Article
Neuroimaging
Ibrahim Shaikh, Christian Beaulieu, Myrlene Gee, Cheryl R. McCreary, Andrew E. Beaudin, Diana Valdes-Cabrera, Eric E. Smith, Richard Camicioli
Summary: Diffusion tensor imaging metrics of the fornix were compared between patients with cerebral amyloid angiopathy (CAA), Alzheimer's disease (AD), Mild Cognitive Impairment (MCI), and healthy controls. The study found significant diffusion changes in the fornix of CAA, AD, and MCI patients compared to controls, suggesting differences in the mechanisms of fornix diffusion abnormalities between CAA and AD/MCI.
NEUROIMAGE-CLINICAL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Wenji Xu, Xiangru Sun, Haoru Jiang, Xiaochun Wang, Bin Wang, Qiao Niu, Huaxing Meng, Jiangfeng Du, Guoqiang Yang, Bo Liu, Hui Zhang, Yan Tan
Summary: This study investigates the use of diffusion kurtosis imaging (DKI) to differentiate mild cognitive impairment (MCI) from normal controls (NC) in aluminum (Al)-exposed workers, and explores the association between DKI, cognitive performance, and plasma Al concentration. The results indicate that DKI can be a sensitive imaging biomarker for diagnosing MCI and assessing the severity of cognitive impairment. The right hippocampus shows the most significant correlation with cognitive performance. However, there is no correlation between DKI parameters and plasma Al levels.
ACADEMIC RADIOLOGY
(2023)
Article
Geriatrics & Gerontology
James R. Hall, Leigh A. Johnson, Fan Zhang, Melissa Petersen, Arthur W. Toga, Yonggang Shi, David Mason, Robert A. Rissman, Kristine Yaffe, Sid E. O'Bryant
Summary: The study found that diffusion tensor MRI marker profiles were accurate in detecting mild cognitive impairment (MCI) and dementia, but showed significant variations between different populations.
DEMENTIA AND GERIATRIC COGNITIVE DISORDERS
(2021)
Article
Neurosciences
Fangmei He, Yuchen Zhang, Xiaofeng Wu, Youjun Li, Jie Zhao, Peng Fang, Liming Fan, Chenxi Li, Tian Liu, Jue Wang
Summary: Using diffusion tensor imaging to analyze white matter microstructure changes in different trajectories of aMCI patients can predict the disease trajectory and enable early diagnosis.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Clinical Neurology
Linzi Qin, Zhiwei Guo, Morgan A. McClure, Qiwen Mu
Summary: This meta-analysis identified significantly decreased FA in several brain regions in AD patients compared to those with MCI, suggesting these regions may play a key role in the progression from MCI to AD.
ACTA NEUROLOGICA BELGICA
(2021)
Article
Neurosciences
Weihua Li, Zhilian Zhao, Min Liu, Shaozhen Yan, Yanhong An, Liyan Qiao, Guihong Wang, Zhigang Qi, Jie Lu
Summary: This study validates the improvement in classification performance by combining F-18-FDG PET and DTI, compared to using a single modality, for differentiating AD, aMCI, and HC.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Geriatrics & Gerontology
Yongjia Shao, Zijian Wang, Bin Ji, Hang Qi, Shangci Hao, Gang Li, Yue Zhang, Qian Xi
Summary: The olfactory ability of patients with mild cognitive impairment was found to be lower overall and positively correlated with cognitive assessment results. Fractional anisotropy changes significantly in regions such as the corpus callosum, the orbitofrontal gyrus, and the left occipital lobe among MCI patients. Fibrous connections in certain brain regions, like the entorhinal cortex, were stronger in MCI patients, indicating a potential compensatory mechanism in the olfactory pathway.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Geriatrics & Gerontology
Maurizio Bergamino, Simona Schiavi, Alessandro Daducci, Ryan R. Walsh, Ashley M. Stokes
Summary: This study utilized advanced diffusion MRI technology to investigate white matter integrity and structural connectivity in healthy controls and individuals with mild cognitive impairment (MCI). The results showed lower intracellular compartment and higher isotropic values in the MCI group compared to the healthy control group. Significant correlations were also found between intracellular compartment values and Montreal Cognitive Assessment scores in the MCI group. Network analysis revealed differences in structural connectivity between the two groups, as well as significant differences in global network efficiency.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Neuroimaging
Longfei Li, Wei Yang, Yu Wan, Hailong Shen, Ting Wang, Liangliang Ping, Chuanxin Liu, Min Chen, Hao Yu, Shushu Jin, Yuqi Cheng, Xiufeng Xu, Cong Zhou
Summary: This study used diffusion tensor imaging (DTI) to examine white matter microarchitecture alterations in patients with mild cognitive impairment (MCI). The results showed significant changes in multiple regions of the brain, including the corpus callosum and left striatum. These findings contribute to our understanding of the neuropathological mechanism underlying MCI.
BRAIN IMAGING AND BEHAVIOR
(2023)
Article
Neurosciences
Ping Liu, Hai Liu, Lijun Wei, Xun Shi, Wei Wang, Shengxiang Yan, Wenya Zhou, Jiangong Zhang, Suxia Han
Summary: This study aimed to investigate the effect of ED on impaired learning and memory in DTX-treated rats using cognitive behavior assessments and DTI. The results showed that ED can ameliorate the cognitive dysfunctions caused by DTX in rats by improving the learning and memory impairment, as reflected in the recovery of biological behavior and DTI indicators of the hippocampus.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Endocrinology & Metabolism
Umesh Kumar, Abhai Kumar, Smita Singh, Payal Arya, Sandeep Kumar Singh, Rameshwar Nath Chaurasia, Anup Singh, Dinesh Kumar
Summary: This study identified elevated levels of several plasma metabolites in MCI patients compared to healthy controls, with lysine, glycine, and glutamine being proposed as potential biomarkers for MCI. The findings aim to enhance diagnostic and prognostic strategies for MCI and shed light on the disease pathogenesis. Further research targeting the metabolic phenotype of MCI may lead to the development of future dietary interventions to limit disease progression.
METABOLIC BRAIN DISEASE
(2021)
Article
Medicine, General & Internal
Lara Pankatz, Philine Rojczyk, Johanna Seitz-Holland, Sylvain Bouix, Leonard B. Jung, Tim L. T. Wiegand, Elena M. Bonke, Nico Sollmann, Elisabeth Kaufmann, Holly Carrington, Twishi Puri, Yogesh Rathi, Michael J. Coleman, Ofer Pasternak, Mark S. George, Thomas W. Mcallister, Ross Zafonte, Murray B. Stein, Christine E. Marx, Martha E. Shenton, Inga K. Koerte
Summary: This study analyzed diffusion and structural MRI data of 278 participants with and without military background, and found microstructural alterations at the gray matter/white matter boundary of the brain after mild traumatic brain injury (mTBI) that were associated with post-concussive symptom severity, functional, and cognitive impairment. These findings suggest that microstructural changes at the gray matter/white matter boundary may be sensitive markers of adverse long-term outcomes following mTBI.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Geriatrics & Gerontology
David B. Stone, Sephira G. Ryman, Alexandra P. Hartman, Christopher J. Wertz, Andrei A. Vakhtin
Summary: The study found that diffusion measures from seven white matter tracts can predict the conversion to Alzheimer's Disease (AD), with axial diffusivity being the most predictive measure. Additional analyses revealed that specific white matter changes in certain brain regions are the best predictors of conversion from MCI to AD.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Bahare Bigham, Seyed Amir Zamanpour, Hoda Zare
Summary: This study applied an automated method to classify patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) and healthy control (HC) subjects using diffusion tensor imaging (DTI) features in the superficial white matter (SWM). Results showed that the linear kernel of support vector machines (SVM) had the highest accuracy in distinguishing AD and HC groups, followed by the quadratic kernel for MCI and HC groups, and the Gaussian kernel for AD and MCI groups. These features could be a useful tool for assisting in the diagnosis of AD and MCI.
Article
Clinical Neurology
Benjamin M. Hampstead, Anthony Y. Stringer, Alexandru D. Iordan, Robert Ploutz-Snyder, K. Sathian
Summary: Cognitive training is a potential technique for treating cognitive impairment caused by neurological injury and disease. Different training methods have different mechanisms of action and engage distinct brain regions. Mnemonic strategy training (MST) showed superior effects in the short term and increased activation and functional connectivity in multiple brain regions.
ALZHEIMERS & DEMENTIA
(2023)
Article
Geriatrics & Gerontology
Juraj Sprung, Mariana L. Laporta, David S. Knopman, Ronald C. Petersen, Michelle M. Mielke, Clifford R. Jack, David P. Martin, Andrew C. Hanson, Darrell R. Schroeder, Phillip J. Schulte, Scott A. Przybelski, Diana J. Valencia Morales, Toby N. Weingarten, Prashanthi Vemuri, David O. Warner
Summary: This study found that hospitalization in older adults is associated with accelerated cortical thinning, amyloid accumulation, and white matter hyperintensities (WMH) increases, especially in medical hospitalizations. However, these changes were modest and did not translate to an increased risk of crossing the abnormality threshold.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2023)
Article
Geriatrics & Gerontology
B. Gwen Windham, Michael E. Griswold, Radhikesh Ranadive, Kevin Sullivan, Thomas H. Mosley, Michelle M. Mielke, Clifford R. Jack, Dave Knopman, Ron Petersen, Prashanthi Vemuri
Summary: This study aimed to examine if the association between cerebral perfusion and gait speed is influenced by systolic blood pressure and age. The results showed that poorer cerebral perfusion is associated with slower gait speeds, particularly with older age, while higher perfusion can significantly attenuate age-related differences in gait speed.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2023)
Article
Rheumatology
Chanakya Kodishala, Cassondra A. Hulshizer, Vanessa L. Kronzer, John M. Davis III, Vijay K. Ramanan, Maria Vassilaki, Michelle M. Mielke, Cynthia S. Crowson, Elena Myasoedova
Summary: This study assessed the risk factors for dementia in patients with rheumatoid arthritis (RA). The findings showed that older age, rheumatoid nodules, hypertension, joint swelling, cardiovascular diseases, and psychological issues were associated with an increased risk of dementia.
JOURNAL OF RHEUMATOLOGY
(2023)
Letter
Rheumatology
Chanakya Kodishala, Cassondra A. Hulshizer, Vanessa L. Kronzer, John M. Davis III, Vijay K. Ramanan, Maria Vassilaki, Michelle M. Mielke, Cynthia S. Crowson, Elena Myasoedova
JOURNAL OF RHEUMATOLOGY
(2023)
Article
Clinical Neurology
Clifford R. Jack Jr, Heather J. Wiste, Alicia Algeciras-Schimnich, Dan J. Figdore, Christopher G. Schwarz, Val J. Lowe, Vijay K. Ramanan, Prashanthi Vemuri, Michelle M. Mielke, David S. Knopman, Jonathan Graff-Radford, Bradley F. Boeve, Kejal Kantarci, Petrice M. Cogswell, Matthew L. Senjem, Jeffrey L. Gunter, Terry M. Therneau, Ronald C. Petersen
Summary: Staging the severity of Alzheimer's disease pathology is important for therapeutic trials and clinical prognosis. Biomarkers such as amyloid and tau PET can be used for disease staging, but plasma biomarkers would be more practical.
Article
Geriatrics & Gerontology
Ronald L. Simons, Mei Ling Ong, Steven R. H. Beach, Man-Kit Lei, Robert Philibert, Michelle M. Mielke
Summary: This study examines the impact of racism on African Americans' risk for dementia. It found that low socioeconomic status and discrimination predicted self-reported cognitive decline 19 years later. Depression, accelerated aging, and chronic illness were identified as potential mediating pathways.
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES
(2023)
Article
Neurosciences
Mingyang Li, Xinyi Xu, Zuozhen Cao, Ruike Chen, Ruoke Zhao, Zhiyong Zhao, Xixi Dang, Kenichi Oishi, Dan Wu
Summary: The neonatal period is a critical window for brain development and has implications for long-term cognition and disorders. This study used multi-modal MRI data to generate automated multi-resolution and neonate-specific parcellations of the cerebral cortex, which showed high reproducibility and stability. Additionally, a manually delineated parcellation with high interpretability was provided. These findings may facilitate future studies of the human connectome in early development.
Article
Clinical Neurology
Michelle M. M. Mielke, Ryan D. D. Frank, Luke R. R. Christenson, Julie A. A. Fields, Walter A. A. Rocca, Vesna D. D. Garovic
Summary: This study found that women with a history of hypertensive disorders of pregnancy (HDP), especially those with preeclampsia/eclampsia (PE/E), are more likely to experience cognitive decline in later life.
Article
Genetics & Heredity
Ronald L. Simons, Mei Ling Ong, Man-Kit Lei, Steven R. H. Beach, Yue Zhang, Robert Philibert, Michelle M. Mielke
Summary: A recent study developed a new epigenetic measure of aging using human cortex tissue called cortical clock (CC). This CC outperformed existing blood-based epigenetic clocks in predicting brain age and neurological degeneration. The study also found that loneliness and BDNFm were robust predictors of accelerated CC-Bd, suggesting a link between brain health and overall aging of the organism.
Article
Clinical Neurology
Jillian K. Lee, Ryan D. Frank, Luke R. Christenson, Julie A. Fields, Walter A. Rocca, Michelle M. Mielke
Summary: A study of 2458 women found that the length of reproductive window was not associated with cognition, higher parity was associated with greater cognitive decline, hormonal contraception use was associated with less decline in cognition, and menopausal hormone therapy use was associated with greater decline in cognition except visuospatial.
ALZHEIMERS & DEMENTIA
(2023)
Article
Developmental Biology
Kengo Onda, Raul Chavez-Valdez, Ernest M. Graham, Allen D. Everett, Frances J. Northington, Kenichi Oishi
Summary: Neonatal hypoxic-ischemic encephalopathy (HIE) is a common condition in newborns that can result in severe neurological outcomes. Diffusion tensor imaging (DTI) is a powerful neuroimaging tool that can accurately predict the prognosis of HIE by measuring microscopic features of brain tissue. Previous studies have shown that DTI measurements, such as fractional anisotropy (FA) and mean diffusivity (MD), can effectively predict the occurrence of neurological sequelae in HIE patients. Recent research also suggests that machine learning techniques applied to whole-brain image quantification may provide accurate prognostication for HIE. However, further research and validation are needed for the clinical application of DTI in prognostication.
DEVELOPMENTAL NEUROSCIENCE
(2023)
Article
Peripheral Vascular Disease
Virginia A. Dines, Andrea G. Kattah, Amy L. Weaver, Lisa E. Vaughan, Alanna M. Chamberlain, Suzette J. Bielinski, Michelle M. Mielke, Vesna D. Garovic
Summary: This study found that both in utero exposure to HDP and maternal chronic hypertension are independently associated with an increased risk of chronic hypertension in offspring. When both risk factors are present, there is a 2.4-fold increase in the risk of hypertension in offspring.
Article
Clinical Neurology
Ethan D. Moser, Sheila M. Manemann, Nicholas B. Larson, Jennifer L. St Sauver, Paul Y. Takahashi, Michelle M. Mielke, Walter A. Rocca, Janet E. Olson, Veronique L. Roger, Alan T. Remaley, Paul A. Decker, Jill M. Killian, Suzette J. Bielinski
Summary: This study aims to investigate the association between lipid variability and the risk of AD/ADRD. The study found that individuals with higher variability in total cholesterol and triglyceride levels had an increased risk of developing AD/ADRD. Further research is needed to understand the underlying mechanisms of this association.
Article
Cell Biology
Clara Vila-Castelar, Chinedu Udeh-Momoh, Neelum T. Aggarwal, Michelle M. Mielke
Summary: Studies have found sex and/or gender differences in Alzheimer's disease, but little research has been conducted on other dementias. This article highlights the sex and gender differences in other forms of dementia, explores sociocultural factors, and provides a framework for future global studies.
Article
Computer Science, Information Systems
Kei Nishimaki, Kumpei Ikuta, Shingo Fujiyama, Kenichi Oishi, Hitoshi Iyatomi
Summary: This study proposes a novel posture correction skull stripping (PCSS) method to improve the accuracy and consistency of skull stripping by adjusting the subject's head angle and position and utilizing machine learning techniques. Experimental results show that the PCSS method outperforms current state-of-the-art techniques in skull stripping performance.
