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Meng P, Liu T, Zhong Z, Fang R, Qiu F, Luo Y, Yang K, Cai H, Mei Z, Zhang X, Ge J. A novel rat model of cerebral small vessel disease based on vascular risk factors of hypertension, aging, and cerebral hypoperfusion. Hypertens Res 2024:10.1038/s41440-024-01741-4. [PMID: 38872026 DOI: 10.1038/s41440-024-01741-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 05/01/2024] [Accepted: 05/13/2024] [Indexed: 06/15/2024]
Abstract
Cerebral small vessel disease (CSVD) is a major cause of vascular cognitive impairment and functional loss in elderly patients. Progressive remodeling of cerebral microvessels due to arterial hypertension or other vascular risk factors, such as aging, can cause dementia or stroke. Typical imaging characteristics of CSVD include cerebral microbleeds (CMB), brain atrophy, small subcortical infarctions, white matter hyperintensities (WMH), and enlarged perivascular spaces (EPVS). Nevertheless, no animal models that reflect all the different aspects of CSVD have been identified. Here, we generated a new CSVD animal model using D-galactose (D-gal) combined with cerebral hypoperfusion in spontaneously hypertensive rats (SHR), which showed all the hallmark pathological features of CSVD and was based on vascular risk factors. SHR were hypodermically injected with D-gal (400 mg/kg/d) and underwent modified microcoil bilateral common carotid artery stenosis surgery. Subsequently, neurological assessments and behavioral tests were performed, followed by vascular ultrasonography, electron microscopy, flow cytometry, and histological analyses. Our rat model showed multiple cerebrovascular pathologies, such as CMB, brain atrophy, subcortical small infarction, WMH, and EPVS, as well as the underlying causes of CSVD pathology, including oxidative stress injury, decreased cerebral blood flow, structural and functional damage to endothelial cells, increased blood-brain barrier permeability, and inflammation. The use of this animal model will help identify new therapeutic targets and subsequently aid the development and testing of novel therapeutic interventions. Main process of the study: Firstly, we screened for optimal conditions for mimicking aging by injecting D-gal into rats for 4 and 8 weeks. Subsequently, we performed modified microcoil BCAS intervention for 4 and 8 weeks in rats to screen for optimal hypoperfusion conditions. Finally, based on these results, we combined D-gal for 8 weeks and modified microcoil BCAS for 4 weeks to explore the changes in SHR.
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Affiliation(s)
- Pan Meng
- Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Tongtong Liu
- Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Ziyan Zhong
- Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Rui Fang
- Hunan Academy of Chinese Medicine, Changsha, Hunan, China
| | - Feng Qiu
- Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Yan Luo
- Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Kailin Yang
- Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Huzhi Cai
- First Affiliated Hospital, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Zhigang Mei
- Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan, China.
| | - Xi Zhang
- The Second People's Hospital of Hunan Province, Changsha, Hunan, China.
| | - Jinwen Ge
- Hunan Academy of Chinese Medicine, Changsha, Hunan, China.
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Santillo AF, Strandberg TO, Reislev NH, Nilsson M, Stomrud E, Spotorno N, van Westen D, Hansson O. Divergent functional connectivity changes associated with white matter hyperintensities. Neuroimage 2024; 296:120672. [PMID: 38851551 DOI: 10.1016/j.neuroimage.2024.120672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/17/2024] [Accepted: 06/06/2024] [Indexed: 06/10/2024] Open
Abstract
Age-related white matter hyperintensities are a common feature and are known to be negatively associated with structural integrity, functional connectivity, and cognitive performance. However, this has yet to be fully understood mechanistically. We analyzed multiple MRI modalities acquired in 465 non-demented individuals from the Swedish BioFINDER study including 334 cognitively normal and 131 participants with mild cognitive impairment. White matter hyperintensities were automatically quantified using fluid-attenuated inversion recovery MRI and parameters from diffusion tensor imaging were estimated in major white matter fibre tracts. We calculated fMRI resting state-derived functional connectivity within and between predefined cortical regions structurally linked by the white matter tracts. How change in functional connectivity is affected by white matter lesions and related to cognition (in the form of executive function and processing speed) was explored. We examined the functional changes using a measure of sample entropy. As expected hyperintensities were associated with disrupted structural white matter integrity and were linked to reduced functional interregional lobar connectivity, which was related to decreased processing speed and executive function. Simultaneously, hyperintensities were also associated with increased intraregional functional connectivity, but only within the frontal lobe. This phenomenon was also associated with reduced cognitive performance. The increased connectivity was linked to increased entropy (reduced predictability and increased complexity) of the involved voxels' blood oxygenation level-dependent signal. Our findings expand our previous understanding of the impact of white matter hyperintensities on cognition by indicating novel mechanisms that may be important beyond this particular type of brain lesions.
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Affiliation(s)
- Alexander F Santillo
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden. Postal address: Memory Clinic, Skåne University Hospital, SE-20502 Malmö, Sweden
| | - Tor O Strandberg
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden. Postal address: Memory Clinic, Skåne University Hospital, SE-20502 Malmö, Sweden
| | - Nina H Reislev
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden. Postal address: Memory Clinic, Skåne University Hospital, SE-20502 Malmö, Sweden; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Markus Nilsson
- Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Diagnostic Radiology, Lund. Diagnostic Radiology, Lunds Universitet/SUS/Lund, 221 85 Lund, Sweden, Sweden
| | - Erik Stomrud
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden. Postal address: Memory Clinic, Skåne University Hospital, SE-20502 Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Nicola Spotorno
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden. Postal address: Memory Clinic, Skåne University Hospital, SE-20502 Malmö, Sweden
| | - Danielle van Westen
- Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Diagnostic Radiology, Lund. Diagnostic Radiology, Lunds Universitet/SUS/Lund, 221 85 Lund, Sweden, Sweden
| | - Oskar Hansson
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden. Postal address: Memory Clinic, Skåne University Hospital, SE-20502 Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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Trifilio E, Bottari S, McQuillan LE, Barton DJ, Lamb DG, Robertson C, Rubenstein R, Wang KK, Wagner AK, Williamson JB. Temporal Profile of Serum Neurofilament Light (NF-L) and Heavy (pNF-H) Level Associations With 6-Month Cognitive Performance in Patients With Moderate-Severe Traumatic Brain Injury. J Head Trauma Rehabil 2024:00001199-990000000-00155. [PMID: 38758056 DOI: 10.1097/htr.0000000000000932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
OBJECTIVE Identification of biomarkers of cognitive recovery after traumatic brain injury (TBI) will inform care and improve outcomes. This study assessed the utility of neurofilament (NF-L and pNF-H), a marker of neuronal injury, informing cognitive performance following moderate-to-severe TBI (msTBI). SETTING Level 1 trauma center and outpatient via postdischarge follow-up. PARTICIPANTS N = 94. Inclusion criteria: Glasgow Coma Scale score less than 13 or 13-15 with clinical evidence of moderate-to-severe injury traumatic brain injury on clinical imaging. Exclusion criteria: neurodegenerative condition, brain death within 3 days after injury. DESIGN Prospective observational study. Blood samples were collected at several time points post-injury. Cognitive testing was completed at 6 months post-injury. MAIN MEASURES Serum NF-L (Human Neurology 4-Plex B) pNF-H (SR-X) as measured by SIMOA Quanterix assay. Divided into 3 categorical time points at days post-injury (DPI): 0-15 DPI, 16-90 DPI, and >90 DPI. Cognitive composite comprised executive functioning measures derived from 3 standardized neuropsychological tests (eg, Delis-Kaplan Executive Function System: Verbal Fluency, California Verbal Learning Test, Second Edition, Wechsler Adult Intelligence Scale, Third Edition). RESULTS pNF-H at 16-90 DPI was associated with cognitive outcomes including a cognitive-executive composite score at 6 months (β = -.430, t34 = -3.190, P = .003). CONCLUSIONS Results suggest that "subacute" elevation of serum pNF-H levels may be associated with protracted/poor cognitive recovery from msTBI and may be a target for intervention. Interpretation is limited by small sample size and including only those who were able to complete cognitive testing.
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Affiliation(s)
- Erin Trifilio
- Brain Rehabilitation Research Center (BRRC), Malcom Randall VAMC, Gainesville, Florida (Drs Trifilio, Lamb, Wang, and Williamson and Ms Bottari); Department of Clinical and Health Psychology (Drs Trifilio and Williamson and Ms Bottari), College of Public Health and Health Professions, and Departments of Emergency Medicine (Dr Wang) and Psychiatry (Drs Lamb and Williamson), College of Medicine, University of Florida, Gainesville; Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (Dr Robertson); Department of Neurology, SUNY Downstate Health Sciences University, Brooklyn, New York (Dr Rubenstein); Department of Physical Medicine and Rehabilitation (Ms McQuillan and Dr Wagner), Department of Emergency Medicine (Dr Barton), Department of Neuroscience (Dr Wagner), Clinical and Translational Science Institute (Dr Wagner), and Safar Center for Resuscitation Research (Dr Wagner); University of Pittsburgh, Pittsburgh, Pennsylvania; and Department of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers (CNMB), Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia (Dr Wang)
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Park I, Lee SK, Choi HC, Ahn ME, Ryu OH, Jang D, Lee U, Kim YJ. Machine Learning Model for Mild Cognitive Impairment Stage Based on Gait and MRI Images. Brain Sci 2024; 14:480. [PMID: 38790458 PMCID: PMC11119859 DOI: 10.3390/brainsci14050480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 04/28/2024] [Accepted: 05/01/2024] [Indexed: 05/26/2024] Open
Abstract
In patients with mild cognitive impairment (MCI), a lower level of cognitive function is associated with a higher likelihood of progression to dementia. In addition, gait disturbances and structural changes on brain MRI scans reflect cognitive levels. Therefore, we aimed to classify MCI based on cognitive level using gait parameters and brain MRI data. Eighty patients diagnosed with MCI from three dementia centres in Gangwon-do, Korea, were recruited for this study. We defined MCI as a Clinical Dementia Rating global score of ≥0.5, with a memory domain score of ≥0.5. Patients were classified as early-stage or late-stage MCI based on their mini-mental status examination (MMSE) z-scores. We trained a machine learning model using gait and MRI data parameters. The convolutional neural network (CNN) resulted in the best classifier performance in separating late-stage MCI from early-stage MCI; its performance was maximised when feature patterns that included multimodal features (GAIT + white matter dataset) were used. The single support time was the strongest predictor. Machine learning that incorporated gait and white matter parameters achieved the highest accuracy in distinguishing between late-stage MCI and early-stage MCI.
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Affiliation(s)
- Ingyu Park
- Department of Electronic Engineering, Hallym University, Chuncheon 24252, Republic of Korea; (I.P.); (D.J.)
| | - Sang-Kyu Lee
- Department of Psychiatry, Hallym University-Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea;
| | - Hui-Chul Choi
- Department of Neurology, Hallym University-Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea;
| | - Moo-Eob Ahn
- Department of Emergency Medicine, Hallym University-Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea;
| | - Ohk-Hyun Ryu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hallym University-Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea;
| | - Daehun Jang
- Department of Electronic Engineering, Hallym University, Chuncheon 24252, Republic of Korea; (I.P.); (D.J.)
| | - Unjoo Lee
- Division of Software, School of Information Science, Hallym University, Chuncheon 24252, Republic of Korea
| | - Yeo Jin Kim
- Department of Neurology, Kangdong Sacred Heart Hospital, Seoul 05355, Republic of Korea
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Biesbroek JM, Coenen M, DeCarli C, Fletcher EM, Maillard PM, Barkhof F, Barnes J, Benke T, Chen CPLH, Dal‐Bianco P, Dewenter A, Duering M, Enzinger C, Ewers M, Exalto LG, Franzmeier N, Hilal S, Hofer E, Koek HL, Maier AB, McCreary CR, Papma JM, Paterson RW, Pijnenburg YAL, Rubinski A, Schmidt R, Schott JM, Slattery CF, Smith EE, Sudre CH, Steketee RME, Teunissen CE, van den Berg E, van der Flier WM, Venketasubramanian N, Venkatraghavan V, Vernooij MW, Wolters FJ, Xin X, Kuijf HJ, Biessels GJ. Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients. Alzheimers Dement 2024; 20:2980-2989. [PMID: 38477469 PMCID: PMC11032573 DOI: 10.1002/alz.13765] [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: 10/30/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 03/14/2024]
Abstract
INTRODUCTION White matter hyperintensities (WMH) are associated with key dementia etiologies, in particular arteriolosclerosis and amyloid pathology. We aimed to identify WMH locations associated with vascular risk or cerebral amyloid-β1-42 (Aβ42)-positive status. METHODS Individual patient data (n = 3,132; mean age 71.5 ± 9 years; 49.3% female) from 11 memory clinic cohorts were harmonized. WMH volumes in 28 regions were related to a vascular risk compound score (VRCS) and Aß42 status (based on cerebrospinal fluid or amyloid positron emission tomography), correcting for age, sex, study site, and total WMH volume. RESULTS VRCS was associated with WMH in anterior/superior corona radiata (B = 0.034/0.038, p < 0.001), external capsule (B = 0.052, p < 0.001), and middle cerebellar peduncle (B = 0.067, p < 0.001), and Aß42-positive status with WMH in posterior thalamic radiation (B = 0.097, p < 0.001) and splenium (B = 0.103, p < 0.001). DISCUSSION Vascular risk factors and Aß42 pathology have distinct signature WMH patterns. This regional vulnerability may incite future studies into how arteriolosclerosis and Aß42 pathology affect the brain's white matter. HIGHLIGHTS Key dementia etiologies may be associated with specific patterns of white matter hyperintensities (WMH). We related WMH locations to vascular risk and cerebral Aβ42 status in 11 memory clinic cohorts. Aβ42 positive status was associated with posterior WMH in splenium and posterior thalamic radiation. Vascular risk was associated with anterior and infratentorial WMH. Amyloid pathology and vascular risk have distinct signature WMH patterns.
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Raghavan S, Przybelski SA, Lesnick TG, Fought AJ, Reid RI, Gebre RK, Windham BG, Algeciras‐Schimnich A, Machulda MM, Vassilaki M, Knopman DS, Jack CR, Petersen RC, Graff‐Radford J, Vemuri P. Vascular risk, gait, behavioral, and plasma indicators of VCID. Alzheimers Dement 2024; 20:1201-1213. [PMID: 37932910 PMCID: PMC10916988 DOI: 10.1002/alz.13540] [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: 07/11/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 11/08/2023]
Abstract
INTRODUCTION Cost-effective screening tools for vascular contributions to cognitive impairment and dementia (VCID) has significant implications. We evaluated non-imaging indicators of VCID using magnetic resonance imaging (MRI)-measured white matter (WM) damage and hypothesized that these indicators differ based on age. METHODS In 745 participants from the Mayo Clinic Study of Aging (≥50 years of age) with serial WM assessments from diffusion MRI and fluid-attenuated inversion recovery (FLAIR)-MRI, we examined associations between baseline non-imaging indicators (demographics, vascular risk factors [VRFs], gait, behavioral, plasma glial fibrillary acidic protein [GFAP], and plasma neurofilament light chain [NfL]) and WM damage across three age tertiles. RESULTS VRFs and gait were associated with diffusion changes even in low age strata. All measures (VRFs, gait, behavioral, plasma GFAP, plasma NfL) were associated with white matter hyperintensities (WMHs) but mainly in intermediate and high age strata. DISCUSSION Non-imaging indicators of VCID were related to WM damage and may aid in screening participants and assessing outcomes for VCID. HIGHLIGHTS Non-imaging indicators of VCID can aid in prediction of MRI-measured WM damage but their importance differed by age. Vascular risk and gait measures were associated with early VCID changes measured using diffusion MRI. Plasma markers explained variability in WMH across age strata. Most non-imaging measures explained variability in WMH and vascular WM scores in intermediate and older age groups. The framework developed here can be used to evaluate new non-imaging VCID indicators proposed in the future.
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Affiliation(s)
| | | | - Timothy G. Lesnick
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Angela J. Fought
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Robert I. Reid
- Department of Information TechnologyMayo ClinicRochesterMinnesotaUSA
| | | | - B. Gwen Windham
- Department of MedicineUniversity of Mississippi Medical CenterJacksonUSA
| | | | | | - Maria Vassilaki
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
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Hu Y, Li G, Zhang W, Wang J, Ji W, Yu J, Han Y, Cui G, Wang H, Manza P, Volkow N, Ji G, Wang GJ, Zhang Y. Obesity is associated with alterations in anatomical connectivity of frontal-corpus callosum. Cereb Cortex 2024; 34:bhae014. [PMID: 38300178 DOI: 10.1093/cercor/bhae014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 02/02/2024] Open
Abstract
Obesity has been linked to abnormal frontal function, including the white matter fibers of anterior portion of the corpus callosum, which is crucial for information exchange within frontal cortex. However, alterations in white matter anatomical connectivity between corpus callosum and cortical regions in patients with obesity have not yet been investigated. Thus, we enrolled 72 obese and 60 age-/gender-matched normal weight participants who underwent clinical measurements and diffusion tensor imaging. Probabilistic tractography with connectivity-based classification was performed to segment the corpus callosum and quantify white matter anatomical connectivity between subregions of corpus callosum and cortical regions, and associations between corpus callosum-cortex white matter anatomical connectivity and clinical behaviors were also assessed. Relative to normal weight individuals, individuals with obesity exhibited significantly greater white matter anatomical connectivity of corpus callosum-orbitofrontal cortex, which was positively correlated with body mass index and self-reported disinhibition of eating behavior, and lower white matter anatomical connectivity of corpus callosum-prefrontal cortex, which was significantly negatively correlated with craving for high-calorie food cues. The findings show that alterations in white matter anatomical connectivity between corpus callosum and frontal regions involved in reward and executive control are associated with abnormal eating behaviors.
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Affiliation(s)
- Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, 4 Xinsi Road, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, 4 Xinsi Road, Xi'an, Shaanxi 710038, China
| | - Haoyi Wang
- College of Westa, Southwest University, 2 Tiansheng Road, Chongqing 400715, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Nora Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi 710032, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
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Qin Y, Sun C, Sun H, Li M, Leng B, Yao R, Li Z, Zhang J. Electroencephalographic slowdowns during sleep are associated with cognitive impairment in patients who have obstructive sleep apnea but no dementia. Sleep Breath 2023; 27:2315-2324. [PMID: 37155126 DOI: 10.1007/s11325-023-02843-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 03/27/2023] [Accepted: 04/28/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVES To research the relationship between quantitative electroencephalogram (qEEG) and impaired cognitive function patients who have obstructive sleep apnea (OSA) but no dementia. METHODS Subjects who complained of snoring between March 2020 and April 2021 in the Sleep Medicine Center of Weihai Municipal Hospital were included. All subjects underwent overnight in-laboratory polysomnography (PSG) and were assessed using a neuropsychological scale. Standard fast fourier transform (FFT) was used to obtain the electroencephalogram (EEG) power spectral density curve, and to calculate the delta, theta, alpha, and beta relative power and the ratio between slow and fast frequencies. Binary logistic regression was used to assess the risk factors for cognitive impairment in patients who had OSA but no dementia. Correlation analysis was performed to determine the relationship between qEEG and cognitive impairment. RESULTS A total of 175 participants without dementia who met the inclusion criteria were included in this study. There were 137 patients with OSA, including 76 with mild cognitive impairment (OSA + MCI), 61 without mild cognitive impairment (OSA-MCI), and 38 participants without OSA (non-OSA). The relative theta power in the frontal lobe in stage 2 of non-rapid eye movement sleep (NREM 2) in OSA + MCI was higher than that in OSA-MCI (P = 0.038) and non-OSA (P = 0.018). Pearson correlation analysis showed that the relative theta power in the frontal lobe in NREM 2 was negatively correlated with Mini-Mental State Examination (MMSE) scores, Montreal Cognitive Assessment (MoCA) Beijing version scores, and MoCA subdomains scores (visual executive function, naming, attention, language, abstraction, delayed recall and orientation) outside language. CONCLUSIONS In patients who had OSA but no dementia, the EEG slower frequency power increased. The relative theta power in the frontal lobe in NREM 2 was associated with MCI of patients with OSA. These results suggest that the slowing of theta activity may be one of the neurophysiological changes in the early stage of cognitive impairment in patients with OSA.
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Affiliation(s)
- Yibing Qin
- The Second Clinical Medical College, Binzhou Medical University, Yantai, 264000, Shandong, China
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China
| | - Chao Sun
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China
| | - Hairong Sun
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China
| | - Mengfan Li
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China
- Liaocheng People's Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Bing Leng
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China
| | - Ran Yao
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China
| | - Zhenguang Li
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China
| | - Jinbiao Zhang
- Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, Shandong, China.
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Li Y, Kalpouzos G, Bäckman L, Qiu C, Laukka EJ. Association of white matter hyperintensity accumulation with domain-specific cognitive decline: a population-based cohort study. Neurobiol Aging 2023; 132:100-108. [PMID: 37776581 DOI: 10.1016/j.neurobiolaging.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 10/02/2023]
Abstract
We investigated the association of load and accumulation of white matter hyperintensities (WMHs) with rate of cognitive decline. This population-based study included 510 dementia-free people (age ≥60 years) who had repeated measures of global and regional (lobar, deep, periventricular) WMHs up to 6 years (from 2001-2003 to 2007-2010) and repeated measures of cognitive function (episodic memory, semantic memory, category fluency, letter fluency, executive function, perceptual speed) up to 15 years (from 2001-2004 to 2016-2019). We found that greater baseline loads of global and regional WMHs were associated with faster decline in letter fluency, perceptual speed, and global cognition. Furthermore, faster accumulation of global, deep, and periventricular WMHs was related to accelerated cognitive decline, primarily in perceptual speed. These data show that WMHs are associated with decline in perceptual speed rather than episodic or semantic memory and that cognitive change is more vulnerable to WMH accumulations in deep and periventricular regions.
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Affiliation(s)
- Yuanjing Li
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden.
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10
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Busby N, Wilson S, Wilmskoetter J, Newman-Norlund R, Sayers S, Newman-Norlund S, Roth R, Rorden C, Fridriksson J, Bonilha L. White matter hyperintensity load mediates the relationship between age and cognition. Neurobiol Aging 2023; 132:56-66. [PMID: 37729770 DOI: 10.1016/j.neurobiolaging.2023.08.007] [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: 04/25/2023] [Revised: 08/14/2023] [Accepted: 08/21/2023] [Indexed: 09/22/2023]
Abstract
To elucidate the relationship between age and cognitive decline, it is important to consider structural brain changes such as white matter hyperintensities (WMHs), which are common in older age and may affect behavior. Therefore, we aimed to investigate if WMH load is a mediator of the relationship between age and cognitive decline. Healthy participants (N = 166, 20-80 years) completed the Montreal Cognitive Assessment (MoCA). WMHs were manually delineated on FLAIR scans. Mediation analysis was conducted to determine if WMH load mediates the relationship between age and cognition. Older age was associated with worse cognition (p < 0.001), but this was an indirect effect: older participants had more WMHs, and, in turn, increased WMH load was associated with worse MoCA scores. WMH load mediates the relationship between age and cognitive decline. Importantly, this relationship was not moderated by age (i.e., increased WMH severity is associated with poorer MoCA scores irrespective of age). Across all ages, high cholesterol was associated with increased WMH severity.
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Affiliation(s)
- Natalie Busby
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA.
| | - Sarah Wilson
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA
| | - Janina Wilmskoetter
- Department of Health and Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, USA
| | | | - Sara Sayers
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA
| | - Sarah Newman-Norlund
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA
| | - Rebecca Roth
- Department of Neurology, Emory University, Atlanta, GA, USA
| | - Chris Rorden
- Department of Psychology, University of South Carolina, Columbia, SC, USA
| | - Julius Fridriksson
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA
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11
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Membreno R, Thomas KR, Calcetas AT, Edwards L, Bordyug M, Showell M, Stanfill M, Brenner EK, Walker KS, Rotblatt LJ, Brickman AM, Edmonds EC, Bangen KJ. Regional White Matter Hyperintensities Relate to Specific Cognitive Abilities in Older Adults Without Dementia. Alzheimer Dis Assoc Disord 2023; 37:303-309. [PMID: 38015423 PMCID: PMC10664788 DOI: 10.1097/wad.0000000000000585] [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: 07/03/2023] [Accepted: 09/06/2023] [Indexed: 11/29/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) are magnetic resonance imaging markers of small vessel cerebrovascular disease that are associated with cognitive decline and clinical Alzheimer disease. Previous studies have often focused on global or total WMH; less is known about associations of regional WMHs and cognitive abilities among older adults without dementia. METHODS A total of 610 older adults with normal cognition (n=302) or mild cognitive impairment (n=308) from the Alzheimer's Disease Neuroimaging Initiative underwent neuropsychological testing and magnetic resonance imaging. Linear regression models examined associations between regional WMH volumes and cognition, adjusting for age, sex, education, apolipoprotein E ε4 allele frequency, and pulse pressure. RESULTS Among all participants, greater regional WMH volume in all lobes was associated with poorer performance on memory and speed/executive functioning. Among participants with normal cognition, greater temporal and occipital WMH volumes were associated with poorer memory, whereas no regional WMH volumes were associated with speed/executive function. DISCUSSION Results show that greater regional WMH volume relates to poorer cognitive functioning-even among those with normal cognition. Together with results from previous studies, our findings raise the possibility that WMH may be a useful therapeutic target and/or important effect modifier in treatment or prevention dementia trials.
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Affiliation(s)
| | - Kelsey R. Thomas
- Research Service, VA San Diego Healthcare System
- Department of Psychiatry, University of California San Diego
| | | | - Lauren Edwards
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | - Maria Bordyug
- Department of Psychiatry, University of California San Diego
| | - Maya Showell
- Research Service, VA San Diego Healthcare System
| | | | | | | | - Lindsay J. Rotblatt
- Psychology Service, VA San Diego Healthcare System
- Department of Psychiatry, University of California San Diego
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University
- Gertrude H. Sergievsky Center, Columbia University
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Emily C. Edmonds
- Banner Alzheimer’s Institute
- Department of Psychology, University of Arizona, Tucson, AZ
| | - Katherine J. Bangen
- Research Service, VA San Diego Healthcare System
- Department of Psychiatry, University of California San Diego
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12
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Johansson J, Nordin K, Pedersen R, Karalija N, Papenberg G, Andersson M, Korkki SM, Riklund K, Guitart-Masip M, Rieckmann A, Bäckman L, Nyberg L, Salami A. Biphasic patterns of age-related differences in dopamine D1 receptors across the adult lifespan. Cell Rep 2023; 42:113107. [PMID: 37676765 DOI: 10.1016/j.celrep.2023.113107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/14/2023] [Accepted: 08/22/2023] [Indexed: 09/09/2023] Open
Abstract
Age-related alterations in D1-like dopamine receptor (D1DR) have distinct implications for human cognition and behavior during development and aging, but the timing of these periods remains undefined. Enabled by a large sample of in vivo assessments (n = 180, age 20 to 80 years of age, 50% female), we discover that age-related D1DR differences pivot at approximately 40 years of age in several brain regions. Focusing on the most age-sensitive dopamine-rich region, we observe opposing pre- and post-forties interrelations among caudate D1DR, cortico-striatal functional connectivity, and memory. Finally, particularly caudate D1DR differences in midlife and beyond, but not in early adulthood, associate with manifestation of white matter lesions. The present results support a model by which excessive dopamine modulation in early adulthood and insufficient modulation in aging are deleterious to brain function and cognition, thus challenging a prevailing view of monotonic D1DR function across the adult lifespan.
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Affiliation(s)
- Jarkko Johansson
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, 90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden.
| | - Kristin Nordin
- Aging Research Center, Karolinska Institutet & Stockholm University, Tomtebodavägen 18A, 17165 Stockholm, Sweden
| | - Robin Pedersen
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, 90187 Umeå, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Nina Karalija
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, 90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet & Stockholm University, Tomtebodavägen 18A, 17165 Stockholm, Sweden
| | - Micael Andersson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, 90187 Umeå, Sweden
| | - Saana M Korkki
- Aging Research Center, Karolinska Institutet & Stockholm University, Tomtebodavägen 18A, 17165 Stockholm, Sweden
| | - Katrine Riklund
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, 90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden
| | - Marc Guitart-Masip
- Aging Research Center, Karolinska Institutet & Stockholm University, Tomtebodavägen 18A, 17165 Stockholm, Sweden; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
| | - Anna Rieckmann
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, 90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, 90187 Umeå, Sweden; The Munich Center for the Economics of Aging, Max Planck Institute for Social Law and Social Policy, 80799 Munich, Germany
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet & Stockholm University, Tomtebodavägen 18A, 17165 Stockholm, Sweden
| | - Lars Nyberg
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, 90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, 90187 Umeå, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Alireza Salami
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Aging Research Center, Karolinska Institutet & Stockholm University, Tomtebodavägen 18A, 17165 Stockholm, Sweden; Department of Integrative Medical Biology, Umeå University, 90187 Umeå, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, Umeå, Sweden
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13
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Royall DR, Palmer RF. The effects of CNS atrophy and ICVD on tests of executive function and functional status are mediated by intelligence. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 5:100184. [PMID: 37811522 PMCID: PMC10550593 DOI: 10.1016/j.cccb.2023.100184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 09/05/2023] [Accepted: 09/13/2023] [Indexed: 10/10/2023]
Abstract
Background Impairments in executive function (EF) are often attributed to ischemic cerebrovascular disease (ICVD) and frontal circuit pathology. However, EF can be distinguished from general intelligence and the latter is likely to manifest in "executive" measures. We aimed to distinguish the effects of imaging biomarkers on these constructs. Methods We tested neuroimaging biomarkers as independent predictors of observed 12 month-prospective cognitive performance by a Multiple Indicators Multiple Causes (MIMIC) model in the Alzheimer's Disease Neuroimaging Initiative (ADNI) (N ≅ 1750). Results ICVD was associated with ''Organization" (ORG) and "Planning" (PLAN) domain scores from the test of Every Day Cognition. Left anterior cingulate (LAC) atrophy was independently associated with Trail-Making part B and Animal Naming. The MIMIC model had excellent fit and tests additional latent variables i.e., EF and dEF (a latent δ homolog derived from Spearman's general intelligence factor, g). Only dEF was associated with instrumental activities of daily living (IADL). ICVD and LAC were both associated with observed executive measures through dEF. ICVD was independently associated with those same measures through EF. Conclusions Observed EF is independently determined by multiple factors. The effects of EF-associated MRI biomarkers can be related to disability and dementia only via their effects on g. Because g /δ are unlikely to be located within the frontal lobes, the dementia-specific variance in executive measures may have little to do with either frontal structure or function. Conversely, domain-specific variance in EF may have little to do with either IADL-impairment or dementia.
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Affiliation(s)
- Donald R. Royall
- Department of Psychiatry, the University of Texas Health Science Center, San Antonio, TX, United States of America
- Department of Medicine, the University of Texas Health Science Center, San Antonio, TX, United States of America
- Department of Family and Community Medicine, the University of Texas Health Science Center, San Antonio, TX, United States of America
- The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Disease, the University of Texas Health Science Center, San Antonio, TX, United States of America
| | - Raymond F. Palmer
- Department of Family and Community Medicine, the University of Texas Health Science Center, San Antonio, TX, United States of America
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14
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VandeBunte AM, Fonseca C, Paolillo EW, Gontrum E, Lee SY, Kramer JH, Casaletto KB. Regional Vulnerability of the Corpus Callosum in the Context of Cardiovascular Risk. J Geriatr Psychiatry Neurol 2023; 36:397-406. [PMID: 36710073 PMCID: PMC10441555 DOI: 10.1177/08919887231154931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Many factors outside of cardiovascular health can impact the structure of white matter. Identification of reliable and clinically meaningful biomarkers of the neural effects of systemic and cardiovascular health are needed to refine etiologic predictions. We examined whether the corpus callosum demonstrates regional vulnerability to systemic cardiovascular risk factors. Three hundred and ninety-four older adults without dementia completed brain MRI, neurobehavioral evaluations, and blood draws. A subset (n = 126, n = 128) of individuals had blood plasma analyzed for inflammatory markers of interest (IL-6 and TNF-alpha). Considering diffusion tensor imaging (DTI) is a particularly reliable measure of white matter integrity, we utilized DTI to examine fractional anisotropy (FA) of anterior and posterior regions of the corpus callosum. Using multiple linear regression models, we simultaneously examined FA of the genu and the splenium to compare their associations with systemic and cardiovascular risk factors. Lower FA of the genu but not splenium was associated with greater systemic and cardiovascular risk, including higher systolic blood pressure (β = -0.17, p = .020), hemoglobin A1C (β = -0.21, p = .016) and IL-6 (β = -0.34, p = .005). FA of the genu was uniquely associated with cognitive processing speed (β = 0.20, p = .0015) and executive functioning (β = 0.15, p = .012), but not memory performances (β = 0.05, p = .357). Our results demonstrated differential vulnerability of the corpus callosum, such that frontal regions showed stronger, independent associations with biomarkers of systemic and cardiovascular health in comparison to posterior regions. Posterior white matter integrity may not reflect cardiovascular health. Clinically, these findings support the utility of examining the anterior corpus callosum as an indicator of cerebrovascular health.
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Affiliation(s)
- Anna M. VandeBunte
- Department of Neurology, University of California, San Francisco, Memory and Aging Center, San Francisco, CA, USA
- Palo Alto University, CA, USA
| | - Corrina Fonseca
- Department of Neurology, University of California, San Francisco, Memory and Aging Center, San Francisco, CA, USA
| | - Emily W. Paolillo
- Department of Neurology, University of California, San Francisco, Memory and Aging Center, San Francisco, CA, USA
| | - Eva Gontrum
- Department of Neurology, University of California, San Francisco, Memory and Aging Center, San Francisco, CA, USA
| | - Shannon Y. Lee
- Department of Neurology, University of California, San Francisco, Memory and Aging Center, San Francisco, CA, USA
| | - Joel H. Kramer
- Department of Neurology, University of California, San Francisco, Memory and Aging Center, San Francisco, CA, USA
| | - Kaitlin B. Casaletto
- Department of Neurology, University of California, San Francisco, Memory and Aging Center, San Francisco, CA, USA
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15
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Botz J, Lohner V, Schirmer MD. Spatial patterns of white matter hyperintensities: a systematic review. Front Aging Neurosci 2023; 15:1165324. [PMID: 37251801 PMCID: PMC10214839 DOI: 10.3389/fnagi.2023.1165324] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/24/2023] [Indexed: 05/31/2023] Open
Abstract
Background White matter hyperintensities are an important marker of cerebral small vessel disease. This disease burden is commonly described as hyperintense areas in the cerebral white matter, as seen on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging data. Studies have demonstrated associations with various cognitive impairments, neurological diseases, and neuropathologies, as well as clinical and risk factors, such as age, sex, and hypertension. Due to their heterogeneous appearance in location and size, studies have started to investigate spatial distributions and patterns, beyond summarizing this cerebrovascular disease burden in a single metric-its volume. Here, we review the evidence of association of white matter hyperintensity spatial patterns with its risk factors and clinical diagnoses. Design/methods We performed a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Statement. We used the standards for reporting vascular changes on neuroimaging criteria to construct a search string for literature search on PubMed. Studies written in English from the earliest records available until January 31st, 2023, were eligible for inclusion if they reported on spatial patterns of white matter hyperintensities of presumed vascular origin. Results A total of 380 studies were identified by the initial literature search, of which 41 studies satisfied the inclusion criteria. These studies included cohorts based on mild cognitive impairment (15/41), Alzheimer's disease (14/41), Dementia (5/41), Parkinson's disease (3/41), and subjective cognitive decline (2/41). Additionally, 6 of 41 studies investigated cognitively normal, older cohorts, two of which were population-based, or other clinical findings such as acute ischemic stroke or reduced cardiac output. Cohorts ranged from 32 to 882 patients/participants [median cohort size 191.5 and 51.6% female (range: 17.9-81.3%)]. The studies included in this review have identified spatial heterogeneity of WMHs with various impairments, diseases, and pathologies as well as with sex and (cerebro)vascular risk factors. Conclusion The results show that studying white matter hyperintensities on a more granular level might give a deeper understanding of the underlying neuropathology and their effects. This motivates further studies examining the spatial patterns of white matter hyperintensities.
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Affiliation(s)
- Jonas Botz
- Computational Neuroradiology, Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
- Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany
| | - Valerie Lohner
- Cardiovascular Epidemiology of Aging, Department of Cardiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Markus D. Schirmer
- Computational Neuroradiology, Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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16
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Carvalho de Abreu DC, Pieruccini-Faria F, Sarquis-Adamson Y, Black A, Fraser J, Van Ooteghem K, Cornish B, Grimes D, Jog M, Masellis M, Steeves T, Nanayakkara N, Ramirez J, Scott C, Holmes M, Ozzoude M, Berezuk C, Symons S, Mohammad Hassan Haddad S, Arnott SR, Binns M, Strother S, Beaton D, Sunderland K, Theyers A, Tan B, Zamyadi M, Levine B, Orange JB, Roberts AC, Lou W, Sujanthan S, Breen DP, Marras C, Kwan D, Adamo S, Peltsch A, Troyer AK, Black SE, McLaughlin PM, Lang AE, McIlroy W, Bartha R, Montero-Odasso M. White matter hyperintensity burden predicts cognitive but not motor decline in Parkinson's disease: results from the Ontario Neurodegenerative Diseases Research Initiative. Eur J Neurol 2023; 30:920-933. [PMID: 36692250 DOI: 10.1111/ene.15692] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 12/29/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE The pathophysiology of Parkinson's disease (PD) negatively affects brain network connectivity, and in the presence of brain white matter hyperintensities (WMHs) cognitive and motor impairments seem to be aggravated. However, the role of WMHs in predicting accelerating symptom worsening remains controversial. The objective was to investigate whether location and segmental brain WMH burden at baseline predict cognitive and motor declines in PD after 2 years. METHODS Ninety-eight older adults followed longitudinally from Ontario Neurodegenerative Diseases Research Initiative with PD of 3-8 years in duration were included. Percentages of WMH volumes at baseline were calculated by location (deep and periventricular) and by brain region (frontal, temporal, parietal, occipital lobes and basal ganglia + thalamus). Cognitive and motor changes were assessed from baseline to 2-year follow-up. Specifically, global cognition, attention, executive function, memory, visuospatial abilities and language were assessed as were motor symptoms evaluated using the Movement Disorder Society Unified Parkinson's Disease Rating Scale Part III, spatial-temporal gait variables, Freezing of Gait Questionnaire and Activities Specific Balance Confidence Scale. RESULTS Regression analysis adjusted for potential confounders showed that total and periventricular WMHs at baseline predicted decline in global cognition (p < 0.05). Also, total WMH burden predicted the decline of executive function (p < 0.05). Occipital WMH volumes also predicted decline in global cognition, visuomotor attention and visuospatial memory declines (p < 0.05). WMH volumes at baseline did not predict motor decline. CONCLUSION White matter hyperintensity burden at baseline predicted cognitive but not motor decline in early to mid-stage PD. The motor decline observed after 2 years in these older adults with PD is probably related to the primary neurodegenerative process than comorbid white matter pathology.
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Affiliation(s)
- Daniela Cristina Carvalho de Abreu
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Department of Physical Therapy, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Frederico Pieruccini-Faria
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
| | | | - Alanna Black
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
| | - Julia Fraser
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Karen Van Ooteghem
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Benjamin Cornish
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - David Grimes
- Department of Medicine (Neurology), Ottawa Hospital Research Institute, University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Mandar Jog
- Division of Neurology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Mario Masellis
- Cognitive and Movement Disorders Clinic, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Steeves
- Division of Neurology, Department of Medicine, St Michael's Hospital and University of Toronto, Toronto, Ontario, Canada
| | - Nuwan Nanayakkara
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Scott
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Melissa Holmes
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Miracle Ozzoude
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Courtney Berezuk
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | - Sean Symons
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | | | - Stephen R Arnott
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Malcolm Binns
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Stephen Strother
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Derek Beaton
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Kelly Sunderland
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Athena Theyers
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Brian Tan
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Brian Levine
- Rotman Research Institute at Baycrest Hospital University of Toronto, Toronto, Ontario, Canada
| | - Joseph B Orange
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Canadian Centre for Activity and Aging, Western University, London, Ontario, Canada
| | - Angela C Roberts
- School of Communication Sciences and Disorders, Faculty of Health Sciences, Canadian Centre for Activity and Aging, Western University, London, Ontario, Canada
- Department of Computer Science, Western University, London, Ontario, Canada
| | - Wendy Lou
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sujeevini Sujanthan
- Department of Ophthalmology and Visual Sciences, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Connie Marras
- Edmond J Safra Program in Parkinson's Disease, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Sabrina Adamo
- Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Alicia Peltsch
- Faculty of Engineering and Applied Science, Queen's University, Kingston, Ontario, Canada
| | - Angela K Troyer
- Neuropsychology and Cognitive Health Program, Baycrest Health Sciences, Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Department of Medicine (Neurology), Sunnybrook Research Institute, Sunnybrook HSC, University of Toronto, Toronto, Ontario, Canada
| | | | - Anthony E Lang
- Division of Neurology, Department of Medicine, Edmond J Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - William McIlroy
- Neuroscience, Mobility and Balance Laboratory, Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Robarts Research Institute, Western University, London, Canada
| | | | - Manuel Montero-Odasso
- Gait and Brain Lab, Division of Geriatric Medicine, and Lawson Health Research Institute, Parkwood Institute, University of Western Ontario, Ontario, London, Canada
- Gait and Brain Laboratory, Lawson Health Research Institute, London, Ontario, Canada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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17
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Condoleo V, Bonfrate L, Armentaro G, Pelaia C, Cassano V, De Marco M, Severini G, Pastura CA, Miceli S, Maio R, Perticone M, Arturi F, Sesti G, Sciacqua A. Effects of continuous positive airway pressure on comprehensive geriatric assessment and cognitive function in elderly patients with obstructive sleep apnea syndrome. Intern Emerg Med 2023; 18:769-779. [PMID: 36808594 DOI: 10.1007/s11739-023-03220-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 02/07/2023] [Indexed: 02/23/2023]
Abstract
Obstructive sleep apnea syndrome (OSAS) can lead to cognitive impairment and depression affecting memory, attention, and executive functions. Continuous positive airway pressure (CPAP) treatment seems to be able to revert changes in brain networks and neuropsychological tests correlated to OSAS. The aim of the present study was to evaluate the effects of a 6-month treatment with CPAP on functional, humoral and cognitive parameters in a cohort of elderly OSAS patients with several comorbidities. We enrolled 360 elderly patients suffering from moderate to severe OSAS and indication for nocturnal CPAP. At baseline the Comprehensive Geriatric Assessment (CGA) revealed a borderline Mini-Mental State Examination (MMSE) score that improved after 6-month treatment with CPAP (25.3 ± 1.6 vs 26 ± 1.5; p < 0.0001), as well as the Montreal Cognitive Assessment (MoCA) showed a mild improvement (24.4 ± 2.3 vs 26.2 ± 1.7; p < 0.0001). Moreover, functionality activities increased after treatment, as documented by a short physical performance battery (SPPB) (6.3 ± 1.5 vs 6.9 ± 1.4; p < 0.0001). Reduction of the Geriatric Depression Scale (GDS) from 6.0 ± 2.5 to 4.6 ± 2.2 (p < 0.0001) was also detected. Changes of homeostasis model assessment (HOMA) index, oxygen desaturation index (ODI), sleep-time spent with saturation below 90% (TC90), peripheral arterial oxyhaemoglobin saturation (SpO2), apnea-hypopnea index (AHI) and estimation of glomerular filtration rate (eGFR), contributed, respectively, to 27.9%, 9.0%, 2.8%, 2.3%, 1.7% and 0.9% of MMSE variability for a total of 44.6% of MMSE variations. GDS score changes were due to the improvement of AHI, ODI and TC90, respectively, for 19.2%, 4.9%, 4.2% of the GDS variability, cumulative responsible for 28.3% of GDS modifications. The present real-world study shows that CPAP treatment is able to improve cognition and depressive symptoms in OSAS elderly patients.
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Affiliation(s)
- Valentino Condoleo
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Leonilde Bonfrate
- Clinica Medica "A. Murri", Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Giuseppe Armentaro
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy.
| | - Corrado Pelaia
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Velia Cassano
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Mario De Marco
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Giandomenico Severini
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Carlo Alberto Pastura
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Sofia Miceli
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Raffaele Maio
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Maria Perticone
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Franco Arturi
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario "S. Venuta", Viale Europa - Località Germaneto, 88100, Catanzaro, Italy
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18
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Peterson RK, Ng R, Ludwig NN, Jacobson LA. Tumor region associated with specific processing speed outcomes. Pediatr Blood Cancer 2023; 70:e30167. [PMID: 36625401 PMCID: PMC10101562 DOI: 10.1002/pbc.30167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Processing speed (PS) is a vulnerable cognitive skill in pediatric cancer survivors as a consequence of treatments and, less consistently, tumor region. Studies conventionally examine graphomotor PS; emerging research suggests other aspects of PS may be impacted. This study examined types of PS in pediatric brain tumor survivors to determine which aspects are impaired. Given discordance across studies, we additionally investigated the relationship between brain region and PS. METHODS The sample consisted of 167 pediatric brain tumor patients (100 supratentorial). PS (oral naming, semantic fluency, phonemic fluency, motor speed, graphomotor speed, visual scanning) was gathered via clinical neuropsychological assessment. To examine PS by region, infratentorial and supratentorial groups were matched on age at diagnosis and neuropsychological assessment, and time since diagnosis. RESULTS The whole sample performed below normative means on measures of oral naming (p < .001), phonemic fluency (p < .001), motor speed (p = .03), visual scanning (p < .001), and graphomotor speed (p < .001). Only oral naming differed by region (p = .03), with infratentorial tumors associated with slower performance. After controlling for known medical and demographic risk factors, brain region remained a significant predictor of performance (p = .04). Among the whole sample, greater than expected proportions of patients with impairment (i.e., >1 standard deviation below the normative mean) were seen across all PS measures. Infratentorial tumors had higher rates of impairments across all PS measures except phonemic fluency. CONCLUSIONS Results indicate pediatric brain tumor survivors demonstrate weaknesses in multiple aspects of PS, suggesting impairments are not secondary to peripheral motor slowing alone. Additionally, tumor region may predict some but not all neuropsychological outcomes in this population.
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Affiliation(s)
- Rachel K Peterson
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, Maryland, USA
- Department of Psychiatry and Behavioral Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rowena Ng
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, Maryland, USA
- Department of Psychiatry and Behavioral Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Natasha N Ludwig
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, Maryland, USA
- Department of Psychiatry and Behavioral Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Lisa A Jacobson
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, Maryland, USA
- Department of Psychiatry and Behavioral Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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19
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Hernandez J, Davidson C, Reilly T, Hanbali S, Abou-Al-Shaar H, Ebrahim G, Nguyen A, Lucke-Wold B. Research on the Damage of the Central Nervous System Lymphoma to the Nervous System. JOURNAL OF MODERN MEDICAL ONCOLOGY 2023; 3:1. [PMID: 36911420 PMCID: PMC10003645 DOI: 10.53964/jmmo.2023001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
Management of central nervous system (CNS) lymphoma requires multidisciplinary care. The disease can manifest in the context of immunocompromised states or in the context of chronic infections. Nervous system damage from this lymphoma has highly variable presentation that is dependent on the location of the tumor lesions. Damage from disease progression can lead to lasting neurologic deficits and even death. However, some lesions are a consequence of radiation-induced neurotoxicity. This review discusses the sources of and consequences of brain damage due to tumor damage and the associated effect of clinical therapies. We discuss workup, management, and treatments. These include chemotherapy and radiation techniques. We discuss potential complications and avoidance strategies. The review will serve as a user-friendly resource for clinicians.
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Affiliation(s)
- Jairo Hernandez
- Department of Neurosurgery, University of Florida, Gainesville, USA
| | | | - Thomas Reilly
- Department of Neurosurgery, University of Florida, Gainesville, USA
| | - Seif Hanbali
- Department of Neurosurgery, University of Florida, Gainesville, USA
| | - Hussam Abou-Al-Shaar
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, USA
| | - Ghaidaa Ebrahim
- Department of Neurosurgery, University of Florida, Gainesville, USA
| | - Andrew Nguyen
- Department of Neurosurgery, University of Florida, Gainesville, USA
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20
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Ali DG, Abner EL, Bahrani AA, El Khouli R, Gold BT, Jiang Y, Wilcock DM, Jicha GA. Amyloid-PET and White Matter Hyperintensities Have Independent Effects on Baseline Cognitive Function and Synergistic Effects on Longitudinal Executive Function. Brain Sci 2023; 13:brainsci13020218. [PMID: 36831761 PMCID: PMC9953773 DOI: 10.3390/brainsci13020218] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/21/2023] [Accepted: 01/23/2023] [Indexed: 01/31/2023] Open
Abstract
Co-occurrence of beta amyloid (Aβ) and white matter hyperintensities (WMHs) increase the risk of dementia and both are considered biomarkers of preclinical dementia. Moderation and mediation modeling were used to define the interplay between global and regional Aβ and WMHs measures in relation to executive function (EF) and memory composite scores outcomes at baseline and after approximately 2 years across a sample of 714 clinically normal participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI 2). The moderation regression analysis showed additive effects of Aβ and WMHs over baseline memory and EF scores (p = 0.401 and 0.061, respectively) and synergistic effects over follow-up EF (p < 0.05). Through mediation analysis, the data presented demonstrate that WMHs effects, mediated by global and regional amyloid burden, are responsible for baseline cognitive performance deficits in memory and EF. These findings suggest that Aβ and WMHs contribute to baseline cognition independently while WMHs volumes exert effects on baseline cognitive performance directly and through influences on Aβ accumulation.
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Affiliation(s)
- Doaa G. Ali
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Correspondence:
| | - Erin L. Abner
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY 40536, USA
| | - Ahmed A. Bahrani
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Neurology, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
| | - Riham El Khouli
- Department of Radiology, College of Medicine, University of Kentucky, Lexington, KY 40536, USA
| | - Brian T. Gold
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY 40536, USA
| | - Yang Jiang
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
| | - Donna M. Wilcock
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Physiology, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
| | - Gregory A. Jicha
- Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Neurology, College of Medicine, University of Kentucky, Lexington, KY 40506, USA
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21
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Gronewold J, Jokisch M, Schramm S, Himpfen H, Ginster T, Tenhagen I, Doeppner TR, Jockwitz C, Miller T, Lehmann N, Moebus S, Jöckel KH, Erbel R, Caspers S, Hermann DM. Association of regional white matter hyperintensities with hypertension and cognition in the population-based 1000BRAINS study. Eur J Neurol 2023; 30:1174-1190. [PMID: 36702775 DOI: 10.1111/ene.15716] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/05/2023] [Indexed: 01/28/2023]
Abstract
BACKGROUND White matter hyperintensities of presumed vascular origin (WMH) are frequent in cerebral magnetic resonance imaging of older people. They are promoted by vascular risk factors, especially hypertension, and are associated with cognitive deficits at the group level. It has been suggested that not only the severity, but also the location, of lesions might critically influence cognitive deficits and represent different pathologies. METHODS In 560 participants (65.2 ± 7.5 years, 51.4% males) of the population-based 1000BRAINS study, we analyzed the association of regional WMH using Fazekas scoring separately for cerebral lobes, with hypertension and cognition. RESULTS WMH most often affected the frontal lobe (83.7% score >0), followed by the parietal (75.8%), temporal (32.7%), and occipital lobe (7.3%). Higher Fazekas scores in the frontal, parietal, and temporal lobe were associated with higher blood pressure and antihypertensive treatment in unadjusted ordinal regression models and in models adjusted for age, sex, and vascular risk factors (e.g., age- and sex-adjusted odds ratio = 1.14, 95% confidence interval = 1.03-1.25 for the association of frontal lobe WMH Fazekas score with systolic blood pressure [SBP] [per 10 mm Hg]; 1.13 [1.02-1.23] for the association of parietal lobe score with SBP; 1.72 [1.19-2.48] for the association of temporal lobe score with antihypertensive medications). In linear regressions, higher frontal lobe scores were associated with lower performance in executive function and non-verbal memory, and higher parietal lobe scores were associated with lower performance in executive function, verbal-, and non-verbal memory. CONCLUSIONS Hypertension promotes WMH in the frontal, parietal, and temporal lobe. WMH in the frontal and parietal lobe are associated with reduced executive function and memory.
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Affiliation(s)
- Janine Gronewold
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | - Martha Jokisch
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Heiko Himpfen
- Department of Cardiology, Gastroenterology and Intensive-Care Medicine, Alfried Krupp Krankenhaus Essen, Essen, Germany
| | - Theresa Ginster
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Isabell Tenhagen
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | | | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Tatiana Miller
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Nils Lehmann
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Susanne Moebus
- Centre for Urban Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Dirk M Hermann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
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22
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Pietrasik W, Cribben I, Olsen F, Malykhin N. Diffusion tensor imaging of superficial prefrontal white matter in healthy aging. Brain Res 2023; 1799:148152. [PMID: 36343726 DOI: 10.1016/j.brainres.2022.148152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 09/27/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022]
Abstract
The prefrontal cortex (PFC) is a heterogenous structure that is highly susceptible to the effects of aging. Few studies have investigated age effects on the superficial white matter (WM) contained within the PFC using in-vivo magnetic resonance imaging (MRI). This study used diffusion tensor imaging (DTI) tractography to examine the effects of age, sex, and intracranial volume (ICV) on superficial WM within specific PFC subregions, and to model the relationships with age using higher order polynomial regression modelling. PFC WM of 140 healthy individuals, aged 18-85, was segmented into medial and lateral orbitofrontal, medial prefrontal, and dorsolateral prefrontal subregions. Differences due to age in microstructural parameters such as fractional anisotropy (FA), axial and radial diffusivities, and macrostructural measures of tract volumes, fiber counts, average fiber lengths, and average number of fibers per voxel were examined. We found that most prefrontal subregions demonstrated age effects, with decreases in FA, tract volume, and fiber counts, and increases in all diffusivity measures. Age relationships were mostly non-linear, with higher order regressions chosen in most cases. Declines in PFC FA began at the onset of adulthood while the greatest changes in diffusivity and volume did not occur until middle age. The effects of age were most prominent in medial tracts while the lateral orbitofrontal tracts were less affected. Significant effects of sex and ICV were also observed in certain parameters. The patterns mostly followed myelination order, with late-myelinating prefrontal subregions experiencing earlier and more pronounced age effects, further supporting the frontal theory of aging.
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Affiliation(s)
- Wojciech Pietrasik
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada; Neuroscience and Mental Health Institute, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Ivor Cribben
- Neuroscience and Mental Health Institute, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada; Department of Accounting & Business Analytics, Alberta School of Business, University of Alberta, Edmonton, Alberta, Canada
| | - Fraser Olsen
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Nikolai Malykhin
- Neuroscience and Mental Health Institute, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada; Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
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23
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Roseborough AD, Saad L, Goodman M, Cipriano LE, Hachinski VC, Whitehead SN. White matter hyperintensities and longitudinal cognitive decline in cognitively normal populations and across diagnostic categories: A meta-analysis, systematic review, and recommendations for future study harmonization. Alzheimers Dement 2023; 19:194-207. [PMID: 35319162 DOI: 10.1002/alz.12642] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 02/03/2022] [Accepted: 02/04/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION The primary aim of this paper is to improve the clinical interpretation of white matter hyperintensities (WMHs) and provide an overarching summary of methodological approaches, allowing researchers to design future studies targeting current knowledge gaps. METHODS A meta-analysis and systematic review was performed investigating associations between baseline WMHs and longitudinal cognitive outcomes in cognitively normal populations, and populations with mild cognitive impairment (MCI), Alzheimer's disease (AD), and stroke. RESULTS Baseline WMHs increase the risk of cognitive impairment and dementia across diagnostic categories and most consistently in MCI and post-stroke populations. Apolipoprotein E (APOE) genotype and domain-specific cognitive changes relating to strategic anatomical locations, such as frontal WMH and executive decline, represent important considerations. Meta-analysis reliability was assessed using multiple methods of estimation, and results suggest that heterogeneity in study design and reporting remains a significant barrier. DISCUSSION Recommendations and future directions for study of WMHs are provided to improve cross-study comparison and translation of research into consistent clinical interpretation.
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Affiliation(s)
- Austyn D Roseborough
- Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology, The Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Lorenzo Saad
- Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology, The Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Maren Goodman
- Western Libraries, The University of Western Ontario, London, Ontario, Canada
| | - Lauren E Cipriano
- Ivey Business School and Department of Epidemiology and Biostatistics, The University of Western Ontario, London, Ontario, Canada
| | - Vladimir C Hachinski
- Department of Clinical Neurological Sciences, The Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Shawn N Whitehead
- Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology, The Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
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24
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Li M, Sun Z, Sun H, Zhao G, Leng B, Shen T, Xue S, Hou H, Li Z, Zhang J. Paroxysmal slow wave events are associated with cognitive impairment in patients with obstructive sleep apnea. Alzheimers Res Ther 2022; 14:200. [PMID: 36585689 PMCID: PMC9801625 DOI: 10.1186/s13195-022-01153-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/25/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Increasing evidence has supported a link between obstructive sleep apnea (OSA) and cognition, and blood-brain barrier (BBB) dysfunction which can be reflected by paroxysmal slow wave events (PSWEs) may be a potential mechanism. The purpose of our study was to investigate the correlation between the PSWEs and cognitive impairment in patients with OSA, with a focus on the possible mechanism. METHODS In total, 339 subjects with subjective snoring complaints from the Sleep Medicine Center underwent magnetic resonance imaging and whole-night polysomnography. OSA was defined as apnea-hypopnea index (AHI) ≥ 5 events/h. MCI was defined as the MoCA < 26 and met the criteria: (1) subjective cognitive impairment; (2) objective impairment in one or more cognitive domains; (3) slightly impaired complex instrumental daily abilities, but independent daily living abilities; and (4) no dementia. The PSWEs calculated by self-developed Python scripts were defined for EEG recordings as a median power frequency of < 6 Hz for more than five consecutive seconds. Serum cyclophilin A (CyPA) and matrix metalloproteinase-9 (MMP-9) levels and amyloid-β 42 levels in neuron-derived exosomes were determined. The participants who received continuous positive airway pressure (CPAP) were followed up and their PSWEs were recalculated after 1 year of treatment. RESULTS A total of 339 participants were divided into the OSA+MCI group (n = 157), OSA-MCI group (n = 118), and controls (normal cognitive state without OSA) (n = 64). The total PSWEs and the occurrence per minute of PSWEs at stage REM in the OSA+MCI group were higher than those in the OSA-MCI and control groups. The duration ratio of PSWEs at stage REM in the OSA+MCI group significantly increased. The total PSWEs and PSWEs at the F4-M1, O1-M2, and O2-M1 channels in stage REM were independently associated with cognitive impairment in OSA patients. There were positive correlations between the PSWEs and serum CyPA and MMP-9 levels in patients with OSA. The mediation analysis showed that the relationship between mean SaO2 and percentage of sleep time spent with oxygen saturation <90% with MoCA scores was mediated by the total PSWEs (proportion of mediation 77.89% and 82.89%). The PSWEs were negatively correlated with global cognitive performance and cognitive subdomains. After 1 year of CPAP treatment, the total PSWEs, PSWEs in stage REM, and serum CyPA and MMP-9 levels decreased significantly, and MoCA scores were improved compared with baseline. CONCLUSIONS The PSWEs were implicated in cognitive impairment in patients with OSA, and the mechanisms of cognitive impairment due to hypoxia in OSA patients could be BBB dysfunction. The PSWEs can be used as a marker of cognitive impairment in patients with OSA. TRIAL REGISTRATION This trial is registered on the Chinese Clinical Trial Registry, number ChiCTR1900021544. The trial was registered on February 27, 2019.
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Affiliation(s)
- Mengfan Li
- grid.27255.370000 0004 1761 1174Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
| | - Zhuoran Sun
- grid.27255.370000 0004 1761 1174Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
| | - Hairong Sun
- grid.27255.370000 0004 1761 1174Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
| | - Guochen Zhao
- grid.19373.3f0000 0001 0193 3564School of Ocean Engineering, Harbin Institute of Technology at Weihai, Weihai, 264209 Shandong China
| | - Bing Leng
- grid.27255.370000 0004 1761 1174Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
| | - Tengqun Shen
- grid.27255.370000 0004 1761 1174Department of Resident Standardized Training Management, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
| | - Song Xue
- grid.268079.20000 0004 1790 6079Weifang Medical University, Weifang, 261053 Shandong China
| | - Huimin Hou
- grid.27255.370000 0004 1761 1174Department of Radiology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
| | - Zhenguang Li
- grid.27255.370000 0004 1761 1174Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
| | - Jinbiao Zhang
- grid.27255.370000 0004 1761 1174Department of Neurology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200 Shandong China
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Joo L, Shim WH, Suh CH, Lim SJ, Heo H, Kim WS, Hong E, Lee D, Sung J, Lim JS, Lee JH, Kim SJ. Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the Fazekas scale and differentiation of subcortical vascular dementia. PLoS One 2022; 17:e0274562. [PMID: 36107961 PMCID: PMC9477348 DOI: 10.1371/journal.pone.0274562] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 08/31/2022] [Indexed: 11/26/2022] Open
Abstract
Purpose To validate the diagnostic performance of commercially available, deep learning-based automatic white matter hyperintensity (WMH) segmentation algorithm for classifying the grades of the Fazekas scale and differentiating subcortical vascular dementia. Methods This retrospective, observational, single-institution study investigated the diagnostic performance of a deep learning-based automatic WMH volume segmentation to classify the grades of the Fazekas scale and differentiate subcortical vascular dementia. The VUNO Med-DeepBrain was used for the WMH segmentation system. The system for segmentation of WMH was designed with convolutional neural networks, in which the input image was comprised of a pre-processed axial FLAIR image, and the output was a segmented WMH mask and its volume. Patients presented with memory complaint between March 2017 and June 2018 were included and were split into training (March 2017–March 2018, n = 596) and internal validation test set (April 2018–June 2018, n = 204). Results Optimal cut-off values to categorize WMH volume as normal vs. mild/moderate/severe, normal/mild vs. moderate/severe, and normal/mild/moderate vs. severe were 3.4 mL, 9.6 mL, and 17.1 mL, respectively, and the AUC were 0.921, 0.956 and 0.960, respectively. When differentiating normal/mild vs. moderate/severe using WMH volume in the test set, sensitivity, specificity, and accuracy were 96.4%, 89.9%, and 91.7%, respectively. For distinguishing subcortical vascular dementia from others using WMH volume, sensitivity, specificity, and accuracy were 83.3%, 84.3%, and 84.3%, respectively. Conclusion Deep learning-based automatic WMH segmentation may be an accurate and promising method for classifying the grades of the Fazekas scale and differentiating subcortical vascular dementia.
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Affiliation(s)
- Leehi Joo
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Woo Hyun Shim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- * E-mail:
| | - Su Jin Lim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hwon Heo
- Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Woo Seok Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | | | | | | | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jae-Hong Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang Joon Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Barbosa BJAP, Siqueira Neto JI, Alves GS, Sudo FK, Suemoto CK, Tovar-Moll F, Smid J, Schilling LP, Balthazar MLF, Frota NAF, Souza LCD, Vale FAC, Caramelli P, Bertolucci PHF, Brucki SMD, Nitrini R, Engelhardt E, Chaves MLF. Diagnosis of vascular cognitive impairment: recommendations of the scientific department of cognitive neurology and aging of the Brazilian Academy of Neurology. Dement Neuropsychol 2022. [DOI: 10.1590/1980-5764-dn-2022-s104en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
ABSTRACT Since the publication of the latest recommendations for the diagnosis and treatment of Vascular Dementia by the Brazilian Academy of Neurology in 2011, significant advances on the terminology and diagnostic criteria have been made. This manuscript is the result of a consensus among experts appointed by the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology (2020-2022). We aimed to update practical recommendations for the identification, classification, and diagnosis of Vascular Cognitive Impairment (VCI). Searches were performed in the MEDLINE, Scopus, Scielo, and LILACS databases. This guideline provides a comprehensive review and then synthesizes the main practical guidelines for the diagnosis of VCI not only for neurologists but also for other professionals involved in the assessment and care of patients with VCI, considering the different levels of health care (primary, secondary and tertiary) in Brazil.
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Affiliation(s)
- Breno José Alencar Pires Barbosa
- Universidade Federal de Pernambuco, Brasil; Instituto de Medicina Integral Prof. Fernando Figueira, Brasil; Universidade de São Paulo, Brasil
| | | | | | | | | | | | | | - Lucas Porcello Schilling
- Pontifícia Universidade do Rio Grande do Sul, Brasil; Pontifícia Universidade do Rio Grande do Sul, Brasil; Pontifícia Universidade do Rio Grande do Sul, Brasil
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Barbosa BJAP, Siqueira Neto JI, Alves GS, Sudo FK, Suemoto CK, Tovar-Moll F, Smid J, Schilling LP, Balthazar MLF, Frota NAF, Souza LCD, Vale FAC, Caramelli P, Bertolucci PHF, Brucki SMD, Nitrini R, Engelhardt E, Chaves MLF. Diagnóstico do comprometimento cognitivo vascular: recomendações do Departamento Científico de Neurologia Cognitiva e do Envelhecimento da Academia Brasileira de Neurologia. Dement Neuropsychol 2022; 16:53-72. [DOI: 10.1590/1980-5764-dn-2022-s104pt] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 12/08/2021] [Accepted: 04/27/2022] [Indexed: 12/14/2022] Open
Abstract
RESUMO Desde a publicação das últimas recomendações para o diagnóstico e tratamento da Demência Vascular pela Academia Brasileira de Neurologia em 2011, avanços significativos ocorreram na terminologia e critérios diagnósticos. O presente manuscrito é resultado do consenso entre especialistas indicados pelo Departamento Científico de Neurologia Cognitiva e do Envelhecimento da Academia Brasileira de Neurologia (2020-2022). O objetivo foi atualizar as recomendações práticas para a identificação, classificação e diagnóstico do Comprometimento Cognitivo Vascular (CCV). As buscas foram realizadas nas plataformas MEDLINE, Scopus, Scielo e LILACS. As recomendações buscam fornecer uma ampla revisão sobre o tema, então sintetizar as evidências para o diagnóstico do CCV não apenas para neurologistas, mas também para outros profissionais de saúde envolvidos na avaliação e nos cuidados ao paciente com CCV, considerando as diferentes realidades dos níveis de atenção à saúde (primário, secundário e terciário) no Brasil.
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Affiliation(s)
- Breno José Alencar Pires Barbosa
- Universidade Federal de Pernambuco, Brasil; Instituto de Medicina Integral Prof. Fernando Figueira, Brasil; Universidade de São Paulo, Brasil
| | | | | | | | | | | | | | - Lucas Porcello Schilling
- Pontifícia Universidade do Rio Grande do Sul, Brasil; Pontifícia Universidade do Rio Grande do Sul, Brasil; Pontifícia Universidade do Rio Grande do Sul, Brasil
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Lu W, Yu C, Wang L, Wang F, Qiu J. Perfusion heterogeneity of cerebral small vessel disease revealed via arterial spin labeling MRI and machine learning. Neuroimage Clin 2022; 36:103165. [PMID: 36037662 PMCID: PMC9434130 DOI: 10.1016/j.nicl.2022.103165] [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: 04/13/2022] [Revised: 08/09/2022] [Accepted: 08/22/2022] [Indexed: 12/14/2022]
Abstract
Cerebral small vessel disease (CSVD) is associated with altered cerebral perfusion. However, global and regional cerebral blood flow (CBF) are highly heterogeneous across CSVD patients. The aim of this study was to identify subtypes of CSVD with different CBF patterns using an advanced machine learning approach. 121 CSVD patients and 53 healthy controls received arterial spin label MRI, T1 structural MRI and clinical measurements. Regional CBF were used to identify distinct perfusion subtypes of CSVD via a semi-supervised machine learning algorithm. Statistical analyses were used to explore alterations in CBF, clinical measures, gray and white matter volume between healthy controls and different subtypes of CSVD. Correlation analysis was used to assess the association between clinical measures and altered CBF in each CSVD subtype. Three subtypes of CSVD with distinct CBF patterns were found. Subtype 1 showed decreased CBF in the temporal lobe and increased CBF in the parietal and occipital lobe. Subtype 2 exhibited decreased CBF in the right hemisphere of the brain, and increased CBF in the left cerebrum. Subtype 3 demonstrated decreased CBF in the posterior part of the brain, and increased CBF in anterior part of the brain. The three subtypes also differed significantly in gender (p = 0.005), the proportion of subjects with lacune (p = 0.002), with periventricular white matter hyperintensity (p = 0.043), and CSVD burden score (p = 0.048). In subtype 3, it was found that widespread decreased CBF was correlated with total CSVD burden score (r = -0.324, p = 0.029). Compared with healthy controls, the three CSVD subtypes also showed distinct volumetric patterns of white matter. The current results associate different subtypes with different clinical and imaging phenotypes, which can improve the understanding of brain perfusion alterations of CSVD and can facilitate precision diagnosis of CSVD.
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Affiliation(s)
- Weizhao Lu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China,School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Chunyan Yu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Liru Wang
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Feng Wang
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China,Corresponding authors at: No. 706 Taishan Street, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China (F. Wang). No. 619 Changcheng Road, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, China (J. Qiu).
| | - Jianfeng Qiu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China,School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China,Corresponding authors at: No. 706 Taishan Street, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China (F. Wang). No. 619 Changcheng Road, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, China (J. Qiu).
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Individual differences in white matter microstructure of the face processing brain network are more differentiated from global fibers with increasing ability. Sci Rep 2022; 12:14075. [PMID: 35982145 PMCID: PMC9388653 DOI: 10.1038/s41598-022-17850-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 08/02/2022] [Indexed: 11/23/2022] Open
Abstract
Face processing—a crucial social ability—is known to be carried out in multiple dedicated brain regions which form a distinguishable network. Previous studies on face processing mainly targeted the functionality of face-selective grey matter regions. Thus, it is still partly unknown how white matter structures within the face network underpins abilities in this domain. Furthermore, how relevant abilities modulate the relationship between face-selective and global fibers remains to be discovered. Here, we aimed to fill these gaps by exploring linear and non-linear associations between microstructural properties of brain fibers (namely fractional anisotropy, mean diffusivity, axial and radial diffusivity) and face processing ability. Using structural equation modeling, we found significant linear associations between specific properties of fibers in the face network and face processing ability in a young adult sample (N = 1025) of the Human Connectome Project. Furthermore, individual differences in the microstructural properties of the face processing brain system tended toward stronger differentiation from global brain fibers with increasing ability. This is especially the case in the low or high ability range. Overall, our study provides novel evidence for ability-dependent specialization of brain structure in the face network, which promotes a comprehensive understanding of face selectivity.
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Zhang XD, Li JL, Zhou JM, Lu ZN, Zhao LR, Shen W, Xu JH, Cheng Y. Altered white matter structural connectivity in primary Sjögren's syndrome: a link-based analysis. Neuroradiology 2022; 64:2011-2019. [PMID: 35588325 DOI: 10.1007/s00234-022-02970-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 04/28/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE Cognitive impairment has been revealed in primary Sjögren's syndrome (pSS). However, the underlying white matter structural connectivity (SC) changes have not been studied. This study aimed to investigate the altered white matter brain network in patients with pSS using diffusion tensor imaging (DTI). METHODS Forty-one pSS patients and sixty matched healthy controls (HCs) underwent neuropsychological tests and the subsequent MRI examinations. The clinical data were gathered from the medical record. The structural brain network was established using DTI, and a link-based comparison was performed between patients with pSS and HCs (false discovery rate correction, P < 0.05). Furthermore, the mean fractional anisotropy (FA) of the altered SCs was correlated with the neuropsychological tests and clinical data in patients with pSS (Bonferroni correction, P < 0.05). RESULTS Compared with HCs, patients with pSS mainly exhibited decreased SC in the frontal and parietal lobes and some parts of the temporal and occipital lobes. In addition, increased SC was found between the right caudate nucleus and right median cingulate/paracingulate gyri. Specifically, the reduced SC between the left middle temporal gyrus and left middle occipital gyrus was negatively correlated with white matter high signal intensity (WMH). CONCLUSIONS Patients with pSS showed diffusely decreased SC mainly in the frontoparietal network and exhibited a negative correlation between the reduced SC and WMH. SC represents a potential biomarker for preclinical brain impairment in patients with pSS.
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Affiliation(s)
- Xiao-Dong Zhang
- Department of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, No.24 Fu Kang Road, Nan Kai District, Tianjin, 300192, China
| | - Jing-Li Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, China
| | - Jia-Min Zhou
- Department of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, No.24 Fu Kang Road, Nan Kai District, Tianjin, 300192, China
| | - Zi-Ning Lu
- Department of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, No.24 Fu Kang Road, Nan Kai District, Tianjin, 300192, China
| | - Lin-Ru Zhao
- Department of Rheumatology, Tianjin First Central Hospital, Tianjin, 300192, China
| | - Wen Shen
- Department of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, No.24 Fu Kang Road, Nan Kai District, Tianjin, 300192, China
| | - Jun-Hai Xu
- Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China.
| | - Yue Cheng
- Department of Radiology, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, No.24 Fu Kang Road, Nan Kai District, Tianjin, 300192, China.
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31
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Kim WSH, Luciw NJ, Atwi S, Shirzadi Z, Dolui S, Detre JA, Nasrallah IM, Swardfager W, Bryan RN, Launer LJ, MacIntosh BJ. Associations of white matter hyperintensities with networks of gray matter blood flow and volume in midlife adults: A coronary artery risk development in young adults magnetic resonance imaging substudy. Hum Brain Mapp 2022; 43:3680-3693. [PMID: 35429100 PMCID: PMC9294299 DOI: 10.1002/hbm.25876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/02/2022] Open
Abstract
White matter hyperintensities (WMHs) are emblematic of cerebral small vessel disease, yet effects on the brain have not been well characterized at midlife. Here, we investigated whether WMH volume is associated with brain network alterations in midlife adults. Two hundred and fifty‐four participants from the Coronary Artery Risk Development in Young Adults study were selected and stratified by WMH burden into Lo‐WMH (mean age = 50 ± 3.5 years) and Hi‐WMH (mean age = 51 ± 3.7 years) groups of equal size. We constructed group‐level covariance networks based on cerebral blood flow (CBF) and gray matter volume (GMV) maps across 74 gray matter regions. Through consensus clustering, we found that both CBF and GMV covariance networks partitioned into modules that were largely consistent between groups. Next, CBF and GMV covariance network topologies were compared between Lo‐ and Hi‐WMH groups at global (clustering coefficient, characteristic path length, global efficiency) and regional (degree, betweenness centrality, local efficiency) levels. At the global level, there were no between‐group differences in either CBF or GMV covariance networks. In contrast, we found between‐group differences in the regional degree, betweenness centrality, and local efficiency of several brain regions in both CBF and GMV covariance networks. Overall, CBF and GMV covariance analyses provide evidence that WMH‐related network alterations are present at midlife.
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Affiliation(s)
- William S. H. Kim
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Nicholas J. Luciw
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Sarah Atwi
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Zahra Shirzadi
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Sudipto Dolui
- Center for Functional Neuroimaging University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - John A. Detre
- Center for Functional Neuroimaging University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Ilya M. Nasrallah
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Walter Swardfager
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
- Canadian Partnership for Stroke Recovery Sunnybrook Research Institute Toronto Ontario Canada
- Department of Pharmacology and Toxicology University of Toronto Toronto Ontario Canada
- Toronto Rehabilitation Institute, University Health Network Toronto Ontario Canada
- Dr. Sandra Black Centre for Brain Resilience & Recovery Sunnybrook Research Institute Toronto Ontario Canada
| | - Robert Nick Bryan
- Department of Diagnostic Medicine University of Texas Austin Texas USA
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Science National Institute on Aging Bethesda Maryland USA
| | - Bradley J. MacIntosh
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
- Canadian Partnership for Stroke Recovery Sunnybrook Research Institute Toronto Ontario Canada
- Dr. Sandra Black Centre for Brain Resilience & Recovery Sunnybrook Research Institute Toronto Ontario Canada
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Small Vessel Disease: Ancient Description, Novel Biomarkers. Int J Mol Sci 2022; 23:ijms23073508. [PMID: 35408867 PMCID: PMC8998274 DOI: 10.3390/ijms23073508] [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: 03/01/2022] [Revised: 03/20/2022] [Accepted: 03/21/2022] [Indexed: 12/22/2022] Open
Abstract
Small vessel disease (SVD) is one of the most frequent pathological conditions which lead to dementia. Biochemical and neuroimaging might help correctly identify the clinical diagnosis of this relevant brain disease. The microvascular alterations which underlie SVD have common origins, similar cognitive outcomes, and common vascular risk factors. Nevertheless, the arteriolosclerosis process, which underlines SVD development, is based on different mechanisms, not all completely understood, which start from a chronic hypoperfusion state and pass through a chronic brain inflammatory condition, inducing a significant endothelium activation and a consequent tissue remodeling action. In a recent review, we focused on the pathophysiology of SVD, which is complex, involving genetic conditions and different co-morbidities (i.e., diabetes, chronic hypoxia condition, and obesity). Currently, many points still remain unclear and discordant. In this paper, we wanted to focus on new biomarkers, which can be the expression of the endothelial dysfunction, or of the oxidative damage, which could be employed as markers of disease progression or for future targets of therapies. Therefore, we described the altered response to the endothelium-derived nitric oxide-vasodilators (ENOV), prostacyclin, C-reactive proteins, and endothelium-derived hyperpolarizing factors (EDHF). At the same time, due to the concomitant endothelial activation and chronic neuroinflammatory status, we described hypoxia-endothelial-related markers, such as HIF 1 alpha, VEGFR2, and neuroglobin, and MMPs. We also described blood–brain barrier disruption biomarkers and imaging techniques, which can also describe perivascular spaces enlargement and dysfunction. More studies should be necessary, in order to implement these results and give them a clinical benefit.
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Zhang D, Zhu P, Yin B, Zhao P, Wang S, Ye L, Bai L, Yan Z, Bai G. Frontal White Matter Hyperintensities Effect on Default Mode Network Connectivity in Acute Mild Traumatic Brain Injury. Front Aging Neurosci 2022; 13:793491. [PMID: 35250532 PMCID: PMC8890121 DOI: 10.3389/fnagi.2021.793491] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
The functional connectivity of the brain depends not only on the structural integrity of the cortex but also on the white matter pathways between cortical areas. White matter hyperintensities (WMH), caused by chronic hypoperfusion in the white matter, play a role in the outcome of traumatic brain injury (TBI) and other neurodegenerative disorders. Herein, we investigate how the location and volume of WMH affect the default-mode network (DMN) connectivity in acute mild TBI (mTBI) patients. Forty-six patients with acute mTBI and 46 matched healthy controls were enrolled in the study. All participants underwent T2-weighted fluid-attenuated inversion recovery magnetic resonance imaging (MRI), resting-state functional MRI (fMRI),and neuropsychological assessments. The volume and location of WMH were recorded. The relationships between the WMH volume and clinical assessments were evaluated using Spearman’s correlation. Patients with higher frontal lobe WMH volume had more severe post-concussion symptoms and poorer information processing speed. Moreover, these patients had significantly lower functional connectivity in the right middle temporal gyrus, left middle frontal gyrus, right superior frontal gyrus, and left anterior cingulate cortex, compared with patients with low frontal lobe WMH volume. Compared to the controls, the patients with high frontal WMH volume exhibited significantly lower functional connectivity in the right inferior temporal gyrus, left anterior cingulate cortex, and right superior frontal gyrus. These findings suggest that frontal lobe WMH volume may modulate the functional connectivity within the DMN. Therefore, the WMH volume in specific regions of the brain, particularly the frontal and parietal lobes, may accelerate the process of aging and cognitive impairment may be a useful biomarker for the diagnosis and prognosis of acute mTBI.
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Affiliation(s)
- Danbin Zhang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Pingyi Zhu
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China
| | - Bo Yin
- Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China
| | - Pinghui Zhao
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China
| | - Shan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Limei Ye
- Department of Radiology, Jinhua Municipal Central Hospital and Jinhua Hospital of Zhejiang University, Jinhua, China
| | - Lijun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Zhihan Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China
- *Correspondence: Zhihan Yan,
| | - Guanghui Bai
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China
- Wenzhou Key Laboratory of Basic Science and Translational Research of Radiation Oncology, Wenzhou, China
- Guanghui Bai,
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Raghavan S, Przybelski SA, Reid RI, Lesnick TG, Ramanan VK, Botha H, Matchett BJ, Murray ME, Reichard RR, Knopman DS, Graff-Radford J, Jones DT, Lowe VJ, Mielke MM, Machulda MM, Petersen RC, Kantarci K, Whitwell JL, Josephs KA, Jack CR, Vemuri P. White matter damage due to vascular, tau, and TDP-43 pathologies and its relevance to cognition. Acta Neuropathol Commun 2022; 10:16. [PMID: 35123591 PMCID: PMC8817561 DOI: 10.1186/s40478-022-01319-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 12/27/2022] Open
Abstract
Multi-compartment modelling of white matter microstructure using Neurite Orientation Dispersion and Density Imaging (NODDI) can provide information on white matter health through neurite density index and free water measures. We hypothesized that cerebrovascular disease, Alzheimer's disease, and TDP-43 proteinopathy would be associated with distinct NODDI readouts of white matter damage which would be informative for identifying the substrate for cognitive impairment. We identified two independent cohorts with multi-shell diffusion MRI, amyloid and tau PET, and cognitive assessments: specifically, a population-based cohort of 347 elderly randomly sampled from the Olmsted county, Minnesota, population and a clinical research-based cohort of 61 amyloid positive Alzheimer's dementia participants. We observed an increase in free water and decrease in neurite density using NODDI measures in the genu of the corpus callosum associated with vascular risk factors, which we refer to as the vascular white matter component. Tau PET signal reflective of 3R/4R tau deposition was associated with worsening neurite density index in the temporal white matter where we measured parahippocampal cingulum and inferior temporal white matter bundles. Worsening temporal white matter neurite density was associated with (antemortem confirmed) FDG TDP-43 signature. Post-mortem neuropathologic data on a small subset of this sample lend support to our findings. In the community-dwelling cohort where vascular disease was more prevalent, the NODDI vascular white matter component explained variability in global cognition (partial R2 of free water and neurite density = 8.3%) and MMSE performance (8.2%) which was comparable to amyloid PET (7.4% for global cognition and 6.6% for memory). In the AD dementia cohort, tau deposition was the greatest contributor to cognitive performance (9.6%), but there was also a non-trivial contribution of the temporal white matter component (8.5%) to cognitive performance. The differences observed between the two cohorts were reflective of their distinct clinical composition. White matter microstructural damage assessed using advanced diffusion models may add significant value for distinguishing the underlying substrate (whether cerebrovascular disease versus neurodegenerative disease caused by tau deposition or TDP-43 pathology) for cognitive impairment in older adults.
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Affiliation(s)
| | - Scott A. Przybelski
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905 USA
| | - Robert I. Reid
- Department of Information Technology, Mayo Clinic, Rochester, MN 55905 USA
| | - Timothy G. Lesnick
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905 USA
| | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN 55905 USA
| | | | | | - R. Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905 USA
| | | | | | - David T. Jones
- Department of Neurology, Mayo Clinic, Rochester, MN 55905 USA
| | - Val J. Lowe
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Michelle M. Mielke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905 USA
- Department of Neurology, Mayo Clinic, Rochester, MN 55905 USA
| | - Mary M. Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905 USA
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Jennifer L. Whitwell
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | | | - Clifford R. Jack
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Prashanthi Vemuri
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
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35
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Vettore M, De Marco M, Pallucca C, Bendini M, Gallucci M, Venneri A. White-Matter Hyperintensity Load and Differences in Resting-State Network Connectivity Based on Mild Cognitive Impairment Subtype. Front Aging Neurosci 2021; 13:737359. [PMID: 34690743 PMCID: PMC8529279 DOI: 10.3389/fnagi.2021.737359] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/09/2021] [Indexed: 11/13/2022] Open
Abstract
"Mild cognitive impairment" (MCI) is a diagnosis characterised by deficits in episodic memory (aMCI) or in other non-memory domains (naMCI). Although the definition of subtypes is helpful in clinical classification, it provides little insight on the variability of neurofunctional mechanisms (i.e., resting-state brain networks) at the basis of symptoms. In particular, it is unknown whether the presence of a high load of white-matter hyperintensities (WMHs) has a comparable effect on these functional networks in aMCI and naMCI patients. This question was addressed in a cohort of 123 MCI patients who had completed an MRI protocol inclusive of T1-weighted, fluid-attenuated inversion recovery (FLAIR) and resting-state fMRI sequences. T1-weighted and FLAIR images were processed with the Lesion Segmentation Toolbox to quantify whole-brain WMH volumes. The CONN toolbox was used to preprocess all fMRI images and to run an independent component analysis for the identification of four large-scale haemodynamic networks of cognitive relevance (i.e., default-mode, salience, left frontoparietal, and right frontoparietal networks) and one control network (i.e., visual network). Patients were classified based on MCI subtype (i.e., aMCI vs. naMCI) and WMH burden (i.e., low vs. high). Maps of large-scale networks were then modelled as a function of the MCI subtype-by-WMH burden interaction. Beyond the main effects of MCI subtype and WMH burden, a significant interaction was found in the salience and left frontoparietal networks. Having a low WMH burden was significantly more associated with stronger salience-network connectivity in aMCI (than in naMCI) in the right insula, and with stronger left frontoparietal-network connectivity in the right frontoinsular cortex. Vice versa, having a low WMH burden was significantly more associated with left-frontoparietal network connectivity in naMCI (than in aMCI) in the left mediotemporal lobe. The association between WMH burden and strength of connectivity of resting-state functional networks differs between aMCI and naMCI patients. Although exploratory in nature, these findings indicate that clinical profiles reflect mechanistic interactions that may play a central role in the definition of diagnostic and prognostic statuses.
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Affiliation(s)
- Martina Vettore
- Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom.,Department of General Psychology, University of Padua, Padua, Italy
| | - Matteo De Marco
- Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom
| | - Claudia Pallucca
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.,Cognitive Impairment Center, Local Health Authority n.2 Marca Trevigiana, Treviso, Italy
| | - Matteo Bendini
- Unit of Neuroradiology, Treviso Regional Hospital, Treviso, Italy
| | - Maurizio Gallucci
- Cognitive Impairment Center, Local Health Authority n.2 Marca Trevigiana, Treviso, Italy
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom.,Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom
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36
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Qin Y, Ai D, Jordan AE, Guo X, Li T, Diao S, Zhao H, Liu Y, Xue Q, Wang Y, Fang Q. Better Screening Value of Sylvian Fissure Ratio on Cognitive Decline Among Female Compared to Male: An Observational Study in Elderly Patients With Cerebral Small Vessel Disease in Soochow. Front Neurosci 2021; 15:729782. [PMID: 34675766 PMCID: PMC8524438 DOI: 10.3389/fnins.2021.729782] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/03/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Cognitive decline (CD) occurs frequently in elderly patients with cerebral small vessel disease (CSVD). In China, elderly patients are more likely to enter healthcare in community hospitals where no magnetic resonance imaging (MRI) is available. This study aimed to explore the screening value of Sylvian fissure ratio (SFR) on CD and compare its gender difference from community-transferred patients. Methods: We performed a single-center, observational study (collected between April 1, 2016, and March 1, 2019) to evaluate the association between Montreal Cognitive Assessment (MoCA) and SFR in 203 eligible community-transferred patients. Baseline characteristics of patients were collected during hospitalization. Multiple linear regression analyses were used to estimate the effect of variables on MoCA, and interactions between select variables were analyzed in different models. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative effect of SFR to severe CD. Results: We identified that a meaningful SFR cutoff of 0.05 had important screening value (likelihood ratio test, p = 0.067) on CD. The ratio had a lower screen value in males when compared to females (adjusted β, −5.54; 95% CI, −8.78 to −2.30 vs. adjusted β, −1.01; 95% CI, −2.84 to 0.82). The gender difference was further verified by ROC curve analysis, in which this discriminative effect was more potent in females (from 0.878 to 0.948) compared to males (from 0.838 to 0.837). Conclusion: An SFR of 0.05 may be more useful to distinguish CD in female patients with CSVD than male patients in whom the syndrome is suspected clinically.
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Affiliation(s)
- Yiren Qin
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Dannan Ai
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | | | - Xiaoning Guo
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Tan Li
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shanshan Diao
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hongru Zhao
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yang Liu
- Department of Neurology, Saarland University, Homburg, Germany
| | - Qun Xue
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yueju Wang
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Geriatrics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Qi Fang
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
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37
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Yassine HN, Solomon V, Thakral A, Sheikh-Bahaei N, Chui HC, Braskie MN, Schneider LS, Talbot K. Brain energy failure in dementia syndromes: Opportunities and challenges for glucagon-like peptide-1 receptor agonists. Alzheimers Dement 2021; 18:478-497. [PMID: 34647685 PMCID: PMC8940606 DOI: 10.1002/alz.12474] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 06/11/2021] [Accepted: 08/11/2021] [Indexed: 12/12/2022]
Abstract
Medications for type 2 diabetes (T2DM) offer a promising path for discovery and development of effective interventions for dementia syndromes. A common feature of dementia syndromes is an energy failure due to reduced energy supply to neurons and is associated with synaptic loss and results in cognitive decline and behavioral changes. Among diabetes medications, glucagon‐like peptide‐1 (GLP‐1) receptor agonists (RAs) promote protective effects on vascular, microglial, and neuronal functions. In this review, we present evidence from animal models, imaging studies, and clinical trials that support developing GLP‐1 RAs for dementia syndromes. The review examines how changes in brain energy metabolism differ in conditions of insulin resistance and T2DM from dementia and underscores the challenges that arise from the heterogeneity of dementia syndromes. The development of GLP‐1 RAs as dementia therapies requires a deeper understanding of the regional changes in brain energy homeostasis guided by novel imaging biomarkers.
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Affiliation(s)
- Hussein N Yassine
- Department of Medicine, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA.,Department of Neurology, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Victoria Solomon
- Department of Medicine, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Angad Thakral
- Department of Medicine, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Nasim Sheikh-Bahaei
- Department of Radiology, Keck School of Medicine USC, Los Angeles, California, USA
| | - Helena C Chui
- Department of Neurology, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA
| | - Meredith N Braskie
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, USC, Los Angeles, California, USA
| | - Lon S Schneider
- Department of Neurology, University of Southern California, Keck School of Medicine USC, Los Angeles, California, USA.,Department of Psychiatry and Behavioral Sciences, Keck School of Medicine USC, Los Angeles, California, USA
| | - Konrad Talbot
- Departments of Neurosurgery, Pathology and Human Anatomy, and Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California, USA
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38
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Vintimilla R, Hall J, King K, Braskie MN, Johnson L, Yaffe K, Toga AW, O'Bryant S. MRI biomarkers of small vessel disease and cognition: A cross-sectional study of a cognitively normal Mexican American cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12236. [PMID: 34692977 PMCID: PMC8515357 DOI: 10.1002/dad2.12236] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 07/22/2021] [Accepted: 08/03/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND The current project sought to evaluate the impact that white matter hyperintensities (WMH) have on executive function in cognitively normal Mexican Americans, an underserved population with onset and more rapid progression of dementia. METHODS Data from 515 participants (360 female) enrolled in the Health and Aging Brain Study: Health Disparities project were analyzed. Participants underwent clinical evaluation, cognitive testing, and a brain MRI. Linear regression was used to predict the effect of total WMH volume on cognitive test scores. Age, sex, and education were entered as covariates. RESULTS Regression analysis showed that WMH volume significantly predicted executive function. WMH also predicted global cognition and attention scores, although not significantly after adjusting for age. CONCLUSION In this sample of cognitively normal Mexican Americans, we found that WMH volume was associated with lower scores in a measure of executive function, after accounting for age, sex, and education.
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Affiliation(s)
- Raul Vintimilla
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - James Hall
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - Kevin King
- Barrow Neurological InstitutePhoenixArizonaUSA
| | | | - Leigh Johnson
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - Kristine Yaffe
- University of California San FranciscoSan FranciscoCaliforniaUSA
| | - Arthur W. Toga
- University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Sid O'Bryant
- University of North Texas Health Science CenterFort WorthTexasUSA
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39
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Jenkins LM, Kogan A, Malinab M, Ingo C, Sedaghat S, Bryan NR, Yaffe K, Parrish TB, Nemeth AJ, Lloyd-Jones DM, Launer LJ, Wang L, Sorond F. Blood pressure, executive function, and network connectivity in middle-aged adults at risk of dementia in late life. Proc Natl Acad Sci U S A 2021; 118:e2024265118. [PMID: 34493658 PMCID: PMC8449402 DOI: 10.1073/pnas.2024265118] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 06/15/2021] [Indexed: 11/18/2022] Open
Abstract
Midlife blood pressure is associated with structural brain changes, cognitive decline, and dementia in late life. However, the relationship between early adulthood blood pressure exposure, brain structure and function, and cognitive performance in midlife is not known. A better understanding of these relationships in the preclinical stage may advance our mechanistic understanding of vascular contributions to late-life cognitive decline and dementia and may provide early therapeutic targets. To identify resting-state functional connectivity of executive control networks (ECNs), a group independent components analysis was performed of functional MRI scans of 600 individuals from the Coronary Artery Risk Development in Young Adults longitudinal cohort study, with cumulative systolic blood pressure (cSBP) measured at nine visits over the preceding 30 y. Dual regression analysis investigated performance-related connectivity of ECNs in 578 individuals (mean age 55.5 ± 3.6 y, 323 female, 243 Black) with data from the Stroop color-word task of executive function. Greater connectivity of a left ECN to the bilateral anterior gyrus rectus, right posterior orbitofrontal cortex, and nucleus accumbens was associated with better executive control performance on the Stroop. Mediation analyses showed that while the relationship between cSBP and Stroop performance was mediated by white matter hyperintensities (WMH), resting-state connectivity of the ECN mediated the relationship between WMH and executive function. Increased connectivity of the left ECN to regions involved in reward processing appears to compensate for the deleterious effects of WMH on executive function in individuals across the burden of cumulative systolic blood pressure exposure in midlife.
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Affiliation(s)
- Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611;
| | - Alexandr Kogan
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Matthew Malinab
- Faculty of Applied Sciences, Simon Fraser University, Burnaby, BC, Canada, V5A 1S6
| | - Carson Ingo
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Sanaz Sedaghat
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Nick R Bryan
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19103
| | - Kristine Yaffe
- Weill Institute for Neurosciences, University of California, San Francisco, CA 94121
| | - Todd B Parrish
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- McCormick School of Engineering, Northwestern University, Chicago, IL 60208
| | - Alexander J Nemeth
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, Baltimore, MD 20814
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Farzaneh Sorond
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
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40
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Qiao Y, He X, Zhang J, Liang Y, Shao W, Zhang Z, Zhang S, Peng D. The Associations Between White Matter Disruptions and Cognitive Decline at the Early Stage of Subcortical Vascular Cognitive Impairment: A Case-Control Study. Front Aging Neurosci 2021; 13:681208. [PMID: 34408641 PMCID: PMC8364958 DOI: 10.3389/fnagi.2021.681208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/04/2021] [Indexed: 11/13/2022] Open
Abstract
Objective Emerging evidence suggests that white matter (WM) disruption is associated with the incidence of subcortical vascular cognitive impairment (SVCI). However, our knowledge regarding this relationship in the early stage of SVCI is limited. We aimed to investigate the associations between WM disruptions and cognitive declines at the early stage of SVCI. Method We performed a case–control study, involving 22 cases and 19 controls. The cases were patients at the early stage of SVCI, which was defined as subcortical ischemic vascular disease with normal global cognitive measures (pre-SVCI). The controls were healthy people matched by age, sex, and education years. We assessed the differences in a battery of neuropsychological tests between the two groups, investigated the diffusion changes in 40 WM tracts among the participants via an atlas-based segmentation strategy, and compared the differences between the cases and controls by multiple linear regression analysis. We then evaluated the relationships between diffusion indices and cognitive assessment scores by Pearson’s correlation. Results The pre-SVCI group exhibited significant differences in the Montreal cognitive assessment (MoCA), Rey–Osterrieth Complex Figure (R-O)-copy, and Trail Making Test (TMT)-B test compared with the controls. Compared with the controls, some long associative and projective bundles, such as the right anterior corona radiata (ACR), the right inferior fronto-occipital fasciculus (IFOF), and the left external capsule (EC), were extensively damaged in cases after Bonferroni correction (p < 0.05/40). Damages to specific fibers, such as the right ACR, IFOF, and posterior thalamic radiation (PTR), exhibited significant correlations with declines in MoCA, R-O delay, and the Mini-Mental State Examination (MMSE), respectively, after Bonferroni correction (p < 0.05/14). Conclusion Long WM tracts, especially those in the right hemisphere, were extensively damaged in the pre-SVCI patients and correlated with declines in executive functions and spatial processing. Patients of pre-SVCI are likely at an ultra-early stage of SVCI, and there is a very high risk of this condition becoming SVCI.
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Affiliation(s)
- Yanan Qiao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Xuwen He
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Junying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Ying Liang
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Wen Shao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Sihang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Dantao Peng
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
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41
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Hilal S, Liu S, Wong TY, Vrooman H, Cheng CY, Venketasubramanian N, Chen CL, Zhou JH. White matter network damage mediates association between cerebrovascular disease and cognition. J Cereb Blood Flow Metab 2021; 41:1858-1872. [PMID: 33530830 PMCID: PMC8327109 DOI: 10.1177/0271678x21990980] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To determine whether white matter network disruption mediates the association between MRI markers of cerebrovascular disease (CeVD) and cognitive impairment. Participants (n = 253, aged ≥60 years) from the Epidemiology of Dementia in Singapore study underwent neuropsychological assessments and MRI. CeVD markers were defined as lacunes, white matter hyperintensities (WMH), microbleeds, cortical microinfarcts, cortical infarcts and intracranial stenosis (ICS). White matter microstructure damage was measured as fractional anisotropy and mean diffusivity by tract based spatial statistics from diffusion tensor imaging. Cognitive function was summarized as domain-specific Z-scores.Lacunar counts, WMH volume and ICS were associated with worse performance in executive function, attention, language, verbal and visual memory. These three CeVD markers were also associated with white matter microstructural damage in the projection, commissural, association, and limbic fibers. Path analyses showed that lacunar counts, higher WMH volume and ICS were associated with executive and verbal memory impairment via white matter disruption in commissural fibers whereas impairment in the attention, visual memory and language were mediated through projection fibers.Our study shows that the abnormalities in white matter connectivity may underlie the relationship between CeVD and cognition. Further longitudinal studies are needed to understand the cause-effect relationship between CeVD, white matter damage and cognition.
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Affiliation(s)
- Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Memory Aging & Cognition Centre, National University Health System, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Siwei Liu
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | - Henri Vrooman
- Departments of Radiology & Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | | | - Christopher Lh Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Juan Helen Zhou
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-NUS Medical School, Singapore
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42
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Samboju V, Cobigo Y, Paul R, Naasan G, Hillis M, Tsuei T, Javandel S, Valcour V, Milanini B. Cerebrovascular Disease Correlates With Longitudinal Brain Atrophy in Virally Suppressed Older People Living With HIV. J Acquir Immune Defic Syndr 2021; 87:1079-1085. [PMID: 34153014 PMCID: PMC8547347 DOI: 10.1097/qai.0000000000002683] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/25/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Mild cognitive difficulties and progressive brain atrophy are observed in older people living with HIV (PLWH) despite persistent viral suppression. Whether cerebrovascular disease (CVD) risk factors and white matter hyperintensity (WMH) volume correspond to the observed progressive brain atrophy is not well understood. METHODS Longitudinal structural brain atrophy rates and WMH volume were examined among 57 HIV-infected participants and 40 demographically similar HIV-uninfected controls over an average (SD) of 3.4 (1.7) years. We investigated associations between CVD burden (presence of diabetes, hypertension, hyperlipidemia, obesity, smoking history, and atrial fibrillation) and WMH with atrophy over time. RESULTS The mean (SD) age was 64.8 (4.3) years for PLWH and 66.4 (3.2) years for controls. Participants and controls were similar in age and sex (P > 0.05). PLWH were persistently suppressed (VL <375 copies/mL with 93% <75 copies/mL). The total number of CVD risk factors did not associate with atrophy rates in any regions of interests examined; however, body mass index independently associated with progressive atrophy in the right precentral gyrus (β = -0.30; P = 0.023), parietal lobe (β = -0.28; P = 0.030), and frontal lobe atrophy (β = -0.27; P = 0.026) of the HIV-infected group. No associations were found in the HIV-uninfected group. In both groups, baseline WMH was associated with progressive atrophy rates bilaterally in the parietal gray in the HIV-infected group (β = -0.30; P = 0.034) and the HIV-uninfected participants (β = -0.37; P = 0.033). CONCLUSIONS Body mass index and WMH are associated with atrophy in selective brain regions. However, CVD burden seems to partially contribute to progressive brain atrophy in older individuals regardless of HIV status, with similar effect sizes. Thus, CVD alone is unlikely to explain accelerated atrophy rates observed in virally suppressed PLWH. In older individuals, addressing modifiable CVD risk factors remains important to optimize brain health.
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Affiliation(s)
- Vishal Samboju
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
| | - Yann Cobigo
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
| | - Robert Paul
- Missouri Institute of Mental Health, University of
Missouri, St. Louis, MO, USA
| | - Georges Naasan
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
- Global Brain Health Institute, University of California,
San Francisco, CA, USA
- The Barbara and Maurice Deanne Center for Wellness and
Cognitive Health, Department of Neurology, Mount Sinai, Icahn School of Medicine,
NY, USA
| | - Madeline Hillis
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
| | - Torie Tsuei
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
| | - Shireen Javandel
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
| | - Victor Valcour
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
- Global Brain Health Institute, University of California,
San Francisco, CA, USA
| | - Benedetta Milanini
- Memory and Aging Center, Department of Neurology,
University of California San Francisco, CA, USA
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43
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Cumulative incidence and risk factors for radiation induced leukoencephalopathy in high grade glioma long term survivors. Sci Rep 2021; 11:10176. [PMID: 33986314 PMCID: PMC8119685 DOI: 10.1038/s41598-021-89216-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 04/16/2021] [Indexed: 01/29/2023] Open
Abstract
The incidence and risk factors associated with radiation-induced leukoencephalopathy (RIL) in long-term survivors of high-grade glioma (HGG) are still poorly investigated. We performed a retrospective research in our institutional database for patients with supratentorial HGG treated with focal radiotherapy, having a progression-free overall survival > 30 months and available germline DNA. We reviewed MRI scans for signs of leukoencephalopathy on T2/FLAIR sequences, and medical records for information on cerebrovascular risk factors and neurological symptoms. We investigated a panel of candidate single nucleotide polymorphisms (SNPs) to assess genetic risk. Eighty-one HGG patients (18 grade IV and 63 grade III, 50M/31F) were included in the study. The median age at the time of radiotherapy was 48 years old (range 18-69). The median follow-up after the completion of radiotherapy was 79 months. A total of 44 patients (44/81, 54.3%) developed RIL during follow-up. Twenty-nine of the 44 patients developed consistent symptoms such as subcortical dementia (n = 28), gait disturbances (n = 12), and urinary incontinence (n = 9). The cumulative incidence of RIL was 21% at 12 months, 42% at 36 months, and 48% at 60 months. Age > 60 years, smoking, and the germline SNP rs2120825 (PPARg locus) were associated with an increased risk of RIL. Our study identified potential risk factors for the development of RIL (age, smoking, and the germline SNP rs2120825) and established the rationale for testing PPARg agonists in the prevention and management of late-delayed radiation-induced neurotoxicity.
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44
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Frantellizzi V, Pani A, Ricci M, Locuratolo N, Fattapposta F, De Vincentis G. Neuroimaging in Vascular Cognitive Impairment and Dementia: A Systematic Review. J Alzheimers Dis 2021; 73:1279-1294. [PMID: 31929166 DOI: 10.3233/jad-191046] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Cerebrovascular diseases are well established causes of cognitive impairment. Different etiologic entities, such as vascular dementia (VaD), vascular cognitive impairment, subcortical (ischemic) VaD, and vascular cognitive disorder, are included in the umbrella definition of vascular cognitive impairment and dementia (VCID). Because of the variability of VCID clinical presentation, there is no agreement on criteria defining the neuropathological threshold of this disorder. In fact, VCID is characterized by cerebral hemodynamic alteration which ranges from decreased cerebral blood flow to small vessels disease and involves a multifactorial process that leads to demyelination and gliosis, including blood-brain barrier disruption, hypoxia, and hypoperfusion, oxidative stress, neuroinflammation and alteration on neurovascular unit coupling, cerebral microbleeds, or superficial siderosis. Numerous criteria for the definition of VaD have been described: the National Institute of Neurological Disorders and Stroke Association Internationale pour Recherche'-et-l'Enseignement en Neurosciences criteria, the State of California Alzheimer's Disease Diagnostic and Treatment Centers criteria, DSM-V criteria, the Diagnostic Criteria for Vascular Cognitive Disorders (a VASCOG Statement), and Vascular Impairment of Cognition Classification Consensus Study. Neuroimaging is fundamental for definition and diagnosis of VCID and should be used to assess the extent, location, and type of vascular lesions. MRI is the most sensible technique, especially if used according to standardized protocols, even if CT plays an important role in several conditions. Functional neuroimaging, in particular functional MRI and PET, may facilitate differential diagnosis among different forms of dementia. This systematic review aims to explore the state of the art and future perspective of non-invasive diagnostics of VCID.
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Affiliation(s)
| | - Arianna Pani
- Clinical Pharmacology and Toxicology, University of Milan "Statale", Italy
| | - Maria Ricci
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
| | | | | | - Giuseppe De Vincentis
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
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Huang J, Yang J, Zou X, Zuo S, Wang J, Cheng J, Zhu H, Li W, Shi M, Zhao G, Liu Z. Ginkgolide B promotes oligodendrocyte precursor cell differentiation and survival via Akt/CREB/bcl-2 signaling pathway after white matter lesion. Exp Biol Med (Maywood) 2021; 246:1198-1209. [PMID: 33557607 PMCID: PMC8142115 DOI: 10.1177/1535370221989955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 01/03/2021] [Indexed: 12/12/2022] Open
Abstract
White matter lesion (WML) is caused by chronic cerebral hypoperfusion, which are usually associated with cognitive impairment. Evidence from recent studies has shown that ginkgolide B has a neuroprotective effect that could be beneficial for the treatment of ischemia; however, it is not clear whether ginkgolide B has a protective effect on WML. Our data show that ginkgolide B can promote the differentiation of oligodendrocyte precursor cell (OPC) into oligodendrocytes and promote oligodendrocyte survival following a WML. Ginkgolide B (5, 10, 20 mg/kg) or saline is administered intraperitoneally every day after WML. After 4 weeks, the data of Morris water maze suggested that rats' memory and learning abilities were impaired, and the administration of ginkgolide B enhanced behavioral achievement. Also, treatment with ginkgolide B significantly attenuated this loss of myelin. Our result suggests that ginkgolide B promotes the differentiation of OPC into oligodendrocytes. We also found that ginkgolide B ameliorates oligodendrocytes apoptosis. Furthermore, ginkgolide B enhanced the expression of phosphorylated Akt and CREB. In conclusion, our data firstly show that ginkgolide B promotes oligodendrocyte genesis and oligodendrocyte myelin following a WML, possibly involving the Akt and CREB pathways.
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Affiliation(s)
- Jian Huang
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Jun Yang
- Department of Nephrology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Xingju Zou
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Shilun Zuo
- Department of Neurology, Second Affiliated Hospital of Army Military Medical University, Chongqing 400038, China
| | - Jing Wang
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Jing Cheng
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Hao Zhu
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Weiwang Li
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Ming Shi
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Gang Zhao
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
| | - Zhirong Liu
- Department of Neurology, Xijing Hospital, Airforce Military Medical University, Xi'an, Shaanxi 710032, China
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46
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Haebich KM, Willmott C, Scratch SE, Pascoe L, Lee KJ, Spencer-Smith MM, Cheong JLY, Inder TE, Doyle LW, Thompson DK, Anderson PJ. Neonatal brain abnormalities and brain volumes associated with goal setting outcomes in very preterm 13-year-olds. Brain Imaging Behav 2021; 14:1062-1073. [PMID: 30684152 DOI: 10.1007/s11682-019-00039-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Executive dysfunction including impaired goal setting (i.e., planning, organization skills, strategic reasoning) is documented in children born very preterm (VP; <30 weeks/<1250 g), however the neurological basis for this impairment is unknown. This study sought to examine the relationship between brain abnormalities and brain volumes on neonatal magnetic resonance imaging (MRI) and goal setting abilities of VP 13-year-olds. Participants were 159 children born VP in a prospective longitudinal study. Qualitative brain abnormality scores and quantitative brain volumes were derived from neonatal MRI brain scans (40 weeks' gestational age ± 2 weeks). Goal setting at 13 years was assessed using the Delis-Kaplan Executive Function Systems Tower Test, the Rey Complex Figure, and the Behavioural Assessment of the Dysexecutive System for Children Zoo Map and Six Part Test. A composite score was generated denoting overall performance on these goal setting measures. Separate regression models examined the association of neonatal brain abnormality scores and brain volumes with goal setting performance. There was evidence that higher neonatal white matter, deep grey matter and cerebellum abnormality scores were associated with poorer goal setting scores at 13 years. There was also evidence of positive associations between total brain volume, cerebellum, thalamic and cortical grey matter volumes and goal setting performance. Evidence for the associations largely persisted after controlling for potential confounders. Neonatal brain abnormality and brain volumes are associated with goal setting outcome in VP 13-year-olds. Used in conjunction with other clinical indicators, neonatal MRI may help to identify VP children at risk for later executive dysfunction.
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Affiliation(s)
- Kristina M Haebich
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.,Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | - Catherine Willmott
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.,Monash Epworth Rehabilitation Research Centre, Melbourne, Australia
| | - Shannon E Scratch
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.,Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada.,Department of Pediatrics, University of Toronto, Toronto, Canada
| | - Leona Pascoe
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.,Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | - Katherine J Lee
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Megan M Spencer-Smith
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.,Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | - Jeanie L Y Cheong
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.,Premature Infant Follow-up Programme, Royal Women's Hospital, Melbourne, Australia.,Department of Obstetrics and Gynaecology, Royal Women's Hospital, Melbourne, Australia
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Lex W Doyle
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Australia.,Premature Infant Follow-up Programme, Royal Women's Hospital, Melbourne, Australia.,Department of Obstetrics and Gynaecology, Royal Women's Hospital, Melbourne, Australia
| | - Deanne K Thompson
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.,Department of Pediatrics, University of Toronto, Toronto, Canada.,Florey Institute of Neurosciences and Mental Health, Melbourne, Australia
| | - Peter J Anderson
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia. .,Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.
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47
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Lam S, Lipton RB, Harvey DJ, Zammit AR, Ezzati A. White matter hyperintensities and cognition across different Alzheimer's biomarker profiles. J Am Geriatr Soc 2021; 69:1906-1915. [PMID: 33891712 DOI: 10.1111/jgs.17173] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 03/15/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND/OBJECTIVES To examine the association between white matter hyperintensities (WMH) and cognitive domains such as memory and executive function (EF) across different clinical and biomarker categories of Alzheimer's disease (AD). DESIGN Cross-sectional study. SETTING Alzheimer's Disease Neuroimaging Initiative. PARTICIPANTS A total of 216 cognitively normal (CN) participants and 407 participants with mild cognitive impairment (MCI) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) at baseline. MEASUREMENTS Based on the 2018 research framework, participants were classified using AT(N) (amyloid-β deposition [A], pathologic tau [T], and neurodegeneration [(N)]) biomarkers into one of three categories: biomarker negative [A - T- (N)-], amyloid negative but other biomarker positive [A - T ± (N)+ or A - T + (N)±] or amyloid positive [A + T ± (N)±]. Linear regression models were then used to examine the association between WMH and memory composite scores and EF composite scores. RESULTS Higher WMH burden was associated with worse EF in both CN and MCI subgroups while a significant association between WMH and memory was only found in the MCI subgroup. Furthermore, WMH was associated with EF in the group with A - T ± (N)+ or A - T + (N)± biomarker category, but not for A - T - (N)- (normal biomarker) and A + T ± (N) ± (AD pathology). The association between higher WMH and worse memory was independent of amyloid levels in individuals with MCI with evidence of AD pathology. CONCLUSION Vascular disease, as indexed by WMH, independent of AD pathology affects cognitive function in both CN and MCI subgroups. Future studies using the AT(N) research framework should consider white matter lesions as a key biomarker contributing to the clinical presentation of AD.
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Affiliation(s)
- Sharon Lam
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Richard B Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA.,Department of Neurology, Montefiore Medical Center, Bronx, New York, USA.,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Danielle J Harvey
- Department of Public Health Sciences, University of California-Davis, Davis, California, USA
| | - Andrea R Zammit
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.,Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Ali Ezzati
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA.,Department of Neurology, Montefiore Medical Center, Bronx, New York, USA
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48
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Patterns of white matter hyperintensities associated with cognition in middle-aged cognitively healthy individuals. Brain Imaging Behav 2021; 14:2012-2023. [PMID: 31278650 PMCID: PMC7572336 DOI: 10.1007/s11682-019-00151-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
White matter hyperintensities (WMH) are commonly detected in the brain of elderly individuals and have been associated with a negative impact on multiple cognitive domains. We aim to investigate the impact of global and regional distribution of WMH on episodic memory and executive function in middle-aged cognitively unimpaired participants [N = 561 (45–75 years)] enriched for Alzheimer’s disease risk factors. WMH were automatically segmented from FLAIR, T1 and FSE MR images. WMH load was calculated both globally and regionally. At each cerebral lobe, regional WMH load was measured at four equidistant layers extending from the lateral ventricles to juxtacortical areas. Cognition was measured by The Memory Binding Test (MBT) and WAIS-IV subtests. Global composite z-scores were calculated for the two cognitive domains. Association between global and regional WMH measurements were sought against cognitive measures, both in global composite scores and in individual subtests. We adjusted cognition and WMH burden for the main sociodemographic (age, sex and education) and genetic factors (APOE-ε4). Memory and executive function were significantly associated with global WMH load. Regionally, lower executive performance was mainly associated with higher deep WMH load in frontal areas and, to a lower degree, in occipital, parietal and temporal regions. Lower episodic memory performance was correlated with higher WMH burden in deep frontal and occipital areas. Our novel methodological approach of regional analysis allowed us to reveal the association between cognition and WMH in strategic brain locations. Our results suggest that, even a small WMH load can impact cognition in cognitively unimpaired middle-aged subjects.
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49
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Leibel DK, Williams MR, Katzel LI, Evans MK, Zonderman AB, Waldstein SR. Relations of Executive Function and Physical Performance in Middle Adulthood: A Prospective Investigation in African American and White Adults. J Gerontol B Psychol Sci Soc Sci 2021; 75:e56-e68. [PMID: 31993650 DOI: 10.1093/geronb/gbaa012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVES Previous studies in older adults found robust associations between executive functions (EF) and physical performance, as well as sociodemographic variation in physical performance decline. To examine these associations earlier in the adult lifespan, we investigated relations of EF, race, and sex with age-related physical performance decline during middle adulthood. METHOD Participants were 2,084 urban-dwelling adults (57.2% female; 57.8% African American; 37.3% living in poverty; mean baseline age = 48.1) from the Healthy Aging in Neighborhoods of Diversity across the Life Span study. Mixed-effects regression was used to examine interactive relations among EF, race, sex, and age (indexing time) with change in dominant and nondominant handgrip strength and lower extremity strength over approximately 5 years. All analyses adjusted for poverty status, and subsequently adjusted for education, body mass index, hypertension, and diabetes. RESULTS There were no significant prospective associations between EF and decline in physical performance measures. Significant cross-sectional associations revealed that lower EF was associated with worse performance on all physical performance measures averaged across both time points (p < .05). A significant two-way interaction of Sex × Age (p = .019) revealed that men experienced greater age-related decline in lower extremity strength than women. DISCUSSION Findings did not reveal prospective associations between EF and physical performance decline in middle adulthood. However, they identified robust cross-sectional associations between EF and physical performance, and unexpectedly greater decline in lower extremity strength in men than women. Ultimately, these findings may inform prevention and intervention strategies targeting groups at risk for poorer physical function status and decline.
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Affiliation(s)
- Daniel K Leibel
- Department of Psychology, University of Maryland, Baltimore County
| | - Megan R Williams
- Department of Psychology, University of Maryland, Baltimore County.,Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, Maryland
| | - Leslie I Katzel
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore.,Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Maryland
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, Maryland
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, Maryland
| | - Shari R Waldstein
- Department of Psychology, University of Maryland, Baltimore County.,Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore.,Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Maryland
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50
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Mdawar B, Abi Faraj C, Khani M, Shamseddeen W. Episode of mixed mood with psychotic features secondary to Binswanger disease: a case report with a literature review. BMJ Case Rep 2021; 14:14/3/e238957. [PMID: 33664028 PMCID: PMC7934766 DOI: 10.1136/bcr-2020-238957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Neurodegenerative and mood disorders in the geriatric population might exhibit interchangeable cognitive and behavioural symptoms. This overlap in presentation might raise a diagnostic challenge for psychiatrists evaluating elderly patients who are presenting with such symptoms. Additionally, there is limited data published about early psychiatric manifestations of neurodegenerative disorders in the elderly. We report a case of a 71-year-old with a history of refractory depressive disorder and multiple cardiovascular risk factors presenting with verbalisation of suicidal and homicidal intent as well as mixed mood and psychotic symptoms. The patient was diagnosed with Binswanger's disease (BD). We also provide a literature review of challenging early psychiatric presentations of neurocognitive disorders and a summary of similar cases to help facilitate diagnosis of BD cases in future.
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Affiliation(s)
- Bernadette Mdawar
- Department of Psychiatry, American University of Beirut Medical Center, Beirut, Lebanon
| | | | - Munir Khani
- Department of Psychiatry, American University of Beirut Medical Center, Beirut, Lebanon
| | - Wael Shamseddeen
- Department of Psychiatry, American University of Beirut Medical Center, Beirut, Lebanon
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