| | - Eric E. Smith
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Room 1A10 Health Research Innovation Center, Calgary, AB, Canada
- Department of Clinical Neurosciences, Calgary Stroke Program, Foothills Medical Centre, Calgary, AB, Canada
| | - Richard Frayne
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Room 1A10 Health Research Innovation Center, Calgary, AB, Canada
- Department of Clinical Neurosciences, Calgary Stroke Program, Foothills Medical Centre, Calgary, AB, Canada
- Department of Radiology, Foothills Medical Centre, Calgary, AB, Canada
| | - Christopher D. d’Esterre
- Department of Clinical Neurosciences, Calgary Stroke Program, Foothills Medical Centre, Calgary, AB, Canada
| | - Shelagh B. Coutts
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Room 1A10 Health Research Innovation Center, Calgary, AB, Canada
- Department of Community Health Sciences & O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Calgary Stroke Program, Foothills Medical Centre, Calgary, AB, Canada
- Department of Radiology, Foothills Medical Centre, Calgary, AB, Canada
| | - Philip A. Barber
- Seaman Family MR Center, Foothills Medical Centre, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Room 1A10 Health Research Innovation Center, Calgary, AB, Canada
- Department of Community Health Sciences & O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Calgary Stroke Program, Foothills Medical Centre, Calgary, AB, Canada
- Department of Radiology, Foothills Medical Centre, Calgary, AB, Canada
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33
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Laib Z, Ahmed Sid F, Abed-Meraim K, Ouldali A. Estimation error bound for GRAPPA diffusion-weighted MRI. Magn Reson Imaging 2020; 74:181-194. [PMID: 33010376 DOI: 10.1016/j.mri.2020.09.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 08/26/2020] [Accepted: 09/23/2020] [Indexed: 01/08/2023]
Abstract
In recent years, diffusion weight magnetic resonance imaging (DW-MRI) has become one of the most important MRI imaging modalities. The importance of the DW-MRI grew thanks to the combination of parallel magnetic resonance imaging (pMRI) techniques with the echo-planar imaging (EPI), which minimize scan time and lead to reduced distortion, allowing the DW-MRI to become a routine clinical exam. Additionally, this has brought various new parameters that influence image quality and biomarkers used in DW-MRI. This work aims to investigate the effects of these parameters on the estimation quality, by using the Cramér-Rao bound tool, which gives analytical expressions of the lower limit on the estimation error variance of different DW-MRI variables when using the pMRI technique. In particular, these bounds will be used to study and optimize the impact of different factors of generalized autocalibrating partially parallel acquisition (GRAPPA) technique and system parameters on the estimation quality of the desired clinical metrics. Moreover, the obtained results of this study can be exploited and adapted in all human body DW-MRI clinical routines, further improving disease diagnosis, and tractography studies.
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Affiliation(s)
- Zohir Laib
- Laboratoire traitement du signal, EMP, BP 17 Bordj El Bahri, 16111 Algiers, Algeria.
| | - Farid Ahmed Sid
- ParIMéd/LRPE,FEI,USTHB, BP 32 El Alia, Bab Ezzouar, 16111 Algiers, Algeria
| | - Karim Abed-Meraim
- PRISME Laboratory, University of Orléans, 12 Rue de Blois, 45067 Orléans, France
| | - Aziz Ouldali
- Laboratoire signaux et systemes, University of Mostaganem, BP 002 Kharouba, 27000 Mostaganem, Algeria
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34
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Mekkaoui I, Pousin J, Hesthaven J, Li JR. Apparent diffusion coefficient measured by diffusion MRI of moving and deforming domains. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2020; 318:106809. [PMID: 32862079 DOI: 10.1016/j.jmr.2020.106809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 06/19/2020] [Accepted: 08/04/2020] [Indexed: 06/11/2023]
Abstract
The modeling of the diffusion MRI signal from moving and deforming organs such as the heart is challenging due to significant motion and deformation of the imaged medium during the signal acquisition. Recently, a mathematical formulation of the Bloch-Torrey equation, describing the complex transverse magnetization due to diffusion-encoding magnetic field gradients, was developed to account for the motion and deformation. In that work, the motivation was to cancel the effect of the motion and deformation in the MRI image and the space scale of interest spans multiple voxels. In the present work, we adapt the mathematical equation to study the diffusion MRI signal at the much smaller scale of biological cells. We start with the Bloch-Torrey equation defined on a cell that is moving and deforming and linearize the equation around the magnitude of the diffusion-encoding gradient. The result is a second order signal model in which the linear term gives the imaginary part of the diffusion MRI signal and the quadratic term gives the apparent diffusion coefficient (ADC) attributable to the biological cell. We numerically validate this model for a variety of motions and deformations.
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Affiliation(s)
- Imen Mekkaoui
- INRIA Saclay, Equipe DEFI, CMAP, Ecole Polytechnique, Route de Saclay, 91128 Palaiseau Cedex, France
| | - Jérôme Pousin
- ICJ UMR5208, INSA-Lyon, 20 Av. A. Einstein, 69100 Villeurbanne, France
| | | | - Jing-Rebecca Li
- INRIA Saclay, Equipe DEFI, CMAP, Ecole Polytechnique, Route de Saclay, 91128 Palaiseau Cedex, France.
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35
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Conley AC, Karayanidis F, Jolly TAD, Yang MH, Hsieh S. Cerebral Arterial Pulsatility and Global White Matter Microstructure Impact Spatial Working Memory in Older Adults With and Without Cardiovascular Risk Factors. Front Aging Neurosci 2020; 12:245. [PMID: 32848715 PMCID: PMC7427001 DOI: 10.3389/fnagi.2020.00245] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 07/16/2020] [Indexed: 12/27/2022] Open
Abstract
Aging is associated with an increased prevalence of vascular health conditions that are linked to a disruption in the cerebral vasculature and white matter microstructural organization. In people with cardiovascular risk factors, increased cerebral arterial pulsatility is associated with poorer white matter microstructural organization and cognitive functioning. This study examines the relationship among arterial pulsatility, white matter microstructural organization, and cognitive ability in a healthy adult lifespan sample. One hundred and eighty-nine adults were divided into a younger adult (<50 years, n = 97) and older adult (>50 years, n = 92). The latter were further subdivided into two subgroups with (CV+, n = 25) and without (CV−, n = 67) cardiovascular risk factors. Arterial pulsatility was measured using cardiac-gated phase-contrast flow quantification sequence and three indexes of whole-brain white matter microstructural organization [i.e., fractional anisotropy (FA), radial diffusivity (RaD), mean diffusivity (MD)] were derived from diffusion-weighted imaging (DWI). Cognitive ability was assessed using global cognitive functioning (MoCA) and a measure of working memory [sensitivity (d′) from a 2-back task]. Neither the whole group analysis nor the younger adult group showed an association between measures of arterial pulsatility, global white matter microstructural organization, and cognition. In older adults, higher MD and RaD were associated with increased arterial pulsatility and poorer working memory performance. The indirect pathway from arterial pulsatility to working memory performance via both MD and RaD measures was significant in this group. Interestingly, a comparison of CV+ and CV− subgroups showed that this mediating relationship was only evident in older adults with at least one CV risk factor. These findings are consistent with cardiovascular risk factors as underlying arterial, white matter, and cognitive decline in cognitively normal older adults.
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Affiliation(s)
- Alexander C Conley
- Department of Psychiatry, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Frini Karayanidis
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science, University of Newcastle, Newcastle, NSW, Australia.,Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Todd A D Jolly
- Functional Neuroimaging Laboratory, School of Psychology, Faculty of Science, University of Newcastle, Newcastle, NSW, Australia.,Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Meng-Heng Yang
- Department of Psychology, National Cheng Kung University, Tainan, Taiwan.,Institute of Allied Health Sciences, National Cheng Kung University, Tainan, Taiwan.,Department and Institute of Public health, National Cheng Kung University, Tainan, Taiwan
| | - Shulan Hsieh
- Department of Psychology, National Cheng Kung University, Tainan, Taiwan.,Institute of Allied Health Sciences, National Cheng Kung University, Tainan, Taiwan.,Department and Institute of Public health, National Cheng Kung University, Tainan, Taiwan
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36
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Berman S, Backner Y, Krupnik R, Paul F, Petrou P, Karussis D, Levin N, Mezer AA. Conduction delays in the visual pathways of progressive multiple sclerosis patients covary with brain structure. Neuroimage 2020; 221:117204. [PMID: 32745679 DOI: 10.1016/j.neuroimage.2020.117204] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 01/24/2023] Open
Abstract
In developed countries, multiple sclerosis (MS) is the leading cause of non-traumatic neurological disability in young adults. MS is a chronic demyelinating disease of the central nervous system, in which myelin is attacked, changing white matter structure and leaving lesions. The demyelination has a direct effect on white matter conductivity. This effect can be examined in the visual system, where damage is highly prevalent in MS, leading to substantial delays in conduction, commonly measured with visual evoked potentials (VEPs). The structural damage to the visual system in MS is often estimated with MRI measurements in the white matter. Recent developments in quantitative MRI (qMRI) provide improved sensitivity to myelin content and new structural methods allow better modeling of the axonal structure, leading researchers to link white matter microstructure to conduction properties of action potentials along fiber tracts. This study attempts to explain the variance in conduction latencies down the visual pathway using structural measurements of both the retina and the optic radiation (OR). Forty-eight progressive MS patients, participants in a longitudinal stem-cell therapy clinical trial, were included in this study, three and six months post final treatment. Twenty-seven patients had no history of optic neuritis, and were the main focus of this study. All participants underwent conventional MRI scans, as well as diffusion MRI and qMRI sequences to account for white matter microstructure. Optical coherence tomography scans were also obtained, and peripapillary retinal nerve fiber layer (pRNFL) thickness and macular volume measurements were extracted. Finally, latencies of recorded VEPs were estimated. Our results show that in non-optic neuritis progressive MS patients there is a relationship between the VEP latency and both retinal damage and OR lesion load. In addition, we find that qMRI values, sampled along the OR, are also correlated with VEP latency. Finally, we show that combining these parameters using PCA we can explain more than 40% of the inter-subject variance in VEP latency. In conclusion, this study contributes to understanding the relationship between the structural properties and conduction in the visual system in disease. We focus on the visual system, where the conduction latencies can be estimated, but the conclusions could be generalized to other brain systems where the white matter structure can be measured. It also highlights the importance of having multiple parameters when assessing the clinical stages of MS patients, which could have major implications for future studies of other white matter diseases.
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Affiliation(s)
- Shai Berman
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Yael Backner
- fMRI Unit, Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Ronnie Krupnik
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany; Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Panayiota Petrou
- The Multiple Sclerosis Center, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Dimitrios Karussis
- The Multiple Sclerosis Center, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Netta Levin
- fMRI Unit, Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Aviv A Mezer
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
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37
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Willsey MS, Collins KL, Conrad EC, Chubb HA, Patil PG. Diffusion tensor imaging reveals microstructural differences between subtypes of trigeminal neuralgia. J Neurosurg 2020; 133:573-579. [PMID: 31323635 DOI: 10.3171/2019.4.jns19299] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 04/18/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Trigeminal neuralgia (TN) is an uncommon idiopathic facial pain syndrome. To assist in diagnosis, treatment, and research, TN is often classified as type 1 (TN1) when pain is primarily paroxysmal and episodic or type 2 (TN2) when pain is primarily constant in character. Recently, diffusion tensor imaging (DTI) has revealed microstructural changes in the symptomatic trigeminal root and root entry zone of patients with unilateral TN. In this study, the authors explored the differences in DTI parameters between subcategories of TN, specifically TN1 and TN2, in the pontine segment of the trigeminal tract. METHODS The authors enrolled 8 patients with unilateral TN1, 7 patients with unilateral TN2, and 23 asymptomatic controls. Patients underwent DTI with parameter measurements in a region of interest within the pontine segment of the trigeminal tract. DTI parameters were compared between groups. RESULTS In the pontine segment, the radial diffusivity (p = 0.0049) and apparent diffusion coefficient (p = 0.023) values in TN1 patients were increased compared to the values in TN2 patients and controls. The DTI measures in TN2 were not statistically significant from those in controls. When comparing the symptomatic to asymptomatic sides in TN1 patients, radial diffusivity was increased (p = 0.025) and fractional anisotropy was decreased (p = 0.044) in the symptomatic sides. The apparent diffusion coefficient was increased, with a trend toward statistical significance (p = 0.066). CONCLUSIONS Noninvasive DTI analysis of patients with TN may lead to improved diagnosis of TN subtypes (e.g., TN1 and TN2) and improve patient selection for surgical intervention. DTI measurements may also provide insights into prognosis after intervention, as TN1 patients are known to have better surgical outcomes than TN2 patients.
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Affiliation(s)
- Matthew S Willsey
- 1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
| | - Kelly L Collins
- 1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
- 2Department of Neurosurgery, University of Washington, Seattle, Washington
| | - Erin C Conrad
- 1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
- 3Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania; and
| | - Heather A Chubb
- 4Neuroscience and Sensory CTSU, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Parag G Patil
- 1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
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Andersson E, Janelidze S, Lampinen B, Nilsson M, Leuzy A, Stomrud E, Blennow K, Zetterberg H, Hansson O. Blood and cerebrospinal fluid neurofilament light differentially detect neurodegeneration in early Alzheimer's disease. Neurobiol Aging 2020; 95:143-153. [PMID: 32810755 PMCID: PMC7649343 DOI: 10.1016/j.neurobiolaging.2020.07.018] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 07/16/2020] [Accepted: 07/19/2020] [Indexed: 01/08/2023]
Abstract
Cerebrospinal fluid (CSF) neurofilament light (NfL) concentration has reproducibly been shown to reflect neurodegeneration in brain disorders, including Alzheimer's disease (AD). NfL concentration in blood correlates with the corresponding CSF levels, but few studies have directly compared the reliability of these 2 markers in sporadic AD. Herein, we measured plasma and CSF concentrations of NfL in 478 cognitively unimpaired (CU) subjects, 227 patients with mild cognitive impairment, and 113 patients with AD dementia. We found that the concentration of NfL in CSF, but not in plasma, was increased in response to Aβ pathology in CU subjects. Both CSF and plasma NfL concentrations were increased in patients with mild cognitive impairment and AD dementia. Furthermore, only NfL in CSF was associated with reduced white matter microstructure in CU subjects. Finally, in a transgenic mouse model of AD, CSF NfL increased before serum NfL in response to the development of Aβ pathology. In conclusion, NfL in CSF may be a more reliable biomarker of neurodegeneration than NfL in blood in preclinical sporadic AD.
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Affiliation(s)
- Emelie Andersson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Björn Lampinen
- Clinical Sciences Lund, Department of Medical Radiation Physics, Lund University, Lund, Sweden
| | - Markus Nilsson
- Clinical Sciences Lund, Department of Radiology, Lund University, Lund, Sweden
| | - Antoine Leuzy
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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Zhang F, Iwaki S. Correspondence Between Effective Connections in the Stop-Signal Task and Microstructural Correlations. Front Hum Neurosci 2020; 14:279. [PMID: 32848664 PMCID: PMC7396500 DOI: 10.3389/fnhum.2020.00279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 06/19/2020] [Indexed: 11/13/2022] Open
Affiliation(s)
- Fan Zhang
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
- Department of Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
| | - Sunao Iwaki
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
- Department of Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
- *Correspondence: Sunao Iwaki
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40
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Hsieh S, Yao ZF, Yang MH, Yang CT, Wang CH. Diffusion Tensor Imaging Revealing the Relation of Age-Related Differences in the Corpus Callosum With Cognitive Style. Front Hum Neurosci 2020; 14:285. [PMID: 32765246 PMCID: PMC7379874 DOI: 10.3389/fnhum.2020.00285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 06/26/2020] [Indexed: 01/29/2023] Open
Abstract
People may differ in their ways of processing tasks or situations, which may be explained by cognitive styles that define individual differences in information processing strategies. The cognitive style ranges between two extremes: analytic and holistic processing style. The concept of cognitive style has been widely investigated in the literature, but its age-related differences in the neural substrates have remained elusive. In this study, we focused on the white matter structure of the corpus callosum and its possible link to age-related differences in cognitive style, given its functional ability to connect and facilitate efficient communication between the left and right cerebral hemispheres. Seventy-two participants aged 20–75 years participated in this study. Participants’ cognitive styles were measured by the Analysis-Holism Scale (AHS), and their white matter microstructures were acquired using diffusion-weighted magnetic resonance imaging. The results revealed that older adults tend to have a more holistic processing style than younger adults. We then compared the white matter of tracts of interest between high and low AHS groups and found that the white matter microstructure in the genu of the corpus callosum can be used to distinguish between AHS subgroups. Interestingly, we found that age negatively correlated with the white matter tracts across the brain, indicating that aging is associated with reduced microstructure integrity. Together, our findings suggest that analytic-holistic cognitive styles of information processing possibly reflect that the microstructure development in the anterior part of the corpus callosum may influence the type of age-related information processing.
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Affiliation(s)
- Shulan Hsieh
- Department of Psychology, National Cheng Kung University, Tainan, Taiwan.,Institute of Allied Health Sciences, National Cheng Kung University, Tainan, Taiwan.,Department and Institute of Public Health, National Cheng Kung University, Tainan, Taiwan
| | - Zai-Fu Yao
- Brain and Cognition, Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Meng-Heng Yang
- Department of Psychology, National Cheng Kung University, Tainan, Taiwan
| | - Cheng-Ta Yang
- Department of Psychology, National Cheng Kung University, Tainan, Taiwan.,Institute of Allied Health Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Chun-Hao Wang
- Institute of Physical Education, Health and Leisure Studies, National Cheng Kung University, Tainan, Taiwan
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Onder H, Oguz KK, Soylemezoglu F, Varli K. Deep White Matter Lesions with Persistent Diffusion Restriction on MRI as a Diagnostic Clue: Neuroimaging of a Turkish Family with Hereditary Diffuse Leukoencephalopathy with Spheroids and Literature Review. Ann Indian Acad Neurol 2020; 23:280-288. [PMID: 32606513 PMCID: PMC7313596 DOI: 10.4103/aian.aian_474_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 09/15/2019] [Indexed: 11/30/2022] Open
Abstract
Background: Hereditary diffuse leukoencephalopathy with spheroids (HDLS), first described in 1984 is a rare disorder. Generally, it presents at adulthood with dementia, motor impairment, extrapyramidal abnormalities, and epilepsy. Definitive diagnosis is made by brain biopsy. Neuroimaging studies have revealed confluent white matter lesions predominantly in the frontal lobes, corpus callosum, and corticospinal tracts on conventional magnetic resonance imaging. Only a few reports showed diffusion restriction in the cerebral white matter; furthermore, rarer reports emphasized persistent foci of diffusion restriction as a diagnostic imaging marker. Objective: Herein, we have aimed to illustrate the first biopsy-proven Turkish HDLS pedigree consisting of 18 persons in 3 generations which contained 4 affected individuals. Materials and Methods: Four individuals in the pedigree of HDLS [two affected patients (patient III-1 and patient III-2) and two unaffected individuals (patient II-4 and patient III-5)] were investigated with conventional MRI and Diffusion-weighted imaging (DWI) using 1.5 Tesla (T) scanner. All four individuals were evaluated via neurological examinations and Mini-Mental State Examination. Brain biopsy study was performed on patient III-2. Finally, an extensive literature review involving pathology investigations and neuroimaging studies of HDLS patients was conducted. Results: DWIs of two investigated patients showed deep white matter lesions with persistent diffusion restriction. Computed tomography imaging showed punctate mineralization in the lesions. Biopsy specimens of patient III-2 demonstrated axonal spheroids which were typical for HDLS. Conclusions: Via the presentation of our pedigree and literature review, we suggest HDSL as a first-line differential diagnosis in patients with undiagnosed adult-onset familial leukoencephalopathy, in particular, those with MRI lesions of frontal white matter and centrum semiovale associated with foci of diffusion restriction and mineralization. Finally, we think that the persistence of the diffusion restriction in deep white matter lesions should be kept in mind as a crucial neuroimaging sign for HDLS.
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Affiliation(s)
- Halil Onder
- Department of Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Kader Karli Oguz
- Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Figen Soylemezoglu
- Department of Pathology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Kubilay Varli
- Department of Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
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Kyriakopoulos M, Bargiotas T, Barker GJ, Frangou S. Diffusion tensor imaging in schizophrenia. Eur Psychiatry 2020; 23:255-73. [DOI: 10.1016/j.eurpsy.2007.12.004] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2007] [Revised: 11/19/2007] [Accepted: 12/03/2007] [Indexed: 12/12/2022] Open
Abstract
AbstractDiffusion tensor imaging (DTI) is a magnetic resonance imaging technique that is increasingly being used for the non-invasive evaluation of brain white matter abnormalities. In this review, we discuss the basic principles of DTI, its roots and the contribution of European centres in its development, and we review the findings from DTI studies in schizophrenia. We searched EMBASE, PubMed, PsychInfo, and Medline from February 1998 to December 2006 using as keywords ‘schizophrenia’, ‘diffusion’, ‘tensor’, and ‘DTI’. Forty studies fulfilling the inclusion criteria of this review were included and systematically reviewed. White matter abnormalities in many diverse brain regions were identified in schizophrenia. Although the findings are not completely consistent, frontal and temporal white matter seems to be more commonly affected. Limitations and future directions of this method are discussed.
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Wu TL, Byun NE, Wang F, Mishra A, Janve VA, Chen LM, Gore JC. Longitudinal assessment of recovery after spinal cord injury with behavioral measures and diffusion, quantitative magnetization transfer and functional magnetic resonance imaging. NMR IN BIOMEDICINE 2020; 33:e4216. [PMID: 31943383 PMCID: PMC7155919 DOI: 10.1002/nbm.4216] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 10/08/2019] [Accepted: 10/15/2019] [Indexed: 05/09/2023]
Abstract
Spinal cord injuries (SCIs) are a leading cause of disability and can severely impact the quality of life. However, to date, the processes of spontaneous repair of damaged spinal cord remain incompletely understood, partly due to a lack of appropriate longitudinal tracking methods. Noninvasive, multiparametric magnetic resonance imaging (MRI) provides potential biomarkers for the comprehensive evaluation of spontaneous repair after SCI. In this study in rats, a clinically relevant contusion injury was introduced at the lumbar level that impairs both hindlimb motor and sensory functions. Quantitative MRI measurements were acquired at baseline and serially post-SCI for up to 2 wk. The progressions of injury and spontaneous recovery in both white and gray matter were tracked longitudinally using pool-size ratio (PSR) measurements derived from quantitative magnetization transfer (qMT) methods, measurements of water diffusion parameters using diffusion tensor imaging (DTI) and intrasegment functional connectivity derived from resting state functional MRI. Changes in these quantitative imaging measurements were correlated with behavioral readouts. We found (a) a progressive decrease in PSR values within 2 wk post-SCI, indicating a progressive demyelination at the center of the injury that was validated with histological staining, (b) PSR correlated closely with fractional anisotropy and transverse relaxation of free water, but did not show significant correlations with behavioral recovery, and (c) preliminary evidence that SCI induced a decrease in functional connectivity between dorsal horns below the injury site at 24 h. Findings from this study not only confirm the value of qMT and DTI methods for assessing the myelination state of injured spinal cord but indicate that they may also have further implications on whether therapies targeted towards remyelination may be appropriate. Additionally, a better understanding of changes after SCI provides valuable information to guide and assess interventions.
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Affiliation(s)
- Tung-Lin Wu
- Vanderbilt University Institute of Imaging Science, Nashville, TN, 37232, United States
- Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232, United States
| | - Nellie E. Byun
- Vanderbilt University Institute of Imaging Science, Nashville, TN, 37232, United States
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, 37232, United States
| | - Feng Wang
- Vanderbilt University Institute of Imaging Science, Nashville, TN, 37232, United States
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, 37232, United States
| | - Arabinda Mishra
- Vanderbilt University Institute of Imaging Science, Nashville, TN, 37232, United States
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, 37232, United States
| | - Vaibhav A. Janve
- Vanderbilt University Institute of Imaging Science, Nashville, TN, 37232, United States
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, 37232, United States
| | - Li Min Chen
- Vanderbilt University Institute of Imaging Science, Nashville, TN, 37232, United States
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, 37232, United States
| | - John C. Gore
- Vanderbilt University Institute of Imaging Science, Nashville, TN, 37232, United States
- Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232, United States
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, 37232, United States
- Physics and Astronomy, Vanderbilt University, Nashville, TN, 37232, United States
- Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, United States
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Dietary Fructose Intake and Hippocampal Structure and Connectivity during Childhood. Nutrients 2020; 12:nu12040909. [PMID: 32224933 PMCID: PMC7230400 DOI: 10.3390/nu12040909] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 03/21/2020] [Accepted: 03/24/2020] [Indexed: 01/06/2023] Open
Abstract
In rodent literature, there is evidence that excessive fructose consumption during development has a detrimental impact on hippocampal structure and function. In this study of 103 children ages 7–11 years old, we investigated whether dietary fructose intake was related to alterations in hippocampal volume and connectivity in humans. To examine if these associations were specific to fructose or were related to dietary sugars intake in general, we explored relationships between dietary intake of added sugars and the monosaccharide, glucose, on the same brain measures. We found that increased dietary intake of fructose, measured as a percentage of total calories, was associated with both an increase in the volume of the CA2/3 subfield of the right hippocampus and increased axial, radial, and mean diffusivity in the prefrontal connections of the right cingulum. These findings are consistent with the idea that increased fructose consumption during childhood may be associated with an inflammatory process, and/or decreases or delays in myelination and/or pruning. Increased habitual consumption of glucose or added sugar in general were associated with an increased volume of right CA2/3, but not with any changes in the connectivity of the hippocampus. These findings support animal data suggesting that higher dietary intake of added sugars, particularly fructose, are associated with alterations in hippocampal structure and connectivity during childhood.
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Walterfang M, Di Biase MA, Cropley VL, Scott AM, O'Keefe G, Velakoulis D, Pathmaraj K, Ackermann U, Pantelis C. Imaging of neuroinflammation in adult Niemann-Pick type C disease: A cross-sectional study. Neurology 2020; 94:e1716-e1725. [PMID: 32209649 DOI: 10.1212/wnl.0000000000009287] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 11/05/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that neuroinflammation is a key process in adult Niemann-Pick type C (NPC) disease, we undertook PET scanning utilizing a ligand binding activated microglia on 9 patients and 9 age- and sex-matched controls. METHOD We scanned all participants with the PET radioligand 11C-(R)-PK-11195 and undertook structural MRI to measure gray matter volume and white matter fractional anisotropy (FA). RESULTS We found increased binding of 11C-(R)-PK-11195 in total white matter compared to controls (p < 0.01), but not in gray matter regions, and this did not correlate with illness severity or duration. Gray matter was reduced in the thalamus (p < 0.0001) in patients, who also showed widespread reductions in FA across the brain compared to controls (p < 0.001). A significant correlation between 11C-(R)-PK11195 binding and FA was shown (p = 0.002), driven by the NPC patient group. CONCLUSIONS Our findings suggest that neuroinflammation-particularly in white matter-may underpin some structural and degenerative changes in patients with NPC.
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Affiliation(s)
- Mark Walterfang
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Maria A Di Biase
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Vanessa L Cropley
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Andrew M Scott
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Graeme O'Keefe
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Dennis Velakoulis
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Kunthi Pathmaraj
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Uwe Ackermann
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia
| | - Christos Pantelis
- From the Neuropsychiatry Unit (M.W., D.V.), Royal Melbourne Hospital; Melbourne Neuropsychiatry Centre (M.W., M.A.D., V.L.C., D.V., C.P.), The University of Melbourne & North Western Mental Health; The Florey Institute of Neuroscience and Mental Health (M.W., C.P.), Department of Psychiatry (M.W., M.A.D., V.L.C., D.V., C.P.), and Centre for Neural Engineering, Department of Electrical and Electronic Engineering (C.P.), The University of Melbourne; Department of Molecular Imaging and Therapy (A.M.S., G.O., K.P., U.A.), Austin Health and The University of Melbourne, Heidelberg; Olivia Newton John Cancer Centre and La Trobe University (A.M.S., G.O., U.A.), Melbourne; and Cooperative Centre for Mental Health Research (C.P.), Carlton, Australia.
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Jacob M, Stotesbury H, Kawadler JM, Lapadaire W, Saunders DE, Sangeda RZ, Chamba C, Kazema R, Makani J, Kirkham FJ, Clark CA. White Matter Integrity in Tanzanian Children With Sickle Cell Anemia: A Diffusion Tensor Imaging Study. Stroke 2020; 51:1166-1173. [PMID: 32138633 DOI: 10.1161/strokeaha.119.027097] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background and Purpose- Widespread reductions in white matter integrity are associated with cognitive dysfunction in sickle cell anemia. Silent cerebral infarction (SCI), vasculopathy (VSC), and low hemoglobin concentration (Hb) are implicated; we aimed to determine independent contributions to microstructural white matter injury and whether white matter integrity differs across arterial territories. Methods- Sixty two children with sickle cell anemia aged 6 to 19 years were prospectively studied at Muhimbili National Hospital, Tanzania. SCI± and VSC± were identified on magnetic resonance imaging (MRI)/magnetic resonance angiography (MRA) scans by 2 neuroradiologists. Tract-based spatial statistics tested for voxel-wise differences in diffusion tensor imaging metrics (ie, fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity) between SCI± and VSC± groups, with correlations between diffusion tensor imaging metrics and Hb. In tract-based spatial statistics analyses, potentially mediating factors (ie, age, sex, as well as Hb, SCI, and/or vasculopathy) were covariates. Differences in mean diffusion tensor imaging metrics across regions of interest in arterial territories were explored. Results- Compared with SCI- patients (n=45), SCI+ patients (n=17) exhibited increased radial diffusivity in multiple regions; negative relationships were observed between mean diffusivity, axial diffusivity, and Hb (P<0.005). Compared with VSC- patients (n=49), mild (n=6) or moderate (n=7) VSC+ patients exhibited reduced fractional anisotropy in widespread regions (P<0.05) including the anterior longitudinal fasciculi, corpus callosum, internal capsule, corona radiata, and corticospinal tracts. Overall, the posterior cerebral arterial territory had higher mean mean diffusivity and mean radial diffusivity than the anterior and middle cerebral arterial territories, although no patient had vasculopathy in this area. There was an interaction between territory and vasculopathy. Conclusions- SCI, vasculopathy, and Hb are independent risk factors, and thus treatment targets, for diffuse white matter injury in patients with sickle cell anemia. Exacerbation of hemodynamic stress may play a role.
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Affiliation(s)
- Mboka Jacob
- From the Department of Radiology and Imaging, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania (M.J., R.K.).,Muhimbili Sickle Cell Program (M.J., R.Z.S., J.M.), Muhimbili University of Health and Allied Sciences
| | - Hanne Stotesbury
- Developmental Neurosciences Section (H.S., J.M.K., W.L., D.E.S., F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom
| | - Jamie M Kawadler
- Developmental Neurosciences Section (H.S., J.M.K., W.L., D.E.S., F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom
| | - Winok Lapadaire
- Developmental Neurosciences Section (H.S., J.M.K., W.L., D.E.S., F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom
| | - Dawn E Saunders
- Developmental Neurosciences Section (H.S., J.M.K., W.L., D.E.S., F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom
| | - Raphael Z Sangeda
- Muhimbili Sickle Cell Program (M.J., R.Z.S., J.M.), Muhimbili University of Health and Allied Sciences.,Department of Pharmaceutical Microbiology (R.Z.S.), Muhimbili University of Health and Allied Sciences
| | - Clara Chamba
- Department of Haematology and Blood Transfusion (C.C., J.M.), Muhimbili University of Health and Allied Sciences
| | - Ramadhan Kazema
- From the Department of Radiology and Imaging, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania (M.J., R.K.)
| | - Julie Makani
- Muhimbili Sickle Cell Program (M.J., R.Z.S., J.M.), Muhimbili University of Health and Allied Sciences.,Department of Haematology and Blood Transfusion (C.C., J.M.), Muhimbili University of Health and Allied Sciences
| | - Fenella J Kirkham
- Developmental Neurosciences Section (H.S., J.M.K., W.L., D.E.S., F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom.,Biomedical Research Unit (F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom.,Clinical Experimental Sciences, University of Southampton, University Hospital Southampton NHS Foundation Trust, United Kingdom (F.J.K.).,King's College Hospital, London, United Kingdom (F.J.K.)
| | - Chris A Clark
- Developmental Neurosciences Section (H.S., J.M.K., W.L., D.E.S., F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom.,Biomedical Research Unit (F.J.K., C.A.C.), UCL Great Ormond Street Hospital for Children, London, United Kingdom
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Hunt D, Dighe M, Gatenby C, Studholme C. Automatic, Age Consistent Reconstruction of the Corpus Callosum Guided by Coherency From In Utero Diffusion-Weighted MRI. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:601-610. [PMID: 31395540 PMCID: PMC7189742 DOI: 10.1109/tmi.2019.2932681] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Reconstruction of white matter connectivity in the fetal brain from in utero diffusion-weighted magnetic resonance imaging (MRI) faces many challenges, including subject motion, small anatomical scale, and limited image resolution and signal. These issues are compounded by the need to track significant changes in structural connectivity throughout development. We present an automated method for improved reliability and completeness of tract extraction across a wide range of gestational ages, based on the geometry of coherent patterns in streamline tractography, and apply it to the reconstruction of the corpus callosum. This method, focused specifically at addressing the challenges of fetal brain imaging, avoids depending on a tractography atlas, and handles variations in size, shape, and tissue properties of developing brains, both between subjects and across ages. Although tractography from in utero MRI generally suffers from a significant number of misleading and missing pathways, we demonstrate the feasibility of extracting the coherent bundle of the corpus callosum while avoiding inappropriate diversions into other tracts.
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48
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Zhang C, Arefin TM, Nakarmi U, Lee CH, Li H, Liang D, Zhang J, Ying L. Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method. Neuroimage 2020; 210:116584. [PMID: 32004717 DOI: 10.1016/j.neuroimage.2020.116584] [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: 10/05/2019] [Revised: 12/23/2019] [Accepted: 01/23/2020] [Indexed: 12/13/2022] Open
Abstract
Diffusion Magnetic Resonance Imaging (dMRI) has shown great potential in probing tissue microstructure and structural connectivity in the brain but is often limited by the lengthy scan time needed to sample the diffusion profile by acquiring multiple diffusion weighted images (DWIs). Although parallel imaging technique has improved the speed of dMRI acquisition, attaining high resolution three dimensional (3D) dMRI on preclinical MRI systems remained still time consuming. In this paper, kernel principal component analysis, a machine learning approach, was employed to estimate the correlation among DWIs. We demonstrated the feasibility of such correlation estimation from low-resolution training DWIs and used the correlation as a constraint to reconstruct high-resolution DWIs from highly under-sampled k-space data, which significantly reduced the scan time. Using full k-space 3D dMRI data of post-mortem mouse brains, we retrospectively compared the performance of the so-called kernel low rank (KLR) method with a conventional compressed sensing (CS) method in terms of image quality and ability to resolve complex fiber orientations and connectivity. The results demonstrated that the KLR-CS method outperformed the conventional CS method for acceleration factors up to 8 and was likely to enhance our ability to investigate brain microstructure and connectivity using high-resolution 3D dMRI.
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Affiliation(s)
- Chaoyi Zhang
- Electrical Engineering, University at Buffalo, State University of New York, Buffalo, NY, United States
| | - Tanzil Mahmud Arefin
- Radiology, New York University School of Medicine, New York City, NY, United States
| | - Ukash Nakarmi
- Radiology, Stanford University, Stanford, CA, United States
| | - Choong Heon Lee
- Radiology, New York University School of Medicine, New York City, NY, United States
| | - Hongyu Li
- Electrical Engineering, University at Buffalo, State University of New York, Buffalo, NY, United States
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, People's Republic of China
| | - Jiangyang Zhang
- Radiology, New York University School of Medicine, New York City, NY, United States
| | - Leslie Ying
- Electrical Engineering, University at Buffalo, State University of New York, Buffalo, NY, United States; Biomedical Engineering, University at Buffalo, State University at New York, Buffalo, NY, United States.
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49
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Allen B, Muldoon MF, Gianaros PJ, Thayer JF, Jennings JR. The prospective relationship between prehypertension, race, and whole-brain white matter microstructure. J Hum Hypertens 2020; 34:82-89. [PMID: 30804463 PMCID: PMC6708769 DOI: 10.1038/s41371-019-0184-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 02/08/2019] [Accepted: 02/12/2019] [Indexed: 11/24/2022]
Abstract
Compared with whites, blacks develop hypertension earlier in life, progress from prehypertension to hypertension at an accelerated rate, and exhibit greater hypertension-mediated organ damage (e.g., kidney disease, stroke). In this paper, we tested whether the longitudinal associations between elevated systolic blood pressure and disruption of brain white matter structural integrity differ as a function of race. A community sample of 100 middle-aged adults with prehypertension underwent diffusion imaging to quantify indirect metrics of white matter structural integrity, including fractional anisotropy. Blood pressure and diffusion imaging measurements were collected at baseline and at a 2-year follow-up. Regression analyses showed that higher systolic blood pressure at baseline was associated with a decrease in fractional anisotropy over 2 years in blacks only (β = -0.51 [95% CI = -0.85, -0.16], t = -2.93, p = 0.004, ΔR2 = 0.09). These findings suggest that blacks are more susceptible to the impact of systolic prehypertension on white matter structural integrity.
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Affiliation(s)
- Ben Allen
- Department of Psychology, University of Tennessee, Knoxville, TN, USA.
| | - Matthew F Muldoon
- Heart and Vascular Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Peter J Gianaros
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Julian F Thayer
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - J Richard Jennings
- Department of Psychiatry & Psychology, University of Pittsburgh, Pittsburgh, PA, USA
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50
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Hammans C, Neugebauer K, Kumar V, Mevissen L, Sternkopf MA, Novakovic A, Wensing T, Habel U, Abel T, Nickl-Jockschat T. BDNF Serum Levels are Associated With White Matter Microstructure in Schizophrenia - A Pilot Study. Front Psychiatry 2020; 11:31. [PMID: 32153434 PMCID: PMC7046752 DOI: 10.3389/fpsyt.2020.00031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/10/2020] [Indexed: 11/21/2022] Open
Abstract
Brain derived neurotrophic factor (BDNF) has been implicated in the pathophysiology of schizophrenia. As BDNF regulates axonal and dendritic growth, altered BDNF levels in schizophrenia patients might underlie changes in structural connectivity that have been identified by magnetic resonance imaging (MRI). We investigated a possible correlation between BDNF serum levels, fiber tract architecture, and regional grey matter volumes in 19 schizophrenia patients and a gender- and age-matched control group. Two patients had to be excluded due to abnormalities in their MRI scans. Serum samples were obtained to determine BDNF levels, and T1- as well as diffusion-weighted sequences were acquired. We, then, investigated correlations between BDNF serum levels with neuroimaging parameters, using Voxel-based Morphometry (VBM) and Tract-based Spatial Statistics (TBSS). We found a significant negative correlation between BDNF serum levels and FA values in the right inferior fronto-occipital fasciculus and the right superior longitudinal fasciculus. These regions also showed a decrease in AD values in schizophrenia patients. Grey matter volumes were reduced in patients but there was no correlation between regional grey matter volumes and BDNF. The right superior longitudinal fasciculus has been repeatedly identified to exhibit microstructural changes in schizophrenia patients. Our findings of a negative correlation between BDNF and FA values in patients might indicate that BDNF is upregulated to compensate decreased structural connectivity as it induces neural plasticity and shows increased levels in damaged tissue. These findings of our pilot study are encouraging leads for future research in larger samples.
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Affiliation(s)
- Christine Hammans
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Kristina Neugebauer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Vinod Kumar
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany.,Department of High-field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany
| | - Lea Mevissen
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Melanie A Sternkopf
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Ana Novakovic
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Tobias Wensing
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Ted Abel
- Carver College of Medicine, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany.,Carver College of Medicine, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States.,Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
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