Article
Neurosciences
Wataru Uchida, Koji Kamagata, Christina Andica, Kaito Takabayashi, Yuya Saito, Mana Owaki, Shohei Fujita, Akifumi Hagiwara, Akihiko Wada, Toshiaki Akashi, Katsuhiro Sano, Masaaki Hori, Shigeki Aoki
Summary: This study used fixel-based analysis to evaluate white matter damage in patients with progressive supranuclear palsy and corticobasal syndrome. It found that fiber density and fiber cross-section loss patterns were associated with clinical symptoms, consistent with previous histopathological studies on tau protein propagation. The study suggests that fixel-based analysis can monitor tau-related white matter changes in real-time.
NPJ PARKINSONS DISEASE
(2023)
Article
Biology
Victor Nozais, Stephanie J. Forkel, Laurent Petit, Lia Talozzi, Maurizio Corbetta, Michel Thiebaut de Schotten, Marc Joliot
Summary: Resting-state functional magnetic resonance imaging has shown that functional connectivity within and between networks is related to cognitive states and pathologies. However, the white matter connections supporting this connectivity have only been partially described. A new method has been developed to map the white and grey matter contributing to each resting-state network, demonstrating the overlap between networks and the potential impact of white matter lesions on network communication. An atlas and open-source software have been provided to facilitate the study of white matter damage to resting-state networks, with initial application showing promising results in identifying impacted networks in stroke patients.
COMMUNICATIONS BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Florence L. Chiang, Max Feng, Rebecca S. Romero, Larry Price, Crystal G. Franklin, Shengwen Deng, Jodie P. Gray, Fang F. Yu, Bundhit Tantiwongkosi, Susie Y. Huang, Peter T. Fox
Summary: The study defined the atrophy-based functional network model using coordinate-based meta-analysis, revealing the association of functional network disruption in multiple sclerosis and finding a strong positive correlation with clinical disability on resting-state functional MRI scans.
Article
Neuroimaging
Hua Lin, Muwei Li, Yang Zhan, Li Lin, Kun Yang, Shimin Hu, Ying Han
Summary: The study investigated the impact of APOE ε4 on specific white matter functional connectivity in aMCI patients, revealing decreased functional connectivity in specific regions in APOE ε4 carriers, which differed from regions of aMCI-related changes. The findings suggest that APOE ε4 genotype exerts a negative impact on neural activity in both gray and white matter, potentially contributing to functional disconnection and memory decline in aMCI.
BRAIN IMAGING AND BEHAVIOR
(2021)
Article
Neurosciences
Daniel N. Bullock, Elena A. Hayday, Mark D. Grier, Wei Tang, Franco Pestilli, Sarah R. Heilbronner
Summary: The functional and computational properties of brain areas are largely determined by their connectivity profiles. White matter, as the foundation of long-range anatomical connections, plays a crucial role in studying brain connectivity and anatomy. However, different accounts of white matter tract anatomy hinder our accurate mapping of the connectivity of the human brain. By combining histological tract-tracing and diffusion-weighted tractography studies, we can gain new insights into brain connectivity.
Article
Neuroimaging
Xuan Li, Yuchao Jiang, Wei Li, Yingjie Qin, Zhiliang Li, Yan Chen, Xin Tong, Fenglai Xiao, Xiaojun Zuo, Qiyong Gong, Dong Zhou, Dezhong Yao, Dongmei An, Cheng Luo
Summary: The study revealed decreased functional connectivity in white matter networks among unilateral temporal lobe epilepsy patients, especially dysfunction between cerebellar white matter and cerebral cortex, as well as reduced connectivity with ipsilateral hippocampus, suggesting insufficient functional integration in unilateral TLE. Moreover, right TLE showed more severe abnormalities in white matter functional connectivity compared to left TLE.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Neurosciences
Yang Yang, Shilei Wang, Jiayi Liu, Guangyuan Zou, Jun Jiang, Binghu Jiang, Wentian Cao, Qihong Zou
Summary: This study used simultaneous EEG and fMRI data to investigate the functional characteristics of white matter during sleep. The results showed decreased functional connectivity between superficial and middle layer white matter networks from wakefulness to sleep. Furthermore, the functional connectivity between deep and cerebellar networks was higher during light sleep and lower during wakefulness and deep sleep. Additionally, the regional fluctuation amplitude was higher during light sleep and lower during deep sleep.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Wan Liu, Qi Lu, Zhizheng Zhuo, Yuxing Li, Yunyun Duan, Pinnan Yu, Liying Qu, Chuyang Ye, Yaou Liu
Summary: This study aims to improve the segmentation of white matter tracts based on diffusion magnetic resonance imaging. By exploiting the characteristics of WM tracts and modifying the network design, a segmentation method based on embedded space is proposed, which significantly enhances the accuracy of segmentation.
Article
Neurosciences
Pan Wang, Jianlin Wang, Andrew Michael, Zedong Wang, Benjamin Klugah-Brown, Chun Meng, Bharat B. Biswal
Summary: A comprehensive characterization of the spatiotemporal organization in the whole brain is critical for understanding the function and dysfunction of the human brain. This study found that white matter functional connectivity is more dynamic than gray matter functional connectivity, suggesting that white matter may hold important cues for establishing the functional organization of the whole brain.
Article
Computer Science, Artificial Intelligence
Qi Lu, Wan Liu, Zhizheng Zhuo, Yuxing Li, Yunyun Duan, Pinnan Yu, Liying Qu, Chuyang Ye, Yaou Liu
Summary: Convolutional neural networks have achieved excellent performance in white matter tract segmentation based on diffusion magnetic resonance imaging. This work proposes an improved transfer learning approach that incorporates knowledge from a pretrained model into the fine-tuning process for segmenting novel white matter tracts in a few-shot setting. The use of a data augmentation strategy further enhances the segmentation performance.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Anatomy & Morphology
Tory O. Frizzell, Elisha Phull, Mishaa Khan, Xiaowei Song, Lukas A. Grajauskas, Jodie Gawryluk, Ryan C. N. D'Arcy
Summary: This study evaluated white matter neuroplasticity in healthy adults pre-post motor training, specifically focusing on motor learning in the non-dominant hand. Changes in neuroplasticity were observed in the internal capsule and corpus callosum, with significant amplitude reductions in low-frequency oscillations implicating optimized transmission through altered myelination. The findings open new avenues for white matter investigations and advance MRI clinical applications.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Geriatrics & Gerontology
Xuefei Zhang, Yu Shi, Tao Fan, Kangling Wang, Hongrui Zhan, Wen Wu
Summary: This study used graph theory to analyze structural networks and explored the structural connectivity-functional connectivity coupling of multi-scale brain networks in patients with post-stroke depression (PSD). The results showed that the structural network in PSD was characterized by reduced clustering, increased path length, and lower modularity.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Muwei Li, Yurui Gao, Zhaohua Ding, John C. Gore
Summary: Heterogeneity of white matter signals was revealed through power spectral analysis, showing differences in local structural-vascular-functional associations.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Bin Guo, Fugen Zhou, Muwei Li, John C. Gore
Summary: This study reveals the characteristics and roles of white matter BOLD signals in brain functions, and finds similar communication patterns to gray matter. The variations of lag structure within white matter are associated with different sensory states.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Neurosciences
Kiran Dhakal, Martin Norgaard, Mukesh Dhamala
Summary: This study revealed that advanced jazz improvisers show elevated white matter fiber properties in the lateral prefrontal and supplementary motor areas compared to non-musicians, indicating a connection between their creative skill and long-timescale brain structural network changes during musical improvisation tasks.
Article
Clinical Neurology
Neha Atulkumar Singh, Nirubol Tosakulwong, Jonathan Graff-Radford, Mary M. Machulda, Nha Trang Thu Pham, Irene Sintini, Stephen D. Weigand, Christopher G. Schwarz, Matthew L. Senjem, Minerva M. Carrasquillo, Nilufer Ertekin-Taner, Clifford R. Jack, Val J. Lowe, Keith A. Josephs, Jennifer L. Whitwell
Summary: APOE epsilon 4 is an important genetic risk factor for typical Alzheimer's disease (AD), but its influence in atypical presentations of AD is not well-known. This study found that APOE epsilon 4 carriers had smaller hippocampal and amygdala volumes and greater tau deposition, while non-carriers showed faster rates of atrophy and tau accumulation in certain brain regions.
ALZHEIMERS & DEMENTIA
(2023)
Article
Clinical Neurology
Maria Vassilaki, Jeremiah A. Aakre, Anna Castillo, Alanna M. Chamberlain, Patrick M. Wilson, Walter K. Kremers, Michelle M. Mielke, Yonas E. Geda, Mary M. Machulda, Rabe E. Alhurani, Jonathan Graff-Radford, Prashanthi Vemuri, Val J. Lowe, Clifford R. Jack, David S. Knopman, Ronald C. Petersen
Summary: The study found an association between neighborhood socioeconomic deprivation and cognitive decline, mild cognitive impairment, and dementia in older adults. Higher levels of neighborhood deprivation were associated with an increased risk of progression to dementia and slightly faster cognitive decline.
ALZHEIMERS & DEMENTIA
(2023)
Article
Clinical Neurology
Michael W. Weiner, Danielle Harvey, Susan M. Landau, Dallas P. Veitch, Thomas C. Neylan, Jordan H. Grafman, Paul S. Aisen, Ronald C. Petersen, Clifford R. Jack, Duygu Tosun, Leslie M. Shaw, John Q. Trojanowski, Andrew J. Saykin, Jacqueline Hayes, Charles De Carli
Summary: The study found no significant association between TBI and/or PTSD and biomarker-defined AD. Veterans with TBI and/or PTSD had poorer cognitive status, which may be attributed to other comorbid pathologies.
ALZHEIMERS & DEMENTIA
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Emanuele Camerucci, Jonathan Graff-Radford, David T. Jones, Benjamin D. Elder, Jeffrey L. Gunter, Jeremy K. Cutsforth-Gregory, Hugo Botha, Matthew C. Murphy, Derek R. Johnson, Caroline Davidge-Pitts, Clifford R. Jack, John Huston, Petrice M. Cogswell
Summary: This study evaluated the change in size of focally enlarged sulci (FES) and pituitary height after shunt placement in patients with idiopathic normal pressure hydrocephalus (iNPH). The results showed a significant decrease in FES volume and a significant increase in pituitary gland size after shunt placement.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Oncology
Firat Kara, Christine M. Lohse, Anna M. Castillo, Nirubol Tosakulwong, Timothy G. Lesnick, Clifford R. Jack, Ronald C. Petersen, Janet E. Olson, Fergus J. Couch, Kathryn J. Ruddy, Kejal Kantarci, Michelle M. Mielke
Summary: This study aimed to investigate whether the use of selective estrogen receptor modifiers (SERMs), including tamoxifen and raloxifene, was associated with cognitive performance and markers of neurodegeneration associated with Alzheimer's disease. The results showed no significant associations between the use of SERMs and cognition or MCI in both breast cancer patients and women without a history of cancer.
Article
Neurosciences
Nick Corriveau-Lecavalier, Leland R. Barnard, Jeyeon Lee, Ellen Dicks, Hugo Botha, Jonathan Graff-Radford, Mary M. Machulda, Bradley F. Boeve, David S. Knopman, Val J. Lowe, Ronald C. Petersen, Clifford R. Jack, David T. Jones
Summary: This study reveals the heterogeneity of dysexecutive Alzheimer's disease (dAD) and proposes a conceptual framework of executive components based on clinico-radiological associations. The use of data-driven approaches can provide valuable insights into brain-behavior relationships in dAD.
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
Clinical Neurology
Vijay K. Ramanan, Robel K. Gebre, Jonathan Graff-Radford, Ekaterina Hofrenning, Alicia Algeciras-Schimnich, Daniel J. Figdore, Val J. Lowe, Michelle M. Mielke, David S. Knopman, Owen A. Ross, Clifford R. Jack Jr, Ronald C. Petersen, Prashanthi Vemuri
Summary: Ramanan et al. found that integrating genetic risk scores improves the diagnostic value of plasma biomarkers for Alzheimer's disease, especially in predicting amyloid PET positivity. However, more advances are needed before these biomarkers can be widely used. By analyzing a large sample, they discovered that the AD-GRS is independently associated with amyloid PET levels and significantly enhances the classification accuracy of amyloid PET positivity when combined with high plasma p-tau(181). Machine learning methods that incorporate plasma biomarkers, demographics, and the AD-GRS show high accuracy in predicting amyloid PET levels.
Article
Clinical Neurology
Neha Atulkumar Singh, Peter R. Martin, Jonathan Graff-Radford, Irene Sintini, Mary M. Machulda, Joseph R. Duffy, Jeffrey L. Gunter, Hugo Botha, David T. Jones, Val J. Lowe, Clifford R. JackJr, Keith A. Josephs, Jennifer L. Whitwell
Summary: Posterior cortical atrophy and logopenic progressive aphasia are atypical clinical presentations of Alzheimer's disease, both showing disruptions in functional networks. The language network is affected in logopenic progressive aphasia, while the visual network is affected in posterior cortical atrophy. However, there is limited knowledge about the differences in connectivity within and between brain networks in these atypical Alzheimer's disease phenotypes.
BRAIN COMMUNICATIONS
(2023)
Article
Clinical Neurology
Nick Corriveau-Lecavalier, Jeffrey L. Gunter, Michael Kamykowski, Ellen Dicks, Hugo Botha, Walter K. Kremers, Jonathan Graff-Radford, Daniela A. Wiepert, Christopher G. Schwarz, Essa Yacoub, David S. Knopman, Bradley F. Boeve, Kamil Ugurbil, Ronald C. Petersen, Clifford R. Jack, Melissa J. Terpstra, David T. Jones
Summary: From a complex systems perspective, clinical syndromes emerging from neurodegenerative diseases are thought to result from multiscale interactions between aggregates of misfolded proteins and the disequilibrium of large-scale networks coordinating functional operations underpinning cognitive phenomena. Age-related disruption of the default mode network is accelerated by amyloid deposition in all syndromic presentations of Alzheimer's disease, while syndromic variability may reflect selective neurodegeneration of modular networks supporting specific cognitive abilities. This study investigates the use of a biomarker of default mode network dysfunction, the network failure quotient, to assess Alzheimer's disease in a normative cohort and differentiate between different phenotypes of the disease. The study provides important insights into the shared pathophysiological mechanisms and distinct neurodegenerative processes involved in Alzheimer's disease.
BRAIN COMMUNICATIONS
(2023)
Article
Neurosciences
Nicole S. McKay, Brian A. Gordon, Russ C. Hornbeck, Aylin Dincer, Shaney Flores, Sarah J. Keefe, Nelly Joseph-Mathurin, Clifford R. Jack, Robert Koeppe, Peter R. Millar, Beau M. Ances, Charles D. Chen, Alisha Daniels, Diana A. Hobbs, Kelley Jackson, Deborah Koudelis, Parinaz Massoumzadeh, Austin McCullough, Michael L. Nickels, Farzaneh Rahmani, Laura Swisher, Qing Wang, Ricardo F. Allegri, Sarah B. Berman, Adam M. Brickman, William S. Brooks, David M. Cash, Jasmeer P. Chhatwal, Gregory S. Day, Martin R. Farlow, Christian la Fougere, Nick C. Fox, Michael Fulham, Bernardino Ghetti, Neill Graff-Radford, Takeshi Ikeuchi, William Klunk, Jae-Hong Lee, Johannes Levin, Ralph Martins, Colin L. Masters, Jonathan McConathy, Hiroshi Mori, James Noble, Gerald Reischl, Christopher Rowe, Stephen Salloway, Raquel Sanchez-Valle, Peter R. Schofield, Hiroyuki Shimada, Mikio Shoji, Yi Su, Kazushi Suzuki, Jonathan Voeglein, Igor Yakushev, Carlos Cruchaga, Jason Hassenstab, Celeste Karch, Eric McDade, Richard J. Perrin, Chengjie Xiong, John C. Morris, Randall J. Bateman, Tammie L. S. Benzinger
Summary: The Dominantly Inherited Alzheimer Network (DIAN) is an international collaboration that studies autosomal dominant Alzheimer disease (ADAD). ADAD arises from mutations in three genes. Non-carrier siblings from ADAD families can be recruited for case-control studies. The predictable age of onset in ADAD allows for mapping candidate AD biomarkers during the preclinical phase. This study provides valuable data for understanding early disease stages of both ADAD and sporadic AD, as well as for research in healthy aging.
NATURE NEUROSCIENCE
(2023)
Review
Neurosciences
Jacob W. Vogel, Nick Corriveau-Lecavalier, Nicolai Franzmeier, Joana B. Pereira, Jesse A. Brown, Anne Maass, Hugo Botha, William W. Seeley, Dani S. Bassett, David T. Jones, Michael Ewers
Summary: Neurodegenerative diseases are the main cause of dementia, and recent findings suggest that pathological proteins spread through brain networks. The alterations in brain networks may actively modulate the spreading of these proteins. Understanding these mechanisms is crucial for predicting and treating neurodegenerative diseases.
NATURE REVIEWS NEUROSCIENCE
(2023)
Article
Clinical Neurology
Jun-Pyo Hong, Hanim Kwon, Euyhyun Park, Sun-Uk Lee, Chan-Nyoung Lee, Byung-Jo Kim, Ji-Soo Kim, Kun-Woo Park
Summary: In patients with mild-to-moderate PD, vestibular function assessed by video head-impulse tests appears relatively preserved and has minimal impact on the risk of falls. Risk of postural instability is associated with the severity of clinical symptoms in PD.
PARKINSONISM & RELATED DISORDERS
(2024)
Article
Clinical Neurology
Yaqin Xiang, XiuRong Huang, Qian Xu, Zhenhua Liu, Yase Chen, Qiying Sun, Junling Wang, Hong Jiang, Lu Shen, Xinxiang Yan, Beisha Tang, Jifeng Guo
Summary: Using the novel data-driven method DEBM, this study determined the sequence of several common biomarker changes in Parkinson's disease (PD). The left putamen was found to be the earliest biomarker to become abnormal, followed by the right putamen, CSF alpha-synuclein, right caudate, left caudate, and serum NfL. The estimated disease stages showed significant differences between PD and healthy controls, and achieved a high accuracy for distinguishing PD from HC.
PARKINSONISM & RELATED DISORDERS
(2024)
Article
Clinical Neurology
Yan Li, David J. McLernon, Carl E. Counsell, Angus D. Macleod
Summary: This study aimed to investigate the incidence and risk factors for institutionalisation in Parkinson's disease (PD) and atypical parkinsonism (AP). The study found that institutionalisation was more frequent in AP compared to PD and controls. Age, poorer cognition, and more-severe parkinsonian impairment were independent predictors of institutionalisation.
PARKINSONISM & RELATED DISORDERS
(2024)