Article
Psychiatry
Marcela Kitaigorodsky, Rosie E. Curiel Cid, Elizabeth Crocco, Katherine L. Gorman, Christian J. Gonzalez-Jimenez, Maria Greig-Custo, Warren W. Barker, Ranjan Duara, David A. Loewenstein
Summary: The study highlights the importance of developing measures sensitive to early cognitive changes in Alzheimer's disease, with the Loewenstein-Acevedo Scales of Semantic Interference (LASSI-L) showing promise in this area.
Specifically, the MCI amyloid positive group showed a significantly greater decline in LASSI-L performance compared to the MCI amyloid negative and CU groups, indicating the potential of LASSI-L for assisting in the diagnosis and tracking disease progression in MCI patients.
JOURNAL OF PSYCHIATRIC RESEARCH
(2021)
Article
Neurosciences
Xiaomei Zhong, Ben Chen, Le Hou, Qiang Wang, Meiling Liu, Mingfeng Yang, Min Zhang, Huarong Zhou, Zhangying Wu, Si Zhang, Gaohong Lin, Yuping Ning
Summary: This study aimed to compare temporal variability in the spontaneous fluctuations of activity and connectivity between amnestic MCI (aMCI) and nonamnestic MCI (naMCI). The results showed that both aMCI and naMCI patients exhibited abnormal brain activity and connectivity. The variability in dALFF, dReHo, and hippocampal dFC was different between aMCI and naMCI patients and was associated with cognitive scores. The dReHo of the superior parietal lobule and dFC of the hippocampus-cerebellum contributed to the memory heterogeneity of MCI subtypes.
CNS NEUROSCIENCE & THERAPEUTICS
(2022)
Article
Neurosciences
Elveda Gozdas, Hannah Fingerhut, Hua Wu, Jennifer L. Bruno, Lauren Dacorro, Booil Jo, Ruth O'Hara, Allan L. Reiss, S. M. Hadi Hosseini
Summary: Healthy and pathological aging affect brain microstructure through complex processes. The study demonstrated that reduced MTV in association tracts is linked to older age in healthy aging, correlated with memory performance, and distinguishes aMCI from controls. Additionally, changes in gray matter tissue properties were also documented, showing a widespread decrease in R1 with age and decreased R1 in aMCI compared to controls.
Article
Neurosciences
Delshad Vaghari, Ehsanollah Kabir, Richard N. Henson
Summary: This study examined the potential of Magnetoencephalography (MEG) in early detection of Alzheimer's disease (AD). The results showed that combining MEG data with structural MRI data improved classification accuracy for Mild Cognitive Impairment (MCI) patients. However, MEG alone performed worse than MRI alone. Other MEG features were found to provide complementary information for classification above MRI.
Article
Biochemistry & Molecular Biology
Chieh-Hsin Lin, Hsien-Yuan Lane
Summary: This study longitudinally monitored plasma GSH levels and cognitive function in MCI patients, showing a significant decline over a 2-year period, while these levels remained relatively stable in healthy individuals. Both baseline GSH levels and changes in GSH levels were found to significantly influence cognitive decline in MCI patients, suggesting that blood GSH concentration may be a potential biomarker for monitoring cognitive changes in MCI.
Article
Psychology, Clinical
Ioannis Liampas, Vasiliki Folia, Renia Morfakidou, Vasileios Siokas, Mary Yannakoulia, Paraskevi Sakka, Nikolaos Scarmeas, Georgios Hadjigeorgiou, Efthimios Dardiotis, Mary H. Kosmidis
Summary: This study investigated differences in language performance among older adults with normal cognition, mild cognitive impairment, and Alzheimer's disease. The findings suggested that there were discrepancies between amnestic and non-amnestic MCI groups, with individuals with amnestic MCI performing worse in semantic fluency and verbal comprehension tasks.
ARCHIVES OF CLINICAL NEUROPSYCHOLOGY
(2023)
Article
Clinical Neurology
Chao Du, Mingxi Dang, Kewei Chen, Yaojing Chen, Zhanjun Zhang
Summary: The study found that aMCI is characterized by volumetric atrophy of the left hippocampus, while naMCI is characterized by altered volume of the right inferior frontal gyrus and significant damage to fiber bundles in multiple directions. Additionally, mediation analyses showed that gray matter atrophy affects fiber bundles, which in turn affect cognitive function, highlighting the importance of detailed differential diagnoses in the early stages of neurodegenerative diseases.
ALZHEIMERS RESEARCH & THERAPY
(2023)
Article
Neurosciences
Julie Mouchet, Keith A. Betts, Mihaela Georgieva, Raluca Ionescu-Ittu, Lesley M. Butler, Xavier Teitsma, Paul Delmar, Thomas Kulalert, JingJing Zhu, Neema Lema, Urvi Desai
Summary: Approximately a third of participants experienced progression based on CDR-SB or FAQ during the 4-year follow-up period. CDR-SB and FAQ class assignment were concordant for the vast majority of participants. Identified predictors may help the selection of patients at higher risk of progression in future trials.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Geriatrics & Gerontology
Morgan Gautherot, Gregory Kuchcinski, Cecile Bordier, Adeline Rollin Sillaire, Xavier Delbeuck, Melanie Leroy, Xavier Leclerc, Jean-Pierre Pruvo, Florence Pasquier, Renaud Lopes
Summary: The study evaluated PAD as a marker of phenotypic heterogeneity and severity among early-onset Alzheimer's disease (EOAD) patients, showing that PAD could distinguish between amnestic and non-amnestic sporadic forms.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Geriatrics & Gerontology
Zhenrong Fu, Mingyan Zhao, Yirong He, Xuetong Wang, Jiadong Lu, Shaoxian Li, Xin Li, Guixia Kang, Ying Han, Shuyu Li
Summary: The study revealed that structural covariance and connectivity strength are decreased in individuals with subjective cognitive decline (SCD) compared to normal controls (NC), and structural covariance patterns in specific large-scale brain networks show divergent changes at the early Alzheimer's disease (aMCI) stage and dementia (AD) stage.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Biology
Min Luo, Zhen He, Hui Cui, Yi-Ping Phoebe Chen, Phillip Ward
Summary: We propose a novel attention transfer method for accurately predicting the progression of Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI). Our method trains a 3D convolutional neural network to automatically learn regions of interest (ROI) from images and transfer attention maps instead of model weights. Our method outperformed traditional transfer learning and methods using expert knowledge to define ROI, and the attention map revealed Alzheimer's pathology.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Neurosciences
Xiaotong Wei, Xiaotong Du, Yingying Xie, Xinjun Suo, Xiaoxi He, Hao Ding, Yu Zhang, Yi Ji, Chao Chai, Meng Liang, Chunshui Yu, Yong Liu, Wen Qin
Summary: By mapping the region-specific nonlinear atrophic trajectory of the whole cerebrum from amnestic mild cognitive impairment (aMCI) to Alzheimer's disease (AD), this study found that the atrophic trajectory is quadratic accelerated, especially in the superior temporal pole, caudate, and hippocampus. Furthermore, the study revealed that APOE ε4 carriers and younger patients had faster atrophic rates in specific regions. Lastly, the identified region-specific biomarkers were able to predict AD conversion within 10 years.
Article
Cell Biology
Ying-Ren Chen, Chih-Sung Liang, Hsin Chu, Joachim Voss, Xiao Linda Kang, Grant O'Connell, Hsiu-Ju Jen, Doresses Liu, Shu-Tai Shen Hsiao, Kuei-Ru Chou
Summary: Blood-based biomarkers have shown high diagnostic accuracy for detecting Alzheimer's disease, with plasma A beta 42, A beta oligomer, and plasma tau demonstrating good sensitivity and specificity. However, evidence for detecting amnestic mild cognitive impairment using blood-based biomarkers is still limited. Ultra-high sensitive technology can help explain the heterogeneity in diagnostic performance.
AGEING RESEARCH REVIEWS
(2021)
Article
Neurosciences
Rolando Castillo-Passi, Rodrigo C. Vergara, Nicole K. Rogers, Daniela P. Ponce, Magdalena Bennett, Maria Isabel Behrens
Summary: This study characterizes the trajectories of memory loss in individuals with early amnestic cognitive impairment with and without a history of previous cancer. It identifies two subgroups, fast progressors and slow progressors, and suggests that a history of cancer can slow down the decline in memory specifically in a subgroup of subjects with depression at baseline and accelerated deterioration at follow-up.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Cell Biology
Li-Qiong Yuan, Qing Zeng, Dan Wang, Xiu-Yun Wen, Yu Shi, Fen Zhu, Shang-Jie Chen, Guo-Zhi Huang
Summary: The study demonstrates that high-frequency rTMS can effectively improve cognitive function and alter brain activity in cognitive-related areas of patients with amnestic mild cognitive impairment. Assessment scores showed a significant increase in the rTMS group compared to baseline, with sustained efficacy observed at the end of treatment and one month later.
NEURAL REGENERATION RESEARCH
(2021)
Article
Public, Environmental & Occupational Health
David G. Goldfarb, Barbara Putman, Lies Lahousse, Rachel Zeig-Owens, Brandon M. Vaeth, Theresa Schwartz, Charles B. Hall, David J. Prezant, Michael D. Weiden
Summary: The study revealed that WTC-exposed firefighters treated with ICS/LABA showed improved FEV1 slope after initiation, especially among those who started treatment earlier. However, for patients who initiated treatment after the median date, there was no association between treatment and FEV1-slope improvement. Further research on alternative treatments is needed for patients with greater than average FEV1 decline who have not responded to ICS/LABA.
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
(2021)
Article
Neurosciences
Andrea R. Zammit, Jingyun Yang, Aron S. Buchman, Sue E. Leurgans, Graciela Muniz-Terrera, Richard B. Lipton, Charles B. Hall, Patricia Boyle, David A. Bennett
Summary: The study categorized older adults into different cognitive classes based on baseline profiles, and found distinct trajectories of cognitive decline among these classes over an average of 8 years of follow-up.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Oncology
Jiehui Li, Janette Yung, Baozhen Qiao, Erin Takemoto, David G. Goldfarb, Rachel Zeig-Owens, James E. Cone, Robert M. Brackbill, Mark R. Farfel, Amy R. Kahn, Maria J. Schymura, Moshe Z. Shapiro, Christopher R. Dasaro, Andrew C. Todd, Dana Kristjansson, David J. Prezant, Paolo Boffetta, Charles B. Hall
Summary: The incidence of cancer has increased among World Trade Center rescue and recovery workers. The study found that the risk of cancer is associated with the length and intensity of exposure to the World Trade Center.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
(2022)
Article
Public, Environmental & Occupational Health
Mayris P. Webber, Ankura Singh, Rachel Zeig-Owens, Joke Salako, Molly Skerker, Charles B. Hall, David G. Goldfarb, Nadia Jaber, Robert D. Daniels, David J. Prezant
Summary: The study compared cancer incidence in FDNY firefighters who worked at the World Trade Center site with non-WTC-exposed firefighters from the CFHS cohort, finding higher cancer rates among FDNY firefighters, especially in prostate and thyroid cancer. Both firefighter cohorts had elevated rates for prostate cancer and melanoma compared to demographically similar US males. Control for surveillance bias in FDNY reduced most differences, suggesting the excess cancers may be partially explained by enhanced surveillance. Long-term follow-up and modeling studies are needed for a clearer understanding of WTC-related risk among firefighters.
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
(2021)
Article
Public, Environmental & Occupational Health
David G. Goldfarb, Rachel Zeig-Owens, Dana Kristjansson, Jiehui Li, Robert M. Brackbill, Mark R. Farfel, James E. Cone, Janette Yung, Amy R. Kahn, Baozhen Qiao, Maria J. Schymura, Mayris P. Webber, Christopher R. Dasaro, Moshe Shapiro, Andrew C. Todd, David J. Prezant, Paolo Boffetta, Charles B. Hall
Summary: The risk of prostate cancer significantly increased among WTC rescue/recovery workers starting in 2007, compared with the general male population in New York State. Unique exposures at the disaster site may have contributed to this effect, along with screening practices like routine prostate specific antigen screening.
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
(2021)
Article
Clinical Neurology
Ali Ezzati, Ahmed Abdulkadir, Clifford R. Jack, Paul M. Thompson, Danielle J. Harvey, Monica Truelove-Hill, Lasya P. Sreepada, Christos Davatzikos, Richard B. Lipton
Summary: The study evaluated the value of the ATN biomarker classification system in predicting conversion from MCI to dementia, with data-driven approaches showing better performance in this prediction. Both classifiers using clinical features and classifiers using ATN biomarkers performed equally well in predicting progression to dementia.
ALZHEIMERS & DEMENTIA
(2021)
Article
Clinical Neurology
Sean A. P. Clouston, Charles B. Hall, Minos Kritikos, David A. Bennett, Steven DeKosky, Jerri Edwards, Caleb Finch, William C. Kreisl, Michelle Mielke, Elaine R. Peskind, Murray Raskind, Marcus Richards, Richard P. Sloan, Avron Spiro, Neil Vasdev, Robert Brackbill, Mark Farfel, Megan Horton, Sandra Lowe, Roberto G. Lucchini, David Prezant, Joan Reibman, Rebecca Rosen, Kacie Sell, Rachel Zeig-Owens, Yael Deri, Erica D. Diminich, Bernadette A. Fausto, Sam Gandy, Mary Sano, Evelyn J. Bromet, Benjamin J. Luft
Summary: The terrorist attacks on the World Trade Center on September 11, 2001 have had long-lasting impacts, with individuals affected facing significant psychological and physical stressors. Research indicates that some of these individuals are experiencing neurocognitive and motor dysfunctions resembling neurodegenerative diseases in midlife, as well as cortical atrophy. Moreover, chronic exposure to the events at the WTC is associated with post-traumatic stress disorder and neurocognitive symptoms.
NATURE REVIEWS NEUROLOGY
(2022)
Article
Clinical Neurology
Ali Ezzati, Kristina M. Fanning, Dawn C. Buse, Jelena M. Pavlovic, Cynthia E. Armand, Michael L. Reed, Vincent T. Martin, Richard B. Lipton
Summary: This study aims to identify predictors of acute treatment response for nonprescription medications among people with migraine and develop improved models for predicting treatment response.
Article
Surgery
Gina Kim, Jiyue Qin, Charles B. Hall, Haejin In
Summary: Low SES is an independent risk factor for late diagnosis in liver, pancreas, and rectal cancers. Insurance is not a critical mediator of difference by SES for most GI cancers, with the exception of rectal cancer.
JOURNAL OF SURGICAL RESEARCH
(2022)
Article
Clinical Neurology
Ali Ezzati, Dawn C. Buse, Kristina M. Fanning, Michael L. Reed, Vincent T. Martin, Richard B. Lipton
Summary: This study aimed to identify predictors of acute treatment optimization among people with episodic migraine. The results showed that men, individuals with higher average headache pain intensity, higher migraine symptom severity scores, presence of cutaneous allodynia, and depression had reduced odds of adequate 2-hour pain freedom response. Adequate 24-hour pain relief was associated with being married, but declined in those with higher-than-average average headache pain intensity and frequency, greater disability, presence of cutaneous allodynia, and depression. Participants taking triptans were more likely to have adequate treatment response compared to those taking butalbital combination medications (BCMs) and opioids. There was no significant difference in response to treatment between participants taking BCMs and opioids.
CLINICAL NEUROLOGY AND NEUROSURGERY
(2022)
Article
Clinical Neurology
Ali Ezzati, Kristina M. Fanning, Michael L. Reed, Richard B. Lipton
Summary: The objective of this study was to identify predictors of acute treatment optimization for migraine with over-the-counter (OTC) medications and to develop predictive models for each class of OTC medication. The study analyzed data from 2224 participants and found that a large subgroup of people with migraine had an inadequate response to their usual OTC migraine treatment. Predictive models identified several factors associated with better treatment response in each class of OTC medication. These findings suggest a need to improve OTC treatment for some and to offer prescription acute medications for others.
Article
Clinical Neurology
Ellen Grober, Kellen K. Petersen, Richard B. Lipton, Jason Hassenstab, John C. Morris, Brian A. Gordon, Ali Ezzati
Summary: This study used the SOMI system to identify individuals with subtle cognitive impairment among those who appear to be cognitively normal. The results showed that participants with retrieval impairment (SOMI-1) had a higher incidence of cognitive impairment, and the risk increased even more for those with storage impairment (SOMI-3/4), after adjusting for demographics and APOE ε4 status. Additionally, the study found that SOMI remained a significant predictor of incident cognitive impairment even after considering biomarkers of β-amyloid, tau pathology, and neurodegeneration.
Article
Public, Environmental & Occupational Health
Ankura Singh, Rachel Zeig-Owens, Madeline Cannon, Mayris P. Webber, David G. Goldfarb, Robert D. Daniels, David J. Prezant, Paolo Boffetta, Charles B. Hall
Summary: This study compared mortality rates between World Trade Center (WTC)-exposed FDNY firefighters and similarly healthy, non-WTC-exposed/non-FDNY firefighters, and compared mortality in each cohort with the general population. The results showed that both cohorts of firefighters had lower all-cause mortality compared to the general population, and WTC-exposed firefighters had lower mortality rates compared to non-WTC-exposed firefighters.
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
(2023)
Article
Clinical Neurology
Ali Ezzati, Christos Davatzikos, David A. Wolk, Charles B. Hall, Christian Habeck, Richard B. Lipton
Summary: This article investigates the application of predictive models in Alzheimer's disease clinical trials to enhance the efficacy by selecting and excluding patients unlikely to show cognitive decline.
ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS
(2022)
Article
Emergency Medicine
Elizabeth A. Lancet, Dario Gonzalez, Nikolaos A. Alexandrou, Benjamin Zabar, Pamela H. Lai, Charles B. Hall, James Braun, Rachel Zeig-Owens, Douglas Isaacs, David Ben-Eli, Nathan Reisman, Bradley Kaufman, Glenn Asaeda, Michael D. Weiden, Anna Nolan, Hugo Teo, Eric Wei, Shaw Natsui, Christopher Philippou, David J. Prezant
Summary: Out-of-hospital SpO2, measured by NYC EMS, was found to be an independent predictor of COVID-19 in-hospital mortality and length of stay, after controlling for the competing risk of death. Patients with lower SpO2 levels have a higher probability of immediate hospital admission, while multiple factors, including age and resource availability, should be considered for patients with higher SpO2 levels before deciding on admission.
JOURNAL OF THE AMERICAN COLLEGE OF EMERGENCY PHYSICIANS OPEN
(2021)
