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Lee K, Mahmud M, Marx D, Yasen W, Sharma O, Ivanidze J, Zan E, Zhou L, Li Y, de Leon MJ, Nordvig AS, Chiang GC. Clinical Arterial Spin-Labeling MR Imaging to Screen for Typical and Atypical Neurodegenerative Disease in the New Era of Alzheimer Treatment. AJNR Am J Neuroradiol 2024; 45:632-636. [PMID: 38485200 PMCID: PMC11288532 DOI: 10.3174/ajnr.a8164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/03/2024] [Indexed: 05/12/2024]
Abstract
The clinical standard of care in the diagnosis of neurodegenerative diseases relies on [18F] FDG-PET/CT or PET MR imaging. Limitations of FDG-PET include cost, the need for IV access, radiation exposure, and availability. Arterial spin-labeling MR imaging has been shown in research settings to be useful as a proxy for FDG-PET in differentiating Alzheimer disease from frontotemporal dementia. However, it is not yet widely used in clinical practice, except in cerebrovascular disease. Here, we present 7 patients, imaged with our routine clinical protocol with diverse presentations of Alzheimer disease and other neurodegenerative diseases, in whom arterial spin-labeling-derived reduced CBF correlated with hypometabolism or amyloid/tau deposition on PET. Our case series illustrates the clinical diagnostic utility of arterial spin-labeling MR imaging as a fast, accessible, and noncontrast screening tool for neurodegenerative disease. Arterial spin-labeling MR imaging can guide patient selection for subsequent PET or fluid biomarker work-up, as well as for possible therapy with antiamyloid monoclonal antibodies.
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Affiliation(s)
- Kevin Lee
- From the Weill Cornell Medical College (K.L., D.M., W.Y.), New York, New York
| | - Meem Mahmud
- Department of Neurology (M.M., A.S.N.), Alzheimer's Disease and Memory Disorders Program, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
| | - Darby Marx
- From the Weill Cornell Medical College (K.L., D.M., W.Y.), New York, New York
| | - Weiye Yasen
- From the Weill Cornell Medical College (K.L., D.M., W.Y.), New York, New York
| | - Omna Sharma
- Weill Cornell Medicine (O.S.), Qatar Foundation, Education City, Doha, Qatar
| | - Jana Ivanidze
- Department of Molecular Imaging and Therapeutics (J.I., E.Z.), Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
| | - Elcin Zan
- Department of Molecular Imaging and Therapeutics (J.I., E.Z.), Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
| | - Liangdong Zhou
- Department of Radiology (L.Z., Y.L., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
| | - Yi Li
- Department of Radiology (L.Z., Y.L., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
| | - Mony J de Leon
- Department of Radiology (L.Z., Y.L., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
| | - Anna S Nordvig
- Department of Neurology (M.M., A.S.N.), Alzheimer's Disease and Memory Disorders Program, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
| | - Gloria C Chiang
- Department of Radiology (L.Z., Y.L., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York
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Savoie FA, Arpin DJ, Vaillancourt DE. Magnetic Resonance Imaging and Nuclear Imaging of Parkinsonian Disorders: Where do we go from here? Curr Neuropharmacol 2024; 22:1583-1605. [PMID: 37533246 DOI: 10.2174/1570159x21666230801140648] [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: 08/10/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 08/04/2023] Open
Abstract
Parkinsonian disorders are a heterogeneous group of incurable neurodegenerative diseases that significantly reduce quality of life and constitute a substantial economic burden. Nuclear imaging (NI) and magnetic resonance imaging (MRI) have played and continue to play a key role in research aimed at understanding and monitoring these disorders. MRI is cheaper, more accessible, nonirradiating, and better at measuring biological structures and hemodynamics than NI. NI, on the other hand, can track molecular processes, which may be crucial for the development of efficient diseasemodifying therapies. Given the strengths and weaknesses of NI and MRI, how can they best be applied to Parkinsonism research going forward? This review aims to examine the effectiveness of NI and MRI in three areas of Parkinsonism research (differential diagnosis, prodromal disease identification, and disease monitoring) to highlight where they can be most impactful. Based on the available literature, MRI can assist with differential diagnosis, prodromal disease identification, and disease monitoring as well as NI. However, more work is needed, to confirm the value of MRI for monitoring prodromal disease and predicting phenoconversion. Although NI can complement or be a substitute for MRI in all the areas covered in this review, we believe that its most meaningful impact will emerge once reliable Parkinsonian proteinopathy tracers become available. Future work in tracer development and high-field imaging will continue to influence the landscape for NI and MRI.
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Affiliation(s)
- Félix-Antoine Savoie
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
| | - David J Arpin
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
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The role of the autonomic nervous system in cerebral blood flow regulation in dementia: A review. Auton Neurosci 2022; 240:102985. [DOI: 10.1016/j.autneu.2022.102985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 02/28/2022] [Accepted: 04/28/2022] [Indexed: 11/19/2022]
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Ssali T, Narciso L, Hicks J, Liu L, Jesso S, Richardson L, Günther M, Konstandin S, Eickel K, Prato F, Anazodo UC, Finger E, St Lawrence K. Concordance of regional hypoperfusion by pCASL MRI and 15O-water PET in frontotemporal dementia: Is pCASL an efficacious alternative? Neuroimage Clin 2022; 33:102950. [PMID: 35134705 PMCID: PMC8829802 DOI: 10.1016/j.nicl.2022.102950] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/21/2022] [Accepted: 01/25/2022] [Indexed: 12/11/2022]
Abstract
ASL is an alternative to 15O-water for identifying hypoperfusion in FTD patients. ROI-based perfusion by ASL and 15O-water were strongly correlated (R > 0.75). Hypoperfusion patterns identified by 15O-water and ASL were in good agreement. Careful selection of the reference region is required to avoid erroneous results.
Background Clinical diagnosis of frontotemporal dementia (FTD) remains a challenge due to the overlap of symptoms among FTD subtypes and with other psychiatric disorders. Perfusion imaging by arterial spin labeling (ASL) is a promising non-invasive alternative to established PET techniques; however, its sensitivity to imaging parameters can hinder its ability to detect perfusion abnormalities. Purpose This study evaluated the similarity of regional hypoperfusion patterns detected by ASL relative to the gold standard for imaging perfusion, PET with radiolabeled water (15O-water). Methods and materials Perfusion by single-delay pseudo continuous ASL (SD-pCASL), free-lunch Hadamard encoded pCASL (FL_TE-pCASL), and 15O-water data were acquired on a hybrid PET/MR scanner in 13 controls and 9 FTD patients. Cerebral blood flow (CBF) by 15O-water was quantified by a non-invasive approach (PMRFlow). Regional hypoperfusion was determined by comparing individual patients to the control group. This was performed using absolute (aCBF) and CBF normalized to whole-brain perfusion (rCBF). Agreement was assessed based on the fraction of overlapping voxels. Sensitivity and specificity of pCASL was estimated using hypoperfused regions of interest identified by 15O-water. Results Region of interest (ROI) based perfusion measured by 15O-water strongly correlated with SD-pCASL (R = 0.85 ± 0.1) and FL_TE-pCASL (R = 0.81 ± 0.14). Good agreement in terms of regional hypoperfusion patterns was found between 15O-water and SD-pCASL (sensitivity = 70%, specificity = 78%) and between 15O-water and FL_TE-pCASL (sensitivity = 71%, specificity = 73%). However, SD-pCASL showed greater overlap (43.4 ± 21.3%) with 15O-water than FL_TE-pCASL (29.9 ± 21.3%). Although aCBF and rCBF showed no significant differences regarding spatial overlap and metrics of agreement with 15O-water, rCBF showed considerable variability across subtypes, indicating that care must be taken when selecting a reference region. Conclusions This study demonstrates the potential of pCASL for assessing regional hypoperfusion related to FTD and supports its use as a cost-effective alternative to PET.
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Affiliation(s)
- Tracy Ssali
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada.
| | - Lucas Narciso
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Justin Hicks
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Linshan Liu
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Sarah Jesso
- Lawson Health Research Institute, London, Canada; St. Joseph's Health Care, London, Canada
| | - Lauryn Richardson
- Lawson Health Research Institute, London, Canada; St. Joseph's Health Care, London, Canada
| | - Matthias Günther
- Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany; University Bremen, Bremen, Germany
| | - Simon Konstandin
- Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany; Mediri GmbH, Heidelberg, Germany
| | | | - Frank Prato
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Udunna C Anazodo
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada
| | - Elizabeth Finger
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada; Department of Clinical Neurological Sciences, Western University, London, Canada
| | - Keith St Lawrence
- Lawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada
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Investigation of changes in the activity and function of dry eye-associated brain regions using the amplitude of low-frequency fluctuations method. Biosci Rep 2022; 42:230592. [PMID: 34981112 PMCID: PMC8753344 DOI: 10.1042/bsr20210941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 10/21/2021] [Accepted: 12/09/2021] [Indexed: 12/30/2022] Open
Abstract
Objective: The local characteristics of spontaneous brain activity in patients with dry eye (DE) and its relationship with clinical characteristics were evaluated using the amplitude of low-frequency fluctuations (ALFF) method. Methods: A total of 27 patients with DE (10 males and 17 females) and 28 healthy controls (HCs) (10 males and 18 females) were recruited, matched according to sex, age, weight and height, classified into the DE and HC groups, and examined using functional magnetic resonance imaging (fMRI) scans. Spontaneous brain activity changes were recorded using ALFF technology. Data were recorded and plotted on the receiver operating characteristic (ROC) curve, reflecting changes in activity in different brain areas. Finally, Pearson correlation analysis was used to calculate the potential relationship between spontaneous brain activity abnormalities in multiple brain regions and clinical features in patients with DE. GraphPad Prism 8 (GraphPad Software, Inc.) was used to analyze the linear correlation between the Hospital Anxiety and Depression Scale and ALFF value. Results: Compared with HCs, the ALFF values of patients with DE were decreased in the right middle frontal gyrus (MFG)/right inferior orbitofrontal cortex (OFC), left triangle inferior frontal gyrus, left MFG, and right superior frontal gyrus. In contrast, the ALFF value of patients with DE was increased in the left calcarine. Conclusion: There are significant fluctuations in the ALFF value of specific brain regions in patients with DE versus HCs. This corroborates previous evidence showing that the symptoms of ocular surface damage in patients with DE are related to dysfunction in specific brain areas.
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Xu YL, Wang XY, Chen J, Kang M, Wang YX, Zhang LJ, Shu HY, Liao XL, Zou J, Wei H, Ling Q, Shao Y. Altered Spontaneous Brain Activity Patterns of Meibomian Gland Dysfunction in Severely Obese Population Measured Using the Fractional Amplitude of Low-Frequency Fluctuations. Front Psychiatry 2022; 13:914039. [PMID: 35633781 PMCID: PMC9130486 DOI: 10.3389/fpsyt.2022.914039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 04/14/2022] [Indexed: 12/01/2022] Open
Abstract
OBJECTIVE Utilizing the fractional amplitude of low-frequency fluctuations (fALFF) technique, this study sought to correlate spontaneous cerebral abnormalities with the clinical manifestations of meibomian gland dysfunction (MGD) in severely obese (SO) population. SUBJECTS AND METHODS Twelve MGD patients in SO population (PATs) (4 males and 8 females) and twelve healthy controls (HCs) (6 males and 6 females) matched by gender and age were enrolled. Every participant underwent resting-state functional magnetic resonance imaging (rs-MRI) scanning. Spontaneous cerebral activity alterations were examined using the fALFF method. Receiver operating characteristic (ROC) curves were utilized to classify the medial fALFF values of the PATs and HCs. PATs were also asked to complete anxiety and depression score forms, permitting a correlation analysis. RESULTS In contrast with HCs, PATs had prominently increased fALFF values in the left lingual gyrus, the right globus pallidus, the right anterior cingulate and paracingulate gyri and the left middle occipital lobe (P < 0.05), and decreased fALFF values in the right cerebellum, the left fusiform gyrus, the right medial orbitofrontal gyrus, the left triangle inferior frontal gyrus and the left inferior parietal gyrus (P < 0.05). The results of the ROC curve indicated that changes in regional fALFF values might help diagnose MGD in SO population. Moreover, fALFF values in the right cerebellum of PATs were positively correlated with hospital anxiety and depression scores (HADS) (r = 0.723, P = 0.008). The fALFF values in the left triangle inferior frontal gyrus of PAT were negatively correlated with HADS (r = -0.651, P = 0.022). CONCLUSIONS Aberrant spontaneous activity was observed in multiple regions of the cerebrum, offering helpful information about the pathology of MGD in SO population. Aberrant fALFF values in these regions likely relates to the latent pathologic mechanisms of anomalous cerebral activities in PATs.
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Affiliation(s)
- Yu-Ling Xu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiao-Yu Wang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jun Chen
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Min Kang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yi-Xin Wang
- Department of Ophthalmology and Visual Sciences, Cardiff University, Cardiff, United Kingdom
| | - Li-Juan Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hui-Ye Shu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xu-Lin Liao
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Jie Zou
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hong Wei
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qian Ling
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Perepezko K, Naaz F, Wagandt C, Dissanayaka NN, Mari Z, Nanavati J, Bakker A, Pontone GM. Anxiety in Parkinson's Disease: A Systematic Review of Neuroimaging Studies. J Neuropsychiatry Clin Neurosci 2021; 33:280-294. [PMID: 34280319 DOI: 10.1176/appi.neuropsych.20110272] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE The mechanisms and neuronal networks associated with anxiety in Parkinson's disease (PD) are incompletely understood. One of the best tools for investigating both component function and neuronal networks associated with psychiatric symptoms is functional MRI (fMRI). Unlike structural scans, functional scans, whether task-based or resting-state, are more likely to be clinically relevant and sensitive to changes related to treatment. The investigators provide a comprehensive review of and present results for imaging studies of anxiety in PD. METHODS A systematic review of the literature on fMRI and anxiety in PD was conducted, and the quality of all included studies was simultaneously assessed. Eighteen studies were included: 15 studies assessed anxiety directly, and three evaluated emotional processing. Imaging methodology and behavioral assessments varied across studies, preventing direct comparison of results in most cases. RESULTS There was a convergence in findings across methods, implicating involvement of the amygdala, caudate, and putamen in association with anxiety in PD. For both task-based activation and resting-state connectivity, dopamine medication status was associated with differences in activation and behavioral function. CONCLUSIONS Although there is little consensus in the current fMRI literature studying anxiety in PD, these results suggest an overlap between structures classically involved in the brain's fear circuit (particularly the amygdala) and the alterations in the nigro-striatal system (e.g., the caudate and putamen and on-off dopamine findings) related to PD and its dopaminergic treatments.
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Affiliation(s)
- Kate Perepezko
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
| | - Farah Naaz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
| | - Carrie Wagandt
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
| | - Nadeeka N Dissanayaka
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
| | - Zoltan Mari
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
| | - Julie Nanavati
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
| | - Arnold Bakker
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
| | - Gregory M Pontone
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Perepezko, Bakker); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine (Naaz, Wagandt, Nanavati, Bakker, Pontone); University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, Australia (Dissanayaka); School of Psychology, University of Queensland (Dissanayaka); Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia (Dissanayaka); Department of Neurology, Johns Hopkins University School of Medicine (Mari, Bakker, Pontone); and Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas (Mari)
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Liu Z, Zhang Y, Wang H, Xu D, You H, Zuo Z, Feng F. Altered cerebral perfusion and microstructure in advanced Parkinson's disease and their associations with clinical features. Neurol Res 2021; 44:47-56. [PMID: 34313185 DOI: 10.1080/01616412.2021.1954842] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To explore the whole cerebral perfusion and microstructure alteration patterns in Parkinson's disease (PD) and the associations of these patterns with clinical features. METHODS Forty-one subjects [20 PD patients and 21 healthy controls (HCs)] underwent arterial spin labeling (ASL), diffusion tensor imaging (DTI) and 3D T1-weighted imaging (T1WI) MRI. The cerebral blood flow (CBF) of the whole brain and the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of subcortical and cerebellar regions were measured and compared between groups. Pearson's correlation was calculated between MRI measurements and clinical features [Unified Parkinson's Disease Rating Scale (UPDRS), UPDRS III, Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and olfactory test scores]. RESULTS Compared to HCs, PD patients showed lower CBF in the frontal, parietal and temporal lobes but higher CBF in bilateral hippocampi, red nuclei, right substantia nigra, thalamus and most cerebellar regions. The MD in the right thalamus and several regions in the cerebellum increased in PD compared to HCs. In PD patients, the total UPDRS, UPDRS III, MoCA, MMSE and olfactory test scores were related to FA or CBF in cerebellum. (all p < 0.05). CONCLUSION Hypoperfusion in cortical regions, together with hyperperfusion in subcortical and cerebellar regions may be the characteristic perfusion pattern in advanced PD patients. The microstructures of the right thalamus and cerebellum were changed in PD patients. The cognitive, motor and olfactory performance of PD patients is closely related to the perfusion and microstructure of the brain, especially the cerebellum.
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Affiliation(s)
- Zhaoxi Liu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yiwei Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Han Wang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Dan Xu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hui You
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Zhentao Zuo
- Brain Mapping Center, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Feng Feng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
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