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Liu SW, Ma XT, Yu S, Weng XF, Li M, Zhu J, Liu CF, Hu H. Bridging Reduced Grip Strength and Altered Executive Function: Specific Brain White Matter Structural Changes in Patients with Alzheimer's Disease. Clin Interv Aging 2024; 19:93-107. [PMID: 38250174 PMCID: PMC10799618 DOI: 10.2147/cia.s438782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
Objective To investigate the correlation between specific fiber tracts and grip strength and cognitive function in patients with Alzheimer's disease (AD) by fixel-based analysis (FBA). Methods AD patients were divided into AD with low grip strength (AD-LGS, n=29) and AD without low grip strength (AD-nLGS, n=25), along with 31 normal controls (NC). General data, neuropsychological tests, grip strength and cranial magnetic resonance imaging (MRI) scans were collected. FBA evaluated white matter (WM) fiber metrics, including fiber density (FD), fiber cross-sectional (FC), and fiber density and cross-sectional area (FDC). The mean fiber indicators of the fiber tracts of interest (TOI) were extracted in cerebral region of significant statistical differences in FBA to further compare the differences between groups and analyze the correlation between fiber properties and neuropsychological test scores. Results Compared to AD-nLGS group, AD-LGS group showed significant reductions in FDC in several cerebral regions. In AD patients, FDC values of bilateral uncinate fasciculus and left superior longitudinal fasciculus were positively correlated with Clock Drawing Test scores, while FDC of splenium of corpus callosum, bilateral anterior cingulate tracts, forceps major, and bilateral inferior longitudinal fasciculus were positively correlated with the Executive Factor Score of Memory and Executive Screening scale scores. Conclusion Reduced grip strength in AD patients is associated with extensive impairment of WM structural integrity. Changes in FDC of specific WM fiber tracts related to executive function play a significant mediating role in the reduction of grip strength in AD patients.
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Affiliation(s)
- Shan-Wen Liu
- Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, People’s Republic of China
| | - Xiao-Ting Ma
- Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, People’s Republic of China
| | - Shuai Yu
- Department of Neurology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, 215000, People’s Republic of China
| | - Xiao-Fen Weng
- Department of Geriatric Medicine, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, 215000, People’s Republic of China
| | - Meng Li
- Department of Imaging, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, People’s Republic of China
| | - Jiangtao Zhu
- Department of Imaging, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, People’s Republic of China
| | - Chun-Feng Liu
- Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, People’s Republic of China
| | - Hua Hu
- Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, 215004, People’s Republic of China
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Diao Y, Lanz B, Jelescu IO. Subject classification and cross-time prediction based on functional connectivity and white matter microstructure features in a rat model of Alzheimer's using machine learning. Alzheimers Res Ther 2023; 15:193. [PMID: 37936236 PMCID: PMC10629161 DOI: 10.1186/s13195-023-01328-0] [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: 04/11/2023] [Accepted: 10/09/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND The pathological process of Alzheimer's disease (AD) typically takes decades from onset to clinical symptoms. Early brain changes in AD include MRI-measurable features such as altered functional connectivity (FC) and white matter degeneration. The ability of these features to discriminate between subjects without a diagnosis, or their prognostic value, is however not established. METHODS The main trigger mechanism of AD is still debated, although impaired brain glucose metabolism is taking an increasingly central role. Here, we used a rat model of sporadic AD, based on impaired brain glucose metabolism induced by an intracerebroventricular injection of streptozotocin (STZ). We characterized alterations in FC and white matter microstructure longitudinally using functional and diffusion MRI. Those MRI-derived measures were used to classify STZ from control rats using machine learning, and the importance of each individual measure was quantified using explainable artificial intelligence methods. RESULTS Overall, combining all the FC and white matter metrics in an ensemble way was the best strategy to discriminate STZ rats, with a consistent accuracy over 0.85. However, the best accuracy early on was achieved using white matter microstructure features, and later on using FC. This suggests that consistent damage in white matter in the STZ group might precede FC. For cross-timepoint prediction, microstructure features also had the highest performance while, in contrast, that of FC was reduced by its dynamic pattern which shifted from early hyperconnectivity to late hypoconnectivity. CONCLUSIONS Our study highlights the MRI-derived measures that best discriminate STZ vs control rats early in the course of the disease, with potential translation to humans.
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Affiliation(s)
- Yujian Diao
- Animal Imaging and Technology Section, CIBM Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Laboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Bernard Lanz
- Animal Imaging and Technology Section, CIBM Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Ileana Ozana Jelescu
- Animal Imaging and Technology Section, CIBM Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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Balajoo SM, Eickhoff SB, Masouleh SK, Plachti A, Waite L, Saberi A, Bahri MA, Bastin C, Salmon E, Hoffstaedter F, Palomero-Gallagher N, Genon S. Hippocampal metabolic subregions and networks: Behavioral, molecular, and pathological aging profiles. Alzheimers Dement 2023; 19:4787-4804. [PMID: 37014937 PMCID: PMC10698199 DOI: 10.1002/alz.13056] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 04/06/2023]
Abstract
INTRODUCTION Hippocampal local and network dysfunction is the hallmark of Alzheimer's disease (AD). METHODS We characterized the spatial patterns of hippocampus differentiation based on brain co-metabolism in healthy elderly participants and demonstrated their relevance to study local metabolic changes and associated dysfunction in pathological aging. RESULTS The hippocampus can be differentiated into anterior/posterior and dorsal cornu ammonis (CA)/ventral (subiculum) subregions. While anterior/posterior CA show co-metabolism with different regions of the subcortical limbic networks, the anterior/posterior subiculum are parts of cortical networks supporting object-centered memory and higher cognitive demands, respectively. Both networks show relationships with the spatial patterns of gene expression pertaining to cell energy metabolism and AD's process. Finally, while local metabolism is generally lower in posterior regions, the anterior-posterior imbalance is maximal in late mild cognitive impairment with the anterior subiculum being relatively preserved. DISCUSSION Future studies should consider bidimensional hippocampal differentiation and in particular the posterior subicular region to better understand pathological aging.
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Affiliation(s)
- Somayeh Maleki Balajoo
- Institute of Systems Neuroscience, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
| | - Simon B. Eickhoff
- Institute of Systems Neuroscience, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
| | - Shahrzad Kharabian Masouleh
- Institute of Systems Neuroscience, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
| | - Anna Plachti
- Institute of Systems Neuroscience, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Laura Waite
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
| | - Amin Saberi
- Institute of Systems Neuroscience, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
- Otto Hahn Research Group for Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
- Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
| | - Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine (INM‑1), Research Centre Juelich, Juelich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
- Cécile and Oskar Vogt Institute for Brain Research, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Sarah Genon
- Institute of Systems Neuroscience, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Juelich, Juelich, Germany
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
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Guo NW, Chou W, Kuo JR, Liao YC, Chuang MT, Su BY. The executive functions among patients with an initial Glasgow coma scale score of 15. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-9. [PMID: 37878502 DOI: 10.1080/23279095.2023.2266080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
Executive functions (EF) were the critical neuropsychological functions linked to long-term adaptation. Given the heterogeneous prognosis trajectories of mild traumatic brain jury (mTBI), the mildest TBI may not always be benign in the chronic stage. The present study explored the long-term EF in patients with chronic complicated mTBI and a Glasgow Coma Scale (GCS) score of 15. Fifty patients with complicated mTBI and GCS scores of 15 and 35 control participants were recruited in this study. Medical records were retrospectively analyzed, and neuropsychological assessments and subjective measures examined the neuropsychological functions. Compared with healthy controls, complicated mTBI patients with a GCS score of 15 performed significantly worse on most EF assessments, including longer reaction time (RT) and poor cognitive flexibility and abstract reasoning performances. Patients also reported more EF problems and lower quality of life (QoL) than healthy controls. Females and those with subdural hematoma (SDH) had significantly longer reaction times (RT) on executive attention tests. This study found that complicated mTBI with a GCS score of 15 had incomplete recovery of EF, even in the chronic stage. We suggest that early neuropsychological assessment and rehabilitation should be arranged for such patients.
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Affiliation(s)
- Nai-Wen Guo
- Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Willy Chou
- Department of Physical Medicine and Rehabilitation, Chi-Mei Medical Center, Chiali, Taiwan
- Department of Physical Medicine and Rehabilitation, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Jinn-Rung Kuo
- Department of Neurosurgery, Chi-Mei Medical Center, Tainan, Taiwan
- Department of Post-Baccalaureate Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Yu-Chi Liao
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Ming-Tsung Chuang
- Department of Diagnostic Radiology, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Bei-Yi Su
- Department of Psychology, Chung Shan Medical University, Taichung, Taiwan
- Clinical Psychological Room, Chung Shan Medical University Hospital, Taichung, Taiwan
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Tseng WYI, Hsu YC, Kao TW. Brain Age Difference at Baseline Predicts Clinical Dementia Rating Change in Approximately Two Years. J Alzheimers Dis 2022; 86:613-627. [PMID: 35094993 DOI: 10.3233/jad-215380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The Clinical Dementia Rating (CDR) has been widely used to assess dementia severity, but it is limited in predicting dementia progression, thus unable to advise preventive measures to those who are at high risk. OBJECTIVE Predicted age difference (PAD) was proposed to predict CDR change. METHODS All diffusion magnetic resonance imaging and CDR scores were obtained from the OASIS-3 databank. A brain age model was trained by a machine learning algorithm using the imaging data of 258 cognitively healthy adults. Two diffusion indices, i.e., mean diffusivity and fractional anisotropy, over the whole brain white matter were extracted to serve as the features for model training. The validated brain age model was applied to a longitudinal cohort of 217 participants who had CDR = 0 (CDR0), 0.5 (CDR0.5), and 1 (CDR1) at baseline. Participants were grouped according to different baseline CDR and their subsequent CDR in approximately 2 years of follow-up. PAD was compared between different groups with multiple comparison correction. RESULTS PADs were significantly different among participants with different baseline CDRs. PAD in participants with relatively stable CDR0.5 was significantly smaller than PAD in participants who had CDR0.5 at baseline but converted to CDR1 in the follow-up. Similarly, participants with relatively stable CDR0 had significantly smaller PAD than those who were CDR0 at baseline but converted to CDR0.5 in the follow-up. CONCLUSION Our results imply that PAD might be a potential imaging biomarker for predicting CDR outcomes in patients with CDR0 or CDR0.5.
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Affiliation(s)
- Wen-Yih Isaac Tseng
- AcroViz Inc. Taipei, Taiwan (R.O.C.).,Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan (R.O.C.).,Molecular Imaging Center, National Taiwan University, Taipei, Taiwan (R.O.C.)
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6
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Chang YL, Luo DH, Huang TR, Goh JOS, Yeh SL, Fu LC. Identifying Mild Cognitive Impairment by Using Human-Robot Interactions. J Alzheimers Dis 2021; 85:1129-1142. [PMID: 34897086 DOI: 10.3233/jad-215015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Mild cognitive impairment (MCI), which is common in older adults, is a risk factor for dementia. Rapidly growing health care demand associated with global population aging has spurred the development of new digital tools for the assessment of cognitive performance in older adults. OBJECTIVE To overcome methodological drawbacks of previous studies (e.g., use of potentially imprecise screening tools that fail to include patients with MCI), this study investigated the feasibility of assessing multiple cognitive functions in older adults with and without MCI by using a social robot. METHODS This study included 33 older adults with or without MCI and 33 healthy young adults. We examined the utility of five robotic cognitive tests focused on language, episodic memory, prospective memory, and aspects of executive function to classify age-associated cognitive changes versus MCI. Standardized neuropsychological tests were collected to validate robotic test performance. RESULTS The assessment was well received by all participants. Robotic tests assessing delayed episodic memory, prospective memory, and aspects of executive function were optimal for differentiating between older adults with and without MCI, whereas the global cognitive test (i.e., Mini-Mental State Examination) failed to capture such subtle cognitive differences among older adults. Furthermore, robot-administered tests demonstrated sound ability to predict the results of standardized cognitive tests, even after adjustment for demographic variables and global cognitive status. CONCLUSION Overall, our results suggest the human-robot interaction approach is feasible for MCI identification. Incorporating additional cognitive test measures might improve the stability and reliability of such robot-assisted MCI diagnoses.
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Affiliation(s)
- Yu-Ling Chang
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan.,Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan.,Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.,Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan
| | - Di-Hua Luo
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan
| | - Tsung-Ren Huang
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan.,Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan.,Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan
| | - Joshua O S Goh
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan.,Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan.,Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Su-Ling Yeh
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan.,Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan.,Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Li-Chen Fu
- Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.,Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.,MOST Joint Research Center for AI Technology and All Vista Healthcare, Taipei, Taiwan
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7
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White matter network disruption and cognitive correlates underlying impaired memory awareness in mild cognitive impairment. NEUROIMAGE-CLINICAL 2021; 30:102626. [PMID: 33780863 PMCID: PMC8039854 DOI: 10.1016/j.nicl.2021.102626] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/03/2021] [Accepted: 03/05/2021] [Indexed: 11/20/2022]
Abstract
Episodic memory deficits are insufficient for explaining memory anosognosia in MCI. Reasoning ability can be used as a basis for identifying memory anosognosia in MCI. Memory anosognosia in MCI is a white matter disconnection syndrome. Frontal-subcortical and callosal fibers are linked to memory anosognosia in MCI.
Decreased awareness of memory declines in mild cognitive impairment (MCI) has been linked to structural or functional changes in a wide gray matter network; however, the underlying white matter pathway correlations for the memory awareness deficits remain unknown. Moreover, consistent findings have not been obtained regarding the cognitive basis of disturbed awareness of memory declines in MCI. Due to the methodological drawbacks (e.g., correlational analysis without controlling confounders related to clinical status, a problem related to the representativeness of the control group) of previous studies on the aforementioned topic, further investigation is required. To addressed the research gaps, this study investigated white matter microstructural integrity and the cognitive correlates of memory awareness in 87 older adults with or without mild cognitive impairment (MCI). The patients with MCI and healthy controls (HCs) were divided into two subgroups, namely those with normal awareness (NA) and poor awareness (PA) for memory deficit, according to the discrepancy scores calculated from the differences between subjective and objective memory evaluations. Only the results for HCs with NA (HC-NA) were compared with those for the two MCI groups (i.e., MCI-NA and MCI-PA). The three groups were matched on demographic and clinical variables. An advanced diffusion imaging technique—diffusion spectrum imaging—was used to investigate the integrity of the white matter tract. The results revealed that although the HC-NA group outperformed the two MCI groups on several cognitive tests, the two MCI groups exhibited comparable performance across different neuropsychological tests, except for the test on reasoning ability. Compared with the other two groups, the MCI-PA group exhibited lower integrity in bilateral frontal-striatal fibers, left anterior thalamocortical radiations, and callosal fibers connecting bilateral inferior parietal regions. These results could not be explained by gray matter morphometric differences. Overall, the results indicated that mnemonic anosognosia was not sufficient to explain the memory awareness deficits observed in the patients with MCI. Our brain imaging findings also support the concept of anosognosia for memory deficit as a disconnection syndrome in MCI.
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8
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Huang C, Kritikos M, Clouston SAP, Deri Y, Serrano-Sosa M, Bangiyev L, Santiago-Michels S, Gandy S, Sano M, Bromet EJ, Luft BJ. White Matter Connectivity in Incident Mild Cognitive Impairment: A Diffusion Spectrum Imaging Study of World Trade Center Responders at Midlife. J Alzheimers Dis 2021; 80:1209-1219. [PMID: 33646156 PMCID: PMC8150516 DOI: 10.3233/jad-201237] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: Individuals who participated in response efforts at the World Trade Center (WTC) following 9/11/2001 are experiencing elevated incidence of mild cognitive impairment (MCI) at midlife. Objective: We hypothesized that white matter connectivity measured using diffusion spectrum imaging (DSI) would be restructured in WTC responders with MCI versus cognitively unimpaired responders. Methods: Twenty responders (mean age 56; 10 MCI/10 unimpaired) recruited from an epidemiological study were characterized using NIA-AA criteria alongside controls matched on demographics (age/sex/occupation/race/education). Axial DSI was acquired on a 3T Siemen’s Biograph mMR scanner (12-channel head coil) using a multi-band diffusion sequence. Connectometry examined whole-brain tract-level differences in white matter integrity. Fractional anisotropy (FA), mean diffusivity (MD), and quantified anisotropy were extracted for region of interest (ROI) analyses using the Desikan-Killiany atlas. Results: Connectometry identified both increased and decreased connectivity within regions of the brains of responders with MCI identified in the corticothalamic pathway and cortico-striatal pathway that survived adjustment for multiple comparisons. MCI was also associated with higher FA values in five ROIs including in the rostral anterior cingulate; lower MD values in four ROIs including the left rostral anterior cingulate; and higher MD values in the right inferior circular insula. Analyses by cognitive domain revealed nominal associations in domains of response speed, verbal learning, verbal retention, and visuospatial learning. Conclusions: WTC responders with MCI at midlife showed early signs of neurodegeneration characterized by both increased and decreased white matter diffusivity in regions commonly affected by early-onset Alzheimer’s disease.
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Affiliation(s)
- Chuan Huang
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Minos Kritikos
- Program in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Sean A P Clouston
- Program in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Yael Deri
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
| | - Mario Serrano-Sosa
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Lev Bangiyev
- Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Stephanie Santiago-Michels
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
| | - Sam Gandy
- Center for Cognitive Health and NFL Neurological Care, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mount Sinai Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mary Sano
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.,Center for Cognitive Health and NFL Neurological Care, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Evelyn J Bromet
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Benjamin J Luft
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
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9
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White matter pathways underlying Chinese semantic and phonological fluency in mild cognitive impairment. Neuropsychologia 2020; 149:107671. [PMID: 33189733 DOI: 10.1016/j.neuropsychologia.2020.107671] [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: 07/02/2020] [Revised: 11/01/2020] [Accepted: 11/02/2020] [Indexed: 12/21/2022]
Abstract
Neuroimaging evidence has suggested that Chinese-language processing differs from that of its alphabetic-language counterparts. However, the underlying white matter pathway correlations between semantic and phonological fluency in Chinese-language processing remain unknown. Thus, we investigated the differences between two verbal fluency tests on 50 participants with amnestic mild cognitive impairment (aMCI) and 36 healthy controls (HC) with respect to five groups (ventral and dorsal stream fibers, frontal-striatal fibers, hippocampal-related fibers, and the corpus callosum) of white matter microstructural integrity. Diffusion spectrum imaging was used. The results revealed a progressive reduction in advantage in semantic fluency relative to phonological fluency from HC to single-domain aMCI to multidomain aMCI. Common and dissociative white matter correlations between tests of the two types of fluency were identified. Both types of fluency relied on the corpus callosum and ventral stream fibers, semantic fluency relied on the hippocampal-related fibers, and phonological fluency relied on the dorsal stream and frontal-striatal fibers. The involvement of bilateral tracts of interest as well as the association with the corpus callosum indicate the uniqueness of Chinese-language fluency processing. Dynamic associations were noted between white matter tract involvement and performance on the two fluency tests in four time blocks. Overall, our findings suggest the clinical utility of verbal fluency tests in geriatric populations, and they elucidate both task-specific and language-specific brain-behavior associations.
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Rosas HD, Hsu E, Mercaldo ND, Lai F, Pulsifer M, Keator D, Brickman AM, Price J, Yassa M, Hom C, Krinsky‐McHale SJ, Silverman W, Lott I, Schupf N. Alzheimer-related altered white matter microstructural integrity in Down syndrome: A model for sporadic AD? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12040. [PMID: 33204811 PMCID: PMC7648416 DOI: 10.1002/dad2.12040] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/14/2020] [Accepted: 02/19/2020] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Virtually all adults with Down syndrome (DS) develop Alzheimer's disease (AD)-associated neuropathology by the age of 40, with risk for dementia increasing from the early 50s. White matter (WM) pathology has been reported in sporadic AD, including early demyelination, microglial activation, loss of oligodendrocytes and reactive astrocytes but has not been extensively studied in the at-risk DS population. METHODS Fifty-six adults with DS (35 cognitively stable adults, 11 with mild cognitive impairment, 10 with dementia) underwent diffusion-weighted magnetic resonance imaging (MRI), amyloid imaging, and had assessments of cognition and functional abilities using tasks appropriate for persons with intellectual disability. RESULTS Early changes in late-myelinating and relative sparing of early-myelinating pathways, consistent with the retrogenesis model proposed for sporadic AD, were associated with AD-related cognitive deficits and with regional amyloid deposition. DISCUSSION Our findings suggest that quantification of WM changes in DS could provide a promising and clinically relevant biomarker for AD clinical onset and progression.
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Affiliation(s)
- H. Diana Rosas
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Eugene Hsu
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Nathaniel D. Mercaldo
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Florence Lai
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Margaret Pulsifer
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - David Keator
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Adam M. Brickman
- G. H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Julie Price
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Michael Yassa
- Department of Neurobiology and BehaviorUniversity of CaliforniaCalifornia, USAIrvine
| | - Christy Hom
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | | | - Wayne Silverman
- Kennedy Krieger InstituteJohns Hopkins University School of Medicine, BaltimoreMarylandUSA
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ira Lott
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaIrvineCaliforniaUSA
| | - Nicole Schupf
- G. H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
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11
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Tristão Pereira C, Diao Y, Yin T, da Silva AR, Lanz B, Pierzchala K, Poitry-Yamate C, Jelescu IO. Synchronous nonmonotonic changes in functional connectivity and white matter integrity in a rat model of sporadic Alzheimer's disease. Neuroimage 2020; 225:117498. [PMID: 33164858 DOI: 10.1016/j.neuroimage.2020.117498] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/16/2020] [Accepted: 10/18/2020] [Indexed: 12/17/2022] Open
Abstract
Brain glucose hypometabolism has been singled out as an important contributor and possibly main trigger to Alzheimer's disease (AD). Intracerebroventricular injections of streptozotocin (icv-STZ) cause brain glucose hypometabolism without systemic diabetes. Here, a first-time longitudinal study of brain glucose metabolism, functional connectivity and white matter microstructure was performed in icv-STZ rats using PET and MRI. Histological markers of pathology were tested at an advanced stage of disease. STZ rats exhibited altered functional connectivity and intra-axonal damage and demyelination in brain regions typical of AD, in a temporal pattern of acute injury, transient recovery/compensation and chronic degeneration. In the context of sustained glucose hypometabolism, these nonmonotonic trends - also reported in behavioral studies of this animal model as well as in human AD - suggest a compensatory mechanism, possibly recruiting ketone bodies, that allows a partial and temporary repair of brain structure and function. The early acute phase could thus become a valuable therapeutic window to strengthen the recovery phase and prevent or delay chronic degeneration, to be considered both in preclinical and clinical studies of AD. In conclusion, this work reveals the consequences of brain insulin resistance on structure and function, highlights signature nonmonotonic trajectories in their evolution and proposes potent MRI-derived biomarkers translatable to human AD and diabetic populations.
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Affiliation(s)
- Catarina Tristão Pereira
- Centre d'Imagerie Biomédicale, EPFL, Station 6, Lausanne 1015, Switzerland; Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal
| | - Yujian Diao
- Centre d'Imagerie Biomédicale, EPFL, Station 6, Lausanne 1015, Switzerland; Laboratoire d'Imagerie Fonctionnelle et Métabolique, EPFL, Lausanne, Switzerland
| | - Ting Yin
- Centre d'Imagerie Biomédicale, EPFL, Station 6, Lausanne 1015, Switzerland
| | - Analina R da Silva
- Centre d'Imagerie Biomédicale, EPFL, Station 6, Lausanne 1015, Switzerland
| | - Bernard Lanz
- Laboratoire d'Imagerie Fonctionnelle et Métabolique, EPFL, Lausanne, Switzerland
| | | | | | - Ileana O Jelescu
- Centre d'Imagerie Biomédicale, EPFL, Station 6, Lausanne 1015, Switzerland.
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12
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Guarino A, Forte G, Giovannoli J, Casagrande M. Executive functions in the elderly with mild cognitive impairment: a systematic review on motor and cognitive inhibition, conflict control and cognitive flexibility. Aging Ment Health 2020; 24:1028-1045. [PMID: 30938193 DOI: 10.1080/13607863.2019.1584785] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: Mild Cognitive Impairment (MCI) is a syndrome characterised by mild cognitive decline, on one or more domains, but which does not compromise daily functions. Several studies have investigated the relationship between MCI and deficit in executive functions (EFs) but, unlike robust evidence in the mnestic domain, the nature of executive deficits in the MCI population remains uncertain.Objectives: This systematic review aims to evaluate EFs in patients with MCI, considering inhibition (motor and cognitive), conflict control and cognitive flexibility.Method: The databases used for the search were PUBMED, PsycINFO, PsycARTICLES and MEDLINE. Eligibility criteria: use of specific paradigms for EFs assessment ('Wisconsin Card Sorting Test', 'Stroop Task', 'Go/No-Go Task', 'Flanker Task'); age over 65, studies published in English. Exclusion criteria: presence of dementia; psychiatric disorders; stroke; cranial trauma; inclusion of participants with MCI in groups with healthy elderly or those with dementia.Results: Fifty-five studies were selected, namely: Stroop Task (N = 30), WCST (N = 14), Go/No-Go (N = 9), Flanker Task (N = 2). Results have shown in people with MCI deficits in all the EFs considered.Conclusions: The results of this review support the applicability of the four experimental tasks examined for the study of EFs in people with MCI. These paradigms are useful in research, diagnosis and therapeutic purposes, allowing obtaining an articulated EFs profile that can compromise the daily life in elderly. These EFs are not generally evaluated by standard assessment of MCI, but their evaluation can lead to a better knowledge of MCI and help in the diagnosis and treatment.
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Affiliation(s)
- Angela Guarino
- Dipartimento di Psicologia, Università di Roma Sapienza, Rome, Italy
| | - Giuseppe Forte
- Dipartimento di Psicologia, Università di Roma Sapienza, Rome, Italy
| | | | - Maria Casagrande
- Dipartimento di Psicologia Dinamica e Clinica, Università di Roma Sapienza, Rome, Italy
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13
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Dong JW, Jelescu IO, Ades-Aron B, Novikov DS, Friedman K, Babb JS, Osorio RS, Galvin JE, Shepherd TM, Fieremans E. Diffusion MRI biomarkers of white matter microstructure vary nonmonotonically with increasing cerebral amyloid deposition. Neurobiol Aging 2020; 89:118-128. [PMID: 32111392 PMCID: PMC7314576 DOI: 10.1016/j.neurobiolaging.2020.01.009] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 12/14/2019] [Accepted: 01/14/2020] [Indexed: 01/27/2023]
Abstract
Beta amyloid (Aβ) accumulation is the earliest pathological marker of Alzheimer's disease (AD), but early AD pathology also affects white matter (WM) integrity. We performed a cross-sectional study including 44 subjects (23 healthy controls and 21 mild cognitive impairment or early AD patients) who underwent simultaneous PET-MR using 18F-Florbetapir, and were categorized into 3 groups based on Aβ burden: Aβ- [mean mSUVr ≤1.00], Aβi [1.00 < mSUVr <1.17], Aβ+ [mSUVr ≥1.17]. Intergroup comparisons of diffusion MRI metrics revealed significant differences across multiple WM tracts. Aβi group displayed more restricted diffusion (higher fractional anisotropy, radial kurtosis, axonal water fraction, and lower radial diffusivity) than both Aβ- and Aβ+ groups. This nonmonotonic trend was confirmed by significant continuous correlations between mSUVr and diffusion metrics going in opposite direction for 2 cohorts: pooled Aβ-/Aβi and pooled Aβi/Aβ+. The transient period of increased diffusion restriction may be due to inflammation that accompanies rising Aβ burden. In the later stages of Aβ accumulation, neurodegeneration is the predominant factor affecting diffusion.
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Affiliation(s)
- Jian W Dong
- Department of Radiology, New York University School of Medicine, New York, NY, USA; Department of Radiology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ileana O Jelescu
- Department of Radiology, New York University School of Medicine, New York, NY, USA; Centre d'Imagerie Biomédicale, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Benjamin Ades-Aron
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Dmitry S Novikov
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Kent Friedman
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - James S Babb
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Ricardo S Osorio
- Center for Sleep and Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - James E Galvin
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Boca-Raton, FL, USA
| | - Timothy M Shepherd
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Els Fieremans
- Department of Radiology, New York University School of Medicine, New York, NY, USA.
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14
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Luo X, Jiaerken Y, Huang P, Xu XJ, Qiu T, Jia Y, Shen Z, Guan X, Zhou J, Zhang M. Alteration of regional homogeneity and white matter hyperintensities in amnestic mild cognitive impairment subtypes are related to cognition and CSF biomarkers. Brain Imaging Behav 2018; 12:188-200. [PMID: 28236166 DOI: 10.1007/s11682-017-9680-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Amnestic mild cognitive impairment can be further classified as single-domain aMCI (SD-aMCI) with isolated memory deficit, or multi-domain aMCI (MD-aMCI) if memory deficit is combined with impairment in other cognitive domains. Prior studies reported these clinical subtypes presumably differ in etiology. Thus, we aimed to explore the possible mechanisms between different aMCI subtypes by assessing alteration in brain activity and brain vasculature, and their relations with CSF AD biomarkers. 49 healthy controls, 32 SD-aMCI, and 32 MD-aMCI, who had undergone structural scans, resting-state functional MRI (rsfMRI) scans and neuropsychological evaluations, were identified. Regional homogeneity (ReHo) was employed to analyze regional synchronization. Periventricular white matter hyperintensities (PWMH) and deep WMH (DWMH) volume of each participant was quantitatively assessed. AD biomarkers from CSF were also measured. SD-aMCI showed decreased ReHo in medial temporal gyrus (MTG), and increased ReHo in lingual gyrus (LG) and superior temporal gyrus (STG) relative to controls. MD-aMCI showed decreased ReHo, mostly located in precuneus (PCu), LG and postcentral gyrus (PCG), relative to SD-aMCI and controls. As for microvascular disease, MD-aMCI patients had more PWMH burden than SD-aMCI and controls. Correlation analyses indicated mean ReHo in differenced regions were related with memory, language, and executive function in aMCI patients. However, no significant associations between PWMH and behavioral data were found. The Aβ level was related with the ReHo value of STG in SD-aMCI. MD-aMCI displayed different patterns of abnormal regional synchronization and more severe PWMH burden compared with SD-aMCI. Therefore aMCI is not a uniform disease entity, and MD-aMCI group may show more complicated pathologies than SD-aMCI group.
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Affiliation(s)
- Xiao Luo
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Yerfan Jiaerken
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Peiyu Huang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Xiao Jun Xu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Tiantian Qiu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Yunlu Jia
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Zhujing Shen
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Xiaojun Guan
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China
| | - Jiong Zhou
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou, 310009, China.
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15
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Luo X, Li K, Zeng Q, Huang P, Jiaerken Y, Qiu T, Xu X, Zhou J, Xu J, Zhang M. Decreased Bilateral FDG-PET Uptake and Inter-Hemispheric Connectivity in Multi-Domain Amnestic Mild Cognitive Impairment Patients: A Preliminary Study. Front Aging Neurosci 2018; 10:161. [PMID: 29922150 PMCID: PMC5996941 DOI: 10.3389/fnagi.2018.00161] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 05/14/2018] [Indexed: 12/16/2022] Open
Abstract
Background: Amnestic mild cognitive impairment (aMCI) is a heterogeneous condition. Based on clinical symptoms, aMCI could be categorized into single-domain aMCI (SD-aMCI, only memory deficit) and multi-domain aMCI (MD-aMCI, one or more cognitive domain deficit). As core intrinsic functional architecture, inter-hemispheric connectivity maintains many cognitive abilities. However, few studies investigated whether SD-aMCI and MD-aMCI have different inter-hemispheric connectivity pattern. Methods: We evaluated inter-hemispheric connection pattern using fluorine-18 positron emission tomography - fluorodeoxyglucose (18F PET-FDG), resting-state functional MRI and structural T1 in 49 controls, 32 SD-aMCI, and 32 MD-aMCI patients. Specifically, we analyzed the 18F PET-FDG (intensity normalized by cerebellar vermis) in a voxel-wise manner. Then, we estimated inter-hemispheric functional and structural connectivity by calculating the voxel-mirrored homotopic connectivity (VMHC) and corpus callosum (CC) subregions volume. Further, we correlated inter-hemispheric indices with the behavioral score and pathological biomarkers. Results: We found that MD-aMCI exhibited more several inter-hemispheric connectivity damages than SD-aMCI. Specifically, MD-aMCI displayed hypometabolism in the bilateral middle temporal gyrus (MTG), inferior parietal lobe, and left precuneus (PCu) (p < 0.001, corrected). Correspondingly, MD-aMCI showed decreased VMHC in MTG, PCu, calcarine gyrus, and postcentral gyrus, as well as smaller mid-posterior CC than the SD-aMCI and controls (p < 0.05, corrected). Contrary to MD-aMCI, there were no neuroimaging indices with significant differences between SD-aMCI and controls, except reduced hypometabolism in bilateral MTG. Within aMCI patients, hypometabolism and reduced inter-hemispheric connectivity correlated with worse executive ability. Moreover, hypometabolism indices correlated to increased amyloid deposition. Conclusion: In conclusion, patients with MD-aMCI exhibited the more severe deficit in inter-hemispheric communication than SD-aMCI. This long-range connectivity deficit may contribute to cognitive profiles and potentially serve as a biomarker to estimate disease progression of aMCI patients.
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Affiliation(s)
- Xiao Luo
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Tiantian Qiu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jiong Zhou
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
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16
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Bian R, Zhang Y, Yang Y, Yin Y, Zhao X, Chen H, Yuan Y. White Matter Integrity Disruptions Correlate With Cognitive Impairments in Asthma. J Magn Reson Imaging 2018; 48:748-756. [PMID: 29356252 DOI: 10.1002/jmri.25946] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 12/14/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cognitive impairments are common in asthma, which is a serious global health problem characterized by chronic airway inflammation. However, the underlying neuromechanism is still unclear. PURPOSE/HYPOTHESIS To investigate the neuromechanism underlying cognitive impairments of asthma. We hypothesized that asthma patients exhibit altered white matter (WM) microstructures, which may contribute to their cognitive impairments. STUDY TYPE Case-control study. SUBJECTS 37 patients with asthma (14 male) and 31 healthy controls (10 male). FIELD STRENGTH/SEQUENCE Diffusion tensor imaging (DTI) covering the whole brain was acquired on a 3.0T scanner using a single-shot echo planar imaging sequence. ASSESSMENT A DTI with tract-based spatial statistics (TBSS) approach was used to investigate the whole-brain differences in the WM fractional anisotropy (FA) values. STATISTICAL TESTS Demographic and neuropsychological data were performed using two independent sample t-test or chi-square test or Mann-Whitney rank test. The relationship between cognitive impairments and WM abnormalities was studied using correlation analyses. RESULTS Impairments of language ability, executive function, and visual-spatial processing and widespread WM disruptions reflected by FA reduction were found in asthma patients. The executive function was related to left forceps major, cingulum, and right uncinate fasciculus, ILF (inferior longitudinal fasciculus) positively (P < 0.05). FA abnormalities were positively correlated with duration of asthma and asthma control test (ACT) scores. DATA CONCLUSION Asthma patients display multiple cognitive impairments and universally WM integrity disruptions, among which executive dysfunction closely correlates with WM abnormalities. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Rongrong Bian
- Medical School of Southeast University, Department of Psychosomatics and Psychiatry, Zhongda Hospital, Nanjing, China
| | - Yuqun Zhang
- Medical School of Southeast University, Department of Psychosomatics and Psychiatry, Zhongda Hospital, Nanjing, China
| | - Yuan Yang
- Medical School of Southeast University, Department of Psychosomatics and Psychiatry, Zhongda Hospital, Nanjing, China
| | - Yingying Yin
- Medical School of Southeast University, Department of Psychosomatics and Psychiatry, Zhongda Hospital, Nanjing, China
| | | | - Huanxin Chen
- Key Laboratory of Cognition and Personality, Ministry of Education; School of Psychology, Southwest University, Chongqing, China
| | - Yonggui Yuan
- Medical School of Southeast University, Department of Psychosomatics and Psychiatry, Zhongda Hospital, Nanjing, China
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17
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Yu J, Lam CLM, Lee TMC. White matter microstructural abnormalities in amnestic mild cognitive impairment: A meta-analysis of whole-brain and ROI-based studies. Neurosci Biobehav Rev 2017; 83:405-416. [PMID: 29092777 DOI: 10.1016/j.neubiorev.2017.10.026] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 10/24/2017] [Accepted: 10/27/2017] [Indexed: 12/29/2022]
Abstract
Studies that examined white matter (WM) alterations in amnestic mild cognitive impairment (aMCI) abound. This timely meta-analysis aims to synthesize the results of these studies. Seventy-seven studies (totalNaMCI=1844) were included. Fourteen region-of-interest-based (ROI-based) (k≥8;NaMCI≥284 per ROI) and two activation likelihood estimation (ALE) meta-analyses (fractional anisotropy [FA]: k=15;NaMCI=463; mean diffusivity [MD]: k=8;NaMCI=193) were carried out. Among the many significant ROI-related findings, reliable FA and MD alterations in the fornix, uncinate fasciculus, and parahippocampal cingulum were observed in aMCI. Larger effects were observed in MD relative to FA. The ALE meta-analysis revealed a significant FA decrease among aMCI subjects in the posterior corona radiata. These results provide robust evidence of the presence of WM abnormalities in aMCI. Our findings also highlight the importance of carrying out both ROI-based and whole-brain-based research to obtain a complete picture of WM microstructural alterations associated with the condition..
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Affiliation(s)
- Junhong Yu
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong
| | - Charlene L M Lam
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong
| | - Tatia M C Lee
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong; Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong.
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18
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Liao W, Zhang X, Shu H, Wang Z, Liu D, Zhang Z. The characteristic of cognitive dysfunction in remitted late life depression and amnestic mild cognitive impairment. Psychiatry Res 2017; 251:168-175. [PMID: 28208078 DOI: 10.1016/j.psychres.2017.01.024] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 12/05/2016] [Accepted: 01/09/2017] [Indexed: 11/30/2022]
Abstract
Remitted late life depression exhibits persistent cognitive impairments and enhances the risk of dementia. This study aimed to examine the characteristics of cognitive dysfunction in remitted late life depression and amnestic mild cognitive impairment (MCI). Remitted late life depression (n=61), amnestic MCI (n=61) and age-education-matched controls (n=65) were evaluated with a battery of neuropsychological tests grouped into executive function, memory, processing speed, attention and visuospatial domains. Compared with control subjects, amnestic MCI individuals showed more severe cognitive impairments in all domains, while remitted late life depression individuals performed worse in executive function and memory. The pattern of cognitive profiles significantly differed between remitted late life depression and amnestic MCI groups, which might be mainly attributed to worse impairments in memory and executive function in amnestic MCI individuals. Executive function was the core impaired cognitive domain mediating the influence of predictors on other cognitions in both remitted late life depression and amnestic MCI groups, which indicated a possible etiopathogenic mechanism underlying the conversion to dementia.
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Affiliation(s)
- Wenxiang Liao
- Neurologic Department of Affiliated ZhongDa Hospital, Neuropsychiatric Institute and Medical School of Southeast University, Nanjing, Jiangsu 210009, China
| | - Xiangrong Zhang
- Neurologic Department of Affiliated ZhongDa Hospital, Neuropsychiatric Institute and Medical School of Southeast University, Nanjing, Jiangsu 210009, China; Department of Geriatric Psychiatry Affiliated Nanjing Brain Hospital Nanjing Medical University, Nanjing, Jiangsu 210029, China.
| | - Hao Shu
- Neurologic Department of Affiliated ZhongDa Hospital, Neuropsychiatric Institute and Medical School of Southeast University, Nanjing, Jiangsu 210009, China
| | - Zan Wang
- Neurologic Department of Affiliated ZhongDa Hospital, Neuropsychiatric Institute and Medical School of Southeast University, Nanjing, Jiangsu 210009, China
| | - Duan Liu
- Neurologic Department of Affiliated ZhongDa Hospital, Neuropsychiatric Institute and Medical School of Southeast University, Nanjing, Jiangsu 210009, China
| | - ZhiJun Zhang
- Neurologic Department of Affiliated ZhongDa Hospital, Neuropsychiatric Institute and Medical School of Southeast University, Nanjing, Jiangsu 210009, China.
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19
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Papma JM, Smits M, de Groot M, Mattace Raso FU, van der Lugt A, Vrooman HA, Niessen WJ, Koudstaal PJ, van Swieten JC, van der Veen FM, Prins ND. The effect of hippocampal function, volume and connectivity on posterior cingulate cortex functioning during episodic memory fMRI in mild cognitive impairment. Eur Radiol 2017; 27:3716-3724. [PMID: 28289940 PMCID: PMC5544779 DOI: 10.1007/s00330-017-4768-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 01/10/2017] [Accepted: 02/01/2017] [Indexed: 11/30/2022]
Abstract
Objectives Diminished function of the posterior cingulate cortex (PCC) is a typical finding in early Alzheimer’s disease (AD). It is hypothesized that in early stage AD, PCC functioning relates to or reflects hippocampal dysfunction or atrophy. The aim of this study was to examine the relationship between hippocampus function, volume and structural connectivity, and PCC activation during an episodic memory task-related fMRI study in mild cognitive impairment (MCI). Method MCI patients (n = 27) underwent episodic memory task-related fMRI, 3D-T1w MRI, 2D T2-FLAIR MRI and diffusion tensor imaging. Stepwise linear regression analysis was performed to examine the relationship between PCC activation and hippocampal activation, hippocampal volume and diffusion measures within the cingulum along the hippocampus. Results We found a significant relationship between PCC and hippocampus activation during successful episodic memory encoding and correct recognition in MCI patients. We found no relationship between the PCC and structural hippocampal predictors. Conclusions Our results indicate a relationship between PCC and hippocampus activation during episodic memory engagement in MCI. This may suggest that during episodic memory, functional network deterioration is the most important predictor of PCC functioning in MCI. Key Points • PCC functioning during episodic memory relates to hippocampal functioning in MCI. • PCC functioning during episodic memory does not relate to hippocampal structure in MCI. • Functional network changes are an important predictor of PCC functioning in MCI. Electronic supplementary material The online version of this article (doi:10.1007/s00330-017-4768-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Janne M Papma
- Department of Neurology, Erasmus MC - University Medical Center Rotterdam, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands.
| | - Marion Smits
- Department of Radiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marius de Groot
- Department of Radiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Francesco U Mattace Raso
- Department of Geriatrics, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Henri A Vrooman
- Department of Radiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Wiro J Niessen
- Department of Radiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands.,Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC - University Medical Center Rotterdam, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands
| | - John C van Swieten
- Department of Neurology, Erasmus MC - University Medical Center Rotterdam, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands
| | | | - Niels D Prins
- Alzheimer Center, Department of Neurology, VU University Medical Center, Neuroscience Campus, Amsterdam, The Netherlands
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Scott JA, Tosun D, Braskie MN, Maillard P, Thompson PM, Weiner M, DeCarli C, Carmichael OT. Independent value added by diffusion MRI for prediction of cognitive function in older adults. NEUROIMAGE-CLINICAL 2017; 14:166-173. [PMID: 28180075 PMCID: PMC5279696 DOI: 10.1016/j.nicl.2017.01.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2016] [Revised: 01/15/2017] [Accepted: 01/24/2017] [Indexed: 11/04/2022]
Abstract
The purpose of this study was to determine whether white matter microstructure measured by diffusion magnetic resonance imaging (dMRI) provides independent information about baseline level or change in executive function (EF) or memory (MEM) in older adults with and without cognitive impairment. Longitudinal data was acquired from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study from phases GO and 2 (2009–2015). ADNI participants included were diagnosed as cognitively normal (n = 46), early mild cognitive impairment (MCI) (n = 48), late MCI (n = 29), and dementia (n = 39) at baseline. We modeled the association between dMRI-based global white matter mean diffusivity (MD) and baseline level and change in EF and MEM composite scores, in models controlling for baseline bilateral hippocampal volume, regional cerebral FDG PET metabolism and global cerebral AV45 PET uptake. EF and MEM composite scores were measured at baseline, 6, 12, 24 and 36 months. In the baseline late MCI and dementia groups, greater global MD was associated with lesser baseline EF, but not EF change nor MEM baseline or change. As expected, lesser hippocampal volume and lesser FDG PET metabolism was associated with greater rates of EF and MEM decline. In ADNI-GO/2 participants, white matter integrity provided independent information about current executive function, but was not sensitive to future cognitive change. Since individuals experiencing executive function declines progress to dementia more rapidly than those with only memory impairment, better biomarkers of future executive function decline are needed. In the ADNI cohort, MRI and PET predictors of baseline and change in executive function were tested. Global mean diffusivity was associated with baseline, but not change in, executive function. Diffusion MRI provides independent information on current executive function in older adults.
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Affiliation(s)
| | - Duygu Tosun
- University of California San Francisco, San Francisco, CA, USA
| | | | | | | | - Michael Weiner
- University of California San Francisco, San Francisco, CA, USA
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Chang YL, Yen YS, Chen TF, Yan SH, Tseng WYI. Clinical Dementia Rating Scale Detects White Matter Changes in Older Adults at Risk for Alzheimer's Disease. J Alzheimers Dis 2015; 50:411-23. [PMID: 26639963 DOI: 10.3233/jad-150599] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
This study investigated the putative changes in regional gray matter and cingulum bundle segments in mild cognitive impairment (MCI) by using two diagnostic criteria. Participants comprised 50 older adults with MCI and 22 healthy older controls (HC). The older adults with MCI were further divided into two groups defined by a global Clinical Dementia Rating (CDR) score of 0.5 and with (the CDR/NPT MCI group) or without (the CDR MCI group) objective cognitive impairments determined using neuropsychological tests (NPTs). Comparable regional gray matter integrity was observed among the three groups. However, the integrity of the right inferior segment of the cingulum bundle in the two MCI groups was more reduced than that in the HC group, and the CDR/NPT MCI group exhibited additional disruption in the left inferior cingulum bundle. The results also demonstrated that neuropsychological measures have greater predictive value for changes in white matter beyond the contribution of an informant-based instrument alone. Overall, the findings confirm the utility of informant-based assessment in detecting microstructural brain changes in high-risk older adults, even before objective cognitive impairment is evident. The findings also suggest that combining the neuropsychological measures with the informant-based assessment provided the greatest predictive value in assessing white matter disruption. The essential role of the white matter measurement as a biomarker for detecting individuals at a high risk of developing dementia was highlighted.
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Affiliation(s)
- Yu-Ling Chang
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan.,Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan
| | - Yu-Shiuan Yen
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan
| | - Ta-Fu Chen
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Sui-Hing Yan
- Section of Neurology, Renai Branch, Taipei City Hospital, Taipei, Taiwan
| | - Wen-Yih Isaac Tseng
- Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Medical Imaging, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
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