Article
Neurosciences
Naying He, Kiarash Ghassaban, Pei Huang, Mojtaba Jokar, Ying Wang, Zenghui Cheng, Zhijia Jin, Yan Li, Sean K. Sethi, Yixi He, Yongsheng Chen, Sara Gharabaghi, Shengdi Chen, Fuhua Yan, E. Mark Haacke
Summary: Diagnosing early stage Parkinson's disease remains a clinical challenge. This study aimed to explore the utility of using multiple imaging biomarkers for early stage PD diagnosis, finding that NM and SN volumes were lower while iron content was higher in the SN for PD subjects. The N1 sign performed well, but combining it with NM and iron measures provided a better physiological explanation for its disappearance in PD subjects.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yufan Chen, Tao Gong, Cong Sun, Aocai Yang, Fei Gao, Tong Chen, Weibo Chen, Guangbin Wang
Summary: In this study, the relationship between age-related changes in neuromelanin signal and iron content in the subregions of substantia nigra was investigated in a normal population. It was found that the contrast ratio increased with age, while the volume decreased. These findings may be useful for understanding neurodegenerative diseases in the future.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Liesbeth Reneman, Marieke van der Pluijm, Anouk Schrantee, Elsmarieke van de Giessen
Summary: The dopamine system in the brain plays a crucial role in various neurologic and psychiatric disorders, with PET and SPECT being used to visualize and measure different aspects of the system. New developments in MR imaging offer alternative ways to assess the dopamine system, with techniques like phMRI and NM-MRI showing promise for clinical application.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Neurosciences
Mojtaba Jokar, Zhijia Jin, Pei Huang, Ying Wang, Youmin Zhang, Yan Li, Zenghui Cheng, Yu Liu, Rongbiao Tang, Xiaofeng Shi, Jihua Min, Fangtao Liu, Shengdi Chen, Naying He, E. Mark Haacke, Fuhua Yan
Summary: This study developed a comprehensive imaging biomarker for diagnosing Parkinson's disease by using a template-based, automatic segmentation method to detect the features of neuromelanin and iron in the substantia nigra. The combination of the N1 sign with other quantitative measures significantly improved the accuracy of Parkinson's disease diagnosis.
Article
Clinical Neurology
Sonoko Oshima, Yasutaka Fushimi, Tomohisa Okada, Satoshi Nakajima, Yusuke Yokota, Atsushi Shima, John Grinstead, Sinyeob Ahn, Nobukatsu Sawamoto, Ryosuke Takahashi, Yuji Nakamoto
Summary: The study assessed a new MRI imaging technique that can visualize neuromelanin in the substantia nigra with high resolution in a short scan time, showing potential for evaluating Parkinson's disease.
MOVEMENT DISORDERS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marieke van der Pluijm, Clifford Cassidy, Melissa Zandstra, Elon Wallert, Kora de Bruin, Jan Booij, Lieuwe de Haan, Guillermo Horga, Elsmarieke van de Giessen
Summary: NM-MRI is a highly reproducible measure, with the GRE sequence showing the highest contrast and lowest variability for CR measurements.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Clinical Neurology
Marta Gonzalez-Sepulveda, Joan Compte, Thais Cuadros, Alba Nicolau, Camille Guillard-Sirieix, Nuria Penuelas, Marina Lorente-Picon, Annabelle Parent, Jordi Romero-Gimenez, Joana M. Cladera-Sastre, Ariadna Laguna, Miquel Vila
Summary: Neurons that accumulate the highest levels of neuromelanin with age are also the most susceptible to degeneration in Parkinson's disease. Using a neuromelanin-producing rat model, Gonzalez-Sepulveda, Compte et al. show that slowing down age-dependent neuromelanin production can help prevent Parkinson's disease-like features.
Article
Geriatrics & Gerontology
Fei Tang, Hui Liu, Xiao Jie Zhang, Hui Hui Zheng, Yong Ming Dai, Li Yun Zheng, Wen Han Yang, Yan Yao Du, Jun Liu
Summary: This study used NM-MRI to measure NM concentrations in different brain regions following acute MA administration in rats. The results suggest that NM is mainly deposited in the SN, and acute MA exposure leads to increased accumulation of NM in multiple brain regions. NM-MRI may serve as a powerful imaging tool for detecting pathological changes in drug addiction and related non-neurodegenerative diseases.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Neurosciences
Malte Brammerloh, Markus Morawski, Isabel Friedrich, Tilo Reinert, Charlotte Lange, Primoz Pelicon, Primoz Vavpetic, Steffen Jankuhn, Carsten Jaeger, Anneke Alkemade, Rawien Balesar, Kerrin Pine, Filippos Gavriilidis, Robert Trampel, Enrico Reimer, Thomas Arendt, Nikolaus Weiskopf, Evgeniya Kirilina
Summary: In Parkinson's disease, monitoring the depletion of iron-rich dopaminergic neurons in nigrosome 1 with MRI could serve as a potential biomarker for early diagnosis.
Article
Clinical Neurology
Marieke van der Pluijm, Elon D. Wallert, Bram F. Coolen, Kaithlyn T. Tjong Tjin Joe, Lieuwe de Haan, Jan Booij, Elsmarieke van de Giessen
Summary: This study compared different approaches to accelerate NM-MRI sequences and found that 2D sequences with compressed sense (CS) had the best reliability.
Article
Neuroimaging
Xinhui Wang, Pei Huang, Ewart Mark Haacke, Yu Liu, Youmin Zhang, Zhijia Jin, Yan Li, Qiuyun Xu, Peng Liu, Shengdi Chen, Naying He, Fuhua Yan
Summary: Neuromelanin measures of the substantia nigra and locus coeruleus can improve the differential diagnosis of essential tremor and Parkinson's disease. There are significant differences in neuromelanin measures between patients with Parkinson's disease and those with essential tremor or healthy controls. Utilizing these measures for differential diagnosis can achieve high accuracy.
NEUROIMAGE-CLINICAL
(2023)
Review
Behavioral Sciences
Fumihiko Ueno, Yusuke Iwata, Shinichiro Nakajima, Fernando Caravaggio, Jose M. Rubio, Guillermo Horga, Clifford M. Cassidy, Edgardo Torres-Carmona, Vincenzo de Luca, Sakiko Tsugawa, Shiori Honda, Sho Moriguchi, Yoshihiro Noda, Philip Gerretsen, Ariel Graff-Guerrero
Summary: This study found that patients with schizophrenia have increased levels of neuromelanin in the substantia nigra, suggesting that it may serve as a potential biomarker for stratifying schizophrenia.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Neurosciences
Sooyeon Ji, Eun-Jung Choi, Beomseok Sohn, Kyoungwon Baik, Na-Young Shin, Won-Jin Moon, Seongbeom Park, Soohwa Song, Phil Hyu Lee, Dong Hoon Shin, Se-Hong Oh, Eung Yeop Kim, Jongho Lee
Summary: This study proposes a new NM-sensitive imaging method called sandwichNM, which utilizes the incidental MT effects of spatial saturation RF pulses to generate high-quality NM images using product sequences. Compared to conventional NM-sensitive imaging methods, sandwichNM provides higher NM contrast and consistent contrasts across vendors in a multi-vendor experiment.
Article
Geriatrics & Gerontology
Shangpei Wang, Tong Wu, Yajie Cai, Yongqiang Yu, Xianwen Chen, Longsheng Wang
Summary: The downregulation of monoamines, particularly dopamine and norepinephrine, is associated with freezing of gait in Parkinson's disease. NM-MRI revealed decreased volume, surface area, and CNR of SN and LC in PD-FOG patients. The measurements of SN and LC showed correlations with clinical symptoms and freezing of gait questionnaire scores, and CNR had good sensitivity and specificity for distinguishing PD from HC.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Geriatrics & Gerontology
Septian Hartono, Robert Chun Chen, Thomas Welton, An Sen Tan, Weiling Lee, Peik Yen Teh, Celeste Chen, Wenlu Hou, Wei Ping Tham, Ee Wei Lim, Kumar M. Prakash, Yao-Chia Shih, Kuan Jin Lee, Louis C. S. Tan, Eng King Tan, Ling Ling Chan
Summary: Quantitative neuromelanin-iron MRI has demonstrated excellent diagnostic accuracy for Parkinson's disease and showed correlation with motor severity. It has the potential to improve diagnostic confidence in clinical settings and track disease progression and response to treatment.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Neurosciences
Alexandra M. Reardon, Kaiming Li, Jason Langley, Xiaoping P. Hu
Summary: This study identifies ASD subtypes with distinct connectomic and clinical profiles by combining connectomic and behavioral measures, providing strong support for disease subtyping.
BRAIN CONNECTIVITY
(2022)
Article
Neurosciences
Jason Langley, Sana Hussain, Daniel E. Huddleston, Ilana J. Bennett, Xiaoping P. Hu
Summary: This study examined the differences in structural connectivity between the locus coeruleus (LC) and the thalamus in younger and older adults using high-resolution diffusion tensor imaging-based tractography. The results showed that LC projections degrade with age, and the extent of degradation is associated with cognitive abilities in older adults.
BRAIN CONNECTIVITY
(2022)
Review
Clinical Neurology
Gregory D. Scott, Moriah R. Arnold, Thomas G. Beach, Christopher H. Gibbons, Anumantha G. Kanthasamy, Russell M. Lebovitz, Afina W. Lemstra, Leslie M. Shaw, Charlotte E. Teunissen, Henrik Zetterberg, Angela S. Taylor, Todd C. Graham, Bradley F. Boeve, Stephen N. Gomperts, Neill R. Graff-Radford, Charbel Moussa, Kathleen L. Poston, Liana S. Rosenthal, Marwan N. Sabbagh, Ryan R. Walsh, Miriam T. Weber, Melissa J. Armstrong, Jee A. Bang, Andrea C. Bozoki, Kimiko Domoto-Reilly, John E. Duda, Jori E. Fleisher, Douglas R. Galasko, James E. Galvin, Jennifer G. Goldman, Samantha K. Holden, Lawrence S. Honig, Daniel E. Huddleston, James B. Leverenz, Irene Litvan, Carol A. Manning, Karen S. Marder, Alexander Y. Pantelyat, Victoria S. Pelak, Douglas W. Scharre, Sharon J. Sha, Holly A. Shill, Zoltan Mari, Joseph F. Quinn, David J. Irwin
Summary: The LBDA Biofluid/Tissue Biomarker Symposium, held by the Lewy Body Dementia Association, presented advancements in biomarkers for Lewy body dementia (LBD) and attracted over 200 scientists and physicians from various institutions. The methods for confirming and quantifying the presence of Lewy body and Alzheimer's pathology, as well as novel biomarkers, were discussed.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neurosciences
Jason Langley, Kristy S. Hwang, Xiaoping P. Hu, Daniel E. Huddleston
Summary: In this study, MRI measures were used to differentiate SWEDD and PD individuals, and it was found that SWEDD individuals had similar nigral volume and free water content as controls, while PD individuals showed reduction in nigral volume and increased free water content compared to SWEDD and control participants. These results suggest that MRI measures can be explored as a cost-effective alternative to DaTScan for evaluating the nigrostriatal system.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Sana Hussain, Jason Langley, Aaron R. R. Seitz, Xiaoping P. P. Hu, Megan A. K. Peters
Summary: Hidden Markov Models (HMMs) are commonly used to analyze neuroimaging data and identify recurring patterns. However, most existing HMMs define states based on activity levels rather than functional connectivity patterns. In this study, we introduced a new HMM that defines states based on full functional connectivity profiles, which outperformed previous methods in accurately identifying connectivity states.
BRAIN CONNECTIVITY
(2023)
Article
Multidisciplinary Sciences
Kristy S. Hwang, Jason Langley, Richa Tripathi, Xiaoping P. Hu, Daniel E. Huddleston
Summary: Patients with Parkinson's disease exhibit loss of melanized neurons in substantia nigra pars compacta and locus coeruleus. This study used magnetic resonance imaging (MRI) to simultaneously assess the pathology of these structures in Parkinson's disease patients. The results showed significant volume reduction in the substantia nigra pars compacta and locus coeruleus in Parkinson's disease patients compared to controls in two separate cohorts. This imaging approach could serve as a promising marker for neurodegenerative neuromelanin loss in Parkinson's disease.
Article
Clinical Neurology
Jonathan E. Elliott, Miranda M. Lim, Allison T. Keil, Ronald B. Postuma, Amelie Pelletier, Jean-Francois Gagnon, Erik K. St Louis, Leah K. Forsberg, Julie A. Fields, Daniel E. Huddleston, Donald L. Bliwise, Alon Y. Avidan, Michael J. Howell, Carlos H. Schenck, Jennifer McLeland, Susan R. Criswell, Aleksandar Videnovic, Emmanuel H. During, Mitchell G. Miglis, David R. Shprecher, Joyce K. Lee-Iannotti, Bradley F. Boeve, Yo-El S. Ju
Summary: Rapid eye movement (REM) sleep behavior disorder (RBD) is considered a prodromal synucleinopathy, and the North American Prodromal Synucleinopathy (NAPS) Consortium has created a clinic-based cohort for RBD participants to study diagnosis, predictors, biomarkers, and clinical trials. The participants showed abnormalities in cognition, motor function, sensory function, autonomic function, and anxiety/depression. They will be valuable for future studies and trials.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2023)
Article
Neurosciences
Kaiqing Chen, Xiaoping Hu
Summary: Intranasal administration of creatine increases brain creatine levels and improves cognitive performance in rats, while oral administration and control groups did not show the same effect.
BRAIN RESEARCH BULLETIN
(2023)
Meeting Abstract
Clinical Neurology
J. Elliott, M. Lim, A. Keil, A. Avidan, D. Bliwise, J. -F. Gagnon, M. Howell, D. Huddleston, J. McLeland, R. Postuma, E. St Louis, A. Videnovic, B. Boeve, Y. -E. Ju
JOURNAL OF SLEEP RESEARCH
(2022)
Meeting Abstract
Clinical Neurology
Daniel Huddleston, Jason Langley, Xiangchuan Chen, Samuel John, Kevin Littrell, Kelsey Tucker, Xiaoping Hu
ANNALS OF NEUROLOGY
(2022)
Meeting Abstract
Clinical Neurology
Jonathan Elliott, Miranda Lim, Allison Keil, Alon Avidan, Don Bliwise, Jean-Francois Gagnon, Michael Howell, Daniel Huddleston, Jennifer McLeland, Ronald Postuma, Erik St Louis, Aleksandar Videnovic, Bradley Boeve, Yo-El Ju
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.